program(1.0)
[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "3520.4.1"}, {"coremlc-version", "3520.5.1"}, {"coremltools-component-torch", "2.12.0"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "9.0"}})]
{
    func main<ios17>(tensor<fp32, [1, 32, 8]> latents) {
            tensor<fp32, []> var_25 = const()[name = tensor<string, []>("op_25"), val = tensor<fp32, []>(0x1.47ae14p-7)];
            tensor<int32, []> var_30 = const()[name = tensor<string, []>("op_30"), val = tensor<int32, []>(1)];
            tensor<int32, [6]> x_1_pad_0 = const()[name = tensor<string, []>("x_1_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_1_mode_0 = const()[name = tensor<string, []>("x_1_mode_0"), val = tensor<string, []>("constant")];
            tensor<string, []> latents_to_fp16_dtype_0 = const()[name = tensor<string, []>("latents_to_fp16_dtype_0"), val = tensor<string, []>("fp16")];
            tensor<fp16, []> const_0_to_fp16 = const()[name = tensor<string, []>("const_0_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 32, 8]> latents_to_fp16 = cast(dtype = latents_to_fp16_dtype_0, x = latents)[name = tensor<string, []>("cast_11")];
            tensor<fp16, [1, 32, 14]> x_1_cast_fp16 = pad(constant_val = const_0_to_fp16, mode = x_1_mode_0, pad = x_1_pad_0, x = latents_to_fp16)[name = tensor<string, []>("x_1_cast_fp16")];
            tensor<string, []> x_3_pad_type_0 = const()[name = tensor<string, []>("x_3_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_3_strides_0 = const()[name = tensor<string, []>("x_3_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_3_pad_0 = const()[name = tensor<string, []>("x_3_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_3_dilations_0 = const()[name = tensor<string, []>("x_3_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_3_groups_0 = const()[name = tensor<string, []>("x_3_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [864, 32, 7]> m_decoder_pre_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_pre_conv_weight_to_fp16"), val = tensor<fp16, [864, 32, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(64)))];
            tensor<fp16, [864]> m_decoder_pre_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_pre_conv_bias_to_fp16"), val = tensor<fp16, [864]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(387200)))];
            tensor<fp16, [1, 864, 8]> x_3_cast_fp16 = conv(bias = m_decoder_pre_conv_bias_to_fp16, dilations = x_3_dilations_0, groups = x_3_groups_0, pad = x_3_pad_0, pad_type = x_3_pad_type_0, strides = x_3_strides_0, weight = m_decoder_pre_conv_weight_to_fp16, x = x_1_cast_fp16)[name = tensor<string, []>("x_3_cast_fp16")];
            tensor<int32, [3]> x_5_begin_0 = const()[name = tensor<string, []>("x_5_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_5_end_0 = const()[name = tensor<string, []>("x_5_end_0"), val = tensor<int32, [3]>([1, 432, 8])];
            tensor<bool, [3]> x_5_end_mask_0 = const()[name = tensor<string, []>("x_5_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 432, 8]> x_5_cast_fp16 = slice_by_index(begin = x_5_begin_0, end = x_5_end_0, end_mask = x_5_end_mask_0, x = x_3_cast_fp16)[name = tensor<string, []>("x_5_cast_fp16")];
            tensor<fp16, [1, 432, 1]> m_decoder_activations_0_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_activations_0_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 432, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(388992)))];
            tensor<fp16, [1, 432, 8]> var_79_cast_fp16 = mul(x = m_decoder_activations_0_snake_act_alpha_to_fp16, y = x_5_cast_fp16)[name = tensor<string, []>("op_79_cast_fp16")];
            tensor<fp16, [1, 432, 8]> s_1_cast_fp16 = sin(x = var_79_cast_fp16)[name = tensor<string, []>("s_1_cast_fp16")];
            tensor<fp16, [1, 432, 1]> var_83_to_fp16 = const()[name = tensor<string, []>("op_83_to_fp16"), val = tensor<fp16, [1, 432, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(389952)))];
            tensor<fp16, [1, 432, 8]> var_86_cast_fp16 = mul(x = var_83_to_fp16, y = s_1_cast_fp16)[name = tensor<string, []>("op_86_cast_fp16")];
            tensor<fp16, [1, 432, 8]> var_87_cast_fp16 = mul(x = var_86_cast_fp16, y = s_1_cast_fp16)[name = tensor<string, []>("op_87_cast_fp16")];
            tensor<fp16, [1, 432, 8]> s_3_cast_fp16 = add(x = x_5_cast_fp16, y = var_87_cast_fp16)[name = tensor<string, []>("s_3_cast_fp16")];
            tensor<int32, [3]> input_1_begin_0 = const()[name = tensor<string, []>("input_1_begin_0"), val = tensor<int32, [3]>([0, 432, 0])];
            tensor<int32, [3]> input_1_end_0 = const()[name = tensor<string, []>("input_1_end_0"), val = tensor<int32, [3]>([1, 864, 8])];
            tensor<bool, [3]> input_1_end_mask_0 = const()[name = tensor<string, []>("input_1_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 432, 8]> input_1_cast_fp16 = slice_by_index(begin = input_1_begin_0, end = input_1_end_0, end_mask = input_1_end_mask_0, x = x_3_cast_fp16)[name = tensor<string, []>("input_1_cast_fp16")];
            tensor<fp16, [1, 432, 8]> l_1_cast_fp16 = leaky_relu(alpha = var_25, x = input_1_cast_fp16)[name = tensor<string, []>("l_1_cast_fp16")];
            tensor<bool, []> x_7_interleave_0 = const()[name = tensor<string, []>("x_7_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 864, 8]> x_7_cast_fp16 = concat(axis = var_30, interleave = x_7_interleave_0, values = (s_3_cast_fp16, l_1_cast_fp16))[name = tensor<string, []>("x_7_cast_fp16")];
            tensor<string, []> y_1_pad_type_0 = const()[name = tensor<string, []>("y_1_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> y_1_strides_0 = const()[name = tensor<string, []>("y_1_strides_0"), val = tensor<int32, [1]>([8])];
            tensor<int32, []> y_1_groups_0 = const()[name = tensor<string, []>("y_1_groups_0"), val = tensor<int32, []>(432)];
            tensor<int32, [2]> y_1_pad_0 = const()[name = tensor<string, []>("y_1_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_1_dilations_0 = const()[name = tensor<string, []>("y_1_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [3]> y_1_has_output_shape_output_shape_0 = const()[name = tensor<string, []>("y_1_has_output_shape_output_shape_0"), val = tensor<int32, [3]>([1, 432, 72])];
            tensor<fp16, [864, 1, 16]> m_decoder_up_sample_conv_layers_0_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_up_sample_conv_layers_0_weight_to_fp16"), val = tensor<fp16, [864, 1, 16]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(390912)))];
            tensor<fp16, [432]> m_decoder_up_sample_conv_layers_0_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_up_sample_conv_layers_0_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(418624)))];
            tensor<fp16, [1, 432, 72]> y_1_has_output_shape_cast_fp16 = conv_transpose(bias = m_decoder_up_sample_conv_layers_0_bias_to_fp16, dilations = y_1_dilations_0, groups = y_1_groups_0, output_shape = y_1_has_output_shape_output_shape_0, pad = y_1_pad_0, pad_type = y_1_pad_type_0, strides = y_1_strides_0, weight = m_decoder_up_sample_conv_layers_0_weight_to_fp16, x = x_7_cast_fp16)[name = tensor<string, []>("y_1_has_output_shape_cast_fp16")];
            tensor<int32, [3]> x_9_begin_0 = const()[name = tensor<string, []>("x_9_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_9_end_0 = const()[name = tensor<string, []>("x_9_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> x_9_end_mask_0 = const()[name = tensor<string, []>("x_9_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [1, 432, 64]> x_9_cast_fp16 = slice_by_index(begin = x_9_begin_0, end = x_9_end_0, end_mask = x_9_end_mask_0, x = y_1_has_output_shape_cast_fp16)[name = tensor<string, []>("x_9_cast_fp16")];
            tensor<int32, [3]> x_11_begin_0 = const()[name = tensor<string, []>("x_11_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_11_end_0 = const()[name = tensor<string, []>("x_11_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_11_end_mask_0 = const()[name = tensor<string, []>("x_11_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_11_cast_fp16 = slice_by_index(begin = x_11_begin_0, end = x_11_end_0, end_mask = x_11_end_mask_0, x = x_9_cast_fp16)[name = tensor<string, []>("x_11_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(419584)))];
            tensor<fp16, [1, 216, 64]> var_124_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_11_cast_fp16)[name = tensor<string, []>("op_124_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_5_cast_fp16 = sin(x = var_124_cast_fp16)[name = tensor<string, []>("s_5_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_128_to_fp16 = const()[name = tensor<string, []>("op_128_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(420096)))];
            tensor<fp16, [1, 216, 64]> var_131_cast_fp16 = mul(x = var_128_to_fp16, y = s_5_cast_fp16)[name = tensor<string, []>("op_131_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_132_cast_fp16 = mul(x = var_131_cast_fp16, y = s_5_cast_fp16)[name = tensor<string, []>("op_132_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_7_cast_fp16 = add(x = x_11_cast_fp16, y = var_132_cast_fp16)[name = tensor<string, []>("s_7_cast_fp16")];
            tensor<int32, [3]> input_3_begin_0 = const()[name = tensor<string, []>("input_3_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_3_end_0 = const()[name = tensor<string, []>("input_3_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_3_end_mask_0 = const()[name = tensor<string, []>("input_3_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_3_cast_fp16 = slice_by_index(begin = input_3_begin_0, end = input_3_end_0, end_mask = input_3_end_mask_0, x = x_9_cast_fp16)[name = tensor<string, []>("input_3_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_3_cast_fp16 = leaky_relu(alpha = var_25, x = input_3_cast_fp16)[name = tensor<string, []>("l_3_cast_fp16")];
            tensor<bool, []> input_5_interleave_0 = const()[name = tensor<string, []>("input_5_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_5_cast_fp16 = concat(axis = var_30, interleave = input_5_interleave_0, values = (s_7_cast_fp16, l_3_cast_fp16))[name = tensor<string, []>("input_5_cast_fp16")];
            tensor<int32, [6]> x_13_pad_0 = const()[name = tensor<string, []>("x_13_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_13_mode_0 = const()[name = tensor<string, []>("x_13_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_1_to_fp16 = const()[name = tensor<string, []>("const_1_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 66]> x_13_cast_fp16 = pad(constant_val = const_1_to_fp16, mode = x_13_mode_0, pad = x_13_pad_0, x = input_5_cast_fp16)[name = tensor<string, []>("x_13_cast_fp16")];
            tensor<string, []> x_15_pad_type_0 = const()[name = tensor<string, []>("x_15_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_15_strides_0 = const()[name = tensor<string, []>("x_15_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_15_pad_0 = const()[name = tensor<string, []>("x_15_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_15_dilations_0 = const()[name = tensor<string, []>("x_15_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_15_groups_0 = const()[name = tensor<string, []>("x_15_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 3]> m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(420608)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1540416)))];
            tensor<fp16, [1, 432, 64]> x_15_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16, dilations = x_15_dilations_0, groups = x_15_groups_0, pad = x_15_pad_0, pad_type = x_15_pad_type_0, strides = x_15_strides_0, weight = m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16, x = x_13_cast_fp16)[name = tensor<string, []>("x_15_cast_fp16")];
            tensor<int32, [3]> x_17_begin_0 = const()[name = tensor<string, []>("x_17_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_17_end_0 = const()[name = tensor<string, []>("x_17_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_17_end_mask_0 = const()[name = tensor<string, []>("x_17_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_17_cast_fp16 = slice_by_index(begin = x_17_begin_0, end = x_17_end_0, end_mask = x_17_end_mask_0, x = x_15_cast_fp16)[name = tensor<string, []>("x_17_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1541376)))];
            tensor<fp16, [1, 216, 64]> var_152_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_17_cast_fp16)[name = tensor<string, []>("op_152_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_9_cast_fp16 = sin(x = var_152_cast_fp16)[name = tensor<string, []>("s_9_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_156_to_fp16 = const()[name = tensor<string, []>("op_156_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1541888)))];
            tensor<fp16, [1, 216, 64]> var_159_cast_fp16 = mul(x = var_156_to_fp16, y = s_9_cast_fp16)[name = tensor<string, []>("op_159_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_160_cast_fp16 = mul(x = var_159_cast_fp16, y = s_9_cast_fp16)[name = tensor<string, []>("op_160_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_11_cast_fp16 = add(x = x_17_cast_fp16, y = var_160_cast_fp16)[name = tensor<string, []>("s_11_cast_fp16")];
            tensor<int32, [3]> input_7_begin_0 = const()[name = tensor<string, []>("input_7_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_7_end_0 = const()[name = tensor<string, []>("input_7_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_7_end_mask_0 = const()[name = tensor<string, []>("input_7_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_7_cast_fp16 = slice_by_index(begin = input_7_begin_0, end = input_7_end_0, end_mask = input_7_end_mask_0, x = x_15_cast_fp16)[name = tensor<string, []>("input_7_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_5_cast_fp16 = leaky_relu(alpha = var_25, x = input_7_cast_fp16)[name = tensor<string, []>("l_5_cast_fp16")];
            tensor<bool, []> input_9_interleave_0 = const()[name = tensor<string, []>("input_9_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_9_cast_fp16 = concat(axis = var_30, interleave = input_9_interleave_0, values = (s_11_cast_fp16, l_5_cast_fp16))[name = tensor<string, []>("input_9_cast_fp16")];
            tensor<int32, [6]> x_19_pad_0 = const()[name = tensor<string, []>("x_19_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_19_mode_0 = const()[name = tensor<string, []>("x_19_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_2_to_fp16 = const()[name = tensor<string, []>("const_2_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 66]> x_19_cast_fp16 = pad(constant_val = const_2_to_fp16, mode = x_19_mode_0, pad = x_19_pad_0, x = input_9_cast_fp16)[name = tensor<string, []>("x_19_cast_fp16")];
            tensor<string, []> h_1_pad_type_0 = const()[name = tensor<string, []>("h_1_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_1_strides_0 = const()[name = tensor<string, []>("h_1_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_1_pad_0 = const()[name = tensor<string, []>("h_1_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_1_dilations_0 = const()[name = tensor<string, []>("h_1_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_1_groups_0 = const()[name = tensor<string, []>("h_1_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 3]> m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1542400)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2662208)))];
            tensor<fp16, [1, 432, 64]> h_1_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_1_dilations_0, groups = h_1_groups_0, pad = h_1_pad_0, pad_type = h_1_pad_type_0, strides = h_1_strides_0, weight = m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16, x = x_19_cast_fp16)[name = tensor<string, []>("h_1_cast_fp16")];
            tensor<fp16, [1, 432, 64]> x_21_cast_fp16 = add(x = x_9_cast_fp16, y = h_1_cast_fp16)[name = tensor<string, []>("x_21_cast_fp16")];
            tensor<int32, [3]> x_23_begin_0 = const()[name = tensor<string, []>("x_23_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_23_end_0 = const()[name = tensor<string, []>("x_23_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_23_end_mask_0 = const()[name = tensor<string, []>("x_23_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_23_cast_fp16 = slice_by_index(begin = x_23_begin_0, end = x_23_end_0, end_mask = x_23_end_mask_0, x = x_21_cast_fp16)[name = tensor<string, []>("x_23_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2663168)))];
            tensor<fp16, [1, 216, 64]> var_185_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_23_cast_fp16)[name = tensor<string, []>("op_185_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_13_cast_fp16 = sin(x = var_185_cast_fp16)[name = tensor<string, []>("s_13_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_189_to_fp16 = const()[name = tensor<string, []>("op_189_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2663680)))];
            tensor<fp16, [1, 216, 64]> var_192_cast_fp16 = mul(x = var_189_to_fp16, y = s_13_cast_fp16)[name = tensor<string, []>("op_192_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_193_cast_fp16 = mul(x = var_192_cast_fp16, y = s_13_cast_fp16)[name = tensor<string, []>("op_193_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_15_cast_fp16 = add(x = x_23_cast_fp16, y = var_193_cast_fp16)[name = tensor<string, []>("s_15_cast_fp16")];
            tensor<int32, [3]> input_11_begin_0 = const()[name = tensor<string, []>("input_11_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_11_end_0 = const()[name = tensor<string, []>("input_11_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_11_end_mask_0 = const()[name = tensor<string, []>("input_11_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_11_cast_fp16 = slice_by_index(begin = input_11_begin_0, end = input_11_end_0, end_mask = input_11_end_mask_0, x = x_21_cast_fp16)[name = tensor<string, []>("input_11_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_7_cast_fp16 = leaky_relu(alpha = var_25, x = input_11_cast_fp16)[name = tensor<string, []>("l_7_cast_fp16")];
            tensor<bool, []> input_13_interleave_0 = const()[name = tensor<string, []>("input_13_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_13_cast_fp16 = concat(axis = var_30, interleave = input_13_interleave_0, values = (s_15_cast_fp16, l_7_cast_fp16))[name = tensor<string, []>("input_13_cast_fp16")];
            tensor<int32, [6]> x_25_pad_0 = const()[name = tensor<string, []>("x_25_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_25_mode_0 = const()[name = tensor<string, []>("x_25_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_3_to_fp16 = const()[name = tensor<string, []>("const_3_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 70]> x_25_cast_fp16 = pad(constant_val = const_3_to_fp16, mode = x_25_mode_0, pad = x_25_pad_0, x = input_13_cast_fp16)[name = tensor<string, []>("x_25_cast_fp16")];
            tensor<string, []> x_27_pad_type_0 = const()[name = tensor<string, []>("x_27_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_27_dilations_0 = const()[name = tensor<string, []>("x_27_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_27_strides_0 = const()[name = tensor<string, []>("x_27_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_27_pad_0 = const()[name = tensor<string, []>("x_27_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_27_groups_0 = const()[name = tensor<string, []>("x_27_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 3]> m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2664192)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3784000)))];
            tensor<fp16, [1, 432, 64]> x_27_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16, dilations = x_27_dilations_0, groups = x_27_groups_0, pad = x_27_pad_0, pad_type = x_27_pad_type_0, strides = x_27_strides_0, weight = m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16, x = x_25_cast_fp16)[name = tensor<string, []>("x_27_cast_fp16")];
            tensor<int32, [3]> x_29_begin_0 = const()[name = tensor<string, []>("x_29_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_29_end_0 = const()[name = tensor<string, []>("x_29_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_29_end_mask_0 = const()[name = tensor<string, []>("x_29_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_29_cast_fp16 = slice_by_index(begin = x_29_begin_0, end = x_29_end_0, end_mask = x_29_end_mask_0, x = x_27_cast_fp16)[name = tensor<string, []>("x_29_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3784960)))];
            tensor<fp16, [1, 216, 64]> var_213_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_29_cast_fp16)[name = tensor<string, []>("op_213_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_17_cast_fp16 = sin(x = var_213_cast_fp16)[name = tensor<string, []>("s_17_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_217_to_fp16 = const()[name = tensor<string, []>("op_217_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3785472)))];
            tensor<fp16, [1, 216, 64]> var_220_cast_fp16 = mul(x = var_217_to_fp16, y = s_17_cast_fp16)[name = tensor<string, []>("op_220_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_221_cast_fp16 = mul(x = var_220_cast_fp16, y = s_17_cast_fp16)[name = tensor<string, []>("op_221_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_19_cast_fp16 = add(x = x_29_cast_fp16, y = var_221_cast_fp16)[name = tensor<string, []>("s_19_cast_fp16")];
            tensor<int32, [3]> input_15_begin_0 = const()[name = tensor<string, []>("input_15_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_15_end_0 = const()[name = tensor<string, []>("input_15_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_15_end_mask_0 = const()[name = tensor<string, []>("input_15_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_15_cast_fp16 = slice_by_index(begin = input_15_begin_0, end = input_15_end_0, end_mask = input_15_end_mask_0, x = x_27_cast_fp16)[name = tensor<string, []>("input_15_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_9_cast_fp16 = leaky_relu(alpha = var_25, x = input_15_cast_fp16)[name = tensor<string, []>("l_9_cast_fp16")];
            tensor<bool, []> input_17_interleave_0 = const()[name = tensor<string, []>("input_17_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_17_cast_fp16 = concat(axis = var_30, interleave = input_17_interleave_0, values = (s_19_cast_fp16, l_9_cast_fp16))[name = tensor<string, []>("input_17_cast_fp16")];
            tensor<int32, [6]> x_31_pad_0 = const()[name = tensor<string, []>("x_31_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_31_mode_0 = const()[name = tensor<string, []>("x_31_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_4_to_fp16 = const()[name = tensor<string, []>("const_4_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 66]> x_31_cast_fp16 = pad(constant_val = const_4_to_fp16, mode = x_31_mode_0, pad = x_31_pad_0, x = input_17_cast_fp16)[name = tensor<string, []>("x_31_cast_fp16")];
            tensor<string, []> h_3_pad_type_0 = const()[name = tensor<string, []>("h_3_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_3_strides_0 = const()[name = tensor<string, []>("h_3_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_3_pad_0 = const()[name = tensor<string, []>("h_3_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_3_dilations_0 = const()[name = tensor<string, []>("h_3_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_3_groups_0 = const()[name = tensor<string, []>("h_3_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 3]> m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3785984)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4905792)))];
            tensor<fp16, [1, 432, 64]> h_3_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_3_dilations_0, groups = h_3_groups_0, pad = h_3_pad_0, pad_type = h_3_pad_type_0, strides = h_3_strides_0, weight = m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16, x = x_31_cast_fp16)[name = tensor<string, []>("h_3_cast_fp16")];
            tensor<fp16, [1, 432, 64]> x_33_cast_fp16 = add(x = x_21_cast_fp16, y = h_3_cast_fp16)[name = tensor<string, []>("x_33_cast_fp16")];
            tensor<int32, [3]> x_35_begin_0 = const()[name = tensor<string, []>("x_35_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_35_end_0 = const()[name = tensor<string, []>("x_35_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_35_end_mask_0 = const()[name = tensor<string, []>("x_35_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_35_cast_fp16 = slice_by_index(begin = x_35_begin_0, end = x_35_end_0, end_mask = x_35_end_mask_0, x = x_33_cast_fp16)[name = tensor<string, []>("x_35_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4906752)))];
            tensor<fp16, [1, 216, 64]> var_246_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_35_cast_fp16)[name = tensor<string, []>("op_246_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_21_cast_fp16 = sin(x = var_246_cast_fp16)[name = tensor<string, []>("s_21_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_250_to_fp16 = const()[name = tensor<string, []>("op_250_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4907264)))];
            tensor<fp16, [1, 216, 64]> var_253_cast_fp16 = mul(x = var_250_to_fp16, y = s_21_cast_fp16)[name = tensor<string, []>("op_253_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_254_cast_fp16 = mul(x = var_253_cast_fp16, y = s_21_cast_fp16)[name = tensor<string, []>("op_254_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_23_cast_fp16 = add(x = x_35_cast_fp16, y = var_254_cast_fp16)[name = tensor<string, []>("s_23_cast_fp16")];
            tensor<int32, [3]> input_19_begin_0 = const()[name = tensor<string, []>("input_19_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_19_end_0 = const()[name = tensor<string, []>("input_19_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_19_end_mask_0 = const()[name = tensor<string, []>("input_19_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_19_cast_fp16 = slice_by_index(begin = input_19_begin_0, end = input_19_end_0, end_mask = input_19_end_mask_0, x = x_33_cast_fp16)[name = tensor<string, []>("input_19_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_11_cast_fp16 = leaky_relu(alpha = var_25, x = input_19_cast_fp16)[name = tensor<string, []>("l_11_cast_fp16")];
            tensor<bool, []> input_21_interleave_0 = const()[name = tensor<string, []>("input_21_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_21_cast_fp16 = concat(axis = var_30, interleave = input_21_interleave_0, values = (s_23_cast_fp16, l_11_cast_fp16))[name = tensor<string, []>("input_21_cast_fp16")];
            tensor<int32, [6]> x_37_pad_0 = const()[name = tensor<string, []>("x_37_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_37_mode_0 = const()[name = tensor<string, []>("x_37_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_5_to_fp16 = const()[name = tensor<string, []>("const_5_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 74]> x_37_cast_fp16 = pad(constant_val = const_5_to_fp16, mode = x_37_mode_0, pad = x_37_pad_0, x = input_21_cast_fp16)[name = tensor<string, []>("x_37_cast_fp16")];
            tensor<string, []> x_39_pad_type_0 = const()[name = tensor<string, []>("x_39_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_39_dilations_0 = const()[name = tensor<string, []>("x_39_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_39_strides_0 = const()[name = tensor<string, []>("x_39_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_39_pad_0 = const()[name = tensor<string, []>("x_39_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_39_groups_0 = const()[name = tensor<string, []>("x_39_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 3]> m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4907776)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6027584)))];
            tensor<fp16, [1, 432, 64]> x_39_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16, dilations = x_39_dilations_0, groups = x_39_groups_0, pad = x_39_pad_0, pad_type = x_39_pad_type_0, strides = x_39_strides_0, weight = m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16, x = x_37_cast_fp16)[name = tensor<string, []>("x_39_cast_fp16")];
            tensor<int32, [3]> x_41_begin_0 = const()[name = tensor<string, []>("x_41_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_41_end_0 = const()[name = tensor<string, []>("x_41_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_41_end_mask_0 = const()[name = tensor<string, []>("x_41_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_41_cast_fp16 = slice_by_index(begin = x_41_begin_0, end = x_41_end_0, end_mask = x_41_end_mask_0, x = x_39_cast_fp16)[name = tensor<string, []>("x_41_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6028544)))];
            tensor<fp16, [1, 216, 64]> var_274_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_41_cast_fp16)[name = tensor<string, []>("op_274_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_25_cast_fp16 = sin(x = var_274_cast_fp16)[name = tensor<string, []>("s_25_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_278_to_fp16 = const()[name = tensor<string, []>("op_278_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6029056)))];
            tensor<fp16, [1, 216, 64]> var_281_cast_fp16 = mul(x = var_278_to_fp16, y = s_25_cast_fp16)[name = tensor<string, []>("op_281_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_282_cast_fp16 = mul(x = var_281_cast_fp16, y = s_25_cast_fp16)[name = tensor<string, []>("op_282_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_27_cast_fp16 = add(x = x_41_cast_fp16, y = var_282_cast_fp16)[name = tensor<string, []>("s_27_cast_fp16")];
            tensor<int32, [3]> input_23_begin_0 = const()[name = tensor<string, []>("input_23_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_23_end_0 = const()[name = tensor<string, []>("input_23_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_23_end_mask_0 = const()[name = tensor<string, []>("input_23_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_23_cast_fp16 = slice_by_index(begin = input_23_begin_0, end = input_23_end_0, end_mask = input_23_end_mask_0, x = x_39_cast_fp16)[name = tensor<string, []>("input_23_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_13_cast_fp16 = leaky_relu(alpha = var_25, x = input_23_cast_fp16)[name = tensor<string, []>("l_13_cast_fp16")];
            tensor<bool, []> input_25_interleave_0 = const()[name = tensor<string, []>("input_25_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_25_cast_fp16 = concat(axis = var_30, interleave = input_25_interleave_0, values = (s_27_cast_fp16, l_13_cast_fp16))[name = tensor<string, []>("input_25_cast_fp16")];
            tensor<int32, [6]> x_43_pad_0 = const()[name = tensor<string, []>("x_43_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_43_mode_0 = const()[name = tensor<string, []>("x_43_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_6_to_fp16 = const()[name = tensor<string, []>("const_6_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 66]> x_43_cast_fp16 = pad(constant_val = const_6_to_fp16, mode = x_43_mode_0, pad = x_43_pad_0, x = input_25_cast_fp16)[name = tensor<string, []>("x_43_cast_fp16")];
            tensor<string, []> h_5_pad_type_0 = const()[name = tensor<string, []>("h_5_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_5_strides_0 = const()[name = tensor<string, []>("h_5_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_5_pad_0 = const()[name = tensor<string, []>("h_5_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_5_dilations_0 = const()[name = tensor<string, []>("h_5_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_5_groups_0 = const()[name = tensor<string, []>("h_5_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 3]> m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6029568)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7149376)))];
            tensor<fp16, [1, 432, 64]> h_5_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_5_dilations_0, groups = h_5_groups_0, pad = h_5_pad_0, pad_type = h_5_pad_type_0, strides = h_5_strides_0, weight = m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16, x = x_43_cast_fp16)[name = tensor<string, []>("h_5_cast_fp16")];
            tensor<fp16, [1, 432, 64]> s_77_cast_fp16 = add(x = x_33_cast_fp16, y = h_5_cast_fp16)[name = tensor<string, []>("s_77_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7150336)))];
            tensor<fp16, [1, 216, 64]> var_313_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_11_cast_fp16)[name = tensor<string, []>("op_313_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_29_cast_fp16 = sin(x = var_313_cast_fp16)[name = tensor<string, []>("s_29_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_317_to_fp16 = const()[name = tensor<string, []>("op_317_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7150848)))];
            tensor<fp16, [1, 216, 64]> var_320_cast_fp16 = mul(x = var_317_to_fp16, y = s_29_cast_fp16)[name = tensor<string, []>("op_320_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_321_cast_fp16 = mul(x = var_320_cast_fp16, y = s_29_cast_fp16)[name = tensor<string, []>("op_321_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_31_cast_fp16 = add(x = x_11_cast_fp16, y = var_321_cast_fp16)[name = tensor<string, []>("s_31_cast_fp16")];
            tensor<bool, []> input_29_interleave_0 = const()[name = tensor<string, []>("input_29_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_29_cast_fp16 = concat(axis = var_30, interleave = input_29_interleave_0, values = (s_31_cast_fp16, l_3_cast_fp16))[name = tensor<string, []>("input_29_cast_fp16")];
            tensor<int32, [6]> x_47_pad_0 = const()[name = tensor<string, []>("x_47_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_47_mode_0 = const()[name = tensor<string, []>("x_47_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_7_to_fp16 = const()[name = tensor<string, []>("const_7_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 70]> x_47_cast_fp16 = pad(constant_val = const_7_to_fp16, mode = x_47_mode_0, pad = x_47_pad_0, x = input_29_cast_fp16)[name = tensor<string, []>("x_47_cast_fp16")];
            tensor<string, []> x_49_pad_type_0 = const()[name = tensor<string, []>("x_49_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_49_strides_0 = const()[name = tensor<string, []>("x_49_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_49_pad_0 = const()[name = tensor<string, []>("x_49_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_49_dilations_0 = const()[name = tensor<string, []>("x_49_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_49_groups_0 = const()[name = tensor<string, []>("x_49_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 7]> m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7151360)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9764160)))];
            tensor<fp16, [1, 432, 64]> x_49_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16, dilations = x_49_dilations_0, groups = x_49_groups_0, pad = x_49_pad_0, pad_type = x_49_pad_type_0, strides = x_49_strides_0, weight = m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16, x = x_47_cast_fp16)[name = tensor<string, []>("x_49_cast_fp16")];
            tensor<int32, [3]> x_51_begin_0 = const()[name = tensor<string, []>("x_51_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_51_end_0 = const()[name = tensor<string, []>("x_51_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_51_end_mask_0 = const()[name = tensor<string, []>("x_51_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_51_cast_fp16 = slice_by_index(begin = x_51_begin_0, end = x_51_end_0, end_mask = x_51_end_mask_0, x = x_49_cast_fp16)[name = tensor<string, []>("x_51_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9765120)))];
            tensor<fp16, [1, 216, 64]> var_341_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_51_cast_fp16)[name = tensor<string, []>("op_341_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_33_cast_fp16 = sin(x = var_341_cast_fp16)[name = tensor<string, []>("s_33_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_345_to_fp16 = const()[name = tensor<string, []>("op_345_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9765632)))];
            tensor<fp16, [1, 216, 64]> var_348_cast_fp16 = mul(x = var_345_to_fp16, y = s_33_cast_fp16)[name = tensor<string, []>("op_348_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_349_cast_fp16 = mul(x = var_348_cast_fp16, y = s_33_cast_fp16)[name = tensor<string, []>("op_349_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_35_cast_fp16 = add(x = x_51_cast_fp16, y = var_349_cast_fp16)[name = tensor<string, []>("s_35_cast_fp16")];
            tensor<int32, [3]> input_31_begin_0 = const()[name = tensor<string, []>("input_31_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_31_end_0 = const()[name = tensor<string, []>("input_31_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_31_end_mask_0 = const()[name = tensor<string, []>("input_31_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_31_cast_fp16 = slice_by_index(begin = input_31_begin_0, end = input_31_end_0, end_mask = input_31_end_mask_0, x = x_49_cast_fp16)[name = tensor<string, []>("input_31_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_17_cast_fp16 = leaky_relu(alpha = var_25, x = input_31_cast_fp16)[name = tensor<string, []>("l_17_cast_fp16")];
            tensor<bool, []> input_33_interleave_0 = const()[name = tensor<string, []>("input_33_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_33_cast_fp16 = concat(axis = var_30, interleave = input_33_interleave_0, values = (s_35_cast_fp16, l_17_cast_fp16))[name = tensor<string, []>("input_33_cast_fp16")];
            tensor<int32, [6]> x_53_pad_0 = const()[name = tensor<string, []>("x_53_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_53_mode_0 = const()[name = tensor<string, []>("x_53_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_8_to_fp16 = const()[name = tensor<string, []>("const_8_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 70]> x_53_cast_fp16 = pad(constant_val = const_8_to_fp16, mode = x_53_mode_0, pad = x_53_pad_0, x = input_33_cast_fp16)[name = tensor<string, []>("x_53_cast_fp16")];
            tensor<string, []> h_7_pad_type_0 = const()[name = tensor<string, []>("h_7_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_7_strides_0 = const()[name = tensor<string, []>("h_7_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_7_pad_0 = const()[name = tensor<string, []>("h_7_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_7_dilations_0 = const()[name = tensor<string, []>("h_7_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_7_groups_0 = const()[name = tensor<string, []>("h_7_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 7]> m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9766144)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(12378944)))];
            tensor<fp16, [1, 432, 64]> h_7_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_7_dilations_0, groups = h_7_groups_0, pad = h_7_pad_0, pad_type = h_7_pad_type_0, strides = h_7_strides_0, weight = m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16, x = x_53_cast_fp16)[name = tensor<string, []>("h_7_cast_fp16")];
            tensor<fp16, [1, 432, 64]> x_55_cast_fp16 = add(x = x_9_cast_fp16, y = h_7_cast_fp16)[name = tensor<string, []>("x_55_cast_fp16")];
            tensor<int32, [3]> x_57_begin_0 = const()[name = tensor<string, []>("x_57_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_57_end_0 = const()[name = tensor<string, []>("x_57_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_57_end_mask_0 = const()[name = tensor<string, []>("x_57_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_57_cast_fp16 = slice_by_index(begin = x_57_begin_0, end = x_57_end_0, end_mask = x_57_end_mask_0, x = x_55_cast_fp16)[name = tensor<string, []>("x_57_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(12379904)))];
            tensor<fp16, [1, 216, 64]> var_374_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_57_cast_fp16)[name = tensor<string, []>("op_374_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_37_cast_fp16 = sin(x = var_374_cast_fp16)[name = tensor<string, []>("s_37_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_378_to_fp16 = const()[name = tensor<string, []>("op_378_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(12380416)))];
            tensor<fp16, [1, 216, 64]> var_381_cast_fp16 = mul(x = var_378_to_fp16, y = s_37_cast_fp16)[name = tensor<string, []>("op_381_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_382_cast_fp16 = mul(x = var_381_cast_fp16, y = s_37_cast_fp16)[name = tensor<string, []>("op_382_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_39_cast_fp16 = add(x = x_57_cast_fp16, y = var_382_cast_fp16)[name = tensor<string, []>("s_39_cast_fp16")];
            tensor<int32, [3]> input_35_begin_0 = const()[name = tensor<string, []>("input_35_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_35_end_0 = const()[name = tensor<string, []>("input_35_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_35_end_mask_0 = const()[name = tensor<string, []>("input_35_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_35_cast_fp16 = slice_by_index(begin = input_35_begin_0, end = input_35_end_0, end_mask = input_35_end_mask_0, x = x_55_cast_fp16)[name = tensor<string, []>("input_35_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_19_cast_fp16 = leaky_relu(alpha = var_25, x = input_35_cast_fp16)[name = tensor<string, []>("l_19_cast_fp16")];
            tensor<bool, []> input_37_interleave_0 = const()[name = tensor<string, []>("input_37_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_37_cast_fp16 = concat(axis = var_30, interleave = input_37_interleave_0, values = (s_39_cast_fp16, l_19_cast_fp16))[name = tensor<string, []>("input_37_cast_fp16")];
            tensor<int32, [6]> x_59_pad_0 = const()[name = tensor<string, []>("x_59_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 18, 0])];
            tensor<string, []> x_59_mode_0 = const()[name = tensor<string, []>("x_59_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_9_to_fp16 = const()[name = tensor<string, []>("const_9_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 82]> x_59_cast_fp16 = pad(constant_val = const_9_to_fp16, mode = x_59_mode_0, pad = x_59_pad_0, x = input_37_cast_fp16)[name = tensor<string, []>("x_59_cast_fp16")];
            tensor<string, []> x_61_pad_type_0 = const()[name = tensor<string, []>("x_61_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_61_dilations_0 = const()[name = tensor<string, []>("x_61_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_61_strides_0 = const()[name = tensor<string, []>("x_61_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_61_pad_0 = const()[name = tensor<string, []>("x_61_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_61_groups_0 = const()[name = tensor<string, []>("x_61_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 7]> m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(12380928)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(14993728)))];
            tensor<fp16, [1, 432, 64]> x_61_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16, dilations = x_61_dilations_0, groups = x_61_groups_0, pad = x_61_pad_0, pad_type = x_61_pad_type_0, strides = x_61_strides_0, weight = m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16, x = x_59_cast_fp16)[name = tensor<string, []>("x_61_cast_fp16")];
            tensor<int32, [3]> x_63_begin_0 = const()[name = tensor<string, []>("x_63_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_63_end_0 = const()[name = tensor<string, []>("x_63_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_63_end_mask_0 = const()[name = tensor<string, []>("x_63_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_63_cast_fp16 = slice_by_index(begin = x_63_begin_0, end = x_63_end_0, end_mask = x_63_end_mask_0, x = x_61_cast_fp16)[name = tensor<string, []>("x_63_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(14994688)))];
            tensor<fp16, [1, 216, 64]> var_402_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_63_cast_fp16)[name = tensor<string, []>("op_402_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_41_cast_fp16 = sin(x = var_402_cast_fp16)[name = tensor<string, []>("s_41_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_406_to_fp16 = const()[name = tensor<string, []>("op_406_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(14995200)))];
            tensor<fp16, [1, 216, 64]> var_409_cast_fp16 = mul(x = var_406_to_fp16, y = s_41_cast_fp16)[name = tensor<string, []>("op_409_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_410_cast_fp16 = mul(x = var_409_cast_fp16, y = s_41_cast_fp16)[name = tensor<string, []>("op_410_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_43_cast_fp16 = add(x = x_63_cast_fp16, y = var_410_cast_fp16)[name = tensor<string, []>("s_43_cast_fp16")];
            tensor<int32, [3]> input_39_begin_0 = const()[name = tensor<string, []>("input_39_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_39_end_0 = const()[name = tensor<string, []>("input_39_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_39_end_mask_0 = const()[name = tensor<string, []>("input_39_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_39_cast_fp16 = slice_by_index(begin = input_39_begin_0, end = input_39_end_0, end_mask = input_39_end_mask_0, x = x_61_cast_fp16)[name = tensor<string, []>("input_39_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_21_cast_fp16 = leaky_relu(alpha = var_25, x = input_39_cast_fp16)[name = tensor<string, []>("l_21_cast_fp16")];
            tensor<bool, []> input_41_interleave_0 = const()[name = tensor<string, []>("input_41_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_41_cast_fp16 = concat(axis = var_30, interleave = input_41_interleave_0, values = (s_43_cast_fp16, l_21_cast_fp16))[name = tensor<string, []>("input_41_cast_fp16")];
            tensor<int32, [6]> x_65_pad_0 = const()[name = tensor<string, []>("x_65_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_65_mode_0 = const()[name = tensor<string, []>("x_65_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_10_to_fp16 = const()[name = tensor<string, []>("const_10_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 70]> x_65_cast_fp16 = pad(constant_val = const_10_to_fp16, mode = x_65_mode_0, pad = x_65_pad_0, x = input_41_cast_fp16)[name = tensor<string, []>("x_65_cast_fp16")];
            tensor<string, []> h_9_pad_type_0 = const()[name = tensor<string, []>("h_9_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_9_strides_0 = const()[name = tensor<string, []>("h_9_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_9_pad_0 = const()[name = tensor<string, []>("h_9_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_9_dilations_0 = const()[name = tensor<string, []>("h_9_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_9_groups_0 = const()[name = tensor<string, []>("h_9_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 7]> m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(14995712)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(17608512)))];
            tensor<fp16, [1, 432, 64]> h_9_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_9_dilations_0, groups = h_9_groups_0, pad = h_9_pad_0, pad_type = h_9_pad_type_0, strides = h_9_strides_0, weight = m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16, x = x_65_cast_fp16)[name = tensor<string, []>("h_9_cast_fp16")];
            tensor<fp16, [1, 432, 64]> x_67_cast_fp16 = add(x = x_55_cast_fp16, y = h_9_cast_fp16)[name = tensor<string, []>("x_67_cast_fp16")];
            tensor<int32, [3]> x_69_begin_0 = const()[name = tensor<string, []>("x_69_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_69_end_0 = const()[name = tensor<string, []>("x_69_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_69_end_mask_0 = const()[name = tensor<string, []>("x_69_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_69_cast_fp16 = slice_by_index(begin = x_69_begin_0, end = x_69_end_0, end_mask = x_69_end_mask_0, x = x_67_cast_fp16)[name = tensor<string, []>("x_69_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(17609472)))];
            tensor<fp16, [1, 216, 64]> var_435_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_69_cast_fp16)[name = tensor<string, []>("op_435_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_45_cast_fp16 = sin(x = var_435_cast_fp16)[name = tensor<string, []>("s_45_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_439_to_fp16 = const()[name = tensor<string, []>("op_439_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(17609984)))];
            tensor<fp16, [1, 216, 64]> var_442_cast_fp16 = mul(x = var_439_to_fp16, y = s_45_cast_fp16)[name = tensor<string, []>("op_442_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_443_cast_fp16 = mul(x = var_442_cast_fp16, y = s_45_cast_fp16)[name = tensor<string, []>("op_443_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_47_cast_fp16 = add(x = x_69_cast_fp16, y = var_443_cast_fp16)[name = tensor<string, []>("s_47_cast_fp16")];
            tensor<int32, [3]> input_43_begin_0 = const()[name = tensor<string, []>("input_43_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_43_end_0 = const()[name = tensor<string, []>("input_43_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_43_end_mask_0 = const()[name = tensor<string, []>("input_43_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_43_cast_fp16 = slice_by_index(begin = input_43_begin_0, end = input_43_end_0, end_mask = input_43_end_mask_0, x = x_67_cast_fp16)[name = tensor<string, []>("input_43_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_23_cast_fp16 = leaky_relu(alpha = var_25, x = input_43_cast_fp16)[name = tensor<string, []>("l_23_cast_fp16")];
            tensor<bool, []> input_45_interleave_0 = const()[name = tensor<string, []>("input_45_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_45_cast_fp16 = concat(axis = var_30, interleave = input_45_interleave_0, values = (s_47_cast_fp16, l_23_cast_fp16))[name = tensor<string, []>("input_45_cast_fp16")];
            tensor<int32, [6]> x_71_pad_0 = const()[name = tensor<string, []>("x_71_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 30, 0])];
            tensor<string, []> x_71_mode_0 = const()[name = tensor<string, []>("x_71_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_11_to_fp16 = const()[name = tensor<string, []>("const_11_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 94]> x_71_cast_fp16 = pad(constant_val = const_11_to_fp16, mode = x_71_mode_0, pad = x_71_pad_0, x = input_45_cast_fp16)[name = tensor<string, []>("x_71_cast_fp16")];
            tensor<string, []> x_73_pad_type_0 = const()[name = tensor<string, []>("x_73_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_73_dilations_0 = const()[name = tensor<string, []>("x_73_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_73_strides_0 = const()[name = tensor<string, []>("x_73_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_73_pad_0 = const()[name = tensor<string, []>("x_73_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_73_groups_0 = const()[name = tensor<string, []>("x_73_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 7]> m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(17610496)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(20223296)))];
            tensor<fp16, [1, 432, 64]> x_73_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16, dilations = x_73_dilations_0, groups = x_73_groups_0, pad = x_73_pad_0, pad_type = x_73_pad_type_0, strides = x_73_strides_0, weight = m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16, x = x_71_cast_fp16)[name = tensor<string, []>("x_73_cast_fp16")];
            tensor<int32, [3]> x_75_begin_0 = const()[name = tensor<string, []>("x_75_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_75_end_0 = const()[name = tensor<string, []>("x_75_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_75_end_mask_0 = const()[name = tensor<string, []>("x_75_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_75_cast_fp16 = slice_by_index(begin = x_75_begin_0, end = x_75_end_0, end_mask = x_75_end_mask_0, x = x_73_cast_fp16)[name = tensor<string, []>("x_75_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(20224256)))];
            tensor<fp16, [1, 216, 64]> var_463_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_75_cast_fp16)[name = tensor<string, []>("op_463_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_49_cast_fp16 = sin(x = var_463_cast_fp16)[name = tensor<string, []>("s_49_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_467_to_fp16 = const()[name = tensor<string, []>("op_467_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(20224768)))];
            tensor<fp16, [1, 216, 64]> var_470_cast_fp16 = mul(x = var_467_to_fp16, y = s_49_cast_fp16)[name = tensor<string, []>("op_470_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_471_cast_fp16 = mul(x = var_470_cast_fp16, y = s_49_cast_fp16)[name = tensor<string, []>("op_471_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_51_cast_fp16 = add(x = x_75_cast_fp16, y = var_471_cast_fp16)[name = tensor<string, []>("s_51_cast_fp16")];
            tensor<int32, [3]> input_47_begin_0 = const()[name = tensor<string, []>("input_47_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_47_end_0 = const()[name = tensor<string, []>("input_47_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_47_end_mask_0 = const()[name = tensor<string, []>("input_47_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_47_cast_fp16 = slice_by_index(begin = input_47_begin_0, end = input_47_end_0, end_mask = input_47_end_mask_0, x = x_73_cast_fp16)[name = tensor<string, []>("input_47_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_25_cast_fp16 = leaky_relu(alpha = var_25, x = input_47_cast_fp16)[name = tensor<string, []>("l_25_cast_fp16")];
            tensor<bool, []> input_49_interleave_0 = const()[name = tensor<string, []>("input_49_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_49_cast_fp16 = concat(axis = var_30, interleave = input_49_interleave_0, values = (s_51_cast_fp16, l_25_cast_fp16))[name = tensor<string, []>("input_49_cast_fp16")];
            tensor<int32, [6]> x_77_pad_0 = const()[name = tensor<string, []>("x_77_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_77_mode_0 = const()[name = tensor<string, []>("x_77_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_12_to_fp16 = const()[name = tensor<string, []>("const_12_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 70]> x_77_cast_fp16 = pad(constant_val = const_12_to_fp16, mode = x_77_mode_0, pad = x_77_pad_0, x = input_49_cast_fp16)[name = tensor<string, []>("x_77_cast_fp16")];
            tensor<string, []> h_11_pad_type_0 = const()[name = tensor<string, []>("h_11_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_11_strides_0 = const()[name = tensor<string, []>("h_11_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_11_pad_0 = const()[name = tensor<string, []>("h_11_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_11_dilations_0 = const()[name = tensor<string, []>("h_11_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_11_groups_0 = const()[name = tensor<string, []>("h_11_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 7]> m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(20225280)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(22838080)))];
            tensor<fp16, [1, 432, 64]> h_11_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_11_dilations_0, groups = h_11_groups_0, pad = h_11_pad_0, pad_type = h_11_pad_type_0, strides = h_11_strides_0, weight = m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16, x = x_77_cast_fp16)[name = tensor<string, []>("h_11_cast_fp16")];
            tensor<fp16, [1, 432, 64]> o_1_cast_fp16 = add(x = x_67_cast_fp16, y = h_11_cast_fp16)[name = tensor<string, []>("o_1_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(22839040)))];
            tensor<fp16, [1, 216, 64]> var_502_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_11_cast_fp16)[name = tensor<string, []>("op_502_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_53_cast_fp16 = sin(x = var_502_cast_fp16)[name = tensor<string, []>("s_53_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_506_to_fp16 = const()[name = tensor<string, []>("op_506_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(22839552)))];
            tensor<fp16, [1, 216, 64]> var_509_cast_fp16 = mul(x = var_506_to_fp16, y = s_53_cast_fp16)[name = tensor<string, []>("op_509_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_510_cast_fp16 = mul(x = var_509_cast_fp16, y = s_53_cast_fp16)[name = tensor<string, []>("op_510_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_55_cast_fp16 = add(x = x_11_cast_fp16, y = var_510_cast_fp16)[name = tensor<string, []>("s_55_cast_fp16")];
            tensor<bool, []> input_53_interleave_0 = const()[name = tensor<string, []>("input_53_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_53_cast_fp16 = concat(axis = var_30, interleave = input_53_interleave_0, values = (s_55_cast_fp16, l_3_cast_fp16))[name = tensor<string, []>("input_53_cast_fp16")];
            tensor<int32, [6]> x_81_pad_0 = const()[name = tensor<string, []>("x_81_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_81_mode_0 = const()[name = tensor<string, []>("x_81_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_13_to_fp16 = const()[name = tensor<string, []>("const_13_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 74]> x_81_cast_fp16 = pad(constant_val = const_13_to_fp16, mode = x_81_mode_0, pad = x_81_pad_0, x = input_53_cast_fp16)[name = tensor<string, []>("x_81_cast_fp16")];
            tensor<string, []> x_83_pad_type_0 = const()[name = tensor<string, []>("x_83_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_83_strides_0 = const()[name = tensor<string, []>("x_83_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_83_pad_0 = const()[name = tensor<string, []>("x_83_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_83_dilations_0 = const()[name = tensor<string, []>("x_83_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_83_groups_0 = const()[name = tensor<string, []>("x_83_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 11]> m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(22840064)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(26945856)))];
            tensor<fp16, [1, 432, 64]> x_83_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16, dilations = x_83_dilations_0, groups = x_83_groups_0, pad = x_83_pad_0, pad_type = x_83_pad_type_0, strides = x_83_strides_0, weight = m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16, x = x_81_cast_fp16)[name = tensor<string, []>("x_83_cast_fp16")];
            tensor<int32, [3]> x_85_begin_0 = const()[name = tensor<string, []>("x_85_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_85_end_0 = const()[name = tensor<string, []>("x_85_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_85_end_mask_0 = const()[name = tensor<string, []>("x_85_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_85_cast_fp16 = slice_by_index(begin = x_85_begin_0, end = x_85_end_0, end_mask = x_85_end_mask_0, x = x_83_cast_fp16)[name = tensor<string, []>("x_85_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(26946816)))];
            tensor<fp16, [1, 216, 64]> var_530_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_85_cast_fp16)[name = tensor<string, []>("op_530_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_57_cast_fp16 = sin(x = var_530_cast_fp16)[name = tensor<string, []>("s_57_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_534_to_fp16 = const()[name = tensor<string, []>("op_534_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(26947328)))];
            tensor<fp16, [1, 216, 64]> var_537_cast_fp16 = mul(x = var_534_to_fp16, y = s_57_cast_fp16)[name = tensor<string, []>("op_537_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_538_cast_fp16 = mul(x = var_537_cast_fp16, y = s_57_cast_fp16)[name = tensor<string, []>("op_538_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_59_cast_fp16 = add(x = x_85_cast_fp16, y = var_538_cast_fp16)[name = tensor<string, []>("s_59_cast_fp16")];
            tensor<int32, [3]> input_55_begin_0 = const()[name = tensor<string, []>("input_55_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_55_end_0 = const()[name = tensor<string, []>("input_55_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_55_end_mask_0 = const()[name = tensor<string, []>("input_55_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_55_cast_fp16 = slice_by_index(begin = input_55_begin_0, end = input_55_end_0, end_mask = input_55_end_mask_0, x = x_83_cast_fp16)[name = tensor<string, []>("input_55_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_29_cast_fp16 = leaky_relu(alpha = var_25, x = input_55_cast_fp16)[name = tensor<string, []>("l_29_cast_fp16")];
            tensor<bool, []> input_57_interleave_0 = const()[name = tensor<string, []>("input_57_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_57_cast_fp16 = concat(axis = var_30, interleave = input_57_interleave_0, values = (s_59_cast_fp16, l_29_cast_fp16))[name = tensor<string, []>("input_57_cast_fp16")];
            tensor<int32, [6]> x_87_pad_0 = const()[name = tensor<string, []>("x_87_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_87_mode_0 = const()[name = tensor<string, []>("x_87_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_14_to_fp16 = const()[name = tensor<string, []>("const_14_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 74]> x_87_cast_fp16 = pad(constant_val = const_14_to_fp16, mode = x_87_mode_0, pad = x_87_pad_0, x = input_57_cast_fp16)[name = tensor<string, []>("x_87_cast_fp16")];
            tensor<string, []> h_13_pad_type_0 = const()[name = tensor<string, []>("h_13_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_13_strides_0 = const()[name = tensor<string, []>("h_13_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_13_pad_0 = const()[name = tensor<string, []>("h_13_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_13_dilations_0 = const()[name = tensor<string, []>("h_13_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_13_groups_0 = const()[name = tensor<string, []>("h_13_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 11]> m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(26947840)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(31053632)))];
            tensor<fp16, [1, 432, 64]> h_13_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_13_dilations_0, groups = h_13_groups_0, pad = h_13_pad_0, pad_type = h_13_pad_type_0, strides = h_13_strides_0, weight = m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16, x = x_87_cast_fp16)[name = tensor<string, []>("h_13_cast_fp16")];
            tensor<fp16, [1, 432, 64]> x_89_cast_fp16 = add(x = x_9_cast_fp16, y = h_13_cast_fp16)[name = tensor<string, []>("x_89_cast_fp16")];
            tensor<int32, [3]> x_91_begin_0 = const()[name = tensor<string, []>("x_91_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_91_end_0 = const()[name = tensor<string, []>("x_91_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_91_end_mask_0 = const()[name = tensor<string, []>("x_91_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_91_cast_fp16 = slice_by_index(begin = x_91_begin_0, end = x_91_end_0, end_mask = x_91_end_mask_0, x = x_89_cast_fp16)[name = tensor<string, []>("x_91_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(31054592)))];
            tensor<fp16, [1, 216, 64]> var_563_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_91_cast_fp16)[name = tensor<string, []>("op_563_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_61_cast_fp16 = sin(x = var_563_cast_fp16)[name = tensor<string, []>("s_61_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_567_to_fp16 = const()[name = tensor<string, []>("op_567_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(31055104)))];
            tensor<fp16, [1, 216, 64]> var_570_cast_fp16 = mul(x = var_567_to_fp16, y = s_61_cast_fp16)[name = tensor<string, []>("op_570_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_571_cast_fp16 = mul(x = var_570_cast_fp16, y = s_61_cast_fp16)[name = tensor<string, []>("op_571_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_63_cast_fp16 = add(x = x_91_cast_fp16, y = var_571_cast_fp16)[name = tensor<string, []>("s_63_cast_fp16")];
            tensor<int32, [3]> input_59_begin_0 = const()[name = tensor<string, []>("input_59_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_59_end_0 = const()[name = tensor<string, []>("input_59_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_59_end_mask_0 = const()[name = tensor<string, []>("input_59_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_59_cast_fp16 = slice_by_index(begin = input_59_begin_0, end = input_59_end_0, end_mask = input_59_end_mask_0, x = x_89_cast_fp16)[name = tensor<string, []>("input_59_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_31_cast_fp16 = leaky_relu(alpha = var_25, x = input_59_cast_fp16)[name = tensor<string, []>("l_31_cast_fp16")];
            tensor<bool, []> input_61_interleave_0 = const()[name = tensor<string, []>("input_61_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_61_cast_fp16 = concat(axis = var_30, interleave = input_61_interleave_0, values = (s_63_cast_fp16, l_31_cast_fp16))[name = tensor<string, []>("input_61_cast_fp16")];
            tensor<int32, [6]> x_93_pad_0 = const()[name = tensor<string, []>("x_93_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 30, 0])];
            tensor<string, []> x_93_mode_0 = const()[name = tensor<string, []>("x_93_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_15_to_fp16 = const()[name = tensor<string, []>("const_15_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 94]> x_93_cast_fp16 = pad(constant_val = const_15_to_fp16, mode = x_93_mode_0, pad = x_93_pad_0, x = input_61_cast_fp16)[name = tensor<string, []>("x_93_cast_fp16")];
            tensor<string, []> x_95_pad_type_0 = const()[name = tensor<string, []>("x_95_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_95_dilations_0 = const()[name = tensor<string, []>("x_95_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_95_strides_0 = const()[name = tensor<string, []>("x_95_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_95_pad_0 = const()[name = tensor<string, []>("x_95_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_95_groups_0 = const()[name = tensor<string, []>("x_95_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 11]> m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(31055616)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(35161408)))];
            tensor<fp16, [1, 432, 64]> x_95_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16, dilations = x_95_dilations_0, groups = x_95_groups_0, pad = x_95_pad_0, pad_type = x_95_pad_type_0, strides = x_95_strides_0, weight = m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16, x = x_93_cast_fp16)[name = tensor<string, []>("x_95_cast_fp16")];
            tensor<int32, [3]> x_97_begin_0 = const()[name = tensor<string, []>("x_97_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_97_end_0 = const()[name = tensor<string, []>("x_97_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_97_end_mask_0 = const()[name = tensor<string, []>("x_97_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_97_cast_fp16 = slice_by_index(begin = x_97_begin_0, end = x_97_end_0, end_mask = x_97_end_mask_0, x = x_95_cast_fp16)[name = tensor<string, []>("x_97_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(35162368)))];
            tensor<fp16, [1, 216, 64]> var_591_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_97_cast_fp16)[name = tensor<string, []>("op_591_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_65_cast_fp16 = sin(x = var_591_cast_fp16)[name = tensor<string, []>("s_65_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_595_to_fp16 = const()[name = tensor<string, []>("op_595_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(35162880)))];
            tensor<fp16, [1, 216, 64]> var_598_cast_fp16 = mul(x = var_595_to_fp16, y = s_65_cast_fp16)[name = tensor<string, []>("op_598_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_599_cast_fp16 = mul(x = var_598_cast_fp16, y = s_65_cast_fp16)[name = tensor<string, []>("op_599_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_67_cast_fp16 = add(x = x_97_cast_fp16, y = var_599_cast_fp16)[name = tensor<string, []>("s_67_cast_fp16")];
            tensor<int32, [3]> input_63_begin_0 = const()[name = tensor<string, []>("input_63_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_63_end_0 = const()[name = tensor<string, []>("input_63_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_63_end_mask_0 = const()[name = tensor<string, []>("input_63_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_63_cast_fp16 = slice_by_index(begin = input_63_begin_0, end = input_63_end_0, end_mask = input_63_end_mask_0, x = x_95_cast_fp16)[name = tensor<string, []>("input_63_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_33_cast_fp16 = leaky_relu(alpha = var_25, x = input_63_cast_fp16)[name = tensor<string, []>("l_33_cast_fp16")];
            tensor<bool, []> input_65_interleave_0 = const()[name = tensor<string, []>("input_65_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_65_cast_fp16 = concat(axis = var_30, interleave = input_65_interleave_0, values = (s_67_cast_fp16, l_33_cast_fp16))[name = tensor<string, []>("input_65_cast_fp16")];
            tensor<int32, [6]> x_99_pad_0 = const()[name = tensor<string, []>("x_99_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_99_mode_0 = const()[name = tensor<string, []>("x_99_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_16_to_fp16 = const()[name = tensor<string, []>("const_16_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 74]> x_99_cast_fp16 = pad(constant_val = const_16_to_fp16, mode = x_99_mode_0, pad = x_99_pad_0, x = input_65_cast_fp16)[name = tensor<string, []>("x_99_cast_fp16")];
            tensor<string, []> h_15_pad_type_0 = const()[name = tensor<string, []>("h_15_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_15_strides_0 = const()[name = tensor<string, []>("h_15_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_15_pad_0 = const()[name = tensor<string, []>("h_15_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_15_dilations_0 = const()[name = tensor<string, []>("h_15_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_15_groups_0 = const()[name = tensor<string, []>("h_15_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 11]> m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(35163392)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(39269184)))];
            tensor<fp16, [1, 432, 64]> h_15_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_15_dilations_0, groups = h_15_groups_0, pad = h_15_pad_0, pad_type = h_15_pad_type_0, strides = h_15_strides_0, weight = m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16, x = x_99_cast_fp16)[name = tensor<string, []>("h_15_cast_fp16")];
            tensor<fp16, [1, 432, 64]> x_101_cast_fp16 = add(x = x_89_cast_fp16, y = h_15_cast_fp16)[name = tensor<string, []>("x_101_cast_fp16")];
            tensor<int32, [3]> x_103_begin_0 = const()[name = tensor<string, []>("x_103_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_103_end_0 = const()[name = tensor<string, []>("x_103_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_103_end_mask_0 = const()[name = tensor<string, []>("x_103_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_103_cast_fp16 = slice_by_index(begin = x_103_begin_0, end = x_103_end_0, end_mask = x_103_end_mask_0, x = x_101_cast_fp16)[name = tensor<string, []>("x_103_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(39270144)))];
            tensor<fp16, [1, 216, 64]> var_624_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_103_cast_fp16)[name = tensor<string, []>("op_624_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_69_cast_fp16 = sin(x = var_624_cast_fp16)[name = tensor<string, []>("s_69_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_628_to_fp16 = const()[name = tensor<string, []>("op_628_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(39270656)))];
            tensor<fp16, [1, 216, 64]> var_631_cast_fp16 = mul(x = var_628_to_fp16, y = s_69_cast_fp16)[name = tensor<string, []>("op_631_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_632_cast_fp16 = mul(x = var_631_cast_fp16, y = s_69_cast_fp16)[name = tensor<string, []>("op_632_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_71_cast_fp16 = add(x = x_103_cast_fp16, y = var_632_cast_fp16)[name = tensor<string, []>("s_71_cast_fp16")];
            tensor<int32, [3]> input_67_begin_0 = const()[name = tensor<string, []>("input_67_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_67_end_0 = const()[name = tensor<string, []>("input_67_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_67_end_mask_0 = const()[name = tensor<string, []>("input_67_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_67_cast_fp16 = slice_by_index(begin = input_67_begin_0, end = input_67_end_0, end_mask = input_67_end_mask_0, x = x_101_cast_fp16)[name = tensor<string, []>("input_67_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_35_cast_fp16 = leaky_relu(alpha = var_25, x = input_67_cast_fp16)[name = tensor<string, []>("l_35_cast_fp16")];
            tensor<bool, []> input_69_interleave_0 = const()[name = tensor<string, []>("input_69_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_69_cast_fp16 = concat(axis = var_30, interleave = input_69_interleave_0, values = (s_71_cast_fp16, l_35_cast_fp16))[name = tensor<string, []>("input_69_cast_fp16")];
            tensor<int32, [6]> x_105_pad_0 = const()[name = tensor<string, []>("x_105_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 50, 0])];
            tensor<string, []> x_105_mode_0 = const()[name = tensor<string, []>("x_105_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_17_to_fp16 = const()[name = tensor<string, []>("const_17_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 114]> x_105_cast_fp16 = pad(constant_val = const_17_to_fp16, mode = x_105_mode_0, pad = x_105_pad_0, x = input_69_cast_fp16)[name = tensor<string, []>("x_105_cast_fp16")];
            tensor<string, []> x_107_pad_type_0 = const()[name = tensor<string, []>("x_107_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_107_dilations_0 = const()[name = tensor<string, []>("x_107_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_107_strides_0 = const()[name = tensor<string, []>("x_107_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_107_pad_0 = const()[name = tensor<string, []>("x_107_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_107_groups_0 = const()[name = tensor<string, []>("x_107_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 11]> m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(39271168)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(43376960)))];
            tensor<fp16, [1, 432, 64]> x_107_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16, dilations = x_107_dilations_0, groups = x_107_groups_0, pad = x_107_pad_0, pad_type = x_107_pad_type_0, strides = x_107_strides_0, weight = m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16, x = x_105_cast_fp16)[name = tensor<string, []>("x_107_cast_fp16")];
            tensor<int32, [3]> x_109_begin_0 = const()[name = tensor<string, []>("x_109_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_109_end_0 = const()[name = tensor<string, []>("x_109_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_109_end_mask_0 = const()[name = tensor<string, []>("x_109_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_109_cast_fp16 = slice_by_index(begin = x_109_begin_0, end = x_109_end_0, end_mask = x_109_end_mask_0, x = x_107_cast_fp16)[name = tensor<string, []>("x_109_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(43377920)))];
            tensor<fp16, [1, 216, 64]> var_652_cast_fp16 = mul(x = m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_109_cast_fp16)[name = tensor<string, []>("op_652_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_73_cast_fp16 = sin(x = var_652_cast_fp16)[name = tensor<string, []>("s_73_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_656_to_fp16 = const()[name = tensor<string, []>("op_656_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(43378432)))];
            tensor<fp16, [1, 216, 64]> var_659_cast_fp16 = mul(x = var_656_to_fp16, y = s_73_cast_fp16)[name = tensor<string, []>("op_659_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_660_cast_fp16 = mul(x = var_659_cast_fp16, y = s_73_cast_fp16)[name = tensor<string, []>("op_660_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_75_cast_fp16 = add(x = x_109_cast_fp16, y = var_660_cast_fp16)[name = tensor<string, []>("s_75_cast_fp16")];
            tensor<int32, [3]> input_71_begin_0 = const()[name = tensor<string, []>("input_71_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_71_end_0 = const()[name = tensor<string, []>("input_71_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_71_end_mask_0 = const()[name = tensor<string, []>("input_71_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_71_cast_fp16 = slice_by_index(begin = input_71_begin_0, end = input_71_end_0, end_mask = input_71_end_mask_0, x = x_107_cast_fp16)[name = tensor<string, []>("input_71_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_37_cast_fp16 = leaky_relu(alpha = var_25, x = input_71_cast_fp16)[name = tensor<string, []>("l_37_cast_fp16")];
            tensor<bool, []> input_73_interleave_0 = const()[name = tensor<string, []>("input_73_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> input_73_cast_fp16 = concat(axis = var_30, interleave = input_73_interleave_0, values = (s_75_cast_fp16, l_37_cast_fp16))[name = tensor<string, []>("input_73_cast_fp16")];
            tensor<int32, [6]> x_111_pad_0 = const()[name = tensor<string, []>("x_111_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_111_mode_0 = const()[name = tensor<string, []>("x_111_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_18_to_fp16 = const()[name = tensor<string, []>("const_18_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 432, 74]> x_111_cast_fp16 = pad(constant_val = const_18_to_fp16, mode = x_111_mode_0, pad = x_111_pad_0, x = input_73_cast_fp16)[name = tensor<string, []>("x_111_cast_fp16")];
            tensor<string, []> h_17_pad_type_0 = const()[name = tensor<string, []>("h_17_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_17_strides_0 = const()[name = tensor<string, []>("h_17_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_17_pad_0 = const()[name = tensor<string, []>("h_17_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_17_dilations_0 = const()[name = tensor<string, []>("h_17_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_17_groups_0 = const()[name = tensor<string, []>("h_17_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [432, 432, 11]> m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [432, 432, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(43378944)))];
            tensor<fp16, [432]> m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47484736)))];
            tensor<fp16, [1, 432, 64]> h_17_cast_fp16 = conv(bias = m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_17_dilations_0, groups = h_17_groups_0, pad = h_17_pad_0, pad_type = h_17_pad_type_0, strides = h_17_strides_0, weight = m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16, x = x_111_cast_fp16)[name = tensor<string, []>("h_17_cast_fp16")];
            tensor<fp16, [1, 432, 64]> o_3_cast_fp16 = add(x = x_101_cast_fp16, y = h_17_cast_fp16)[name = tensor<string, []>("o_3_cast_fp16")];
            tensor<fp16, [1, 432, 64]> s_79_cast_fp16 = add(x = s_77_cast_fp16, y = o_1_cast_fp16)[name = tensor<string, []>("s_79_cast_fp16")];
            tensor<fp16, [1, 432, 64]> s_81_cast_fp16 = add(x = s_79_cast_fp16, y = o_3_cast_fp16)[name = tensor<string, []>("s_81_cast_fp16")];
            tensor<fp16, []> _inversed_x_113_y_0_to_fp16 = const()[name = tensor<string, []>("_inversed_x_113_y_0_to_fp16"), val = tensor<fp16, []>(0x1.554p-2)];
            tensor<fp16, [1, 432, 64]> _inversed_x_113_cast_fp16 = mul(x = s_81_cast_fp16, y = _inversed_x_113_y_0_to_fp16)[name = tensor<string, []>("_inversed_x_113_cast_fp16")];
            tensor<int32, [3]> x_115_begin_0 = const()[name = tensor<string, []>("x_115_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_115_end_0 = const()[name = tensor<string, []>("x_115_end_0"), val = tensor<int32, [3]>([1, 216, 64])];
            tensor<bool, [3]> x_115_end_mask_0 = const()[name = tensor<string, []>("x_115_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 216, 64]> x_115_cast_fp16 = slice_by_index(begin = x_115_begin_0, end = x_115_end_0, end_mask = x_115_end_mask_0, x = _inversed_x_113_cast_fp16)[name = tensor<string, []>("x_115_cast_fp16")];
            tensor<fp16, [1, 216, 1]> m_decoder_activations_1_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_activations_1_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47485696)))];
            tensor<fp16, [1, 216, 64]> var_685_cast_fp16 = mul(x = m_decoder_activations_1_snake_act_alpha_to_fp16, y = x_115_cast_fp16)[name = tensor<string, []>("op_685_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_83_cast_fp16 = sin(x = var_685_cast_fp16)[name = tensor<string, []>("s_83_cast_fp16")];
            tensor<fp16, [1, 216, 1]> var_689_to_fp16 = const()[name = tensor<string, []>("op_689_to_fp16"), val = tensor<fp16, [1, 216, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47486208)))];
            tensor<fp16, [1, 216, 64]> var_692_cast_fp16 = mul(x = var_689_to_fp16, y = s_83_cast_fp16)[name = tensor<string, []>("op_692_cast_fp16")];
            tensor<fp16, [1, 216, 64]> var_693_cast_fp16 = mul(x = var_692_cast_fp16, y = s_83_cast_fp16)[name = tensor<string, []>("op_693_cast_fp16")];
            tensor<fp16, [1, 216, 64]> s_85_cast_fp16 = add(x = x_115_cast_fp16, y = var_693_cast_fp16)[name = tensor<string, []>("s_85_cast_fp16")];
            tensor<int32, [3]> input_75_begin_0 = const()[name = tensor<string, []>("input_75_begin_0"), val = tensor<int32, [3]>([0, 216, 0])];
            tensor<int32, [3]> input_75_end_0 = const()[name = tensor<string, []>("input_75_end_0"), val = tensor<int32, [3]>([1, 432, 64])];
            tensor<bool, [3]> input_75_end_mask_0 = const()[name = tensor<string, []>("input_75_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 216, 64]> input_75_cast_fp16 = slice_by_index(begin = input_75_begin_0, end = input_75_end_0, end_mask = input_75_end_mask_0, x = _inversed_x_113_cast_fp16)[name = tensor<string, []>("input_75_cast_fp16")];
            tensor<fp16, [1, 216, 64]> l_39_cast_fp16 = leaky_relu(alpha = var_25, x = input_75_cast_fp16)[name = tensor<string, []>("l_39_cast_fp16")];
            tensor<bool, []> x_117_interleave_0 = const()[name = tensor<string, []>("x_117_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 432, 64]> x_117_cast_fp16 = concat(axis = var_30, interleave = x_117_interleave_0, values = (s_85_cast_fp16, l_39_cast_fp16))[name = tensor<string, []>("x_117_cast_fp16")];
            tensor<string, []> y_3_pad_type_0 = const()[name = tensor<string, []>("y_3_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> y_3_strides_0 = const()[name = tensor<string, []>("y_3_strides_0"), val = tensor<int32, [1]>([8])];
            tensor<int32, []> y_3_groups_0 = const()[name = tensor<string, []>("y_3_groups_0"), val = tensor<int32, []>(216)];
            tensor<int32, [2]> y_3_pad_0 = const()[name = tensor<string, []>("y_3_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_3_dilations_0 = const()[name = tensor<string, []>("y_3_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [3]> y_3_has_output_shape_output_shape_0 = const()[name = tensor<string, []>("y_3_has_output_shape_output_shape_0"), val = tensor<int32, [3]>([1, 216, 520])];
            tensor<fp16, [432, 1, 16]> m_decoder_up_sample_conv_layers_1_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_up_sample_conv_layers_1_weight_to_fp16"), val = tensor<fp16, [432, 1, 16]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47486720)))];
            tensor<fp16, [216]> m_decoder_up_sample_conv_layers_1_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_up_sample_conv_layers_1_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47500608)))];
            tensor<fp16, [1, 216, 520]> y_3_has_output_shape_cast_fp16 = conv_transpose(bias = m_decoder_up_sample_conv_layers_1_bias_to_fp16, dilations = y_3_dilations_0, groups = y_3_groups_0, output_shape = y_3_has_output_shape_output_shape_0, pad = y_3_pad_0, pad_type = y_3_pad_type_0, strides = y_3_strides_0, weight = m_decoder_up_sample_conv_layers_1_weight_to_fp16, x = x_117_cast_fp16)[name = tensor<string, []>("y_3_has_output_shape_cast_fp16")];
            tensor<int32, [3]> x_119_begin_0 = const()[name = tensor<string, []>("x_119_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_119_end_0 = const()[name = tensor<string, []>("x_119_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> x_119_end_mask_0 = const()[name = tensor<string, []>("x_119_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [1, 216, 512]> x_119_cast_fp16 = slice_by_index(begin = x_119_begin_0, end = x_119_end_0, end_mask = x_119_end_mask_0, x = y_3_has_output_shape_cast_fp16)[name = tensor<string, []>("x_119_cast_fp16")];
            tensor<int32, [3]> x_121_begin_0 = const()[name = tensor<string, []>("x_121_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_121_end_0 = const()[name = tensor<string, []>("x_121_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_121_end_mask_0 = const()[name = tensor<string, []>("x_121_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_121_cast_fp16 = slice_by_index(begin = x_121_begin_0, end = x_121_end_0, end_mask = x_121_end_mask_0, x = x_119_cast_fp16)[name = tensor<string, []>("x_121_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47501120)))];
            tensor<fp16, [1, 108, 512]> var_730_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_121_cast_fp16)[name = tensor<string, []>("op_730_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_87_cast_fp16 = sin(x = var_730_cast_fp16)[name = tensor<string, []>("s_87_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_734_to_fp16 = const()[name = tensor<string, []>("op_734_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47501440)))];
            tensor<fp16, [1, 108, 512]> var_737_cast_fp16 = mul(x = var_734_to_fp16, y = s_87_cast_fp16)[name = tensor<string, []>("op_737_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_738_cast_fp16 = mul(x = var_737_cast_fp16, y = s_87_cast_fp16)[name = tensor<string, []>("op_738_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_89_cast_fp16 = add(x = x_121_cast_fp16, y = var_738_cast_fp16)[name = tensor<string, []>("s_89_cast_fp16")];
            tensor<int32, [3]> input_77_begin_0 = const()[name = tensor<string, []>("input_77_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_77_end_0 = const()[name = tensor<string, []>("input_77_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_77_end_mask_0 = const()[name = tensor<string, []>("input_77_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_77_cast_fp16 = slice_by_index(begin = input_77_begin_0, end = input_77_end_0, end_mask = input_77_end_mask_0, x = x_119_cast_fp16)[name = tensor<string, []>("input_77_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_41_cast_fp16 = leaky_relu(alpha = var_25, x = input_77_cast_fp16)[name = tensor<string, []>("l_41_cast_fp16")];
            tensor<bool, []> input_79_interleave_0 = const()[name = tensor<string, []>("input_79_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_79_cast_fp16 = concat(axis = var_30, interleave = input_79_interleave_0, values = (s_89_cast_fp16, l_41_cast_fp16))[name = tensor<string, []>("input_79_cast_fp16")];
            tensor<int32, [6]> x_123_pad_0 = const()[name = tensor<string, []>("x_123_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_123_mode_0 = const()[name = tensor<string, []>("x_123_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_19_to_fp16 = const()[name = tensor<string, []>("const_19_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 514]> x_123_cast_fp16 = pad(constant_val = const_19_to_fp16, mode = x_123_mode_0, pad = x_123_pad_0, x = input_79_cast_fp16)[name = tensor<string, []>("x_123_cast_fp16")];
            tensor<string, []> x_125_pad_type_0 = const()[name = tensor<string, []>("x_125_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_125_strides_0 = const()[name = tensor<string, []>("x_125_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_125_pad_0 = const()[name = tensor<string, []>("x_125_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_125_dilations_0 = const()[name = tensor<string, []>("x_125_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_125_groups_0 = const()[name = tensor<string, []>("x_125_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 3]> m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47501760)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47781760)))];
            tensor<fp16, [1, 216, 512]> x_125_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16, dilations = x_125_dilations_0, groups = x_125_groups_0, pad = x_125_pad_0, pad_type = x_125_pad_type_0, strides = x_125_strides_0, weight = m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16, x = x_123_cast_fp16)[name = tensor<string, []>("x_125_cast_fp16")];
            tensor<int32, [3]> x_127_begin_0 = const()[name = tensor<string, []>("x_127_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_127_end_0 = const()[name = tensor<string, []>("x_127_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_127_end_mask_0 = const()[name = tensor<string, []>("x_127_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_127_cast_fp16 = slice_by_index(begin = x_127_begin_0, end = x_127_end_0, end_mask = x_127_end_mask_0, x = x_125_cast_fp16)[name = tensor<string, []>("x_127_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47782272)))];
            tensor<fp16, [1, 108, 512]> var_758_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_127_cast_fp16)[name = tensor<string, []>("op_758_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_91_cast_fp16 = sin(x = var_758_cast_fp16)[name = tensor<string, []>("s_91_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_762_to_fp16 = const()[name = tensor<string, []>("op_762_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47782592)))];
            tensor<fp16, [1, 108, 512]> var_765_cast_fp16 = mul(x = var_762_to_fp16, y = s_91_cast_fp16)[name = tensor<string, []>("op_765_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_766_cast_fp16 = mul(x = var_765_cast_fp16, y = s_91_cast_fp16)[name = tensor<string, []>("op_766_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_93_cast_fp16 = add(x = x_127_cast_fp16, y = var_766_cast_fp16)[name = tensor<string, []>("s_93_cast_fp16")];
            tensor<int32, [3]> input_81_begin_0 = const()[name = tensor<string, []>("input_81_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_81_end_0 = const()[name = tensor<string, []>("input_81_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_81_end_mask_0 = const()[name = tensor<string, []>("input_81_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_81_cast_fp16 = slice_by_index(begin = input_81_begin_0, end = input_81_end_0, end_mask = input_81_end_mask_0, x = x_125_cast_fp16)[name = tensor<string, []>("input_81_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_43_cast_fp16 = leaky_relu(alpha = var_25, x = input_81_cast_fp16)[name = tensor<string, []>("l_43_cast_fp16")];
            tensor<bool, []> input_83_interleave_0 = const()[name = tensor<string, []>("input_83_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_83_cast_fp16 = concat(axis = var_30, interleave = input_83_interleave_0, values = (s_93_cast_fp16, l_43_cast_fp16))[name = tensor<string, []>("input_83_cast_fp16")];
            tensor<int32, [6]> x_129_pad_0 = const()[name = tensor<string, []>("x_129_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_129_mode_0 = const()[name = tensor<string, []>("x_129_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_20_to_fp16 = const()[name = tensor<string, []>("const_20_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 514]> x_129_cast_fp16 = pad(constant_val = const_20_to_fp16, mode = x_129_mode_0, pad = x_129_pad_0, x = input_83_cast_fp16)[name = tensor<string, []>("x_129_cast_fp16")];
            tensor<string, []> h_19_pad_type_0 = const()[name = tensor<string, []>("h_19_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_19_strides_0 = const()[name = tensor<string, []>("h_19_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_19_pad_0 = const()[name = tensor<string, []>("h_19_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_19_dilations_0 = const()[name = tensor<string, []>("h_19_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_19_groups_0 = const()[name = tensor<string, []>("h_19_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 3]> m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47782912)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48062912)))];
            tensor<fp16, [1, 216, 512]> h_19_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_19_dilations_0, groups = h_19_groups_0, pad = h_19_pad_0, pad_type = h_19_pad_type_0, strides = h_19_strides_0, weight = m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16, x = x_129_cast_fp16)[name = tensor<string, []>("h_19_cast_fp16")];
            tensor<fp16, [1, 216, 512]> x_131_cast_fp16 = add(x = x_119_cast_fp16, y = h_19_cast_fp16)[name = tensor<string, []>("x_131_cast_fp16")];
            tensor<int32, [3]> x_133_begin_0 = const()[name = tensor<string, []>("x_133_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_133_end_0 = const()[name = tensor<string, []>("x_133_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_133_end_mask_0 = const()[name = tensor<string, []>("x_133_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_133_cast_fp16 = slice_by_index(begin = x_133_begin_0, end = x_133_end_0, end_mask = x_133_end_mask_0, x = x_131_cast_fp16)[name = tensor<string, []>("x_133_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48063424)))];
            tensor<fp16, [1, 108, 512]> var_791_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_133_cast_fp16)[name = tensor<string, []>("op_791_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_95_cast_fp16 = sin(x = var_791_cast_fp16)[name = tensor<string, []>("s_95_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_795_to_fp16 = const()[name = tensor<string, []>("op_795_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48063744)))];
            tensor<fp16, [1, 108, 512]> var_798_cast_fp16 = mul(x = var_795_to_fp16, y = s_95_cast_fp16)[name = tensor<string, []>("op_798_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_799_cast_fp16 = mul(x = var_798_cast_fp16, y = s_95_cast_fp16)[name = tensor<string, []>("op_799_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_97_cast_fp16 = add(x = x_133_cast_fp16, y = var_799_cast_fp16)[name = tensor<string, []>("s_97_cast_fp16")];
            tensor<int32, [3]> input_85_begin_0 = const()[name = tensor<string, []>("input_85_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_85_end_0 = const()[name = tensor<string, []>("input_85_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_85_end_mask_0 = const()[name = tensor<string, []>("input_85_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_85_cast_fp16 = slice_by_index(begin = input_85_begin_0, end = input_85_end_0, end_mask = input_85_end_mask_0, x = x_131_cast_fp16)[name = tensor<string, []>("input_85_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_45_cast_fp16 = leaky_relu(alpha = var_25, x = input_85_cast_fp16)[name = tensor<string, []>("l_45_cast_fp16")];
            tensor<bool, []> input_87_interleave_0 = const()[name = tensor<string, []>("input_87_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_87_cast_fp16 = concat(axis = var_30, interleave = input_87_interleave_0, values = (s_97_cast_fp16, l_45_cast_fp16))[name = tensor<string, []>("input_87_cast_fp16")];
            tensor<int32, [6]> x_135_pad_0 = const()[name = tensor<string, []>("x_135_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_135_mode_0 = const()[name = tensor<string, []>("x_135_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_21_to_fp16 = const()[name = tensor<string, []>("const_21_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 518]> x_135_cast_fp16 = pad(constant_val = const_21_to_fp16, mode = x_135_mode_0, pad = x_135_pad_0, x = input_87_cast_fp16)[name = tensor<string, []>("x_135_cast_fp16")];
            tensor<string, []> x_137_pad_type_0 = const()[name = tensor<string, []>("x_137_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_137_dilations_0 = const()[name = tensor<string, []>("x_137_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_137_strides_0 = const()[name = tensor<string, []>("x_137_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_137_pad_0 = const()[name = tensor<string, []>("x_137_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_137_groups_0 = const()[name = tensor<string, []>("x_137_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 3]> m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48064064)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48344064)))];
            tensor<fp16, [1, 216, 512]> x_137_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16, dilations = x_137_dilations_0, groups = x_137_groups_0, pad = x_137_pad_0, pad_type = x_137_pad_type_0, strides = x_137_strides_0, weight = m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16, x = x_135_cast_fp16)[name = tensor<string, []>("x_137_cast_fp16")];
            tensor<int32, [3]> x_139_begin_0 = const()[name = tensor<string, []>("x_139_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_139_end_0 = const()[name = tensor<string, []>("x_139_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_139_end_mask_0 = const()[name = tensor<string, []>("x_139_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_139_cast_fp16 = slice_by_index(begin = x_139_begin_0, end = x_139_end_0, end_mask = x_139_end_mask_0, x = x_137_cast_fp16)[name = tensor<string, []>("x_139_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48344576)))];
            tensor<fp16, [1, 108, 512]> var_819_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_139_cast_fp16)[name = tensor<string, []>("op_819_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_99_cast_fp16 = sin(x = var_819_cast_fp16)[name = tensor<string, []>("s_99_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_823_to_fp16 = const()[name = tensor<string, []>("op_823_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48344896)))];
            tensor<fp16, [1, 108, 512]> var_826_cast_fp16 = mul(x = var_823_to_fp16, y = s_99_cast_fp16)[name = tensor<string, []>("op_826_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_827_cast_fp16 = mul(x = var_826_cast_fp16, y = s_99_cast_fp16)[name = tensor<string, []>("op_827_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_101_cast_fp16 = add(x = x_139_cast_fp16, y = var_827_cast_fp16)[name = tensor<string, []>("s_101_cast_fp16")];
            tensor<int32, [3]> input_89_begin_0 = const()[name = tensor<string, []>("input_89_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_89_end_0 = const()[name = tensor<string, []>("input_89_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_89_end_mask_0 = const()[name = tensor<string, []>("input_89_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_89_cast_fp16 = slice_by_index(begin = input_89_begin_0, end = input_89_end_0, end_mask = input_89_end_mask_0, x = x_137_cast_fp16)[name = tensor<string, []>("input_89_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_47_cast_fp16 = leaky_relu(alpha = var_25, x = input_89_cast_fp16)[name = tensor<string, []>("l_47_cast_fp16")];
            tensor<bool, []> input_91_interleave_0 = const()[name = tensor<string, []>("input_91_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_91_cast_fp16 = concat(axis = var_30, interleave = input_91_interleave_0, values = (s_101_cast_fp16, l_47_cast_fp16))[name = tensor<string, []>("input_91_cast_fp16")];
            tensor<int32, [6]> x_141_pad_0 = const()[name = tensor<string, []>("x_141_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_141_mode_0 = const()[name = tensor<string, []>("x_141_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_22_to_fp16 = const()[name = tensor<string, []>("const_22_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 514]> x_141_cast_fp16 = pad(constant_val = const_22_to_fp16, mode = x_141_mode_0, pad = x_141_pad_0, x = input_91_cast_fp16)[name = tensor<string, []>("x_141_cast_fp16")];
            tensor<string, []> h_21_pad_type_0 = const()[name = tensor<string, []>("h_21_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_21_strides_0 = const()[name = tensor<string, []>("h_21_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_21_pad_0 = const()[name = tensor<string, []>("h_21_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_21_dilations_0 = const()[name = tensor<string, []>("h_21_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_21_groups_0 = const()[name = tensor<string, []>("h_21_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 3]> m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48345216)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48625216)))];
            tensor<fp16, [1, 216, 512]> h_21_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_21_dilations_0, groups = h_21_groups_0, pad = h_21_pad_0, pad_type = h_21_pad_type_0, strides = h_21_strides_0, weight = m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16, x = x_141_cast_fp16)[name = tensor<string, []>("h_21_cast_fp16")];
            tensor<fp16, [1, 216, 512]> x_143_cast_fp16 = add(x = x_131_cast_fp16, y = h_21_cast_fp16)[name = tensor<string, []>("x_143_cast_fp16")];
            tensor<int32, [3]> x_145_begin_0 = const()[name = tensor<string, []>("x_145_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_145_end_0 = const()[name = tensor<string, []>("x_145_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_145_end_mask_0 = const()[name = tensor<string, []>("x_145_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_145_cast_fp16 = slice_by_index(begin = x_145_begin_0, end = x_145_end_0, end_mask = x_145_end_mask_0, x = x_143_cast_fp16)[name = tensor<string, []>("x_145_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48625728)))];
            tensor<fp16, [1, 108, 512]> var_852_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_145_cast_fp16)[name = tensor<string, []>("op_852_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_103_cast_fp16 = sin(x = var_852_cast_fp16)[name = tensor<string, []>("s_103_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_856_to_fp16 = const()[name = tensor<string, []>("op_856_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48626048)))];
            tensor<fp16, [1, 108, 512]> var_859_cast_fp16 = mul(x = var_856_to_fp16, y = s_103_cast_fp16)[name = tensor<string, []>("op_859_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_860_cast_fp16 = mul(x = var_859_cast_fp16, y = s_103_cast_fp16)[name = tensor<string, []>("op_860_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_105_cast_fp16 = add(x = x_145_cast_fp16, y = var_860_cast_fp16)[name = tensor<string, []>("s_105_cast_fp16")];
            tensor<int32, [3]> input_93_begin_0 = const()[name = tensor<string, []>("input_93_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_93_end_0 = const()[name = tensor<string, []>("input_93_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_93_end_mask_0 = const()[name = tensor<string, []>("input_93_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_93_cast_fp16 = slice_by_index(begin = input_93_begin_0, end = input_93_end_0, end_mask = input_93_end_mask_0, x = x_143_cast_fp16)[name = tensor<string, []>("input_93_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_49_cast_fp16 = leaky_relu(alpha = var_25, x = input_93_cast_fp16)[name = tensor<string, []>("l_49_cast_fp16")];
            tensor<bool, []> input_95_interleave_0 = const()[name = tensor<string, []>("input_95_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_95_cast_fp16 = concat(axis = var_30, interleave = input_95_interleave_0, values = (s_105_cast_fp16, l_49_cast_fp16))[name = tensor<string, []>("input_95_cast_fp16")];
            tensor<int32, [6]> x_147_pad_0 = const()[name = tensor<string, []>("x_147_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_147_mode_0 = const()[name = tensor<string, []>("x_147_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_23_to_fp16 = const()[name = tensor<string, []>("const_23_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 522]> x_147_cast_fp16 = pad(constant_val = const_23_to_fp16, mode = x_147_mode_0, pad = x_147_pad_0, x = input_95_cast_fp16)[name = tensor<string, []>("x_147_cast_fp16")];
            tensor<string, []> x_149_pad_type_0 = const()[name = tensor<string, []>("x_149_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_149_dilations_0 = const()[name = tensor<string, []>("x_149_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_149_strides_0 = const()[name = tensor<string, []>("x_149_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_149_pad_0 = const()[name = tensor<string, []>("x_149_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_149_groups_0 = const()[name = tensor<string, []>("x_149_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 3]> m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48626368)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48906368)))];
            tensor<fp16, [1, 216, 512]> x_149_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16, dilations = x_149_dilations_0, groups = x_149_groups_0, pad = x_149_pad_0, pad_type = x_149_pad_type_0, strides = x_149_strides_0, weight = m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16, x = x_147_cast_fp16)[name = tensor<string, []>("x_149_cast_fp16")];
            tensor<int32, [3]> x_151_begin_0 = const()[name = tensor<string, []>("x_151_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_151_end_0 = const()[name = tensor<string, []>("x_151_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_151_end_mask_0 = const()[name = tensor<string, []>("x_151_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_151_cast_fp16 = slice_by_index(begin = x_151_begin_0, end = x_151_end_0, end_mask = x_151_end_mask_0, x = x_149_cast_fp16)[name = tensor<string, []>("x_151_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48906880)))];
            tensor<fp16, [1, 108, 512]> var_880_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_151_cast_fp16)[name = tensor<string, []>("op_880_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_107_cast_fp16 = sin(x = var_880_cast_fp16)[name = tensor<string, []>("s_107_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_884_to_fp16 = const()[name = tensor<string, []>("op_884_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48907200)))];
            tensor<fp16, [1, 108, 512]> var_887_cast_fp16 = mul(x = var_884_to_fp16, y = s_107_cast_fp16)[name = tensor<string, []>("op_887_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_888_cast_fp16 = mul(x = var_887_cast_fp16, y = s_107_cast_fp16)[name = tensor<string, []>("op_888_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_109_cast_fp16 = add(x = x_151_cast_fp16, y = var_888_cast_fp16)[name = tensor<string, []>("s_109_cast_fp16")];
            tensor<int32, [3]> input_97_begin_0 = const()[name = tensor<string, []>("input_97_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_97_end_0 = const()[name = tensor<string, []>("input_97_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_97_end_mask_0 = const()[name = tensor<string, []>("input_97_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_97_cast_fp16 = slice_by_index(begin = input_97_begin_0, end = input_97_end_0, end_mask = input_97_end_mask_0, x = x_149_cast_fp16)[name = tensor<string, []>("input_97_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_51_cast_fp16 = leaky_relu(alpha = var_25, x = input_97_cast_fp16)[name = tensor<string, []>("l_51_cast_fp16")];
            tensor<bool, []> input_99_interleave_0 = const()[name = tensor<string, []>("input_99_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_99_cast_fp16 = concat(axis = var_30, interleave = input_99_interleave_0, values = (s_109_cast_fp16, l_51_cast_fp16))[name = tensor<string, []>("input_99_cast_fp16")];
            tensor<int32, [6]> x_153_pad_0 = const()[name = tensor<string, []>("x_153_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_153_mode_0 = const()[name = tensor<string, []>("x_153_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_24_to_fp16 = const()[name = tensor<string, []>("const_24_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 514]> x_153_cast_fp16 = pad(constant_val = const_24_to_fp16, mode = x_153_mode_0, pad = x_153_pad_0, x = input_99_cast_fp16)[name = tensor<string, []>("x_153_cast_fp16")];
            tensor<string, []> h_23_pad_type_0 = const()[name = tensor<string, []>("h_23_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_23_strides_0 = const()[name = tensor<string, []>("h_23_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_23_pad_0 = const()[name = tensor<string, []>("h_23_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_23_dilations_0 = const()[name = tensor<string, []>("h_23_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_23_groups_0 = const()[name = tensor<string, []>("h_23_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 3]> m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48907520)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49187520)))];
            tensor<fp16, [1, 216, 512]> h_23_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_23_dilations_0, groups = h_23_groups_0, pad = h_23_pad_0, pad_type = h_23_pad_type_0, strides = h_23_strides_0, weight = m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16, x = x_153_cast_fp16)[name = tensor<string, []>("h_23_cast_fp16")];
            tensor<fp16, [1, 216, 512]> s_159_cast_fp16 = add(x = x_143_cast_fp16, y = h_23_cast_fp16)[name = tensor<string, []>("s_159_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49188032)))];
            tensor<fp16, [1, 108, 512]> var_919_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_121_cast_fp16)[name = tensor<string, []>("op_919_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_111_cast_fp16 = sin(x = var_919_cast_fp16)[name = tensor<string, []>("s_111_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_923_to_fp16 = const()[name = tensor<string, []>("op_923_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49188352)))];
            tensor<fp16, [1, 108, 512]> var_926_cast_fp16 = mul(x = var_923_to_fp16, y = s_111_cast_fp16)[name = tensor<string, []>("op_926_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_927_cast_fp16 = mul(x = var_926_cast_fp16, y = s_111_cast_fp16)[name = tensor<string, []>("op_927_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_113_cast_fp16 = add(x = x_121_cast_fp16, y = var_927_cast_fp16)[name = tensor<string, []>("s_113_cast_fp16")];
            tensor<bool, []> input_103_interleave_0 = const()[name = tensor<string, []>("input_103_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_103_cast_fp16 = concat(axis = var_30, interleave = input_103_interleave_0, values = (s_113_cast_fp16, l_41_cast_fp16))[name = tensor<string, []>("input_103_cast_fp16")];
            tensor<int32, [6]> x_157_pad_0 = const()[name = tensor<string, []>("x_157_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_157_mode_0 = const()[name = tensor<string, []>("x_157_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_25_to_fp16 = const()[name = tensor<string, []>("const_25_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 518]> x_157_cast_fp16 = pad(constant_val = const_25_to_fp16, mode = x_157_mode_0, pad = x_157_pad_0, x = input_103_cast_fp16)[name = tensor<string, []>("x_157_cast_fp16")];
            tensor<string, []> x_159_pad_type_0 = const()[name = tensor<string, []>("x_159_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_159_strides_0 = const()[name = tensor<string, []>("x_159_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_159_pad_0 = const()[name = tensor<string, []>("x_159_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_159_dilations_0 = const()[name = tensor<string, []>("x_159_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_159_groups_0 = const()[name = tensor<string, []>("x_159_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 7]> m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49188672)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49841920)))];
            tensor<fp16, [1, 216, 512]> x_159_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16, dilations = x_159_dilations_0, groups = x_159_groups_0, pad = x_159_pad_0, pad_type = x_159_pad_type_0, strides = x_159_strides_0, weight = m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16, x = x_157_cast_fp16)[name = tensor<string, []>("x_159_cast_fp16")];
            tensor<int32, [3]> x_161_begin_0 = const()[name = tensor<string, []>("x_161_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_161_end_0 = const()[name = tensor<string, []>("x_161_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_161_end_mask_0 = const()[name = tensor<string, []>("x_161_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_161_cast_fp16 = slice_by_index(begin = x_161_begin_0, end = x_161_end_0, end_mask = x_161_end_mask_0, x = x_159_cast_fp16)[name = tensor<string, []>("x_161_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49842432)))];
            tensor<fp16, [1, 108, 512]> var_947_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_161_cast_fp16)[name = tensor<string, []>("op_947_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_115_cast_fp16 = sin(x = var_947_cast_fp16)[name = tensor<string, []>("s_115_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_951_to_fp16 = const()[name = tensor<string, []>("op_951_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49842752)))];
            tensor<fp16, [1, 108, 512]> var_954_cast_fp16 = mul(x = var_951_to_fp16, y = s_115_cast_fp16)[name = tensor<string, []>("op_954_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_955_cast_fp16 = mul(x = var_954_cast_fp16, y = s_115_cast_fp16)[name = tensor<string, []>("op_955_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_117_cast_fp16 = add(x = x_161_cast_fp16, y = var_955_cast_fp16)[name = tensor<string, []>("s_117_cast_fp16")];
            tensor<int32, [3]> input_105_begin_0 = const()[name = tensor<string, []>("input_105_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_105_end_0 = const()[name = tensor<string, []>("input_105_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_105_end_mask_0 = const()[name = tensor<string, []>("input_105_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_105_cast_fp16 = slice_by_index(begin = input_105_begin_0, end = input_105_end_0, end_mask = input_105_end_mask_0, x = x_159_cast_fp16)[name = tensor<string, []>("input_105_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_55_cast_fp16 = leaky_relu(alpha = var_25, x = input_105_cast_fp16)[name = tensor<string, []>("l_55_cast_fp16")];
            tensor<bool, []> input_107_interleave_0 = const()[name = tensor<string, []>("input_107_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_107_cast_fp16 = concat(axis = var_30, interleave = input_107_interleave_0, values = (s_117_cast_fp16, l_55_cast_fp16))[name = tensor<string, []>("input_107_cast_fp16")];
            tensor<int32, [6]> x_163_pad_0 = const()[name = tensor<string, []>("x_163_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_163_mode_0 = const()[name = tensor<string, []>("x_163_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_26_to_fp16 = const()[name = tensor<string, []>("const_26_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 518]> x_163_cast_fp16 = pad(constant_val = const_26_to_fp16, mode = x_163_mode_0, pad = x_163_pad_0, x = input_107_cast_fp16)[name = tensor<string, []>("x_163_cast_fp16")];
            tensor<string, []> h_25_pad_type_0 = const()[name = tensor<string, []>("h_25_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_25_strides_0 = const()[name = tensor<string, []>("h_25_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_25_pad_0 = const()[name = tensor<string, []>("h_25_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_25_dilations_0 = const()[name = tensor<string, []>("h_25_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_25_groups_0 = const()[name = tensor<string, []>("h_25_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 7]> m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49843072)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(50496320)))];
            tensor<fp16, [1, 216, 512]> h_25_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_25_dilations_0, groups = h_25_groups_0, pad = h_25_pad_0, pad_type = h_25_pad_type_0, strides = h_25_strides_0, weight = m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16, x = x_163_cast_fp16)[name = tensor<string, []>("h_25_cast_fp16")];
            tensor<fp16, [1, 216, 512]> x_165_cast_fp16 = add(x = x_119_cast_fp16, y = h_25_cast_fp16)[name = tensor<string, []>("x_165_cast_fp16")];
            tensor<int32, [3]> x_167_begin_0 = const()[name = tensor<string, []>("x_167_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_167_end_0 = const()[name = tensor<string, []>("x_167_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_167_end_mask_0 = const()[name = tensor<string, []>("x_167_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_167_cast_fp16 = slice_by_index(begin = x_167_begin_0, end = x_167_end_0, end_mask = x_167_end_mask_0, x = x_165_cast_fp16)[name = tensor<string, []>("x_167_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(50496832)))];
            tensor<fp16, [1, 108, 512]> var_980_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_167_cast_fp16)[name = tensor<string, []>("op_980_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_119_cast_fp16 = sin(x = var_980_cast_fp16)[name = tensor<string, []>("s_119_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_984_to_fp16 = const()[name = tensor<string, []>("op_984_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(50497152)))];
            tensor<fp16, [1, 108, 512]> var_987_cast_fp16 = mul(x = var_984_to_fp16, y = s_119_cast_fp16)[name = tensor<string, []>("op_987_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_988_cast_fp16 = mul(x = var_987_cast_fp16, y = s_119_cast_fp16)[name = tensor<string, []>("op_988_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_121_cast_fp16 = add(x = x_167_cast_fp16, y = var_988_cast_fp16)[name = tensor<string, []>("s_121_cast_fp16")];
            tensor<int32, [3]> input_109_begin_0 = const()[name = tensor<string, []>("input_109_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_109_end_0 = const()[name = tensor<string, []>("input_109_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_109_end_mask_0 = const()[name = tensor<string, []>("input_109_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_109_cast_fp16 = slice_by_index(begin = input_109_begin_0, end = input_109_end_0, end_mask = input_109_end_mask_0, x = x_165_cast_fp16)[name = tensor<string, []>("input_109_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_57_cast_fp16 = leaky_relu(alpha = var_25, x = input_109_cast_fp16)[name = tensor<string, []>("l_57_cast_fp16")];
            tensor<bool, []> input_111_interleave_0 = const()[name = tensor<string, []>("input_111_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_111_cast_fp16 = concat(axis = var_30, interleave = input_111_interleave_0, values = (s_121_cast_fp16, l_57_cast_fp16))[name = tensor<string, []>("input_111_cast_fp16")];
            tensor<int32, [6]> x_169_pad_0 = const()[name = tensor<string, []>("x_169_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 18, 0])];
            tensor<string, []> x_169_mode_0 = const()[name = tensor<string, []>("x_169_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_27_to_fp16 = const()[name = tensor<string, []>("const_27_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 530]> x_169_cast_fp16 = pad(constant_val = const_27_to_fp16, mode = x_169_mode_0, pad = x_169_pad_0, x = input_111_cast_fp16)[name = tensor<string, []>("x_169_cast_fp16")];
            tensor<string, []> x_171_pad_type_0 = const()[name = tensor<string, []>("x_171_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_171_dilations_0 = const()[name = tensor<string, []>("x_171_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_171_strides_0 = const()[name = tensor<string, []>("x_171_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_171_pad_0 = const()[name = tensor<string, []>("x_171_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_171_groups_0 = const()[name = tensor<string, []>("x_171_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 7]> m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(50497472)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51150720)))];
            tensor<fp16, [1, 216, 512]> x_171_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16, dilations = x_171_dilations_0, groups = x_171_groups_0, pad = x_171_pad_0, pad_type = x_171_pad_type_0, strides = x_171_strides_0, weight = m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16, x = x_169_cast_fp16)[name = tensor<string, []>("x_171_cast_fp16")];
            tensor<int32, [3]> x_173_begin_0 = const()[name = tensor<string, []>("x_173_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_173_end_0 = const()[name = tensor<string, []>("x_173_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_173_end_mask_0 = const()[name = tensor<string, []>("x_173_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_173_cast_fp16 = slice_by_index(begin = x_173_begin_0, end = x_173_end_0, end_mask = x_173_end_mask_0, x = x_171_cast_fp16)[name = tensor<string, []>("x_173_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51151232)))];
            tensor<fp16, [1, 108, 512]> var_1008_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_173_cast_fp16)[name = tensor<string, []>("op_1008_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_123_cast_fp16 = sin(x = var_1008_cast_fp16)[name = tensor<string, []>("s_123_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_1012_to_fp16 = const()[name = tensor<string, []>("op_1012_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51151552)))];
            tensor<fp16, [1, 108, 512]> var_1015_cast_fp16 = mul(x = var_1012_to_fp16, y = s_123_cast_fp16)[name = tensor<string, []>("op_1015_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_1016_cast_fp16 = mul(x = var_1015_cast_fp16, y = s_123_cast_fp16)[name = tensor<string, []>("op_1016_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_125_cast_fp16 = add(x = x_173_cast_fp16, y = var_1016_cast_fp16)[name = tensor<string, []>("s_125_cast_fp16")];
            tensor<int32, [3]> input_113_begin_0 = const()[name = tensor<string, []>("input_113_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_113_end_0 = const()[name = tensor<string, []>("input_113_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_113_end_mask_0 = const()[name = tensor<string, []>("input_113_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_113_cast_fp16 = slice_by_index(begin = input_113_begin_0, end = input_113_end_0, end_mask = input_113_end_mask_0, x = x_171_cast_fp16)[name = tensor<string, []>("input_113_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_59_cast_fp16 = leaky_relu(alpha = var_25, x = input_113_cast_fp16)[name = tensor<string, []>("l_59_cast_fp16")];
            tensor<bool, []> input_115_interleave_0 = const()[name = tensor<string, []>("input_115_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_115_cast_fp16 = concat(axis = var_30, interleave = input_115_interleave_0, values = (s_125_cast_fp16, l_59_cast_fp16))[name = tensor<string, []>("input_115_cast_fp16")];
            tensor<int32, [6]> x_175_pad_0 = const()[name = tensor<string, []>("x_175_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_175_mode_0 = const()[name = tensor<string, []>("x_175_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_28_to_fp16 = const()[name = tensor<string, []>("const_28_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 518]> x_175_cast_fp16 = pad(constant_val = const_28_to_fp16, mode = x_175_mode_0, pad = x_175_pad_0, x = input_115_cast_fp16)[name = tensor<string, []>("x_175_cast_fp16")];
            tensor<string, []> h_27_pad_type_0 = const()[name = tensor<string, []>("h_27_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_27_strides_0 = const()[name = tensor<string, []>("h_27_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_27_pad_0 = const()[name = tensor<string, []>("h_27_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_27_dilations_0 = const()[name = tensor<string, []>("h_27_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_27_groups_0 = const()[name = tensor<string, []>("h_27_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 7]> m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51151872)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51805120)))];
            tensor<fp16, [1, 216, 512]> h_27_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_27_dilations_0, groups = h_27_groups_0, pad = h_27_pad_0, pad_type = h_27_pad_type_0, strides = h_27_strides_0, weight = m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16, x = x_175_cast_fp16)[name = tensor<string, []>("h_27_cast_fp16")];
            tensor<fp16, [1, 216, 512]> x_177_cast_fp16 = add(x = x_165_cast_fp16, y = h_27_cast_fp16)[name = tensor<string, []>("x_177_cast_fp16")];
            tensor<int32, [3]> x_179_begin_0 = const()[name = tensor<string, []>("x_179_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_179_end_0 = const()[name = tensor<string, []>("x_179_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_179_end_mask_0 = const()[name = tensor<string, []>("x_179_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_179_cast_fp16 = slice_by_index(begin = x_179_begin_0, end = x_179_end_0, end_mask = x_179_end_mask_0, x = x_177_cast_fp16)[name = tensor<string, []>("x_179_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51805632)))];
            tensor<fp16, [1, 108, 512]> var_1041_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_179_cast_fp16)[name = tensor<string, []>("op_1041_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_127_cast_fp16 = sin(x = var_1041_cast_fp16)[name = tensor<string, []>("s_127_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_1045_to_fp16 = const()[name = tensor<string, []>("op_1045_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51805952)))];
            tensor<fp16, [1, 108, 512]> var_1048_cast_fp16 = mul(x = var_1045_to_fp16, y = s_127_cast_fp16)[name = tensor<string, []>("op_1048_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_1049_cast_fp16 = mul(x = var_1048_cast_fp16, y = s_127_cast_fp16)[name = tensor<string, []>("op_1049_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_129_cast_fp16 = add(x = x_179_cast_fp16, y = var_1049_cast_fp16)[name = tensor<string, []>("s_129_cast_fp16")];
            tensor<int32, [3]> input_117_begin_0 = const()[name = tensor<string, []>("input_117_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_117_end_0 = const()[name = tensor<string, []>("input_117_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_117_end_mask_0 = const()[name = tensor<string, []>("input_117_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_117_cast_fp16 = slice_by_index(begin = input_117_begin_0, end = input_117_end_0, end_mask = input_117_end_mask_0, x = x_177_cast_fp16)[name = tensor<string, []>("input_117_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_61_cast_fp16 = leaky_relu(alpha = var_25, x = input_117_cast_fp16)[name = tensor<string, []>("l_61_cast_fp16")];
            tensor<bool, []> input_119_interleave_0 = const()[name = tensor<string, []>("input_119_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_119_cast_fp16 = concat(axis = var_30, interleave = input_119_interleave_0, values = (s_129_cast_fp16, l_61_cast_fp16))[name = tensor<string, []>("input_119_cast_fp16")];
            tensor<int32, [6]> x_181_pad_0 = const()[name = tensor<string, []>("x_181_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 30, 0])];
            tensor<string, []> x_181_mode_0 = const()[name = tensor<string, []>("x_181_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_29_to_fp16 = const()[name = tensor<string, []>("const_29_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 542]> x_181_cast_fp16 = pad(constant_val = const_29_to_fp16, mode = x_181_mode_0, pad = x_181_pad_0, x = input_119_cast_fp16)[name = tensor<string, []>("x_181_cast_fp16")];
            tensor<string, []> x_183_pad_type_0 = const()[name = tensor<string, []>("x_183_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_183_dilations_0 = const()[name = tensor<string, []>("x_183_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_183_strides_0 = const()[name = tensor<string, []>("x_183_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_183_pad_0 = const()[name = tensor<string, []>("x_183_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_183_groups_0 = const()[name = tensor<string, []>("x_183_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 7]> m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(51806272)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(52459520)))];
            tensor<fp16, [1, 216, 512]> x_183_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16, dilations = x_183_dilations_0, groups = x_183_groups_0, pad = x_183_pad_0, pad_type = x_183_pad_type_0, strides = x_183_strides_0, weight = m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16, x = x_181_cast_fp16)[name = tensor<string, []>("x_183_cast_fp16")];
            tensor<int32, [3]> x_185_begin_0 = const()[name = tensor<string, []>("x_185_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_185_end_0 = const()[name = tensor<string, []>("x_185_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_185_end_mask_0 = const()[name = tensor<string, []>("x_185_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_185_cast_fp16 = slice_by_index(begin = x_185_begin_0, end = x_185_end_0, end_mask = x_185_end_mask_0, x = x_183_cast_fp16)[name = tensor<string, []>("x_185_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(52460032)))];
            tensor<fp16, [1, 108, 512]> var_1069_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_185_cast_fp16)[name = tensor<string, []>("op_1069_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_131_cast_fp16 = sin(x = var_1069_cast_fp16)[name = tensor<string, []>("s_131_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_1073_to_fp16 = const()[name = tensor<string, []>("op_1073_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(52460352)))];
            tensor<fp16, [1, 108, 512]> var_1076_cast_fp16 = mul(x = var_1073_to_fp16, y = s_131_cast_fp16)[name = tensor<string, []>("op_1076_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_1077_cast_fp16 = mul(x = var_1076_cast_fp16, y = s_131_cast_fp16)[name = tensor<string, []>("op_1077_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_133_cast_fp16 = add(x = x_185_cast_fp16, y = var_1077_cast_fp16)[name = tensor<string, []>("s_133_cast_fp16")];
            tensor<int32, [3]> input_121_begin_0 = const()[name = tensor<string, []>("input_121_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_121_end_0 = const()[name = tensor<string, []>("input_121_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_121_end_mask_0 = const()[name = tensor<string, []>("input_121_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_121_cast_fp16 = slice_by_index(begin = input_121_begin_0, end = input_121_end_0, end_mask = input_121_end_mask_0, x = x_183_cast_fp16)[name = tensor<string, []>("input_121_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_63_cast_fp16 = leaky_relu(alpha = var_25, x = input_121_cast_fp16)[name = tensor<string, []>("l_63_cast_fp16")];
            tensor<bool, []> input_123_interleave_0 = const()[name = tensor<string, []>("input_123_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_123_cast_fp16 = concat(axis = var_30, interleave = input_123_interleave_0, values = (s_133_cast_fp16, l_63_cast_fp16))[name = tensor<string, []>("input_123_cast_fp16")];
            tensor<int32, [6]> x_187_pad_0 = const()[name = tensor<string, []>("x_187_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_187_mode_0 = const()[name = tensor<string, []>("x_187_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_30_to_fp16 = const()[name = tensor<string, []>("const_30_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 518]> x_187_cast_fp16 = pad(constant_val = const_30_to_fp16, mode = x_187_mode_0, pad = x_187_pad_0, x = input_123_cast_fp16)[name = tensor<string, []>("x_187_cast_fp16")];
            tensor<string, []> h_29_pad_type_0 = const()[name = tensor<string, []>("h_29_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_29_strides_0 = const()[name = tensor<string, []>("h_29_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_29_pad_0 = const()[name = tensor<string, []>("h_29_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_29_dilations_0 = const()[name = tensor<string, []>("h_29_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_29_groups_0 = const()[name = tensor<string, []>("h_29_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 7]> m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(52460672)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(53113920)))];
            tensor<fp16, [1, 216, 512]> h_29_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_29_dilations_0, groups = h_29_groups_0, pad = h_29_pad_0, pad_type = h_29_pad_type_0, strides = h_29_strides_0, weight = m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16, x = x_187_cast_fp16)[name = tensor<string, []>("h_29_cast_fp16")];
            tensor<fp16, [1, 216, 512]> o_5_cast_fp16 = add(x = x_177_cast_fp16, y = h_29_cast_fp16)[name = tensor<string, []>("o_5_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(53114432)))];
            tensor<fp16, [1, 108, 512]> var_1108_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_121_cast_fp16)[name = tensor<string, []>("op_1108_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_135_cast_fp16 = sin(x = var_1108_cast_fp16)[name = tensor<string, []>("s_135_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_1112_to_fp16 = const()[name = tensor<string, []>("op_1112_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(53114752)))];
            tensor<fp16, [1, 108, 512]> var_1115_cast_fp16 = mul(x = var_1112_to_fp16, y = s_135_cast_fp16)[name = tensor<string, []>("op_1115_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_1116_cast_fp16 = mul(x = var_1115_cast_fp16, y = s_135_cast_fp16)[name = tensor<string, []>("op_1116_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_137_cast_fp16 = add(x = x_121_cast_fp16, y = var_1116_cast_fp16)[name = tensor<string, []>("s_137_cast_fp16")];
            tensor<bool, []> input_127_interleave_0 = const()[name = tensor<string, []>("input_127_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_127_cast_fp16 = concat(axis = var_30, interleave = input_127_interleave_0, values = (s_137_cast_fp16, l_41_cast_fp16))[name = tensor<string, []>("input_127_cast_fp16")];
            tensor<int32, [6]> x_191_pad_0 = const()[name = tensor<string, []>("x_191_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_191_mode_0 = const()[name = tensor<string, []>("x_191_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_31_to_fp16 = const()[name = tensor<string, []>("const_31_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 522]> x_191_cast_fp16 = pad(constant_val = const_31_to_fp16, mode = x_191_mode_0, pad = x_191_pad_0, x = input_127_cast_fp16)[name = tensor<string, []>("x_191_cast_fp16")];
            tensor<string, []> x_193_pad_type_0 = const()[name = tensor<string, []>("x_193_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_193_strides_0 = const()[name = tensor<string, []>("x_193_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_193_pad_0 = const()[name = tensor<string, []>("x_193_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_193_dilations_0 = const()[name = tensor<string, []>("x_193_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_193_groups_0 = const()[name = tensor<string, []>("x_193_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 11]> m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(53115072)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(54141568)))];
            tensor<fp16, [1, 216, 512]> x_193_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16, dilations = x_193_dilations_0, groups = x_193_groups_0, pad = x_193_pad_0, pad_type = x_193_pad_type_0, strides = x_193_strides_0, weight = m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16, x = x_191_cast_fp16)[name = tensor<string, []>("x_193_cast_fp16")];
            tensor<int32, [3]> x_195_begin_0 = const()[name = tensor<string, []>("x_195_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_195_end_0 = const()[name = tensor<string, []>("x_195_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_195_end_mask_0 = const()[name = tensor<string, []>("x_195_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_195_cast_fp16 = slice_by_index(begin = x_195_begin_0, end = x_195_end_0, end_mask = x_195_end_mask_0, x = x_193_cast_fp16)[name = tensor<string, []>("x_195_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(54142080)))];
            tensor<fp16, [1, 108, 512]> var_1136_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_195_cast_fp16)[name = tensor<string, []>("op_1136_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_139_cast_fp16 = sin(x = var_1136_cast_fp16)[name = tensor<string, []>("s_139_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_1140_to_fp16 = const()[name = tensor<string, []>("op_1140_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(54142400)))];
            tensor<fp16, [1, 108, 512]> var_1143_cast_fp16 = mul(x = var_1140_to_fp16, y = s_139_cast_fp16)[name = tensor<string, []>("op_1143_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_1144_cast_fp16 = mul(x = var_1143_cast_fp16, y = s_139_cast_fp16)[name = tensor<string, []>("op_1144_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_141_cast_fp16 = add(x = x_195_cast_fp16, y = var_1144_cast_fp16)[name = tensor<string, []>("s_141_cast_fp16")];
            tensor<int32, [3]> input_129_begin_0 = const()[name = tensor<string, []>("input_129_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_129_end_0 = const()[name = tensor<string, []>("input_129_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_129_end_mask_0 = const()[name = tensor<string, []>("input_129_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_129_cast_fp16 = slice_by_index(begin = input_129_begin_0, end = input_129_end_0, end_mask = input_129_end_mask_0, x = x_193_cast_fp16)[name = tensor<string, []>("input_129_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_67_cast_fp16 = leaky_relu(alpha = var_25, x = input_129_cast_fp16)[name = tensor<string, []>("l_67_cast_fp16")];
            tensor<bool, []> input_131_interleave_0 = const()[name = tensor<string, []>("input_131_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_131_cast_fp16 = concat(axis = var_30, interleave = input_131_interleave_0, values = (s_141_cast_fp16, l_67_cast_fp16))[name = tensor<string, []>("input_131_cast_fp16")];
            tensor<int32, [6]> x_197_pad_0 = const()[name = tensor<string, []>("x_197_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_197_mode_0 = const()[name = tensor<string, []>("x_197_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_32_to_fp16 = const()[name = tensor<string, []>("const_32_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 522]> x_197_cast_fp16 = pad(constant_val = const_32_to_fp16, mode = x_197_mode_0, pad = x_197_pad_0, x = input_131_cast_fp16)[name = tensor<string, []>("x_197_cast_fp16")];
            tensor<string, []> h_31_pad_type_0 = const()[name = tensor<string, []>("h_31_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_31_strides_0 = const()[name = tensor<string, []>("h_31_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_31_pad_0 = const()[name = tensor<string, []>("h_31_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_31_dilations_0 = const()[name = tensor<string, []>("h_31_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_31_groups_0 = const()[name = tensor<string, []>("h_31_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 11]> m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(54142720)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(55169216)))];
            tensor<fp16, [1, 216, 512]> h_31_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_31_dilations_0, groups = h_31_groups_0, pad = h_31_pad_0, pad_type = h_31_pad_type_0, strides = h_31_strides_0, weight = m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16, x = x_197_cast_fp16)[name = tensor<string, []>("h_31_cast_fp16")];
            tensor<fp16, [1, 216, 512]> x_199_cast_fp16 = add(x = x_119_cast_fp16, y = h_31_cast_fp16)[name = tensor<string, []>("x_199_cast_fp16")];
            tensor<int32, [3]> x_201_begin_0 = const()[name = tensor<string, []>("x_201_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_201_end_0 = const()[name = tensor<string, []>("x_201_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_201_end_mask_0 = const()[name = tensor<string, []>("x_201_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_201_cast_fp16 = slice_by_index(begin = x_201_begin_0, end = x_201_end_0, end_mask = x_201_end_mask_0, x = x_199_cast_fp16)[name = tensor<string, []>("x_201_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(55169728)))];
            tensor<fp16, [1, 108, 512]> var_1169_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_201_cast_fp16)[name = tensor<string, []>("op_1169_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_143_cast_fp16 = sin(x = var_1169_cast_fp16)[name = tensor<string, []>("s_143_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_1173_to_fp16 = const()[name = tensor<string, []>("op_1173_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(55170048)))];
            tensor<fp16, [1, 108, 512]> var_1176_cast_fp16 = mul(x = var_1173_to_fp16, y = s_143_cast_fp16)[name = tensor<string, []>("op_1176_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_1177_cast_fp16 = mul(x = var_1176_cast_fp16, y = s_143_cast_fp16)[name = tensor<string, []>("op_1177_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_145_cast_fp16 = add(x = x_201_cast_fp16, y = var_1177_cast_fp16)[name = tensor<string, []>("s_145_cast_fp16")];
            tensor<int32, [3]> input_133_begin_0 = const()[name = tensor<string, []>("input_133_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_133_end_0 = const()[name = tensor<string, []>("input_133_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_133_end_mask_0 = const()[name = tensor<string, []>("input_133_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_133_cast_fp16 = slice_by_index(begin = input_133_begin_0, end = input_133_end_0, end_mask = input_133_end_mask_0, x = x_199_cast_fp16)[name = tensor<string, []>("input_133_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_69_cast_fp16 = leaky_relu(alpha = var_25, x = input_133_cast_fp16)[name = tensor<string, []>("l_69_cast_fp16")];
            tensor<bool, []> input_135_interleave_0 = const()[name = tensor<string, []>("input_135_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_135_cast_fp16 = concat(axis = var_30, interleave = input_135_interleave_0, values = (s_145_cast_fp16, l_69_cast_fp16))[name = tensor<string, []>("input_135_cast_fp16")];
            tensor<int32, [6]> x_203_pad_0 = const()[name = tensor<string, []>("x_203_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 30, 0])];
            tensor<string, []> x_203_mode_0 = const()[name = tensor<string, []>("x_203_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_33_to_fp16 = const()[name = tensor<string, []>("const_33_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 542]> x_203_cast_fp16 = pad(constant_val = const_33_to_fp16, mode = x_203_mode_0, pad = x_203_pad_0, x = input_135_cast_fp16)[name = tensor<string, []>("x_203_cast_fp16")];
            tensor<string, []> x_205_pad_type_0 = const()[name = tensor<string, []>("x_205_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_205_dilations_0 = const()[name = tensor<string, []>("x_205_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_205_strides_0 = const()[name = tensor<string, []>("x_205_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_205_pad_0 = const()[name = tensor<string, []>("x_205_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_205_groups_0 = const()[name = tensor<string, []>("x_205_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 11]> m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(55170368)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(56196864)))];
            tensor<fp16, [1, 216, 512]> x_205_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16, dilations = x_205_dilations_0, groups = x_205_groups_0, pad = x_205_pad_0, pad_type = x_205_pad_type_0, strides = x_205_strides_0, weight = m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16, x = x_203_cast_fp16)[name = tensor<string, []>("x_205_cast_fp16")];
            tensor<int32, [3]> x_207_begin_0 = const()[name = tensor<string, []>("x_207_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_207_end_0 = const()[name = tensor<string, []>("x_207_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_207_end_mask_0 = const()[name = tensor<string, []>("x_207_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_207_cast_fp16 = slice_by_index(begin = x_207_begin_0, end = x_207_end_0, end_mask = x_207_end_mask_0, x = x_205_cast_fp16)[name = tensor<string, []>("x_207_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(56197376)))];
            tensor<fp16, [1, 108, 512]> var_1197_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_207_cast_fp16)[name = tensor<string, []>("op_1197_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_147_cast_fp16 = sin(x = var_1197_cast_fp16)[name = tensor<string, []>("s_147_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_1201_to_fp16 = const()[name = tensor<string, []>("op_1201_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(56197696)))];
            tensor<fp16, [1, 108, 512]> var_1204_cast_fp16 = mul(x = var_1201_to_fp16, y = s_147_cast_fp16)[name = tensor<string, []>("op_1204_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_1205_cast_fp16 = mul(x = var_1204_cast_fp16, y = s_147_cast_fp16)[name = tensor<string, []>("op_1205_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_149_cast_fp16 = add(x = x_207_cast_fp16, y = var_1205_cast_fp16)[name = tensor<string, []>("s_149_cast_fp16")];
            tensor<int32, [3]> input_137_begin_0 = const()[name = tensor<string, []>("input_137_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_137_end_0 = const()[name = tensor<string, []>("input_137_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_137_end_mask_0 = const()[name = tensor<string, []>("input_137_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_137_cast_fp16 = slice_by_index(begin = input_137_begin_0, end = input_137_end_0, end_mask = input_137_end_mask_0, x = x_205_cast_fp16)[name = tensor<string, []>("input_137_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_71_cast_fp16 = leaky_relu(alpha = var_25, x = input_137_cast_fp16)[name = tensor<string, []>("l_71_cast_fp16")];
            tensor<bool, []> input_139_interleave_0 = const()[name = tensor<string, []>("input_139_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_139_cast_fp16 = concat(axis = var_30, interleave = input_139_interleave_0, values = (s_149_cast_fp16, l_71_cast_fp16))[name = tensor<string, []>("input_139_cast_fp16")];
            tensor<int32, [6]> x_209_pad_0 = const()[name = tensor<string, []>("x_209_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_209_mode_0 = const()[name = tensor<string, []>("x_209_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_34_to_fp16 = const()[name = tensor<string, []>("const_34_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 522]> x_209_cast_fp16 = pad(constant_val = const_34_to_fp16, mode = x_209_mode_0, pad = x_209_pad_0, x = input_139_cast_fp16)[name = tensor<string, []>("x_209_cast_fp16")];
            tensor<string, []> h_33_pad_type_0 = const()[name = tensor<string, []>("h_33_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_33_strides_0 = const()[name = tensor<string, []>("h_33_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_33_pad_0 = const()[name = tensor<string, []>("h_33_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_33_dilations_0 = const()[name = tensor<string, []>("h_33_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_33_groups_0 = const()[name = tensor<string, []>("h_33_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 11]> m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(56198016)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(57224512)))];
            tensor<fp16, [1, 216, 512]> h_33_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_33_dilations_0, groups = h_33_groups_0, pad = h_33_pad_0, pad_type = h_33_pad_type_0, strides = h_33_strides_0, weight = m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16, x = x_209_cast_fp16)[name = tensor<string, []>("h_33_cast_fp16")];
            tensor<fp16, [1, 216, 512]> x_211_cast_fp16 = add(x = x_199_cast_fp16, y = h_33_cast_fp16)[name = tensor<string, []>("x_211_cast_fp16")];
            tensor<int32, [3]> x_213_begin_0 = const()[name = tensor<string, []>("x_213_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_213_end_0 = const()[name = tensor<string, []>("x_213_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_213_end_mask_0 = const()[name = tensor<string, []>("x_213_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_213_cast_fp16 = slice_by_index(begin = x_213_begin_0, end = x_213_end_0, end_mask = x_213_end_mask_0, x = x_211_cast_fp16)[name = tensor<string, []>("x_213_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(57225024)))];
            tensor<fp16, [1, 108, 512]> var_1230_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_213_cast_fp16)[name = tensor<string, []>("op_1230_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_151_cast_fp16 = sin(x = var_1230_cast_fp16)[name = tensor<string, []>("s_151_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_1234_to_fp16 = const()[name = tensor<string, []>("op_1234_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(57225344)))];
            tensor<fp16, [1, 108, 512]> var_1237_cast_fp16 = mul(x = var_1234_to_fp16, y = s_151_cast_fp16)[name = tensor<string, []>("op_1237_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_1238_cast_fp16 = mul(x = var_1237_cast_fp16, y = s_151_cast_fp16)[name = tensor<string, []>("op_1238_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_153_cast_fp16 = add(x = x_213_cast_fp16, y = var_1238_cast_fp16)[name = tensor<string, []>("s_153_cast_fp16")];
            tensor<int32, [3]> input_141_begin_0 = const()[name = tensor<string, []>("input_141_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_141_end_0 = const()[name = tensor<string, []>("input_141_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_141_end_mask_0 = const()[name = tensor<string, []>("input_141_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_141_cast_fp16 = slice_by_index(begin = input_141_begin_0, end = input_141_end_0, end_mask = input_141_end_mask_0, x = x_211_cast_fp16)[name = tensor<string, []>("input_141_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_73_cast_fp16 = leaky_relu(alpha = var_25, x = input_141_cast_fp16)[name = tensor<string, []>("l_73_cast_fp16")];
            tensor<bool, []> input_143_interleave_0 = const()[name = tensor<string, []>("input_143_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_143_cast_fp16 = concat(axis = var_30, interleave = input_143_interleave_0, values = (s_153_cast_fp16, l_73_cast_fp16))[name = tensor<string, []>("input_143_cast_fp16")];
            tensor<int32, [6]> x_215_pad_0 = const()[name = tensor<string, []>("x_215_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 50, 0])];
            tensor<string, []> x_215_mode_0 = const()[name = tensor<string, []>("x_215_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_35_to_fp16 = const()[name = tensor<string, []>("const_35_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 562]> x_215_cast_fp16 = pad(constant_val = const_35_to_fp16, mode = x_215_mode_0, pad = x_215_pad_0, x = input_143_cast_fp16)[name = tensor<string, []>("x_215_cast_fp16")];
            tensor<string, []> x_217_pad_type_0 = const()[name = tensor<string, []>("x_217_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_217_dilations_0 = const()[name = tensor<string, []>("x_217_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_217_strides_0 = const()[name = tensor<string, []>("x_217_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_217_pad_0 = const()[name = tensor<string, []>("x_217_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_217_groups_0 = const()[name = tensor<string, []>("x_217_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 11]> m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(57225664)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(58252160)))];
            tensor<fp16, [1, 216, 512]> x_217_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16, dilations = x_217_dilations_0, groups = x_217_groups_0, pad = x_217_pad_0, pad_type = x_217_pad_type_0, strides = x_217_strides_0, weight = m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16, x = x_215_cast_fp16)[name = tensor<string, []>("x_217_cast_fp16")];
            tensor<int32, [3]> x_219_begin_0 = const()[name = tensor<string, []>("x_219_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_219_end_0 = const()[name = tensor<string, []>("x_219_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_219_end_mask_0 = const()[name = tensor<string, []>("x_219_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_219_cast_fp16 = slice_by_index(begin = x_219_begin_0, end = x_219_end_0, end_mask = x_219_end_mask_0, x = x_217_cast_fp16)[name = tensor<string, []>("x_219_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(58252672)))];
            tensor<fp16, [1, 108, 512]> var_1258_cast_fp16 = mul(x = m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_219_cast_fp16)[name = tensor<string, []>("op_1258_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_155_cast_fp16 = sin(x = var_1258_cast_fp16)[name = tensor<string, []>("s_155_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_1262_to_fp16 = const()[name = tensor<string, []>("op_1262_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(58252992)))];
            tensor<fp16, [1, 108, 512]> var_1265_cast_fp16 = mul(x = var_1262_to_fp16, y = s_155_cast_fp16)[name = tensor<string, []>("op_1265_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_1266_cast_fp16 = mul(x = var_1265_cast_fp16, y = s_155_cast_fp16)[name = tensor<string, []>("op_1266_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_157_cast_fp16 = add(x = x_219_cast_fp16, y = var_1266_cast_fp16)[name = tensor<string, []>("s_157_cast_fp16")];
            tensor<int32, [3]> input_145_begin_0 = const()[name = tensor<string, []>("input_145_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_145_end_0 = const()[name = tensor<string, []>("input_145_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_145_end_mask_0 = const()[name = tensor<string, []>("input_145_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_145_cast_fp16 = slice_by_index(begin = input_145_begin_0, end = input_145_end_0, end_mask = input_145_end_mask_0, x = x_217_cast_fp16)[name = tensor<string, []>("input_145_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_75_cast_fp16 = leaky_relu(alpha = var_25, x = input_145_cast_fp16)[name = tensor<string, []>("l_75_cast_fp16")];
            tensor<bool, []> input_147_interleave_0 = const()[name = tensor<string, []>("input_147_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> input_147_cast_fp16 = concat(axis = var_30, interleave = input_147_interleave_0, values = (s_157_cast_fp16, l_75_cast_fp16))[name = tensor<string, []>("input_147_cast_fp16")];
            tensor<int32, [6]> x_221_pad_0 = const()[name = tensor<string, []>("x_221_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_221_mode_0 = const()[name = tensor<string, []>("x_221_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_36_to_fp16 = const()[name = tensor<string, []>("const_36_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 216, 522]> x_221_cast_fp16 = pad(constant_val = const_36_to_fp16, mode = x_221_mode_0, pad = x_221_pad_0, x = input_147_cast_fp16)[name = tensor<string, []>("x_221_cast_fp16")];
            tensor<string, []> h_35_pad_type_0 = const()[name = tensor<string, []>("h_35_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_35_strides_0 = const()[name = tensor<string, []>("h_35_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_35_pad_0 = const()[name = tensor<string, []>("h_35_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_35_dilations_0 = const()[name = tensor<string, []>("h_35_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_35_groups_0 = const()[name = tensor<string, []>("h_35_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [216, 216, 11]> m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [216, 216, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(58253312)))];
            tensor<fp16, [216]> m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [216]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59279808)))];
            tensor<fp16, [1, 216, 512]> h_35_cast_fp16 = conv(bias = m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_35_dilations_0, groups = h_35_groups_0, pad = h_35_pad_0, pad_type = h_35_pad_type_0, strides = h_35_strides_0, weight = m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16, x = x_221_cast_fp16)[name = tensor<string, []>("h_35_cast_fp16")];
            tensor<fp16, [1, 216, 512]> o_7_cast_fp16 = add(x = x_211_cast_fp16, y = h_35_cast_fp16)[name = tensor<string, []>("o_7_cast_fp16")];
            tensor<fp16, [1, 216, 512]> s_161_cast_fp16 = add(x = s_159_cast_fp16, y = o_5_cast_fp16)[name = tensor<string, []>("s_161_cast_fp16")];
            tensor<fp16, [1, 216, 512]> s_163_cast_fp16 = add(x = s_161_cast_fp16, y = o_7_cast_fp16)[name = tensor<string, []>("s_163_cast_fp16")];
            tensor<fp16, []> _inversed_x_223_y_0_to_fp16 = const()[name = tensor<string, []>("_inversed_x_223_y_0_to_fp16"), val = tensor<fp16, []>(0x1.554p-2)];
            tensor<fp16, [1, 216, 512]> _inversed_x_223_cast_fp16 = mul(x = s_163_cast_fp16, y = _inversed_x_223_y_0_to_fp16)[name = tensor<string, []>("_inversed_x_223_cast_fp16")];
            tensor<int32, [3]> x_225_begin_0 = const()[name = tensor<string, []>("x_225_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_225_end_0 = const()[name = tensor<string, []>("x_225_end_0"), val = tensor<int32, [3]>([1, 108, 512])];
            tensor<bool, [3]> x_225_end_mask_0 = const()[name = tensor<string, []>("x_225_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 108, 512]> x_225_cast_fp16 = slice_by_index(begin = x_225_begin_0, end = x_225_end_0, end_mask = x_225_end_mask_0, x = _inversed_x_223_cast_fp16)[name = tensor<string, []>("x_225_cast_fp16")];
            tensor<fp16, [1, 108, 1]> m_decoder_activations_2_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_activations_2_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59280320)))];
            tensor<fp16, [1, 108, 512]> var_1291_cast_fp16 = mul(x = m_decoder_activations_2_snake_act_alpha_to_fp16, y = x_225_cast_fp16)[name = tensor<string, []>("op_1291_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_165_cast_fp16 = sin(x = var_1291_cast_fp16)[name = tensor<string, []>("s_165_cast_fp16")];
            tensor<fp16, [1, 108, 1]> var_1295_to_fp16 = const()[name = tensor<string, []>("op_1295_to_fp16"), val = tensor<fp16, [1, 108, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59280640)))];
            tensor<fp16, [1, 108, 512]> var_1298_cast_fp16 = mul(x = var_1295_to_fp16, y = s_165_cast_fp16)[name = tensor<string, []>("op_1298_cast_fp16")];
            tensor<fp16, [1, 108, 512]> var_1299_cast_fp16 = mul(x = var_1298_cast_fp16, y = s_165_cast_fp16)[name = tensor<string, []>("op_1299_cast_fp16")];
            tensor<fp16, [1, 108, 512]> s_167_cast_fp16 = add(x = x_225_cast_fp16, y = var_1299_cast_fp16)[name = tensor<string, []>("s_167_cast_fp16")];
            tensor<int32, [3]> input_149_begin_0 = const()[name = tensor<string, []>("input_149_begin_0"), val = tensor<int32, [3]>([0, 108, 0])];
            tensor<int32, [3]> input_149_end_0 = const()[name = tensor<string, []>("input_149_end_0"), val = tensor<int32, [3]>([1, 216, 512])];
            tensor<bool, [3]> input_149_end_mask_0 = const()[name = tensor<string, []>("input_149_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 108, 512]> input_149_cast_fp16 = slice_by_index(begin = input_149_begin_0, end = input_149_end_0, end_mask = input_149_end_mask_0, x = _inversed_x_223_cast_fp16)[name = tensor<string, []>("input_149_cast_fp16")];
            tensor<fp16, [1, 108, 512]> l_77_cast_fp16 = leaky_relu(alpha = var_25, x = input_149_cast_fp16)[name = tensor<string, []>("l_77_cast_fp16")];
            tensor<bool, []> x_227_interleave_0 = const()[name = tensor<string, []>("x_227_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 216, 512]> x_227_cast_fp16 = concat(axis = var_30, interleave = x_227_interleave_0, values = (s_167_cast_fp16, l_77_cast_fp16))[name = tensor<string, []>("x_227_cast_fp16")];
            tensor<string, []> y_5_pad_type_0 = const()[name = tensor<string, []>("y_5_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> y_5_strides_0 = const()[name = tensor<string, []>("y_5_strides_0"), val = tensor<int32, [1]>([4])];
            tensor<int32, []> y_5_groups_0 = const()[name = tensor<string, []>("y_5_groups_0"), val = tensor<int32, []>(108)];
            tensor<int32, [2]> y_5_pad_0 = const()[name = tensor<string, []>("y_5_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_5_dilations_0 = const()[name = tensor<string, []>("y_5_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [3]> y_5_has_output_shape_output_shape_0 = const()[name = tensor<string, []>("y_5_has_output_shape_output_shape_0"), val = tensor<int32, [3]>([1, 108, 2052])];
            tensor<fp16, [216, 1, 8]> m_decoder_up_sample_conv_layers_2_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_up_sample_conv_layers_2_weight_to_fp16"), val = tensor<fp16, [216, 1, 8]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59280960)))];
            tensor<fp16, [108]> m_decoder_up_sample_conv_layers_2_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_up_sample_conv_layers_2_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59284480)))];
            tensor<fp16, [1, 108, 2052]> y_5_has_output_shape_cast_fp16 = conv_transpose(bias = m_decoder_up_sample_conv_layers_2_bias_to_fp16, dilations = y_5_dilations_0, groups = y_5_groups_0, output_shape = y_5_has_output_shape_output_shape_0, pad = y_5_pad_0, pad_type = y_5_pad_type_0, strides = y_5_strides_0, weight = m_decoder_up_sample_conv_layers_2_weight_to_fp16, x = x_227_cast_fp16)[name = tensor<string, []>("y_5_has_output_shape_cast_fp16")];
            tensor<int32, [3]> x_229_begin_0 = const()[name = tensor<string, []>("x_229_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_229_end_0 = const()[name = tensor<string, []>("x_229_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> x_229_end_mask_0 = const()[name = tensor<string, []>("x_229_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [1, 108, 2048]> x_229_cast_fp16 = slice_by_index(begin = x_229_begin_0, end = x_229_end_0, end_mask = x_229_end_mask_0, x = y_5_has_output_shape_cast_fp16)[name = tensor<string, []>("x_229_cast_fp16")];
            tensor<int32, [3]> x_231_begin_0 = const()[name = tensor<string, []>("x_231_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_231_end_0 = const()[name = tensor<string, []>("x_231_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_231_end_mask_0 = const()[name = tensor<string, []>("x_231_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_231_cast_fp16 = slice_by_index(begin = x_231_begin_0, end = x_231_end_0, end_mask = x_231_end_mask_0, x = x_229_cast_fp16)[name = tensor<string, []>("x_231_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59284800)))];
            tensor<fp16, [1, 54, 2048]> var_1336_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_231_cast_fp16)[name = tensor<string, []>("op_1336_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_169_cast_fp16 = sin(x = var_1336_cast_fp16)[name = tensor<string, []>("s_169_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1340_to_fp16 = const()[name = tensor<string, []>("op_1340_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59284992)))];
            tensor<fp16, [1, 54, 2048]> var_1343_cast_fp16 = mul(x = var_1340_to_fp16, y = s_169_cast_fp16)[name = tensor<string, []>("op_1343_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1344_cast_fp16 = mul(x = var_1343_cast_fp16, y = s_169_cast_fp16)[name = tensor<string, []>("op_1344_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_171_cast_fp16 = add(x = x_231_cast_fp16, y = var_1344_cast_fp16)[name = tensor<string, []>("s_171_cast_fp16")];
            tensor<int32, [3]> input_151_begin_0 = const()[name = tensor<string, []>("input_151_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_151_end_0 = const()[name = tensor<string, []>("input_151_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_151_end_mask_0 = const()[name = tensor<string, []>("input_151_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_151_cast_fp16 = slice_by_index(begin = input_151_begin_0, end = input_151_end_0, end_mask = input_151_end_mask_0, x = x_229_cast_fp16)[name = tensor<string, []>("input_151_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_79_cast_fp16 = leaky_relu(alpha = var_25, x = input_151_cast_fp16)[name = tensor<string, []>("l_79_cast_fp16")];
            tensor<bool, []> input_153_interleave_0 = const()[name = tensor<string, []>("input_153_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_153_cast_fp16 = concat(axis = var_30, interleave = input_153_interleave_0, values = (s_171_cast_fp16, l_79_cast_fp16))[name = tensor<string, []>("input_153_cast_fp16")];
            tensor<int32, [6]> x_233_pad_0 = const()[name = tensor<string, []>("x_233_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_233_mode_0 = const()[name = tensor<string, []>("x_233_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_37_to_fp16 = const()[name = tensor<string, []>("const_37_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2050]> x_233_cast_fp16 = pad(constant_val = const_37_to_fp16, mode = x_233_mode_0, pad = x_233_pad_0, x = input_153_cast_fp16)[name = tensor<string, []>("x_233_cast_fp16")];
            tensor<string, []> x_235_pad_type_0 = const()[name = tensor<string, []>("x_235_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_235_strides_0 = const()[name = tensor<string, []>("x_235_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_235_pad_0 = const()[name = tensor<string, []>("x_235_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_235_dilations_0 = const()[name = tensor<string, []>("x_235_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_235_groups_0 = const()[name = tensor<string, []>("x_235_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 3]> m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59285184)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59355264)))];
            tensor<fp16, [1, 108, 2048]> x_235_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16, dilations = x_235_dilations_0, groups = x_235_groups_0, pad = x_235_pad_0, pad_type = x_235_pad_type_0, strides = x_235_strides_0, weight = m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16, x = x_233_cast_fp16)[name = tensor<string, []>("x_235_cast_fp16")];
            tensor<int32, [3]> x_237_begin_0 = const()[name = tensor<string, []>("x_237_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_237_end_0 = const()[name = tensor<string, []>("x_237_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_237_end_mask_0 = const()[name = tensor<string, []>("x_237_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_237_cast_fp16 = slice_by_index(begin = x_237_begin_0, end = x_237_end_0, end_mask = x_237_end_mask_0, x = x_235_cast_fp16)[name = tensor<string, []>("x_237_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59355584)))];
            tensor<fp16, [1, 54, 2048]> var_1364_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_237_cast_fp16)[name = tensor<string, []>("op_1364_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_173_cast_fp16 = sin(x = var_1364_cast_fp16)[name = tensor<string, []>("s_173_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1368_to_fp16 = const()[name = tensor<string, []>("op_1368_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59355776)))];
            tensor<fp16, [1, 54, 2048]> var_1371_cast_fp16 = mul(x = var_1368_to_fp16, y = s_173_cast_fp16)[name = tensor<string, []>("op_1371_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1372_cast_fp16 = mul(x = var_1371_cast_fp16, y = s_173_cast_fp16)[name = tensor<string, []>("op_1372_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_175_cast_fp16 = add(x = x_237_cast_fp16, y = var_1372_cast_fp16)[name = tensor<string, []>("s_175_cast_fp16")];
            tensor<int32, [3]> input_155_begin_0 = const()[name = tensor<string, []>("input_155_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_155_end_0 = const()[name = tensor<string, []>("input_155_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_155_end_mask_0 = const()[name = tensor<string, []>("input_155_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_155_cast_fp16 = slice_by_index(begin = input_155_begin_0, end = input_155_end_0, end_mask = input_155_end_mask_0, x = x_235_cast_fp16)[name = tensor<string, []>("input_155_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_81_cast_fp16 = leaky_relu(alpha = var_25, x = input_155_cast_fp16)[name = tensor<string, []>("l_81_cast_fp16")];
            tensor<bool, []> input_157_interleave_0 = const()[name = tensor<string, []>("input_157_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_157_cast_fp16 = concat(axis = var_30, interleave = input_157_interleave_0, values = (s_175_cast_fp16, l_81_cast_fp16))[name = tensor<string, []>("input_157_cast_fp16")];
            tensor<int32, [6]> x_239_pad_0 = const()[name = tensor<string, []>("x_239_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_239_mode_0 = const()[name = tensor<string, []>("x_239_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_38_to_fp16 = const()[name = tensor<string, []>("const_38_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2050]> x_239_cast_fp16 = pad(constant_val = const_38_to_fp16, mode = x_239_mode_0, pad = x_239_pad_0, x = input_157_cast_fp16)[name = tensor<string, []>("x_239_cast_fp16")];
            tensor<string, []> h_37_pad_type_0 = const()[name = tensor<string, []>("h_37_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_37_strides_0 = const()[name = tensor<string, []>("h_37_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_37_pad_0 = const()[name = tensor<string, []>("h_37_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_37_dilations_0 = const()[name = tensor<string, []>("h_37_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_37_groups_0 = const()[name = tensor<string, []>("h_37_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 3]> m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59355968)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59426048)))];
            tensor<fp16, [1, 108, 2048]> h_37_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_37_dilations_0, groups = h_37_groups_0, pad = h_37_pad_0, pad_type = h_37_pad_type_0, strides = h_37_strides_0, weight = m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16, x = x_239_cast_fp16)[name = tensor<string, []>("h_37_cast_fp16")];
            tensor<fp16, [1, 108, 2048]> x_241_cast_fp16 = add(x = x_229_cast_fp16, y = h_37_cast_fp16)[name = tensor<string, []>("x_241_cast_fp16")];
            tensor<int32, [3]> x_243_begin_0 = const()[name = tensor<string, []>("x_243_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_243_end_0 = const()[name = tensor<string, []>("x_243_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_243_end_mask_0 = const()[name = tensor<string, []>("x_243_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_243_cast_fp16 = slice_by_index(begin = x_243_begin_0, end = x_243_end_0, end_mask = x_243_end_mask_0, x = x_241_cast_fp16)[name = tensor<string, []>("x_243_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59426368)))];
            tensor<fp16, [1, 54, 2048]> var_1397_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_243_cast_fp16)[name = tensor<string, []>("op_1397_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_177_cast_fp16 = sin(x = var_1397_cast_fp16)[name = tensor<string, []>("s_177_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1401_to_fp16 = const()[name = tensor<string, []>("op_1401_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59426560)))];
            tensor<fp16, [1, 54, 2048]> var_1404_cast_fp16 = mul(x = var_1401_to_fp16, y = s_177_cast_fp16)[name = tensor<string, []>("op_1404_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1405_cast_fp16 = mul(x = var_1404_cast_fp16, y = s_177_cast_fp16)[name = tensor<string, []>("op_1405_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_179_cast_fp16 = add(x = x_243_cast_fp16, y = var_1405_cast_fp16)[name = tensor<string, []>("s_179_cast_fp16")];
            tensor<int32, [3]> input_159_begin_0 = const()[name = tensor<string, []>("input_159_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_159_end_0 = const()[name = tensor<string, []>("input_159_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_159_end_mask_0 = const()[name = tensor<string, []>("input_159_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_159_cast_fp16 = slice_by_index(begin = input_159_begin_0, end = input_159_end_0, end_mask = input_159_end_mask_0, x = x_241_cast_fp16)[name = tensor<string, []>("input_159_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_83_cast_fp16 = leaky_relu(alpha = var_25, x = input_159_cast_fp16)[name = tensor<string, []>("l_83_cast_fp16")];
            tensor<bool, []> input_161_interleave_0 = const()[name = tensor<string, []>("input_161_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_161_cast_fp16 = concat(axis = var_30, interleave = input_161_interleave_0, values = (s_179_cast_fp16, l_83_cast_fp16))[name = tensor<string, []>("input_161_cast_fp16")];
            tensor<int32, [6]> x_245_pad_0 = const()[name = tensor<string, []>("x_245_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_245_mode_0 = const()[name = tensor<string, []>("x_245_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_39_to_fp16 = const()[name = tensor<string, []>("const_39_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2054]> x_245_cast_fp16 = pad(constant_val = const_39_to_fp16, mode = x_245_mode_0, pad = x_245_pad_0, x = input_161_cast_fp16)[name = tensor<string, []>("x_245_cast_fp16")];
            tensor<string, []> x_247_pad_type_0 = const()[name = tensor<string, []>("x_247_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_247_dilations_0 = const()[name = tensor<string, []>("x_247_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_247_strides_0 = const()[name = tensor<string, []>("x_247_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_247_pad_0 = const()[name = tensor<string, []>("x_247_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_247_groups_0 = const()[name = tensor<string, []>("x_247_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 3]> m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59426752)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59496832)))];
            tensor<fp16, [1, 108, 2048]> x_247_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16, dilations = x_247_dilations_0, groups = x_247_groups_0, pad = x_247_pad_0, pad_type = x_247_pad_type_0, strides = x_247_strides_0, weight = m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16, x = x_245_cast_fp16)[name = tensor<string, []>("x_247_cast_fp16")];
            tensor<int32, [3]> x_249_begin_0 = const()[name = tensor<string, []>("x_249_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_249_end_0 = const()[name = tensor<string, []>("x_249_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_249_end_mask_0 = const()[name = tensor<string, []>("x_249_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_249_cast_fp16 = slice_by_index(begin = x_249_begin_0, end = x_249_end_0, end_mask = x_249_end_mask_0, x = x_247_cast_fp16)[name = tensor<string, []>("x_249_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59497152)))];
            tensor<fp16, [1, 54, 2048]> var_1425_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_249_cast_fp16)[name = tensor<string, []>("op_1425_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_181_cast_fp16 = sin(x = var_1425_cast_fp16)[name = tensor<string, []>("s_181_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1429_to_fp16 = const()[name = tensor<string, []>("op_1429_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59497344)))];
            tensor<fp16, [1, 54, 2048]> var_1432_cast_fp16 = mul(x = var_1429_to_fp16, y = s_181_cast_fp16)[name = tensor<string, []>("op_1432_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1433_cast_fp16 = mul(x = var_1432_cast_fp16, y = s_181_cast_fp16)[name = tensor<string, []>("op_1433_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_183_cast_fp16 = add(x = x_249_cast_fp16, y = var_1433_cast_fp16)[name = tensor<string, []>("s_183_cast_fp16")];
            tensor<int32, [3]> input_163_begin_0 = const()[name = tensor<string, []>("input_163_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_163_end_0 = const()[name = tensor<string, []>("input_163_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_163_end_mask_0 = const()[name = tensor<string, []>("input_163_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_163_cast_fp16 = slice_by_index(begin = input_163_begin_0, end = input_163_end_0, end_mask = input_163_end_mask_0, x = x_247_cast_fp16)[name = tensor<string, []>("input_163_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_85_cast_fp16 = leaky_relu(alpha = var_25, x = input_163_cast_fp16)[name = tensor<string, []>("l_85_cast_fp16")];
            tensor<bool, []> input_165_interleave_0 = const()[name = tensor<string, []>("input_165_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_165_cast_fp16 = concat(axis = var_30, interleave = input_165_interleave_0, values = (s_183_cast_fp16, l_85_cast_fp16))[name = tensor<string, []>("input_165_cast_fp16")];
            tensor<int32, [6]> x_251_pad_0 = const()[name = tensor<string, []>("x_251_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_251_mode_0 = const()[name = tensor<string, []>("x_251_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_40_to_fp16 = const()[name = tensor<string, []>("const_40_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2050]> x_251_cast_fp16 = pad(constant_val = const_40_to_fp16, mode = x_251_mode_0, pad = x_251_pad_0, x = input_165_cast_fp16)[name = tensor<string, []>("x_251_cast_fp16")];
            tensor<string, []> h_39_pad_type_0 = const()[name = tensor<string, []>("h_39_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_39_strides_0 = const()[name = tensor<string, []>("h_39_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_39_pad_0 = const()[name = tensor<string, []>("h_39_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_39_dilations_0 = const()[name = tensor<string, []>("h_39_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_39_groups_0 = const()[name = tensor<string, []>("h_39_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 3]> m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59497536)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59567616)))];
            tensor<fp16, [1, 108, 2048]> h_39_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_39_dilations_0, groups = h_39_groups_0, pad = h_39_pad_0, pad_type = h_39_pad_type_0, strides = h_39_strides_0, weight = m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16, x = x_251_cast_fp16)[name = tensor<string, []>("h_39_cast_fp16")];
            tensor<fp16, [1, 108, 2048]> x_253_cast_fp16 = add(x = x_241_cast_fp16, y = h_39_cast_fp16)[name = tensor<string, []>("x_253_cast_fp16")];
            tensor<int32, [3]> x_255_begin_0 = const()[name = tensor<string, []>("x_255_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_255_end_0 = const()[name = tensor<string, []>("x_255_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_255_end_mask_0 = const()[name = tensor<string, []>("x_255_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_255_cast_fp16 = slice_by_index(begin = x_255_begin_0, end = x_255_end_0, end_mask = x_255_end_mask_0, x = x_253_cast_fp16)[name = tensor<string, []>("x_255_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59567936)))];
            tensor<fp16, [1, 54, 2048]> var_1458_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_255_cast_fp16)[name = tensor<string, []>("op_1458_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_185_cast_fp16 = sin(x = var_1458_cast_fp16)[name = tensor<string, []>("s_185_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1462_to_fp16 = const()[name = tensor<string, []>("op_1462_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59568128)))];
            tensor<fp16, [1, 54, 2048]> var_1465_cast_fp16 = mul(x = var_1462_to_fp16, y = s_185_cast_fp16)[name = tensor<string, []>("op_1465_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1466_cast_fp16 = mul(x = var_1465_cast_fp16, y = s_185_cast_fp16)[name = tensor<string, []>("op_1466_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_187_cast_fp16 = add(x = x_255_cast_fp16, y = var_1466_cast_fp16)[name = tensor<string, []>("s_187_cast_fp16")];
            tensor<int32, [3]> input_167_begin_0 = const()[name = tensor<string, []>("input_167_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_167_end_0 = const()[name = tensor<string, []>("input_167_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_167_end_mask_0 = const()[name = tensor<string, []>("input_167_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_167_cast_fp16 = slice_by_index(begin = input_167_begin_0, end = input_167_end_0, end_mask = input_167_end_mask_0, x = x_253_cast_fp16)[name = tensor<string, []>("input_167_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_87_cast_fp16 = leaky_relu(alpha = var_25, x = input_167_cast_fp16)[name = tensor<string, []>("l_87_cast_fp16")];
            tensor<bool, []> input_169_interleave_0 = const()[name = tensor<string, []>("input_169_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_169_cast_fp16 = concat(axis = var_30, interleave = input_169_interleave_0, values = (s_187_cast_fp16, l_87_cast_fp16))[name = tensor<string, []>("input_169_cast_fp16")];
            tensor<int32, [6]> x_257_pad_0 = const()[name = tensor<string, []>("x_257_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_257_mode_0 = const()[name = tensor<string, []>("x_257_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_41_to_fp16 = const()[name = tensor<string, []>("const_41_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2058]> x_257_cast_fp16 = pad(constant_val = const_41_to_fp16, mode = x_257_mode_0, pad = x_257_pad_0, x = input_169_cast_fp16)[name = tensor<string, []>("x_257_cast_fp16")];
            tensor<string, []> x_259_pad_type_0 = const()[name = tensor<string, []>("x_259_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_259_dilations_0 = const()[name = tensor<string, []>("x_259_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_259_strides_0 = const()[name = tensor<string, []>("x_259_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_259_pad_0 = const()[name = tensor<string, []>("x_259_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_259_groups_0 = const()[name = tensor<string, []>("x_259_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 3]> m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59568320)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59638400)))];
            tensor<fp16, [1, 108, 2048]> x_259_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16, dilations = x_259_dilations_0, groups = x_259_groups_0, pad = x_259_pad_0, pad_type = x_259_pad_type_0, strides = x_259_strides_0, weight = m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16, x = x_257_cast_fp16)[name = tensor<string, []>("x_259_cast_fp16")];
            tensor<int32, [3]> x_261_begin_0 = const()[name = tensor<string, []>("x_261_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_261_end_0 = const()[name = tensor<string, []>("x_261_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_261_end_mask_0 = const()[name = tensor<string, []>("x_261_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_261_cast_fp16 = slice_by_index(begin = x_261_begin_0, end = x_261_end_0, end_mask = x_261_end_mask_0, x = x_259_cast_fp16)[name = tensor<string, []>("x_261_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59638720)))];
            tensor<fp16, [1, 54, 2048]> var_1486_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_261_cast_fp16)[name = tensor<string, []>("op_1486_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_189_cast_fp16 = sin(x = var_1486_cast_fp16)[name = tensor<string, []>("s_189_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1490_to_fp16 = const()[name = tensor<string, []>("op_1490_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59638912)))];
            tensor<fp16, [1, 54, 2048]> var_1493_cast_fp16 = mul(x = var_1490_to_fp16, y = s_189_cast_fp16)[name = tensor<string, []>("op_1493_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1494_cast_fp16 = mul(x = var_1493_cast_fp16, y = s_189_cast_fp16)[name = tensor<string, []>("op_1494_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_191_cast_fp16 = add(x = x_261_cast_fp16, y = var_1494_cast_fp16)[name = tensor<string, []>("s_191_cast_fp16")];
            tensor<int32, [3]> input_171_begin_0 = const()[name = tensor<string, []>("input_171_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_171_end_0 = const()[name = tensor<string, []>("input_171_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_171_end_mask_0 = const()[name = tensor<string, []>("input_171_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_171_cast_fp16 = slice_by_index(begin = input_171_begin_0, end = input_171_end_0, end_mask = input_171_end_mask_0, x = x_259_cast_fp16)[name = tensor<string, []>("input_171_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_89_cast_fp16 = leaky_relu(alpha = var_25, x = input_171_cast_fp16)[name = tensor<string, []>("l_89_cast_fp16")];
            tensor<bool, []> input_173_interleave_0 = const()[name = tensor<string, []>("input_173_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_173_cast_fp16 = concat(axis = var_30, interleave = input_173_interleave_0, values = (s_191_cast_fp16, l_89_cast_fp16))[name = tensor<string, []>("input_173_cast_fp16")];
            tensor<int32, [6]> x_263_pad_0 = const()[name = tensor<string, []>("x_263_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_263_mode_0 = const()[name = tensor<string, []>("x_263_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_42_to_fp16 = const()[name = tensor<string, []>("const_42_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2050]> x_263_cast_fp16 = pad(constant_val = const_42_to_fp16, mode = x_263_mode_0, pad = x_263_pad_0, x = input_173_cast_fp16)[name = tensor<string, []>("x_263_cast_fp16")];
            tensor<string, []> h_41_pad_type_0 = const()[name = tensor<string, []>("h_41_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_41_strides_0 = const()[name = tensor<string, []>("h_41_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_41_pad_0 = const()[name = tensor<string, []>("h_41_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_41_dilations_0 = const()[name = tensor<string, []>("h_41_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_41_groups_0 = const()[name = tensor<string, []>("h_41_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 3]> m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59639104)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59709184)))];
            tensor<fp16, [1, 108, 2048]> h_41_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_41_dilations_0, groups = h_41_groups_0, pad = h_41_pad_0, pad_type = h_41_pad_type_0, strides = h_41_strides_0, weight = m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16, x = x_263_cast_fp16)[name = tensor<string, []>("h_41_cast_fp16")];
            tensor<fp16, [1, 108, 2048]> s_241_cast_fp16 = add(x = x_253_cast_fp16, y = h_41_cast_fp16)[name = tensor<string, []>("s_241_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59709504)))];
            tensor<fp16, [1, 54, 2048]> var_1525_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_231_cast_fp16)[name = tensor<string, []>("op_1525_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_193_cast_fp16 = sin(x = var_1525_cast_fp16)[name = tensor<string, []>("s_193_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1529_to_fp16 = const()[name = tensor<string, []>("op_1529_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59709696)))];
            tensor<fp16, [1, 54, 2048]> var_1532_cast_fp16 = mul(x = var_1529_to_fp16, y = s_193_cast_fp16)[name = tensor<string, []>("op_1532_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1533_cast_fp16 = mul(x = var_1532_cast_fp16, y = s_193_cast_fp16)[name = tensor<string, []>("op_1533_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_195_cast_fp16 = add(x = x_231_cast_fp16, y = var_1533_cast_fp16)[name = tensor<string, []>("s_195_cast_fp16")];
            tensor<bool, []> input_177_interleave_0 = const()[name = tensor<string, []>("input_177_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_177_cast_fp16 = concat(axis = var_30, interleave = input_177_interleave_0, values = (s_195_cast_fp16, l_79_cast_fp16))[name = tensor<string, []>("input_177_cast_fp16")];
            tensor<int32, [6]> x_267_pad_0 = const()[name = tensor<string, []>("x_267_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_267_mode_0 = const()[name = tensor<string, []>("x_267_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_43_to_fp16 = const()[name = tensor<string, []>("const_43_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2054]> x_267_cast_fp16 = pad(constant_val = const_43_to_fp16, mode = x_267_mode_0, pad = x_267_pad_0, x = input_177_cast_fp16)[name = tensor<string, []>("x_267_cast_fp16")];
            tensor<string, []> x_269_pad_type_0 = const()[name = tensor<string, []>("x_269_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_269_strides_0 = const()[name = tensor<string, []>("x_269_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_269_pad_0 = const()[name = tensor<string, []>("x_269_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_269_dilations_0 = const()[name = tensor<string, []>("x_269_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_269_groups_0 = const()[name = tensor<string, []>("x_269_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 7]> m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59709888)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59873280)))];
            tensor<fp16, [1, 108, 2048]> x_269_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16, dilations = x_269_dilations_0, groups = x_269_groups_0, pad = x_269_pad_0, pad_type = x_269_pad_type_0, strides = x_269_strides_0, weight = m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16, x = x_267_cast_fp16)[name = tensor<string, []>("x_269_cast_fp16")];
            tensor<int32, [3]> x_271_begin_0 = const()[name = tensor<string, []>("x_271_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_271_end_0 = const()[name = tensor<string, []>("x_271_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_271_end_mask_0 = const()[name = tensor<string, []>("x_271_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_271_cast_fp16 = slice_by_index(begin = x_271_begin_0, end = x_271_end_0, end_mask = x_271_end_mask_0, x = x_269_cast_fp16)[name = tensor<string, []>("x_271_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59873600)))];
            tensor<fp16, [1, 54, 2048]> var_1553_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_271_cast_fp16)[name = tensor<string, []>("op_1553_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_197_cast_fp16 = sin(x = var_1553_cast_fp16)[name = tensor<string, []>("s_197_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1557_to_fp16 = const()[name = tensor<string, []>("op_1557_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59873792)))];
            tensor<fp16, [1, 54, 2048]> var_1560_cast_fp16 = mul(x = var_1557_to_fp16, y = s_197_cast_fp16)[name = tensor<string, []>("op_1560_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1561_cast_fp16 = mul(x = var_1560_cast_fp16, y = s_197_cast_fp16)[name = tensor<string, []>("op_1561_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_199_cast_fp16 = add(x = x_271_cast_fp16, y = var_1561_cast_fp16)[name = tensor<string, []>("s_199_cast_fp16")];
            tensor<int32, [3]> input_179_begin_0 = const()[name = tensor<string, []>("input_179_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_179_end_0 = const()[name = tensor<string, []>("input_179_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_179_end_mask_0 = const()[name = tensor<string, []>("input_179_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_179_cast_fp16 = slice_by_index(begin = input_179_begin_0, end = input_179_end_0, end_mask = input_179_end_mask_0, x = x_269_cast_fp16)[name = tensor<string, []>("input_179_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_93_cast_fp16 = leaky_relu(alpha = var_25, x = input_179_cast_fp16)[name = tensor<string, []>("l_93_cast_fp16")];
            tensor<bool, []> input_181_interleave_0 = const()[name = tensor<string, []>("input_181_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_181_cast_fp16 = concat(axis = var_30, interleave = input_181_interleave_0, values = (s_199_cast_fp16, l_93_cast_fp16))[name = tensor<string, []>("input_181_cast_fp16")];
            tensor<int32, [6]> x_273_pad_0 = const()[name = tensor<string, []>("x_273_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_273_mode_0 = const()[name = tensor<string, []>("x_273_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_44_to_fp16 = const()[name = tensor<string, []>("const_44_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2054]> x_273_cast_fp16 = pad(constant_val = const_44_to_fp16, mode = x_273_mode_0, pad = x_273_pad_0, x = input_181_cast_fp16)[name = tensor<string, []>("x_273_cast_fp16")];
            tensor<string, []> h_43_pad_type_0 = const()[name = tensor<string, []>("h_43_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_43_strides_0 = const()[name = tensor<string, []>("h_43_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_43_pad_0 = const()[name = tensor<string, []>("h_43_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_43_dilations_0 = const()[name = tensor<string, []>("h_43_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_43_groups_0 = const()[name = tensor<string, []>("h_43_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 7]> m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59873984)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60037376)))];
            tensor<fp16, [1, 108, 2048]> h_43_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_43_dilations_0, groups = h_43_groups_0, pad = h_43_pad_0, pad_type = h_43_pad_type_0, strides = h_43_strides_0, weight = m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16, x = x_273_cast_fp16)[name = tensor<string, []>("h_43_cast_fp16")];
            tensor<fp16, [1, 108, 2048]> x_275_cast_fp16 = add(x = x_229_cast_fp16, y = h_43_cast_fp16)[name = tensor<string, []>("x_275_cast_fp16")];
            tensor<int32, [3]> x_277_begin_0 = const()[name = tensor<string, []>("x_277_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_277_end_0 = const()[name = tensor<string, []>("x_277_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_277_end_mask_0 = const()[name = tensor<string, []>("x_277_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_277_cast_fp16 = slice_by_index(begin = x_277_begin_0, end = x_277_end_0, end_mask = x_277_end_mask_0, x = x_275_cast_fp16)[name = tensor<string, []>("x_277_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60037696)))];
            tensor<fp16, [1, 54, 2048]> var_1586_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_277_cast_fp16)[name = tensor<string, []>("op_1586_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_201_cast_fp16 = sin(x = var_1586_cast_fp16)[name = tensor<string, []>("s_201_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1590_to_fp16 = const()[name = tensor<string, []>("op_1590_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60037888)))];
            tensor<fp16, [1, 54, 2048]> var_1593_cast_fp16 = mul(x = var_1590_to_fp16, y = s_201_cast_fp16)[name = tensor<string, []>("op_1593_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1594_cast_fp16 = mul(x = var_1593_cast_fp16, y = s_201_cast_fp16)[name = tensor<string, []>("op_1594_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_203_cast_fp16 = add(x = x_277_cast_fp16, y = var_1594_cast_fp16)[name = tensor<string, []>("s_203_cast_fp16")];
            tensor<int32, [3]> input_183_begin_0 = const()[name = tensor<string, []>("input_183_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_183_end_0 = const()[name = tensor<string, []>("input_183_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_183_end_mask_0 = const()[name = tensor<string, []>("input_183_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_183_cast_fp16 = slice_by_index(begin = input_183_begin_0, end = input_183_end_0, end_mask = input_183_end_mask_0, x = x_275_cast_fp16)[name = tensor<string, []>("input_183_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_95_cast_fp16 = leaky_relu(alpha = var_25, x = input_183_cast_fp16)[name = tensor<string, []>("l_95_cast_fp16")];
            tensor<bool, []> input_185_interleave_0 = const()[name = tensor<string, []>("input_185_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_185_cast_fp16 = concat(axis = var_30, interleave = input_185_interleave_0, values = (s_203_cast_fp16, l_95_cast_fp16))[name = tensor<string, []>("input_185_cast_fp16")];
            tensor<int32, [6]> x_279_pad_0 = const()[name = tensor<string, []>("x_279_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 18, 0])];
            tensor<string, []> x_279_mode_0 = const()[name = tensor<string, []>("x_279_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_45_to_fp16 = const()[name = tensor<string, []>("const_45_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2066]> x_279_cast_fp16 = pad(constant_val = const_45_to_fp16, mode = x_279_mode_0, pad = x_279_pad_0, x = input_185_cast_fp16)[name = tensor<string, []>("x_279_cast_fp16")];
            tensor<string, []> x_281_pad_type_0 = const()[name = tensor<string, []>("x_281_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_281_dilations_0 = const()[name = tensor<string, []>("x_281_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_281_strides_0 = const()[name = tensor<string, []>("x_281_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_281_pad_0 = const()[name = tensor<string, []>("x_281_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_281_groups_0 = const()[name = tensor<string, []>("x_281_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 7]> m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60038080)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60201472)))];
            tensor<fp16, [1, 108, 2048]> x_281_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16, dilations = x_281_dilations_0, groups = x_281_groups_0, pad = x_281_pad_0, pad_type = x_281_pad_type_0, strides = x_281_strides_0, weight = m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16, x = x_279_cast_fp16)[name = tensor<string, []>("x_281_cast_fp16")];
            tensor<int32, [3]> x_283_begin_0 = const()[name = tensor<string, []>("x_283_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_283_end_0 = const()[name = tensor<string, []>("x_283_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_283_end_mask_0 = const()[name = tensor<string, []>("x_283_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_283_cast_fp16 = slice_by_index(begin = x_283_begin_0, end = x_283_end_0, end_mask = x_283_end_mask_0, x = x_281_cast_fp16)[name = tensor<string, []>("x_283_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60201792)))];
            tensor<fp16, [1, 54, 2048]> var_1614_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_283_cast_fp16)[name = tensor<string, []>("op_1614_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_205_cast_fp16 = sin(x = var_1614_cast_fp16)[name = tensor<string, []>("s_205_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1618_to_fp16 = const()[name = tensor<string, []>("op_1618_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60201984)))];
            tensor<fp16, [1, 54, 2048]> var_1621_cast_fp16 = mul(x = var_1618_to_fp16, y = s_205_cast_fp16)[name = tensor<string, []>("op_1621_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1622_cast_fp16 = mul(x = var_1621_cast_fp16, y = s_205_cast_fp16)[name = tensor<string, []>("op_1622_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_207_cast_fp16 = add(x = x_283_cast_fp16, y = var_1622_cast_fp16)[name = tensor<string, []>("s_207_cast_fp16")];
            tensor<int32, [3]> input_187_begin_0 = const()[name = tensor<string, []>("input_187_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_187_end_0 = const()[name = tensor<string, []>("input_187_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_187_end_mask_0 = const()[name = tensor<string, []>("input_187_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_187_cast_fp16 = slice_by_index(begin = input_187_begin_0, end = input_187_end_0, end_mask = input_187_end_mask_0, x = x_281_cast_fp16)[name = tensor<string, []>("input_187_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_97_cast_fp16 = leaky_relu(alpha = var_25, x = input_187_cast_fp16)[name = tensor<string, []>("l_97_cast_fp16")];
            tensor<bool, []> input_189_interleave_0 = const()[name = tensor<string, []>("input_189_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_189_cast_fp16 = concat(axis = var_30, interleave = input_189_interleave_0, values = (s_207_cast_fp16, l_97_cast_fp16))[name = tensor<string, []>("input_189_cast_fp16")];
            tensor<int32, [6]> x_285_pad_0 = const()[name = tensor<string, []>("x_285_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_285_mode_0 = const()[name = tensor<string, []>("x_285_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_46_to_fp16 = const()[name = tensor<string, []>("const_46_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2054]> x_285_cast_fp16 = pad(constant_val = const_46_to_fp16, mode = x_285_mode_0, pad = x_285_pad_0, x = input_189_cast_fp16)[name = tensor<string, []>("x_285_cast_fp16")];
            tensor<string, []> h_45_pad_type_0 = const()[name = tensor<string, []>("h_45_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_45_strides_0 = const()[name = tensor<string, []>("h_45_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_45_pad_0 = const()[name = tensor<string, []>("h_45_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_45_dilations_0 = const()[name = tensor<string, []>("h_45_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_45_groups_0 = const()[name = tensor<string, []>("h_45_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 7]> m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60202176)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60365568)))];
            tensor<fp16, [1, 108, 2048]> h_45_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_45_dilations_0, groups = h_45_groups_0, pad = h_45_pad_0, pad_type = h_45_pad_type_0, strides = h_45_strides_0, weight = m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16, x = x_285_cast_fp16)[name = tensor<string, []>("h_45_cast_fp16")];
            tensor<fp16, [1, 108, 2048]> x_287_cast_fp16 = add(x = x_275_cast_fp16, y = h_45_cast_fp16)[name = tensor<string, []>("x_287_cast_fp16")];
            tensor<int32, [3]> x_289_begin_0 = const()[name = tensor<string, []>("x_289_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_289_end_0 = const()[name = tensor<string, []>("x_289_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_289_end_mask_0 = const()[name = tensor<string, []>("x_289_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_289_cast_fp16 = slice_by_index(begin = x_289_begin_0, end = x_289_end_0, end_mask = x_289_end_mask_0, x = x_287_cast_fp16)[name = tensor<string, []>("x_289_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60365888)))];
            tensor<fp16, [1, 54, 2048]> var_1647_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_289_cast_fp16)[name = tensor<string, []>("op_1647_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_209_cast_fp16 = sin(x = var_1647_cast_fp16)[name = tensor<string, []>("s_209_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1651_to_fp16 = const()[name = tensor<string, []>("op_1651_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60366080)))];
            tensor<fp16, [1, 54, 2048]> var_1654_cast_fp16 = mul(x = var_1651_to_fp16, y = s_209_cast_fp16)[name = tensor<string, []>("op_1654_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1655_cast_fp16 = mul(x = var_1654_cast_fp16, y = s_209_cast_fp16)[name = tensor<string, []>("op_1655_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_211_cast_fp16 = add(x = x_289_cast_fp16, y = var_1655_cast_fp16)[name = tensor<string, []>("s_211_cast_fp16")];
            tensor<int32, [3]> input_191_begin_0 = const()[name = tensor<string, []>("input_191_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_191_end_0 = const()[name = tensor<string, []>("input_191_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_191_end_mask_0 = const()[name = tensor<string, []>("input_191_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_191_cast_fp16 = slice_by_index(begin = input_191_begin_0, end = input_191_end_0, end_mask = input_191_end_mask_0, x = x_287_cast_fp16)[name = tensor<string, []>("input_191_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_99_cast_fp16 = leaky_relu(alpha = var_25, x = input_191_cast_fp16)[name = tensor<string, []>("l_99_cast_fp16")];
            tensor<bool, []> input_193_interleave_0 = const()[name = tensor<string, []>("input_193_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_193_cast_fp16 = concat(axis = var_30, interleave = input_193_interleave_0, values = (s_211_cast_fp16, l_99_cast_fp16))[name = tensor<string, []>("input_193_cast_fp16")];
            tensor<int32, [6]> x_291_pad_0 = const()[name = tensor<string, []>("x_291_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 30, 0])];
            tensor<string, []> x_291_mode_0 = const()[name = tensor<string, []>("x_291_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_47_to_fp16 = const()[name = tensor<string, []>("const_47_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2078]> x_291_cast_fp16 = pad(constant_val = const_47_to_fp16, mode = x_291_mode_0, pad = x_291_pad_0, x = input_193_cast_fp16)[name = tensor<string, []>("x_291_cast_fp16")];
            tensor<string, []> x_293_pad_type_0 = const()[name = tensor<string, []>("x_293_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_293_dilations_0 = const()[name = tensor<string, []>("x_293_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_293_strides_0 = const()[name = tensor<string, []>("x_293_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_293_pad_0 = const()[name = tensor<string, []>("x_293_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_293_groups_0 = const()[name = tensor<string, []>("x_293_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 7]> m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60366272)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60529664)))];
            tensor<fp16, [1, 108, 2048]> x_293_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16, dilations = x_293_dilations_0, groups = x_293_groups_0, pad = x_293_pad_0, pad_type = x_293_pad_type_0, strides = x_293_strides_0, weight = m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16, x = x_291_cast_fp16)[name = tensor<string, []>("x_293_cast_fp16")];
            tensor<int32, [3]> x_295_begin_0 = const()[name = tensor<string, []>("x_295_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_295_end_0 = const()[name = tensor<string, []>("x_295_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_295_end_mask_0 = const()[name = tensor<string, []>("x_295_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_295_cast_fp16 = slice_by_index(begin = x_295_begin_0, end = x_295_end_0, end_mask = x_295_end_mask_0, x = x_293_cast_fp16)[name = tensor<string, []>("x_295_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60529984)))];
            tensor<fp16, [1, 54, 2048]> var_1675_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_295_cast_fp16)[name = tensor<string, []>("op_1675_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_213_cast_fp16 = sin(x = var_1675_cast_fp16)[name = tensor<string, []>("s_213_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1679_to_fp16 = const()[name = tensor<string, []>("op_1679_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60530176)))];
            tensor<fp16, [1, 54, 2048]> var_1682_cast_fp16 = mul(x = var_1679_to_fp16, y = s_213_cast_fp16)[name = tensor<string, []>("op_1682_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1683_cast_fp16 = mul(x = var_1682_cast_fp16, y = s_213_cast_fp16)[name = tensor<string, []>("op_1683_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_215_cast_fp16 = add(x = x_295_cast_fp16, y = var_1683_cast_fp16)[name = tensor<string, []>("s_215_cast_fp16")];
            tensor<int32, [3]> input_195_begin_0 = const()[name = tensor<string, []>("input_195_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_195_end_0 = const()[name = tensor<string, []>("input_195_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_195_end_mask_0 = const()[name = tensor<string, []>("input_195_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_195_cast_fp16 = slice_by_index(begin = input_195_begin_0, end = input_195_end_0, end_mask = input_195_end_mask_0, x = x_293_cast_fp16)[name = tensor<string, []>("input_195_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_101_cast_fp16 = leaky_relu(alpha = var_25, x = input_195_cast_fp16)[name = tensor<string, []>("l_101_cast_fp16")];
            tensor<bool, []> input_197_interleave_0 = const()[name = tensor<string, []>("input_197_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_197_cast_fp16 = concat(axis = var_30, interleave = input_197_interleave_0, values = (s_215_cast_fp16, l_101_cast_fp16))[name = tensor<string, []>("input_197_cast_fp16")];
            tensor<int32, [6]> x_297_pad_0 = const()[name = tensor<string, []>("x_297_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_297_mode_0 = const()[name = tensor<string, []>("x_297_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_48_to_fp16 = const()[name = tensor<string, []>("const_48_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2054]> x_297_cast_fp16 = pad(constant_val = const_48_to_fp16, mode = x_297_mode_0, pad = x_297_pad_0, x = input_197_cast_fp16)[name = tensor<string, []>("x_297_cast_fp16")];
            tensor<string, []> h_47_pad_type_0 = const()[name = tensor<string, []>("h_47_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_47_strides_0 = const()[name = tensor<string, []>("h_47_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_47_pad_0 = const()[name = tensor<string, []>("h_47_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_47_dilations_0 = const()[name = tensor<string, []>("h_47_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_47_groups_0 = const()[name = tensor<string, []>("h_47_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 7]> m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60530368)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60693760)))];
            tensor<fp16, [1, 108, 2048]> h_47_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_47_dilations_0, groups = h_47_groups_0, pad = h_47_pad_0, pad_type = h_47_pad_type_0, strides = h_47_strides_0, weight = m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16, x = x_297_cast_fp16)[name = tensor<string, []>("h_47_cast_fp16")];
            tensor<fp16, [1, 108, 2048]> o_9_cast_fp16 = add(x = x_287_cast_fp16, y = h_47_cast_fp16)[name = tensor<string, []>("o_9_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60694080)))];
            tensor<fp16, [1, 54, 2048]> var_1714_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_231_cast_fp16)[name = tensor<string, []>("op_1714_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_217_cast_fp16 = sin(x = var_1714_cast_fp16)[name = tensor<string, []>("s_217_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1718_to_fp16 = const()[name = tensor<string, []>("op_1718_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60694272)))];
            tensor<fp16, [1, 54, 2048]> var_1721_cast_fp16 = mul(x = var_1718_to_fp16, y = s_217_cast_fp16)[name = tensor<string, []>("op_1721_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1722_cast_fp16 = mul(x = var_1721_cast_fp16, y = s_217_cast_fp16)[name = tensor<string, []>("op_1722_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_219_cast_fp16 = add(x = x_231_cast_fp16, y = var_1722_cast_fp16)[name = tensor<string, []>("s_219_cast_fp16")];
            tensor<bool, []> input_201_interleave_0 = const()[name = tensor<string, []>("input_201_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_201_cast_fp16 = concat(axis = var_30, interleave = input_201_interleave_0, values = (s_219_cast_fp16, l_79_cast_fp16))[name = tensor<string, []>("input_201_cast_fp16")];
            tensor<int32, [6]> x_301_pad_0 = const()[name = tensor<string, []>("x_301_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_301_mode_0 = const()[name = tensor<string, []>("x_301_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_49_to_fp16 = const()[name = tensor<string, []>("const_49_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2058]> x_301_cast_fp16 = pad(constant_val = const_49_to_fp16, mode = x_301_mode_0, pad = x_301_pad_0, x = input_201_cast_fp16)[name = tensor<string, []>("x_301_cast_fp16")];
            tensor<string, []> x_303_pad_type_0 = const()[name = tensor<string, []>("x_303_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_303_strides_0 = const()[name = tensor<string, []>("x_303_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_303_pad_0 = const()[name = tensor<string, []>("x_303_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_303_dilations_0 = const()[name = tensor<string, []>("x_303_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_303_groups_0 = const()[name = tensor<string, []>("x_303_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 11]> m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60694464)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60951168)))];
            tensor<fp16, [1, 108, 2048]> x_303_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16, dilations = x_303_dilations_0, groups = x_303_groups_0, pad = x_303_pad_0, pad_type = x_303_pad_type_0, strides = x_303_strides_0, weight = m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16, x = x_301_cast_fp16)[name = tensor<string, []>("x_303_cast_fp16")];
            tensor<int32, [3]> x_305_begin_0 = const()[name = tensor<string, []>("x_305_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_305_end_0 = const()[name = tensor<string, []>("x_305_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_305_end_mask_0 = const()[name = tensor<string, []>("x_305_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_305_cast_fp16 = slice_by_index(begin = x_305_begin_0, end = x_305_end_0, end_mask = x_305_end_mask_0, x = x_303_cast_fp16)[name = tensor<string, []>("x_305_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60951488)))];
            tensor<fp16, [1, 54, 2048]> var_1742_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_305_cast_fp16)[name = tensor<string, []>("op_1742_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_221_cast_fp16 = sin(x = var_1742_cast_fp16)[name = tensor<string, []>("s_221_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1746_to_fp16 = const()[name = tensor<string, []>("op_1746_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60951680)))];
            tensor<fp16, [1, 54, 2048]> var_1749_cast_fp16 = mul(x = var_1746_to_fp16, y = s_221_cast_fp16)[name = tensor<string, []>("op_1749_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1750_cast_fp16 = mul(x = var_1749_cast_fp16, y = s_221_cast_fp16)[name = tensor<string, []>("op_1750_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_223_cast_fp16 = add(x = x_305_cast_fp16, y = var_1750_cast_fp16)[name = tensor<string, []>("s_223_cast_fp16")];
            tensor<int32, [3]> input_203_begin_0 = const()[name = tensor<string, []>("input_203_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_203_end_0 = const()[name = tensor<string, []>("input_203_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_203_end_mask_0 = const()[name = tensor<string, []>("input_203_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_203_cast_fp16 = slice_by_index(begin = input_203_begin_0, end = input_203_end_0, end_mask = input_203_end_mask_0, x = x_303_cast_fp16)[name = tensor<string, []>("input_203_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_105_cast_fp16 = leaky_relu(alpha = var_25, x = input_203_cast_fp16)[name = tensor<string, []>("l_105_cast_fp16")];
            tensor<bool, []> input_205_interleave_0 = const()[name = tensor<string, []>("input_205_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_205_cast_fp16 = concat(axis = var_30, interleave = input_205_interleave_0, values = (s_223_cast_fp16, l_105_cast_fp16))[name = tensor<string, []>("input_205_cast_fp16")];
            tensor<int32, [6]> x_307_pad_0 = const()[name = tensor<string, []>("x_307_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_307_mode_0 = const()[name = tensor<string, []>("x_307_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_50_to_fp16 = const()[name = tensor<string, []>("const_50_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2058]> x_307_cast_fp16 = pad(constant_val = const_50_to_fp16, mode = x_307_mode_0, pad = x_307_pad_0, x = input_205_cast_fp16)[name = tensor<string, []>("x_307_cast_fp16")];
            tensor<string, []> h_49_pad_type_0 = const()[name = tensor<string, []>("h_49_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_49_strides_0 = const()[name = tensor<string, []>("h_49_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_49_pad_0 = const()[name = tensor<string, []>("h_49_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_49_dilations_0 = const()[name = tensor<string, []>("h_49_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_49_groups_0 = const()[name = tensor<string, []>("h_49_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 11]> m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(60951872)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61208576)))];
            tensor<fp16, [1, 108, 2048]> h_49_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_49_dilations_0, groups = h_49_groups_0, pad = h_49_pad_0, pad_type = h_49_pad_type_0, strides = h_49_strides_0, weight = m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16, x = x_307_cast_fp16)[name = tensor<string, []>("h_49_cast_fp16")];
            tensor<fp16, [1, 108, 2048]> x_309_cast_fp16 = add(x = x_229_cast_fp16, y = h_49_cast_fp16)[name = tensor<string, []>("x_309_cast_fp16")];
            tensor<int32, [3]> x_311_begin_0 = const()[name = tensor<string, []>("x_311_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_311_end_0 = const()[name = tensor<string, []>("x_311_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_311_end_mask_0 = const()[name = tensor<string, []>("x_311_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_311_cast_fp16 = slice_by_index(begin = x_311_begin_0, end = x_311_end_0, end_mask = x_311_end_mask_0, x = x_309_cast_fp16)[name = tensor<string, []>("x_311_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61208896)))];
            tensor<fp16, [1, 54, 2048]> var_1775_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_311_cast_fp16)[name = tensor<string, []>("op_1775_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_225_cast_fp16 = sin(x = var_1775_cast_fp16)[name = tensor<string, []>("s_225_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1779_to_fp16 = const()[name = tensor<string, []>("op_1779_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61209088)))];
            tensor<fp16, [1, 54, 2048]> var_1782_cast_fp16 = mul(x = var_1779_to_fp16, y = s_225_cast_fp16)[name = tensor<string, []>("op_1782_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1783_cast_fp16 = mul(x = var_1782_cast_fp16, y = s_225_cast_fp16)[name = tensor<string, []>("op_1783_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_227_cast_fp16 = add(x = x_311_cast_fp16, y = var_1783_cast_fp16)[name = tensor<string, []>("s_227_cast_fp16")];
            tensor<int32, [3]> input_207_begin_0 = const()[name = tensor<string, []>("input_207_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_207_end_0 = const()[name = tensor<string, []>("input_207_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_207_end_mask_0 = const()[name = tensor<string, []>("input_207_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_207_cast_fp16 = slice_by_index(begin = input_207_begin_0, end = input_207_end_0, end_mask = input_207_end_mask_0, x = x_309_cast_fp16)[name = tensor<string, []>("input_207_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_107_cast_fp16 = leaky_relu(alpha = var_25, x = input_207_cast_fp16)[name = tensor<string, []>("l_107_cast_fp16")];
            tensor<bool, []> input_209_interleave_0 = const()[name = tensor<string, []>("input_209_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_209_cast_fp16 = concat(axis = var_30, interleave = input_209_interleave_0, values = (s_227_cast_fp16, l_107_cast_fp16))[name = tensor<string, []>("input_209_cast_fp16")];
            tensor<int32, [6]> x_313_pad_0 = const()[name = tensor<string, []>("x_313_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 30, 0])];
            tensor<string, []> x_313_mode_0 = const()[name = tensor<string, []>("x_313_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_51_to_fp16 = const()[name = tensor<string, []>("const_51_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2078]> x_313_cast_fp16 = pad(constant_val = const_51_to_fp16, mode = x_313_mode_0, pad = x_313_pad_0, x = input_209_cast_fp16)[name = tensor<string, []>("x_313_cast_fp16")];
            tensor<string, []> x_315_pad_type_0 = const()[name = tensor<string, []>("x_315_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_315_dilations_0 = const()[name = tensor<string, []>("x_315_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_315_strides_0 = const()[name = tensor<string, []>("x_315_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_315_pad_0 = const()[name = tensor<string, []>("x_315_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_315_groups_0 = const()[name = tensor<string, []>("x_315_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 11]> m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61209280)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61465984)))];
            tensor<fp16, [1, 108, 2048]> x_315_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16, dilations = x_315_dilations_0, groups = x_315_groups_0, pad = x_315_pad_0, pad_type = x_315_pad_type_0, strides = x_315_strides_0, weight = m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16, x = x_313_cast_fp16)[name = tensor<string, []>("x_315_cast_fp16")];
            tensor<int32, [3]> x_317_begin_0 = const()[name = tensor<string, []>("x_317_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_317_end_0 = const()[name = tensor<string, []>("x_317_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_317_end_mask_0 = const()[name = tensor<string, []>("x_317_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_317_cast_fp16 = slice_by_index(begin = x_317_begin_0, end = x_317_end_0, end_mask = x_317_end_mask_0, x = x_315_cast_fp16)[name = tensor<string, []>("x_317_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61466304)))];
            tensor<fp16, [1, 54, 2048]> var_1803_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_317_cast_fp16)[name = tensor<string, []>("op_1803_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_229_cast_fp16 = sin(x = var_1803_cast_fp16)[name = tensor<string, []>("s_229_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1807_to_fp16 = const()[name = tensor<string, []>("op_1807_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61466496)))];
            tensor<fp16, [1, 54, 2048]> var_1810_cast_fp16 = mul(x = var_1807_to_fp16, y = s_229_cast_fp16)[name = tensor<string, []>("op_1810_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1811_cast_fp16 = mul(x = var_1810_cast_fp16, y = s_229_cast_fp16)[name = tensor<string, []>("op_1811_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_231_cast_fp16 = add(x = x_317_cast_fp16, y = var_1811_cast_fp16)[name = tensor<string, []>("s_231_cast_fp16")];
            tensor<int32, [3]> input_211_begin_0 = const()[name = tensor<string, []>("input_211_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_211_end_0 = const()[name = tensor<string, []>("input_211_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_211_end_mask_0 = const()[name = tensor<string, []>("input_211_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_211_cast_fp16 = slice_by_index(begin = input_211_begin_0, end = input_211_end_0, end_mask = input_211_end_mask_0, x = x_315_cast_fp16)[name = tensor<string, []>("input_211_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_109_cast_fp16 = leaky_relu(alpha = var_25, x = input_211_cast_fp16)[name = tensor<string, []>("l_109_cast_fp16")];
            tensor<bool, []> input_213_interleave_0 = const()[name = tensor<string, []>("input_213_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_213_cast_fp16 = concat(axis = var_30, interleave = input_213_interleave_0, values = (s_231_cast_fp16, l_109_cast_fp16))[name = tensor<string, []>("input_213_cast_fp16")];
            tensor<int32, [6]> x_319_pad_0 = const()[name = tensor<string, []>("x_319_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_319_mode_0 = const()[name = tensor<string, []>("x_319_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_52_to_fp16 = const()[name = tensor<string, []>("const_52_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2058]> x_319_cast_fp16 = pad(constant_val = const_52_to_fp16, mode = x_319_mode_0, pad = x_319_pad_0, x = input_213_cast_fp16)[name = tensor<string, []>("x_319_cast_fp16")];
            tensor<string, []> h_51_pad_type_0 = const()[name = tensor<string, []>("h_51_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_51_strides_0 = const()[name = tensor<string, []>("h_51_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_51_pad_0 = const()[name = tensor<string, []>("h_51_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_51_dilations_0 = const()[name = tensor<string, []>("h_51_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_51_groups_0 = const()[name = tensor<string, []>("h_51_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 11]> m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61466688)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61723392)))];
            tensor<fp16, [1, 108, 2048]> h_51_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_51_dilations_0, groups = h_51_groups_0, pad = h_51_pad_0, pad_type = h_51_pad_type_0, strides = h_51_strides_0, weight = m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16, x = x_319_cast_fp16)[name = tensor<string, []>("h_51_cast_fp16")];
            tensor<fp16, [1, 108, 2048]> x_321_cast_fp16 = add(x = x_309_cast_fp16, y = h_51_cast_fp16)[name = tensor<string, []>("x_321_cast_fp16")];
            tensor<int32, [3]> x_323_begin_0 = const()[name = tensor<string, []>("x_323_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_323_end_0 = const()[name = tensor<string, []>("x_323_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_323_end_mask_0 = const()[name = tensor<string, []>("x_323_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_323_cast_fp16 = slice_by_index(begin = x_323_begin_0, end = x_323_end_0, end_mask = x_323_end_mask_0, x = x_321_cast_fp16)[name = tensor<string, []>("x_323_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61723712)))];
            tensor<fp16, [1, 54, 2048]> var_1836_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_323_cast_fp16)[name = tensor<string, []>("op_1836_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_233_cast_fp16 = sin(x = var_1836_cast_fp16)[name = tensor<string, []>("s_233_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1840_to_fp16 = const()[name = tensor<string, []>("op_1840_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61723904)))];
            tensor<fp16, [1, 54, 2048]> var_1843_cast_fp16 = mul(x = var_1840_to_fp16, y = s_233_cast_fp16)[name = tensor<string, []>("op_1843_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1844_cast_fp16 = mul(x = var_1843_cast_fp16, y = s_233_cast_fp16)[name = tensor<string, []>("op_1844_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_235_cast_fp16 = add(x = x_323_cast_fp16, y = var_1844_cast_fp16)[name = tensor<string, []>("s_235_cast_fp16")];
            tensor<int32, [3]> input_215_begin_0 = const()[name = tensor<string, []>("input_215_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_215_end_0 = const()[name = tensor<string, []>("input_215_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_215_end_mask_0 = const()[name = tensor<string, []>("input_215_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_215_cast_fp16 = slice_by_index(begin = input_215_begin_0, end = input_215_end_0, end_mask = input_215_end_mask_0, x = x_321_cast_fp16)[name = tensor<string, []>("input_215_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_111_cast_fp16 = leaky_relu(alpha = var_25, x = input_215_cast_fp16)[name = tensor<string, []>("l_111_cast_fp16")];
            tensor<bool, []> input_217_interleave_0 = const()[name = tensor<string, []>("input_217_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_217_cast_fp16 = concat(axis = var_30, interleave = input_217_interleave_0, values = (s_235_cast_fp16, l_111_cast_fp16))[name = tensor<string, []>("input_217_cast_fp16")];
            tensor<int32, [6]> x_325_pad_0 = const()[name = tensor<string, []>("x_325_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 50, 0])];
            tensor<string, []> x_325_mode_0 = const()[name = tensor<string, []>("x_325_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_53_to_fp16 = const()[name = tensor<string, []>("const_53_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2098]> x_325_cast_fp16 = pad(constant_val = const_53_to_fp16, mode = x_325_mode_0, pad = x_325_pad_0, x = input_217_cast_fp16)[name = tensor<string, []>("x_325_cast_fp16")];
            tensor<string, []> x_327_pad_type_0 = const()[name = tensor<string, []>("x_327_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_327_dilations_0 = const()[name = tensor<string, []>("x_327_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_327_strides_0 = const()[name = tensor<string, []>("x_327_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_327_pad_0 = const()[name = tensor<string, []>("x_327_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_327_groups_0 = const()[name = tensor<string, []>("x_327_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 11]> m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61724096)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61980800)))];
            tensor<fp16, [1, 108, 2048]> x_327_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16, dilations = x_327_dilations_0, groups = x_327_groups_0, pad = x_327_pad_0, pad_type = x_327_pad_type_0, strides = x_327_strides_0, weight = m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16, x = x_325_cast_fp16)[name = tensor<string, []>("x_327_cast_fp16")];
            tensor<int32, [3]> x_329_begin_0 = const()[name = tensor<string, []>("x_329_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_329_end_0 = const()[name = tensor<string, []>("x_329_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_329_end_mask_0 = const()[name = tensor<string, []>("x_329_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_329_cast_fp16 = slice_by_index(begin = x_329_begin_0, end = x_329_end_0, end_mask = x_329_end_mask_0, x = x_327_cast_fp16)[name = tensor<string, []>("x_329_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61981120)))];
            tensor<fp16, [1, 54, 2048]> var_1864_cast_fp16 = mul(x = m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_329_cast_fp16)[name = tensor<string, []>("op_1864_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_237_cast_fp16 = sin(x = var_1864_cast_fp16)[name = tensor<string, []>("s_237_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1868_to_fp16 = const()[name = tensor<string, []>("op_1868_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61981312)))];
            tensor<fp16, [1, 54, 2048]> var_1871_cast_fp16 = mul(x = var_1868_to_fp16, y = s_237_cast_fp16)[name = tensor<string, []>("op_1871_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1872_cast_fp16 = mul(x = var_1871_cast_fp16, y = s_237_cast_fp16)[name = tensor<string, []>("op_1872_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_239_cast_fp16 = add(x = x_329_cast_fp16, y = var_1872_cast_fp16)[name = tensor<string, []>("s_239_cast_fp16")];
            tensor<int32, [3]> input_219_begin_0 = const()[name = tensor<string, []>("input_219_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_219_end_0 = const()[name = tensor<string, []>("input_219_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_219_end_mask_0 = const()[name = tensor<string, []>("input_219_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_219_cast_fp16 = slice_by_index(begin = input_219_begin_0, end = input_219_end_0, end_mask = input_219_end_mask_0, x = x_327_cast_fp16)[name = tensor<string, []>("input_219_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_113_cast_fp16 = leaky_relu(alpha = var_25, x = input_219_cast_fp16)[name = tensor<string, []>("l_113_cast_fp16")];
            tensor<bool, []> input_221_interleave_0 = const()[name = tensor<string, []>("input_221_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> input_221_cast_fp16 = concat(axis = var_30, interleave = input_221_interleave_0, values = (s_239_cast_fp16, l_113_cast_fp16))[name = tensor<string, []>("input_221_cast_fp16")];
            tensor<int32, [6]> x_331_pad_0 = const()[name = tensor<string, []>("x_331_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_331_mode_0 = const()[name = tensor<string, []>("x_331_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_54_to_fp16 = const()[name = tensor<string, []>("const_54_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 108, 2058]> x_331_cast_fp16 = pad(constant_val = const_54_to_fp16, mode = x_331_mode_0, pad = x_331_pad_0, x = input_221_cast_fp16)[name = tensor<string, []>("x_331_cast_fp16")];
            tensor<string, []> h_53_pad_type_0 = const()[name = tensor<string, []>("h_53_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_53_strides_0 = const()[name = tensor<string, []>("h_53_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_53_pad_0 = const()[name = tensor<string, []>("h_53_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_53_dilations_0 = const()[name = tensor<string, []>("h_53_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_53_groups_0 = const()[name = tensor<string, []>("h_53_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [108, 108, 11]> m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [108, 108, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(61981504)))];
            tensor<fp16, [108]> m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [108]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62238208)))];
            tensor<fp16, [1, 108, 2048]> h_53_cast_fp16 = conv(bias = m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_53_dilations_0, groups = h_53_groups_0, pad = h_53_pad_0, pad_type = h_53_pad_type_0, strides = h_53_strides_0, weight = m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16, x = x_331_cast_fp16)[name = tensor<string, []>("h_53_cast_fp16")];
            tensor<fp16, [1, 108, 2048]> o_11_cast_fp16 = add(x = x_321_cast_fp16, y = h_53_cast_fp16)[name = tensor<string, []>("o_11_cast_fp16")];
            tensor<fp16, [1, 108, 2048]> s_243_cast_fp16 = add(x = s_241_cast_fp16, y = o_9_cast_fp16)[name = tensor<string, []>("s_243_cast_fp16")];
            tensor<fp16, [1, 108, 2048]> s_245_cast_fp16 = add(x = s_243_cast_fp16, y = o_11_cast_fp16)[name = tensor<string, []>("s_245_cast_fp16")];
            tensor<fp16, []> _inversed_x_333_y_0_to_fp16 = const()[name = tensor<string, []>("_inversed_x_333_y_0_to_fp16"), val = tensor<fp16, []>(0x1.554p-2)];
            tensor<fp16, [1, 108, 2048]> _inversed_x_333_cast_fp16 = mul(x = s_245_cast_fp16, y = _inversed_x_333_y_0_to_fp16)[name = tensor<string, []>("_inversed_x_333_cast_fp16")];
            tensor<int32, [3]> x_335_begin_0 = const()[name = tensor<string, []>("x_335_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_335_end_0 = const()[name = tensor<string, []>("x_335_end_0"), val = tensor<int32, [3]>([1, 54, 2048])];
            tensor<bool, [3]> x_335_end_mask_0 = const()[name = tensor<string, []>("x_335_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 54, 2048]> x_335_cast_fp16 = slice_by_index(begin = x_335_begin_0, end = x_335_end_0, end_mask = x_335_end_mask_0, x = _inversed_x_333_cast_fp16)[name = tensor<string, []>("x_335_cast_fp16")];
            tensor<fp16, [1, 54, 1]> m_decoder_activations_3_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_activations_3_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62238528)))];
            tensor<fp16, [1, 54, 2048]> var_1897_cast_fp16 = mul(x = m_decoder_activations_3_snake_act_alpha_to_fp16, y = x_335_cast_fp16)[name = tensor<string, []>("op_1897_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_247_cast_fp16 = sin(x = var_1897_cast_fp16)[name = tensor<string, []>("s_247_cast_fp16")];
            tensor<fp16, [1, 54, 1]> var_1901_to_fp16 = const()[name = tensor<string, []>("op_1901_to_fp16"), val = tensor<fp16, [1, 54, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62238720)))];
            tensor<fp16, [1, 54, 2048]> var_1904_cast_fp16 = mul(x = var_1901_to_fp16, y = s_247_cast_fp16)[name = tensor<string, []>("op_1904_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> var_1905_cast_fp16 = mul(x = var_1904_cast_fp16, y = s_247_cast_fp16)[name = tensor<string, []>("op_1905_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> s_249_cast_fp16 = add(x = x_335_cast_fp16, y = var_1905_cast_fp16)[name = tensor<string, []>("s_249_cast_fp16")];
            tensor<int32, [3]> input_223_begin_0 = const()[name = tensor<string, []>("input_223_begin_0"), val = tensor<int32, [3]>([0, 54, 0])];
            tensor<int32, [3]> input_223_end_0 = const()[name = tensor<string, []>("input_223_end_0"), val = tensor<int32, [3]>([1, 108, 2048])];
            tensor<bool, [3]> input_223_end_mask_0 = const()[name = tensor<string, []>("input_223_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 54, 2048]> input_223_cast_fp16 = slice_by_index(begin = input_223_begin_0, end = input_223_end_0, end_mask = input_223_end_mask_0, x = _inversed_x_333_cast_fp16)[name = tensor<string, []>("input_223_cast_fp16")];
            tensor<fp16, [1, 54, 2048]> l_115_cast_fp16 = leaky_relu(alpha = var_25, x = input_223_cast_fp16)[name = tensor<string, []>("l_115_cast_fp16")];
            tensor<bool, []> x_337_interleave_0 = const()[name = tensor<string, []>("x_337_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 108, 2048]> x_337_cast_fp16 = concat(axis = var_30, interleave = x_337_interleave_0, values = (s_249_cast_fp16, l_115_cast_fp16))[name = tensor<string, []>("x_337_cast_fp16")];
            tensor<string, []> y_7_pad_type_0 = const()[name = tensor<string, []>("y_7_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> y_7_strides_0 = const()[name = tensor<string, []>("y_7_strides_0"), val = tensor<int32, [1]>([2])];
            tensor<int32, []> y_7_groups_0 = const()[name = tensor<string, []>("y_7_groups_0"), val = tensor<int32, []>(54)];
            tensor<int32, [2]> y_7_pad_0 = const()[name = tensor<string, []>("y_7_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_7_dilations_0 = const()[name = tensor<string, []>("y_7_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [3]> y_7_has_output_shape_output_shape_0 = const()[name = tensor<string, []>("y_7_has_output_shape_output_shape_0"), val = tensor<int32, [3]>([1, 54, 4098])];
            tensor<fp16, [108, 1, 4]> m_decoder_up_sample_conv_layers_3_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_up_sample_conv_layers_3_weight_to_fp16"), val = tensor<fp16, [108, 1, 4]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62238912)))];
            tensor<fp16, [54]> m_decoder_up_sample_conv_layers_3_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_up_sample_conv_layers_3_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62239872)))];
            tensor<fp16, [1, 54, 4098]> y_7_has_output_shape_cast_fp16 = conv_transpose(bias = m_decoder_up_sample_conv_layers_3_bias_to_fp16, dilations = y_7_dilations_0, groups = y_7_groups_0, output_shape = y_7_has_output_shape_output_shape_0, pad = y_7_pad_0, pad_type = y_7_pad_type_0, strides = y_7_strides_0, weight = m_decoder_up_sample_conv_layers_3_weight_to_fp16, x = x_337_cast_fp16)[name = tensor<string, []>("y_7_has_output_shape_cast_fp16")];
            tensor<int32, [3]> x_339_begin_0 = const()[name = tensor<string, []>("x_339_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_339_end_0 = const()[name = tensor<string, []>("x_339_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> x_339_end_mask_0 = const()[name = tensor<string, []>("x_339_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [1, 54, 4096]> x_339_cast_fp16 = slice_by_index(begin = x_339_begin_0, end = x_339_end_0, end_mask = x_339_end_mask_0, x = y_7_has_output_shape_cast_fp16)[name = tensor<string, []>("x_339_cast_fp16")];
            tensor<int32, [3]> x_341_begin_0 = const()[name = tensor<string, []>("x_341_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_341_end_0 = const()[name = tensor<string, []>("x_341_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_341_end_mask_0 = const()[name = tensor<string, []>("x_341_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_341_cast_fp16 = slice_by_index(begin = x_341_begin_0, end = x_341_end_0, end_mask = x_341_end_mask_0, x = x_339_cast_fp16)[name = tensor<string, []>("x_341_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62240064)))];
            tensor<fp16, [1, 27, 4096]> var_1942_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_341_cast_fp16)[name = tensor<string, []>("op_1942_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_251_cast_fp16 = sin(x = var_1942_cast_fp16)[name = tensor<string, []>("s_251_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_1946_to_fp16 = const()[name = tensor<string, []>("op_1946_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62240192)))];
            tensor<fp16, [1, 27, 4096]> var_1949_cast_fp16 = mul(x = var_1946_to_fp16, y = s_251_cast_fp16)[name = tensor<string, []>("op_1949_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_1950_cast_fp16 = mul(x = var_1949_cast_fp16, y = s_251_cast_fp16)[name = tensor<string, []>("op_1950_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_253_cast_fp16 = add(x = x_341_cast_fp16, y = var_1950_cast_fp16)[name = tensor<string, []>("s_253_cast_fp16")];
            tensor<int32, [3]> input_225_begin_0 = const()[name = tensor<string, []>("input_225_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_225_end_0 = const()[name = tensor<string, []>("input_225_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_225_end_mask_0 = const()[name = tensor<string, []>("input_225_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_225_cast_fp16 = slice_by_index(begin = input_225_begin_0, end = input_225_end_0, end_mask = input_225_end_mask_0, x = x_339_cast_fp16)[name = tensor<string, []>("input_225_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_117_cast_fp16 = leaky_relu(alpha = var_25, x = input_225_cast_fp16)[name = tensor<string, []>("l_117_cast_fp16")];
            tensor<bool, []> input_227_interleave_0 = const()[name = tensor<string, []>("input_227_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_227_cast_fp16 = concat(axis = var_30, interleave = input_227_interleave_0, values = (s_253_cast_fp16, l_117_cast_fp16))[name = tensor<string, []>("input_227_cast_fp16")];
            tensor<int32, [6]> x_343_pad_0 = const()[name = tensor<string, []>("x_343_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_343_mode_0 = const()[name = tensor<string, []>("x_343_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_55_to_fp16 = const()[name = tensor<string, []>("const_55_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4098]> x_343_cast_fp16 = pad(constant_val = const_55_to_fp16, mode = x_343_mode_0, pad = x_343_pad_0, x = input_227_cast_fp16)[name = tensor<string, []>("x_343_cast_fp16")];
            tensor<string, []> x_345_pad_type_0 = const()[name = tensor<string, []>("x_345_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_345_strides_0 = const()[name = tensor<string, []>("x_345_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_345_pad_0 = const()[name = tensor<string, []>("x_345_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_345_dilations_0 = const()[name = tensor<string, []>("x_345_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_345_groups_0 = const()[name = tensor<string, []>("x_345_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 3]> m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62240320)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62257920)))];
            tensor<fp16, [1, 54, 4096]> x_345_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16, dilations = x_345_dilations_0, groups = x_345_groups_0, pad = x_345_pad_0, pad_type = x_345_pad_type_0, strides = x_345_strides_0, weight = m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16, x = x_343_cast_fp16)[name = tensor<string, []>("x_345_cast_fp16")];
            tensor<int32, [3]> x_347_begin_0 = const()[name = tensor<string, []>("x_347_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_347_end_0 = const()[name = tensor<string, []>("x_347_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_347_end_mask_0 = const()[name = tensor<string, []>("x_347_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_347_cast_fp16 = slice_by_index(begin = x_347_begin_0, end = x_347_end_0, end_mask = x_347_end_mask_0, x = x_345_cast_fp16)[name = tensor<string, []>("x_347_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62258112)))];
            tensor<fp16, [1, 27, 4096]> var_1970_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_347_cast_fp16)[name = tensor<string, []>("op_1970_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_255_cast_fp16 = sin(x = var_1970_cast_fp16)[name = tensor<string, []>("s_255_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_1974_to_fp16 = const()[name = tensor<string, []>("op_1974_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62258240)))];
            tensor<fp16, [1, 27, 4096]> var_1977_cast_fp16 = mul(x = var_1974_to_fp16, y = s_255_cast_fp16)[name = tensor<string, []>("op_1977_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_1978_cast_fp16 = mul(x = var_1977_cast_fp16, y = s_255_cast_fp16)[name = tensor<string, []>("op_1978_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_257_cast_fp16 = add(x = x_347_cast_fp16, y = var_1978_cast_fp16)[name = tensor<string, []>("s_257_cast_fp16")];
            tensor<int32, [3]> input_229_begin_0 = const()[name = tensor<string, []>("input_229_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_229_end_0 = const()[name = tensor<string, []>("input_229_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_229_end_mask_0 = const()[name = tensor<string, []>("input_229_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_229_cast_fp16 = slice_by_index(begin = input_229_begin_0, end = input_229_end_0, end_mask = input_229_end_mask_0, x = x_345_cast_fp16)[name = tensor<string, []>("input_229_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_119_cast_fp16 = leaky_relu(alpha = var_25, x = input_229_cast_fp16)[name = tensor<string, []>("l_119_cast_fp16")];
            tensor<bool, []> input_231_interleave_0 = const()[name = tensor<string, []>("input_231_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_231_cast_fp16 = concat(axis = var_30, interleave = input_231_interleave_0, values = (s_257_cast_fp16, l_119_cast_fp16))[name = tensor<string, []>("input_231_cast_fp16")];
            tensor<int32, [6]> x_349_pad_0 = const()[name = tensor<string, []>("x_349_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_349_mode_0 = const()[name = tensor<string, []>("x_349_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_56_to_fp16 = const()[name = tensor<string, []>("const_56_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4098]> x_349_cast_fp16 = pad(constant_val = const_56_to_fp16, mode = x_349_mode_0, pad = x_349_pad_0, x = input_231_cast_fp16)[name = tensor<string, []>("x_349_cast_fp16")];
            tensor<string, []> h_55_pad_type_0 = const()[name = tensor<string, []>("h_55_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_55_strides_0 = const()[name = tensor<string, []>("h_55_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_55_pad_0 = const()[name = tensor<string, []>("h_55_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_55_dilations_0 = const()[name = tensor<string, []>("h_55_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_55_groups_0 = const()[name = tensor<string, []>("h_55_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 3]> m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62258368)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62275968)))];
            tensor<fp16, [1, 54, 4096]> h_55_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_55_dilations_0, groups = h_55_groups_0, pad = h_55_pad_0, pad_type = h_55_pad_type_0, strides = h_55_strides_0, weight = m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16, x = x_349_cast_fp16)[name = tensor<string, []>("h_55_cast_fp16")];
            tensor<fp16, [1, 54, 4096]> x_351_cast_fp16 = add(x = x_339_cast_fp16, y = h_55_cast_fp16)[name = tensor<string, []>("x_351_cast_fp16")];
            tensor<int32, [3]> x_353_begin_0 = const()[name = tensor<string, []>("x_353_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_353_end_0 = const()[name = tensor<string, []>("x_353_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_353_end_mask_0 = const()[name = tensor<string, []>("x_353_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_353_cast_fp16 = slice_by_index(begin = x_353_begin_0, end = x_353_end_0, end_mask = x_353_end_mask_0, x = x_351_cast_fp16)[name = tensor<string, []>("x_353_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62276160)))];
            tensor<fp16, [1, 27, 4096]> var_2003_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_353_cast_fp16)[name = tensor<string, []>("op_2003_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_259_cast_fp16 = sin(x = var_2003_cast_fp16)[name = tensor<string, []>("s_259_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2007_to_fp16 = const()[name = tensor<string, []>("op_2007_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62276288)))];
            tensor<fp16, [1, 27, 4096]> var_2010_cast_fp16 = mul(x = var_2007_to_fp16, y = s_259_cast_fp16)[name = tensor<string, []>("op_2010_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2011_cast_fp16 = mul(x = var_2010_cast_fp16, y = s_259_cast_fp16)[name = tensor<string, []>("op_2011_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_261_cast_fp16 = add(x = x_353_cast_fp16, y = var_2011_cast_fp16)[name = tensor<string, []>("s_261_cast_fp16")];
            tensor<int32, [3]> input_233_begin_0 = const()[name = tensor<string, []>("input_233_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_233_end_0 = const()[name = tensor<string, []>("input_233_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_233_end_mask_0 = const()[name = tensor<string, []>("input_233_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_233_cast_fp16 = slice_by_index(begin = input_233_begin_0, end = input_233_end_0, end_mask = input_233_end_mask_0, x = x_351_cast_fp16)[name = tensor<string, []>("input_233_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_121_cast_fp16 = leaky_relu(alpha = var_25, x = input_233_cast_fp16)[name = tensor<string, []>("l_121_cast_fp16")];
            tensor<bool, []> input_235_interleave_0 = const()[name = tensor<string, []>("input_235_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_235_cast_fp16 = concat(axis = var_30, interleave = input_235_interleave_0, values = (s_261_cast_fp16, l_121_cast_fp16))[name = tensor<string, []>("input_235_cast_fp16")];
            tensor<int32, [6]> x_355_pad_0 = const()[name = tensor<string, []>("x_355_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_355_mode_0 = const()[name = tensor<string, []>("x_355_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_57_to_fp16 = const()[name = tensor<string, []>("const_57_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4102]> x_355_cast_fp16 = pad(constant_val = const_57_to_fp16, mode = x_355_mode_0, pad = x_355_pad_0, x = input_235_cast_fp16)[name = tensor<string, []>("x_355_cast_fp16")];
            tensor<string, []> x_357_pad_type_0 = const()[name = tensor<string, []>("x_357_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_357_dilations_0 = const()[name = tensor<string, []>("x_357_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_357_strides_0 = const()[name = tensor<string, []>("x_357_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_357_pad_0 = const()[name = tensor<string, []>("x_357_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_357_groups_0 = const()[name = tensor<string, []>("x_357_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 3]> m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62276416)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62294016)))];
            tensor<fp16, [1, 54, 4096]> x_357_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16, dilations = x_357_dilations_0, groups = x_357_groups_0, pad = x_357_pad_0, pad_type = x_357_pad_type_0, strides = x_357_strides_0, weight = m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16, x = x_355_cast_fp16)[name = tensor<string, []>("x_357_cast_fp16")];
            tensor<int32, [3]> x_359_begin_0 = const()[name = tensor<string, []>("x_359_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_359_end_0 = const()[name = tensor<string, []>("x_359_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_359_end_mask_0 = const()[name = tensor<string, []>("x_359_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_359_cast_fp16 = slice_by_index(begin = x_359_begin_0, end = x_359_end_0, end_mask = x_359_end_mask_0, x = x_357_cast_fp16)[name = tensor<string, []>("x_359_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62294208)))];
            tensor<fp16, [1, 27, 4096]> var_2031_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_359_cast_fp16)[name = tensor<string, []>("op_2031_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_263_cast_fp16 = sin(x = var_2031_cast_fp16)[name = tensor<string, []>("s_263_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2035_to_fp16 = const()[name = tensor<string, []>("op_2035_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62294336)))];
            tensor<fp16, [1, 27, 4096]> var_2038_cast_fp16 = mul(x = var_2035_to_fp16, y = s_263_cast_fp16)[name = tensor<string, []>("op_2038_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2039_cast_fp16 = mul(x = var_2038_cast_fp16, y = s_263_cast_fp16)[name = tensor<string, []>("op_2039_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_265_cast_fp16 = add(x = x_359_cast_fp16, y = var_2039_cast_fp16)[name = tensor<string, []>("s_265_cast_fp16")];
            tensor<int32, [3]> input_237_begin_0 = const()[name = tensor<string, []>("input_237_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_237_end_0 = const()[name = tensor<string, []>("input_237_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_237_end_mask_0 = const()[name = tensor<string, []>("input_237_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_237_cast_fp16 = slice_by_index(begin = input_237_begin_0, end = input_237_end_0, end_mask = input_237_end_mask_0, x = x_357_cast_fp16)[name = tensor<string, []>("input_237_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_123_cast_fp16 = leaky_relu(alpha = var_25, x = input_237_cast_fp16)[name = tensor<string, []>("l_123_cast_fp16")];
            tensor<bool, []> input_239_interleave_0 = const()[name = tensor<string, []>("input_239_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_239_cast_fp16 = concat(axis = var_30, interleave = input_239_interleave_0, values = (s_265_cast_fp16, l_123_cast_fp16))[name = tensor<string, []>("input_239_cast_fp16")];
            tensor<int32, [6]> x_361_pad_0 = const()[name = tensor<string, []>("x_361_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_361_mode_0 = const()[name = tensor<string, []>("x_361_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_58_to_fp16 = const()[name = tensor<string, []>("const_58_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4098]> x_361_cast_fp16 = pad(constant_val = const_58_to_fp16, mode = x_361_mode_0, pad = x_361_pad_0, x = input_239_cast_fp16)[name = tensor<string, []>("x_361_cast_fp16")];
            tensor<string, []> h_57_pad_type_0 = const()[name = tensor<string, []>("h_57_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_57_strides_0 = const()[name = tensor<string, []>("h_57_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_57_pad_0 = const()[name = tensor<string, []>("h_57_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_57_dilations_0 = const()[name = tensor<string, []>("h_57_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_57_groups_0 = const()[name = tensor<string, []>("h_57_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 3]> m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62294464)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62312064)))];
            tensor<fp16, [1, 54, 4096]> h_57_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_57_dilations_0, groups = h_57_groups_0, pad = h_57_pad_0, pad_type = h_57_pad_type_0, strides = h_57_strides_0, weight = m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16, x = x_361_cast_fp16)[name = tensor<string, []>("h_57_cast_fp16")];
            tensor<fp16, [1, 54, 4096]> x_363_cast_fp16 = add(x = x_351_cast_fp16, y = h_57_cast_fp16)[name = tensor<string, []>("x_363_cast_fp16")];
            tensor<int32, [3]> x_365_begin_0 = const()[name = tensor<string, []>("x_365_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_365_end_0 = const()[name = tensor<string, []>("x_365_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_365_end_mask_0 = const()[name = tensor<string, []>("x_365_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_365_cast_fp16 = slice_by_index(begin = x_365_begin_0, end = x_365_end_0, end_mask = x_365_end_mask_0, x = x_363_cast_fp16)[name = tensor<string, []>("x_365_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62312256)))];
            tensor<fp16, [1, 27, 4096]> var_2064_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_365_cast_fp16)[name = tensor<string, []>("op_2064_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_267_cast_fp16 = sin(x = var_2064_cast_fp16)[name = tensor<string, []>("s_267_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2068_to_fp16 = const()[name = tensor<string, []>("op_2068_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62312384)))];
            tensor<fp16, [1, 27, 4096]> var_2071_cast_fp16 = mul(x = var_2068_to_fp16, y = s_267_cast_fp16)[name = tensor<string, []>("op_2071_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2072_cast_fp16 = mul(x = var_2071_cast_fp16, y = s_267_cast_fp16)[name = tensor<string, []>("op_2072_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_269_cast_fp16 = add(x = x_365_cast_fp16, y = var_2072_cast_fp16)[name = tensor<string, []>("s_269_cast_fp16")];
            tensor<int32, [3]> input_241_begin_0 = const()[name = tensor<string, []>("input_241_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_241_end_0 = const()[name = tensor<string, []>("input_241_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_241_end_mask_0 = const()[name = tensor<string, []>("input_241_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_241_cast_fp16 = slice_by_index(begin = input_241_begin_0, end = input_241_end_0, end_mask = input_241_end_mask_0, x = x_363_cast_fp16)[name = tensor<string, []>("input_241_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_125_cast_fp16 = leaky_relu(alpha = var_25, x = input_241_cast_fp16)[name = tensor<string, []>("l_125_cast_fp16")];
            tensor<bool, []> input_243_interleave_0 = const()[name = tensor<string, []>("input_243_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_243_cast_fp16 = concat(axis = var_30, interleave = input_243_interleave_0, values = (s_269_cast_fp16, l_125_cast_fp16))[name = tensor<string, []>("input_243_cast_fp16")];
            tensor<int32, [6]> x_367_pad_0 = const()[name = tensor<string, []>("x_367_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_367_mode_0 = const()[name = tensor<string, []>("x_367_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_59_to_fp16 = const()[name = tensor<string, []>("const_59_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4106]> x_367_cast_fp16 = pad(constant_val = const_59_to_fp16, mode = x_367_mode_0, pad = x_367_pad_0, x = input_243_cast_fp16)[name = tensor<string, []>("x_367_cast_fp16")];
            tensor<string, []> x_369_pad_type_0 = const()[name = tensor<string, []>("x_369_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_369_dilations_0 = const()[name = tensor<string, []>("x_369_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_369_strides_0 = const()[name = tensor<string, []>("x_369_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_369_pad_0 = const()[name = tensor<string, []>("x_369_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_369_groups_0 = const()[name = tensor<string, []>("x_369_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 3]> m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62312512)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62330112)))];
            tensor<fp16, [1, 54, 4096]> x_369_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16, dilations = x_369_dilations_0, groups = x_369_groups_0, pad = x_369_pad_0, pad_type = x_369_pad_type_0, strides = x_369_strides_0, weight = m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16, x = x_367_cast_fp16)[name = tensor<string, []>("x_369_cast_fp16")];
            tensor<int32, [3]> x_371_begin_0 = const()[name = tensor<string, []>("x_371_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_371_end_0 = const()[name = tensor<string, []>("x_371_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_371_end_mask_0 = const()[name = tensor<string, []>("x_371_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_371_cast_fp16 = slice_by_index(begin = x_371_begin_0, end = x_371_end_0, end_mask = x_371_end_mask_0, x = x_369_cast_fp16)[name = tensor<string, []>("x_371_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62330304)))];
            tensor<fp16, [1, 27, 4096]> var_2092_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_371_cast_fp16)[name = tensor<string, []>("op_2092_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_271_cast_fp16 = sin(x = var_2092_cast_fp16)[name = tensor<string, []>("s_271_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2096_to_fp16 = const()[name = tensor<string, []>("op_2096_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62330432)))];
            tensor<fp16, [1, 27, 4096]> var_2099_cast_fp16 = mul(x = var_2096_to_fp16, y = s_271_cast_fp16)[name = tensor<string, []>("op_2099_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2100_cast_fp16 = mul(x = var_2099_cast_fp16, y = s_271_cast_fp16)[name = tensor<string, []>("op_2100_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_273_cast_fp16 = add(x = x_371_cast_fp16, y = var_2100_cast_fp16)[name = tensor<string, []>("s_273_cast_fp16")];
            tensor<int32, [3]> input_245_begin_0 = const()[name = tensor<string, []>("input_245_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_245_end_0 = const()[name = tensor<string, []>("input_245_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_245_end_mask_0 = const()[name = tensor<string, []>("input_245_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_245_cast_fp16 = slice_by_index(begin = input_245_begin_0, end = input_245_end_0, end_mask = input_245_end_mask_0, x = x_369_cast_fp16)[name = tensor<string, []>("input_245_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_127_cast_fp16 = leaky_relu(alpha = var_25, x = input_245_cast_fp16)[name = tensor<string, []>("l_127_cast_fp16")];
            tensor<bool, []> input_247_interleave_0 = const()[name = tensor<string, []>("input_247_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_247_cast_fp16 = concat(axis = var_30, interleave = input_247_interleave_0, values = (s_273_cast_fp16, l_127_cast_fp16))[name = tensor<string, []>("input_247_cast_fp16")];
            tensor<int32, [6]> x_373_pad_0 = const()[name = tensor<string, []>("x_373_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_373_mode_0 = const()[name = tensor<string, []>("x_373_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_60_to_fp16 = const()[name = tensor<string, []>("const_60_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4098]> x_373_cast_fp16 = pad(constant_val = const_60_to_fp16, mode = x_373_mode_0, pad = x_373_pad_0, x = input_247_cast_fp16)[name = tensor<string, []>("x_373_cast_fp16")];
            tensor<string, []> h_59_pad_type_0 = const()[name = tensor<string, []>("h_59_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_59_strides_0 = const()[name = tensor<string, []>("h_59_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_59_pad_0 = const()[name = tensor<string, []>("h_59_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_59_dilations_0 = const()[name = tensor<string, []>("h_59_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_59_groups_0 = const()[name = tensor<string, []>("h_59_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 3]> m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62330560)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62348160)))];
            tensor<fp16, [1, 54, 4096]> h_59_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_59_dilations_0, groups = h_59_groups_0, pad = h_59_pad_0, pad_type = h_59_pad_type_0, strides = h_59_strides_0, weight = m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16, x = x_373_cast_fp16)[name = tensor<string, []>("h_59_cast_fp16")];
            tensor<fp16, [1, 54, 4096]> s_323_cast_fp16 = add(x = x_363_cast_fp16, y = h_59_cast_fp16)[name = tensor<string, []>("s_323_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62348352)))];
            tensor<fp16, [1, 27, 4096]> var_2131_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_341_cast_fp16)[name = tensor<string, []>("op_2131_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_275_cast_fp16 = sin(x = var_2131_cast_fp16)[name = tensor<string, []>("s_275_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2135_to_fp16 = const()[name = tensor<string, []>("op_2135_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62348480)))];
            tensor<fp16, [1, 27, 4096]> var_2138_cast_fp16 = mul(x = var_2135_to_fp16, y = s_275_cast_fp16)[name = tensor<string, []>("op_2138_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2139_cast_fp16 = mul(x = var_2138_cast_fp16, y = s_275_cast_fp16)[name = tensor<string, []>("op_2139_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_277_cast_fp16 = add(x = x_341_cast_fp16, y = var_2139_cast_fp16)[name = tensor<string, []>("s_277_cast_fp16")];
            tensor<bool, []> input_251_interleave_0 = const()[name = tensor<string, []>("input_251_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_251_cast_fp16 = concat(axis = var_30, interleave = input_251_interleave_0, values = (s_277_cast_fp16, l_117_cast_fp16))[name = tensor<string, []>("input_251_cast_fp16")];
            tensor<int32, [6]> x_377_pad_0 = const()[name = tensor<string, []>("x_377_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_377_mode_0 = const()[name = tensor<string, []>("x_377_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_61_to_fp16 = const()[name = tensor<string, []>("const_61_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4102]> x_377_cast_fp16 = pad(constant_val = const_61_to_fp16, mode = x_377_mode_0, pad = x_377_pad_0, x = input_251_cast_fp16)[name = tensor<string, []>("x_377_cast_fp16")];
            tensor<string, []> x_379_pad_type_0 = const()[name = tensor<string, []>("x_379_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_379_strides_0 = const()[name = tensor<string, []>("x_379_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_379_pad_0 = const()[name = tensor<string, []>("x_379_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_379_dilations_0 = const()[name = tensor<string, []>("x_379_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_379_groups_0 = const()[name = tensor<string, []>("x_379_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 7]> m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62348608)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62389504)))];
            tensor<fp16, [1, 54, 4096]> x_379_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16, dilations = x_379_dilations_0, groups = x_379_groups_0, pad = x_379_pad_0, pad_type = x_379_pad_type_0, strides = x_379_strides_0, weight = m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16, x = x_377_cast_fp16)[name = tensor<string, []>("x_379_cast_fp16")];
            tensor<int32, [3]> x_381_begin_0 = const()[name = tensor<string, []>("x_381_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_381_end_0 = const()[name = tensor<string, []>("x_381_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_381_end_mask_0 = const()[name = tensor<string, []>("x_381_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_381_cast_fp16 = slice_by_index(begin = x_381_begin_0, end = x_381_end_0, end_mask = x_381_end_mask_0, x = x_379_cast_fp16)[name = tensor<string, []>("x_381_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62389696)))];
            tensor<fp16, [1, 27, 4096]> var_2159_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_381_cast_fp16)[name = tensor<string, []>("op_2159_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_279_cast_fp16 = sin(x = var_2159_cast_fp16)[name = tensor<string, []>("s_279_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2163_to_fp16 = const()[name = tensor<string, []>("op_2163_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62389824)))];
            tensor<fp16, [1, 27, 4096]> var_2166_cast_fp16 = mul(x = var_2163_to_fp16, y = s_279_cast_fp16)[name = tensor<string, []>("op_2166_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2167_cast_fp16 = mul(x = var_2166_cast_fp16, y = s_279_cast_fp16)[name = tensor<string, []>("op_2167_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_281_cast_fp16 = add(x = x_381_cast_fp16, y = var_2167_cast_fp16)[name = tensor<string, []>("s_281_cast_fp16")];
            tensor<int32, [3]> input_253_begin_0 = const()[name = tensor<string, []>("input_253_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_253_end_0 = const()[name = tensor<string, []>("input_253_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_253_end_mask_0 = const()[name = tensor<string, []>("input_253_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_253_cast_fp16 = slice_by_index(begin = input_253_begin_0, end = input_253_end_0, end_mask = input_253_end_mask_0, x = x_379_cast_fp16)[name = tensor<string, []>("input_253_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_131_cast_fp16 = leaky_relu(alpha = var_25, x = input_253_cast_fp16)[name = tensor<string, []>("l_131_cast_fp16")];
            tensor<bool, []> input_255_interleave_0 = const()[name = tensor<string, []>("input_255_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_255_cast_fp16 = concat(axis = var_30, interleave = input_255_interleave_0, values = (s_281_cast_fp16, l_131_cast_fp16))[name = tensor<string, []>("input_255_cast_fp16")];
            tensor<int32, [6]> x_383_pad_0 = const()[name = tensor<string, []>("x_383_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_383_mode_0 = const()[name = tensor<string, []>("x_383_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_62_to_fp16 = const()[name = tensor<string, []>("const_62_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4102]> x_383_cast_fp16 = pad(constant_val = const_62_to_fp16, mode = x_383_mode_0, pad = x_383_pad_0, x = input_255_cast_fp16)[name = tensor<string, []>("x_383_cast_fp16")];
            tensor<string, []> h_61_pad_type_0 = const()[name = tensor<string, []>("h_61_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_61_strides_0 = const()[name = tensor<string, []>("h_61_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_61_pad_0 = const()[name = tensor<string, []>("h_61_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_61_dilations_0 = const()[name = tensor<string, []>("h_61_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_61_groups_0 = const()[name = tensor<string, []>("h_61_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 7]> m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62389952)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62430848)))];
            tensor<fp16, [1, 54, 4096]> h_61_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_61_dilations_0, groups = h_61_groups_0, pad = h_61_pad_0, pad_type = h_61_pad_type_0, strides = h_61_strides_0, weight = m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16, x = x_383_cast_fp16)[name = tensor<string, []>("h_61_cast_fp16")];
            tensor<fp16, [1, 54, 4096]> x_385_cast_fp16 = add(x = x_339_cast_fp16, y = h_61_cast_fp16)[name = tensor<string, []>("x_385_cast_fp16")];
            tensor<int32, [3]> x_387_begin_0 = const()[name = tensor<string, []>("x_387_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_387_end_0 = const()[name = tensor<string, []>("x_387_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_387_end_mask_0 = const()[name = tensor<string, []>("x_387_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_387_cast_fp16 = slice_by_index(begin = x_387_begin_0, end = x_387_end_0, end_mask = x_387_end_mask_0, x = x_385_cast_fp16)[name = tensor<string, []>("x_387_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62431040)))];
            tensor<fp16, [1, 27, 4096]> var_2192_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_387_cast_fp16)[name = tensor<string, []>("op_2192_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_283_cast_fp16 = sin(x = var_2192_cast_fp16)[name = tensor<string, []>("s_283_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2196_to_fp16 = const()[name = tensor<string, []>("op_2196_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62431168)))];
            tensor<fp16, [1, 27, 4096]> var_2199_cast_fp16 = mul(x = var_2196_to_fp16, y = s_283_cast_fp16)[name = tensor<string, []>("op_2199_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2200_cast_fp16 = mul(x = var_2199_cast_fp16, y = s_283_cast_fp16)[name = tensor<string, []>("op_2200_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_285_cast_fp16 = add(x = x_387_cast_fp16, y = var_2200_cast_fp16)[name = tensor<string, []>("s_285_cast_fp16")];
            tensor<int32, [3]> input_257_begin_0 = const()[name = tensor<string, []>("input_257_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_257_end_0 = const()[name = tensor<string, []>("input_257_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_257_end_mask_0 = const()[name = tensor<string, []>("input_257_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_257_cast_fp16 = slice_by_index(begin = input_257_begin_0, end = input_257_end_0, end_mask = input_257_end_mask_0, x = x_385_cast_fp16)[name = tensor<string, []>("input_257_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_133_cast_fp16 = leaky_relu(alpha = var_25, x = input_257_cast_fp16)[name = tensor<string, []>("l_133_cast_fp16")];
            tensor<bool, []> input_259_interleave_0 = const()[name = tensor<string, []>("input_259_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_259_cast_fp16 = concat(axis = var_30, interleave = input_259_interleave_0, values = (s_285_cast_fp16, l_133_cast_fp16))[name = tensor<string, []>("input_259_cast_fp16")];
            tensor<int32, [6]> x_389_pad_0 = const()[name = tensor<string, []>("x_389_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 18, 0])];
            tensor<string, []> x_389_mode_0 = const()[name = tensor<string, []>("x_389_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_63_to_fp16 = const()[name = tensor<string, []>("const_63_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4114]> x_389_cast_fp16 = pad(constant_val = const_63_to_fp16, mode = x_389_mode_0, pad = x_389_pad_0, x = input_259_cast_fp16)[name = tensor<string, []>("x_389_cast_fp16")];
            tensor<string, []> x_391_pad_type_0 = const()[name = tensor<string, []>("x_391_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_391_dilations_0 = const()[name = tensor<string, []>("x_391_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_391_strides_0 = const()[name = tensor<string, []>("x_391_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_391_pad_0 = const()[name = tensor<string, []>("x_391_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_391_groups_0 = const()[name = tensor<string, []>("x_391_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 7]> m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62431296)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62472192)))];
            tensor<fp16, [1, 54, 4096]> x_391_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16, dilations = x_391_dilations_0, groups = x_391_groups_0, pad = x_391_pad_0, pad_type = x_391_pad_type_0, strides = x_391_strides_0, weight = m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16, x = x_389_cast_fp16)[name = tensor<string, []>("x_391_cast_fp16")];
            tensor<int32, [3]> x_393_begin_0 = const()[name = tensor<string, []>("x_393_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_393_end_0 = const()[name = tensor<string, []>("x_393_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_393_end_mask_0 = const()[name = tensor<string, []>("x_393_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_393_cast_fp16 = slice_by_index(begin = x_393_begin_0, end = x_393_end_0, end_mask = x_393_end_mask_0, x = x_391_cast_fp16)[name = tensor<string, []>("x_393_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62472384)))];
            tensor<fp16, [1, 27, 4096]> var_2220_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_393_cast_fp16)[name = tensor<string, []>("op_2220_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_287_cast_fp16 = sin(x = var_2220_cast_fp16)[name = tensor<string, []>("s_287_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2224_to_fp16 = const()[name = tensor<string, []>("op_2224_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62472512)))];
            tensor<fp16, [1, 27, 4096]> var_2227_cast_fp16 = mul(x = var_2224_to_fp16, y = s_287_cast_fp16)[name = tensor<string, []>("op_2227_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2228_cast_fp16 = mul(x = var_2227_cast_fp16, y = s_287_cast_fp16)[name = tensor<string, []>("op_2228_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_289_cast_fp16 = add(x = x_393_cast_fp16, y = var_2228_cast_fp16)[name = tensor<string, []>("s_289_cast_fp16")];
            tensor<int32, [3]> input_261_begin_0 = const()[name = tensor<string, []>("input_261_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_261_end_0 = const()[name = tensor<string, []>("input_261_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_261_end_mask_0 = const()[name = tensor<string, []>("input_261_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_261_cast_fp16 = slice_by_index(begin = input_261_begin_0, end = input_261_end_0, end_mask = input_261_end_mask_0, x = x_391_cast_fp16)[name = tensor<string, []>("input_261_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_135_cast_fp16 = leaky_relu(alpha = var_25, x = input_261_cast_fp16)[name = tensor<string, []>("l_135_cast_fp16")];
            tensor<bool, []> input_263_interleave_0 = const()[name = tensor<string, []>("input_263_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_263_cast_fp16 = concat(axis = var_30, interleave = input_263_interleave_0, values = (s_289_cast_fp16, l_135_cast_fp16))[name = tensor<string, []>("input_263_cast_fp16")];
            tensor<int32, [6]> x_395_pad_0 = const()[name = tensor<string, []>("x_395_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_395_mode_0 = const()[name = tensor<string, []>("x_395_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_64_to_fp16 = const()[name = tensor<string, []>("const_64_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4102]> x_395_cast_fp16 = pad(constant_val = const_64_to_fp16, mode = x_395_mode_0, pad = x_395_pad_0, x = input_263_cast_fp16)[name = tensor<string, []>("x_395_cast_fp16")];
            tensor<string, []> h_63_pad_type_0 = const()[name = tensor<string, []>("h_63_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_63_strides_0 = const()[name = tensor<string, []>("h_63_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_63_pad_0 = const()[name = tensor<string, []>("h_63_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_63_dilations_0 = const()[name = tensor<string, []>("h_63_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_63_groups_0 = const()[name = tensor<string, []>("h_63_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 7]> m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62472640)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62513536)))];
            tensor<fp16, [1, 54, 4096]> h_63_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_63_dilations_0, groups = h_63_groups_0, pad = h_63_pad_0, pad_type = h_63_pad_type_0, strides = h_63_strides_0, weight = m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16, x = x_395_cast_fp16)[name = tensor<string, []>("h_63_cast_fp16")];
            tensor<fp16, [1, 54, 4096]> x_397_cast_fp16 = add(x = x_385_cast_fp16, y = h_63_cast_fp16)[name = tensor<string, []>("x_397_cast_fp16")];
            tensor<int32, [3]> x_399_begin_0 = const()[name = tensor<string, []>("x_399_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_399_end_0 = const()[name = tensor<string, []>("x_399_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_399_end_mask_0 = const()[name = tensor<string, []>("x_399_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_399_cast_fp16 = slice_by_index(begin = x_399_begin_0, end = x_399_end_0, end_mask = x_399_end_mask_0, x = x_397_cast_fp16)[name = tensor<string, []>("x_399_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62513728)))];
            tensor<fp16, [1, 27, 4096]> var_2253_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_399_cast_fp16)[name = tensor<string, []>("op_2253_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_291_cast_fp16 = sin(x = var_2253_cast_fp16)[name = tensor<string, []>("s_291_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2257_to_fp16 = const()[name = tensor<string, []>("op_2257_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62513856)))];
            tensor<fp16, [1, 27, 4096]> var_2260_cast_fp16 = mul(x = var_2257_to_fp16, y = s_291_cast_fp16)[name = tensor<string, []>("op_2260_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2261_cast_fp16 = mul(x = var_2260_cast_fp16, y = s_291_cast_fp16)[name = tensor<string, []>("op_2261_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_293_cast_fp16 = add(x = x_399_cast_fp16, y = var_2261_cast_fp16)[name = tensor<string, []>("s_293_cast_fp16")];
            tensor<int32, [3]> input_265_begin_0 = const()[name = tensor<string, []>("input_265_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_265_end_0 = const()[name = tensor<string, []>("input_265_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_265_end_mask_0 = const()[name = tensor<string, []>("input_265_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_265_cast_fp16 = slice_by_index(begin = input_265_begin_0, end = input_265_end_0, end_mask = input_265_end_mask_0, x = x_397_cast_fp16)[name = tensor<string, []>("input_265_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_137_cast_fp16 = leaky_relu(alpha = var_25, x = input_265_cast_fp16)[name = tensor<string, []>("l_137_cast_fp16")];
            tensor<bool, []> input_267_interleave_0 = const()[name = tensor<string, []>("input_267_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_267_cast_fp16 = concat(axis = var_30, interleave = input_267_interleave_0, values = (s_293_cast_fp16, l_137_cast_fp16))[name = tensor<string, []>("input_267_cast_fp16")];
            tensor<int32, [6]> x_401_pad_0 = const()[name = tensor<string, []>("x_401_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 30, 0])];
            tensor<string, []> x_401_mode_0 = const()[name = tensor<string, []>("x_401_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_65_to_fp16 = const()[name = tensor<string, []>("const_65_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4126]> x_401_cast_fp16 = pad(constant_val = const_65_to_fp16, mode = x_401_mode_0, pad = x_401_pad_0, x = input_267_cast_fp16)[name = tensor<string, []>("x_401_cast_fp16")];
            tensor<string, []> x_403_pad_type_0 = const()[name = tensor<string, []>("x_403_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_403_dilations_0 = const()[name = tensor<string, []>("x_403_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_403_strides_0 = const()[name = tensor<string, []>("x_403_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_403_pad_0 = const()[name = tensor<string, []>("x_403_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_403_groups_0 = const()[name = tensor<string, []>("x_403_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 7]> m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62513984)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62554880)))];
            tensor<fp16, [1, 54, 4096]> x_403_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16, dilations = x_403_dilations_0, groups = x_403_groups_0, pad = x_403_pad_0, pad_type = x_403_pad_type_0, strides = x_403_strides_0, weight = m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16, x = x_401_cast_fp16)[name = tensor<string, []>("x_403_cast_fp16")];
            tensor<int32, [3]> x_405_begin_0 = const()[name = tensor<string, []>("x_405_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_405_end_0 = const()[name = tensor<string, []>("x_405_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_405_end_mask_0 = const()[name = tensor<string, []>("x_405_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_405_cast_fp16 = slice_by_index(begin = x_405_begin_0, end = x_405_end_0, end_mask = x_405_end_mask_0, x = x_403_cast_fp16)[name = tensor<string, []>("x_405_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62555072)))];
            tensor<fp16, [1, 27, 4096]> var_2281_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_405_cast_fp16)[name = tensor<string, []>("op_2281_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_295_cast_fp16 = sin(x = var_2281_cast_fp16)[name = tensor<string, []>("s_295_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2285_to_fp16 = const()[name = tensor<string, []>("op_2285_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62555200)))];
            tensor<fp16, [1, 27, 4096]> var_2288_cast_fp16 = mul(x = var_2285_to_fp16, y = s_295_cast_fp16)[name = tensor<string, []>("op_2288_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2289_cast_fp16 = mul(x = var_2288_cast_fp16, y = s_295_cast_fp16)[name = tensor<string, []>("op_2289_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_297_cast_fp16 = add(x = x_405_cast_fp16, y = var_2289_cast_fp16)[name = tensor<string, []>("s_297_cast_fp16")];
            tensor<int32, [3]> input_269_begin_0 = const()[name = tensor<string, []>("input_269_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_269_end_0 = const()[name = tensor<string, []>("input_269_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_269_end_mask_0 = const()[name = tensor<string, []>("input_269_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_269_cast_fp16 = slice_by_index(begin = input_269_begin_0, end = input_269_end_0, end_mask = input_269_end_mask_0, x = x_403_cast_fp16)[name = tensor<string, []>("input_269_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_139_cast_fp16 = leaky_relu(alpha = var_25, x = input_269_cast_fp16)[name = tensor<string, []>("l_139_cast_fp16")];
            tensor<bool, []> input_271_interleave_0 = const()[name = tensor<string, []>("input_271_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_271_cast_fp16 = concat(axis = var_30, interleave = input_271_interleave_0, values = (s_297_cast_fp16, l_139_cast_fp16))[name = tensor<string, []>("input_271_cast_fp16")];
            tensor<int32, [6]> x_407_pad_0 = const()[name = tensor<string, []>("x_407_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_407_mode_0 = const()[name = tensor<string, []>("x_407_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_66_to_fp16 = const()[name = tensor<string, []>("const_66_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4102]> x_407_cast_fp16 = pad(constant_val = const_66_to_fp16, mode = x_407_mode_0, pad = x_407_pad_0, x = input_271_cast_fp16)[name = tensor<string, []>("x_407_cast_fp16")];
            tensor<string, []> h_65_pad_type_0 = const()[name = tensor<string, []>("h_65_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_65_strides_0 = const()[name = tensor<string, []>("h_65_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_65_pad_0 = const()[name = tensor<string, []>("h_65_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_65_dilations_0 = const()[name = tensor<string, []>("h_65_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_65_groups_0 = const()[name = tensor<string, []>("h_65_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 7]> m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62555328)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62596224)))];
            tensor<fp16, [1, 54, 4096]> h_65_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_65_dilations_0, groups = h_65_groups_0, pad = h_65_pad_0, pad_type = h_65_pad_type_0, strides = h_65_strides_0, weight = m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16, x = x_407_cast_fp16)[name = tensor<string, []>("h_65_cast_fp16")];
            tensor<fp16, [1, 54, 4096]> o_13_cast_fp16 = add(x = x_397_cast_fp16, y = h_65_cast_fp16)[name = tensor<string, []>("o_13_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62596416)))];
            tensor<fp16, [1, 27, 4096]> var_2320_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_341_cast_fp16)[name = tensor<string, []>("op_2320_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_299_cast_fp16 = sin(x = var_2320_cast_fp16)[name = tensor<string, []>("s_299_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2324_to_fp16 = const()[name = tensor<string, []>("op_2324_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62596544)))];
            tensor<fp16, [1, 27, 4096]> var_2327_cast_fp16 = mul(x = var_2324_to_fp16, y = s_299_cast_fp16)[name = tensor<string, []>("op_2327_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2328_cast_fp16 = mul(x = var_2327_cast_fp16, y = s_299_cast_fp16)[name = tensor<string, []>("op_2328_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_301_cast_fp16 = add(x = x_341_cast_fp16, y = var_2328_cast_fp16)[name = tensor<string, []>("s_301_cast_fp16")];
            tensor<bool, []> input_275_interleave_0 = const()[name = tensor<string, []>("input_275_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_275_cast_fp16 = concat(axis = var_30, interleave = input_275_interleave_0, values = (s_301_cast_fp16, l_117_cast_fp16))[name = tensor<string, []>("input_275_cast_fp16")];
            tensor<int32, [6]> x_411_pad_0 = const()[name = tensor<string, []>("x_411_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_411_mode_0 = const()[name = tensor<string, []>("x_411_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_67_to_fp16 = const()[name = tensor<string, []>("const_67_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4106]> x_411_cast_fp16 = pad(constant_val = const_67_to_fp16, mode = x_411_mode_0, pad = x_411_pad_0, x = input_275_cast_fp16)[name = tensor<string, []>("x_411_cast_fp16")];
            tensor<string, []> x_413_pad_type_0 = const()[name = tensor<string, []>("x_413_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_413_strides_0 = const()[name = tensor<string, []>("x_413_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_413_pad_0 = const()[name = tensor<string, []>("x_413_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_413_dilations_0 = const()[name = tensor<string, []>("x_413_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_413_groups_0 = const()[name = tensor<string, []>("x_413_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 11]> m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62596672)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62660928)))];
            tensor<fp16, [1, 54, 4096]> x_413_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16, dilations = x_413_dilations_0, groups = x_413_groups_0, pad = x_413_pad_0, pad_type = x_413_pad_type_0, strides = x_413_strides_0, weight = m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16, x = x_411_cast_fp16)[name = tensor<string, []>("x_413_cast_fp16")];
            tensor<int32, [3]> x_415_begin_0 = const()[name = tensor<string, []>("x_415_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_415_end_0 = const()[name = tensor<string, []>("x_415_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_415_end_mask_0 = const()[name = tensor<string, []>("x_415_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_415_cast_fp16 = slice_by_index(begin = x_415_begin_0, end = x_415_end_0, end_mask = x_415_end_mask_0, x = x_413_cast_fp16)[name = tensor<string, []>("x_415_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62661120)))];
            tensor<fp16, [1, 27, 4096]> var_2348_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_415_cast_fp16)[name = tensor<string, []>("op_2348_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_303_cast_fp16 = sin(x = var_2348_cast_fp16)[name = tensor<string, []>("s_303_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2352_to_fp16 = const()[name = tensor<string, []>("op_2352_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62661248)))];
            tensor<fp16, [1, 27, 4096]> var_2355_cast_fp16 = mul(x = var_2352_to_fp16, y = s_303_cast_fp16)[name = tensor<string, []>("op_2355_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2356_cast_fp16 = mul(x = var_2355_cast_fp16, y = s_303_cast_fp16)[name = tensor<string, []>("op_2356_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_305_cast_fp16 = add(x = x_415_cast_fp16, y = var_2356_cast_fp16)[name = tensor<string, []>("s_305_cast_fp16")];
            tensor<int32, [3]> input_277_begin_0 = const()[name = tensor<string, []>("input_277_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_277_end_0 = const()[name = tensor<string, []>("input_277_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_277_end_mask_0 = const()[name = tensor<string, []>("input_277_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_277_cast_fp16 = slice_by_index(begin = input_277_begin_0, end = input_277_end_0, end_mask = input_277_end_mask_0, x = x_413_cast_fp16)[name = tensor<string, []>("input_277_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_143_cast_fp16 = leaky_relu(alpha = var_25, x = input_277_cast_fp16)[name = tensor<string, []>("l_143_cast_fp16")];
            tensor<bool, []> input_279_interleave_0 = const()[name = tensor<string, []>("input_279_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_279_cast_fp16 = concat(axis = var_30, interleave = input_279_interleave_0, values = (s_305_cast_fp16, l_143_cast_fp16))[name = tensor<string, []>("input_279_cast_fp16")];
            tensor<int32, [6]> x_417_pad_0 = const()[name = tensor<string, []>("x_417_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_417_mode_0 = const()[name = tensor<string, []>("x_417_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_68_to_fp16 = const()[name = tensor<string, []>("const_68_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4106]> x_417_cast_fp16 = pad(constant_val = const_68_to_fp16, mode = x_417_mode_0, pad = x_417_pad_0, x = input_279_cast_fp16)[name = tensor<string, []>("x_417_cast_fp16")];
            tensor<string, []> h_67_pad_type_0 = const()[name = tensor<string, []>("h_67_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_67_strides_0 = const()[name = tensor<string, []>("h_67_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_67_pad_0 = const()[name = tensor<string, []>("h_67_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_67_dilations_0 = const()[name = tensor<string, []>("h_67_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_67_groups_0 = const()[name = tensor<string, []>("h_67_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 11]> m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62661376)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62725632)))];
            tensor<fp16, [1, 54, 4096]> h_67_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_67_dilations_0, groups = h_67_groups_0, pad = h_67_pad_0, pad_type = h_67_pad_type_0, strides = h_67_strides_0, weight = m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16, x = x_417_cast_fp16)[name = tensor<string, []>("h_67_cast_fp16")];
            tensor<fp16, [1, 54, 4096]> x_419_cast_fp16 = add(x = x_339_cast_fp16, y = h_67_cast_fp16)[name = tensor<string, []>("x_419_cast_fp16")];
            tensor<int32, [3]> x_421_begin_0 = const()[name = tensor<string, []>("x_421_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_421_end_0 = const()[name = tensor<string, []>("x_421_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_421_end_mask_0 = const()[name = tensor<string, []>("x_421_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_421_cast_fp16 = slice_by_index(begin = x_421_begin_0, end = x_421_end_0, end_mask = x_421_end_mask_0, x = x_419_cast_fp16)[name = tensor<string, []>("x_421_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62725824)))];
            tensor<fp16, [1, 27, 4096]> var_2381_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_421_cast_fp16)[name = tensor<string, []>("op_2381_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_307_cast_fp16 = sin(x = var_2381_cast_fp16)[name = tensor<string, []>("s_307_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2385_to_fp16 = const()[name = tensor<string, []>("op_2385_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62725952)))];
            tensor<fp16, [1, 27, 4096]> var_2388_cast_fp16 = mul(x = var_2385_to_fp16, y = s_307_cast_fp16)[name = tensor<string, []>("op_2388_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2389_cast_fp16 = mul(x = var_2388_cast_fp16, y = s_307_cast_fp16)[name = tensor<string, []>("op_2389_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_309_cast_fp16 = add(x = x_421_cast_fp16, y = var_2389_cast_fp16)[name = tensor<string, []>("s_309_cast_fp16")];
            tensor<int32, [3]> input_281_begin_0 = const()[name = tensor<string, []>("input_281_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_281_end_0 = const()[name = tensor<string, []>("input_281_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_281_end_mask_0 = const()[name = tensor<string, []>("input_281_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_281_cast_fp16 = slice_by_index(begin = input_281_begin_0, end = input_281_end_0, end_mask = input_281_end_mask_0, x = x_419_cast_fp16)[name = tensor<string, []>("input_281_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_145_cast_fp16 = leaky_relu(alpha = var_25, x = input_281_cast_fp16)[name = tensor<string, []>("l_145_cast_fp16")];
            tensor<bool, []> input_283_interleave_0 = const()[name = tensor<string, []>("input_283_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_283_cast_fp16 = concat(axis = var_30, interleave = input_283_interleave_0, values = (s_309_cast_fp16, l_145_cast_fp16))[name = tensor<string, []>("input_283_cast_fp16")];
            tensor<int32, [6]> x_423_pad_0 = const()[name = tensor<string, []>("x_423_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 30, 0])];
            tensor<string, []> x_423_mode_0 = const()[name = tensor<string, []>("x_423_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_69_to_fp16 = const()[name = tensor<string, []>("const_69_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4126]> x_423_cast_fp16 = pad(constant_val = const_69_to_fp16, mode = x_423_mode_0, pad = x_423_pad_0, x = input_283_cast_fp16)[name = tensor<string, []>("x_423_cast_fp16")];
            tensor<string, []> x_425_pad_type_0 = const()[name = tensor<string, []>("x_425_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_425_dilations_0 = const()[name = tensor<string, []>("x_425_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_425_strides_0 = const()[name = tensor<string, []>("x_425_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_425_pad_0 = const()[name = tensor<string, []>("x_425_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_425_groups_0 = const()[name = tensor<string, []>("x_425_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 11]> m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62726080)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62790336)))];
            tensor<fp16, [1, 54, 4096]> x_425_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16, dilations = x_425_dilations_0, groups = x_425_groups_0, pad = x_425_pad_0, pad_type = x_425_pad_type_0, strides = x_425_strides_0, weight = m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16, x = x_423_cast_fp16)[name = tensor<string, []>("x_425_cast_fp16")];
            tensor<int32, [3]> x_427_begin_0 = const()[name = tensor<string, []>("x_427_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_427_end_0 = const()[name = tensor<string, []>("x_427_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_427_end_mask_0 = const()[name = tensor<string, []>("x_427_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_427_cast_fp16 = slice_by_index(begin = x_427_begin_0, end = x_427_end_0, end_mask = x_427_end_mask_0, x = x_425_cast_fp16)[name = tensor<string, []>("x_427_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62790528)))];
            tensor<fp16, [1, 27, 4096]> var_2409_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_427_cast_fp16)[name = tensor<string, []>("op_2409_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_311_cast_fp16 = sin(x = var_2409_cast_fp16)[name = tensor<string, []>("s_311_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2413_to_fp16 = const()[name = tensor<string, []>("op_2413_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62790656)))];
            tensor<fp16, [1, 27, 4096]> var_2416_cast_fp16 = mul(x = var_2413_to_fp16, y = s_311_cast_fp16)[name = tensor<string, []>("op_2416_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2417_cast_fp16 = mul(x = var_2416_cast_fp16, y = s_311_cast_fp16)[name = tensor<string, []>("op_2417_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_313_cast_fp16 = add(x = x_427_cast_fp16, y = var_2417_cast_fp16)[name = tensor<string, []>("s_313_cast_fp16")];
            tensor<int32, [3]> input_285_begin_0 = const()[name = tensor<string, []>("input_285_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_285_end_0 = const()[name = tensor<string, []>("input_285_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_285_end_mask_0 = const()[name = tensor<string, []>("input_285_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_285_cast_fp16 = slice_by_index(begin = input_285_begin_0, end = input_285_end_0, end_mask = input_285_end_mask_0, x = x_425_cast_fp16)[name = tensor<string, []>("input_285_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_147_cast_fp16 = leaky_relu(alpha = var_25, x = input_285_cast_fp16)[name = tensor<string, []>("l_147_cast_fp16")];
            tensor<bool, []> input_287_interleave_0 = const()[name = tensor<string, []>("input_287_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_287_cast_fp16 = concat(axis = var_30, interleave = input_287_interleave_0, values = (s_313_cast_fp16, l_147_cast_fp16))[name = tensor<string, []>("input_287_cast_fp16")];
            tensor<int32, [6]> x_429_pad_0 = const()[name = tensor<string, []>("x_429_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_429_mode_0 = const()[name = tensor<string, []>("x_429_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_70_to_fp16 = const()[name = tensor<string, []>("const_70_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4106]> x_429_cast_fp16 = pad(constant_val = const_70_to_fp16, mode = x_429_mode_0, pad = x_429_pad_0, x = input_287_cast_fp16)[name = tensor<string, []>("x_429_cast_fp16")];
            tensor<string, []> h_69_pad_type_0 = const()[name = tensor<string, []>("h_69_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_69_strides_0 = const()[name = tensor<string, []>("h_69_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_69_pad_0 = const()[name = tensor<string, []>("h_69_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_69_dilations_0 = const()[name = tensor<string, []>("h_69_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_69_groups_0 = const()[name = tensor<string, []>("h_69_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 11]> m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62790784)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62855040)))];
            tensor<fp16, [1, 54, 4096]> h_69_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_69_dilations_0, groups = h_69_groups_0, pad = h_69_pad_0, pad_type = h_69_pad_type_0, strides = h_69_strides_0, weight = m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16, x = x_429_cast_fp16)[name = tensor<string, []>("h_69_cast_fp16")];
            tensor<fp16, [1, 54, 4096]> x_431_cast_fp16 = add(x = x_419_cast_fp16, y = h_69_cast_fp16)[name = tensor<string, []>("x_431_cast_fp16")];
            tensor<int32, [3]> x_433_begin_0 = const()[name = tensor<string, []>("x_433_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_433_end_0 = const()[name = tensor<string, []>("x_433_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_433_end_mask_0 = const()[name = tensor<string, []>("x_433_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_433_cast_fp16 = slice_by_index(begin = x_433_begin_0, end = x_433_end_0, end_mask = x_433_end_mask_0, x = x_431_cast_fp16)[name = tensor<string, []>("x_433_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62855232)))];
            tensor<fp16, [1, 27, 4096]> var_2442_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_433_cast_fp16)[name = tensor<string, []>("op_2442_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_315_cast_fp16 = sin(x = var_2442_cast_fp16)[name = tensor<string, []>("s_315_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2446_to_fp16 = const()[name = tensor<string, []>("op_2446_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62855360)))];
            tensor<fp16, [1, 27, 4096]> var_2449_cast_fp16 = mul(x = var_2446_to_fp16, y = s_315_cast_fp16)[name = tensor<string, []>("op_2449_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2450_cast_fp16 = mul(x = var_2449_cast_fp16, y = s_315_cast_fp16)[name = tensor<string, []>("op_2450_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_317_cast_fp16 = add(x = x_433_cast_fp16, y = var_2450_cast_fp16)[name = tensor<string, []>("s_317_cast_fp16")];
            tensor<int32, [3]> input_289_begin_0 = const()[name = tensor<string, []>("input_289_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_289_end_0 = const()[name = tensor<string, []>("input_289_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_289_end_mask_0 = const()[name = tensor<string, []>("input_289_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_289_cast_fp16 = slice_by_index(begin = input_289_begin_0, end = input_289_end_0, end_mask = input_289_end_mask_0, x = x_431_cast_fp16)[name = tensor<string, []>("input_289_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_149_cast_fp16 = leaky_relu(alpha = var_25, x = input_289_cast_fp16)[name = tensor<string, []>("l_149_cast_fp16")];
            tensor<bool, []> input_291_interleave_0 = const()[name = tensor<string, []>("input_291_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_291_cast_fp16 = concat(axis = var_30, interleave = input_291_interleave_0, values = (s_317_cast_fp16, l_149_cast_fp16))[name = tensor<string, []>("input_291_cast_fp16")];
            tensor<int32, [6]> x_435_pad_0 = const()[name = tensor<string, []>("x_435_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 50, 0])];
            tensor<string, []> x_435_mode_0 = const()[name = tensor<string, []>("x_435_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_71_to_fp16 = const()[name = tensor<string, []>("const_71_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4146]> x_435_cast_fp16 = pad(constant_val = const_71_to_fp16, mode = x_435_mode_0, pad = x_435_pad_0, x = input_291_cast_fp16)[name = tensor<string, []>("x_435_cast_fp16")];
            tensor<string, []> x_437_pad_type_0 = const()[name = tensor<string, []>("x_437_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_437_dilations_0 = const()[name = tensor<string, []>("x_437_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_437_strides_0 = const()[name = tensor<string, []>("x_437_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_437_pad_0 = const()[name = tensor<string, []>("x_437_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_437_groups_0 = const()[name = tensor<string, []>("x_437_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 11]> m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62855488)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62919744)))];
            tensor<fp16, [1, 54, 4096]> x_437_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16, dilations = x_437_dilations_0, groups = x_437_groups_0, pad = x_437_pad_0, pad_type = x_437_pad_type_0, strides = x_437_strides_0, weight = m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16, x = x_435_cast_fp16)[name = tensor<string, []>("x_437_cast_fp16")];
            tensor<int32, [3]> x_439_begin_0 = const()[name = tensor<string, []>("x_439_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_439_end_0 = const()[name = tensor<string, []>("x_439_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_439_end_mask_0 = const()[name = tensor<string, []>("x_439_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_439_cast_fp16 = slice_by_index(begin = x_439_begin_0, end = x_439_end_0, end_mask = x_439_end_mask_0, x = x_437_cast_fp16)[name = tensor<string, []>("x_439_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62919936)))];
            tensor<fp16, [1, 27, 4096]> var_2470_cast_fp16 = mul(x = m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_439_cast_fp16)[name = tensor<string, []>("op_2470_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_319_cast_fp16 = sin(x = var_2470_cast_fp16)[name = tensor<string, []>("s_319_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2474_to_fp16 = const()[name = tensor<string, []>("op_2474_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62920064)))];
            tensor<fp16, [1, 27, 4096]> var_2477_cast_fp16 = mul(x = var_2474_to_fp16, y = s_319_cast_fp16)[name = tensor<string, []>("op_2477_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2478_cast_fp16 = mul(x = var_2477_cast_fp16, y = s_319_cast_fp16)[name = tensor<string, []>("op_2478_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_321_cast_fp16 = add(x = x_439_cast_fp16, y = var_2478_cast_fp16)[name = tensor<string, []>("s_321_cast_fp16")];
            tensor<int32, [3]> input_293_begin_0 = const()[name = tensor<string, []>("input_293_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_293_end_0 = const()[name = tensor<string, []>("input_293_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_293_end_mask_0 = const()[name = tensor<string, []>("input_293_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_293_cast_fp16 = slice_by_index(begin = input_293_begin_0, end = input_293_end_0, end_mask = input_293_end_mask_0, x = x_437_cast_fp16)[name = tensor<string, []>("input_293_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_151_cast_fp16 = leaky_relu(alpha = var_25, x = input_293_cast_fp16)[name = tensor<string, []>("l_151_cast_fp16")];
            tensor<bool, []> input_295_interleave_0 = const()[name = tensor<string, []>("input_295_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> input_295_cast_fp16 = concat(axis = var_30, interleave = input_295_interleave_0, values = (s_321_cast_fp16, l_151_cast_fp16))[name = tensor<string, []>("input_295_cast_fp16")];
            tensor<int32, [6]> x_441_pad_0 = const()[name = tensor<string, []>("x_441_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_441_mode_0 = const()[name = tensor<string, []>("x_441_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_72_to_fp16 = const()[name = tensor<string, []>("const_72_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 54, 4106]> x_441_cast_fp16 = pad(constant_val = const_72_to_fp16, mode = x_441_mode_0, pad = x_441_pad_0, x = input_295_cast_fp16)[name = tensor<string, []>("x_441_cast_fp16")];
            tensor<string, []> h_71_pad_type_0 = const()[name = tensor<string, []>("h_71_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_71_strides_0 = const()[name = tensor<string, []>("h_71_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_71_pad_0 = const()[name = tensor<string, []>("h_71_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_71_dilations_0 = const()[name = tensor<string, []>("h_71_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_71_groups_0 = const()[name = tensor<string, []>("h_71_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [54, 54, 11]> m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [54, 54, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62920192)))];
            tensor<fp16, [54]> m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [54]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62984448)))];
            tensor<fp16, [1, 54, 4096]> h_71_cast_fp16 = conv(bias = m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_71_dilations_0, groups = h_71_groups_0, pad = h_71_pad_0, pad_type = h_71_pad_type_0, strides = h_71_strides_0, weight = m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16, x = x_441_cast_fp16)[name = tensor<string, []>("h_71_cast_fp16")];
            tensor<fp16, [1, 54, 4096]> o_15_cast_fp16 = add(x = x_431_cast_fp16, y = h_71_cast_fp16)[name = tensor<string, []>("o_15_cast_fp16")];
            tensor<fp16, [1, 54, 4096]> s_325_cast_fp16 = add(x = s_323_cast_fp16, y = o_13_cast_fp16)[name = tensor<string, []>("s_325_cast_fp16")];
            tensor<fp16, [1, 54, 4096]> s_327_cast_fp16 = add(x = s_325_cast_fp16, y = o_15_cast_fp16)[name = tensor<string, []>("s_327_cast_fp16")];
            tensor<fp16, []> _inversed_x_443_y_0_to_fp16 = const()[name = tensor<string, []>("_inversed_x_443_y_0_to_fp16"), val = tensor<fp16, []>(0x1.554p-2)];
            tensor<fp16, [1, 54, 4096]> _inversed_x_443_cast_fp16 = mul(x = s_327_cast_fp16, y = _inversed_x_443_y_0_to_fp16)[name = tensor<string, []>("_inversed_x_443_cast_fp16")];
            tensor<int32, [3]> x_445_begin_0 = const()[name = tensor<string, []>("x_445_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_445_end_0 = const()[name = tensor<string, []>("x_445_end_0"), val = tensor<int32, [3]>([1, 27, 4096])];
            tensor<bool, [3]> x_445_end_mask_0 = const()[name = tensor<string, []>("x_445_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 27, 4096]> x_445_cast_fp16 = slice_by_index(begin = x_445_begin_0, end = x_445_end_0, end_mask = x_445_end_mask_0, x = _inversed_x_443_cast_fp16)[name = tensor<string, []>("x_445_cast_fp16")];
            tensor<fp16, [1, 27, 1]> m_decoder_activations_4_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_activations_4_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62984640)))];
            tensor<fp16, [1, 27, 4096]> var_2503_cast_fp16 = mul(x = m_decoder_activations_4_snake_act_alpha_to_fp16, y = x_445_cast_fp16)[name = tensor<string, []>("op_2503_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_329_cast_fp16 = sin(x = var_2503_cast_fp16)[name = tensor<string, []>("s_329_cast_fp16")];
            tensor<fp16, [1, 27, 1]> var_2507_to_fp16 = const()[name = tensor<string, []>("op_2507_to_fp16"), val = tensor<fp16, [1, 27, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62984768)))];
            tensor<fp16, [1, 27, 4096]> var_2510_cast_fp16 = mul(x = var_2507_to_fp16, y = s_329_cast_fp16)[name = tensor<string, []>("op_2510_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> var_2511_cast_fp16 = mul(x = var_2510_cast_fp16, y = s_329_cast_fp16)[name = tensor<string, []>("op_2511_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> s_331_cast_fp16 = add(x = x_445_cast_fp16, y = var_2511_cast_fp16)[name = tensor<string, []>("s_331_cast_fp16")];
            tensor<int32, [3]> input_297_begin_0 = const()[name = tensor<string, []>("input_297_begin_0"), val = tensor<int32, [3]>([0, 27, 0])];
            tensor<int32, [3]> input_297_end_0 = const()[name = tensor<string, []>("input_297_end_0"), val = tensor<int32, [3]>([1, 54, 4096])];
            tensor<bool, [3]> input_297_end_mask_0 = const()[name = tensor<string, []>("input_297_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 27, 4096]> input_297_cast_fp16 = slice_by_index(begin = input_297_begin_0, end = input_297_end_0, end_mask = input_297_end_mask_0, x = _inversed_x_443_cast_fp16)[name = tensor<string, []>("input_297_cast_fp16")];
            tensor<fp16, [1, 27, 4096]> l_153_cast_fp16 = leaky_relu(alpha = var_25, x = input_297_cast_fp16)[name = tensor<string, []>("l_153_cast_fp16")];
            tensor<bool, []> x_447_interleave_0 = const()[name = tensor<string, []>("x_447_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 54, 4096]> x_447_cast_fp16 = concat(axis = var_30, interleave = x_447_interleave_0, values = (s_331_cast_fp16, l_153_cast_fp16))[name = tensor<string, []>("x_447_cast_fp16")];
            tensor<string, []> y_pad_type_0 = const()[name = tensor<string, []>("y_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> y_strides_0 = const()[name = tensor<string, []>("y_strides_0"), val = tensor<int32, [1]>([2])];
            tensor<int32, []> y_groups_0 = const()[name = tensor<string, []>("y_groups_0"), val = tensor<int32, []>(27)];
            tensor<int32, [2]> y_pad_0 = const()[name = tensor<string, []>("y_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_dilations_0 = const()[name = tensor<string, []>("y_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [3]> y_has_output_shape_output_shape_0 = const()[name = tensor<string, []>("y_has_output_shape_output_shape_0"), val = tensor<int32, [3]>([1, 27, 8194])];
            tensor<fp16, [54, 1, 4]> m_decoder_up_sample_conv_layers_4_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_up_sample_conv_layers_4_weight_to_fp16"), val = tensor<fp16, [54, 1, 4]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62984896)))];
            tensor<fp16, [27]> m_decoder_up_sample_conv_layers_4_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_up_sample_conv_layers_4_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62985408)))];
            tensor<fp16, [1, 27, 8194]> y_has_output_shape_cast_fp16 = conv_transpose(bias = m_decoder_up_sample_conv_layers_4_bias_to_fp16, dilations = y_dilations_0, groups = y_groups_0, output_shape = y_has_output_shape_output_shape_0, pad = y_pad_0, pad_type = y_pad_type_0, strides = y_strides_0, weight = m_decoder_up_sample_conv_layers_4_weight_to_fp16, x = x_447_cast_fp16)[name = tensor<string, []>("y_has_output_shape_cast_fp16")];
            tensor<int32, [3]> x_449_begin_0 = const()[name = tensor<string, []>("x_449_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_449_end_0 = const()[name = tensor<string, []>("x_449_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> x_449_end_mask_0 = const()[name = tensor<string, []>("x_449_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [1, 27, 8192]> x_449_cast_fp16 = slice_by_index(begin = x_449_begin_0, end = x_449_end_0, end_mask = x_449_end_mask_0, x = y_has_output_shape_cast_fp16)[name = tensor<string, []>("x_449_cast_fp16")];
            tensor<int32, [3]> x_451_begin_0 = const()[name = tensor<string, []>("x_451_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_451_end_0 = const()[name = tensor<string, []>("x_451_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_451_end_mask_0 = const()[name = tensor<string, []>("x_451_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_451_cast_fp16 = slice_by_index(begin = x_451_begin_0, end = x_451_end_0, end_mask = x_451_end_mask_0, x = x_449_cast_fp16)[name = tensor<string, []>("x_451_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62985536)))];
            tensor<fp16, [1, 13, 8192]> var_2548_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_451_cast_fp16)[name = tensor<string, []>("op_2548_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_333_cast_fp16 = sin(x = var_2548_cast_fp16)[name = tensor<string, []>("s_333_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2552_to_fp16 = const()[name = tensor<string, []>("op_2552_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62985664)))];
            tensor<fp16, [1, 13, 8192]> var_2555_cast_fp16 = mul(x = var_2552_to_fp16, y = s_333_cast_fp16)[name = tensor<string, []>("op_2555_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2556_cast_fp16 = mul(x = var_2555_cast_fp16, y = s_333_cast_fp16)[name = tensor<string, []>("op_2556_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_335_cast_fp16 = add(x = x_451_cast_fp16, y = var_2556_cast_fp16)[name = tensor<string, []>("s_335_cast_fp16")];
            tensor<int32, [3]> input_299_begin_0 = const()[name = tensor<string, []>("input_299_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_299_end_0 = const()[name = tensor<string, []>("input_299_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_299_end_mask_0 = const()[name = tensor<string, []>("input_299_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_299_cast_fp16 = slice_by_index(begin = input_299_begin_0, end = input_299_end_0, end_mask = input_299_end_mask_0, x = x_449_cast_fp16)[name = tensor<string, []>("input_299_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_155_cast_fp16 = leaky_relu(alpha = var_25, x = input_299_cast_fp16)[name = tensor<string, []>("l_155_cast_fp16")];
            tensor<bool, []> input_301_interleave_0 = const()[name = tensor<string, []>("input_301_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_301_cast_fp16 = concat(axis = var_30, interleave = input_301_interleave_0, values = (s_335_cast_fp16, l_155_cast_fp16))[name = tensor<string, []>("input_301_cast_fp16")];
            tensor<int32, [6]> x_453_pad_0 = const()[name = tensor<string, []>("x_453_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_453_mode_0 = const()[name = tensor<string, []>("x_453_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_73_to_fp16 = const()[name = tensor<string, []>("const_73_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8194]> x_453_cast_fp16 = pad(constant_val = const_73_to_fp16, mode = x_453_mode_0, pad = x_453_pad_0, x = input_301_cast_fp16)[name = tensor<string, []>("x_453_cast_fp16")];
            tensor<string, []> x_455_pad_type_0 = const()[name = tensor<string, []>("x_455_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_455_strides_0 = const()[name = tensor<string, []>("x_455_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_455_pad_0 = const()[name = tensor<string, []>("x_455_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_455_dilations_0 = const()[name = tensor<string, []>("x_455_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_455_groups_0 = const()[name = tensor<string, []>("x_455_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 3]> m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62985792)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62990272)))];
            tensor<fp16, [1, 27, 8192]> x_455_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16, dilations = x_455_dilations_0, groups = x_455_groups_0, pad = x_455_pad_0, pad_type = x_455_pad_type_0, strides = x_455_strides_0, weight = m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16, x = x_453_cast_fp16)[name = tensor<string, []>("x_455_cast_fp16")];
            tensor<int32, [3]> x_457_begin_0 = const()[name = tensor<string, []>("x_457_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_457_end_0 = const()[name = tensor<string, []>("x_457_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_457_end_mask_0 = const()[name = tensor<string, []>("x_457_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_457_cast_fp16 = slice_by_index(begin = x_457_begin_0, end = x_457_end_0, end_mask = x_457_end_mask_0, x = x_455_cast_fp16)[name = tensor<string, []>("x_457_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62990400)))];
            tensor<fp16, [1, 13, 8192]> var_2576_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_457_cast_fp16)[name = tensor<string, []>("op_2576_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_337_cast_fp16 = sin(x = var_2576_cast_fp16)[name = tensor<string, []>("s_337_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2580_to_fp16 = const()[name = tensor<string, []>("op_2580_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62990528)))];
            tensor<fp16, [1, 13, 8192]> var_2583_cast_fp16 = mul(x = var_2580_to_fp16, y = s_337_cast_fp16)[name = tensor<string, []>("op_2583_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2584_cast_fp16 = mul(x = var_2583_cast_fp16, y = s_337_cast_fp16)[name = tensor<string, []>("op_2584_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_339_cast_fp16 = add(x = x_457_cast_fp16, y = var_2584_cast_fp16)[name = tensor<string, []>("s_339_cast_fp16")];
            tensor<int32, [3]> input_303_begin_0 = const()[name = tensor<string, []>("input_303_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_303_end_0 = const()[name = tensor<string, []>("input_303_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_303_end_mask_0 = const()[name = tensor<string, []>("input_303_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_303_cast_fp16 = slice_by_index(begin = input_303_begin_0, end = input_303_end_0, end_mask = input_303_end_mask_0, x = x_455_cast_fp16)[name = tensor<string, []>("input_303_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_157_cast_fp16 = leaky_relu(alpha = var_25, x = input_303_cast_fp16)[name = tensor<string, []>("l_157_cast_fp16")];
            tensor<bool, []> input_305_interleave_0 = const()[name = tensor<string, []>("input_305_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_305_cast_fp16 = concat(axis = var_30, interleave = input_305_interleave_0, values = (s_339_cast_fp16, l_157_cast_fp16))[name = tensor<string, []>("input_305_cast_fp16")];
            tensor<int32, [6]> x_459_pad_0 = const()[name = tensor<string, []>("x_459_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_459_mode_0 = const()[name = tensor<string, []>("x_459_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_74_to_fp16 = const()[name = tensor<string, []>("const_74_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8194]> x_459_cast_fp16 = pad(constant_val = const_74_to_fp16, mode = x_459_mode_0, pad = x_459_pad_0, x = input_305_cast_fp16)[name = tensor<string, []>("x_459_cast_fp16")];
            tensor<string, []> h_73_pad_type_0 = const()[name = tensor<string, []>("h_73_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_73_strides_0 = const()[name = tensor<string, []>("h_73_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_73_pad_0 = const()[name = tensor<string, []>("h_73_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_73_dilations_0 = const()[name = tensor<string, []>("h_73_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_73_groups_0 = const()[name = tensor<string, []>("h_73_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 3]> m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62990656)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62995136)))];
            tensor<fp16, [1, 27, 8192]> h_73_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_73_dilations_0, groups = h_73_groups_0, pad = h_73_pad_0, pad_type = h_73_pad_type_0, strides = h_73_strides_0, weight = m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16, x = x_459_cast_fp16)[name = tensor<string, []>("h_73_cast_fp16")];
            tensor<fp16, [1, 27, 8192]> x_461_cast_fp16 = add(x = x_449_cast_fp16, y = h_73_cast_fp16)[name = tensor<string, []>("x_461_cast_fp16")];
            tensor<int32, [3]> x_463_begin_0 = const()[name = tensor<string, []>("x_463_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_463_end_0 = const()[name = tensor<string, []>("x_463_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_463_end_mask_0 = const()[name = tensor<string, []>("x_463_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_463_cast_fp16 = slice_by_index(begin = x_463_begin_0, end = x_463_end_0, end_mask = x_463_end_mask_0, x = x_461_cast_fp16)[name = tensor<string, []>("x_463_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62995264)))];
            tensor<fp16, [1, 13, 8192]> var_2609_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_463_cast_fp16)[name = tensor<string, []>("op_2609_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_341_cast_fp16 = sin(x = var_2609_cast_fp16)[name = tensor<string, []>("s_341_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2613_to_fp16 = const()[name = tensor<string, []>("op_2613_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62995392)))];
            tensor<fp16, [1, 13, 8192]> var_2616_cast_fp16 = mul(x = var_2613_to_fp16, y = s_341_cast_fp16)[name = tensor<string, []>("op_2616_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2617_cast_fp16 = mul(x = var_2616_cast_fp16, y = s_341_cast_fp16)[name = tensor<string, []>("op_2617_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_343_cast_fp16 = add(x = x_463_cast_fp16, y = var_2617_cast_fp16)[name = tensor<string, []>("s_343_cast_fp16")];
            tensor<int32, [3]> input_307_begin_0 = const()[name = tensor<string, []>("input_307_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_307_end_0 = const()[name = tensor<string, []>("input_307_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_307_end_mask_0 = const()[name = tensor<string, []>("input_307_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_307_cast_fp16 = slice_by_index(begin = input_307_begin_0, end = input_307_end_0, end_mask = input_307_end_mask_0, x = x_461_cast_fp16)[name = tensor<string, []>("input_307_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_159_cast_fp16 = leaky_relu(alpha = var_25, x = input_307_cast_fp16)[name = tensor<string, []>("l_159_cast_fp16")];
            tensor<bool, []> input_309_interleave_0 = const()[name = tensor<string, []>("input_309_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_309_cast_fp16 = concat(axis = var_30, interleave = input_309_interleave_0, values = (s_343_cast_fp16, l_159_cast_fp16))[name = tensor<string, []>("input_309_cast_fp16")];
            tensor<int32, [6]> x_465_pad_0 = const()[name = tensor<string, []>("x_465_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_465_mode_0 = const()[name = tensor<string, []>("x_465_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_75_to_fp16 = const()[name = tensor<string, []>("const_75_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8198]> x_465_cast_fp16 = pad(constant_val = const_75_to_fp16, mode = x_465_mode_0, pad = x_465_pad_0, x = input_309_cast_fp16)[name = tensor<string, []>("x_465_cast_fp16")];
            tensor<string, []> x_467_pad_type_0 = const()[name = tensor<string, []>("x_467_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_467_dilations_0 = const()[name = tensor<string, []>("x_467_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_467_strides_0 = const()[name = tensor<string, []>("x_467_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_467_pad_0 = const()[name = tensor<string, []>("x_467_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_467_groups_0 = const()[name = tensor<string, []>("x_467_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 3]> m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(62995520)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63000000)))];
            tensor<fp16, [1, 27, 8192]> x_467_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16, dilations = x_467_dilations_0, groups = x_467_groups_0, pad = x_467_pad_0, pad_type = x_467_pad_type_0, strides = x_467_strides_0, weight = m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16, x = x_465_cast_fp16)[name = tensor<string, []>("x_467_cast_fp16")];
            tensor<int32, [3]> x_469_begin_0 = const()[name = tensor<string, []>("x_469_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_469_end_0 = const()[name = tensor<string, []>("x_469_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_469_end_mask_0 = const()[name = tensor<string, []>("x_469_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_469_cast_fp16 = slice_by_index(begin = x_469_begin_0, end = x_469_end_0, end_mask = x_469_end_mask_0, x = x_467_cast_fp16)[name = tensor<string, []>("x_469_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63000128)))];
            tensor<fp16, [1, 13, 8192]> var_2637_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_469_cast_fp16)[name = tensor<string, []>("op_2637_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_345_cast_fp16 = sin(x = var_2637_cast_fp16)[name = tensor<string, []>("s_345_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2641_to_fp16 = const()[name = tensor<string, []>("op_2641_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63000256)))];
            tensor<fp16, [1, 13, 8192]> var_2644_cast_fp16 = mul(x = var_2641_to_fp16, y = s_345_cast_fp16)[name = tensor<string, []>("op_2644_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2645_cast_fp16 = mul(x = var_2644_cast_fp16, y = s_345_cast_fp16)[name = tensor<string, []>("op_2645_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_347_cast_fp16 = add(x = x_469_cast_fp16, y = var_2645_cast_fp16)[name = tensor<string, []>("s_347_cast_fp16")];
            tensor<int32, [3]> input_311_begin_0 = const()[name = tensor<string, []>("input_311_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_311_end_0 = const()[name = tensor<string, []>("input_311_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_311_end_mask_0 = const()[name = tensor<string, []>("input_311_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_311_cast_fp16 = slice_by_index(begin = input_311_begin_0, end = input_311_end_0, end_mask = input_311_end_mask_0, x = x_467_cast_fp16)[name = tensor<string, []>("input_311_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_161_cast_fp16 = leaky_relu(alpha = var_25, x = input_311_cast_fp16)[name = tensor<string, []>("l_161_cast_fp16")];
            tensor<bool, []> input_313_interleave_0 = const()[name = tensor<string, []>("input_313_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_313_cast_fp16 = concat(axis = var_30, interleave = input_313_interleave_0, values = (s_347_cast_fp16, l_161_cast_fp16))[name = tensor<string, []>("input_313_cast_fp16")];
            tensor<int32, [6]> x_471_pad_0 = const()[name = tensor<string, []>("x_471_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_471_mode_0 = const()[name = tensor<string, []>("x_471_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_76_to_fp16 = const()[name = tensor<string, []>("const_76_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8194]> x_471_cast_fp16 = pad(constant_val = const_76_to_fp16, mode = x_471_mode_0, pad = x_471_pad_0, x = input_313_cast_fp16)[name = tensor<string, []>("x_471_cast_fp16")];
            tensor<string, []> h_75_pad_type_0 = const()[name = tensor<string, []>("h_75_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_75_strides_0 = const()[name = tensor<string, []>("h_75_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_75_pad_0 = const()[name = tensor<string, []>("h_75_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_75_dilations_0 = const()[name = tensor<string, []>("h_75_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_75_groups_0 = const()[name = tensor<string, []>("h_75_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 3]> m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63000384)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63004864)))];
            tensor<fp16, [1, 27, 8192]> h_75_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_75_dilations_0, groups = h_75_groups_0, pad = h_75_pad_0, pad_type = h_75_pad_type_0, strides = h_75_strides_0, weight = m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16, x = x_471_cast_fp16)[name = tensor<string, []>("h_75_cast_fp16")];
            tensor<fp16, [1, 27, 8192]> x_473_cast_fp16 = add(x = x_461_cast_fp16, y = h_75_cast_fp16)[name = tensor<string, []>("x_473_cast_fp16")];
            tensor<int32, [3]> x_475_begin_0 = const()[name = tensor<string, []>("x_475_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_475_end_0 = const()[name = tensor<string, []>("x_475_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_475_end_mask_0 = const()[name = tensor<string, []>("x_475_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_475_cast_fp16 = slice_by_index(begin = x_475_begin_0, end = x_475_end_0, end_mask = x_475_end_mask_0, x = x_473_cast_fp16)[name = tensor<string, []>("x_475_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63004992)))];
            tensor<fp16, [1, 13, 8192]> var_2670_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_475_cast_fp16)[name = tensor<string, []>("op_2670_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_349_cast_fp16 = sin(x = var_2670_cast_fp16)[name = tensor<string, []>("s_349_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2674_to_fp16 = const()[name = tensor<string, []>("op_2674_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63005120)))];
            tensor<fp16, [1, 13, 8192]> var_2677_cast_fp16 = mul(x = var_2674_to_fp16, y = s_349_cast_fp16)[name = tensor<string, []>("op_2677_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2678_cast_fp16 = mul(x = var_2677_cast_fp16, y = s_349_cast_fp16)[name = tensor<string, []>("op_2678_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_351_cast_fp16 = add(x = x_475_cast_fp16, y = var_2678_cast_fp16)[name = tensor<string, []>("s_351_cast_fp16")];
            tensor<int32, [3]> input_315_begin_0 = const()[name = tensor<string, []>("input_315_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_315_end_0 = const()[name = tensor<string, []>("input_315_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_315_end_mask_0 = const()[name = tensor<string, []>("input_315_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_315_cast_fp16 = slice_by_index(begin = input_315_begin_0, end = input_315_end_0, end_mask = input_315_end_mask_0, x = x_473_cast_fp16)[name = tensor<string, []>("input_315_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_163_cast_fp16 = leaky_relu(alpha = var_25, x = input_315_cast_fp16)[name = tensor<string, []>("l_163_cast_fp16")];
            tensor<bool, []> input_317_interleave_0 = const()[name = tensor<string, []>("input_317_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_317_cast_fp16 = concat(axis = var_30, interleave = input_317_interleave_0, values = (s_351_cast_fp16, l_163_cast_fp16))[name = tensor<string, []>("input_317_cast_fp16")];
            tensor<int32, [6]> x_477_pad_0 = const()[name = tensor<string, []>("x_477_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_477_mode_0 = const()[name = tensor<string, []>("x_477_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_77_to_fp16 = const()[name = tensor<string, []>("const_77_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8202]> x_477_cast_fp16 = pad(constant_val = const_77_to_fp16, mode = x_477_mode_0, pad = x_477_pad_0, x = input_317_cast_fp16)[name = tensor<string, []>("x_477_cast_fp16")];
            tensor<string, []> x_479_pad_type_0 = const()[name = tensor<string, []>("x_479_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_479_dilations_0 = const()[name = tensor<string, []>("x_479_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_479_strides_0 = const()[name = tensor<string, []>("x_479_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_479_pad_0 = const()[name = tensor<string, []>("x_479_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_479_groups_0 = const()[name = tensor<string, []>("x_479_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 3]> m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63005248)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63009728)))];
            tensor<fp16, [1, 27, 8192]> x_479_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16, dilations = x_479_dilations_0, groups = x_479_groups_0, pad = x_479_pad_0, pad_type = x_479_pad_type_0, strides = x_479_strides_0, weight = m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16, x = x_477_cast_fp16)[name = tensor<string, []>("x_479_cast_fp16")];
            tensor<int32, [3]> x_481_begin_0 = const()[name = tensor<string, []>("x_481_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_481_end_0 = const()[name = tensor<string, []>("x_481_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_481_end_mask_0 = const()[name = tensor<string, []>("x_481_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_481_cast_fp16 = slice_by_index(begin = x_481_begin_0, end = x_481_end_0, end_mask = x_481_end_mask_0, x = x_479_cast_fp16)[name = tensor<string, []>("x_481_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63009856)))];
            tensor<fp16, [1, 13, 8192]> var_2698_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_481_cast_fp16)[name = tensor<string, []>("op_2698_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_353_cast_fp16 = sin(x = var_2698_cast_fp16)[name = tensor<string, []>("s_353_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2702_to_fp16 = const()[name = tensor<string, []>("op_2702_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63009984)))];
            tensor<fp16, [1, 13, 8192]> var_2705_cast_fp16 = mul(x = var_2702_to_fp16, y = s_353_cast_fp16)[name = tensor<string, []>("op_2705_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2706_cast_fp16 = mul(x = var_2705_cast_fp16, y = s_353_cast_fp16)[name = tensor<string, []>("op_2706_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_355_cast_fp16 = add(x = x_481_cast_fp16, y = var_2706_cast_fp16)[name = tensor<string, []>("s_355_cast_fp16")];
            tensor<int32, [3]> input_319_begin_0 = const()[name = tensor<string, []>("input_319_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_319_end_0 = const()[name = tensor<string, []>("input_319_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_319_end_mask_0 = const()[name = tensor<string, []>("input_319_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_319_cast_fp16 = slice_by_index(begin = input_319_begin_0, end = input_319_end_0, end_mask = input_319_end_mask_0, x = x_479_cast_fp16)[name = tensor<string, []>("input_319_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_165_cast_fp16 = leaky_relu(alpha = var_25, x = input_319_cast_fp16)[name = tensor<string, []>("l_165_cast_fp16")];
            tensor<bool, []> input_321_interleave_0 = const()[name = tensor<string, []>("input_321_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_321_cast_fp16 = concat(axis = var_30, interleave = input_321_interleave_0, values = (s_355_cast_fp16, l_165_cast_fp16))[name = tensor<string, []>("input_321_cast_fp16")];
            tensor<int32, [6]> x_483_pad_0 = const()[name = tensor<string, []>("x_483_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_483_mode_0 = const()[name = tensor<string, []>("x_483_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_78_to_fp16 = const()[name = tensor<string, []>("const_78_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8194]> x_483_cast_fp16 = pad(constant_val = const_78_to_fp16, mode = x_483_mode_0, pad = x_483_pad_0, x = input_321_cast_fp16)[name = tensor<string, []>("x_483_cast_fp16")];
            tensor<string, []> h_77_pad_type_0 = const()[name = tensor<string, []>("h_77_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_77_strides_0 = const()[name = tensor<string, []>("h_77_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_77_pad_0 = const()[name = tensor<string, []>("h_77_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_77_dilations_0 = const()[name = tensor<string, []>("h_77_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_77_groups_0 = const()[name = tensor<string, []>("h_77_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 3]> m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63010112)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63014592)))];
            tensor<fp16, [1, 27, 8192]> h_77_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_77_dilations_0, groups = h_77_groups_0, pad = h_77_pad_0, pad_type = h_77_pad_type_0, strides = h_77_strides_0, weight = m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16, x = x_483_cast_fp16)[name = tensor<string, []>("h_77_cast_fp16")];
            tensor<fp16, [1, 27, 8192]> s_405_cast_fp16 = add(x = x_473_cast_fp16, y = h_77_cast_fp16)[name = tensor<string, []>("s_405_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63014720)))];
            tensor<fp16, [1, 13, 8192]> var_2737_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_451_cast_fp16)[name = tensor<string, []>("op_2737_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_357_cast_fp16 = sin(x = var_2737_cast_fp16)[name = tensor<string, []>("s_357_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2741_to_fp16 = const()[name = tensor<string, []>("op_2741_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63014848)))];
            tensor<fp16, [1, 13, 8192]> var_2744_cast_fp16 = mul(x = var_2741_to_fp16, y = s_357_cast_fp16)[name = tensor<string, []>("op_2744_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2745_cast_fp16 = mul(x = var_2744_cast_fp16, y = s_357_cast_fp16)[name = tensor<string, []>("op_2745_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_359_cast_fp16 = add(x = x_451_cast_fp16, y = var_2745_cast_fp16)[name = tensor<string, []>("s_359_cast_fp16")];
            tensor<bool, []> input_325_interleave_0 = const()[name = tensor<string, []>("input_325_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_325_cast_fp16 = concat(axis = var_30, interleave = input_325_interleave_0, values = (s_359_cast_fp16, l_155_cast_fp16))[name = tensor<string, []>("input_325_cast_fp16")];
            tensor<int32, [6]> x_487_pad_0 = const()[name = tensor<string, []>("x_487_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_487_mode_0 = const()[name = tensor<string, []>("x_487_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_79_to_fp16 = const()[name = tensor<string, []>("const_79_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8198]> x_487_cast_fp16 = pad(constant_val = const_79_to_fp16, mode = x_487_mode_0, pad = x_487_pad_0, x = input_325_cast_fp16)[name = tensor<string, []>("x_487_cast_fp16")];
            tensor<string, []> x_489_pad_type_0 = const()[name = tensor<string, []>("x_489_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_489_strides_0 = const()[name = tensor<string, []>("x_489_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_489_pad_0 = const()[name = tensor<string, []>("x_489_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_489_dilations_0 = const()[name = tensor<string, []>("x_489_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_489_groups_0 = const()[name = tensor<string, []>("x_489_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 7]> m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63014976)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63025280)))];
            tensor<fp16, [1, 27, 8192]> x_489_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16, dilations = x_489_dilations_0, groups = x_489_groups_0, pad = x_489_pad_0, pad_type = x_489_pad_type_0, strides = x_489_strides_0, weight = m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16, x = x_487_cast_fp16)[name = tensor<string, []>("x_489_cast_fp16")];
            tensor<int32, [3]> x_491_begin_0 = const()[name = tensor<string, []>("x_491_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_491_end_0 = const()[name = tensor<string, []>("x_491_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_491_end_mask_0 = const()[name = tensor<string, []>("x_491_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_491_cast_fp16 = slice_by_index(begin = x_491_begin_0, end = x_491_end_0, end_mask = x_491_end_mask_0, x = x_489_cast_fp16)[name = tensor<string, []>("x_491_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63025408)))];
            tensor<fp16, [1, 13, 8192]> var_2765_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_491_cast_fp16)[name = tensor<string, []>("op_2765_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_361_cast_fp16 = sin(x = var_2765_cast_fp16)[name = tensor<string, []>("s_361_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2769_to_fp16 = const()[name = tensor<string, []>("op_2769_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63025536)))];
            tensor<fp16, [1, 13, 8192]> var_2772_cast_fp16 = mul(x = var_2769_to_fp16, y = s_361_cast_fp16)[name = tensor<string, []>("op_2772_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2773_cast_fp16 = mul(x = var_2772_cast_fp16, y = s_361_cast_fp16)[name = tensor<string, []>("op_2773_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_363_cast_fp16 = add(x = x_491_cast_fp16, y = var_2773_cast_fp16)[name = tensor<string, []>("s_363_cast_fp16")];
            tensor<int32, [3]> input_327_begin_0 = const()[name = tensor<string, []>("input_327_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_327_end_0 = const()[name = tensor<string, []>("input_327_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_327_end_mask_0 = const()[name = tensor<string, []>("input_327_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_327_cast_fp16 = slice_by_index(begin = input_327_begin_0, end = input_327_end_0, end_mask = input_327_end_mask_0, x = x_489_cast_fp16)[name = tensor<string, []>("input_327_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_169_cast_fp16 = leaky_relu(alpha = var_25, x = input_327_cast_fp16)[name = tensor<string, []>("l_169_cast_fp16")];
            tensor<bool, []> input_329_interleave_0 = const()[name = tensor<string, []>("input_329_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_329_cast_fp16 = concat(axis = var_30, interleave = input_329_interleave_0, values = (s_363_cast_fp16, l_169_cast_fp16))[name = tensor<string, []>("input_329_cast_fp16")];
            tensor<int32, [6]> x_493_pad_0 = const()[name = tensor<string, []>("x_493_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_493_mode_0 = const()[name = tensor<string, []>("x_493_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_80_to_fp16 = const()[name = tensor<string, []>("const_80_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8198]> x_493_cast_fp16 = pad(constant_val = const_80_to_fp16, mode = x_493_mode_0, pad = x_493_pad_0, x = input_329_cast_fp16)[name = tensor<string, []>("x_493_cast_fp16")];
            tensor<string, []> h_79_pad_type_0 = const()[name = tensor<string, []>("h_79_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_79_strides_0 = const()[name = tensor<string, []>("h_79_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_79_pad_0 = const()[name = tensor<string, []>("h_79_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_79_dilations_0 = const()[name = tensor<string, []>("h_79_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_79_groups_0 = const()[name = tensor<string, []>("h_79_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 7]> m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63025664)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63035968)))];
            tensor<fp16, [1, 27, 8192]> h_79_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_79_dilations_0, groups = h_79_groups_0, pad = h_79_pad_0, pad_type = h_79_pad_type_0, strides = h_79_strides_0, weight = m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16, x = x_493_cast_fp16)[name = tensor<string, []>("h_79_cast_fp16")];
            tensor<fp16, [1, 27, 8192]> x_495_cast_fp16 = add(x = x_449_cast_fp16, y = h_79_cast_fp16)[name = tensor<string, []>("x_495_cast_fp16")];
            tensor<int32, [3]> x_497_begin_0 = const()[name = tensor<string, []>("x_497_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_497_end_0 = const()[name = tensor<string, []>("x_497_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_497_end_mask_0 = const()[name = tensor<string, []>("x_497_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_497_cast_fp16 = slice_by_index(begin = x_497_begin_0, end = x_497_end_0, end_mask = x_497_end_mask_0, x = x_495_cast_fp16)[name = tensor<string, []>("x_497_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63036096)))];
            tensor<fp16, [1, 13, 8192]> var_2798_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_497_cast_fp16)[name = tensor<string, []>("op_2798_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_365_cast_fp16 = sin(x = var_2798_cast_fp16)[name = tensor<string, []>("s_365_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2802_to_fp16 = const()[name = tensor<string, []>("op_2802_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63036224)))];
            tensor<fp16, [1, 13, 8192]> var_2805_cast_fp16 = mul(x = var_2802_to_fp16, y = s_365_cast_fp16)[name = tensor<string, []>("op_2805_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2806_cast_fp16 = mul(x = var_2805_cast_fp16, y = s_365_cast_fp16)[name = tensor<string, []>("op_2806_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_367_cast_fp16 = add(x = x_497_cast_fp16, y = var_2806_cast_fp16)[name = tensor<string, []>("s_367_cast_fp16")];
            tensor<int32, [3]> input_331_begin_0 = const()[name = tensor<string, []>("input_331_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_331_end_0 = const()[name = tensor<string, []>("input_331_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_331_end_mask_0 = const()[name = tensor<string, []>("input_331_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_331_cast_fp16 = slice_by_index(begin = input_331_begin_0, end = input_331_end_0, end_mask = input_331_end_mask_0, x = x_495_cast_fp16)[name = tensor<string, []>("input_331_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_171_cast_fp16 = leaky_relu(alpha = var_25, x = input_331_cast_fp16)[name = tensor<string, []>("l_171_cast_fp16")];
            tensor<bool, []> input_333_interleave_0 = const()[name = tensor<string, []>("input_333_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_333_cast_fp16 = concat(axis = var_30, interleave = input_333_interleave_0, values = (s_367_cast_fp16, l_171_cast_fp16))[name = tensor<string, []>("input_333_cast_fp16")];
            tensor<int32, [6]> x_499_pad_0 = const()[name = tensor<string, []>("x_499_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 18, 0])];
            tensor<string, []> x_499_mode_0 = const()[name = tensor<string, []>("x_499_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_81_to_fp16 = const()[name = tensor<string, []>("const_81_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8210]> x_499_cast_fp16 = pad(constant_val = const_81_to_fp16, mode = x_499_mode_0, pad = x_499_pad_0, x = input_333_cast_fp16)[name = tensor<string, []>("x_499_cast_fp16")];
            tensor<string, []> x_501_pad_type_0 = const()[name = tensor<string, []>("x_501_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_501_dilations_0 = const()[name = tensor<string, []>("x_501_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_501_strides_0 = const()[name = tensor<string, []>("x_501_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_501_pad_0 = const()[name = tensor<string, []>("x_501_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_501_groups_0 = const()[name = tensor<string, []>("x_501_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 7]> m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63036352)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63046656)))];
            tensor<fp16, [1, 27, 8192]> x_501_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16, dilations = x_501_dilations_0, groups = x_501_groups_0, pad = x_501_pad_0, pad_type = x_501_pad_type_0, strides = x_501_strides_0, weight = m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16, x = x_499_cast_fp16)[name = tensor<string, []>("x_501_cast_fp16")];
            tensor<int32, [3]> x_503_begin_0 = const()[name = tensor<string, []>("x_503_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_503_end_0 = const()[name = tensor<string, []>("x_503_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_503_end_mask_0 = const()[name = tensor<string, []>("x_503_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_503_cast_fp16 = slice_by_index(begin = x_503_begin_0, end = x_503_end_0, end_mask = x_503_end_mask_0, x = x_501_cast_fp16)[name = tensor<string, []>("x_503_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63046784)))];
            tensor<fp16, [1, 13, 8192]> var_2826_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_503_cast_fp16)[name = tensor<string, []>("op_2826_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_369_cast_fp16 = sin(x = var_2826_cast_fp16)[name = tensor<string, []>("s_369_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2830_to_fp16 = const()[name = tensor<string, []>("op_2830_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63046912)))];
            tensor<fp16, [1, 13, 8192]> var_2833_cast_fp16 = mul(x = var_2830_to_fp16, y = s_369_cast_fp16)[name = tensor<string, []>("op_2833_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2834_cast_fp16 = mul(x = var_2833_cast_fp16, y = s_369_cast_fp16)[name = tensor<string, []>("op_2834_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_371_cast_fp16 = add(x = x_503_cast_fp16, y = var_2834_cast_fp16)[name = tensor<string, []>("s_371_cast_fp16")];
            tensor<int32, [3]> input_335_begin_0 = const()[name = tensor<string, []>("input_335_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_335_end_0 = const()[name = tensor<string, []>("input_335_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_335_end_mask_0 = const()[name = tensor<string, []>("input_335_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_335_cast_fp16 = slice_by_index(begin = input_335_begin_0, end = input_335_end_0, end_mask = input_335_end_mask_0, x = x_501_cast_fp16)[name = tensor<string, []>("input_335_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_173_cast_fp16 = leaky_relu(alpha = var_25, x = input_335_cast_fp16)[name = tensor<string, []>("l_173_cast_fp16")];
            tensor<bool, []> input_337_interleave_0 = const()[name = tensor<string, []>("input_337_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_337_cast_fp16 = concat(axis = var_30, interleave = input_337_interleave_0, values = (s_371_cast_fp16, l_173_cast_fp16))[name = tensor<string, []>("input_337_cast_fp16")];
            tensor<int32, [6]> x_505_pad_0 = const()[name = tensor<string, []>("x_505_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_505_mode_0 = const()[name = tensor<string, []>("x_505_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_82_to_fp16 = const()[name = tensor<string, []>("const_82_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8198]> x_505_cast_fp16 = pad(constant_val = const_82_to_fp16, mode = x_505_mode_0, pad = x_505_pad_0, x = input_337_cast_fp16)[name = tensor<string, []>("x_505_cast_fp16")];
            tensor<string, []> h_81_pad_type_0 = const()[name = tensor<string, []>("h_81_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_81_strides_0 = const()[name = tensor<string, []>("h_81_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_81_pad_0 = const()[name = tensor<string, []>("h_81_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_81_dilations_0 = const()[name = tensor<string, []>("h_81_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_81_groups_0 = const()[name = tensor<string, []>("h_81_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 7]> m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63047040)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63057344)))];
            tensor<fp16, [1, 27, 8192]> h_81_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_81_dilations_0, groups = h_81_groups_0, pad = h_81_pad_0, pad_type = h_81_pad_type_0, strides = h_81_strides_0, weight = m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16, x = x_505_cast_fp16)[name = tensor<string, []>("h_81_cast_fp16")];
            tensor<fp16, [1, 27, 8192]> x_507_cast_fp16 = add(x = x_495_cast_fp16, y = h_81_cast_fp16)[name = tensor<string, []>("x_507_cast_fp16")];
            tensor<int32, [3]> x_509_begin_0 = const()[name = tensor<string, []>("x_509_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_509_end_0 = const()[name = tensor<string, []>("x_509_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_509_end_mask_0 = const()[name = tensor<string, []>("x_509_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_509_cast_fp16 = slice_by_index(begin = x_509_begin_0, end = x_509_end_0, end_mask = x_509_end_mask_0, x = x_507_cast_fp16)[name = tensor<string, []>("x_509_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63057472)))];
            tensor<fp16, [1, 13, 8192]> var_2859_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_509_cast_fp16)[name = tensor<string, []>("op_2859_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_373_cast_fp16 = sin(x = var_2859_cast_fp16)[name = tensor<string, []>("s_373_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2863_to_fp16 = const()[name = tensor<string, []>("op_2863_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63057600)))];
            tensor<fp16, [1, 13, 8192]> var_2866_cast_fp16 = mul(x = var_2863_to_fp16, y = s_373_cast_fp16)[name = tensor<string, []>("op_2866_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2867_cast_fp16 = mul(x = var_2866_cast_fp16, y = s_373_cast_fp16)[name = tensor<string, []>("op_2867_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_375_cast_fp16 = add(x = x_509_cast_fp16, y = var_2867_cast_fp16)[name = tensor<string, []>("s_375_cast_fp16")];
            tensor<int32, [3]> input_339_begin_0 = const()[name = tensor<string, []>("input_339_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_339_end_0 = const()[name = tensor<string, []>("input_339_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_339_end_mask_0 = const()[name = tensor<string, []>("input_339_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_339_cast_fp16 = slice_by_index(begin = input_339_begin_0, end = input_339_end_0, end_mask = input_339_end_mask_0, x = x_507_cast_fp16)[name = tensor<string, []>("input_339_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_175_cast_fp16 = leaky_relu(alpha = var_25, x = input_339_cast_fp16)[name = tensor<string, []>("l_175_cast_fp16")];
            tensor<bool, []> input_341_interleave_0 = const()[name = tensor<string, []>("input_341_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_341_cast_fp16 = concat(axis = var_30, interleave = input_341_interleave_0, values = (s_375_cast_fp16, l_175_cast_fp16))[name = tensor<string, []>("input_341_cast_fp16")];
            tensor<int32, [6]> x_511_pad_0 = const()[name = tensor<string, []>("x_511_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 30, 0])];
            tensor<string, []> x_511_mode_0 = const()[name = tensor<string, []>("x_511_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_83_to_fp16 = const()[name = tensor<string, []>("const_83_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8222]> x_511_cast_fp16 = pad(constant_val = const_83_to_fp16, mode = x_511_mode_0, pad = x_511_pad_0, x = input_341_cast_fp16)[name = tensor<string, []>("x_511_cast_fp16")];
            tensor<string, []> x_513_pad_type_0 = const()[name = tensor<string, []>("x_513_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_513_dilations_0 = const()[name = tensor<string, []>("x_513_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_513_strides_0 = const()[name = tensor<string, []>("x_513_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_513_pad_0 = const()[name = tensor<string, []>("x_513_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_513_groups_0 = const()[name = tensor<string, []>("x_513_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 7]> m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63057728)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63068032)))];
            tensor<fp16, [1, 27, 8192]> x_513_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16, dilations = x_513_dilations_0, groups = x_513_groups_0, pad = x_513_pad_0, pad_type = x_513_pad_type_0, strides = x_513_strides_0, weight = m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16, x = x_511_cast_fp16)[name = tensor<string, []>("x_513_cast_fp16")];
            tensor<int32, [3]> x_515_begin_0 = const()[name = tensor<string, []>("x_515_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_515_end_0 = const()[name = tensor<string, []>("x_515_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_515_end_mask_0 = const()[name = tensor<string, []>("x_515_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_515_cast_fp16 = slice_by_index(begin = x_515_begin_0, end = x_515_end_0, end_mask = x_515_end_mask_0, x = x_513_cast_fp16)[name = tensor<string, []>("x_515_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63068160)))];
            tensor<fp16, [1, 13, 8192]> var_2887_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_515_cast_fp16)[name = tensor<string, []>("op_2887_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_377_cast_fp16 = sin(x = var_2887_cast_fp16)[name = tensor<string, []>("s_377_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2891_to_fp16 = const()[name = tensor<string, []>("op_2891_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63068288)))];
            tensor<fp16, [1, 13, 8192]> var_2894_cast_fp16 = mul(x = var_2891_to_fp16, y = s_377_cast_fp16)[name = tensor<string, []>("op_2894_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2895_cast_fp16 = mul(x = var_2894_cast_fp16, y = s_377_cast_fp16)[name = tensor<string, []>("op_2895_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_379_cast_fp16 = add(x = x_515_cast_fp16, y = var_2895_cast_fp16)[name = tensor<string, []>("s_379_cast_fp16")];
            tensor<int32, [3]> input_343_begin_0 = const()[name = tensor<string, []>("input_343_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_343_end_0 = const()[name = tensor<string, []>("input_343_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_343_end_mask_0 = const()[name = tensor<string, []>("input_343_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_343_cast_fp16 = slice_by_index(begin = input_343_begin_0, end = input_343_end_0, end_mask = input_343_end_mask_0, x = x_513_cast_fp16)[name = tensor<string, []>("input_343_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_177_cast_fp16 = leaky_relu(alpha = var_25, x = input_343_cast_fp16)[name = tensor<string, []>("l_177_cast_fp16")];
            tensor<bool, []> input_345_interleave_0 = const()[name = tensor<string, []>("input_345_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_345_cast_fp16 = concat(axis = var_30, interleave = input_345_interleave_0, values = (s_379_cast_fp16, l_177_cast_fp16))[name = tensor<string, []>("input_345_cast_fp16")];
            tensor<int32, [6]> x_517_pad_0 = const()[name = tensor<string, []>("x_517_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])];
            tensor<string, []> x_517_mode_0 = const()[name = tensor<string, []>("x_517_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_84_to_fp16 = const()[name = tensor<string, []>("const_84_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8198]> x_517_cast_fp16 = pad(constant_val = const_84_to_fp16, mode = x_517_mode_0, pad = x_517_pad_0, x = input_345_cast_fp16)[name = tensor<string, []>("x_517_cast_fp16")];
            tensor<string, []> h_83_pad_type_0 = const()[name = tensor<string, []>("h_83_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_83_strides_0 = const()[name = tensor<string, []>("h_83_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_83_pad_0 = const()[name = tensor<string, []>("h_83_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_83_dilations_0 = const()[name = tensor<string, []>("h_83_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_83_groups_0 = const()[name = tensor<string, []>("h_83_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 7]> m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63068416)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63078720)))];
            tensor<fp16, [1, 27, 8192]> h_83_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_83_dilations_0, groups = h_83_groups_0, pad = h_83_pad_0, pad_type = h_83_pad_type_0, strides = h_83_strides_0, weight = m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16, x = x_517_cast_fp16)[name = tensor<string, []>("h_83_cast_fp16")];
            tensor<fp16, [1, 27, 8192]> o_17_cast_fp16 = add(x = x_507_cast_fp16, y = h_83_cast_fp16)[name = tensor<string, []>("o_17_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63078848)))];
            tensor<fp16, [1, 13, 8192]> var_2926_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16, y = x_451_cast_fp16)[name = tensor<string, []>("op_2926_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_381_cast_fp16 = sin(x = var_2926_cast_fp16)[name = tensor<string, []>("s_381_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2930_to_fp16 = const()[name = tensor<string, []>("op_2930_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63078976)))];
            tensor<fp16, [1, 13, 8192]> var_2933_cast_fp16 = mul(x = var_2930_to_fp16, y = s_381_cast_fp16)[name = tensor<string, []>("op_2933_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2934_cast_fp16 = mul(x = var_2933_cast_fp16, y = s_381_cast_fp16)[name = tensor<string, []>("op_2934_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_383_cast_fp16 = add(x = x_451_cast_fp16, y = var_2934_cast_fp16)[name = tensor<string, []>("s_383_cast_fp16")];
            tensor<bool, []> input_349_interleave_0 = const()[name = tensor<string, []>("input_349_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_349_cast_fp16 = concat(axis = var_30, interleave = input_349_interleave_0, values = (s_383_cast_fp16, l_155_cast_fp16))[name = tensor<string, []>("input_349_cast_fp16")];
            tensor<int32, [6]> x_521_pad_0 = const()[name = tensor<string, []>("x_521_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_521_mode_0 = const()[name = tensor<string, []>("x_521_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_85_to_fp16 = const()[name = tensor<string, []>("const_85_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8202]> x_521_cast_fp16 = pad(constant_val = const_85_to_fp16, mode = x_521_mode_0, pad = x_521_pad_0, x = input_349_cast_fp16)[name = tensor<string, []>("x_521_cast_fp16")];
            tensor<string, []> x_523_pad_type_0 = const()[name = tensor<string, []>("x_523_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_523_strides_0 = const()[name = tensor<string, []>("x_523_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_523_pad_0 = const()[name = tensor<string, []>("x_523_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_523_dilations_0 = const()[name = tensor<string, []>("x_523_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_523_groups_0 = const()[name = tensor<string, []>("x_523_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 11]> m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63079104)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63095232)))];
            tensor<fp16, [1, 27, 8192]> x_523_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16, dilations = x_523_dilations_0, groups = x_523_groups_0, pad = x_523_pad_0, pad_type = x_523_pad_type_0, strides = x_523_strides_0, weight = m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16, x = x_521_cast_fp16)[name = tensor<string, []>("x_523_cast_fp16")];
            tensor<int32, [3]> x_525_begin_0 = const()[name = tensor<string, []>("x_525_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_525_end_0 = const()[name = tensor<string, []>("x_525_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_525_end_mask_0 = const()[name = tensor<string, []>("x_525_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_525_cast_fp16 = slice_by_index(begin = x_525_begin_0, end = x_525_end_0, end_mask = x_525_end_mask_0, x = x_523_cast_fp16)[name = tensor<string, []>("x_525_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63095360)))];
            tensor<fp16, [1, 13, 8192]> var_2954_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16, y = x_525_cast_fp16)[name = tensor<string, []>("op_2954_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_385_cast_fp16 = sin(x = var_2954_cast_fp16)[name = tensor<string, []>("s_385_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2958_to_fp16 = const()[name = tensor<string, []>("op_2958_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63095488)))];
            tensor<fp16, [1, 13, 8192]> var_2961_cast_fp16 = mul(x = var_2958_to_fp16, y = s_385_cast_fp16)[name = tensor<string, []>("op_2961_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2962_cast_fp16 = mul(x = var_2961_cast_fp16, y = s_385_cast_fp16)[name = tensor<string, []>("op_2962_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_387_cast_fp16 = add(x = x_525_cast_fp16, y = var_2962_cast_fp16)[name = tensor<string, []>("s_387_cast_fp16")];
            tensor<int32, [3]> input_351_begin_0 = const()[name = tensor<string, []>("input_351_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_351_end_0 = const()[name = tensor<string, []>("input_351_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_351_end_mask_0 = const()[name = tensor<string, []>("input_351_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_351_cast_fp16 = slice_by_index(begin = input_351_begin_0, end = input_351_end_0, end_mask = input_351_end_mask_0, x = x_523_cast_fp16)[name = tensor<string, []>("input_351_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_181_cast_fp16 = leaky_relu(alpha = var_25, x = input_351_cast_fp16)[name = tensor<string, []>("l_181_cast_fp16")];
            tensor<bool, []> input_353_interleave_0 = const()[name = tensor<string, []>("input_353_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_353_cast_fp16 = concat(axis = var_30, interleave = input_353_interleave_0, values = (s_387_cast_fp16, l_181_cast_fp16))[name = tensor<string, []>("input_353_cast_fp16")];
            tensor<int32, [6]> x_527_pad_0 = const()[name = tensor<string, []>("x_527_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_527_mode_0 = const()[name = tensor<string, []>("x_527_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_86_to_fp16 = const()[name = tensor<string, []>("const_86_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8202]> x_527_cast_fp16 = pad(constant_val = const_86_to_fp16, mode = x_527_mode_0, pad = x_527_pad_0, x = input_353_cast_fp16)[name = tensor<string, []>("x_527_cast_fp16")];
            tensor<string, []> h_85_pad_type_0 = const()[name = tensor<string, []>("h_85_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_85_strides_0 = const()[name = tensor<string, []>("h_85_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_85_pad_0 = const()[name = tensor<string, []>("h_85_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_85_dilations_0 = const()[name = tensor<string, []>("h_85_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_85_groups_0 = const()[name = tensor<string, []>("h_85_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 11]> m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63095616)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63111744)))];
            tensor<fp16, [1, 27, 8192]> h_85_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16, dilations = h_85_dilations_0, groups = h_85_groups_0, pad = h_85_pad_0, pad_type = h_85_pad_type_0, strides = h_85_strides_0, weight = m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16, x = x_527_cast_fp16)[name = tensor<string, []>("h_85_cast_fp16")];
            tensor<fp16, [1, 27, 8192]> x_529_cast_fp16 = add(x = x_449_cast_fp16, y = h_85_cast_fp16)[name = tensor<string, []>("x_529_cast_fp16")];
            tensor<int32, [3]> x_531_begin_0 = const()[name = tensor<string, []>("x_531_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_531_end_0 = const()[name = tensor<string, []>("x_531_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_531_end_mask_0 = const()[name = tensor<string, []>("x_531_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_531_cast_fp16 = slice_by_index(begin = x_531_begin_0, end = x_531_end_0, end_mask = x_531_end_mask_0, x = x_529_cast_fp16)[name = tensor<string, []>("x_531_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63111872)))];
            tensor<fp16, [1, 13, 8192]> var_2987_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16, y = x_531_cast_fp16)[name = tensor<string, []>("op_2987_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_389_cast_fp16 = sin(x = var_2987_cast_fp16)[name = tensor<string, []>("s_389_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_2991_to_fp16 = const()[name = tensor<string, []>("op_2991_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63112000)))];
            tensor<fp16, [1, 13, 8192]> var_2994_cast_fp16 = mul(x = var_2991_to_fp16, y = s_389_cast_fp16)[name = tensor<string, []>("op_2994_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_2995_cast_fp16 = mul(x = var_2994_cast_fp16, y = s_389_cast_fp16)[name = tensor<string, []>("op_2995_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_391_cast_fp16 = add(x = x_531_cast_fp16, y = var_2995_cast_fp16)[name = tensor<string, []>("s_391_cast_fp16")];
            tensor<int32, [3]> input_355_begin_0 = const()[name = tensor<string, []>("input_355_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_355_end_0 = const()[name = tensor<string, []>("input_355_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_355_end_mask_0 = const()[name = tensor<string, []>("input_355_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_355_cast_fp16 = slice_by_index(begin = input_355_begin_0, end = input_355_end_0, end_mask = input_355_end_mask_0, x = x_529_cast_fp16)[name = tensor<string, []>("input_355_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_183_cast_fp16 = leaky_relu(alpha = var_25, x = input_355_cast_fp16)[name = tensor<string, []>("l_183_cast_fp16")];
            tensor<bool, []> input_357_interleave_0 = const()[name = tensor<string, []>("input_357_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_357_cast_fp16 = concat(axis = var_30, interleave = input_357_interleave_0, values = (s_391_cast_fp16, l_183_cast_fp16))[name = tensor<string, []>("input_357_cast_fp16")];
            tensor<int32, [6]> x_533_pad_0 = const()[name = tensor<string, []>("x_533_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 30, 0])];
            tensor<string, []> x_533_mode_0 = const()[name = tensor<string, []>("x_533_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_87_to_fp16 = const()[name = tensor<string, []>("const_87_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8222]> x_533_cast_fp16 = pad(constant_val = const_87_to_fp16, mode = x_533_mode_0, pad = x_533_pad_0, x = input_357_cast_fp16)[name = tensor<string, []>("x_533_cast_fp16")];
            tensor<string, []> x_535_pad_type_0 = const()[name = tensor<string, []>("x_535_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_535_dilations_0 = const()[name = tensor<string, []>("x_535_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_535_strides_0 = const()[name = tensor<string, []>("x_535_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_535_pad_0 = const()[name = tensor<string, []>("x_535_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_535_groups_0 = const()[name = tensor<string, []>("x_535_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 11]> m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63112128)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63128256)))];
            tensor<fp16, [1, 27, 8192]> x_535_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16, dilations = x_535_dilations_0, groups = x_535_groups_0, pad = x_535_pad_0, pad_type = x_535_pad_type_0, strides = x_535_strides_0, weight = m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16, x = x_533_cast_fp16)[name = tensor<string, []>("x_535_cast_fp16")];
            tensor<int32, [3]> x_537_begin_0 = const()[name = tensor<string, []>("x_537_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_537_end_0 = const()[name = tensor<string, []>("x_537_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_537_end_mask_0 = const()[name = tensor<string, []>("x_537_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_537_cast_fp16 = slice_by_index(begin = x_537_begin_0, end = x_537_end_0, end_mask = x_537_end_mask_0, x = x_535_cast_fp16)[name = tensor<string, []>("x_537_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63128384)))];
            tensor<fp16, [1, 13, 8192]> var_3015_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16, y = x_537_cast_fp16)[name = tensor<string, []>("op_3015_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_393_cast_fp16 = sin(x = var_3015_cast_fp16)[name = tensor<string, []>("s_393_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_3019_to_fp16 = const()[name = tensor<string, []>("op_3019_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63128512)))];
            tensor<fp16, [1, 13, 8192]> var_3022_cast_fp16 = mul(x = var_3019_to_fp16, y = s_393_cast_fp16)[name = tensor<string, []>("op_3022_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_3023_cast_fp16 = mul(x = var_3022_cast_fp16, y = s_393_cast_fp16)[name = tensor<string, []>("op_3023_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_395_cast_fp16 = add(x = x_537_cast_fp16, y = var_3023_cast_fp16)[name = tensor<string, []>("s_395_cast_fp16")];
            tensor<int32, [3]> input_359_begin_0 = const()[name = tensor<string, []>("input_359_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_359_end_0 = const()[name = tensor<string, []>("input_359_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_359_end_mask_0 = const()[name = tensor<string, []>("input_359_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_359_cast_fp16 = slice_by_index(begin = input_359_begin_0, end = input_359_end_0, end_mask = input_359_end_mask_0, x = x_535_cast_fp16)[name = tensor<string, []>("input_359_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_185_cast_fp16 = leaky_relu(alpha = var_25, x = input_359_cast_fp16)[name = tensor<string, []>("l_185_cast_fp16")];
            tensor<bool, []> input_361_interleave_0 = const()[name = tensor<string, []>("input_361_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_361_cast_fp16 = concat(axis = var_30, interleave = input_361_interleave_0, values = (s_395_cast_fp16, l_185_cast_fp16))[name = tensor<string, []>("input_361_cast_fp16")];
            tensor<int32, [6]> x_539_pad_0 = const()[name = tensor<string, []>("x_539_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_539_mode_0 = const()[name = tensor<string, []>("x_539_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_88_to_fp16 = const()[name = tensor<string, []>("const_88_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8202]> x_539_cast_fp16 = pad(constant_val = const_88_to_fp16, mode = x_539_mode_0, pad = x_539_pad_0, x = input_361_cast_fp16)[name = tensor<string, []>("x_539_cast_fp16")];
            tensor<string, []> h_87_pad_type_0 = const()[name = tensor<string, []>("h_87_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_87_strides_0 = const()[name = tensor<string, []>("h_87_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_87_pad_0 = const()[name = tensor<string, []>("h_87_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_87_dilations_0 = const()[name = tensor<string, []>("h_87_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_87_groups_0 = const()[name = tensor<string, []>("h_87_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 11]> m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63128640)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63144768)))];
            tensor<fp16, [1, 27, 8192]> h_87_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16, dilations = h_87_dilations_0, groups = h_87_groups_0, pad = h_87_pad_0, pad_type = h_87_pad_type_0, strides = h_87_strides_0, weight = m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16, x = x_539_cast_fp16)[name = tensor<string, []>("h_87_cast_fp16")];
            tensor<fp16, [1, 27, 8192]> x_541_cast_fp16 = add(x = x_529_cast_fp16, y = h_87_cast_fp16)[name = tensor<string, []>("x_541_cast_fp16")];
            tensor<int32, [3]> x_543_begin_0 = const()[name = tensor<string, []>("x_543_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_543_end_0 = const()[name = tensor<string, []>("x_543_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_543_end_mask_0 = const()[name = tensor<string, []>("x_543_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_543_cast_fp16 = slice_by_index(begin = x_543_begin_0, end = x_543_end_0, end_mask = x_543_end_mask_0, x = x_541_cast_fp16)[name = tensor<string, []>("x_543_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63144896)))];
            tensor<fp16, [1, 13, 8192]> var_3048_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16, y = x_543_cast_fp16)[name = tensor<string, []>("op_3048_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_397_cast_fp16 = sin(x = var_3048_cast_fp16)[name = tensor<string, []>("s_397_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_3052_to_fp16 = const()[name = tensor<string, []>("op_3052_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63145024)))];
            tensor<fp16, [1, 13, 8192]> var_3055_cast_fp16 = mul(x = var_3052_to_fp16, y = s_397_cast_fp16)[name = tensor<string, []>("op_3055_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_3056_cast_fp16 = mul(x = var_3055_cast_fp16, y = s_397_cast_fp16)[name = tensor<string, []>("op_3056_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_399_cast_fp16 = add(x = x_543_cast_fp16, y = var_3056_cast_fp16)[name = tensor<string, []>("s_399_cast_fp16")];
            tensor<int32, [3]> input_363_begin_0 = const()[name = tensor<string, []>("input_363_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_363_end_0 = const()[name = tensor<string, []>("input_363_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_363_end_mask_0 = const()[name = tensor<string, []>("input_363_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_363_cast_fp16 = slice_by_index(begin = input_363_begin_0, end = input_363_end_0, end_mask = input_363_end_mask_0, x = x_541_cast_fp16)[name = tensor<string, []>("input_363_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_187_cast_fp16 = leaky_relu(alpha = var_25, x = input_363_cast_fp16)[name = tensor<string, []>("l_187_cast_fp16")];
            tensor<bool, []> input_365_interleave_0 = const()[name = tensor<string, []>("input_365_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_365_cast_fp16 = concat(axis = var_30, interleave = input_365_interleave_0, values = (s_399_cast_fp16, l_187_cast_fp16))[name = tensor<string, []>("input_365_cast_fp16")];
            tensor<int32, [6]> x_545_pad_0 = const()[name = tensor<string, []>("x_545_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 50, 0])];
            tensor<string, []> x_545_mode_0 = const()[name = tensor<string, []>("x_545_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_89_to_fp16 = const()[name = tensor<string, []>("const_89_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8242]> x_545_cast_fp16 = pad(constant_val = const_89_to_fp16, mode = x_545_mode_0, pad = x_545_pad_0, x = input_365_cast_fp16)[name = tensor<string, []>("x_545_cast_fp16")];
            tensor<string, []> x_547_pad_type_0 = const()[name = tensor<string, []>("x_547_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_547_dilations_0 = const()[name = tensor<string, []>("x_547_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_547_strides_0 = const()[name = tensor<string, []>("x_547_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_547_pad_0 = const()[name = tensor<string, []>("x_547_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, []> x_547_groups_0 = const()[name = tensor<string, []>("x_547_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 11]> m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63145152)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63161280)))];
            tensor<fp16, [1, 27, 8192]> x_547_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16, dilations = x_547_dilations_0, groups = x_547_groups_0, pad = x_547_pad_0, pad_type = x_547_pad_type_0, strides = x_547_strides_0, weight = m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16, x = x_545_cast_fp16)[name = tensor<string, []>("x_547_cast_fp16")];
            tensor<int32, [3]> x_549_begin_0 = const()[name = tensor<string, []>("x_549_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_549_end_0 = const()[name = tensor<string, []>("x_549_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_549_end_mask_0 = const()[name = tensor<string, []>("x_549_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_549_cast_fp16 = slice_by_index(begin = x_549_begin_0, end = x_549_end_0, end_mask = x_549_end_mask_0, x = x_547_cast_fp16)[name = tensor<string, []>("x_549_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63161408)))];
            tensor<fp16, [1, 13, 8192]> var_3076_cast_fp16 = mul(x = m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16, y = x_549_cast_fp16)[name = tensor<string, []>("op_3076_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_401_cast_fp16 = sin(x = var_3076_cast_fp16)[name = tensor<string, []>("s_401_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_3080_to_fp16 = const()[name = tensor<string, []>("op_3080_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63161536)))];
            tensor<fp16, [1, 13, 8192]> var_3083_cast_fp16 = mul(x = var_3080_to_fp16, y = s_401_cast_fp16)[name = tensor<string, []>("op_3083_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_3084_cast_fp16 = mul(x = var_3083_cast_fp16, y = s_401_cast_fp16)[name = tensor<string, []>("op_3084_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_403_cast_fp16 = add(x = x_549_cast_fp16, y = var_3084_cast_fp16)[name = tensor<string, []>("s_403_cast_fp16")];
            tensor<int32, [3]> input_367_begin_0 = const()[name = tensor<string, []>("input_367_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_367_end_0 = const()[name = tensor<string, []>("input_367_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_367_end_mask_0 = const()[name = tensor<string, []>("input_367_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_367_cast_fp16 = slice_by_index(begin = input_367_begin_0, end = input_367_end_0, end_mask = input_367_end_mask_0, x = x_547_cast_fp16)[name = tensor<string, []>("input_367_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_189_cast_fp16 = leaky_relu(alpha = var_25, x = input_367_cast_fp16)[name = tensor<string, []>("l_189_cast_fp16")];
            tensor<bool, []> input_369_interleave_0 = const()[name = tensor<string, []>("input_369_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_369_cast_fp16 = concat(axis = var_30, interleave = input_369_interleave_0, values = (s_403_cast_fp16, l_189_cast_fp16))[name = tensor<string, []>("input_369_cast_fp16")];
            tensor<int32, [6]> x_551_pad_0 = const()[name = tensor<string, []>("x_551_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 10, 0])];
            tensor<string, []> x_551_mode_0 = const()[name = tensor<string, []>("x_551_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_90_to_fp16 = const()[name = tensor<string, []>("const_90_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8202]> x_551_cast_fp16 = pad(constant_val = const_90_to_fp16, mode = x_551_mode_0, pad = x_551_pad_0, x = input_369_cast_fp16)[name = tensor<string, []>("x_551_cast_fp16")];
            tensor<string, []> h_pad_type_0 = const()[name = tensor<string, []>("h_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> h_strides_0 = const()[name = tensor<string, []>("h_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> h_pad_0 = const()[name = tensor<string, []>("h_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> h_dilations_0 = const()[name = tensor<string, []>("h_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> h_groups_0 = const()[name = tensor<string, []>("h_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [27, 27, 11]> m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor<fp16, [27, 27, 11]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63161664)))];
            tensor<fp16, [27]> m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor<fp16, [27]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63177792)))];
            tensor<fp16, [1, 27, 8192]> h_cast_fp16 = conv(bias = m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16, dilations = h_dilations_0, groups = h_groups_0, pad = h_pad_0, pad_type = h_pad_type_0, strides = h_strides_0, weight = m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16, x = x_551_cast_fp16)[name = tensor<string, []>("h_cast_fp16")];
            tensor<fp16, [1, 27, 8192]> o_cast_fp16 = add(x = x_541_cast_fp16, y = h_cast_fp16)[name = tensor<string, []>("o_cast_fp16")];
            tensor<fp16, [1, 27, 8192]> s_407_cast_fp16 = add(x = s_405_cast_fp16, y = o_17_cast_fp16)[name = tensor<string, []>("s_407_cast_fp16")];
            tensor<fp16, [1, 27, 8192]> s_409_cast_fp16 = add(x = s_407_cast_fp16, y = o_cast_fp16)[name = tensor<string, []>("s_409_cast_fp16")];
            tensor<fp16, []> _inversed_x_553_y_0_to_fp16 = const()[name = tensor<string, []>("_inversed_x_553_y_0_to_fp16"), val = tensor<fp16, []>(0x1.554p-2)];
            tensor<fp16, [1, 27, 8192]> _inversed_x_553_cast_fp16 = mul(x = s_409_cast_fp16, y = _inversed_x_553_y_0_to_fp16)[name = tensor<string, []>("_inversed_x_553_cast_fp16")];
            tensor<int32, [3]> x_555_begin_0 = const()[name = tensor<string, []>("x_555_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> x_555_end_0 = const()[name = tensor<string, []>("x_555_end_0"), val = tensor<int32, [3]>([1, 13, 8192])];
            tensor<bool, [3]> x_555_end_mask_0 = const()[name = tensor<string, []>("x_555_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 13, 8192]> x_555_cast_fp16 = slice_by_index(begin = x_555_begin_0, end = x_555_end_0, end_mask = x_555_end_mask_0, x = _inversed_x_553_cast_fp16)[name = tensor<string, []>("x_555_cast_fp16")];
            tensor<fp16, [1, 13, 1]> m_decoder_post_activation_snake_act_alpha_to_fp16 = const()[name = tensor<string, []>("m_decoder_post_activation_snake_act_alpha_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63177920)))];
            tensor<fp16, [1, 13, 8192]> var_3109_cast_fp16 = mul(x = m_decoder_post_activation_snake_act_alpha_to_fp16, y = x_555_cast_fp16)[name = tensor<string, []>("op_3109_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_411_cast_fp16 = sin(x = var_3109_cast_fp16)[name = tensor<string, []>("s_411_cast_fp16")];
            tensor<fp16, [1, 13, 1]> var_3113_to_fp16 = const()[name = tensor<string, []>("op_3113_to_fp16"), val = tensor<fp16, [1, 13, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63178048)))];
            tensor<fp16, [1, 13, 8192]> var_3116_cast_fp16 = mul(x = var_3113_to_fp16, y = s_411_cast_fp16)[name = tensor<string, []>("op_3116_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> var_3117_cast_fp16 = mul(x = var_3116_cast_fp16, y = s_411_cast_fp16)[name = tensor<string, []>("op_3117_cast_fp16")];
            tensor<fp16, [1, 13, 8192]> s_cast_fp16 = add(x = x_555_cast_fp16, y = var_3117_cast_fp16)[name = tensor<string, []>("s_cast_fp16")];
            tensor<int32, [3]> input_371_begin_0 = const()[name = tensor<string, []>("input_371_begin_0"), val = tensor<int32, [3]>([0, 13, 0])];
            tensor<int32, [3]> input_371_end_0 = const()[name = tensor<string, []>("input_371_end_0"), val = tensor<int32, [3]>([1, 27, 8192])];
            tensor<bool, [3]> input_371_end_mask_0 = const()[name = tensor<string, []>("input_371_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 14, 8192]> input_371_cast_fp16 = slice_by_index(begin = input_371_begin_0, end = input_371_end_0, end_mask = input_371_end_mask_0, x = _inversed_x_553_cast_fp16)[name = tensor<string, []>("input_371_cast_fp16")];
            tensor<fp16, [1, 14, 8192]> l_cast_fp16 = leaky_relu(alpha = var_25, x = input_371_cast_fp16)[name = tensor<string, []>("l_cast_fp16")];
            tensor<bool, []> input_interleave_0 = const()[name = tensor<string, []>("input_interleave_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 27, 8192]> input_cast_fp16 = concat(axis = var_30, interleave = input_interleave_0, values = (s_cast_fp16, l_cast_fp16))[name = tensor<string, []>("input_cast_fp16")];
            tensor<int32, [6]> x_557_pad_0 = const()[name = tensor<string, []>("x_557_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 2, 0])];
            tensor<string, []> x_557_mode_0 = const()[name = tensor<string, []>("x_557_mode_0"), val = tensor<string, []>("constant")];
            tensor<fp16, []> const_91_to_fp16 = const()[name = tensor<string, []>("const_91_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 27, 8194]> x_557_cast_fp16 = pad(constant_val = const_91_to_fp16, mode = x_557_mode_0, pad = x_557_pad_0, x = input_cast_fp16)[name = tensor<string, []>("x_557_cast_fp16")];
            tensor<string, []> x_559_pad_type_0 = const()[name = tensor<string, []>("x_559_pad_type_0"), val = tensor<string, []>("valid")];
            tensor<int32, [1]> x_559_strides_0 = const()[name = tensor<string, []>("x_559_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_559_pad_0 = const()[name = tensor<string, []>("x_559_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_559_dilations_0 = const()[name = tensor<string, []>("x_559_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, []> x_559_groups_0 = const()[name = tensor<string, []>("x_559_groups_0"), val = tensor<int32, []>(1)];
            tensor<fp16, [1, 27, 3]> m_decoder_post_conv_weight_to_fp16 = const()[name = tensor<string, []>("m_decoder_post_conv_weight_to_fp16"), val = tensor<fp16, [1, 27, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(63178176)))];
            tensor<fp16, [1]> m_decoder_post_conv_bias_to_fp16 = const()[name = tensor<string, []>("m_decoder_post_conv_bias_to_fp16"), val = tensor<fp16, [1]>([0x1.0d4p-4])];
            tensor<fp16, [1, 1, 8192]> x_559_cast_fp16 = conv(bias = m_decoder_post_conv_bias_to_fp16, dilations = x_559_dilations_0, groups = x_559_groups_0, pad = x_559_pad_0, pad_type = x_559_pad_type_0, strides = x_559_strides_0, weight = m_decoder_post_conv_weight_to_fp16, x = x_557_cast_fp16)[name = tensor<string, []>("x_559_cast_fp16")];
            tensor<fp16, []> var_5_to_fp16 = const()[name = tensor<string, []>("op_5_to_fp16"), val = tensor<fp16, []>(-0x1p+0)];
            tensor<fp16, []> var_4_to_fp16 = const()[name = tensor<string, []>("op_4_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [1, 1, 8192]> clip_0_cast_fp16 = clip(alpha = var_5_to_fp16, beta = var_4_to_fp16, x = x_559_cast_fp16)[name = tensor<string, []>("clip_0_cast_fp16")];
            tensor<int32, [1]> var_3134_axes_0 = const()[name = tensor<string, []>("op_3134_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [1, 8192]> var_3134_cast_fp16 = squeeze(axes = var_3134_axes_0, x = clip_0_cast_fp16)[name = tensor<string, []>("op_3134_cast_fp16")];
            tensor<string, []> var_3134_cast_fp16_to_fp32_dtype_0 = const()[name = tensor<string, []>("op_3134_cast_fp16_to_fp32_dtype_0"), val = tensor<string, []>("fp32")];
            tensor<fp32, [1, 8192]> audio = cast(dtype = var_3134_cast_fp16_to_fp32_dtype_0, x = var_3134_cast_fp16)[name = tensor<string, []>("cast_10")];
        } -> (audio);
}