diff --git "a/nanocodec_decoder.mlmodelc/model.mil" "b/nanocodec_decoder.mlmodelc/model.mil" new file mode 100644--- /dev/null +++ "b/nanocodec_decoder.mlmodelc/model.mil" @@ -0,0 +1,2889 @@ +program(1.0) +[buildInfo = dict, tensor>({{"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(tensor latents) { + tensor var_25 = const()[name = tensor("op_25"), val = tensor(0x1.47ae14p-7)]; + tensor var_30 = const()[name = tensor("op_30"), val = tensor(1)]; + tensor x_1_pad_0 = const()[name = tensor("x_1_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_1_mode_0 = const()[name = tensor("x_1_mode_0"), val = tensor("constant")]; + tensor latents_to_fp16_dtype_0 = const()[name = tensor("latents_to_fp16_dtype_0"), val = tensor("fp16")]; + tensor const_0_to_fp16 = const()[name = tensor("const_0_to_fp16"), val = tensor(0x0p+0)]; + tensor latents_to_fp16 = cast(dtype = latents_to_fp16_dtype_0, x = latents)[name = tensor("cast_11")]; + tensor 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("x_1_cast_fp16")]; + tensor x_3_pad_type_0 = const()[name = tensor("x_3_pad_type_0"), val = tensor("valid")]; + tensor x_3_strides_0 = const()[name = tensor("x_3_strides_0"), val = tensor([1])]; + tensor x_3_pad_0 = const()[name = tensor("x_3_pad_0"), val = tensor([0, 0])]; + tensor x_3_dilations_0 = const()[name = tensor("x_3_dilations_0"), val = tensor([1])]; + tensor x_3_groups_0 = const()[name = tensor("x_3_groups_0"), val = tensor(1)]; + tensor m_decoder_pre_conv_weight_to_fp16 = const()[name = tensor("m_decoder_pre_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(64)))]; + tensor m_decoder_pre_conv_bias_to_fp16 = const()[name = tensor("m_decoder_pre_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(387200)))]; + tensor 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("x_3_cast_fp16")]; + tensor x_5_begin_0 = const()[name = tensor("x_5_begin_0"), val = tensor([0, 0, 0])]; + tensor x_5_end_0 = const()[name = tensor("x_5_end_0"), val = tensor([1, 432, 64])]; + tensor x_5_end_mask_0 = const()[name = tensor("x_5_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_5_cast_fp16")]; + tensor m_decoder_activations_0_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_activations_0_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(388992)))]; + tensor var_79_cast_fp16 = mul(x = m_decoder_activations_0_snake_act_alpha_to_fp16, y = x_5_cast_fp16)[name = tensor("op_79_cast_fp16")]; + tensor s_1_cast_fp16 = sin(x = var_79_cast_fp16)[name = tensor("s_1_cast_fp16")]; + tensor var_83_to_fp16 = const()[name = tensor("op_83_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(389952)))]; + tensor var_86_cast_fp16 = mul(x = var_83_to_fp16, y = s_1_cast_fp16)[name = tensor("op_86_cast_fp16")]; + tensor var_87_cast_fp16 = mul(x = var_86_cast_fp16, y = s_1_cast_fp16)[name = tensor("op_87_cast_fp16")]; + tensor s_3_cast_fp16 = add(x = x_5_cast_fp16, y = var_87_cast_fp16)[name = tensor("s_3_cast_fp16")]; + tensor input_1_begin_0 = const()[name = tensor("input_1_begin_0"), val = tensor([0, 432, 0])]; + tensor input_1_end_0 = const()[name = tensor("input_1_end_0"), val = tensor([1, 864, 64])]; + tensor input_1_end_mask_0 = const()[name = tensor("input_1_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_1_cast_fp16")]; + tensor l_1_cast_fp16 = leaky_relu(alpha = var_25, x = input_1_cast_fp16)[name = tensor("l_1_cast_fp16")]; + tensor x_7_interleave_0 = const()[name = tensor("x_7_interleave_0"), val = tensor(false)]; + tensor x_7_cast_fp16 = concat(axis = var_30, interleave = x_7_interleave_0, values = (s_3_cast_fp16, l_1_cast_fp16))[name = tensor("x_7_cast_fp16")]; + tensor y_1_pad_type_0 = const()[name = tensor("y_1_pad_type_0"), val = tensor("valid")]; + tensor y_1_strides_0 = const()[name = tensor("y_1_strides_0"), val = tensor([8])]; + tensor y_1_groups_0 = const()[name = tensor("y_1_groups_0"), val = tensor(432)]; + tensor y_1_pad_0 = const()[name = tensor("y_1_pad_0"), val = tensor([0, 0])]; + tensor y_1_dilations_0 = const()[name = tensor("y_1_dilations_0"), val = tensor([1])]; + tensor y_1_has_output_shape_output_shape_0 = const()[name = tensor("y_1_has_output_shape_output_shape_0"), val = tensor([1, 432, 520])]; + tensor m_decoder_up_sample_conv_layers_0_weight_to_fp16 = const()[name = tensor("m_decoder_up_sample_conv_layers_0_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(390912)))]; + tensor m_decoder_up_sample_conv_layers_0_bias_to_fp16 = const()[name = tensor("m_decoder_up_sample_conv_layers_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(418624)))]; + tensor 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("y_1_has_output_shape_cast_fp16")]; + tensor x_9_begin_0 = const()[name = tensor("x_9_begin_0"), val = tensor([0, 0, 0])]; + tensor x_9_end_0 = const()[name = tensor("x_9_end_0"), val = tensor([1, 432, 512])]; + tensor x_9_end_mask_0 = const()[name = tensor("x_9_end_mask_0"), val = tensor([true, true, false])]; + tensor 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("x_9_cast_fp16")]; + tensor x_11_begin_0 = const()[name = tensor("x_11_begin_0"), val = tensor([0, 0, 0])]; + tensor x_11_end_0 = const()[name = tensor("x_11_end_0"), val = tensor([1, 216, 512])]; + tensor x_11_end_mask_0 = const()[name = tensor("x_11_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_11_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(419584)))]; + tensor 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("op_124_cast_fp16")]; + tensor s_5_cast_fp16 = sin(x = var_124_cast_fp16)[name = tensor("s_5_cast_fp16")]; + tensor var_128_to_fp16 = const()[name = tensor("op_128_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(420096)))]; + tensor var_131_cast_fp16 = mul(x = var_128_to_fp16, y = s_5_cast_fp16)[name = tensor("op_131_cast_fp16")]; + tensor var_132_cast_fp16 = mul(x = var_131_cast_fp16, y = s_5_cast_fp16)[name = tensor("op_132_cast_fp16")]; + tensor s_7_cast_fp16 = add(x = x_11_cast_fp16, y = var_132_cast_fp16)[name = tensor("s_7_cast_fp16")]; + tensor input_3_begin_0 = const()[name = tensor("input_3_begin_0"), val = tensor([0, 216, 0])]; + tensor input_3_end_0 = const()[name = tensor("input_3_end_0"), val = tensor([1, 432, 512])]; + tensor input_3_end_mask_0 = const()[name = tensor("input_3_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_3_cast_fp16")]; + tensor l_3_cast_fp16 = leaky_relu(alpha = var_25, x = input_3_cast_fp16)[name = tensor("l_3_cast_fp16")]; + tensor input_5_interleave_0 = const()[name = tensor("input_5_interleave_0"), val = tensor(false)]; + tensor input_5_cast_fp16 = concat(axis = var_30, interleave = input_5_interleave_0, values = (s_7_cast_fp16, l_3_cast_fp16))[name = tensor("input_5_cast_fp16")]; + tensor x_13_pad_0 = const()[name = tensor("x_13_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_13_mode_0 = const()[name = tensor("x_13_mode_0"), val = tensor("constant")]; + tensor const_1_to_fp16 = const()[name = tensor("const_1_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_13_cast_fp16")]; + tensor x_15_pad_type_0 = const()[name = tensor("x_15_pad_type_0"), val = tensor("valid")]; + tensor x_15_strides_0 = const()[name = tensor("x_15_strides_0"), val = tensor([1])]; + tensor x_15_pad_0 = const()[name = tensor("x_15_pad_0"), val = tensor([0, 0])]; + tensor x_15_dilations_0 = const()[name = tensor("x_15_dilations_0"), val = tensor([1])]; + tensor x_15_groups_0 = const()[name = tensor("x_15_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(420608)))]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1540416)))]; + tensor 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("x_15_cast_fp16")]; + tensor x_17_begin_0 = const()[name = tensor("x_17_begin_0"), val = tensor([0, 0, 0])]; + tensor x_17_end_0 = const()[name = tensor("x_17_end_0"), val = tensor([1, 216, 512])]; + tensor x_17_end_mask_0 = const()[name = tensor("x_17_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_17_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1541376)))]; + tensor 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("op_152_cast_fp16")]; + tensor s_9_cast_fp16 = sin(x = var_152_cast_fp16)[name = tensor("s_9_cast_fp16")]; + tensor var_156_to_fp16 = const()[name = tensor("op_156_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1541888)))]; + tensor var_159_cast_fp16 = mul(x = var_156_to_fp16, y = s_9_cast_fp16)[name = tensor("op_159_cast_fp16")]; + tensor var_160_cast_fp16 = mul(x = var_159_cast_fp16, y = s_9_cast_fp16)[name = tensor("op_160_cast_fp16")]; + tensor s_11_cast_fp16 = add(x = x_17_cast_fp16, y = var_160_cast_fp16)[name = tensor("s_11_cast_fp16")]; + tensor input_7_begin_0 = const()[name = tensor("input_7_begin_0"), val = tensor([0, 216, 0])]; + tensor input_7_end_0 = const()[name = tensor("input_7_end_0"), val = tensor([1, 432, 512])]; + tensor input_7_end_mask_0 = const()[name = tensor("input_7_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_7_cast_fp16")]; + tensor l_5_cast_fp16 = leaky_relu(alpha = var_25, x = input_7_cast_fp16)[name = tensor("l_5_cast_fp16")]; + tensor input_9_interleave_0 = const()[name = tensor("input_9_interleave_0"), val = tensor(false)]; + tensor input_9_cast_fp16 = concat(axis = var_30, interleave = input_9_interleave_0, values = (s_11_cast_fp16, l_5_cast_fp16))[name = tensor("input_9_cast_fp16")]; + tensor x_19_pad_0 = const()[name = tensor("x_19_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_19_mode_0 = const()[name = tensor("x_19_mode_0"), val = tensor("constant")]; + tensor const_2_to_fp16 = const()[name = tensor("const_2_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_19_cast_fp16")]; + tensor h_1_pad_type_0 = const()[name = tensor("h_1_pad_type_0"), val = tensor("valid")]; + tensor h_1_strides_0 = const()[name = tensor("h_1_strides_0"), val = tensor([1])]; + tensor h_1_pad_0 = const()[name = tensor("h_1_pad_0"), val = tensor([0, 0])]; + tensor h_1_dilations_0 = const()[name = tensor("h_1_dilations_0"), val = tensor([1])]; + tensor h_1_groups_0 = const()[name = tensor("h_1_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1542400)))]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2662208)))]; + tensor 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("h_1_cast_fp16")]; + tensor x_21_cast_fp16 = add(x = x_9_cast_fp16, y = h_1_cast_fp16)[name = tensor("x_21_cast_fp16")]; + tensor x_23_begin_0 = const()[name = tensor("x_23_begin_0"), val = tensor([0, 0, 0])]; + tensor x_23_end_0 = const()[name = tensor("x_23_end_0"), val = tensor([1, 216, 512])]; + tensor x_23_end_mask_0 = const()[name = tensor("x_23_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_23_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2663168)))]; + tensor 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("op_185_cast_fp16")]; + tensor s_13_cast_fp16 = sin(x = var_185_cast_fp16)[name = tensor("s_13_cast_fp16")]; + tensor var_189_to_fp16 = const()[name = tensor("op_189_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2663680)))]; + tensor var_192_cast_fp16 = mul(x = var_189_to_fp16, y = s_13_cast_fp16)[name = tensor("op_192_cast_fp16")]; + tensor var_193_cast_fp16 = mul(x = var_192_cast_fp16, y = s_13_cast_fp16)[name = tensor("op_193_cast_fp16")]; + tensor s_15_cast_fp16 = add(x = x_23_cast_fp16, y = var_193_cast_fp16)[name = tensor("s_15_cast_fp16")]; + tensor input_11_begin_0 = const()[name = tensor("input_11_begin_0"), val = tensor([0, 216, 0])]; + tensor input_11_end_0 = const()[name = tensor("input_11_end_0"), val = tensor([1, 432, 512])]; + tensor input_11_end_mask_0 = const()[name = tensor("input_11_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_11_cast_fp16")]; + tensor l_7_cast_fp16 = leaky_relu(alpha = var_25, x = input_11_cast_fp16)[name = tensor("l_7_cast_fp16")]; + tensor input_13_interleave_0 = const()[name = tensor("input_13_interleave_0"), val = tensor(false)]; + tensor input_13_cast_fp16 = concat(axis = var_30, interleave = input_13_interleave_0, values = (s_15_cast_fp16, l_7_cast_fp16))[name = tensor("input_13_cast_fp16")]; + tensor x_25_pad_0 = const()[name = tensor("x_25_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_25_mode_0 = const()[name = tensor("x_25_mode_0"), val = tensor("constant")]; + tensor const_3_to_fp16 = const()[name = tensor("const_3_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_25_cast_fp16")]; + tensor x_27_pad_type_0 = const()[name = tensor("x_27_pad_type_0"), val = tensor("valid")]; + tensor x_27_dilations_0 = const()[name = tensor("x_27_dilations_0"), val = tensor([3])]; + tensor x_27_strides_0 = const()[name = tensor("x_27_strides_0"), val = tensor([1])]; + tensor x_27_pad_0 = const()[name = tensor("x_27_pad_0"), val = tensor([0, 0])]; + tensor x_27_groups_0 = const()[name = tensor("x_27_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2664192)))]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3784000)))]; + tensor 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("x_27_cast_fp16")]; + tensor x_29_begin_0 = const()[name = tensor("x_29_begin_0"), val = tensor([0, 0, 0])]; + tensor x_29_end_0 = const()[name = tensor("x_29_end_0"), val = tensor([1, 216, 512])]; + tensor x_29_end_mask_0 = const()[name = tensor("x_29_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_29_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3784960)))]; + tensor 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("op_213_cast_fp16")]; + tensor s_17_cast_fp16 = sin(x = var_213_cast_fp16)[name = tensor("s_17_cast_fp16")]; + tensor var_217_to_fp16 = const()[name = tensor("op_217_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3785472)))]; + tensor var_220_cast_fp16 = mul(x = var_217_to_fp16, y = s_17_cast_fp16)[name = tensor("op_220_cast_fp16")]; + tensor var_221_cast_fp16 = mul(x = var_220_cast_fp16, y = s_17_cast_fp16)[name = tensor("op_221_cast_fp16")]; + tensor s_19_cast_fp16 = add(x = x_29_cast_fp16, y = var_221_cast_fp16)[name = tensor("s_19_cast_fp16")]; + tensor input_15_begin_0 = const()[name = tensor("input_15_begin_0"), val = tensor([0, 216, 0])]; + tensor input_15_end_0 = const()[name = tensor("input_15_end_0"), val = tensor([1, 432, 512])]; + tensor input_15_end_mask_0 = const()[name = tensor("input_15_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_15_cast_fp16")]; + tensor l_9_cast_fp16 = leaky_relu(alpha = var_25, x = input_15_cast_fp16)[name = tensor("l_9_cast_fp16")]; + tensor input_17_interleave_0 = const()[name = tensor("input_17_interleave_0"), val = tensor(false)]; + tensor input_17_cast_fp16 = concat(axis = var_30, interleave = input_17_interleave_0, values = (s_19_cast_fp16, l_9_cast_fp16))[name = tensor("input_17_cast_fp16")]; + tensor x_31_pad_0 = const()[name = tensor("x_31_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_31_mode_0 = const()[name = tensor("x_31_mode_0"), val = tensor("constant")]; + tensor const_4_to_fp16 = const()[name = tensor("const_4_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_31_cast_fp16")]; + tensor h_3_pad_type_0 = const()[name = tensor("h_3_pad_type_0"), val = tensor("valid")]; + tensor h_3_strides_0 = const()[name = tensor("h_3_strides_0"), val = tensor([1])]; + tensor h_3_pad_0 = const()[name = tensor("h_3_pad_0"), val = tensor([0, 0])]; + tensor h_3_dilations_0 = const()[name = tensor("h_3_dilations_0"), val = tensor([1])]; + tensor h_3_groups_0 = const()[name = tensor("h_3_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3785984)))]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4905792)))]; + tensor 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("h_3_cast_fp16")]; + tensor x_33_cast_fp16 = add(x = x_21_cast_fp16, y = h_3_cast_fp16)[name = tensor("x_33_cast_fp16")]; + tensor x_35_begin_0 = const()[name = tensor("x_35_begin_0"), val = tensor([0, 0, 0])]; + tensor x_35_end_0 = const()[name = tensor("x_35_end_0"), val = tensor([1, 216, 512])]; + tensor x_35_end_mask_0 = const()[name = tensor("x_35_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_35_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4906752)))]; + tensor 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("op_246_cast_fp16")]; + tensor s_21_cast_fp16 = sin(x = var_246_cast_fp16)[name = tensor("s_21_cast_fp16")]; + tensor var_250_to_fp16 = const()[name = tensor("op_250_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4907264)))]; + tensor var_253_cast_fp16 = mul(x = var_250_to_fp16, y = s_21_cast_fp16)[name = tensor("op_253_cast_fp16")]; + tensor var_254_cast_fp16 = mul(x = var_253_cast_fp16, y = s_21_cast_fp16)[name = tensor("op_254_cast_fp16")]; + tensor s_23_cast_fp16 = add(x = x_35_cast_fp16, y = var_254_cast_fp16)[name = tensor("s_23_cast_fp16")]; + tensor input_19_begin_0 = const()[name = tensor("input_19_begin_0"), val = tensor([0, 216, 0])]; + tensor input_19_end_0 = const()[name = tensor("input_19_end_0"), val = tensor([1, 432, 512])]; + tensor input_19_end_mask_0 = const()[name = tensor("input_19_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_19_cast_fp16")]; + tensor l_11_cast_fp16 = leaky_relu(alpha = var_25, x = input_19_cast_fp16)[name = tensor("l_11_cast_fp16")]; + tensor input_21_interleave_0 = const()[name = tensor("input_21_interleave_0"), val = tensor(false)]; + tensor input_21_cast_fp16 = concat(axis = var_30, interleave = input_21_interleave_0, values = (s_23_cast_fp16, l_11_cast_fp16))[name = tensor("input_21_cast_fp16")]; + tensor x_37_pad_0 = const()[name = tensor("x_37_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_37_mode_0 = const()[name = tensor("x_37_mode_0"), val = tensor("constant")]; + tensor const_5_to_fp16 = const()[name = tensor("const_5_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_37_cast_fp16")]; + tensor x_39_pad_type_0 = const()[name = tensor("x_39_pad_type_0"), val = tensor("valid")]; + tensor x_39_dilations_0 = const()[name = tensor("x_39_dilations_0"), val = tensor([5])]; + tensor x_39_strides_0 = const()[name = tensor("x_39_strides_0"), val = tensor([1])]; + tensor x_39_pad_0 = const()[name = tensor("x_39_pad_0"), val = tensor([0, 0])]; + tensor x_39_groups_0 = const()[name = tensor("x_39_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4907776)))]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6027584)))]; + tensor 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("x_39_cast_fp16")]; + tensor x_41_begin_0 = const()[name = tensor("x_41_begin_0"), val = tensor([0, 0, 0])]; + tensor x_41_end_0 = const()[name = tensor("x_41_end_0"), val = tensor([1, 216, 512])]; + tensor x_41_end_mask_0 = const()[name = tensor("x_41_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_41_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6028544)))]; + tensor 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("op_274_cast_fp16")]; + tensor s_25_cast_fp16 = sin(x = var_274_cast_fp16)[name = tensor("s_25_cast_fp16")]; + tensor var_278_to_fp16 = const()[name = tensor("op_278_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6029056)))]; + tensor var_281_cast_fp16 = mul(x = var_278_to_fp16, y = s_25_cast_fp16)[name = tensor("op_281_cast_fp16")]; + tensor var_282_cast_fp16 = mul(x = var_281_cast_fp16, y = s_25_cast_fp16)[name = tensor("op_282_cast_fp16")]; + tensor s_27_cast_fp16 = add(x = x_41_cast_fp16, y = var_282_cast_fp16)[name = tensor("s_27_cast_fp16")]; + tensor input_23_begin_0 = const()[name = tensor("input_23_begin_0"), val = tensor([0, 216, 0])]; + tensor input_23_end_0 = const()[name = tensor("input_23_end_0"), val = tensor([1, 432, 512])]; + tensor input_23_end_mask_0 = const()[name = tensor("input_23_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_23_cast_fp16")]; + tensor l_13_cast_fp16 = leaky_relu(alpha = var_25, x = input_23_cast_fp16)[name = tensor("l_13_cast_fp16")]; + tensor input_25_interleave_0 = const()[name = tensor("input_25_interleave_0"), val = tensor(false)]; + tensor input_25_cast_fp16 = concat(axis = var_30, interleave = input_25_interleave_0, values = (s_27_cast_fp16, l_13_cast_fp16))[name = tensor("input_25_cast_fp16")]; + tensor x_43_pad_0 = const()[name = tensor("x_43_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_43_mode_0 = const()[name = tensor("x_43_mode_0"), val = tensor("constant")]; + tensor const_6_to_fp16 = const()[name = tensor("const_6_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_43_cast_fp16")]; + tensor h_5_pad_type_0 = const()[name = tensor("h_5_pad_type_0"), val = tensor("valid")]; + tensor h_5_strides_0 = const()[name = tensor("h_5_strides_0"), val = tensor([1])]; + tensor h_5_pad_0 = const()[name = tensor("h_5_pad_0"), val = tensor([0, 0])]; + tensor h_5_dilations_0 = const()[name = tensor("h_5_dilations_0"), val = tensor([1])]; + tensor h_5_groups_0 = const()[name = tensor("h_5_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6029568)))]; + tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7149376)))]; + tensor 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("h_5_cast_fp16")]; + tensor s_77_cast_fp16 = add(x = x_33_cast_fp16, y = h_5_cast_fp16)[name = tensor("s_77_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7150336)))]; + tensor 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("op_313_cast_fp16")]; + tensor s_29_cast_fp16 = sin(x = var_313_cast_fp16)[name = tensor("s_29_cast_fp16")]; + tensor var_317_to_fp16 = const()[name = tensor("op_317_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7150848)))]; + tensor var_320_cast_fp16 = mul(x = var_317_to_fp16, y = s_29_cast_fp16)[name = tensor("op_320_cast_fp16")]; + tensor var_321_cast_fp16 = mul(x = var_320_cast_fp16, y = s_29_cast_fp16)[name = tensor("op_321_cast_fp16")]; + tensor s_31_cast_fp16 = add(x = x_11_cast_fp16, y = var_321_cast_fp16)[name = tensor("s_31_cast_fp16")]; + tensor input_29_interleave_0 = const()[name = tensor("input_29_interleave_0"), val = tensor(false)]; + tensor input_29_cast_fp16 = concat(axis = var_30, interleave = input_29_interleave_0, values = (s_31_cast_fp16, l_3_cast_fp16))[name = tensor("input_29_cast_fp16")]; + tensor x_47_pad_0 = const()[name = tensor("x_47_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_47_mode_0 = const()[name = tensor("x_47_mode_0"), val = tensor("constant")]; + tensor const_7_to_fp16 = const()[name = tensor("const_7_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_47_cast_fp16")]; + tensor x_49_pad_type_0 = const()[name = tensor("x_49_pad_type_0"), val = tensor("valid")]; + tensor x_49_strides_0 = const()[name = tensor("x_49_strides_0"), val = tensor([1])]; + tensor x_49_pad_0 = const()[name = tensor("x_49_pad_0"), val = tensor([0, 0])]; + tensor x_49_dilations_0 = const()[name = tensor("x_49_dilations_0"), val = tensor([1])]; + tensor x_49_groups_0 = const()[name = tensor("x_49_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7151360)))]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9764160)))]; + tensor 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("x_49_cast_fp16")]; + tensor x_51_begin_0 = const()[name = tensor("x_51_begin_0"), val = tensor([0, 0, 0])]; + tensor x_51_end_0 = const()[name = tensor("x_51_end_0"), val = tensor([1, 216, 512])]; + tensor x_51_end_mask_0 = const()[name = tensor("x_51_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_51_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9765120)))]; + tensor 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("op_341_cast_fp16")]; + tensor s_33_cast_fp16 = sin(x = var_341_cast_fp16)[name = tensor("s_33_cast_fp16")]; + tensor var_345_to_fp16 = const()[name = tensor("op_345_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9765632)))]; + tensor var_348_cast_fp16 = mul(x = var_345_to_fp16, y = s_33_cast_fp16)[name = tensor("op_348_cast_fp16")]; + tensor var_349_cast_fp16 = mul(x = var_348_cast_fp16, y = s_33_cast_fp16)[name = tensor("op_349_cast_fp16")]; + tensor s_35_cast_fp16 = add(x = x_51_cast_fp16, y = var_349_cast_fp16)[name = tensor("s_35_cast_fp16")]; + tensor input_31_begin_0 = const()[name = tensor("input_31_begin_0"), val = tensor([0, 216, 0])]; + tensor input_31_end_0 = const()[name = tensor("input_31_end_0"), val = tensor([1, 432, 512])]; + tensor input_31_end_mask_0 = const()[name = tensor("input_31_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_31_cast_fp16")]; + tensor l_17_cast_fp16 = leaky_relu(alpha = var_25, x = input_31_cast_fp16)[name = tensor("l_17_cast_fp16")]; + tensor input_33_interleave_0 = const()[name = tensor("input_33_interleave_0"), val = tensor(false)]; + tensor input_33_cast_fp16 = concat(axis = var_30, interleave = input_33_interleave_0, values = (s_35_cast_fp16, l_17_cast_fp16))[name = tensor("input_33_cast_fp16")]; + tensor x_53_pad_0 = const()[name = tensor("x_53_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_53_mode_0 = const()[name = tensor("x_53_mode_0"), val = tensor("constant")]; + tensor const_8_to_fp16 = const()[name = tensor("const_8_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_53_cast_fp16")]; + tensor h_7_pad_type_0 = const()[name = tensor("h_7_pad_type_0"), val = tensor("valid")]; + tensor h_7_strides_0 = const()[name = tensor("h_7_strides_0"), val = tensor([1])]; + tensor h_7_pad_0 = const()[name = tensor("h_7_pad_0"), val = tensor([0, 0])]; + tensor h_7_dilations_0 = const()[name = tensor("h_7_dilations_0"), val = tensor([1])]; + tensor h_7_groups_0 = const()[name = tensor("h_7_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9766144)))]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12378944)))]; + tensor 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("h_7_cast_fp16")]; + tensor x_55_cast_fp16 = add(x = x_9_cast_fp16, y = h_7_cast_fp16)[name = tensor("x_55_cast_fp16")]; + tensor x_57_begin_0 = const()[name = tensor("x_57_begin_0"), val = tensor([0, 0, 0])]; + tensor x_57_end_0 = const()[name = tensor("x_57_end_0"), val = tensor([1, 216, 512])]; + tensor x_57_end_mask_0 = const()[name = tensor("x_57_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_57_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12379904)))]; + tensor 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("op_374_cast_fp16")]; + tensor s_37_cast_fp16 = sin(x = var_374_cast_fp16)[name = tensor("s_37_cast_fp16")]; + tensor var_378_to_fp16 = const()[name = tensor("op_378_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12380416)))]; + tensor var_381_cast_fp16 = mul(x = var_378_to_fp16, y = s_37_cast_fp16)[name = tensor("op_381_cast_fp16")]; + tensor var_382_cast_fp16 = mul(x = var_381_cast_fp16, y = s_37_cast_fp16)[name = tensor("op_382_cast_fp16")]; + tensor s_39_cast_fp16 = add(x = x_57_cast_fp16, y = var_382_cast_fp16)[name = tensor("s_39_cast_fp16")]; + tensor input_35_begin_0 = const()[name = tensor("input_35_begin_0"), val = tensor([0, 216, 0])]; + tensor input_35_end_0 = const()[name = tensor("input_35_end_0"), val = tensor([1, 432, 512])]; + tensor input_35_end_mask_0 = const()[name = tensor("input_35_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_35_cast_fp16")]; + tensor l_19_cast_fp16 = leaky_relu(alpha = var_25, x = input_35_cast_fp16)[name = tensor("l_19_cast_fp16")]; + tensor input_37_interleave_0 = const()[name = tensor("input_37_interleave_0"), val = tensor(false)]; + tensor input_37_cast_fp16 = concat(axis = var_30, interleave = input_37_interleave_0, values = (s_39_cast_fp16, l_19_cast_fp16))[name = tensor("input_37_cast_fp16")]; + tensor x_59_pad_0 = const()[name = tensor("x_59_pad_0"), val = tensor([0, 0, 0, 0, 18, 0])]; + tensor x_59_mode_0 = const()[name = tensor("x_59_mode_0"), val = tensor("constant")]; + tensor const_9_to_fp16 = const()[name = tensor("const_9_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_59_cast_fp16")]; + tensor x_61_pad_type_0 = const()[name = tensor("x_61_pad_type_0"), val = tensor("valid")]; + tensor x_61_dilations_0 = const()[name = tensor("x_61_dilations_0"), val = tensor([3])]; + tensor x_61_strides_0 = const()[name = tensor("x_61_strides_0"), val = tensor([1])]; + tensor x_61_pad_0 = const()[name = tensor("x_61_pad_0"), val = tensor([0, 0])]; + tensor x_61_groups_0 = const()[name = tensor("x_61_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12380928)))]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14993728)))]; + tensor 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("x_61_cast_fp16")]; + tensor x_63_begin_0 = const()[name = tensor("x_63_begin_0"), val = tensor([0, 0, 0])]; + tensor x_63_end_0 = const()[name = tensor("x_63_end_0"), val = tensor([1, 216, 512])]; + tensor x_63_end_mask_0 = const()[name = tensor("x_63_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_63_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14994688)))]; + tensor 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("op_402_cast_fp16")]; + tensor s_41_cast_fp16 = sin(x = var_402_cast_fp16)[name = tensor("s_41_cast_fp16")]; + tensor var_406_to_fp16 = const()[name = tensor("op_406_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14995200)))]; + tensor var_409_cast_fp16 = mul(x = var_406_to_fp16, y = s_41_cast_fp16)[name = tensor("op_409_cast_fp16")]; + tensor var_410_cast_fp16 = mul(x = var_409_cast_fp16, y = s_41_cast_fp16)[name = tensor("op_410_cast_fp16")]; + tensor s_43_cast_fp16 = add(x = x_63_cast_fp16, y = var_410_cast_fp16)[name = tensor("s_43_cast_fp16")]; + tensor input_39_begin_0 = const()[name = tensor("input_39_begin_0"), val = tensor([0, 216, 0])]; + tensor input_39_end_0 = const()[name = tensor("input_39_end_0"), val = tensor([1, 432, 512])]; + tensor input_39_end_mask_0 = const()[name = tensor("input_39_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_39_cast_fp16")]; + tensor l_21_cast_fp16 = leaky_relu(alpha = var_25, x = input_39_cast_fp16)[name = tensor("l_21_cast_fp16")]; + tensor input_41_interleave_0 = const()[name = tensor("input_41_interleave_0"), val = tensor(false)]; + tensor input_41_cast_fp16 = concat(axis = var_30, interleave = input_41_interleave_0, values = (s_43_cast_fp16, l_21_cast_fp16))[name = tensor("input_41_cast_fp16")]; + tensor x_65_pad_0 = const()[name = tensor("x_65_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_65_mode_0 = const()[name = tensor("x_65_mode_0"), val = tensor("constant")]; + tensor const_10_to_fp16 = const()[name = tensor("const_10_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_65_cast_fp16")]; + tensor h_9_pad_type_0 = const()[name = tensor("h_9_pad_type_0"), val = tensor("valid")]; + tensor h_9_strides_0 = const()[name = tensor("h_9_strides_0"), val = tensor([1])]; + tensor h_9_pad_0 = const()[name = tensor("h_9_pad_0"), val = tensor([0, 0])]; + tensor h_9_dilations_0 = const()[name = tensor("h_9_dilations_0"), val = tensor([1])]; + tensor h_9_groups_0 = const()[name = tensor("h_9_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14995712)))]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17608512)))]; + tensor 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("h_9_cast_fp16")]; + tensor x_67_cast_fp16 = add(x = x_55_cast_fp16, y = h_9_cast_fp16)[name = tensor("x_67_cast_fp16")]; + tensor x_69_begin_0 = const()[name = tensor("x_69_begin_0"), val = tensor([0, 0, 0])]; + tensor x_69_end_0 = const()[name = tensor("x_69_end_0"), val = tensor([1, 216, 512])]; + tensor x_69_end_mask_0 = const()[name = tensor("x_69_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_69_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17609472)))]; + tensor 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("op_435_cast_fp16")]; + tensor s_45_cast_fp16 = sin(x = var_435_cast_fp16)[name = tensor("s_45_cast_fp16")]; + tensor var_439_to_fp16 = const()[name = tensor("op_439_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17609984)))]; + tensor var_442_cast_fp16 = mul(x = var_439_to_fp16, y = s_45_cast_fp16)[name = tensor("op_442_cast_fp16")]; + tensor var_443_cast_fp16 = mul(x = var_442_cast_fp16, y = s_45_cast_fp16)[name = tensor("op_443_cast_fp16")]; + tensor s_47_cast_fp16 = add(x = x_69_cast_fp16, y = var_443_cast_fp16)[name = tensor("s_47_cast_fp16")]; + tensor input_43_begin_0 = const()[name = tensor("input_43_begin_0"), val = tensor([0, 216, 0])]; + tensor input_43_end_0 = const()[name = tensor("input_43_end_0"), val = tensor([1, 432, 512])]; + tensor input_43_end_mask_0 = const()[name = tensor("input_43_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_43_cast_fp16")]; + tensor l_23_cast_fp16 = leaky_relu(alpha = var_25, x = input_43_cast_fp16)[name = tensor("l_23_cast_fp16")]; + tensor input_45_interleave_0 = const()[name = tensor("input_45_interleave_0"), val = tensor(false)]; + tensor input_45_cast_fp16 = concat(axis = var_30, interleave = input_45_interleave_0, values = (s_47_cast_fp16, l_23_cast_fp16))[name = tensor("input_45_cast_fp16")]; + tensor x_71_pad_0 = const()[name = tensor("x_71_pad_0"), val = tensor([0, 0, 0, 0, 30, 0])]; + tensor x_71_mode_0 = const()[name = tensor("x_71_mode_0"), val = tensor("constant")]; + tensor const_11_to_fp16 = const()[name = tensor("const_11_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_71_cast_fp16")]; + tensor x_73_pad_type_0 = const()[name = tensor("x_73_pad_type_0"), val = tensor("valid")]; + tensor x_73_dilations_0 = const()[name = tensor("x_73_dilations_0"), val = tensor([5])]; + tensor x_73_strides_0 = const()[name = tensor("x_73_strides_0"), val = tensor([1])]; + tensor x_73_pad_0 = const()[name = tensor("x_73_pad_0"), val = tensor([0, 0])]; + tensor x_73_groups_0 = const()[name = tensor("x_73_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17610496)))]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(20223296)))]; + tensor 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("x_73_cast_fp16")]; + tensor x_75_begin_0 = const()[name = tensor("x_75_begin_0"), val = tensor([0, 0, 0])]; + tensor x_75_end_0 = const()[name = tensor("x_75_end_0"), val = tensor([1, 216, 512])]; + tensor x_75_end_mask_0 = const()[name = tensor("x_75_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_75_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(20224256)))]; + tensor 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("op_463_cast_fp16")]; + tensor s_49_cast_fp16 = sin(x = var_463_cast_fp16)[name = tensor("s_49_cast_fp16")]; + tensor var_467_to_fp16 = const()[name = tensor("op_467_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(20224768)))]; + tensor var_470_cast_fp16 = mul(x = var_467_to_fp16, y = s_49_cast_fp16)[name = tensor("op_470_cast_fp16")]; + tensor var_471_cast_fp16 = mul(x = var_470_cast_fp16, y = s_49_cast_fp16)[name = tensor("op_471_cast_fp16")]; + tensor s_51_cast_fp16 = add(x = x_75_cast_fp16, y = var_471_cast_fp16)[name = tensor("s_51_cast_fp16")]; + tensor input_47_begin_0 = const()[name = tensor("input_47_begin_0"), val = tensor([0, 216, 0])]; + tensor input_47_end_0 = const()[name = tensor("input_47_end_0"), val = tensor([1, 432, 512])]; + tensor input_47_end_mask_0 = const()[name = tensor("input_47_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_47_cast_fp16")]; + tensor l_25_cast_fp16 = leaky_relu(alpha = var_25, x = input_47_cast_fp16)[name = tensor("l_25_cast_fp16")]; + tensor input_49_interleave_0 = const()[name = tensor("input_49_interleave_0"), val = tensor(false)]; + tensor input_49_cast_fp16 = concat(axis = var_30, interleave = input_49_interleave_0, values = (s_51_cast_fp16, l_25_cast_fp16))[name = tensor("input_49_cast_fp16")]; + tensor x_77_pad_0 = const()[name = tensor("x_77_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_77_mode_0 = const()[name = tensor("x_77_mode_0"), val = tensor("constant")]; + tensor const_12_to_fp16 = const()[name = tensor("const_12_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_77_cast_fp16")]; + tensor h_11_pad_type_0 = const()[name = tensor("h_11_pad_type_0"), val = tensor("valid")]; + tensor h_11_strides_0 = const()[name = tensor("h_11_strides_0"), val = tensor([1])]; + tensor h_11_pad_0 = const()[name = tensor("h_11_pad_0"), val = tensor([0, 0])]; + tensor h_11_dilations_0 = const()[name = tensor("h_11_dilations_0"), val = tensor([1])]; + tensor h_11_groups_0 = const()[name = tensor("h_11_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(20225280)))]; + tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22838080)))]; + tensor 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("h_11_cast_fp16")]; + tensor o_1_cast_fp16 = add(x = x_67_cast_fp16, y = h_11_cast_fp16)[name = tensor("o_1_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22839040)))]; + tensor 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("op_502_cast_fp16")]; + tensor s_53_cast_fp16 = sin(x = var_502_cast_fp16)[name = tensor("s_53_cast_fp16")]; + tensor var_506_to_fp16 = const()[name = tensor("op_506_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22839552)))]; + tensor var_509_cast_fp16 = mul(x = var_506_to_fp16, y = s_53_cast_fp16)[name = tensor("op_509_cast_fp16")]; + tensor var_510_cast_fp16 = mul(x = var_509_cast_fp16, y = s_53_cast_fp16)[name = tensor("op_510_cast_fp16")]; + tensor s_55_cast_fp16 = add(x = x_11_cast_fp16, y = var_510_cast_fp16)[name = tensor("s_55_cast_fp16")]; + tensor input_53_interleave_0 = const()[name = tensor("input_53_interleave_0"), val = tensor(false)]; + tensor input_53_cast_fp16 = concat(axis = var_30, interleave = input_53_interleave_0, values = (s_55_cast_fp16, l_3_cast_fp16))[name = tensor("input_53_cast_fp16")]; + tensor x_81_pad_0 = const()[name = tensor("x_81_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_81_mode_0 = const()[name = tensor("x_81_mode_0"), val = tensor("constant")]; + tensor const_13_to_fp16 = const()[name = tensor("const_13_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_81_cast_fp16")]; + tensor x_83_pad_type_0 = const()[name = tensor("x_83_pad_type_0"), val = tensor("valid")]; + tensor x_83_strides_0 = const()[name = tensor("x_83_strides_0"), val = tensor([1])]; + tensor x_83_pad_0 = const()[name = tensor("x_83_pad_0"), val = tensor([0, 0])]; + tensor x_83_dilations_0 = const()[name = tensor("x_83_dilations_0"), val = tensor([1])]; + tensor x_83_groups_0 = const()[name = tensor("x_83_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22840064)))]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(26945856)))]; + tensor 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("x_83_cast_fp16")]; + tensor x_85_begin_0 = const()[name = tensor("x_85_begin_0"), val = tensor([0, 0, 0])]; + tensor x_85_end_0 = const()[name = tensor("x_85_end_0"), val = tensor([1, 216, 512])]; + tensor x_85_end_mask_0 = const()[name = tensor("x_85_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_85_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(26946816)))]; + tensor 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("op_530_cast_fp16")]; + tensor s_57_cast_fp16 = sin(x = var_530_cast_fp16)[name = tensor("s_57_cast_fp16")]; + tensor var_534_to_fp16 = const()[name = tensor("op_534_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(26947328)))]; + tensor var_537_cast_fp16 = mul(x = var_534_to_fp16, y = s_57_cast_fp16)[name = tensor("op_537_cast_fp16")]; + tensor var_538_cast_fp16 = mul(x = var_537_cast_fp16, y = s_57_cast_fp16)[name = tensor("op_538_cast_fp16")]; + tensor s_59_cast_fp16 = add(x = x_85_cast_fp16, y = var_538_cast_fp16)[name = tensor("s_59_cast_fp16")]; + tensor input_55_begin_0 = const()[name = tensor("input_55_begin_0"), val = tensor([0, 216, 0])]; + tensor input_55_end_0 = const()[name = tensor("input_55_end_0"), val = tensor([1, 432, 512])]; + tensor input_55_end_mask_0 = const()[name = tensor("input_55_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_55_cast_fp16")]; + tensor l_29_cast_fp16 = leaky_relu(alpha = var_25, x = input_55_cast_fp16)[name = tensor("l_29_cast_fp16")]; + tensor input_57_interleave_0 = const()[name = tensor("input_57_interleave_0"), val = tensor(false)]; + tensor input_57_cast_fp16 = concat(axis = var_30, interleave = input_57_interleave_0, values = (s_59_cast_fp16, l_29_cast_fp16))[name = tensor("input_57_cast_fp16")]; + tensor x_87_pad_0 = const()[name = tensor("x_87_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_87_mode_0 = const()[name = tensor("x_87_mode_0"), val = tensor("constant")]; + tensor const_14_to_fp16 = const()[name = tensor("const_14_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_87_cast_fp16")]; + tensor h_13_pad_type_0 = const()[name = tensor("h_13_pad_type_0"), val = tensor("valid")]; + tensor h_13_strides_0 = const()[name = tensor("h_13_strides_0"), val = tensor([1])]; + tensor h_13_pad_0 = const()[name = tensor("h_13_pad_0"), val = tensor([0, 0])]; + tensor h_13_dilations_0 = const()[name = tensor("h_13_dilations_0"), val = tensor([1])]; + tensor h_13_groups_0 = const()[name = tensor("h_13_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(26947840)))]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(31053632)))]; + tensor 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("h_13_cast_fp16")]; + tensor x_89_cast_fp16 = add(x = x_9_cast_fp16, y = h_13_cast_fp16)[name = tensor("x_89_cast_fp16")]; + tensor x_91_begin_0 = const()[name = tensor("x_91_begin_0"), val = tensor([0, 0, 0])]; + tensor x_91_end_0 = const()[name = tensor("x_91_end_0"), val = tensor([1, 216, 512])]; + tensor x_91_end_mask_0 = const()[name = tensor("x_91_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_91_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(31054592)))]; + tensor 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("op_563_cast_fp16")]; + tensor s_61_cast_fp16 = sin(x = var_563_cast_fp16)[name = tensor("s_61_cast_fp16")]; + tensor var_567_to_fp16 = const()[name = tensor("op_567_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(31055104)))]; + tensor var_570_cast_fp16 = mul(x = var_567_to_fp16, y = s_61_cast_fp16)[name = tensor("op_570_cast_fp16")]; + tensor var_571_cast_fp16 = mul(x = var_570_cast_fp16, y = s_61_cast_fp16)[name = tensor("op_571_cast_fp16")]; + tensor s_63_cast_fp16 = add(x = x_91_cast_fp16, y = var_571_cast_fp16)[name = tensor("s_63_cast_fp16")]; + tensor input_59_begin_0 = const()[name = tensor("input_59_begin_0"), val = tensor([0, 216, 0])]; + tensor input_59_end_0 = const()[name = tensor("input_59_end_0"), val = tensor([1, 432, 512])]; + tensor input_59_end_mask_0 = const()[name = tensor("input_59_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_59_cast_fp16")]; + tensor l_31_cast_fp16 = leaky_relu(alpha = var_25, x = input_59_cast_fp16)[name = tensor("l_31_cast_fp16")]; + tensor input_61_interleave_0 = const()[name = tensor("input_61_interleave_0"), val = tensor(false)]; + tensor input_61_cast_fp16 = concat(axis = var_30, interleave = input_61_interleave_0, values = (s_63_cast_fp16, l_31_cast_fp16))[name = tensor("input_61_cast_fp16")]; + tensor x_93_pad_0 = const()[name = tensor("x_93_pad_0"), val = tensor([0, 0, 0, 0, 30, 0])]; + tensor x_93_mode_0 = const()[name = tensor("x_93_mode_0"), val = tensor("constant")]; + tensor const_15_to_fp16 = const()[name = tensor("const_15_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_93_cast_fp16")]; + tensor x_95_pad_type_0 = const()[name = tensor("x_95_pad_type_0"), val = tensor("valid")]; + tensor x_95_dilations_0 = const()[name = tensor("x_95_dilations_0"), val = tensor([3])]; + tensor x_95_strides_0 = const()[name = tensor("x_95_strides_0"), val = tensor([1])]; + tensor x_95_pad_0 = const()[name = tensor("x_95_pad_0"), val = tensor([0, 0])]; + tensor x_95_groups_0 = const()[name = tensor("x_95_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(31055616)))]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35161408)))]; + tensor 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("x_95_cast_fp16")]; + tensor x_97_begin_0 = const()[name = tensor("x_97_begin_0"), val = tensor([0, 0, 0])]; + tensor x_97_end_0 = const()[name = tensor("x_97_end_0"), val = tensor([1, 216, 512])]; + tensor x_97_end_mask_0 = const()[name = tensor("x_97_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_97_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35162368)))]; + tensor 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("op_591_cast_fp16")]; + tensor s_65_cast_fp16 = sin(x = var_591_cast_fp16)[name = tensor("s_65_cast_fp16")]; + tensor var_595_to_fp16 = const()[name = tensor("op_595_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35162880)))]; + tensor var_598_cast_fp16 = mul(x = var_595_to_fp16, y = s_65_cast_fp16)[name = tensor("op_598_cast_fp16")]; + tensor var_599_cast_fp16 = mul(x = var_598_cast_fp16, y = s_65_cast_fp16)[name = tensor("op_599_cast_fp16")]; + tensor s_67_cast_fp16 = add(x = x_97_cast_fp16, y = var_599_cast_fp16)[name = tensor("s_67_cast_fp16")]; + tensor input_63_begin_0 = const()[name = tensor("input_63_begin_0"), val = tensor([0, 216, 0])]; + tensor input_63_end_0 = const()[name = tensor("input_63_end_0"), val = tensor([1, 432, 512])]; + tensor input_63_end_mask_0 = const()[name = tensor("input_63_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_63_cast_fp16")]; + tensor l_33_cast_fp16 = leaky_relu(alpha = var_25, x = input_63_cast_fp16)[name = tensor("l_33_cast_fp16")]; + tensor input_65_interleave_0 = const()[name = tensor("input_65_interleave_0"), val = tensor(false)]; + tensor input_65_cast_fp16 = concat(axis = var_30, interleave = input_65_interleave_0, values = (s_67_cast_fp16, l_33_cast_fp16))[name = tensor("input_65_cast_fp16")]; + tensor x_99_pad_0 = const()[name = tensor("x_99_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_99_mode_0 = const()[name = tensor("x_99_mode_0"), val = tensor("constant")]; + tensor const_16_to_fp16 = const()[name = tensor("const_16_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_99_cast_fp16")]; + tensor h_15_pad_type_0 = const()[name = tensor("h_15_pad_type_0"), val = tensor("valid")]; + tensor h_15_strides_0 = const()[name = tensor("h_15_strides_0"), val = tensor([1])]; + tensor h_15_pad_0 = const()[name = tensor("h_15_pad_0"), val = tensor([0, 0])]; + tensor h_15_dilations_0 = const()[name = tensor("h_15_dilations_0"), val = tensor([1])]; + tensor h_15_groups_0 = const()[name = tensor("h_15_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35163392)))]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39269184)))]; + tensor 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("h_15_cast_fp16")]; + tensor x_101_cast_fp16 = add(x = x_89_cast_fp16, y = h_15_cast_fp16)[name = tensor("x_101_cast_fp16")]; + tensor x_103_begin_0 = const()[name = tensor("x_103_begin_0"), val = tensor([0, 0, 0])]; + tensor x_103_end_0 = const()[name = tensor("x_103_end_0"), val = tensor([1, 216, 512])]; + tensor x_103_end_mask_0 = const()[name = tensor("x_103_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_103_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39270144)))]; + tensor 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("op_624_cast_fp16")]; + tensor s_69_cast_fp16 = sin(x = var_624_cast_fp16)[name = tensor("s_69_cast_fp16")]; + tensor var_628_to_fp16 = const()[name = tensor("op_628_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39270656)))]; + tensor var_631_cast_fp16 = mul(x = var_628_to_fp16, y = s_69_cast_fp16)[name = tensor("op_631_cast_fp16")]; + tensor var_632_cast_fp16 = mul(x = var_631_cast_fp16, y = s_69_cast_fp16)[name = tensor("op_632_cast_fp16")]; + tensor s_71_cast_fp16 = add(x = x_103_cast_fp16, y = var_632_cast_fp16)[name = tensor("s_71_cast_fp16")]; + tensor input_67_begin_0 = const()[name = tensor("input_67_begin_0"), val = tensor([0, 216, 0])]; + tensor input_67_end_0 = const()[name = tensor("input_67_end_0"), val = tensor([1, 432, 512])]; + tensor input_67_end_mask_0 = const()[name = tensor("input_67_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_67_cast_fp16")]; + tensor l_35_cast_fp16 = leaky_relu(alpha = var_25, x = input_67_cast_fp16)[name = tensor("l_35_cast_fp16")]; + tensor input_69_interleave_0 = const()[name = tensor("input_69_interleave_0"), val = tensor(false)]; + tensor input_69_cast_fp16 = concat(axis = var_30, interleave = input_69_interleave_0, values = (s_71_cast_fp16, l_35_cast_fp16))[name = tensor("input_69_cast_fp16")]; + tensor x_105_pad_0 = const()[name = tensor("x_105_pad_0"), val = tensor([0, 0, 0, 0, 50, 0])]; + tensor x_105_mode_0 = const()[name = tensor("x_105_mode_0"), val = tensor("constant")]; + tensor const_17_to_fp16 = const()[name = tensor("const_17_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_105_cast_fp16")]; + tensor x_107_pad_type_0 = const()[name = tensor("x_107_pad_type_0"), val = tensor("valid")]; + tensor x_107_dilations_0 = const()[name = tensor("x_107_dilations_0"), val = tensor([5])]; + tensor x_107_strides_0 = const()[name = tensor("x_107_strides_0"), val = tensor([1])]; + tensor x_107_pad_0 = const()[name = tensor("x_107_pad_0"), val = tensor([0, 0])]; + tensor x_107_groups_0 = const()[name = tensor("x_107_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39271168)))]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(43376960)))]; + tensor 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("x_107_cast_fp16")]; + tensor x_109_begin_0 = const()[name = tensor("x_109_begin_0"), val = tensor([0, 0, 0])]; + tensor x_109_end_0 = const()[name = tensor("x_109_end_0"), val = tensor([1, 216, 512])]; + tensor x_109_end_mask_0 = const()[name = tensor("x_109_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_109_cast_fp16")]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(43377920)))]; + tensor 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("op_652_cast_fp16")]; + tensor s_73_cast_fp16 = sin(x = var_652_cast_fp16)[name = tensor("s_73_cast_fp16")]; + tensor var_656_to_fp16 = const()[name = tensor("op_656_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(43378432)))]; + tensor var_659_cast_fp16 = mul(x = var_656_to_fp16, y = s_73_cast_fp16)[name = tensor("op_659_cast_fp16")]; + tensor var_660_cast_fp16 = mul(x = var_659_cast_fp16, y = s_73_cast_fp16)[name = tensor("op_660_cast_fp16")]; + tensor s_75_cast_fp16 = add(x = x_109_cast_fp16, y = var_660_cast_fp16)[name = tensor("s_75_cast_fp16")]; + tensor input_71_begin_0 = const()[name = tensor("input_71_begin_0"), val = tensor([0, 216, 0])]; + tensor input_71_end_0 = const()[name = tensor("input_71_end_0"), val = tensor([1, 432, 512])]; + tensor input_71_end_mask_0 = const()[name = tensor("input_71_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_71_cast_fp16")]; + tensor l_37_cast_fp16 = leaky_relu(alpha = var_25, x = input_71_cast_fp16)[name = tensor("l_37_cast_fp16")]; + tensor input_73_interleave_0 = const()[name = tensor("input_73_interleave_0"), val = tensor(false)]; + tensor input_73_cast_fp16 = concat(axis = var_30, interleave = input_73_interleave_0, values = (s_75_cast_fp16, l_37_cast_fp16))[name = tensor("input_73_cast_fp16")]; + tensor x_111_pad_0 = const()[name = tensor("x_111_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_111_mode_0 = const()[name = tensor("x_111_mode_0"), val = tensor("constant")]; + tensor const_18_to_fp16 = const()[name = tensor("const_18_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_111_cast_fp16")]; + tensor h_17_pad_type_0 = const()[name = tensor("h_17_pad_type_0"), val = tensor("valid")]; + tensor h_17_strides_0 = const()[name = tensor("h_17_strides_0"), val = tensor([1])]; + tensor h_17_pad_0 = const()[name = tensor("h_17_pad_0"), val = tensor([0, 0])]; + tensor h_17_dilations_0 = const()[name = tensor("h_17_dilations_0"), val = tensor([1])]; + tensor h_17_groups_0 = const()[name = tensor("h_17_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(43378944)))]; + tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47484736)))]; + tensor 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("h_17_cast_fp16")]; + tensor o_3_cast_fp16 = add(x = x_101_cast_fp16, y = h_17_cast_fp16)[name = tensor("o_3_cast_fp16")]; + tensor s_79_cast_fp16 = add(x = s_77_cast_fp16, y = o_1_cast_fp16)[name = tensor("s_79_cast_fp16")]; + tensor s_81_cast_fp16 = add(x = s_79_cast_fp16, y = o_3_cast_fp16)[name = tensor("s_81_cast_fp16")]; + tensor _inversed_x_113_y_0_to_fp16 = const()[name = tensor("_inversed_x_113_y_0_to_fp16"), val = tensor(0x1.554p-2)]; + tensor _inversed_x_113_cast_fp16 = mul(x = s_81_cast_fp16, y = _inversed_x_113_y_0_to_fp16)[name = tensor("_inversed_x_113_cast_fp16")]; + tensor x_115_begin_0 = const()[name = tensor("x_115_begin_0"), val = tensor([0, 0, 0])]; + tensor x_115_end_0 = const()[name = tensor("x_115_end_0"), val = tensor([1, 216, 512])]; + tensor x_115_end_mask_0 = const()[name = tensor("x_115_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_115_cast_fp16")]; + tensor m_decoder_activations_1_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_activations_1_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47485696)))]; + tensor var_685_cast_fp16 = mul(x = m_decoder_activations_1_snake_act_alpha_to_fp16, y = x_115_cast_fp16)[name = tensor("op_685_cast_fp16")]; + tensor s_83_cast_fp16 = sin(x = var_685_cast_fp16)[name = tensor("s_83_cast_fp16")]; + tensor var_689_to_fp16 = const()[name = tensor("op_689_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47486208)))]; + tensor var_692_cast_fp16 = mul(x = var_689_to_fp16, y = s_83_cast_fp16)[name = tensor("op_692_cast_fp16")]; + tensor var_693_cast_fp16 = mul(x = var_692_cast_fp16, y = s_83_cast_fp16)[name = tensor("op_693_cast_fp16")]; + tensor s_85_cast_fp16 = add(x = x_115_cast_fp16, y = var_693_cast_fp16)[name = tensor("s_85_cast_fp16")]; + tensor input_75_begin_0 = const()[name = tensor("input_75_begin_0"), val = tensor([0, 216, 0])]; + tensor input_75_end_0 = const()[name = tensor("input_75_end_0"), val = tensor([1, 432, 512])]; + tensor input_75_end_mask_0 = const()[name = tensor("input_75_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_75_cast_fp16")]; + tensor l_39_cast_fp16 = leaky_relu(alpha = var_25, x = input_75_cast_fp16)[name = tensor("l_39_cast_fp16")]; + tensor x_117_interleave_0 = const()[name = tensor("x_117_interleave_0"), val = tensor(false)]; + tensor x_117_cast_fp16 = concat(axis = var_30, interleave = x_117_interleave_0, values = (s_85_cast_fp16, l_39_cast_fp16))[name = tensor("x_117_cast_fp16")]; + tensor y_3_pad_type_0 = const()[name = tensor("y_3_pad_type_0"), val = tensor("valid")]; + tensor y_3_strides_0 = const()[name = tensor("y_3_strides_0"), val = tensor([8])]; + tensor y_3_groups_0 = const()[name = tensor("y_3_groups_0"), val = tensor(216)]; + tensor y_3_pad_0 = const()[name = tensor("y_3_pad_0"), val = tensor([0, 0])]; + tensor y_3_dilations_0 = const()[name = tensor("y_3_dilations_0"), val = tensor([1])]; + tensor y_3_has_output_shape_output_shape_0 = const()[name = tensor("y_3_has_output_shape_output_shape_0"), val = tensor([1, 216, 4104])]; + tensor m_decoder_up_sample_conv_layers_1_weight_to_fp16 = const()[name = tensor("m_decoder_up_sample_conv_layers_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47486720)))]; + tensor m_decoder_up_sample_conv_layers_1_bias_to_fp16 = const()[name = tensor("m_decoder_up_sample_conv_layers_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47500608)))]; + tensor 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("y_3_has_output_shape_cast_fp16")]; + tensor x_119_begin_0 = const()[name = tensor("x_119_begin_0"), val = tensor([0, 0, 0])]; + tensor x_119_end_0 = const()[name = tensor("x_119_end_0"), val = tensor([1, 216, 4096])]; + tensor x_119_end_mask_0 = const()[name = tensor("x_119_end_mask_0"), val = tensor([true, true, false])]; + tensor 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("x_119_cast_fp16")]; + tensor x_121_begin_0 = const()[name = tensor("x_121_begin_0"), val = tensor([0, 0, 0])]; + tensor x_121_end_0 = const()[name = tensor("x_121_end_0"), val = tensor([1, 108, 4096])]; + tensor x_121_end_mask_0 = const()[name = tensor("x_121_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_121_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47501120)))]; + tensor 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("op_730_cast_fp16")]; + tensor s_87_cast_fp16 = sin(x = var_730_cast_fp16)[name = tensor("s_87_cast_fp16")]; + tensor var_734_to_fp16 = const()[name = tensor("op_734_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47501440)))]; + tensor var_737_cast_fp16 = mul(x = var_734_to_fp16, y = s_87_cast_fp16)[name = tensor("op_737_cast_fp16")]; + tensor var_738_cast_fp16 = mul(x = var_737_cast_fp16, y = s_87_cast_fp16)[name = tensor("op_738_cast_fp16")]; + tensor s_89_cast_fp16 = add(x = x_121_cast_fp16, y = var_738_cast_fp16)[name = tensor("s_89_cast_fp16")]; + tensor input_77_begin_0 = const()[name = tensor("input_77_begin_0"), val = tensor([0, 108, 0])]; + tensor input_77_end_0 = const()[name = tensor("input_77_end_0"), val = tensor([1, 216, 4096])]; + tensor input_77_end_mask_0 = const()[name = tensor("input_77_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_77_cast_fp16")]; + tensor l_41_cast_fp16 = leaky_relu(alpha = var_25, x = input_77_cast_fp16)[name = tensor("l_41_cast_fp16")]; + tensor input_79_interleave_0 = const()[name = tensor("input_79_interleave_0"), val = tensor(false)]; + tensor input_79_cast_fp16 = concat(axis = var_30, interleave = input_79_interleave_0, values = (s_89_cast_fp16, l_41_cast_fp16))[name = tensor("input_79_cast_fp16")]; + tensor x_123_pad_0 = const()[name = tensor("x_123_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_123_mode_0 = const()[name = tensor("x_123_mode_0"), val = tensor("constant")]; + tensor const_19_to_fp16 = const()[name = tensor("const_19_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_123_cast_fp16")]; + tensor x_125_pad_type_0 = const()[name = tensor("x_125_pad_type_0"), val = tensor("valid")]; + tensor x_125_strides_0 = const()[name = tensor("x_125_strides_0"), val = tensor([1])]; + tensor x_125_pad_0 = const()[name = tensor("x_125_pad_0"), val = tensor([0, 0])]; + tensor x_125_dilations_0 = const()[name = tensor("x_125_dilations_0"), val = tensor([1])]; + tensor x_125_groups_0 = const()[name = tensor("x_125_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47501760)))]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47781760)))]; + tensor 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("x_125_cast_fp16")]; + tensor x_127_begin_0 = const()[name = tensor("x_127_begin_0"), val = tensor([0, 0, 0])]; + tensor x_127_end_0 = const()[name = tensor("x_127_end_0"), val = tensor([1, 108, 4096])]; + tensor x_127_end_mask_0 = const()[name = tensor("x_127_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_127_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47782272)))]; + tensor 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("op_758_cast_fp16")]; + tensor s_91_cast_fp16 = sin(x = var_758_cast_fp16)[name = tensor("s_91_cast_fp16")]; + tensor var_762_to_fp16 = const()[name = tensor("op_762_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47782592)))]; + tensor var_765_cast_fp16 = mul(x = var_762_to_fp16, y = s_91_cast_fp16)[name = tensor("op_765_cast_fp16")]; + tensor var_766_cast_fp16 = mul(x = var_765_cast_fp16, y = s_91_cast_fp16)[name = tensor("op_766_cast_fp16")]; + tensor s_93_cast_fp16 = add(x = x_127_cast_fp16, y = var_766_cast_fp16)[name = tensor("s_93_cast_fp16")]; + tensor input_81_begin_0 = const()[name = tensor("input_81_begin_0"), val = tensor([0, 108, 0])]; + tensor input_81_end_0 = const()[name = tensor("input_81_end_0"), val = tensor([1, 216, 4096])]; + tensor input_81_end_mask_0 = const()[name = tensor("input_81_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_81_cast_fp16")]; + tensor l_43_cast_fp16 = leaky_relu(alpha = var_25, x = input_81_cast_fp16)[name = tensor("l_43_cast_fp16")]; + tensor input_83_interleave_0 = const()[name = tensor("input_83_interleave_0"), val = tensor(false)]; + tensor input_83_cast_fp16 = concat(axis = var_30, interleave = input_83_interleave_0, values = (s_93_cast_fp16, l_43_cast_fp16))[name = tensor("input_83_cast_fp16")]; + tensor x_129_pad_0 = const()[name = tensor("x_129_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_129_mode_0 = const()[name = tensor("x_129_mode_0"), val = tensor("constant")]; + tensor const_20_to_fp16 = const()[name = tensor("const_20_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_129_cast_fp16")]; + tensor h_19_pad_type_0 = const()[name = tensor("h_19_pad_type_0"), val = tensor("valid")]; + tensor h_19_strides_0 = const()[name = tensor("h_19_strides_0"), val = tensor([1])]; + tensor h_19_pad_0 = const()[name = tensor("h_19_pad_0"), val = tensor([0, 0])]; + tensor h_19_dilations_0 = const()[name = tensor("h_19_dilations_0"), val = tensor([1])]; + tensor h_19_groups_0 = const()[name = tensor("h_19_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47782912)))]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48062912)))]; + tensor 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("h_19_cast_fp16")]; + tensor x_131_cast_fp16 = add(x = x_119_cast_fp16, y = h_19_cast_fp16)[name = tensor("x_131_cast_fp16")]; + tensor x_133_begin_0 = const()[name = tensor("x_133_begin_0"), val = tensor([0, 0, 0])]; + tensor x_133_end_0 = const()[name = tensor("x_133_end_0"), val = tensor([1, 108, 4096])]; + tensor x_133_end_mask_0 = const()[name = tensor("x_133_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_133_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48063424)))]; + tensor 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("op_791_cast_fp16")]; + tensor s_95_cast_fp16 = sin(x = var_791_cast_fp16)[name = tensor("s_95_cast_fp16")]; + tensor var_795_to_fp16 = const()[name = tensor("op_795_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48063744)))]; + tensor var_798_cast_fp16 = mul(x = var_795_to_fp16, y = s_95_cast_fp16)[name = tensor("op_798_cast_fp16")]; + tensor var_799_cast_fp16 = mul(x = var_798_cast_fp16, y = s_95_cast_fp16)[name = tensor("op_799_cast_fp16")]; + tensor s_97_cast_fp16 = add(x = x_133_cast_fp16, y = var_799_cast_fp16)[name = tensor("s_97_cast_fp16")]; + tensor input_85_begin_0 = const()[name = tensor("input_85_begin_0"), val = tensor([0, 108, 0])]; + tensor input_85_end_0 = const()[name = tensor("input_85_end_0"), val = tensor([1, 216, 4096])]; + tensor input_85_end_mask_0 = const()[name = tensor("input_85_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_85_cast_fp16")]; + tensor l_45_cast_fp16 = leaky_relu(alpha = var_25, x = input_85_cast_fp16)[name = tensor("l_45_cast_fp16")]; + tensor input_87_interleave_0 = const()[name = tensor("input_87_interleave_0"), val = tensor(false)]; + tensor input_87_cast_fp16 = concat(axis = var_30, interleave = input_87_interleave_0, values = (s_97_cast_fp16, l_45_cast_fp16))[name = tensor("input_87_cast_fp16")]; + tensor x_135_pad_0 = const()[name = tensor("x_135_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_135_mode_0 = const()[name = tensor("x_135_mode_0"), val = tensor("constant")]; + tensor const_21_to_fp16 = const()[name = tensor("const_21_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_135_cast_fp16")]; + tensor x_137_pad_type_0 = const()[name = tensor("x_137_pad_type_0"), val = tensor("valid")]; + tensor x_137_dilations_0 = const()[name = tensor("x_137_dilations_0"), val = tensor([3])]; + tensor x_137_strides_0 = const()[name = tensor("x_137_strides_0"), val = tensor([1])]; + tensor x_137_pad_0 = const()[name = tensor("x_137_pad_0"), val = tensor([0, 0])]; + tensor x_137_groups_0 = const()[name = tensor("x_137_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48064064)))]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48344064)))]; + tensor 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("x_137_cast_fp16")]; + tensor x_139_begin_0 = const()[name = tensor("x_139_begin_0"), val = tensor([0, 0, 0])]; + tensor x_139_end_0 = const()[name = tensor("x_139_end_0"), val = tensor([1, 108, 4096])]; + tensor x_139_end_mask_0 = const()[name = tensor("x_139_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_139_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48344576)))]; + tensor 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("op_819_cast_fp16")]; + tensor s_99_cast_fp16 = sin(x = var_819_cast_fp16)[name = tensor("s_99_cast_fp16")]; + tensor var_823_to_fp16 = const()[name = tensor("op_823_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48344896)))]; + tensor var_826_cast_fp16 = mul(x = var_823_to_fp16, y = s_99_cast_fp16)[name = tensor("op_826_cast_fp16")]; + tensor var_827_cast_fp16 = mul(x = var_826_cast_fp16, y = s_99_cast_fp16)[name = tensor("op_827_cast_fp16")]; + tensor s_101_cast_fp16 = add(x = x_139_cast_fp16, y = var_827_cast_fp16)[name = tensor("s_101_cast_fp16")]; + tensor input_89_begin_0 = const()[name = tensor("input_89_begin_0"), val = tensor([0, 108, 0])]; + tensor input_89_end_0 = const()[name = tensor("input_89_end_0"), val = tensor([1, 216, 4096])]; + tensor input_89_end_mask_0 = const()[name = tensor("input_89_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_89_cast_fp16")]; + tensor l_47_cast_fp16 = leaky_relu(alpha = var_25, x = input_89_cast_fp16)[name = tensor("l_47_cast_fp16")]; + tensor input_91_interleave_0 = const()[name = tensor("input_91_interleave_0"), val = tensor(false)]; + tensor input_91_cast_fp16 = concat(axis = var_30, interleave = input_91_interleave_0, values = (s_101_cast_fp16, l_47_cast_fp16))[name = tensor("input_91_cast_fp16")]; + tensor x_141_pad_0 = const()[name = tensor("x_141_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_141_mode_0 = const()[name = tensor("x_141_mode_0"), val = tensor("constant")]; + tensor const_22_to_fp16 = const()[name = tensor("const_22_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_141_cast_fp16")]; + tensor h_21_pad_type_0 = const()[name = tensor("h_21_pad_type_0"), val = tensor("valid")]; + tensor h_21_strides_0 = const()[name = tensor("h_21_strides_0"), val = tensor([1])]; + tensor h_21_pad_0 = const()[name = tensor("h_21_pad_0"), val = tensor([0, 0])]; + tensor h_21_dilations_0 = const()[name = tensor("h_21_dilations_0"), val = tensor([1])]; + tensor h_21_groups_0 = const()[name = tensor("h_21_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48345216)))]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48625216)))]; + tensor 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("h_21_cast_fp16")]; + tensor x_143_cast_fp16 = add(x = x_131_cast_fp16, y = h_21_cast_fp16)[name = tensor("x_143_cast_fp16")]; + tensor x_145_begin_0 = const()[name = tensor("x_145_begin_0"), val = tensor([0, 0, 0])]; + tensor x_145_end_0 = const()[name = tensor("x_145_end_0"), val = tensor([1, 108, 4096])]; + tensor x_145_end_mask_0 = const()[name = tensor("x_145_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_145_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48625728)))]; + tensor 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("op_852_cast_fp16")]; + tensor s_103_cast_fp16 = sin(x = var_852_cast_fp16)[name = tensor("s_103_cast_fp16")]; + tensor var_856_to_fp16 = const()[name = tensor("op_856_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48626048)))]; + tensor var_859_cast_fp16 = mul(x = var_856_to_fp16, y = s_103_cast_fp16)[name = tensor("op_859_cast_fp16")]; + tensor var_860_cast_fp16 = mul(x = var_859_cast_fp16, y = s_103_cast_fp16)[name = tensor("op_860_cast_fp16")]; + tensor s_105_cast_fp16 = add(x = x_145_cast_fp16, y = var_860_cast_fp16)[name = tensor("s_105_cast_fp16")]; + tensor input_93_begin_0 = const()[name = tensor("input_93_begin_0"), val = tensor([0, 108, 0])]; + tensor input_93_end_0 = const()[name = tensor("input_93_end_0"), val = tensor([1, 216, 4096])]; + tensor input_93_end_mask_0 = const()[name = tensor("input_93_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_93_cast_fp16")]; + tensor l_49_cast_fp16 = leaky_relu(alpha = var_25, x = input_93_cast_fp16)[name = tensor("l_49_cast_fp16")]; + tensor input_95_interleave_0 = const()[name = tensor("input_95_interleave_0"), val = tensor(false)]; + tensor input_95_cast_fp16 = concat(axis = var_30, interleave = input_95_interleave_0, values = (s_105_cast_fp16, l_49_cast_fp16))[name = tensor("input_95_cast_fp16")]; + tensor x_147_pad_0 = const()[name = tensor("x_147_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_147_mode_0 = const()[name = tensor("x_147_mode_0"), val = tensor("constant")]; + tensor const_23_to_fp16 = const()[name = tensor("const_23_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_147_cast_fp16")]; + tensor x_149_pad_type_0 = const()[name = tensor("x_149_pad_type_0"), val = tensor("valid")]; + tensor x_149_dilations_0 = const()[name = tensor("x_149_dilations_0"), val = tensor([5])]; + tensor x_149_strides_0 = const()[name = tensor("x_149_strides_0"), val = tensor([1])]; + tensor x_149_pad_0 = const()[name = tensor("x_149_pad_0"), val = tensor([0, 0])]; + tensor x_149_groups_0 = const()[name = tensor("x_149_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48626368)))]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48906368)))]; + tensor 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("x_149_cast_fp16")]; + tensor x_151_begin_0 = const()[name = tensor("x_151_begin_0"), val = tensor([0, 0, 0])]; + tensor x_151_end_0 = const()[name = tensor("x_151_end_0"), val = tensor([1, 108, 4096])]; + tensor x_151_end_mask_0 = const()[name = tensor("x_151_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_151_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48906880)))]; + tensor 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("op_880_cast_fp16")]; + tensor s_107_cast_fp16 = sin(x = var_880_cast_fp16)[name = tensor("s_107_cast_fp16")]; + tensor var_884_to_fp16 = const()[name = tensor("op_884_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48907200)))]; + tensor var_887_cast_fp16 = mul(x = var_884_to_fp16, y = s_107_cast_fp16)[name = tensor("op_887_cast_fp16")]; + tensor var_888_cast_fp16 = mul(x = var_887_cast_fp16, y = s_107_cast_fp16)[name = tensor("op_888_cast_fp16")]; + tensor s_109_cast_fp16 = add(x = x_151_cast_fp16, y = var_888_cast_fp16)[name = tensor("s_109_cast_fp16")]; + tensor input_97_begin_0 = const()[name = tensor("input_97_begin_0"), val = tensor([0, 108, 0])]; + tensor input_97_end_0 = const()[name = tensor("input_97_end_0"), val = tensor([1, 216, 4096])]; + tensor input_97_end_mask_0 = const()[name = tensor("input_97_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_97_cast_fp16")]; + tensor l_51_cast_fp16 = leaky_relu(alpha = var_25, x = input_97_cast_fp16)[name = tensor("l_51_cast_fp16")]; + tensor input_99_interleave_0 = const()[name = tensor("input_99_interleave_0"), val = tensor(false)]; + tensor input_99_cast_fp16 = concat(axis = var_30, interleave = input_99_interleave_0, values = (s_109_cast_fp16, l_51_cast_fp16))[name = tensor("input_99_cast_fp16")]; + tensor x_153_pad_0 = const()[name = tensor("x_153_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_153_mode_0 = const()[name = tensor("x_153_mode_0"), val = tensor("constant")]; + tensor const_24_to_fp16 = const()[name = tensor("const_24_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_153_cast_fp16")]; + tensor h_23_pad_type_0 = const()[name = tensor("h_23_pad_type_0"), val = tensor("valid")]; + tensor h_23_strides_0 = const()[name = tensor("h_23_strides_0"), val = tensor([1])]; + tensor h_23_pad_0 = const()[name = tensor("h_23_pad_0"), val = tensor([0, 0])]; + tensor h_23_dilations_0 = const()[name = tensor("h_23_dilations_0"), val = tensor([1])]; + tensor h_23_groups_0 = const()[name = tensor("h_23_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48907520)))]; + tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(49187520)))]; + tensor 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("h_23_cast_fp16")]; + tensor s_159_cast_fp16 = add(x = x_143_cast_fp16, y = h_23_cast_fp16)[name = tensor("s_159_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(49188032)))]; + tensor 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("op_919_cast_fp16")]; + tensor s_111_cast_fp16 = sin(x = var_919_cast_fp16)[name = tensor("s_111_cast_fp16")]; + tensor var_923_to_fp16 = const()[name = tensor("op_923_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(49188352)))]; + tensor var_926_cast_fp16 = mul(x = var_923_to_fp16, y = s_111_cast_fp16)[name = tensor("op_926_cast_fp16")]; + tensor var_927_cast_fp16 = mul(x = var_926_cast_fp16, y = s_111_cast_fp16)[name = tensor("op_927_cast_fp16")]; + tensor s_113_cast_fp16 = add(x = x_121_cast_fp16, y = var_927_cast_fp16)[name = tensor("s_113_cast_fp16")]; + tensor input_103_interleave_0 = const()[name = tensor("input_103_interleave_0"), val = tensor(false)]; + tensor input_103_cast_fp16 = concat(axis = var_30, interleave = input_103_interleave_0, values = (s_113_cast_fp16, l_41_cast_fp16))[name = tensor("input_103_cast_fp16")]; + tensor x_157_pad_0 = const()[name = tensor("x_157_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_157_mode_0 = const()[name = tensor("x_157_mode_0"), val = tensor("constant")]; + tensor const_25_to_fp16 = const()[name = tensor("const_25_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_157_cast_fp16")]; + tensor x_159_pad_type_0 = const()[name = tensor("x_159_pad_type_0"), val = tensor("valid")]; + tensor x_159_strides_0 = const()[name = tensor("x_159_strides_0"), val = tensor([1])]; + tensor x_159_pad_0 = const()[name = tensor("x_159_pad_0"), val = tensor([0, 0])]; + tensor x_159_dilations_0 = const()[name = tensor("x_159_dilations_0"), val = tensor([1])]; + tensor x_159_groups_0 = const()[name = tensor("x_159_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(49188672)))]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(49841920)))]; + tensor 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("x_159_cast_fp16")]; + tensor x_161_begin_0 = const()[name = tensor("x_161_begin_0"), val = tensor([0, 0, 0])]; + tensor x_161_end_0 = const()[name = tensor("x_161_end_0"), val = tensor([1, 108, 4096])]; + tensor x_161_end_mask_0 = const()[name = tensor("x_161_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_161_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(49842432)))]; + tensor 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("op_947_cast_fp16")]; + tensor s_115_cast_fp16 = sin(x = var_947_cast_fp16)[name = tensor("s_115_cast_fp16")]; + tensor var_951_to_fp16 = const()[name = tensor("op_951_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(49842752)))]; + tensor var_954_cast_fp16 = mul(x = var_951_to_fp16, y = s_115_cast_fp16)[name = tensor("op_954_cast_fp16")]; + tensor var_955_cast_fp16 = mul(x = var_954_cast_fp16, y = s_115_cast_fp16)[name = tensor("op_955_cast_fp16")]; + tensor s_117_cast_fp16 = add(x = x_161_cast_fp16, y = var_955_cast_fp16)[name = tensor("s_117_cast_fp16")]; + tensor input_105_begin_0 = const()[name = tensor("input_105_begin_0"), val = tensor([0, 108, 0])]; + tensor input_105_end_0 = const()[name = tensor("input_105_end_0"), val = tensor([1, 216, 4096])]; + tensor input_105_end_mask_0 = const()[name = tensor("input_105_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_105_cast_fp16")]; + tensor l_55_cast_fp16 = leaky_relu(alpha = var_25, x = input_105_cast_fp16)[name = tensor("l_55_cast_fp16")]; + tensor input_107_interleave_0 = const()[name = tensor("input_107_interleave_0"), val = tensor(false)]; + tensor input_107_cast_fp16 = concat(axis = var_30, interleave = input_107_interleave_0, values = (s_117_cast_fp16, l_55_cast_fp16))[name = tensor("input_107_cast_fp16")]; + tensor x_163_pad_0 = const()[name = tensor("x_163_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_163_mode_0 = const()[name = tensor("x_163_mode_0"), val = tensor("constant")]; + tensor const_26_to_fp16 = const()[name = tensor("const_26_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_163_cast_fp16")]; + tensor h_25_pad_type_0 = const()[name = tensor("h_25_pad_type_0"), val = tensor("valid")]; + tensor h_25_strides_0 = const()[name = tensor("h_25_strides_0"), val = tensor([1])]; + tensor h_25_pad_0 = const()[name = tensor("h_25_pad_0"), val = tensor([0, 0])]; + tensor h_25_dilations_0 = const()[name = tensor("h_25_dilations_0"), val = tensor([1])]; + tensor h_25_groups_0 = const()[name = tensor("h_25_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(49843072)))]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(50496320)))]; + tensor 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("h_25_cast_fp16")]; + tensor x_165_cast_fp16 = add(x = x_119_cast_fp16, y = h_25_cast_fp16)[name = tensor("x_165_cast_fp16")]; + tensor x_167_begin_0 = const()[name = tensor("x_167_begin_0"), val = tensor([0, 0, 0])]; + tensor x_167_end_0 = const()[name = tensor("x_167_end_0"), val = tensor([1, 108, 4096])]; + tensor x_167_end_mask_0 = const()[name = tensor("x_167_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_167_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(50496832)))]; + tensor 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("op_980_cast_fp16")]; + tensor s_119_cast_fp16 = sin(x = var_980_cast_fp16)[name = tensor("s_119_cast_fp16")]; + tensor var_984_to_fp16 = const()[name = tensor("op_984_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(50497152)))]; + tensor var_987_cast_fp16 = mul(x = var_984_to_fp16, y = s_119_cast_fp16)[name = tensor("op_987_cast_fp16")]; + tensor var_988_cast_fp16 = mul(x = var_987_cast_fp16, y = s_119_cast_fp16)[name = tensor("op_988_cast_fp16")]; + tensor s_121_cast_fp16 = add(x = x_167_cast_fp16, y = var_988_cast_fp16)[name = tensor("s_121_cast_fp16")]; + tensor input_109_begin_0 = const()[name = tensor("input_109_begin_0"), val = tensor([0, 108, 0])]; + tensor input_109_end_0 = const()[name = tensor("input_109_end_0"), val = tensor([1, 216, 4096])]; + tensor input_109_end_mask_0 = const()[name = tensor("input_109_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_109_cast_fp16")]; + tensor l_57_cast_fp16 = leaky_relu(alpha = var_25, x = input_109_cast_fp16)[name = tensor("l_57_cast_fp16")]; + tensor input_111_interleave_0 = const()[name = tensor("input_111_interleave_0"), val = tensor(false)]; + tensor input_111_cast_fp16 = concat(axis = var_30, interleave = input_111_interleave_0, values = (s_121_cast_fp16, l_57_cast_fp16))[name = tensor("input_111_cast_fp16")]; + tensor x_169_pad_0 = const()[name = tensor("x_169_pad_0"), val = tensor([0, 0, 0, 0, 18, 0])]; + tensor x_169_mode_0 = const()[name = tensor("x_169_mode_0"), val = tensor("constant")]; + tensor const_27_to_fp16 = const()[name = tensor("const_27_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_169_cast_fp16")]; + tensor x_171_pad_type_0 = const()[name = tensor("x_171_pad_type_0"), val = tensor("valid")]; + tensor x_171_dilations_0 = const()[name = tensor("x_171_dilations_0"), val = tensor([3])]; + tensor x_171_strides_0 = const()[name = tensor("x_171_strides_0"), val = tensor([1])]; + tensor x_171_pad_0 = const()[name = tensor("x_171_pad_0"), val = tensor([0, 0])]; + tensor x_171_groups_0 = const()[name = tensor("x_171_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(50497472)))]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(51150720)))]; + tensor 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("x_171_cast_fp16")]; + tensor x_173_begin_0 = const()[name = tensor("x_173_begin_0"), val = tensor([0, 0, 0])]; + tensor x_173_end_0 = const()[name = tensor("x_173_end_0"), val = tensor([1, 108, 4096])]; + tensor x_173_end_mask_0 = const()[name = tensor("x_173_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_173_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(51151232)))]; + tensor 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("op_1008_cast_fp16")]; + tensor s_123_cast_fp16 = sin(x = var_1008_cast_fp16)[name = tensor("s_123_cast_fp16")]; + tensor var_1012_to_fp16 = const()[name = tensor("op_1012_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(51151552)))]; + tensor var_1015_cast_fp16 = mul(x = var_1012_to_fp16, y = s_123_cast_fp16)[name = tensor("op_1015_cast_fp16")]; + tensor var_1016_cast_fp16 = mul(x = var_1015_cast_fp16, y = s_123_cast_fp16)[name = tensor("op_1016_cast_fp16")]; + tensor s_125_cast_fp16 = add(x = x_173_cast_fp16, y = var_1016_cast_fp16)[name = tensor("s_125_cast_fp16")]; + tensor input_113_begin_0 = const()[name = tensor("input_113_begin_0"), val = tensor([0, 108, 0])]; + tensor input_113_end_0 = const()[name = tensor("input_113_end_0"), val = tensor([1, 216, 4096])]; + tensor input_113_end_mask_0 = const()[name = tensor("input_113_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_113_cast_fp16")]; + tensor l_59_cast_fp16 = leaky_relu(alpha = var_25, x = input_113_cast_fp16)[name = tensor("l_59_cast_fp16")]; + tensor input_115_interleave_0 = const()[name = tensor("input_115_interleave_0"), val = tensor(false)]; + tensor input_115_cast_fp16 = concat(axis = var_30, interleave = input_115_interleave_0, values = (s_125_cast_fp16, l_59_cast_fp16))[name = tensor("input_115_cast_fp16")]; + tensor x_175_pad_0 = const()[name = tensor("x_175_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_175_mode_0 = const()[name = tensor("x_175_mode_0"), val = tensor("constant")]; + tensor const_28_to_fp16 = const()[name = tensor("const_28_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_175_cast_fp16")]; + tensor h_27_pad_type_0 = const()[name = tensor("h_27_pad_type_0"), val = tensor("valid")]; + tensor h_27_strides_0 = const()[name = tensor("h_27_strides_0"), val = tensor([1])]; + tensor h_27_pad_0 = const()[name = tensor("h_27_pad_0"), val = tensor([0, 0])]; + tensor h_27_dilations_0 = const()[name = tensor("h_27_dilations_0"), val = tensor([1])]; + tensor h_27_groups_0 = const()[name = tensor("h_27_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(51151872)))]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(51805120)))]; + tensor 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("h_27_cast_fp16")]; + tensor x_177_cast_fp16 = add(x = x_165_cast_fp16, y = h_27_cast_fp16)[name = tensor("x_177_cast_fp16")]; + tensor x_179_begin_0 = const()[name = tensor("x_179_begin_0"), val = tensor([0, 0, 0])]; + tensor x_179_end_0 = const()[name = tensor("x_179_end_0"), val = tensor([1, 108, 4096])]; + tensor x_179_end_mask_0 = const()[name = tensor("x_179_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_179_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(51805632)))]; + tensor 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("op_1041_cast_fp16")]; + tensor s_127_cast_fp16 = sin(x = var_1041_cast_fp16)[name = tensor("s_127_cast_fp16")]; + tensor var_1045_to_fp16 = const()[name = tensor("op_1045_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(51805952)))]; + tensor var_1048_cast_fp16 = mul(x = var_1045_to_fp16, y = s_127_cast_fp16)[name = tensor("op_1048_cast_fp16")]; + tensor var_1049_cast_fp16 = mul(x = var_1048_cast_fp16, y = s_127_cast_fp16)[name = tensor("op_1049_cast_fp16")]; + tensor s_129_cast_fp16 = add(x = x_179_cast_fp16, y = var_1049_cast_fp16)[name = tensor("s_129_cast_fp16")]; + tensor input_117_begin_0 = const()[name = tensor("input_117_begin_0"), val = tensor([0, 108, 0])]; + tensor input_117_end_0 = const()[name = tensor("input_117_end_0"), val = tensor([1, 216, 4096])]; + tensor input_117_end_mask_0 = const()[name = tensor("input_117_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_117_cast_fp16")]; + tensor l_61_cast_fp16 = leaky_relu(alpha = var_25, x = input_117_cast_fp16)[name = tensor("l_61_cast_fp16")]; + tensor input_119_interleave_0 = const()[name = tensor("input_119_interleave_0"), val = tensor(false)]; + tensor input_119_cast_fp16 = concat(axis = var_30, interleave = input_119_interleave_0, values = (s_129_cast_fp16, l_61_cast_fp16))[name = tensor("input_119_cast_fp16")]; + tensor x_181_pad_0 = const()[name = tensor("x_181_pad_0"), val = tensor([0, 0, 0, 0, 30, 0])]; + tensor x_181_mode_0 = const()[name = tensor("x_181_mode_0"), val = tensor("constant")]; + tensor const_29_to_fp16 = const()[name = tensor("const_29_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_181_cast_fp16")]; + tensor x_183_pad_type_0 = const()[name = tensor("x_183_pad_type_0"), val = tensor("valid")]; + tensor x_183_dilations_0 = const()[name = tensor("x_183_dilations_0"), val = tensor([5])]; + tensor x_183_strides_0 = const()[name = tensor("x_183_strides_0"), val = tensor([1])]; + tensor x_183_pad_0 = const()[name = tensor("x_183_pad_0"), val = tensor([0, 0])]; + tensor x_183_groups_0 = const()[name = tensor("x_183_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(51806272)))]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(52459520)))]; + tensor 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("x_183_cast_fp16")]; + tensor x_185_begin_0 = const()[name = tensor("x_185_begin_0"), val = tensor([0, 0, 0])]; + tensor x_185_end_0 = const()[name = tensor("x_185_end_0"), val = tensor([1, 108, 4096])]; + tensor x_185_end_mask_0 = const()[name = tensor("x_185_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_185_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(52460032)))]; + tensor 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("op_1069_cast_fp16")]; + tensor s_131_cast_fp16 = sin(x = var_1069_cast_fp16)[name = tensor("s_131_cast_fp16")]; + tensor var_1073_to_fp16 = const()[name = tensor("op_1073_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(52460352)))]; + tensor var_1076_cast_fp16 = mul(x = var_1073_to_fp16, y = s_131_cast_fp16)[name = tensor("op_1076_cast_fp16")]; + tensor var_1077_cast_fp16 = mul(x = var_1076_cast_fp16, y = s_131_cast_fp16)[name = tensor("op_1077_cast_fp16")]; + tensor s_133_cast_fp16 = add(x = x_185_cast_fp16, y = var_1077_cast_fp16)[name = tensor("s_133_cast_fp16")]; + tensor input_121_begin_0 = const()[name = tensor("input_121_begin_0"), val = tensor([0, 108, 0])]; + tensor input_121_end_0 = const()[name = tensor("input_121_end_0"), val = tensor([1, 216, 4096])]; + tensor input_121_end_mask_0 = const()[name = tensor("input_121_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_121_cast_fp16")]; + tensor l_63_cast_fp16 = leaky_relu(alpha = var_25, x = input_121_cast_fp16)[name = tensor("l_63_cast_fp16")]; + tensor input_123_interleave_0 = const()[name = tensor("input_123_interleave_0"), val = tensor(false)]; + tensor input_123_cast_fp16 = concat(axis = var_30, interleave = input_123_interleave_0, values = (s_133_cast_fp16, l_63_cast_fp16))[name = tensor("input_123_cast_fp16")]; + tensor x_187_pad_0 = const()[name = tensor("x_187_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_187_mode_0 = const()[name = tensor("x_187_mode_0"), val = tensor("constant")]; + tensor const_30_to_fp16 = const()[name = tensor("const_30_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_187_cast_fp16")]; + tensor h_29_pad_type_0 = const()[name = tensor("h_29_pad_type_0"), val = tensor("valid")]; + tensor h_29_strides_0 = const()[name = tensor("h_29_strides_0"), val = tensor([1])]; + tensor h_29_pad_0 = const()[name = tensor("h_29_pad_0"), val = tensor([0, 0])]; + tensor h_29_dilations_0 = const()[name = tensor("h_29_dilations_0"), val = tensor([1])]; + tensor h_29_groups_0 = const()[name = tensor("h_29_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(52460672)))]; + tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53113920)))]; + tensor 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("h_29_cast_fp16")]; + tensor o_5_cast_fp16 = add(x = x_177_cast_fp16, y = h_29_cast_fp16)[name = tensor("o_5_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53114432)))]; + tensor 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("op_1108_cast_fp16")]; + tensor s_135_cast_fp16 = sin(x = var_1108_cast_fp16)[name = tensor("s_135_cast_fp16")]; + tensor var_1112_to_fp16 = const()[name = tensor("op_1112_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53114752)))]; + tensor var_1115_cast_fp16 = mul(x = var_1112_to_fp16, y = s_135_cast_fp16)[name = tensor("op_1115_cast_fp16")]; + tensor var_1116_cast_fp16 = mul(x = var_1115_cast_fp16, y = s_135_cast_fp16)[name = tensor("op_1116_cast_fp16")]; + tensor s_137_cast_fp16 = add(x = x_121_cast_fp16, y = var_1116_cast_fp16)[name = tensor("s_137_cast_fp16")]; + tensor input_127_interleave_0 = const()[name = tensor("input_127_interleave_0"), val = tensor(false)]; + tensor input_127_cast_fp16 = concat(axis = var_30, interleave = input_127_interleave_0, values = (s_137_cast_fp16, l_41_cast_fp16))[name = tensor("input_127_cast_fp16")]; + tensor x_191_pad_0 = const()[name = tensor("x_191_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_191_mode_0 = const()[name = tensor("x_191_mode_0"), val = tensor("constant")]; + tensor const_31_to_fp16 = const()[name = tensor("const_31_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_191_cast_fp16")]; + tensor x_193_pad_type_0 = const()[name = tensor("x_193_pad_type_0"), val = tensor("valid")]; + tensor x_193_strides_0 = const()[name = tensor("x_193_strides_0"), val = tensor([1])]; + tensor x_193_pad_0 = const()[name = tensor("x_193_pad_0"), val = tensor([0, 0])]; + tensor x_193_dilations_0 = const()[name = tensor("x_193_dilations_0"), val = tensor([1])]; + tensor x_193_groups_0 = const()[name = tensor("x_193_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53115072)))]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(54141568)))]; + tensor 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("x_193_cast_fp16")]; + tensor x_195_begin_0 = const()[name = tensor("x_195_begin_0"), val = tensor([0, 0, 0])]; + tensor x_195_end_0 = const()[name = tensor("x_195_end_0"), val = tensor([1, 108, 4096])]; + tensor x_195_end_mask_0 = const()[name = tensor("x_195_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_195_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(54142080)))]; + tensor 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("op_1136_cast_fp16")]; + tensor s_139_cast_fp16 = sin(x = var_1136_cast_fp16)[name = tensor("s_139_cast_fp16")]; + tensor var_1140_to_fp16 = const()[name = tensor("op_1140_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(54142400)))]; + tensor var_1143_cast_fp16 = mul(x = var_1140_to_fp16, y = s_139_cast_fp16)[name = tensor("op_1143_cast_fp16")]; + tensor var_1144_cast_fp16 = mul(x = var_1143_cast_fp16, y = s_139_cast_fp16)[name = tensor("op_1144_cast_fp16")]; + tensor s_141_cast_fp16 = add(x = x_195_cast_fp16, y = var_1144_cast_fp16)[name = tensor("s_141_cast_fp16")]; + tensor input_129_begin_0 = const()[name = tensor("input_129_begin_0"), val = tensor([0, 108, 0])]; + tensor input_129_end_0 = const()[name = tensor("input_129_end_0"), val = tensor([1, 216, 4096])]; + tensor input_129_end_mask_0 = const()[name = tensor("input_129_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_129_cast_fp16")]; + tensor l_67_cast_fp16 = leaky_relu(alpha = var_25, x = input_129_cast_fp16)[name = tensor("l_67_cast_fp16")]; + tensor input_131_interleave_0 = const()[name = tensor("input_131_interleave_0"), val = tensor(false)]; + tensor input_131_cast_fp16 = concat(axis = var_30, interleave = input_131_interleave_0, values = (s_141_cast_fp16, l_67_cast_fp16))[name = tensor("input_131_cast_fp16")]; + tensor x_197_pad_0 = const()[name = tensor("x_197_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_197_mode_0 = const()[name = tensor("x_197_mode_0"), val = tensor("constant")]; + tensor const_32_to_fp16 = const()[name = tensor("const_32_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_197_cast_fp16")]; + tensor h_31_pad_type_0 = const()[name = tensor("h_31_pad_type_0"), val = tensor("valid")]; + tensor h_31_strides_0 = const()[name = tensor("h_31_strides_0"), val = tensor([1])]; + tensor h_31_pad_0 = const()[name = tensor("h_31_pad_0"), val = tensor([0, 0])]; + tensor h_31_dilations_0 = const()[name = tensor("h_31_dilations_0"), val = tensor([1])]; + tensor h_31_groups_0 = const()[name = tensor("h_31_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(54142720)))]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(55169216)))]; + tensor 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("h_31_cast_fp16")]; + tensor x_199_cast_fp16 = add(x = x_119_cast_fp16, y = h_31_cast_fp16)[name = tensor("x_199_cast_fp16")]; + tensor x_201_begin_0 = const()[name = tensor("x_201_begin_0"), val = tensor([0, 0, 0])]; + tensor x_201_end_0 = const()[name = tensor("x_201_end_0"), val = tensor([1, 108, 4096])]; + tensor x_201_end_mask_0 = const()[name = tensor("x_201_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_201_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(55169728)))]; + tensor 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("op_1169_cast_fp16")]; + tensor s_143_cast_fp16 = sin(x = var_1169_cast_fp16)[name = tensor("s_143_cast_fp16")]; + tensor var_1173_to_fp16 = const()[name = tensor("op_1173_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(55170048)))]; + tensor var_1176_cast_fp16 = mul(x = var_1173_to_fp16, y = s_143_cast_fp16)[name = tensor("op_1176_cast_fp16")]; + tensor var_1177_cast_fp16 = mul(x = var_1176_cast_fp16, y = s_143_cast_fp16)[name = tensor("op_1177_cast_fp16")]; + tensor s_145_cast_fp16 = add(x = x_201_cast_fp16, y = var_1177_cast_fp16)[name = tensor("s_145_cast_fp16")]; + tensor input_133_begin_0 = const()[name = tensor("input_133_begin_0"), val = tensor([0, 108, 0])]; + tensor input_133_end_0 = const()[name = tensor("input_133_end_0"), val = tensor([1, 216, 4096])]; + tensor input_133_end_mask_0 = const()[name = tensor("input_133_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_133_cast_fp16")]; + tensor l_69_cast_fp16 = leaky_relu(alpha = var_25, x = input_133_cast_fp16)[name = tensor("l_69_cast_fp16")]; + tensor input_135_interleave_0 = const()[name = tensor("input_135_interleave_0"), val = tensor(false)]; + tensor input_135_cast_fp16 = concat(axis = var_30, interleave = input_135_interleave_0, values = (s_145_cast_fp16, l_69_cast_fp16))[name = tensor("input_135_cast_fp16")]; + tensor x_203_pad_0 = const()[name = tensor("x_203_pad_0"), val = tensor([0, 0, 0, 0, 30, 0])]; + tensor x_203_mode_0 = const()[name = tensor("x_203_mode_0"), val = tensor("constant")]; + tensor const_33_to_fp16 = const()[name = tensor("const_33_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_203_cast_fp16")]; + tensor x_205_pad_type_0 = const()[name = tensor("x_205_pad_type_0"), val = tensor("valid")]; + tensor x_205_dilations_0 = const()[name = tensor("x_205_dilations_0"), val = tensor([3])]; + tensor x_205_strides_0 = const()[name = tensor("x_205_strides_0"), val = tensor([1])]; + tensor x_205_pad_0 = const()[name = tensor("x_205_pad_0"), val = tensor([0, 0])]; + tensor x_205_groups_0 = const()[name = tensor("x_205_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(55170368)))]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(56196864)))]; + tensor 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("x_205_cast_fp16")]; + tensor x_207_begin_0 = const()[name = tensor("x_207_begin_0"), val = tensor([0, 0, 0])]; + tensor x_207_end_0 = const()[name = tensor("x_207_end_0"), val = tensor([1, 108, 4096])]; + tensor x_207_end_mask_0 = const()[name = tensor("x_207_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_207_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(56197376)))]; + tensor 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("op_1197_cast_fp16")]; + tensor s_147_cast_fp16 = sin(x = var_1197_cast_fp16)[name = tensor("s_147_cast_fp16")]; + tensor var_1201_to_fp16 = const()[name = tensor("op_1201_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(56197696)))]; + tensor var_1204_cast_fp16 = mul(x = var_1201_to_fp16, y = s_147_cast_fp16)[name = tensor("op_1204_cast_fp16")]; + tensor var_1205_cast_fp16 = mul(x = var_1204_cast_fp16, y = s_147_cast_fp16)[name = tensor("op_1205_cast_fp16")]; + tensor s_149_cast_fp16 = add(x = x_207_cast_fp16, y = var_1205_cast_fp16)[name = tensor("s_149_cast_fp16")]; + tensor input_137_begin_0 = const()[name = tensor("input_137_begin_0"), val = tensor([0, 108, 0])]; + tensor input_137_end_0 = const()[name = tensor("input_137_end_0"), val = tensor([1, 216, 4096])]; + tensor input_137_end_mask_0 = const()[name = tensor("input_137_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_137_cast_fp16")]; + tensor l_71_cast_fp16 = leaky_relu(alpha = var_25, x = input_137_cast_fp16)[name = tensor("l_71_cast_fp16")]; + tensor input_139_interleave_0 = const()[name = tensor("input_139_interleave_0"), val = tensor(false)]; + tensor input_139_cast_fp16 = concat(axis = var_30, interleave = input_139_interleave_0, values = (s_149_cast_fp16, l_71_cast_fp16))[name = tensor("input_139_cast_fp16")]; + tensor x_209_pad_0 = const()[name = tensor("x_209_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_209_mode_0 = const()[name = tensor("x_209_mode_0"), val = tensor("constant")]; + tensor const_34_to_fp16 = const()[name = tensor("const_34_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_209_cast_fp16")]; + tensor h_33_pad_type_0 = const()[name = tensor("h_33_pad_type_0"), val = tensor("valid")]; + tensor h_33_strides_0 = const()[name = tensor("h_33_strides_0"), val = tensor([1])]; + tensor h_33_pad_0 = const()[name = tensor("h_33_pad_0"), val = tensor([0, 0])]; + tensor h_33_dilations_0 = const()[name = tensor("h_33_dilations_0"), val = tensor([1])]; + tensor h_33_groups_0 = const()[name = tensor("h_33_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(56198016)))]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(57224512)))]; + tensor 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("h_33_cast_fp16")]; + tensor x_211_cast_fp16 = add(x = x_199_cast_fp16, y = h_33_cast_fp16)[name = tensor("x_211_cast_fp16")]; + tensor x_213_begin_0 = const()[name = tensor("x_213_begin_0"), val = tensor([0, 0, 0])]; + tensor x_213_end_0 = const()[name = tensor("x_213_end_0"), val = tensor([1, 108, 4096])]; + tensor x_213_end_mask_0 = const()[name = tensor("x_213_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_213_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(57225024)))]; + tensor 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("op_1230_cast_fp16")]; + tensor s_151_cast_fp16 = sin(x = var_1230_cast_fp16)[name = tensor("s_151_cast_fp16")]; + tensor var_1234_to_fp16 = const()[name = tensor("op_1234_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(57225344)))]; + tensor var_1237_cast_fp16 = mul(x = var_1234_to_fp16, y = s_151_cast_fp16)[name = tensor("op_1237_cast_fp16")]; + tensor var_1238_cast_fp16 = mul(x = var_1237_cast_fp16, y = s_151_cast_fp16)[name = tensor("op_1238_cast_fp16")]; + tensor s_153_cast_fp16 = add(x = x_213_cast_fp16, y = var_1238_cast_fp16)[name = tensor("s_153_cast_fp16")]; + tensor input_141_begin_0 = const()[name = tensor("input_141_begin_0"), val = tensor([0, 108, 0])]; + tensor input_141_end_0 = const()[name = tensor("input_141_end_0"), val = tensor([1, 216, 4096])]; + tensor input_141_end_mask_0 = const()[name = tensor("input_141_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_141_cast_fp16")]; + tensor l_73_cast_fp16 = leaky_relu(alpha = var_25, x = input_141_cast_fp16)[name = tensor("l_73_cast_fp16")]; + tensor input_143_interleave_0 = const()[name = tensor("input_143_interleave_0"), val = tensor(false)]; + tensor input_143_cast_fp16 = concat(axis = var_30, interleave = input_143_interleave_0, values = (s_153_cast_fp16, l_73_cast_fp16))[name = tensor("input_143_cast_fp16")]; + tensor x_215_pad_0 = const()[name = tensor("x_215_pad_0"), val = tensor([0, 0, 0, 0, 50, 0])]; + tensor x_215_mode_0 = const()[name = tensor("x_215_mode_0"), val = tensor("constant")]; + tensor const_35_to_fp16 = const()[name = tensor("const_35_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_215_cast_fp16")]; + tensor x_217_pad_type_0 = const()[name = tensor("x_217_pad_type_0"), val = tensor("valid")]; + tensor x_217_dilations_0 = const()[name = tensor("x_217_dilations_0"), val = tensor([5])]; + tensor x_217_strides_0 = const()[name = tensor("x_217_strides_0"), val = tensor([1])]; + tensor x_217_pad_0 = const()[name = tensor("x_217_pad_0"), val = tensor([0, 0])]; + tensor x_217_groups_0 = const()[name = tensor("x_217_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(57225664)))]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(58252160)))]; + tensor 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("x_217_cast_fp16")]; + tensor x_219_begin_0 = const()[name = tensor("x_219_begin_0"), val = tensor([0, 0, 0])]; + tensor x_219_end_0 = const()[name = tensor("x_219_end_0"), val = tensor([1, 108, 4096])]; + tensor x_219_end_mask_0 = const()[name = tensor("x_219_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_219_cast_fp16")]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(58252672)))]; + tensor 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("op_1258_cast_fp16")]; + tensor s_155_cast_fp16 = sin(x = var_1258_cast_fp16)[name = tensor("s_155_cast_fp16")]; + tensor var_1262_to_fp16 = const()[name = tensor("op_1262_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(58252992)))]; + tensor var_1265_cast_fp16 = mul(x = var_1262_to_fp16, y = s_155_cast_fp16)[name = tensor("op_1265_cast_fp16")]; + tensor var_1266_cast_fp16 = mul(x = var_1265_cast_fp16, y = s_155_cast_fp16)[name = tensor("op_1266_cast_fp16")]; + tensor s_157_cast_fp16 = add(x = x_219_cast_fp16, y = var_1266_cast_fp16)[name = tensor("s_157_cast_fp16")]; + tensor input_145_begin_0 = const()[name = tensor("input_145_begin_0"), val = tensor([0, 108, 0])]; + tensor input_145_end_0 = const()[name = tensor("input_145_end_0"), val = tensor([1, 216, 4096])]; + tensor input_145_end_mask_0 = const()[name = tensor("input_145_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_145_cast_fp16")]; + tensor l_75_cast_fp16 = leaky_relu(alpha = var_25, x = input_145_cast_fp16)[name = tensor("l_75_cast_fp16")]; + tensor input_147_interleave_0 = const()[name = tensor("input_147_interleave_0"), val = tensor(false)]; + tensor input_147_cast_fp16 = concat(axis = var_30, interleave = input_147_interleave_0, values = (s_157_cast_fp16, l_75_cast_fp16))[name = tensor("input_147_cast_fp16")]; + tensor x_221_pad_0 = const()[name = tensor("x_221_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_221_mode_0 = const()[name = tensor("x_221_mode_0"), val = tensor("constant")]; + tensor const_36_to_fp16 = const()[name = tensor("const_36_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_221_cast_fp16")]; + tensor h_35_pad_type_0 = const()[name = tensor("h_35_pad_type_0"), val = tensor("valid")]; + tensor h_35_strides_0 = const()[name = tensor("h_35_strides_0"), val = tensor([1])]; + tensor h_35_pad_0 = const()[name = tensor("h_35_pad_0"), val = tensor([0, 0])]; + tensor h_35_dilations_0 = const()[name = tensor("h_35_dilations_0"), val = tensor([1])]; + tensor h_35_groups_0 = const()[name = tensor("h_35_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(58253312)))]; + tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59279808)))]; + tensor 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("h_35_cast_fp16")]; + tensor o_7_cast_fp16 = add(x = x_211_cast_fp16, y = h_35_cast_fp16)[name = tensor("o_7_cast_fp16")]; + tensor s_161_cast_fp16 = add(x = s_159_cast_fp16, y = o_5_cast_fp16)[name = tensor("s_161_cast_fp16")]; + tensor s_163_cast_fp16 = add(x = s_161_cast_fp16, y = o_7_cast_fp16)[name = tensor("s_163_cast_fp16")]; + tensor _inversed_x_223_y_0_to_fp16 = const()[name = tensor("_inversed_x_223_y_0_to_fp16"), val = tensor(0x1.554p-2)]; + tensor _inversed_x_223_cast_fp16 = mul(x = s_163_cast_fp16, y = _inversed_x_223_y_0_to_fp16)[name = tensor("_inversed_x_223_cast_fp16")]; + tensor x_225_begin_0 = const()[name = tensor("x_225_begin_0"), val = tensor([0, 0, 0])]; + tensor x_225_end_0 = const()[name = tensor("x_225_end_0"), val = tensor([1, 108, 4096])]; + tensor x_225_end_mask_0 = const()[name = tensor("x_225_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_225_cast_fp16")]; + tensor m_decoder_activations_2_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_activations_2_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59280320)))]; + tensor var_1291_cast_fp16 = mul(x = m_decoder_activations_2_snake_act_alpha_to_fp16, y = x_225_cast_fp16)[name = tensor("op_1291_cast_fp16")]; + tensor s_165_cast_fp16 = sin(x = var_1291_cast_fp16)[name = tensor("s_165_cast_fp16")]; + tensor var_1295_to_fp16 = const()[name = tensor("op_1295_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59280640)))]; + tensor var_1298_cast_fp16 = mul(x = var_1295_to_fp16, y = s_165_cast_fp16)[name = tensor("op_1298_cast_fp16")]; + tensor var_1299_cast_fp16 = mul(x = var_1298_cast_fp16, y = s_165_cast_fp16)[name = tensor("op_1299_cast_fp16")]; + tensor s_167_cast_fp16 = add(x = x_225_cast_fp16, y = var_1299_cast_fp16)[name = tensor("s_167_cast_fp16")]; + tensor input_149_begin_0 = const()[name = tensor("input_149_begin_0"), val = tensor([0, 108, 0])]; + tensor input_149_end_0 = const()[name = tensor("input_149_end_0"), val = tensor([1, 216, 4096])]; + tensor input_149_end_mask_0 = const()[name = tensor("input_149_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_149_cast_fp16")]; + tensor l_77_cast_fp16 = leaky_relu(alpha = var_25, x = input_149_cast_fp16)[name = tensor("l_77_cast_fp16")]; + tensor x_227_interleave_0 = const()[name = tensor("x_227_interleave_0"), val = tensor(false)]; + tensor x_227_cast_fp16 = concat(axis = var_30, interleave = x_227_interleave_0, values = (s_167_cast_fp16, l_77_cast_fp16))[name = tensor("x_227_cast_fp16")]; + tensor y_5_pad_type_0 = const()[name = tensor("y_5_pad_type_0"), val = tensor("valid")]; + tensor y_5_strides_0 = const()[name = tensor("y_5_strides_0"), val = tensor([4])]; + tensor y_5_groups_0 = const()[name = tensor("y_5_groups_0"), val = tensor(108)]; + tensor y_5_pad_0 = const()[name = tensor("y_5_pad_0"), val = tensor([0, 0])]; + tensor y_5_dilations_0 = const()[name = tensor("y_5_dilations_0"), val = tensor([1])]; + tensor y_5_has_output_shape_output_shape_0 = const()[name = tensor("y_5_has_output_shape_output_shape_0"), val = tensor([1, 108, 16388])]; + tensor m_decoder_up_sample_conv_layers_2_weight_to_fp16 = const()[name = tensor("m_decoder_up_sample_conv_layers_2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59280960)))]; + tensor m_decoder_up_sample_conv_layers_2_bias_to_fp16 = const()[name = tensor("m_decoder_up_sample_conv_layers_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59284480)))]; + tensor 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("y_5_has_output_shape_cast_fp16")]; + tensor x_229_begin_0 = const()[name = tensor("x_229_begin_0"), val = tensor([0, 0, 0])]; + tensor x_229_end_0 = const()[name = tensor("x_229_end_0"), val = tensor([1, 108, 16384])]; + tensor x_229_end_mask_0 = const()[name = tensor("x_229_end_mask_0"), val = tensor([true, true, false])]; + tensor 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("x_229_cast_fp16")]; + tensor x_231_begin_0 = const()[name = tensor("x_231_begin_0"), val = tensor([0, 0, 0])]; + tensor x_231_end_0 = const()[name = tensor("x_231_end_0"), val = tensor([1, 54, 16384])]; + tensor x_231_end_mask_0 = const()[name = tensor("x_231_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_231_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59284800)))]; + tensor 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("op_1336_cast_fp16")]; + tensor s_169_cast_fp16 = sin(x = var_1336_cast_fp16)[name = tensor("s_169_cast_fp16")]; + tensor var_1340_to_fp16 = const()[name = tensor("op_1340_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59284992)))]; + tensor var_1343_cast_fp16 = mul(x = var_1340_to_fp16, y = s_169_cast_fp16)[name = tensor("op_1343_cast_fp16")]; + tensor var_1344_cast_fp16 = mul(x = var_1343_cast_fp16, y = s_169_cast_fp16)[name = tensor("op_1344_cast_fp16")]; + tensor s_171_cast_fp16 = add(x = x_231_cast_fp16, y = var_1344_cast_fp16)[name = tensor("s_171_cast_fp16")]; + tensor input_151_begin_0 = const()[name = tensor("input_151_begin_0"), val = tensor([0, 54, 0])]; + tensor input_151_end_0 = const()[name = tensor("input_151_end_0"), val = tensor([1, 108, 16384])]; + tensor input_151_end_mask_0 = const()[name = tensor("input_151_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_151_cast_fp16")]; + tensor l_79_cast_fp16 = leaky_relu(alpha = var_25, x = input_151_cast_fp16)[name = tensor("l_79_cast_fp16")]; + tensor input_153_interleave_0 = const()[name = tensor("input_153_interleave_0"), val = tensor(false)]; + tensor input_153_cast_fp16 = concat(axis = var_30, interleave = input_153_interleave_0, values = (s_171_cast_fp16, l_79_cast_fp16))[name = tensor("input_153_cast_fp16")]; + tensor x_233_pad_0 = const()[name = tensor("x_233_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_233_mode_0 = const()[name = tensor("x_233_mode_0"), val = tensor("constant")]; + tensor const_37_to_fp16 = const()[name = tensor("const_37_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_233_cast_fp16")]; + tensor x_235_pad_type_0 = const()[name = tensor("x_235_pad_type_0"), val = tensor("valid")]; + tensor x_235_strides_0 = const()[name = tensor("x_235_strides_0"), val = tensor([1])]; + tensor x_235_pad_0 = const()[name = tensor("x_235_pad_0"), val = tensor([0, 0])]; + tensor x_235_dilations_0 = const()[name = tensor("x_235_dilations_0"), val = tensor([1])]; + tensor x_235_groups_0 = const()[name = tensor("x_235_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59285184)))]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59355264)))]; + tensor 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("x_235_cast_fp16")]; + tensor x_237_begin_0 = const()[name = tensor("x_237_begin_0"), val = tensor([0, 0, 0])]; + tensor x_237_end_0 = const()[name = tensor("x_237_end_0"), val = tensor([1, 54, 16384])]; + tensor x_237_end_mask_0 = const()[name = tensor("x_237_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_237_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59355584)))]; + tensor 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("op_1364_cast_fp16")]; + tensor s_173_cast_fp16 = sin(x = var_1364_cast_fp16)[name = tensor("s_173_cast_fp16")]; + tensor var_1368_to_fp16 = const()[name = tensor("op_1368_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59355776)))]; + tensor var_1371_cast_fp16 = mul(x = var_1368_to_fp16, y = s_173_cast_fp16)[name = tensor("op_1371_cast_fp16")]; + tensor var_1372_cast_fp16 = mul(x = var_1371_cast_fp16, y = s_173_cast_fp16)[name = tensor("op_1372_cast_fp16")]; + tensor s_175_cast_fp16 = add(x = x_237_cast_fp16, y = var_1372_cast_fp16)[name = tensor("s_175_cast_fp16")]; + tensor input_155_begin_0 = const()[name = tensor("input_155_begin_0"), val = tensor([0, 54, 0])]; + tensor input_155_end_0 = const()[name = tensor("input_155_end_0"), val = tensor([1, 108, 16384])]; + tensor input_155_end_mask_0 = const()[name = tensor("input_155_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_155_cast_fp16")]; + tensor l_81_cast_fp16 = leaky_relu(alpha = var_25, x = input_155_cast_fp16)[name = tensor("l_81_cast_fp16")]; + tensor input_157_interleave_0 = const()[name = tensor("input_157_interleave_0"), val = tensor(false)]; + tensor input_157_cast_fp16 = concat(axis = var_30, interleave = input_157_interleave_0, values = (s_175_cast_fp16, l_81_cast_fp16))[name = tensor("input_157_cast_fp16")]; + tensor x_239_pad_0 = const()[name = tensor("x_239_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_239_mode_0 = const()[name = tensor("x_239_mode_0"), val = tensor("constant")]; + tensor const_38_to_fp16 = const()[name = tensor("const_38_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_239_cast_fp16")]; + tensor h_37_pad_type_0 = const()[name = tensor("h_37_pad_type_0"), val = tensor("valid")]; + tensor h_37_strides_0 = const()[name = tensor("h_37_strides_0"), val = tensor([1])]; + tensor h_37_pad_0 = const()[name = tensor("h_37_pad_0"), val = tensor([0, 0])]; + tensor h_37_dilations_0 = const()[name = tensor("h_37_dilations_0"), val = tensor([1])]; + tensor h_37_groups_0 = const()[name = tensor("h_37_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59355968)))]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59426048)))]; + tensor 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("h_37_cast_fp16")]; + tensor x_241_cast_fp16 = add(x = x_229_cast_fp16, y = h_37_cast_fp16)[name = tensor("x_241_cast_fp16")]; + tensor x_243_begin_0 = const()[name = tensor("x_243_begin_0"), val = tensor([0, 0, 0])]; + tensor x_243_end_0 = const()[name = tensor("x_243_end_0"), val = tensor([1, 54, 16384])]; + tensor x_243_end_mask_0 = const()[name = tensor("x_243_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_243_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59426368)))]; + tensor 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("op_1397_cast_fp16")]; + tensor s_177_cast_fp16 = sin(x = var_1397_cast_fp16)[name = tensor("s_177_cast_fp16")]; + tensor var_1401_to_fp16 = const()[name = tensor("op_1401_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59426560)))]; + tensor var_1404_cast_fp16 = mul(x = var_1401_to_fp16, y = s_177_cast_fp16)[name = tensor("op_1404_cast_fp16")]; + tensor var_1405_cast_fp16 = mul(x = var_1404_cast_fp16, y = s_177_cast_fp16)[name = tensor("op_1405_cast_fp16")]; + tensor s_179_cast_fp16 = add(x = x_243_cast_fp16, y = var_1405_cast_fp16)[name = tensor("s_179_cast_fp16")]; + tensor input_159_begin_0 = const()[name = tensor("input_159_begin_0"), val = tensor([0, 54, 0])]; + tensor input_159_end_0 = const()[name = tensor("input_159_end_0"), val = tensor([1, 108, 16384])]; + tensor input_159_end_mask_0 = const()[name = tensor("input_159_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_159_cast_fp16")]; + tensor l_83_cast_fp16 = leaky_relu(alpha = var_25, x = input_159_cast_fp16)[name = tensor("l_83_cast_fp16")]; + tensor input_161_interleave_0 = const()[name = tensor("input_161_interleave_0"), val = tensor(false)]; + tensor input_161_cast_fp16 = concat(axis = var_30, interleave = input_161_interleave_0, values = (s_179_cast_fp16, l_83_cast_fp16))[name = tensor("input_161_cast_fp16")]; + tensor x_245_pad_0 = const()[name = tensor("x_245_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_245_mode_0 = const()[name = tensor("x_245_mode_0"), val = tensor("constant")]; + tensor const_39_to_fp16 = const()[name = tensor("const_39_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_245_cast_fp16")]; + tensor x_247_pad_type_0 = const()[name = tensor("x_247_pad_type_0"), val = tensor("valid")]; + tensor x_247_dilations_0 = const()[name = tensor("x_247_dilations_0"), val = tensor([3])]; + tensor x_247_strides_0 = const()[name = tensor("x_247_strides_0"), val = tensor([1])]; + tensor x_247_pad_0 = const()[name = tensor("x_247_pad_0"), val = tensor([0, 0])]; + tensor x_247_groups_0 = const()[name = tensor("x_247_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59426752)))]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59496832)))]; + tensor 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("x_247_cast_fp16")]; + tensor x_249_begin_0 = const()[name = tensor("x_249_begin_0"), val = tensor([0, 0, 0])]; + tensor x_249_end_0 = const()[name = tensor("x_249_end_0"), val = tensor([1, 54, 16384])]; + tensor x_249_end_mask_0 = const()[name = tensor("x_249_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_249_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59497152)))]; + tensor 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("op_1425_cast_fp16")]; + tensor s_181_cast_fp16 = sin(x = var_1425_cast_fp16)[name = tensor("s_181_cast_fp16")]; + tensor var_1429_to_fp16 = const()[name = tensor("op_1429_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59497344)))]; + tensor var_1432_cast_fp16 = mul(x = var_1429_to_fp16, y = s_181_cast_fp16)[name = tensor("op_1432_cast_fp16")]; + tensor var_1433_cast_fp16 = mul(x = var_1432_cast_fp16, y = s_181_cast_fp16)[name = tensor("op_1433_cast_fp16")]; + tensor s_183_cast_fp16 = add(x = x_249_cast_fp16, y = var_1433_cast_fp16)[name = tensor("s_183_cast_fp16")]; + tensor input_163_begin_0 = const()[name = tensor("input_163_begin_0"), val = tensor([0, 54, 0])]; + tensor input_163_end_0 = const()[name = tensor("input_163_end_0"), val = tensor([1, 108, 16384])]; + tensor input_163_end_mask_0 = const()[name = tensor("input_163_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_163_cast_fp16")]; + tensor l_85_cast_fp16 = leaky_relu(alpha = var_25, x = input_163_cast_fp16)[name = tensor("l_85_cast_fp16")]; + tensor input_165_interleave_0 = const()[name = tensor("input_165_interleave_0"), val = tensor(false)]; + tensor input_165_cast_fp16 = concat(axis = var_30, interleave = input_165_interleave_0, values = (s_183_cast_fp16, l_85_cast_fp16))[name = tensor("input_165_cast_fp16")]; + tensor x_251_pad_0 = const()[name = tensor("x_251_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_251_mode_0 = const()[name = tensor("x_251_mode_0"), val = tensor("constant")]; + tensor const_40_to_fp16 = const()[name = tensor("const_40_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_251_cast_fp16")]; + tensor h_39_pad_type_0 = const()[name = tensor("h_39_pad_type_0"), val = tensor("valid")]; + tensor h_39_strides_0 = const()[name = tensor("h_39_strides_0"), val = tensor([1])]; + tensor h_39_pad_0 = const()[name = tensor("h_39_pad_0"), val = tensor([0, 0])]; + tensor h_39_dilations_0 = const()[name = tensor("h_39_dilations_0"), val = tensor([1])]; + tensor h_39_groups_0 = const()[name = tensor("h_39_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59497536)))]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59567616)))]; + tensor 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("h_39_cast_fp16")]; + tensor x_253_cast_fp16 = add(x = x_241_cast_fp16, y = h_39_cast_fp16)[name = tensor("x_253_cast_fp16")]; + tensor x_255_begin_0 = const()[name = tensor("x_255_begin_0"), val = tensor([0, 0, 0])]; + tensor x_255_end_0 = const()[name = tensor("x_255_end_0"), val = tensor([1, 54, 16384])]; + tensor x_255_end_mask_0 = const()[name = tensor("x_255_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_255_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59567936)))]; + tensor 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("op_1458_cast_fp16")]; + tensor s_185_cast_fp16 = sin(x = var_1458_cast_fp16)[name = tensor("s_185_cast_fp16")]; + tensor var_1462_to_fp16 = const()[name = tensor("op_1462_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59568128)))]; + tensor var_1465_cast_fp16 = mul(x = var_1462_to_fp16, y = s_185_cast_fp16)[name = tensor("op_1465_cast_fp16")]; + tensor var_1466_cast_fp16 = mul(x = var_1465_cast_fp16, y = s_185_cast_fp16)[name = tensor("op_1466_cast_fp16")]; + tensor s_187_cast_fp16 = add(x = x_255_cast_fp16, y = var_1466_cast_fp16)[name = tensor("s_187_cast_fp16")]; + tensor input_167_begin_0 = const()[name = tensor("input_167_begin_0"), val = tensor([0, 54, 0])]; + tensor input_167_end_0 = const()[name = tensor("input_167_end_0"), val = tensor([1, 108, 16384])]; + tensor input_167_end_mask_0 = const()[name = tensor("input_167_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_167_cast_fp16")]; + tensor l_87_cast_fp16 = leaky_relu(alpha = var_25, x = input_167_cast_fp16)[name = tensor("l_87_cast_fp16")]; + tensor input_169_interleave_0 = const()[name = tensor("input_169_interleave_0"), val = tensor(false)]; + tensor input_169_cast_fp16 = concat(axis = var_30, interleave = input_169_interleave_0, values = (s_187_cast_fp16, l_87_cast_fp16))[name = tensor("input_169_cast_fp16")]; + tensor x_257_pad_0 = const()[name = tensor("x_257_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_257_mode_0 = const()[name = tensor("x_257_mode_0"), val = tensor("constant")]; + tensor const_41_to_fp16 = const()[name = tensor("const_41_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_257_cast_fp16")]; + tensor x_259_pad_type_0 = const()[name = tensor("x_259_pad_type_0"), val = tensor("valid")]; + tensor x_259_dilations_0 = const()[name = tensor("x_259_dilations_0"), val = tensor([5])]; + tensor x_259_strides_0 = const()[name = tensor("x_259_strides_0"), val = tensor([1])]; + tensor x_259_pad_0 = const()[name = tensor("x_259_pad_0"), val = tensor([0, 0])]; + tensor x_259_groups_0 = const()[name = tensor("x_259_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59568320)))]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59638400)))]; + tensor 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("x_259_cast_fp16")]; + tensor x_261_begin_0 = const()[name = tensor("x_261_begin_0"), val = tensor([0, 0, 0])]; + tensor x_261_end_0 = const()[name = tensor("x_261_end_0"), val = tensor([1, 54, 16384])]; + tensor x_261_end_mask_0 = const()[name = tensor("x_261_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_261_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59638720)))]; + tensor 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("op_1486_cast_fp16")]; + tensor s_189_cast_fp16 = sin(x = var_1486_cast_fp16)[name = tensor("s_189_cast_fp16")]; + tensor var_1490_to_fp16 = const()[name = tensor("op_1490_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59638912)))]; + tensor var_1493_cast_fp16 = mul(x = var_1490_to_fp16, y = s_189_cast_fp16)[name = tensor("op_1493_cast_fp16")]; + tensor var_1494_cast_fp16 = mul(x = var_1493_cast_fp16, y = s_189_cast_fp16)[name = tensor("op_1494_cast_fp16")]; + tensor s_191_cast_fp16 = add(x = x_261_cast_fp16, y = var_1494_cast_fp16)[name = tensor("s_191_cast_fp16")]; + tensor input_171_begin_0 = const()[name = tensor("input_171_begin_0"), val = tensor([0, 54, 0])]; + tensor input_171_end_0 = const()[name = tensor("input_171_end_0"), val = tensor([1, 108, 16384])]; + tensor input_171_end_mask_0 = const()[name = tensor("input_171_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_171_cast_fp16")]; + tensor l_89_cast_fp16 = leaky_relu(alpha = var_25, x = input_171_cast_fp16)[name = tensor("l_89_cast_fp16")]; + tensor input_173_interleave_0 = const()[name = tensor("input_173_interleave_0"), val = tensor(false)]; + tensor input_173_cast_fp16 = concat(axis = var_30, interleave = input_173_interleave_0, values = (s_191_cast_fp16, l_89_cast_fp16))[name = tensor("input_173_cast_fp16")]; + tensor x_263_pad_0 = const()[name = tensor("x_263_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_263_mode_0 = const()[name = tensor("x_263_mode_0"), val = tensor("constant")]; + tensor const_42_to_fp16 = const()[name = tensor("const_42_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_263_cast_fp16")]; + tensor h_41_pad_type_0 = const()[name = tensor("h_41_pad_type_0"), val = tensor("valid")]; + tensor h_41_strides_0 = const()[name = tensor("h_41_strides_0"), val = tensor([1])]; + tensor h_41_pad_0 = const()[name = tensor("h_41_pad_0"), val = tensor([0, 0])]; + tensor h_41_dilations_0 = const()[name = tensor("h_41_dilations_0"), val = tensor([1])]; + tensor h_41_groups_0 = const()[name = tensor("h_41_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59639104)))]; + tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59709184)))]; + tensor 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("h_41_cast_fp16")]; + tensor s_241_cast_fp16 = add(x = x_253_cast_fp16, y = h_41_cast_fp16)[name = tensor("s_241_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59709504)))]; + tensor 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("op_1525_cast_fp16")]; + tensor s_193_cast_fp16 = sin(x = var_1525_cast_fp16)[name = tensor("s_193_cast_fp16")]; + tensor var_1529_to_fp16 = const()[name = tensor("op_1529_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59709696)))]; + tensor var_1532_cast_fp16 = mul(x = var_1529_to_fp16, y = s_193_cast_fp16)[name = tensor("op_1532_cast_fp16")]; + tensor var_1533_cast_fp16 = mul(x = var_1532_cast_fp16, y = s_193_cast_fp16)[name = tensor("op_1533_cast_fp16")]; + tensor s_195_cast_fp16 = add(x = x_231_cast_fp16, y = var_1533_cast_fp16)[name = tensor("s_195_cast_fp16")]; + tensor input_177_interleave_0 = const()[name = tensor("input_177_interleave_0"), val = tensor(false)]; + tensor input_177_cast_fp16 = concat(axis = var_30, interleave = input_177_interleave_0, values = (s_195_cast_fp16, l_79_cast_fp16))[name = tensor("input_177_cast_fp16")]; + tensor x_267_pad_0 = const()[name = tensor("x_267_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_267_mode_0 = const()[name = tensor("x_267_mode_0"), val = tensor("constant")]; + tensor const_43_to_fp16 = const()[name = tensor("const_43_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_267_cast_fp16")]; + tensor x_269_pad_type_0 = const()[name = tensor("x_269_pad_type_0"), val = tensor("valid")]; + tensor x_269_strides_0 = const()[name = tensor("x_269_strides_0"), val = tensor([1])]; + tensor x_269_pad_0 = const()[name = tensor("x_269_pad_0"), val = tensor([0, 0])]; + tensor x_269_dilations_0 = const()[name = tensor("x_269_dilations_0"), val = tensor([1])]; + tensor x_269_groups_0 = const()[name = tensor("x_269_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59709888)))]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59873280)))]; + tensor 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("x_269_cast_fp16")]; + tensor x_271_begin_0 = const()[name = tensor("x_271_begin_0"), val = tensor([0, 0, 0])]; + tensor x_271_end_0 = const()[name = tensor("x_271_end_0"), val = tensor([1, 54, 16384])]; + tensor x_271_end_mask_0 = const()[name = tensor("x_271_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_271_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59873600)))]; + tensor 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("op_1553_cast_fp16")]; + tensor s_197_cast_fp16 = sin(x = var_1553_cast_fp16)[name = tensor("s_197_cast_fp16")]; + tensor var_1557_to_fp16 = const()[name = tensor("op_1557_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59873792)))]; + tensor var_1560_cast_fp16 = mul(x = var_1557_to_fp16, y = s_197_cast_fp16)[name = tensor("op_1560_cast_fp16")]; + tensor var_1561_cast_fp16 = mul(x = var_1560_cast_fp16, y = s_197_cast_fp16)[name = tensor("op_1561_cast_fp16")]; + tensor s_199_cast_fp16 = add(x = x_271_cast_fp16, y = var_1561_cast_fp16)[name = tensor("s_199_cast_fp16")]; + tensor input_179_begin_0 = const()[name = tensor("input_179_begin_0"), val = tensor([0, 54, 0])]; + tensor input_179_end_0 = const()[name = tensor("input_179_end_0"), val = tensor([1, 108, 16384])]; + tensor input_179_end_mask_0 = const()[name = tensor("input_179_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_179_cast_fp16")]; + tensor l_93_cast_fp16 = leaky_relu(alpha = var_25, x = input_179_cast_fp16)[name = tensor("l_93_cast_fp16")]; + tensor input_181_interleave_0 = const()[name = tensor("input_181_interleave_0"), val = tensor(false)]; + tensor input_181_cast_fp16 = concat(axis = var_30, interleave = input_181_interleave_0, values = (s_199_cast_fp16, l_93_cast_fp16))[name = tensor("input_181_cast_fp16")]; + tensor x_273_pad_0 = const()[name = tensor("x_273_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_273_mode_0 = const()[name = tensor("x_273_mode_0"), val = tensor("constant")]; + tensor const_44_to_fp16 = const()[name = tensor("const_44_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_273_cast_fp16")]; + tensor h_43_pad_type_0 = const()[name = tensor("h_43_pad_type_0"), val = tensor("valid")]; + tensor h_43_strides_0 = const()[name = tensor("h_43_strides_0"), val = tensor([1])]; + tensor h_43_pad_0 = const()[name = tensor("h_43_pad_0"), val = tensor([0, 0])]; + tensor h_43_dilations_0 = const()[name = tensor("h_43_dilations_0"), val = tensor([1])]; + tensor h_43_groups_0 = const()[name = tensor("h_43_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59873984)))]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60037376)))]; + tensor 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("h_43_cast_fp16")]; + tensor x_275_cast_fp16 = add(x = x_229_cast_fp16, y = h_43_cast_fp16)[name = tensor("x_275_cast_fp16")]; + tensor x_277_begin_0 = const()[name = tensor("x_277_begin_0"), val = tensor([0, 0, 0])]; + tensor x_277_end_0 = const()[name = tensor("x_277_end_0"), val = tensor([1, 54, 16384])]; + tensor x_277_end_mask_0 = const()[name = tensor("x_277_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_277_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60037696)))]; + tensor 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("op_1586_cast_fp16")]; + tensor s_201_cast_fp16 = sin(x = var_1586_cast_fp16)[name = tensor("s_201_cast_fp16")]; + tensor var_1590_to_fp16 = const()[name = tensor("op_1590_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60037888)))]; + tensor var_1593_cast_fp16 = mul(x = var_1590_to_fp16, y = s_201_cast_fp16)[name = tensor("op_1593_cast_fp16")]; + tensor var_1594_cast_fp16 = mul(x = var_1593_cast_fp16, y = s_201_cast_fp16)[name = tensor("op_1594_cast_fp16")]; + tensor s_203_cast_fp16 = add(x = x_277_cast_fp16, y = var_1594_cast_fp16)[name = tensor("s_203_cast_fp16")]; + tensor input_183_begin_0 = const()[name = tensor("input_183_begin_0"), val = tensor([0, 54, 0])]; + tensor input_183_end_0 = const()[name = tensor("input_183_end_0"), val = tensor([1, 108, 16384])]; + tensor input_183_end_mask_0 = const()[name = tensor("input_183_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_183_cast_fp16")]; + tensor l_95_cast_fp16 = leaky_relu(alpha = var_25, x = input_183_cast_fp16)[name = tensor("l_95_cast_fp16")]; + tensor input_185_interleave_0 = const()[name = tensor("input_185_interleave_0"), val = tensor(false)]; + tensor input_185_cast_fp16 = concat(axis = var_30, interleave = input_185_interleave_0, values = (s_203_cast_fp16, l_95_cast_fp16))[name = tensor("input_185_cast_fp16")]; + tensor x_279_pad_0 = const()[name = tensor("x_279_pad_0"), val = tensor([0, 0, 0, 0, 18, 0])]; + tensor x_279_mode_0 = const()[name = tensor("x_279_mode_0"), val = tensor("constant")]; + tensor const_45_to_fp16 = const()[name = tensor("const_45_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_279_cast_fp16")]; + tensor x_281_pad_type_0 = const()[name = tensor("x_281_pad_type_0"), val = tensor("valid")]; + tensor x_281_dilations_0 = const()[name = tensor("x_281_dilations_0"), val = tensor([3])]; + tensor x_281_strides_0 = const()[name = tensor("x_281_strides_0"), val = tensor([1])]; + tensor x_281_pad_0 = const()[name = tensor("x_281_pad_0"), val = tensor([0, 0])]; + tensor x_281_groups_0 = const()[name = tensor("x_281_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60038080)))]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60201472)))]; + tensor 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("x_281_cast_fp16")]; + tensor x_283_begin_0 = const()[name = tensor("x_283_begin_0"), val = tensor([0, 0, 0])]; + tensor x_283_end_0 = const()[name = tensor("x_283_end_0"), val = tensor([1, 54, 16384])]; + tensor x_283_end_mask_0 = const()[name = tensor("x_283_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_283_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60201792)))]; + tensor 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("op_1614_cast_fp16")]; + tensor s_205_cast_fp16 = sin(x = var_1614_cast_fp16)[name = tensor("s_205_cast_fp16")]; + tensor var_1618_to_fp16 = const()[name = tensor("op_1618_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60201984)))]; + tensor var_1621_cast_fp16 = mul(x = var_1618_to_fp16, y = s_205_cast_fp16)[name = tensor("op_1621_cast_fp16")]; + tensor var_1622_cast_fp16 = mul(x = var_1621_cast_fp16, y = s_205_cast_fp16)[name = tensor("op_1622_cast_fp16")]; + tensor s_207_cast_fp16 = add(x = x_283_cast_fp16, y = var_1622_cast_fp16)[name = tensor("s_207_cast_fp16")]; + tensor input_187_begin_0 = const()[name = tensor("input_187_begin_0"), val = tensor([0, 54, 0])]; + tensor input_187_end_0 = const()[name = tensor("input_187_end_0"), val = tensor([1, 108, 16384])]; + tensor input_187_end_mask_0 = const()[name = tensor("input_187_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_187_cast_fp16")]; + tensor l_97_cast_fp16 = leaky_relu(alpha = var_25, x = input_187_cast_fp16)[name = tensor("l_97_cast_fp16")]; + tensor input_189_interleave_0 = const()[name = tensor("input_189_interleave_0"), val = tensor(false)]; + tensor input_189_cast_fp16 = concat(axis = var_30, interleave = input_189_interleave_0, values = (s_207_cast_fp16, l_97_cast_fp16))[name = tensor("input_189_cast_fp16")]; + tensor x_285_pad_0 = const()[name = tensor("x_285_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_285_mode_0 = const()[name = tensor("x_285_mode_0"), val = tensor("constant")]; + tensor const_46_to_fp16 = const()[name = tensor("const_46_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_285_cast_fp16")]; + tensor h_45_pad_type_0 = const()[name = tensor("h_45_pad_type_0"), val = tensor("valid")]; + tensor h_45_strides_0 = const()[name = tensor("h_45_strides_0"), val = tensor([1])]; + tensor h_45_pad_0 = const()[name = tensor("h_45_pad_0"), val = tensor([0, 0])]; + tensor h_45_dilations_0 = const()[name = tensor("h_45_dilations_0"), val = tensor([1])]; + tensor h_45_groups_0 = const()[name = tensor("h_45_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60202176)))]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60365568)))]; + tensor 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("h_45_cast_fp16")]; + tensor x_287_cast_fp16 = add(x = x_275_cast_fp16, y = h_45_cast_fp16)[name = tensor("x_287_cast_fp16")]; + tensor x_289_begin_0 = const()[name = tensor("x_289_begin_0"), val = tensor([0, 0, 0])]; + tensor x_289_end_0 = const()[name = tensor("x_289_end_0"), val = tensor([1, 54, 16384])]; + tensor x_289_end_mask_0 = const()[name = tensor("x_289_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_289_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60365888)))]; + tensor 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("op_1647_cast_fp16")]; + tensor s_209_cast_fp16 = sin(x = var_1647_cast_fp16)[name = tensor("s_209_cast_fp16")]; + tensor var_1651_to_fp16 = const()[name = tensor("op_1651_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60366080)))]; + tensor var_1654_cast_fp16 = mul(x = var_1651_to_fp16, y = s_209_cast_fp16)[name = tensor("op_1654_cast_fp16")]; + tensor var_1655_cast_fp16 = mul(x = var_1654_cast_fp16, y = s_209_cast_fp16)[name = tensor("op_1655_cast_fp16")]; + tensor s_211_cast_fp16 = add(x = x_289_cast_fp16, y = var_1655_cast_fp16)[name = tensor("s_211_cast_fp16")]; + tensor input_191_begin_0 = const()[name = tensor("input_191_begin_0"), val = tensor([0, 54, 0])]; + tensor input_191_end_0 = const()[name = tensor("input_191_end_0"), val = tensor([1, 108, 16384])]; + tensor input_191_end_mask_0 = const()[name = tensor("input_191_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_191_cast_fp16")]; + tensor l_99_cast_fp16 = leaky_relu(alpha = var_25, x = input_191_cast_fp16)[name = tensor("l_99_cast_fp16")]; + tensor input_193_interleave_0 = const()[name = tensor("input_193_interleave_0"), val = tensor(false)]; + tensor input_193_cast_fp16 = concat(axis = var_30, interleave = input_193_interleave_0, values = (s_211_cast_fp16, l_99_cast_fp16))[name = tensor("input_193_cast_fp16")]; + tensor x_291_pad_0 = const()[name = tensor("x_291_pad_0"), val = tensor([0, 0, 0, 0, 30, 0])]; + tensor x_291_mode_0 = const()[name = tensor("x_291_mode_0"), val = tensor("constant")]; + tensor const_47_to_fp16 = const()[name = tensor("const_47_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_291_cast_fp16")]; + tensor x_293_pad_type_0 = const()[name = tensor("x_293_pad_type_0"), val = tensor("valid")]; + tensor x_293_dilations_0 = const()[name = tensor("x_293_dilations_0"), val = tensor([5])]; + tensor x_293_strides_0 = const()[name = tensor("x_293_strides_0"), val = tensor([1])]; + tensor x_293_pad_0 = const()[name = tensor("x_293_pad_0"), val = tensor([0, 0])]; + tensor x_293_groups_0 = const()[name = tensor("x_293_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60366272)))]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60529664)))]; + tensor 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("x_293_cast_fp16")]; + tensor x_295_begin_0 = const()[name = tensor("x_295_begin_0"), val = tensor([0, 0, 0])]; + tensor x_295_end_0 = const()[name = tensor("x_295_end_0"), val = tensor([1, 54, 16384])]; + tensor x_295_end_mask_0 = const()[name = tensor("x_295_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_295_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60529984)))]; + tensor 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("op_1675_cast_fp16")]; + tensor s_213_cast_fp16 = sin(x = var_1675_cast_fp16)[name = tensor("s_213_cast_fp16")]; + tensor var_1679_to_fp16 = const()[name = tensor("op_1679_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60530176)))]; + tensor var_1682_cast_fp16 = mul(x = var_1679_to_fp16, y = s_213_cast_fp16)[name = tensor("op_1682_cast_fp16")]; + tensor var_1683_cast_fp16 = mul(x = var_1682_cast_fp16, y = s_213_cast_fp16)[name = tensor("op_1683_cast_fp16")]; + tensor s_215_cast_fp16 = add(x = x_295_cast_fp16, y = var_1683_cast_fp16)[name = tensor("s_215_cast_fp16")]; + tensor input_195_begin_0 = const()[name = tensor("input_195_begin_0"), val = tensor([0, 54, 0])]; + tensor input_195_end_0 = const()[name = tensor("input_195_end_0"), val = tensor([1, 108, 16384])]; + tensor input_195_end_mask_0 = const()[name = tensor("input_195_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_195_cast_fp16")]; + tensor l_101_cast_fp16 = leaky_relu(alpha = var_25, x = input_195_cast_fp16)[name = tensor("l_101_cast_fp16")]; + tensor input_197_interleave_0 = const()[name = tensor("input_197_interleave_0"), val = tensor(false)]; + tensor input_197_cast_fp16 = concat(axis = var_30, interleave = input_197_interleave_0, values = (s_215_cast_fp16, l_101_cast_fp16))[name = tensor("input_197_cast_fp16")]; + tensor x_297_pad_0 = const()[name = tensor("x_297_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_297_mode_0 = const()[name = tensor("x_297_mode_0"), val = tensor("constant")]; + tensor const_48_to_fp16 = const()[name = tensor("const_48_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_297_cast_fp16")]; + tensor h_47_pad_type_0 = const()[name = tensor("h_47_pad_type_0"), val = tensor("valid")]; + tensor h_47_strides_0 = const()[name = tensor("h_47_strides_0"), val = tensor([1])]; + tensor h_47_pad_0 = const()[name = tensor("h_47_pad_0"), val = tensor([0, 0])]; + tensor h_47_dilations_0 = const()[name = tensor("h_47_dilations_0"), val = tensor([1])]; + tensor h_47_groups_0 = const()[name = tensor("h_47_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60530368)))]; + tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60693760)))]; + tensor 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("h_47_cast_fp16")]; + tensor o_9_cast_fp16 = add(x = x_287_cast_fp16, y = h_47_cast_fp16)[name = tensor("o_9_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60694080)))]; + tensor 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("op_1714_cast_fp16")]; + tensor s_217_cast_fp16 = sin(x = var_1714_cast_fp16)[name = tensor("s_217_cast_fp16")]; + tensor var_1718_to_fp16 = const()[name = tensor("op_1718_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60694272)))]; + tensor var_1721_cast_fp16 = mul(x = var_1718_to_fp16, y = s_217_cast_fp16)[name = tensor("op_1721_cast_fp16")]; + tensor var_1722_cast_fp16 = mul(x = var_1721_cast_fp16, y = s_217_cast_fp16)[name = tensor("op_1722_cast_fp16")]; + tensor s_219_cast_fp16 = add(x = x_231_cast_fp16, y = var_1722_cast_fp16)[name = tensor("s_219_cast_fp16")]; + tensor input_201_interleave_0 = const()[name = tensor("input_201_interleave_0"), val = tensor(false)]; + tensor input_201_cast_fp16 = concat(axis = var_30, interleave = input_201_interleave_0, values = (s_219_cast_fp16, l_79_cast_fp16))[name = tensor("input_201_cast_fp16")]; + tensor x_301_pad_0 = const()[name = tensor("x_301_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_301_mode_0 = const()[name = tensor("x_301_mode_0"), val = tensor("constant")]; + tensor const_49_to_fp16 = const()[name = tensor("const_49_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_301_cast_fp16")]; + tensor x_303_pad_type_0 = const()[name = tensor("x_303_pad_type_0"), val = tensor("valid")]; + tensor x_303_strides_0 = const()[name = tensor("x_303_strides_0"), val = tensor([1])]; + tensor x_303_pad_0 = const()[name = tensor("x_303_pad_0"), val = tensor([0, 0])]; + tensor x_303_dilations_0 = const()[name = tensor("x_303_dilations_0"), val = tensor([1])]; + tensor x_303_groups_0 = const()[name = tensor("x_303_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60694464)))]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60951168)))]; + tensor 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("x_303_cast_fp16")]; + tensor x_305_begin_0 = const()[name = tensor("x_305_begin_0"), val = tensor([0, 0, 0])]; + tensor x_305_end_0 = const()[name = tensor("x_305_end_0"), val = tensor([1, 54, 16384])]; + tensor x_305_end_mask_0 = const()[name = tensor("x_305_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_305_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60951488)))]; + tensor 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("op_1742_cast_fp16")]; + tensor s_221_cast_fp16 = sin(x = var_1742_cast_fp16)[name = tensor("s_221_cast_fp16")]; + tensor var_1746_to_fp16 = const()[name = tensor("op_1746_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60951680)))]; + tensor var_1749_cast_fp16 = mul(x = var_1746_to_fp16, y = s_221_cast_fp16)[name = tensor("op_1749_cast_fp16")]; + tensor var_1750_cast_fp16 = mul(x = var_1749_cast_fp16, y = s_221_cast_fp16)[name = tensor("op_1750_cast_fp16")]; + tensor s_223_cast_fp16 = add(x = x_305_cast_fp16, y = var_1750_cast_fp16)[name = tensor("s_223_cast_fp16")]; + tensor input_203_begin_0 = const()[name = tensor("input_203_begin_0"), val = tensor([0, 54, 0])]; + tensor input_203_end_0 = const()[name = tensor("input_203_end_0"), val = tensor([1, 108, 16384])]; + tensor input_203_end_mask_0 = const()[name = tensor("input_203_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_203_cast_fp16")]; + tensor l_105_cast_fp16 = leaky_relu(alpha = var_25, x = input_203_cast_fp16)[name = tensor("l_105_cast_fp16")]; + tensor input_205_interleave_0 = const()[name = tensor("input_205_interleave_0"), val = tensor(false)]; + tensor input_205_cast_fp16 = concat(axis = var_30, interleave = input_205_interleave_0, values = (s_223_cast_fp16, l_105_cast_fp16))[name = tensor("input_205_cast_fp16")]; + tensor x_307_pad_0 = const()[name = tensor("x_307_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_307_mode_0 = const()[name = tensor("x_307_mode_0"), val = tensor("constant")]; + tensor const_50_to_fp16 = const()[name = tensor("const_50_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_307_cast_fp16")]; + tensor h_49_pad_type_0 = const()[name = tensor("h_49_pad_type_0"), val = tensor("valid")]; + tensor h_49_strides_0 = const()[name = tensor("h_49_strides_0"), val = tensor([1])]; + tensor h_49_pad_0 = const()[name = tensor("h_49_pad_0"), val = tensor([0, 0])]; + tensor h_49_dilations_0 = const()[name = tensor("h_49_dilations_0"), val = tensor([1])]; + tensor h_49_groups_0 = const()[name = tensor("h_49_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(60951872)))]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61208576)))]; + tensor 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("h_49_cast_fp16")]; + tensor x_309_cast_fp16 = add(x = x_229_cast_fp16, y = h_49_cast_fp16)[name = tensor("x_309_cast_fp16")]; + tensor x_311_begin_0 = const()[name = tensor("x_311_begin_0"), val = tensor([0, 0, 0])]; + tensor x_311_end_0 = const()[name = tensor("x_311_end_0"), val = tensor([1, 54, 16384])]; + tensor x_311_end_mask_0 = const()[name = tensor("x_311_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_311_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61208896)))]; + tensor 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("op_1775_cast_fp16")]; + tensor s_225_cast_fp16 = sin(x = var_1775_cast_fp16)[name = tensor("s_225_cast_fp16")]; + tensor var_1779_to_fp16 = const()[name = tensor("op_1779_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61209088)))]; + tensor var_1782_cast_fp16 = mul(x = var_1779_to_fp16, y = s_225_cast_fp16)[name = tensor("op_1782_cast_fp16")]; + tensor var_1783_cast_fp16 = mul(x = var_1782_cast_fp16, y = s_225_cast_fp16)[name = tensor("op_1783_cast_fp16")]; + tensor s_227_cast_fp16 = add(x = x_311_cast_fp16, y = var_1783_cast_fp16)[name = tensor("s_227_cast_fp16")]; + tensor input_207_begin_0 = const()[name = tensor("input_207_begin_0"), val = tensor([0, 54, 0])]; + tensor input_207_end_0 = const()[name = tensor("input_207_end_0"), val = tensor([1, 108, 16384])]; + tensor input_207_end_mask_0 = const()[name = tensor("input_207_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_207_cast_fp16")]; + tensor l_107_cast_fp16 = leaky_relu(alpha = var_25, x = input_207_cast_fp16)[name = tensor("l_107_cast_fp16")]; + tensor input_209_interleave_0 = const()[name = tensor("input_209_interleave_0"), val = tensor(false)]; + tensor input_209_cast_fp16 = concat(axis = var_30, interleave = input_209_interleave_0, values = (s_227_cast_fp16, l_107_cast_fp16))[name = tensor("input_209_cast_fp16")]; + tensor x_313_pad_0 = const()[name = tensor("x_313_pad_0"), val = tensor([0, 0, 0, 0, 30, 0])]; + tensor x_313_mode_0 = const()[name = tensor("x_313_mode_0"), val = tensor("constant")]; + tensor const_51_to_fp16 = const()[name = tensor("const_51_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_313_cast_fp16")]; + tensor x_315_pad_type_0 = const()[name = tensor("x_315_pad_type_0"), val = tensor("valid")]; + tensor x_315_dilations_0 = const()[name = tensor("x_315_dilations_0"), val = tensor([3])]; + tensor x_315_strides_0 = const()[name = tensor("x_315_strides_0"), val = tensor([1])]; + tensor x_315_pad_0 = const()[name = tensor("x_315_pad_0"), val = tensor([0, 0])]; + tensor x_315_groups_0 = const()[name = tensor("x_315_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61209280)))]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61465984)))]; + tensor 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("x_315_cast_fp16")]; + tensor x_317_begin_0 = const()[name = tensor("x_317_begin_0"), val = tensor([0, 0, 0])]; + tensor x_317_end_0 = const()[name = tensor("x_317_end_0"), val = tensor([1, 54, 16384])]; + tensor x_317_end_mask_0 = const()[name = tensor("x_317_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_317_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61466304)))]; + tensor 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("op_1803_cast_fp16")]; + tensor s_229_cast_fp16 = sin(x = var_1803_cast_fp16)[name = tensor("s_229_cast_fp16")]; + tensor var_1807_to_fp16 = const()[name = tensor("op_1807_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61466496)))]; + tensor var_1810_cast_fp16 = mul(x = var_1807_to_fp16, y = s_229_cast_fp16)[name = tensor("op_1810_cast_fp16")]; + tensor var_1811_cast_fp16 = mul(x = var_1810_cast_fp16, y = s_229_cast_fp16)[name = tensor("op_1811_cast_fp16")]; + tensor s_231_cast_fp16 = add(x = x_317_cast_fp16, y = var_1811_cast_fp16)[name = tensor("s_231_cast_fp16")]; + tensor input_211_begin_0 = const()[name = tensor("input_211_begin_0"), val = tensor([0, 54, 0])]; + tensor input_211_end_0 = const()[name = tensor("input_211_end_0"), val = tensor([1, 108, 16384])]; + tensor input_211_end_mask_0 = const()[name = tensor("input_211_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_211_cast_fp16")]; + tensor l_109_cast_fp16 = leaky_relu(alpha = var_25, x = input_211_cast_fp16)[name = tensor("l_109_cast_fp16")]; + tensor input_213_interleave_0 = const()[name = tensor("input_213_interleave_0"), val = tensor(false)]; + tensor input_213_cast_fp16 = concat(axis = var_30, interleave = input_213_interleave_0, values = (s_231_cast_fp16, l_109_cast_fp16))[name = tensor("input_213_cast_fp16")]; + tensor x_319_pad_0 = const()[name = tensor("x_319_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_319_mode_0 = const()[name = tensor("x_319_mode_0"), val = tensor("constant")]; + tensor const_52_to_fp16 = const()[name = tensor("const_52_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_319_cast_fp16")]; + tensor h_51_pad_type_0 = const()[name = tensor("h_51_pad_type_0"), val = tensor("valid")]; + tensor h_51_strides_0 = const()[name = tensor("h_51_strides_0"), val = tensor([1])]; + tensor h_51_pad_0 = const()[name = tensor("h_51_pad_0"), val = tensor([0, 0])]; + tensor h_51_dilations_0 = const()[name = tensor("h_51_dilations_0"), val = tensor([1])]; + tensor h_51_groups_0 = const()[name = tensor("h_51_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61466688)))]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61723392)))]; + tensor 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("h_51_cast_fp16")]; + tensor x_321_cast_fp16 = add(x = x_309_cast_fp16, y = h_51_cast_fp16)[name = tensor("x_321_cast_fp16")]; + tensor x_323_begin_0 = const()[name = tensor("x_323_begin_0"), val = tensor([0, 0, 0])]; + tensor x_323_end_0 = const()[name = tensor("x_323_end_0"), val = tensor([1, 54, 16384])]; + tensor x_323_end_mask_0 = const()[name = tensor("x_323_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_323_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61723712)))]; + tensor 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("op_1836_cast_fp16")]; + tensor s_233_cast_fp16 = sin(x = var_1836_cast_fp16)[name = tensor("s_233_cast_fp16")]; + tensor var_1840_to_fp16 = const()[name = tensor("op_1840_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61723904)))]; + tensor var_1843_cast_fp16 = mul(x = var_1840_to_fp16, y = s_233_cast_fp16)[name = tensor("op_1843_cast_fp16")]; + tensor var_1844_cast_fp16 = mul(x = var_1843_cast_fp16, y = s_233_cast_fp16)[name = tensor("op_1844_cast_fp16")]; + tensor s_235_cast_fp16 = add(x = x_323_cast_fp16, y = var_1844_cast_fp16)[name = tensor("s_235_cast_fp16")]; + tensor input_215_begin_0 = const()[name = tensor("input_215_begin_0"), val = tensor([0, 54, 0])]; + tensor input_215_end_0 = const()[name = tensor("input_215_end_0"), val = tensor([1, 108, 16384])]; + tensor input_215_end_mask_0 = const()[name = tensor("input_215_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_215_cast_fp16")]; + tensor l_111_cast_fp16 = leaky_relu(alpha = var_25, x = input_215_cast_fp16)[name = tensor("l_111_cast_fp16")]; + tensor input_217_interleave_0 = const()[name = tensor("input_217_interleave_0"), val = tensor(false)]; + tensor input_217_cast_fp16 = concat(axis = var_30, interleave = input_217_interleave_0, values = (s_235_cast_fp16, l_111_cast_fp16))[name = tensor("input_217_cast_fp16")]; + tensor x_325_pad_0 = const()[name = tensor("x_325_pad_0"), val = tensor([0, 0, 0, 0, 50, 0])]; + tensor x_325_mode_0 = const()[name = tensor("x_325_mode_0"), val = tensor("constant")]; + tensor const_53_to_fp16 = const()[name = tensor("const_53_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_325_cast_fp16")]; + tensor x_327_pad_type_0 = const()[name = tensor("x_327_pad_type_0"), val = tensor("valid")]; + tensor x_327_dilations_0 = const()[name = tensor("x_327_dilations_0"), val = tensor([5])]; + tensor x_327_strides_0 = const()[name = tensor("x_327_strides_0"), val = tensor([1])]; + tensor x_327_pad_0 = const()[name = tensor("x_327_pad_0"), val = tensor([0, 0])]; + tensor x_327_groups_0 = const()[name = tensor("x_327_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61724096)))]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61980800)))]; + tensor 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("x_327_cast_fp16")]; + tensor x_329_begin_0 = const()[name = tensor("x_329_begin_0"), val = tensor([0, 0, 0])]; + tensor x_329_end_0 = const()[name = tensor("x_329_end_0"), val = tensor([1, 54, 16384])]; + tensor x_329_end_mask_0 = const()[name = tensor("x_329_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_329_cast_fp16")]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61981120)))]; + tensor 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("op_1864_cast_fp16")]; + tensor s_237_cast_fp16 = sin(x = var_1864_cast_fp16)[name = tensor("s_237_cast_fp16")]; + tensor var_1868_to_fp16 = const()[name = tensor("op_1868_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61981312)))]; + tensor var_1871_cast_fp16 = mul(x = var_1868_to_fp16, y = s_237_cast_fp16)[name = tensor("op_1871_cast_fp16")]; + tensor var_1872_cast_fp16 = mul(x = var_1871_cast_fp16, y = s_237_cast_fp16)[name = tensor("op_1872_cast_fp16")]; + tensor s_239_cast_fp16 = add(x = x_329_cast_fp16, y = var_1872_cast_fp16)[name = tensor("s_239_cast_fp16")]; + tensor input_219_begin_0 = const()[name = tensor("input_219_begin_0"), val = tensor([0, 54, 0])]; + tensor input_219_end_0 = const()[name = tensor("input_219_end_0"), val = tensor([1, 108, 16384])]; + tensor input_219_end_mask_0 = const()[name = tensor("input_219_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_219_cast_fp16")]; + tensor l_113_cast_fp16 = leaky_relu(alpha = var_25, x = input_219_cast_fp16)[name = tensor("l_113_cast_fp16")]; + tensor input_221_interleave_0 = const()[name = tensor("input_221_interleave_0"), val = tensor(false)]; + tensor input_221_cast_fp16 = concat(axis = var_30, interleave = input_221_interleave_0, values = (s_239_cast_fp16, l_113_cast_fp16))[name = tensor("input_221_cast_fp16")]; + tensor x_331_pad_0 = const()[name = tensor("x_331_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_331_mode_0 = const()[name = tensor("x_331_mode_0"), val = tensor("constant")]; + tensor const_54_to_fp16 = const()[name = tensor("const_54_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_331_cast_fp16")]; + tensor h_53_pad_type_0 = const()[name = tensor("h_53_pad_type_0"), val = tensor("valid")]; + tensor h_53_strides_0 = const()[name = tensor("h_53_strides_0"), val = tensor([1])]; + tensor h_53_pad_0 = const()[name = tensor("h_53_pad_0"), val = tensor([0, 0])]; + tensor h_53_dilations_0 = const()[name = tensor("h_53_dilations_0"), val = tensor([1])]; + tensor h_53_groups_0 = const()[name = tensor("h_53_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61981504)))]; + tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62238208)))]; + tensor 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("h_53_cast_fp16")]; + tensor o_11_cast_fp16 = add(x = x_321_cast_fp16, y = h_53_cast_fp16)[name = tensor("o_11_cast_fp16")]; + tensor s_243_cast_fp16 = add(x = s_241_cast_fp16, y = o_9_cast_fp16)[name = tensor("s_243_cast_fp16")]; + tensor s_245_cast_fp16 = add(x = s_243_cast_fp16, y = o_11_cast_fp16)[name = tensor("s_245_cast_fp16")]; + tensor _inversed_x_333_y_0_to_fp16 = const()[name = tensor("_inversed_x_333_y_0_to_fp16"), val = tensor(0x1.554p-2)]; + tensor _inversed_x_333_cast_fp16 = mul(x = s_245_cast_fp16, y = _inversed_x_333_y_0_to_fp16)[name = tensor("_inversed_x_333_cast_fp16")]; + tensor x_335_begin_0 = const()[name = tensor("x_335_begin_0"), val = tensor([0, 0, 0])]; + tensor x_335_end_0 = const()[name = tensor("x_335_end_0"), val = tensor([1, 54, 16384])]; + tensor x_335_end_mask_0 = const()[name = tensor("x_335_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_335_cast_fp16")]; + tensor m_decoder_activations_3_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_activations_3_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62238528)))]; + tensor var_1897_cast_fp16 = mul(x = m_decoder_activations_3_snake_act_alpha_to_fp16, y = x_335_cast_fp16)[name = tensor("op_1897_cast_fp16")]; + tensor s_247_cast_fp16 = sin(x = var_1897_cast_fp16)[name = tensor("s_247_cast_fp16")]; + tensor var_1901_to_fp16 = const()[name = tensor("op_1901_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62238720)))]; + tensor var_1904_cast_fp16 = mul(x = var_1901_to_fp16, y = s_247_cast_fp16)[name = tensor("op_1904_cast_fp16")]; + tensor var_1905_cast_fp16 = mul(x = var_1904_cast_fp16, y = s_247_cast_fp16)[name = tensor("op_1905_cast_fp16")]; + tensor s_249_cast_fp16 = add(x = x_335_cast_fp16, y = var_1905_cast_fp16)[name = tensor("s_249_cast_fp16")]; + tensor input_223_begin_0 = const()[name = tensor("input_223_begin_0"), val = tensor([0, 54, 0])]; + tensor input_223_end_0 = const()[name = tensor("input_223_end_0"), val = tensor([1, 108, 16384])]; + tensor input_223_end_mask_0 = const()[name = tensor("input_223_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_223_cast_fp16")]; + tensor l_115_cast_fp16 = leaky_relu(alpha = var_25, x = input_223_cast_fp16)[name = tensor("l_115_cast_fp16")]; + tensor x_337_interleave_0 = const()[name = tensor("x_337_interleave_0"), val = tensor(false)]; + tensor x_337_cast_fp16 = concat(axis = var_30, interleave = x_337_interleave_0, values = (s_249_cast_fp16, l_115_cast_fp16))[name = tensor("x_337_cast_fp16")]; + tensor y_7_pad_type_0 = const()[name = tensor("y_7_pad_type_0"), val = tensor("valid")]; + tensor y_7_strides_0 = const()[name = tensor("y_7_strides_0"), val = tensor([2])]; + tensor y_7_groups_0 = const()[name = tensor("y_7_groups_0"), val = tensor(54)]; + tensor y_7_pad_0 = const()[name = tensor("y_7_pad_0"), val = tensor([0, 0])]; + tensor y_7_dilations_0 = const()[name = tensor("y_7_dilations_0"), val = tensor([1])]; + tensor y_7_has_output_shape_output_shape_0 = const()[name = tensor("y_7_has_output_shape_output_shape_0"), val = tensor([1, 54, 32770])]; + tensor m_decoder_up_sample_conv_layers_3_weight_to_fp16 = const()[name = tensor("m_decoder_up_sample_conv_layers_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62238912)))]; + tensor m_decoder_up_sample_conv_layers_3_bias_to_fp16 = const()[name = tensor("m_decoder_up_sample_conv_layers_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62239872)))]; + tensor 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("y_7_has_output_shape_cast_fp16")]; + tensor x_339_begin_0 = const()[name = tensor("x_339_begin_0"), val = tensor([0, 0, 0])]; + tensor x_339_end_0 = const()[name = tensor("x_339_end_0"), val = tensor([1, 54, 32768])]; + tensor x_339_end_mask_0 = const()[name = tensor("x_339_end_mask_0"), val = tensor([true, true, false])]; + tensor 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("x_339_cast_fp16")]; + tensor x_341_begin_0 = const()[name = tensor("x_341_begin_0"), val = tensor([0, 0, 0])]; + tensor x_341_end_0 = const()[name = tensor("x_341_end_0"), val = tensor([1, 27, 32768])]; + tensor x_341_end_mask_0 = const()[name = tensor("x_341_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_341_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62240064)))]; + tensor 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("op_1942_cast_fp16")]; + tensor s_251_cast_fp16 = sin(x = var_1942_cast_fp16)[name = tensor("s_251_cast_fp16")]; + tensor var_1946_to_fp16 = const()[name = tensor("op_1946_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62240192)))]; + tensor var_1949_cast_fp16 = mul(x = var_1946_to_fp16, y = s_251_cast_fp16)[name = tensor("op_1949_cast_fp16")]; + tensor var_1950_cast_fp16 = mul(x = var_1949_cast_fp16, y = s_251_cast_fp16)[name = tensor("op_1950_cast_fp16")]; + tensor s_253_cast_fp16 = add(x = x_341_cast_fp16, y = var_1950_cast_fp16)[name = tensor("s_253_cast_fp16")]; + tensor input_225_begin_0 = const()[name = tensor("input_225_begin_0"), val = tensor([0, 27, 0])]; + tensor input_225_end_0 = const()[name = tensor("input_225_end_0"), val = tensor([1, 54, 32768])]; + tensor input_225_end_mask_0 = const()[name = tensor("input_225_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_225_cast_fp16")]; + tensor l_117_cast_fp16 = leaky_relu(alpha = var_25, x = input_225_cast_fp16)[name = tensor("l_117_cast_fp16")]; + tensor input_227_interleave_0 = const()[name = tensor("input_227_interleave_0"), val = tensor(false)]; + tensor input_227_cast_fp16 = concat(axis = var_30, interleave = input_227_interleave_0, values = (s_253_cast_fp16, l_117_cast_fp16))[name = tensor("input_227_cast_fp16")]; + tensor x_343_pad_0 = const()[name = tensor("x_343_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_343_mode_0 = const()[name = tensor("x_343_mode_0"), val = tensor("constant")]; + tensor const_55_to_fp16 = const()[name = tensor("const_55_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_343_cast_fp16")]; + tensor x_345_pad_type_0 = const()[name = tensor("x_345_pad_type_0"), val = tensor("valid")]; + tensor x_345_strides_0 = const()[name = tensor("x_345_strides_0"), val = tensor([1])]; + tensor x_345_pad_0 = const()[name = tensor("x_345_pad_0"), val = tensor([0, 0])]; + tensor x_345_dilations_0 = const()[name = tensor("x_345_dilations_0"), val = tensor([1])]; + tensor x_345_groups_0 = const()[name = tensor("x_345_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62240320)))]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62257920)))]; + tensor 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("x_345_cast_fp16")]; + tensor x_347_begin_0 = const()[name = tensor("x_347_begin_0"), val = tensor([0, 0, 0])]; + tensor x_347_end_0 = const()[name = tensor("x_347_end_0"), val = tensor([1, 27, 32768])]; + tensor x_347_end_mask_0 = const()[name = tensor("x_347_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_347_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62258112)))]; + tensor 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("op_1970_cast_fp16")]; + tensor s_255_cast_fp16 = sin(x = var_1970_cast_fp16)[name = tensor("s_255_cast_fp16")]; + tensor var_1974_to_fp16 = const()[name = tensor("op_1974_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62258240)))]; + tensor var_1977_cast_fp16 = mul(x = var_1974_to_fp16, y = s_255_cast_fp16)[name = tensor("op_1977_cast_fp16")]; + tensor var_1978_cast_fp16 = mul(x = var_1977_cast_fp16, y = s_255_cast_fp16)[name = tensor("op_1978_cast_fp16")]; + tensor s_257_cast_fp16 = add(x = x_347_cast_fp16, y = var_1978_cast_fp16)[name = tensor("s_257_cast_fp16")]; + tensor input_229_begin_0 = const()[name = tensor("input_229_begin_0"), val = tensor([0, 27, 0])]; + tensor input_229_end_0 = const()[name = tensor("input_229_end_0"), val = tensor([1, 54, 32768])]; + tensor input_229_end_mask_0 = const()[name = tensor("input_229_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_229_cast_fp16")]; + tensor l_119_cast_fp16 = leaky_relu(alpha = var_25, x = input_229_cast_fp16)[name = tensor("l_119_cast_fp16")]; + tensor input_231_interleave_0 = const()[name = tensor("input_231_interleave_0"), val = tensor(false)]; + tensor input_231_cast_fp16 = concat(axis = var_30, interleave = input_231_interleave_0, values = (s_257_cast_fp16, l_119_cast_fp16))[name = tensor("input_231_cast_fp16")]; + tensor x_349_pad_0 = const()[name = tensor("x_349_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_349_mode_0 = const()[name = tensor("x_349_mode_0"), val = tensor("constant")]; + tensor const_56_to_fp16 = const()[name = tensor("const_56_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_349_cast_fp16")]; + tensor h_55_pad_type_0 = const()[name = tensor("h_55_pad_type_0"), val = tensor("valid")]; + tensor h_55_strides_0 = const()[name = tensor("h_55_strides_0"), val = tensor([1])]; + tensor h_55_pad_0 = const()[name = tensor("h_55_pad_0"), val = tensor([0, 0])]; + tensor h_55_dilations_0 = const()[name = tensor("h_55_dilations_0"), val = tensor([1])]; + tensor h_55_groups_0 = const()[name = tensor("h_55_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62258368)))]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62275968)))]; + tensor 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("h_55_cast_fp16")]; + tensor x_351_cast_fp16 = add(x = x_339_cast_fp16, y = h_55_cast_fp16)[name = tensor("x_351_cast_fp16")]; + tensor x_353_begin_0 = const()[name = tensor("x_353_begin_0"), val = tensor([0, 0, 0])]; + tensor x_353_end_0 = const()[name = tensor("x_353_end_0"), val = tensor([1, 27, 32768])]; + tensor x_353_end_mask_0 = const()[name = tensor("x_353_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_353_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62276160)))]; + tensor 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("op_2003_cast_fp16")]; + tensor s_259_cast_fp16 = sin(x = var_2003_cast_fp16)[name = tensor("s_259_cast_fp16")]; + tensor var_2007_to_fp16 = const()[name = tensor("op_2007_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62276288)))]; + tensor var_2010_cast_fp16 = mul(x = var_2007_to_fp16, y = s_259_cast_fp16)[name = tensor("op_2010_cast_fp16")]; + tensor var_2011_cast_fp16 = mul(x = var_2010_cast_fp16, y = s_259_cast_fp16)[name = tensor("op_2011_cast_fp16")]; + tensor s_261_cast_fp16 = add(x = x_353_cast_fp16, y = var_2011_cast_fp16)[name = tensor("s_261_cast_fp16")]; + tensor input_233_begin_0 = const()[name = tensor("input_233_begin_0"), val = tensor([0, 27, 0])]; + tensor input_233_end_0 = const()[name = tensor("input_233_end_0"), val = tensor([1, 54, 32768])]; + tensor input_233_end_mask_0 = const()[name = tensor("input_233_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_233_cast_fp16")]; + tensor l_121_cast_fp16 = leaky_relu(alpha = var_25, x = input_233_cast_fp16)[name = tensor("l_121_cast_fp16")]; + tensor input_235_interleave_0 = const()[name = tensor("input_235_interleave_0"), val = tensor(false)]; + tensor input_235_cast_fp16 = concat(axis = var_30, interleave = input_235_interleave_0, values = (s_261_cast_fp16, l_121_cast_fp16))[name = tensor("input_235_cast_fp16")]; + tensor x_355_pad_0 = const()[name = tensor("x_355_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_355_mode_0 = const()[name = tensor("x_355_mode_0"), val = tensor("constant")]; + tensor const_57_to_fp16 = const()[name = tensor("const_57_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_355_cast_fp16")]; + tensor x_357_pad_type_0 = const()[name = tensor("x_357_pad_type_0"), val = tensor("valid")]; + tensor x_357_dilations_0 = const()[name = tensor("x_357_dilations_0"), val = tensor([3])]; + tensor x_357_strides_0 = const()[name = tensor("x_357_strides_0"), val = tensor([1])]; + tensor x_357_pad_0 = const()[name = tensor("x_357_pad_0"), val = tensor([0, 0])]; + tensor x_357_groups_0 = const()[name = tensor("x_357_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62276416)))]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62294016)))]; + tensor 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("x_357_cast_fp16")]; + tensor x_359_begin_0 = const()[name = tensor("x_359_begin_0"), val = tensor([0, 0, 0])]; + tensor x_359_end_0 = const()[name = tensor("x_359_end_0"), val = tensor([1, 27, 32768])]; + tensor x_359_end_mask_0 = const()[name = tensor("x_359_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_359_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62294208)))]; + tensor 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("op_2031_cast_fp16")]; + tensor s_263_cast_fp16 = sin(x = var_2031_cast_fp16)[name = tensor("s_263_cast_fp16")]; + tensor var_2035_to_fp16 = const()[name = tensor("op_2035_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62294336)))]; + tensor var_2038_cast_fp16 = mul(x = var_2035_to_fp16, y = s_263_cast_fp16)[name = tensor("op_2038_cast_fp16")]; + tensor var_2039_cast_fp16 = mul(x = var_2038_cast_fp16, y = s_263_cast_fp16)[name = tensor("op_2039_cast_fp16")]; + tensor s_265_cast_fp16 = add(x = x_359_cast_fp16, y = var_2039_cast_fp16)[name = tensor("s_265_cast_fp16")]; + tensor input_237_begin_0 = const()[name = tensor("input_237_begin_0"), val = tensor([0, 27, 0])]; + tensor input_237_end_0 = const()[name = tensor("input_237_end_0"), val = tensor([1, 54, 32768])]; + tensor input_237_end_mask_0 = const()[name = tensor("input_237_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_237_cast_fp16")]; + tensor l_123_cast_fp16 = leaky_relu(alpha = var_25, x = input_237_cast_fp16)[name = tensor("l_123_cast_fp16")]; + tensor input_239_interleave_0 = const()[name = tensor("input_239_interleave_0"), val = tensor(false)]; + tensor input_239_cast_fp16 = concat(axis = var_30, interleave = input_239_interleave_0, values = (s_265_cast_fp16, l_123_cast_fp16))[name = tensor("input_239_cast_fp16")]; + tensor x_361_pad_0 = const()[name = tensor("x_361_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_361_mode_0 = const()[name = tensor("x_361_mode_0"), val = tensor("constant")]; + tensor const_58_to_fp16 = const()[name = tensor("const_58_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_361_cast_fp16")]; + tensor h_57_pad_type_0 = const()[name = tensor("h_57_pad_type_0"), val = tensor("valid")]; + tensor h_57_strides_0 = const()[name = tensor("h_57_strides_0"), val = tensor([1])]; + tensor h_57_pad_0 = const()[name = tensor("h_57_pad_0"), val = tensor([0, 0])]; + tensor h_57_dilations_0 = const()[name = tensor("h_57_dilations_0"), val = tensor([1])]; + tensor h_57_groups_0 = const()[name = tensor("h_57_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62294464)))]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62312064)))]; + tensor 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("h_57_cast_fp16")]; + tensor x_363_cast_fp16 = add(x = x_351_cast_fp16, y = h_57_cast_fp16)[name = tensor("x_363_cast_fp16")]; + tensor x_365_begin_0 = const()[name = tensor("x_365_begin_0"), val = tensor([0, 0, 0])]; + tensor x_365_end_0 = const()[name = tensor("x_365_end_0"), val = tensor([1, 27, 32768])]; + tensor x_365_end_mask_0 = const()[name = tensor("x_365_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_365_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62312256)))]; + tensor 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("op_2064_cast_fp16")]; + tensor s_267_cast_fp16 = sin(x = var_2064_cast_fp16)[name = tensor("s_267_cast_fp16")]; + tensor var_2068_to_fp16 = const()[name = tensor("op_2068_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62312384)))]; + tensor var_2071_cast_fp16 = mul(x = var_2068_to_fp16, y = s_267_cast_fp16)[name = tensor("op_2071_cast_fp16")]; + tensor var_2072_cast_fp16 = mul(x = var_2071_cast_fp16, y = s_267_cast_fp16)[name = tensor("op_2072_cast_fp16")]; + tensor s_269_cast_fp16 = add(x = x_365_cast_fp16, y = var_2072_cast_fp16)[name = tensor("s_269_cast_fp16")]; + tensor input_241_begin_0 = const()[name = tensor("input_241_begin_0"), val = tensor([0, 27, 0])]; + tensor input_241_end_0 = const()[name = tensor("input_241_end_0"), val = tensor([1, 54, 32768])]; + tensor input_241_end_mask_0 = const()[name = tensor("input_241_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_241_cast_fp16")]; + tensor l_125_cast_fp16 = leaky_relu(alpha = var_25, x = input_241_cast_fp16)[name = tensor("l_125_cast_fp16")]; + tensor input_243_interleave_0 = const()[name = tensor("input_243_interleave_0"), val = tensor(false)]; + tensor input_243_cast_fp16 = concat(axis = var_30, interleave = input_243_interleave_0, values = (s_269_cast_fp16, l_125_cast_fp16))[name = tensor("input_243_cast_fp16")]; + tensor x_367_pad_0 = const()[name = tensor("x_367_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_367_mode_0 = const()[name = tensor("x_367_mode_0"), val = tensor("constant")]; + tensor const_59_to_fp16 = const()[name = tensor("const_59_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_367_cast_fp16")]; + tensor x_369_pad_type_0 = const()[name = tensor("x_369_pad_type_0"), val = tensor("valid")]; + tensor x_369_dilations_0 = const()[name = tensor("x_369_dilations_0"), val = tensor([5])]; + tensor x_369_strides_0 = const()[name = tensor("x_369_strides_0"), val = tensor([1])]; + tensor x_369_pad_0 = const()[name = tensor("x_369_pad_0"), val = tensor([0, 0])]; + tensor x_369_groups_0 = const()[name = tensor("x_369_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62312512)))]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62330112)))]; + tensor 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("x_369_cast_fp16")]; + tensor x_371_begin_0 = const()[name = tensor("x_371_begin_0"), val = tensor([0, 0, 0])]; + tensor x_371_end_0 = const()[name = tensor("x_371_end_0"), val = tensor([1, 27, 32768])]; + tensor x_371_end_mask_0 = const()[name = tensor("x_371_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_371_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62330304)))]; + tensor 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("op_2092_cast_fp16")]; + tensor s_271_cast_fp16 = sin(x = var_2092_cast_fp16)[name = tensor("s_271_cast_fp16")]; + tensor var_2096_to_fp16 = const()[name = tensor("op_2096_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62330432)))]; + tensor var_2099_cast_fp16 = mul(x = var_2096_to_fp16, y = s_271_cast_fp16)[name = tensor("op_2099_cast_fp16")]; + tensor var_2100_cast_fp16 = mul(x = var_2099_cast_fp16, y = s_271_cast_fp16)[name = tensor("op_2100_cast_fp16")]; + tensor s_273_cast_fp16 = add(x = x_371_cast_fp16, y = var_2100_cast_fp16)[name = tensor("s_273_cast_fp16")]; + tensor input_245_begin_0 = const()[name = tensor("input_245_begin_0"), val = tensor([0, 27, 0])]; + tensor input_245_end_0 = const()[name = tensor("input_245_end_0"), val = tensor([1, 54, 32768])]; + tensor input_245_end_mask_0 = const()[name = tensor("input_245_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_245_cast_fp16")]; + tensor l_127_cast_fp16 = leaky_relu(alpha = var_25, x = input_245_cast_fp16)[name = tensor("l_127_cast_fp16")]; + tensor input_247_interleave_0 = const()[name = tensor("input_247_interleave_0"), val = tensor(false)]; + tensor input_247_cast_fp16 = concat(axis = var_30, interleave = input_247_interleave_0, values = (s_273_cast_fp16, l_127_cast_fp16))[name = tensor("input_247_cast_fp16")]; + tensor x_373_pad_0 = const()[name = tensor("x_373_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_373_mode_0 = const()[name = tensor("x_373_mode_0"), val = tensor("constant")]; + tensor const_60_to_fp16 = const()[name = tensor("const_60_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_373_cast_fp16")]; + tensor h_59_pad_type_0 = const()[name = tensor("h_59_pad_type_0"), val = tensor("valid")]; + tensor h_59_strides_0 = const()[name = tensor("h_59_strides_0"), val = tensor([1])]; + tensor h_59_pad_0 = const()[name = tensor("h_59_pad_0"), val = tensor([0, 0])]; + tensor h_59_dilations_0 = const()[name = tensor("h_59_dilations_0"), val = tensor([1])]; + tensor h_59_groups_0 = const()[name = tensor("h_59_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62330560)))]; + tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62348160)))]; + tensor 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("h_59_cast_fp16")]; + tensor s_323_cast_fp16 = add(x = x_363_cast_fp16, y = h_59_cast_fp16)[name = tensor("s_323_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62348352)))]; + tensor 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("op_2131_cast_fp16")]; + tensor s_275_cast_fp16 = sin(x = var_2131_cast_fp16)[name = tensor("s_275_cast_fp16")]; + tensor var_2135_to_fp16 = const()[name = tensor("op_2135_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62348480)))]; + tensor var_2138_cast_fp16 = mul(x = var_2135_to_fp16, y = s_275_cast_fp16)[name = tensor("op_2138_cast_fp16")]; + tensor var_2139_cast_fp16 = mul(x = var_2138_cast_fp16, y = s_275_cast_fp16)[name = tensor("op_2139_cast_fp16")]; + tensor s_277_cast_fp16 = add(x = x_341_cast_fp16, y = var_2139_cast_fp16)[name = tensor("s_277_cast_fp16")]; + tensor input_251_interleave_0 = const()[name = tensor("input_251_interleave_0"), val = tensor(false)]; + tensor input_251_cast_fp16 = concat(axis = var_30, interleave = input_251_interleave_0, values = (s_277_cast_fp16, l_117_cast_fp16))[name = tensor("input_251_cast_fp16")]; + tensor x_377_pad_0 = const()[name = tensor("x_377_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_377_mode_0 = const()[name = tensor("x_377_mode_0"), val = tensor("constant")]; + tensor const_61_to_fp16 = const()[name = tensor("const_61_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_377_cast_fp16")]; + tensor x_379_pad_type_0 = const()[name = tensor("x_379_pad_type_0"), val = tensor("valid")]; + tensor x_379_strides_0 = const()[name = tensor("x_379_strides_0"), val = tensor([1])]; + tensor x_379_pad_0 = const()[name = tensor("x_379_pad_0"), val = tensor([0, 0])]; + tensor x_379_dilations_0 = const()[name = tensor("x_379_dilations_0"), val = tensor([1])]; + tensor x_379_groups_0 = const()[name = tensor("x_379_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62348608)))]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62389504)))]; + tensor 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("x_379_cast_fp16")]; + tensor x_381_begin_0 = const()[name = tensor("x_381_begin_0"), val = tensor([0, 0, 0])]; + tensor x_381_end_0 = const()[name = tensor("x_381_end_0"), val = tensor([1, 27, 32768])]; + tensor x_381_end_mask_0 = const()[name = tensor("x_381_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_381_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62389696)))]; + tensor 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("op_2159_cast_fp16")]; + tensor s_279_cast_fp16 = sin(x = var_2159_cast_fp16)[name = tensor("s_279_cast_fp16")]; + tensor var_2163_to_fp16 = const()[name = tensor("op_2163_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62389824)))]; + tensor var_2166_cast_fp16 = mul(x = var_2163_to_fp16, y = s_279_cast_fp16)[name = tensor("op_2166_cast_fp16")]; + tensor var_2167_cast_fp16 = mul(x = var_2166_cast_fp16, y = s_279_cast_fp16)[name = tensor("op_2167_cast_fp16")]; + tensor s_281_cast_fp16 = add(x = x_381_cast_fp16, y = var_2167_cast_fp16)[name = tensor("s_281_cast_fp16")]; + tensor input_253_begin_0 = const()[name = tensor("input_253_begin_0"), val = tensor([0, 27, 0])]; + tensor input_253_end_0 = const()[name = tensor("input_253_end_0"), val = tensor([1, 54, 32768])]; + tensor input_253_end_mask_0 = const()[name = tensor("input_253_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_253_cast_fp16")]; + tensor l_131_cast_fp16 = leaky_relu(alpha = var_25, x = input_253_cast_fp16)[name = tensor("l_131_cast_fp16")]; + tensor input_255_interleave_0 = const()[name = tensor("input_255_interleave_0"), val = tensor(false)]; + tensor input_255_cast_fp16 = concat(axis = var_30, interleave = input_255_interleave_0, values = (s_281_cast_fp16, l_131_cast_fp16))[name = tensor("input_255_cast_fp16")]; + tensor x_383_pad_0 = const()[name = tensor("x_383_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_383_mode_0 = const()[name = tensor("x_383_mode_0"), val = tensor("constant")]; + tensor const_62_to_fp16 = const()[name = tensor("const_62_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_383_cast_fp16")]; + tensor h_61_pad_type_0 = const()[name = tensor("h_61_pad_type_0"), val = tensor("valid")]; + tensor h_61_strides_0 = const()[name = tensor("h_61_strides_0"), val = tensor([1])]; + tensor h_61_pad_0 = const()[name = tensor("h_61_pad_0"), val = tensor([0, 0])]; + tensor h_61_dilations_0 = const()[name = tensor("h_61_dilations_0"), val = tensor([1])]; + tensor h_61_groups_0 = const()[name = tensor("h_61_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62389952)))]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62430848)))]; + tensor 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("h_61_cast_fp16")]; + tensor x_385_cast_fp16 = add(x = x_339_cast_fp16, y = h_61_cast_fp16)[name = tensor("x_385_cast_fp16")]; + tensor x_387_begin_0 = const()[name = tensor("x_387_begin_0"), val = tensor([0, 0, 0])]; + tensor x_387_end_0 = const()[name = tensor("x_387_end_0"), val = tensor([1, 27, 32768])]; + tensor x_387_end_mask_0 = const()[name = tensor("x_387_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_387_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62431040)))]; + tensor 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("op_2192_cast_fp16")]; + tensor s_283_cast_fp16 = sin(x = var_2192_cast_fp16)[name = tensor("s_283_cast_fp16")]; + tensor var_2196_to_fp16 = const()[name = tensor("op_2196_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62431168)))]; + tensor var_2199_cast_fp16 = mul(x = var_2196_to_fp16, y = s_283_cast_fp16)[name = tensor("op_2199_cast_fp16")]; + tensor var_2200_cast_fp16 = mul(x = var_2199_cast_fp16, y = s_283_cast_fp16)[name = tensor("op_2200_cast_fp16")]; + tensor s_285_cast_fp16 = add(x = x_387_cast_fp16, y = var_2200_cast_fp16)[name = tensor("s_285_cast_fp16")]; + tensor input_257_begin_0 = const()[name = tensor("input_257_begin_0"), val = tensor([0, 27, 0])]; + tensor input_257_end_0 = const()[name = tensor("input_257_end_0"), val = tensor([1, 54, 32768])]; + tensor input_257_end_mask_0 = const()[name = tensor("input_257_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_257_cast_fp16")]; + tensor l_133_cast_fp16 = leaky_relu(alpha = var_25, x = input_257_cast_fp16)[name = tensor("l_133_cast_fp16")]; + tensor input_259_interleave_0 = const()[name = tensor("input_259_interleave_0"), val = tensor(false)]; + tensor input_259_cast_fp16 = concat(axis = var_30, interleave = input_259_interleave_0, values = (s_285_cast_fp16, l_133_cast_fp16))[name = tensor("input_259_cast_fp16")]; + tensor x_389_pad_0 = const()[name = tensor("x_389_pad_0"), val = tensor([0, 0, 0, 0, 18, 0])]; + tensor x_389_mode_0 = const()[name = tensor("x_389_mode_0"), val = tensor("constant")]; + tensor const_63_to_fp16 = const()[name = tensor("const_63_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_389_cast_fp16")]; + tensor x_391_pad_type_0 = const()[name = tensor("x_391_pad_type_0"), val = tensor("valid")]; + tensor x_391_dilations_0 = const()[name = tensor("x_391_dilations_0"), val = tensor([3])]; + tensor x_391_strides_0 = const()[name = tensor("x_391_strides_0"), val = tensor([1])]; + tensor x_391_pad_0 = const()[name = tensor("x_391_pad_0"), val = tensor([0, 0])]; + tensor x_391_groups_0 = const()[name = tensor("x_391_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62431296)))]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62472192)))]; + tensor 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("x_391_cast_fp16")]; + tensor x_393_begin_0 = const()[name = tensor("x_393_begin_0"), val = tensor([0, 0, 0])]; + tensor x_393_end_0 = const()[name = tensor("x_393_end_0"), val = tensor([1, 27, 32768])]; + tensor x_393_end_mask_0 = const()[name = tensor("x_393_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_393_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62472384)))]; + tensor 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("op_2220_cast_fp16")]; + tensor s_287_cast_fp16 = sin(x = var_2220_cast_fp16)[name = tensor("s_287_cast_fp16")]; + tensor var_2224_to_fp16 = const()[name = tensor("op_2224_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62472512)))]; + tensor var_2227_cast_fp16 = mul(x = var_2224_to_fp16, y = s_287_cast_fp16)[name = tensor("op_2227_cast_fp16")]; + tensor var_2228_cast_fp16 = mul(x = var_2227_cast_fp16, y = s_287_cast_fp16)[name = tensor("op_2228_cast_fp16")]; + tensor s_289_cast_fp16 = add(x = x_393_cast_fp16, y = var_2228_cast_fp16)[name = tensor("s_289_cast_fp16")]; + tensor input_261_begin_0 = const()[name = tensor("input_261_begin_0"), val = tensor([0, 27, 0])]; + tensor input_261_end_0 = const()[name = tensor("input_261_end_0"), val = tensor([1, 54, 32768])]; + tensor input_261_end_mask_0 = const()[name = tensor("input_261_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_261_cast_fp16")]; + tensor l_135_cast_fp16 = leaky_relu(alpha = var_25, x = input_261_cast_fp16)[name = tensor("l_135_cast_fp16")]; + tensor input_263_interleave_0 = const()[name = tensor("input_263_interleave_0"), val = tensor(false)]; + tensor input_263_cast_fp16 = concat(axis = var_30, interleave = input_263_interleave_0, values = (s_289_cast_fp16, l_135_cast_fp16))[name = tensor("input_263_cast_fp16")]; + tensor x_395_pad_0 = const()[name = tensor("x_395_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_395_mode_0 = const()[name = tensor("x_395_mode_0"), val = tensor("constant")]; + tensor const_64_to_fp16 = const()[name = tensor("const_64_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_395_cast_fp16")]; + tensor h_63_pad_type_0 = const()[name = tensor("h_63_pad_type_0"), val = tensor("valid")]; + tensor h_63_strides_0 = const()[name = tensor("h_63_strides_0"), val = tensor([1])]; + tensor h_63_pad_0 = const()[name = tensor("h_63_pad_0"), val = tensor([0, 0])]; + tensor h_63_dilations_0 = const()[name = tensor("h_63_dilations_0"), val = tensor([1])]; + tensor h_63_groups_0 = const()[name = tensor("h_63_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62472640)))]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62513536)))]; + tensor 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("h_63_cast_fp16")]; + tensor x_397_cast_fp16 = add(x = x_385_cast_fp16, y = h_63_cast_fp16)[name = tensor("x_397_cast_fp16")]; + tensor x_399_begin_0 = const()[name = tensor("x_399_begin_0"), val = tensor([0, 0, 0])]; + tensor x_399_end_0 = const()[name = tensor("x_399_end_0"), val = tensor([1, 27, 32768])]; + tensor x_399_end_mask_0 = const()[name = tensor("x_399_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_399_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62513728)))]; + tensor 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("op_2253_cast_fp16")]; + tensor s_291_cast_fp16 = sin(x = var_2253_cast_fp16)[name = tensor("s_291_cast_fp16")]; + tensor var_2257_to_fp16 = const()[name = tensor("op_2257_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62513856)))]; + tensor var_2260_cast_fp16 = mul(x = var_2257_to_fp16, y = s_291_cast_fp16)[name = tensor("op_2260_cast_fp16")]; + tensor var_2261_cast_fp16 = mul(x = var_2260_cast_fp16, y = s_291_cast_fp16)[name = tensor("op_2261_cast_fp16")]; + tensor s_293_cast_fp16 = add(x = x_399_cast_fp16, y = var_2261_cast_fp16)[name = tensor("s_293_cast_fp16")]; + tensor input_265_begin_0 = const()[name = tensor("input_265_begin_0"), val = tensor([0, 27, 0])]; + tensor input_265_end_0 = const()[name = tensor("input_265_end_0"), val = tensor([1, 54, 32768])]; + tensor input_265_end_mask_0 = const()[name = tensor("input_265_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_265_cast_fp16")]; + tensor l_137_cast_fp16 = leaky_relu(alpha = var_25, x = input_265_cast_fp16)[name = tensor("l_137_cast_fp16")]; + tensor input_267_interleave_0 = const()[name = tensor("input_267_interleave_0"), val = tensor(false)]; + tensor input_267_cast_fp16 = concat(axis = var_30, interleave = input_267_interleave_0, values = (s_293_cast_fp16, l_137_cast_fp16))[name = tensor("input_267_cast_fp16")]; + tensor x_401_pad_0 = const()[name = tensor("x_401_pad_0"), val = tensor([0, 0, 0, 0, 30, 0])]; + tensor x_401_mode_0 = const()[name = tensor("x_401_mode_0"), val = tensor("constant")]; + tensor const_65_to_fp16 = const()[name = tensor("const_65_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_401_cast_fp16")]; + tensor x_403_pad_type_0 = const()[name = tensor("x_403_pad_type_0"), val = tensor("valid")]; + tensor x_403_dilations_0 = const()[name = tensor("x_403_dilations_0"), val = tensor([5])]; + tensor x_403_strides_0 = const()[name = tensor("x_403_strides_0"), val = tensor([1])]; + tensor x_403_pad_0 = const()[name = tensor("x_403_pad_0"), val = tensor([0, 0])]; + tensor x_403_groups_0 = const()[name = tensor("x_403_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62513984)))]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62554880)))]; + tensor 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("x_403_cast_fp16")]; + tensor x_405_begin_0 = const()[name = tensor("x_405_begin_0"), val = tensor([0, 0, 0])]; + tensor x_405_end_0 = const()[name = tensor("x_405_end_0"), val = tensor([1, 27, 32768])]; + tensor x_405_end_mask_0 = const()[name = tensor("x_405_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_405_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62555072)))]; + tensor 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("op_2281_cast_fp16")]; + tensor s_295_cast_fp16 = sin(x = var_2281_cast_fp16)[name = tensor("s_295_cast_fp16")]; + tensor var_2285_to_fp16 = const()[name = tensor("op_2285_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62555200)))]; + tensor var_2288_cast_fp16 = mul(x = var_2285_to_fp16, y = s_295_cast_fp16)[name = tensor("op_2288_cast_fp16")]; + tensor var_2289_cast_fp16 = mul(x = var_2288_cast_fp16, y = s_295_cast_fp16)[name = tensor("op_2289_cast_fp16")]; + tensor s_297_cast_fp16 = add(x = x_405_cast_fp16, y = var_2289_cast_fp16)[name = tensor("s_297_cast_fp16")]; + tensor input_269_begin_0 = const()[name = tensor("input_269_begin_0"), val = tensor([0, 27, 0])]; + tensor input_269_end_0 = const()[name = tensor("input_269_end_0"), val = tensor([1, 54, 32768])]; + tensor input_269_end_mask_0 = const()[name = tensor("input_269_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_269_cast_fp16")]; + tensor l_139_cast_fp16 = leaky_relu(alpha = var_25, x = input_269_cast_fp16)[name = tensor("l_139_cast_fp16")]; + tensor input_271_interleave_0 = const()[name = tensor("input_271_interleave_0"), val = tensor(false)]; + tensor input_271_cast_fp16 = concat(axis = var_30, interleave = input_271_interleave_0, values = (s_297_cast_fp16, l_139_cast_fp16))[name = tensor("input_271_cast_fp16")]; + tensor x_407_pad_0 = const()[name = tensor("x_407_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_407_mode_0 = const()[name = tensor("x_407_mode_0"), val = tensor("constant")]; + tensor const_66_to_fp16 = const()[name = tensor("const_66_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_407_cast_fp16")]; + tensor h_65_pad_type_0 = const()[name = tensor("h_65_pad_type_0"), val = tensor("valid")]; + tensor h_65_strides_0 = const()[name = tensor("h_65_strides_0"), val = tensor([1])]; + tensor h_65_pad_0 = const()[name = tensor("h_65_pad_0"), val = tensor([0, 0])]; + tensor h_65_dilations_0 = const()[name = tensor("h_65_dilations_0"), val = tensor([1])]; + tensor h_65_groups_0 = const()[name = tensor("h_65_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62555328)))]; + tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62596224)))]; + tensor 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("h_65_cast_fp16")]; + tensor o_13_cast_fp16 = add(x = x_397_cast_fp16, y = h_65_cast_fp16)[name = tensor("o_13_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62596416)))]; + tensor 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("op_2320_cast_fp16")]; + tensor s_299_cast_fp16 = sin(x = var_2320_cast_fp16)[name = tensor("s_299_cast_fp16")]; + tensor var_2324_to_fp16 = const()[name = tensor("op_2324_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62596544)))]; + tensor var_2327_cast_fp16 = mul(x = var_2324_to_fp16, y = s_299_cast_fp16)[name = tensor("op_2327_cast_fp16")]; + tensor var_2328_cast_fp16 = mul(x = var_2327_cast_fp16, y = s_299_cast_fp16)[name = tensor("op_2328_cast_fp16")]; + tensor s_301_cast_fp16 = add(x = x_341_cast_fp16, y = var_2328_cast_fp16)[name = tensor("s_301_cast_fp16")]; + tensor input_275_interleave_0 = const()[name = tensor("input_275_interleave_0"), val = tensor(false)]; + tensor input_275_cast_fp16 = concat(axis = var_30, interleave = input_275_interleave_0, values = (s_301_cast_fp16, l_117_cast_fp16))[name = tensor("input_275_cast_fp16")]; + tensor x_411_pad_0 = const()[name = tensor("x_411_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_411_mode_0 = const()[name = tensor("x_411_mode_0"), val = tensor("constant")]; + tensor const_67_to_fp16 = const()[name = tensor("const_67_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_411_cast_fp16")]; + tensor x_413_pad_type_0 = const()[name = tensor("x_413_pad_type_0"), val = tensor("valid")]; + tensor x_413_strides_0 = const()[name = tensor("x_413_strides_0"), val = tensor([1])]; + tensor x_413_pad_0 = const()[name = tensor("x_413_pad_0"), val = tensor([0, 0])]; + tensor x_413_dilations_0 = const()[name = tensor("x_413_dilations_0"), val = tensor([1])]; + tensor x_413_groups_0 = const()[name = tensor("x_413_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62596672)))]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62660928)))]; + tensor 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("x_413_cast_fp16")]; + tensor x_415_begin_0 = const()[name = tensor("x_415_begin_0"), val = tensor([0, 0, 0])]; + tensor x_415_end_0 = const()[name = tensor("x_415_end_0"), val = tensor([1, 27, 32768])]; + tensor x_415_end_mask_0 = const()[name = tensor("x_415_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_415_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62661120)))]; + tensor 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("op_2348_cast_fp16")]; + tensor s_303_cast_fp16 = sin(x = var_2348_cast_fp16)[name = tensor("s_303_cast_fp16")]; + tensor var_2352_to_fp16 = const()[name = tensor("op_2352_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62661248)))]; + tensor var_2355_cast_fp16 = mul(x = var_2352_to_fp16, y = s_303_cast_fp16)[name = tensor("op_2355_cast_fp16")]; + tensor var_2356_cast_fp16 = mul(x = var_2355_cast_fp16, y = s_303_cast_fp16)[name = tensor("op_2356_cast_fp16")]; + tensor s_305_cast_fp16 = add(x = x_415_cast_fp16, y = var_2356_cast_fp16)[name = tensor("s_305_cast_fp16")]; + tensor input_277_begin_0 = const()[name = tensor("input_277_begin_0"), val = tensor([0, 27, 0])]; + tensor input_277_end_0 = const()[name = tensor("input_277_end_0"), val = tensor([1, 54, 32768])]; + tensor input_277_end_mask_0 = const()[name = tensor("input_277_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_277_cast_fp16")]; + tensor l_143_cast_fp16 = leaky_relu(alpha = var_25, x = input_277_cast_fp16)[name = tensor("l_143_cast_fp16")]; + tensor input_279_interleave_0 = const()[name = tensor("input_279_interleave_0"), val = tensor(false)]; + tensor input_279_cast_fp16 = concat(axis = var_30, interleave = input_279_interleave_0, values = (s_305_cast_fp16, l_143_cast_fp16))[name = tensor("input_279_cast_fp16")]; + tensor x_417_pad_0 = const()[name = tensor("x_417_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_417_mode_0 = const()[name = tensor("x_417_mode_0"), val = tensor("constant")]; + tensor const_68_to_fp16 = const()[name = tensor("const_68_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_417_cast_fp16")]; + tensor h_67_pad_type_0 = const()[name = tensor("h_67_pad_type_0"), val = tensor("valid")]; + tensor h_67_strides_0 = const()[name = tensor("h_67_strides_0"), val = tensor([1])]; + tensor h_67_pad_0 = const()[name = tensor("h_67_pad_0"), val = tensor([0, 0])]; + tensor h_67_dilations_0 = const()[name = tensor("h_67_dilations_0"), val = tensor([1])]; + tensor h_67_groups_0 = const()[name = tensor("h_67_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62661376)))]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62725632)))]; + tensor 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("h_67_cast_fp16")]; + tensor x_419_cast_fp16 = add(x = x_339_cast_fp16, y = h_67_cast_fp16)[name = tensor("x_419_cast_fp16")]; + tensor x_421_begin_0 = const()[name = tensor("x_421_begin_0"), val = tensor([0, 0, 0])]; + tensor x_421_end_0 = const()[name = tensor("x_421_end_0"), val = tensor([1, 27, 32768])]; + tensor x_421_end_mask_0 = const()[name = tensor("x_421_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_421_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62725824)))]; + tensor 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("op_2381_cast_fp16")]; + tensor s_307_cast_fp16 = sin(x = var_2381_cast_fp16)[name = tensor("s_307_cast_fp16")]; + tensor var_2385_to_fp16 = const()[name = tensor("op_2385_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62725952)))]; + tensor var_2388_cast_fp16 = mul(x = var_2385_to_fp16, y = s_307_cast_fp16)[name = tensor("op_2388_cast_fp16")]; + tensor var_2389_cast_fp16 = mul(x = var_2388_cast_fp16, y = s_307_cast_fp16)[name = tensor("op_2389_cast_fp16")]; + tensor s_309_cast_fp16 = add(x = x_421_cast_fp16, y = var_2389_cast_fp16)[name = tensor("s_309_cast_fp16")]; + tensor input_281_begin_0 = const()[name = tensor("input_281_begin_0"), val = tensor([0, 27, 0])]; + tensor input_281_end_0 = const()[name = tensor("input_281_end_0"), val = tensor([1, 54, 32768])]; + tensor input_281_end_mask_0 = const()[name = tensor("input_281_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_281_cast_fp16")]; + tensor l_145_cast_fp16 = leaky_relu(alpha = var_25, x = input_281_cast_fp16)[name = tensor("l_145_cast_fp16")]; + tensor input_283_interleave_0 = const()[name = tensor("input_283_interleave_0"), val = tensor(false)]; + tensor input_283_cast_fp16 = concat(axis = var_30, interleave = input_283_interleave_0, values = (s_309_cast_fp16, l_145_cast_fp16))[name = tensor("input_283_cast_fp16")]; + tensor x_423_pad_0 = const()[name = tensor("x_423_pad_0"), val = tensor([0, 0, 0, 0, 30, 0])]; + tensor x_423_mode_0 = const()[name = tensor("x_423_mode_0"), val = tensor("constant")]; + tensor const_69_to_fp16 = const()[name = tensor("const_69_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_423_cast_fp16")]; + tensor x_425_pad_type_0 = const()[name = tensor("x_425_pad_type_0"), val = tensor("valid")]; + tensor x_425_dilations_0 = const()[name = tensor("x_425_dilations_0"), val = tensor([3])]; + tensor x_425_strides_0 = const()[name = tensor("x_425_strides_0"), val = tensor([1])]; + tensor x_425_pad_0 = const()[name = tensor("x_425_pad_0"), val = tensor([0, 0])]; + tensor x_425_groups_0 = const()[name = tensor("x_425_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62726080)))]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62790336)))]; + tensor 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("x_425_cast_fp16")]; + tensor x_427_begin_0 = const()[name = tensor("x_427_begin_0"), val = tensor([0, 0, 0])]; + tensor x_427_end_0 = const()[name = tensor("x_427_end_0"), val = tensor([1, 27, 32768])]; + tensor x_427_end_mask_0 = const()[name = tensor("x_427_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_427_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62790528)))]; + tensor 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("op_2409_cast_fp16")]; + tensor s_311_cast_fp16 = sin(x = var_2409_cast_fp16)[name = tensor("s_311_cast_fp16")]; + tensor var_2413_to_fp16 = const()[name = tensor("op_2413_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62790656)))]; + tensor var_2416_cast_fp16 = mul(x = var_2413_to_fp16, y = s_311_cast_fp16)[name = tensor("op_2416_cast_fp16")]; + tensor var_2417_cast_fp16 = mul(x = var_2416_cast_fp16, y = s_311_cast_fp16)[name = tensor("op_2417_cast_fp16")]; + tensor s_313_cast_fp16 = add(x = x_427_cast_fp16, y = var_2417_cast_fp16)[name = tensor("s_313_cast_fp16")]; + tensor input_285_begin_0 = const()[name = tensor("input_285_begin_0"), val = tensor([0, 27, 0])]; + tensor input_285_end_0 = const()[name = tensor("input_285_end_0"), val = tensor([1, 54, 32768])]; + tensor input_285_end_mask_0 = const()[name = tensor("input_285_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_285_cast_fp16")]; + tensor l_147_cast_fp16 = leaky_relu(alpha = var_25, x = input_285_cast_fp16)[name = tensor("l_147_cast_fp16")]; + tensor input_287_interleave_0 = const()[name = tensor("input_287_interleave_0"), val = tensor(false)]; + tensor input_287_cast_fp16 = concat(axis = var_30, interleave = input_287_interleave_0, values = (s_313_cast_fp16, l_147_cast_fp16))[name = tensor("input_287_cast_fp16")]; + tensor x_429_pad_0 = const()[name = tensor("x_429_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_429_mode_0 = const()[name = tensor("x_429_mode_0"), val = tensor("constant")]; + tensor const_70_to_fp16 = const()[name = tensor("const_70_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_429_cast_fp16")]; + tensor h_69_pad_type_0 = const()[name = tensor("h_69_pad_type_0"), val = tensor("valid")]; + tensor h_69_strides_0 = const()[name = tensor("h_69_strides_0"), val = tensor([1])]; + tensor h_69_pad_0 = const()[name = tensor("h_69_pad_0"), val = tensor([0, 0])]; + tensor h_69_dilations_0 = const()[name = tensor("h_69_dilations_0"), val = tensor([1])]; + tensor h_69_groups_0 = const()[name = tensor("h_69_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62790784)))]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62855040)))]; + tensor 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("h_69_cast_fp16")]; + tensor x_431_cast_fp16 = add(x = x_419_cast_fp16, y = h_69_cast_fp16)[name = tensor("x_431_cast_fp16")]; + tensor x_433_begin_0 = const()[name = tensor("x_433_begin_0"), val = tensor([0, 0, 0])]; + tensor x_433_end_0 = const()[name = tensor("x_433_end_0"), val = tensor([1, 27, 32768])]; + tensor x_433_end_mask_0 = const()[name = tensor("x_433_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_433_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62855232)))]; + tensor 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("op_2442_cast_fp16")]; + tensor s_315_cast_fp16 = sin(x = var_2442_cast_fp16)[name = tensor("s_315_cast_fp16")]; + tensor var_2446_to_fp16 = const()[name = tensor("op_2446_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62855360)))]; + tensor var_2449_cast_fp16 = mul(x = var_2446_to_fp16, y = s_315_cast_fp16)[name = tensor("op_2449_cast_fp16")]; + tensor var_2450_cast_fp16 = mul(x = var_2449_cast_fp16, y = s_315_cast_fp16)[name = tensor("op_2450_cast_fp16")]; + tensor s_317_cast_fp16 = add(x = x_433_cast_fp16, y = var_2450_cast_fp16)[name = tensor("s_317_cast_fp16")]; + tensor input_289_begin_0 = const()[name = tensor("input_289_begin_0"), val = tensor([0, 27, 0])]; + tensor input_289_end_0 = const()[name = tensor("input_289_end_0"), val = tensor([1, 54, 32768])]; + tensor input_289_end_mask_0 = const()[name = tensor("input_289_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_289_cast_fp16")]; + tensor l_149_cast_fp16 = leaky_relu(alpha = var_25, x = input_289_cast_fp16)[name = tensor("l_149_cast_fp16")]; + tensor input_291_interleave_0 = const()[name = tensor("input_291_interleave_0"), val = tensor(false)]; + tensor input_291_cast_fp16 = concat(axis = var_30, interleave = input_291_interleave_0, values = (s_317_cast_fp16, l_149_cast_fp16))[name = tensor("input_291_cast_fp16")]; + tensor x_435_pad_0 = const()[name = tensor("x_435_pad_0"), val = tensor([0, 0, 0, 0, 50, 0])]; + tensor x_435_mode_0 = const()[name = tensor("x_435_mode_0"), val = tensor("constant")]; + tensor const_71_to_fp16 = const()[name = tensor("const_71_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_435_cast_fp16")]; + tensor x_437_pad_type_0 = const()[name = tensor("x_437_pad_type_0"), val = tensor("valid")]; + tensor x_437_dilations_0 = const()[name = tensor("x_437_dilations_0"), val = tensor([5])]; + tensor x_437_strides_0 = const()[name = tensor("x_437_strides_0"), val = tensor([1])]; + tensor x_437_pad_0 = const()[name = tensor("x_437_pad_0"), val = tensor([0, 0])]; + tensor x_437_groups_0 = const()[name = tensor("x_437_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62855488)))]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62919744)))]; + tensor 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("x_437_cast_fp16")]; + tensor x_439_begin_0 = const()[name = tensor("x_439_begin_0"), val = tensor([0, 0, 0])]; + tensor x_439_end_0 = const()[name = tensor("x_439_end_0"), val = tensor([1, 27, 32768])]; + tensor x_439_end_mask_0 = const()[name = tensor("x_439_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_439_cast_fp16")]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62919936)))]; + tensor 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("op_2470_cast_fp16")]; + tensor s_319_cast_fp16 = sin(x = var_2470_cast_fp16)[name = tensor("s_319_cast_fp16")]; + tensor var_2474_to_fp16 = const()[name = tensor("op_2474_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62920064)))]; + tensor var_2477_cast_fp16 = mul(x = var_2474_to_fp16, y = s_319_cast_fp16)[name = tensor("op_2477_cast_fp16")]; + tensor var_2478_cast_fp16 = mul(x = var_2477_cast_fp16, y = s_319_cast_fp16)[name = tensor("op_2478_cast_fp16")]; + tensor s_321_cast_fp16 = add(x = x_439_cast_fp16, y = var_2478_cast_fp16)[name = tensor("s_321_cast_fp16")]; + tensor input_293_begin_0 = const()[name = tensor("input_293_begin_0"), val = tensor([0, 27, 0])]; + tensor input_293_end_0 = const()[name = tensor("input_293_end_0"), val = tensor([1, 54, 32768])]; + tensor input_293_end_mask_0 = const()[name = tensor("input_293_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_293_cast_fp16")]; + tensor l_151_cast_fp16 = leaky_relu(alpha = var_25, x = input_293_cast_fp16)[name = tensor("l_151_cast_fp16")]; + tensor input_295_interleave_0 = const()[name = tensor("input_295_interleave_0"), val = tensor(false)]; + tensor input_295_cast_fp16 = concat(axis = var_30, interleave = input_295_interleave_0, values = (s_321_cast_fp16, l_151_cast_fp16))[name = tensor("input_295_cast_fp16")]; + tensor x_441_pad_0 = const()[name = tensor("x_441_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_441_mode_0 = const()[name = tensor("x_441_mode_0"), val = tensor("constant")]; + tensor const_72_to_fp16 = const()[name = tensor("const_72_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_441_cast_fp16")]; + tensor h_71_pad_type_0 = const()[name = tensor("h_71_pad_type_0"), val = tensor("valid")]; + tensor h_71_strides_0 = const()[name = tensor("h_71_strides_0"), val = tensor([1])]; + tensor h_71_pad_0 = const()[name = tensor("h_71_pad_0"), val = tensor([0, 0])]; + tensor h_71_dilations_0 = const()[name = tensor("h_71_dilations_0"), val = tensor([1])]; + tensor h_71_groups_0 = const()[name = tensor("h_71_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62920192)))]; + tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62984448)))]; + tensor 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("h_71_cast_fp16")]; + tensor o_15_cast_fp16 = add(x = x_431_cast_fp16, y = h_71_cast_fp16)[name = tensor("o_15_cast_fp16")]; + tensor s_325_cast_fp16 = add(x = s_323_cast_fp16, y = o_13_cast_fp16)[name = tensor("s_325_cast_fp16")]; + tensor s_327_cast_fp16 = add(x = s_325_cast_fp16, y = o_15_cast_fp16)[name = tensor("s_327_cast_fp16")]; + tensor _inversed_x_443_y_0_to_fp16 = const()[name = tensor("_inversed_x_443_y_0_to_fp16"), val = tensor(0x1.554p-2)]; + tensor _inversed_x_443_cast_fp16 = mul(x = s_327_cast_fp16, y = _inversed_x_443_y_0_to_fp16)[name = tensor("_inversed_x_443_cast_fp16")]; + tensor x_445_begin_0 = const()[name = tensor("x_445_begin_0"), val = tensor([0, 0, 0])]; + tensor x_445_end_0 = const()[name = tensor("x_445_end_0"), val = tensor([1, 27, 32768])]; + tensor x_445_end_mask_0 = const()[name = tensor("x_445_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_445_cast_fp16")]; + tensor m_decoder_activations_4_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_activations_4_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62984640)))]; + tensor var_2503_cast_fp16 = mul(x = m_decoder_activations_4_snake_act_alpha_to_fp16, y = x_445_cast_fp16)[name = tensor("op_2503_cast_fp16")]; + tensor s_329_cast_fp16 = sin(x = var_2503_cast_fp16)[name = tensor("s_329_cast_fp16")]; + tensor var_2507_to_fp16 = const()[name = tensor("op_2507_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62984768)))]; + tensor var_2510_cast_fp16 = mul(x = var_2507_to_fp16, y = s_329_cast_fp16)[name = tensor("op_2510_cast_fp16")]; + tensor var_2511_cast_fp16 = mul(x = var_2510_cast_fp16, y = s_329_cast_fp16)[name = tensor("op_2511_cast_fp16")]; + tensor s_331_cast_fp16 = add(x = x_445_cast_fp16, y = var_2511_cast_fp16)[name = tensor("s_331_cast_fp16")]; + tensor input_297_begin_0 = const()[name = tensor("input_297_begin_0"), val = tensor([0, 27, 0])]; + tensor input_297_end_0 = const()[name = tensor("input_297_end_0"), val = tensor([1, 54, 32768])]; + tensor input_297_end_mask_0 = const()[name = tensor("input_297_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_297_cast_fp16")]; + tensor l_153_cast_fp16 = leaky_relu(alpha = var_25, x = input_297_cast_fp16)[name = tensor("l_153_cast_fp16")]; + tensor x_447_interleave_0 = const()[name = tensor("x_447_interleave_0"), val = tensor(false)]; + tensor x_447_cast_fp16 = concat(axis = var_30, interleave = x_447_interleave_0, values = (s_331_cast_fp16, l_153_cast_fp16))[name = tensor("x_447_cast_fp16")]; + tensor y_pad_type_0 = const()[name = tensor("y_pad_type_0"), val = tensor("valid")]; + tensor y_strides_0 = const()[name = tensor("y_strides_0"), val = tensor([2])]; + tensor y_groups_0 = const()[name = tensor("y_groups_0"), val = tensor(27)]; + tensor y_pad_0 = const()[name = tensor("y_pad_0"), val = tensor([0, 0])]; + tensor y_dilations_0 = const()[name = tensor("y_dilations_0"), val = tensor([1])]; + tensor y_has_output_shape_output_shape_0 = const()[name = tensor("y_has_output_shape_output_shape_0"), val = tensor([1, 27, 65538])]; + tensor m_decoder_up_sample_conv_layers_4_weight_to_fp16 = const()[name = tensor("m_decoder_up_sample_conv_layers_4_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62984896)))]; + tensor m_decoder_up_sample_conv_layers_4_bias_to_fp16 = const()[name = tensor("m_decoder_up_sample_conv_layers_4_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62985408)))]; + tensor 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("y_has_output_shape_cast_fp16")]; + tensor x_449_begin_0 = const()[name = tensor("x_449_begin_0"), val = tensor([0, 0, 0])]; + tensor x_449_end_0 = const()[name = tensor("x_449_end_0"), val = tensor([1, 27, 65536])]; + tensor x_449_end_mask_0 = const()[name = tensor("x_449_end_mask_0"), val = tensor([true, true, false])]; + tensor 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("x_449_cast_fp16")]; + tensor x_451_begin_0 = const()[name = tensor("x_451_begin_0"), val = tensor([0, 0, 0])]; + tensor x_451_end_0 = const()[name = tensor("x_451_end_0"), val = tensor([1, 13, 65536])]; + tensor x_451_end_mask_0 = const()[name = tensor("x_451_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_451_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62985536)))]; + tensor 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("op_2548_cast_fp16")]; + tensor s_333_cast_fp16 = sin(x = var_2548_cast_fp16)[name = tensor("s_333_cast_fp16")]; + tensor var_2552_to_fp16 = const()[name = tensor("op_2552_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62985664)))]; + tensor var_2555_cast_fp16 = mul(x = var_2552_to_fp16, y = s_333_cast_fp16)[name = tensor("op_2555_cast_fp16")]; + tensor var_2556_cast_fp16 = mul(x = var_2555_cast_fp16, y = s_333_cast_fp16)[name = tensor("op_2556_cast_fp16")]; + tensor s_335_cast_fp16 = add(x = x_451_cast_fp16, y = var_2556_cast_fp16)[name = tensor("s_335_cast_fp16")]; + tensor input_299_begin_0 = const()[name = tensor("input_299_begin_0"), val = tensor([0, 13, 0])]; + tensor input_299_end_0 = const()[name = tensor("input_299_end_0"), val = tensor([1, 27, 65536])]; + tensor input_299_end_mask_0 = const()[name = tensor("input_299_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_299_cast_fp16")]; + tensor l_155_cast_fp16 = leaky_relu(alpha = var_25, x = input_299_cast_fp16)[name = tensor("l_155_cast_fp16")]; + tensor input_301_interleave_0 = const()[name = tensor("input_301_interleave_0"), val = tensor(false)]; + tensor input_301_cast_fp16 = concat(axis = var_30, interleave = input_301_interleave_0, values = (s_335_cast_fp16, l_155_cast_fp16))[name = tensor("input_301_cast_fp16")]; + tensor x_453_pad_0 = const()[name = tensor("x_453_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_453_mode_0 = const()[name = tensor("x_453_mode_0"), val = tensor("constant")]; + tensor const_73_to_fp16 = const()[name = tensor("const_73_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_453_cast_fp16")]; + tensor x_455_pad_type_0 = const()[name = tensor("x_455_pad_type_0"), val = tensor("valid")]; + tensor x_455_strides_0 = const()[name = tensor("x_455_strides_0"), val = tensor([1])]; + tensor x_455_pad_0 = const()[name = tensor("x_455_pad_0"), val = tensor([0, 0])]; + tensor x_455_dilations_0 = const()[name = tensor("x_455_dilations_0"), val = tensor([1])]; + tensor x_455_groups_0 = const()[name = tensor("x_455_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62985792)))]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62990272)))]; + tensor 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("x_455_cast_fp16")]; + tensor x_457_begin_0 = const()[name = tensor("x_457_begin_0"), val = tensor([0, 0, 0])]; + tensor x_457_end_0 = const()[name = tensor("x_457_end_0"), val = tensor([1, 13, 65536])]; + tensor x_457_end_mask_0 = const()[name = tensor("x_457_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_457_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62990400)))]; + tensor 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("op_2576_cast_fp16")]; + tensor s_337_cast_fp16 = sin(x = var_2576_cast_fp16)[name = tensor("s_337_cast_fp16")]; + tensor var_2580_to_fp16 = const()[name = tensor("op_2580_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62990528)))]; + tensor var_2583_cast_fp16 = mul(x = var_2580_to_fp16, y = s_337_cast_fp16)[name = tensor("op_2583_cast_fp16")]; + tensor var_2584_cast_fp16 = mul(x = var_2583_cast_fp16, y = s_337_cast_fp16)[name = tensor("op_2584_cast_fp16")]; + tensor s_339_cast_fp16 = add(x = x_457_cast_fp16, y = var_2584_cast_fp16)[name = tensor("s_339_cast_fp16")]; + tensor input_303_begin_0 = const()[name = tensor("input_303_begin_0"), val = tensor([0, 13, 0])]; + tensor input_303_end_0 = const()[name = tensor("input_303_end_0"), val = tensor([1, 27, 65536])]; + tensor input_303_end_mask_0 = const()[name = tensor("input_303_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_303_cast_fp16")]; + tensor l_157_cast_fp16 = leaky_relu(alpha = var_25, x = input_303_cast_fp16)[name = tensor("l_157_cast_fp16")]; + tensor input_305_interleave_0 = const()[name = tensor("input_305_interleave_0"), val = tensor(false)]; + tensor input_305_cast_fp16 = concat(axis = var_30, interleave = input_305_interleave_0, values = (s_339_cast_fp16, l_157_cast_fp16))[name = tensor("input_305_cast_fp16")]; + tensor x_459_pad_0 = const()[name = tensor("x_459_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_459_mode_0 = const()[name = tensor("x_459_mode_0"), val = tensor("constant")]; + tensor const_74_to_fp16 = const()[name = tensor("const_74_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_459_cast_fp16")]; + tensor h_73_pad_type_0 = const()[name = tensor("h_73_pad_type_0"), val = tensor("valid")]; + tensor h_73_strides_0 = const()[name = tensor("h_73_strides_0"), val = tensor([1])]; + tensor h_73_pad_0 = const()[name = tensor("h_73_pad_0"), val = tensor([0, 0])]; + tensor h_73_dilations_0 = const()[name = tensor("h_73_dilations_0"), val = tensor([1])]; + tensor h_73_groups_0 = const()[name = tensor("h_73_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62990656)))]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62995136)))]; + tensor 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("h_73_cast_fp16")]; + tensor x_461_cast_fp16 = add(x = x_449_cast_fp16, y = h_73_cast_fp16)[name = tensor("x_461_cast_fp16")]; + tensor x_463_begin_0 = const()[name = tensor("x_463_begin_0"), val = tensor([0, 0, 0])]; + tensor x_463_end_0 = const()[name = tensor("x_463_end_0"), val = tensor([1, 13, 65536])]; + tensor x_463_end_mask_0 = const()[name = tensor("x_463_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_463_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62995264)))]; + tensor 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("op_2609_cast_fp16")]; + tensor s_341_cast_fp16 = sin(x = var_2609_cast_fp16)[name = tensor("s_341_cast_fp16")]; + tensor var_2613_to_fp16 = const()[name = tensor("op_2613_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62995392)))]; + tensor var_2616_cast_fp16 = mul(x = var_2613_to_fp16, y = s_341_cast_fp16)[name = tensor("op_2616_cast_fp16")]; + tensor var_2617_cast_fp16 = mul(x = var_2616_cast_fp16, y = s_341_cast_fp16)[name = tensor("op_2617_cast_fp16")]; + tensor s_343_cast_fp16 = add(x = x_463_cast_fp16, y = var_2617_cast_fp16)[name = tensor("s_343_cast_fp16")]; + tensor input_307_begin_0 = const()[name = tensor("input_307_begin_0"), val = tensor([0, 13, 0])]; + tensor input_307_end_0 = const()[name = tensor("input_307_end_0"), val = tensor([1, 27, 65536])]; + tensor input_307_end_mask_0 = const()[name = tensor("input_307_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_307_cast_fp16")]; + tensor l_159_cast_fp16 = leaky_relu(alpha = var_25, x = input_307_cast_fp16)[name = tensor("l_159_cast_fp16")]; + tensor input_309_interleave_0 = const()[name = tensor("input_309_interleave_0"), val = tensor(false)]; + tensor input_309_cast_fp16 = concat(axis = var_30, interleave = input_309_interleave_0, values = (s_343_cast_fp16, l_159_cast_fp16))[name = tensor("input_309_cast_fp16")]; + tensor x_465_pad_0 = const()[name = tensor("x_465_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_465_mode_0 = const()[name = tensor("x_465_mode_0"), val = tensor("constant")]; + tensor const_75_to_fp16 = const()[name = tensor("const_75_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_465_cast_fp16")]; + tensor x_467_pad_type_0 = const()[name = tensor("x_467_pad_type_0"), val = tensor("valid")]; + tensor x_467_dilations_0 = const()[name = tensor("x_467_dilations_0"), val = tensor([3])]; + tensor x_467_strides_0 = const()[name = tensor("x_467_strides_0"), val = tensor([1])]; + tensor x_467_pad_0 = const()[name = tensor("x_467_pad_0"), val = tensor([0, 0])]; + tensor x_467_groups_0 = const()[name = tensor("x_467_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62995520)))]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63000000)))]; + tensor 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("x_467_cast_fp16")]; + tensor x_469_begin_0 = const()[name = tensor("x_469_begin_0"), val = tensor([0, 0, 0])]; + tensor x_469_end_0 = const()[name = tensor("x_469_end_0"), val = tensor([1, 13, 65536])]; + tensor x_469_end_mask_0 = const()[name = tensor("x_469_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_469_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63000128)))]; + tensor 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("op_2637_cast_fp16")]; + tensor s_345_cast_fp16 = sin(x = var_2637_cast_fp16)[name = tensor("s_345_cast_fp16")]; + tensor var_2641_to_fp16 = const()[name = tensor("op_2641_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63000256)))]; + tensor var_2644_cast_fp16 = mul(x = var_2641_to_fp16, y = s_345_cast_fp16)[name = tensor("op_2644_cast_fp16")]; + tensor var_2645_cast_fp16 = mul(x = var_2644_cast_fp16, y = s_345_cast_fp16)[name = tensor("op_2645_cast_fp16")]; + tensor s_347_cast_fp16 = add(x = x_469_cast_fp16, y = var_2645_cast_fp16)[name = tensor("s_347_cast_fp16")]; + tensor input_311_begin_0 = const()[name = tensor("input_311_begin_0"), val = tensor([0, 13, 0])]; + tensor input_311_end_0 = const()[name = tensor("input_311_end_0"), val = tensor([1, 27, 65536])]; + tensor input_311_end_mask_0 = const()[name = tensor("input_311_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_311_cast_fp16")]; + tensor l_161_cast_fp16 = leaky_relu(alpha = var_25, x = input_311_cast_fp16)[name = tensor("l_161_cast_fp16")]; + tensor input_313_interleave_0 = const()[name = tensor("input_313_interleave_0"), val = tensor(false)]; + tensor input_313_cast_fp16 = concat(axis = var_30, interleave = input_313_interleave_0, values = (s_347_cast_fp16, l_161_cast_fp16))[name = tensor("input_313_cast_fp16")]; + tensor x_471_pad_0 = const()[name = tensor("x_471_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_471_mode_0 = const()[name = tensor("x_471_mode_0"), val = tensor("constant")]; + tensor const_76_to_fp16 = const()[name = tensor("const_76_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_471_cast_fp16")]; + tensor h_75_pad_type_0 = const()[name = tensor("h_75_pad_type_0"), val = tensor("valid")]; + tensor h_75_strides_0 = const()[name = tensor("h_75_strides_0"), val = tensor([1])]; + tensor h_75_pad_0 = const()[name = tensor("h_75_pad_0"), val = tensor([0, 0])]; + tensor h_75_dilations_0 = const()[name = tensor("h_75_dilations_0"), val = tensor([1])]; + tensor h_75_groups_0 = const()[name = tensor("h_75_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63000384)))]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63004864)))]; + tensor 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("h_75_cast_fp16")]; + tensor x_473_cast_fp16 = add(x = x_461_cast_fp16, y = h_75_cast_fp16)[name = tensor("x_473_cast_fp16")]; + tensor x_475_begin_0 = const()[name = tensor("x_475_begin_0"), val = tensor([0, 0, 0])]; + tensor x_475_end_0 = const()[name = tensor("x_475_end_0"), val = tensor([1, 13, 65536])]; + tensor x_475_end_mask_0 = const()[name = tensor("x_475_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_475_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63004992)))]; + tensor 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("op_2670_cast_fp16")]; + tensor s_349_cast_fp16 = sin(x = var_2670_cast_fp16)[name = tensor("s_349_cast_fp16")]; + tensor var_2674_to_fp16 = const()[name = tensor("op_2674_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63005120)))]; + tensor var_2677_cast_fp16 = mul(x = var_2674_to_fp16, y = s_349_cast_fp16)[name = tensor("op_2677_cast_fp16")]; + tensor var_2678_cast_fp16 = mul(x = var_2677_cast_fp16, y = s_349_cast_fp16)[name = tensor("op_2678_cast_fp16")]; + tensor s_351_cast_fp16 = add(x = x_475_cast_fp16, y = var_2678_cast_fp16)[name = tensor("s_351_cast_fp16")]; + tensor input_315_begin_0 = const()[name = tensor("input_315_begin_0"), val = tensor([0, 13, 0])]; + tensor input_315_end_0 = const()[name = tensor("input_315_end_0"), val = tensor([1, 27, 65536])]; + tensor input_315_end_mask_0 = const()[name = tensor("input_315_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_315_cast_fp16")]; + tensor l_163_cast_fp16 = leaky_relu(alpha = var_25, x = input_315_cast_fp16)[name = tensor("l_163_cast_fp16")]; + tensor input_317_interleave_0 = const()[name = tensor("input_317_interleave_0"), val = tensor(false)]; + tensor input_317_cast_fp16 = concat(axis = var_30, interleave = input_317_interleave_0, values = (s_351_cast_fp16, l_163_cast_fp16))[name = tensor("input_317_cast_fp16")]; + tensor x_477_pad_0 = const()[name = tensor("x_477_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_477_mode_0 = const()[name = tensor("x_477_mode_0"), val = tensor("constant")]; + tensor const_77_to_fp16 = const()[name = tensor("const_77_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_477_cast_fp16")]; + tensor x_479_pad_type_0 = const()[name = tensor("x_479_pad_type_0"), val = tensor("valid")]; + tensor x_479_dilations_0 = const()[name = tensor("x_479_dilations_0"), val = tensor([5])]; + tensor x_479_strides_0 = const()[name = tensor("x_479_strides_0"), val = tensor([1])]; + tensor x_479_pad_0 = const()[name = tensor("x_479_pad_0"), val = tensor([0, 0])]; + tensor x_479_groups_0 = const()[name = tensor("x_479_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63005248)))]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63009728)))]; + tensor 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("x_479_cast_fp16")]; + tensor x_481_begin_0 = const()[name = tensor("x_481_begin_0"), val = tensor([0, 0, 0])]; + tensor x_481_end_0 = const()[name = tensor("x_481_end_0"), val = tensor([1, 13, 65536])]; + tensor x_481_end_mask_0 = const()[name = tensor("x_481_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_481_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63009856)))]; + tensor 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("op_2698_cast_fp16")]; + tensor s_353_cast_fp16 = sin(x = var_2698_cast_fp16)[name = tensor("s_353_cast_fp16")]; + tensor var_2702_to_fp16 = const()[name = tensor("op_2702_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63009984)))]; + tensor var_2705_cast_fp16 = mul(x = var_2702_to_fp16, y = s_353_cast_fp16)[name = tensor("op_2705_cast_fp16")]; + tensor var_2706_cast_fp16 = mul(x = var_2705_cast_fp16, y = s_353_cast_fp16)[name = tensor("op_2706_cast_fp16")]; + tensor s_355_cast_fp16 = add(x = x_481_cast_fp16, y = var_2706_cast_fp16)[name = tensor("s_355_cast_fp16")]; + tensor input_319_begin_0 = const()[name = tensor("input_319_begin_0"), val = tensor([0, 13, 0])]; + tensor input_319_end_0 = const()[name = tensor("input_319_end_0"), val = tensor([1, 27, 65536])]; + tensor input_319_end_mask_0 = const()[name = tensor("input_319_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_319_cast_fp16")]; + tensor l_165_cast_fp16 = leaky_relu(alpha = var_25, x = input_319_cast_fp16)[name = tensor("l_165_cast_fp16")]; + tensor input_321_interleave_0 = const()[name = tensor("input_321_interleave_0"), val = tensor(false)]; + tensor input_321_cast_fp16 = concat(axis = var_30, interleave = input_321_interleave_0, values = (s_355_cast_fp16, l_165_cast_fp16))[name = tensor("input_321_cast_fp16")]; + tensor x_483_pad_0 = const()[name = tensor("x_483_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_483_mode_0 = const()[name = tensor("x_483_mode_0"), val = tensor("constant")]; + tensor const_78_to_fp16 = const()[name = tensor("const_78_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_483_cast_fp16")]; + tensor h_77_pad_type_0 = const()[name = tensor("h_77_pad_type_0"), val = tensor("valid")]; + tensor h_77_strides_0 = const()[name = tensor("h_77_strides_0"), val = tensor([1])]; + tensor h_77_pad_0 = const()[name = tensor("h_77_pad_0"), val = tensor([0, 0])]; + tensor h_77_dilations_0 = const()[name = tensor("h_77_dilations_0"), val = tensor([1])]; + tensor h_77_groups_0 = const()[name = tensor("h_77_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63010112)))]; + tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63014592)))]; + tensor 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("h_77_cast_fp16")]; + tensor s_405_cast_fp16 = add(x = x_473_cast_fp16, y = h_77_cast_fp16)[name = tensor("s_405_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63014720)))]; + tensor 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("op_2737_cast_fp16")]; + tensor s_357_cast_fp16 = sin(x = var_2737_cast_fp16)[name = tensor("s_357_cast_fp16")]; + tensor var_2741_to_fp16 = const()[name = tensor("op_2741_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63014848)))]; + tensor var_2744_cast_fp16 = mul(x = var_2741_to_fp16, y = s_357_cast_fp16)[name = tensor("op_2744_cast_fp16")]; + tensor var_2745_cast_fp16 = mul(x = var_2744_cast_fp16, y = s_357_cast_fp16)[name = tensor("op_2745_cast_fp16")]; + tensor s_359_cast_fp16 = add(x = x_451_cast_fp16, y = var_2745_cast_fp16)[name = tensor("s_359_cast_fp16")]; + tensor input_325_interleave_0 = const()[name = tensor("input_325_interleave_0"), val = tensor(false)]; + tensor input_325_cast_fp16 = concat(axis = var_30, interleave = input_325_interleave_0, values = (s_359_cast_fp16, l_155_cast_fp16))[name = tensor("input_325_cast_fp16")]; + tensor x_487_pad_0 = const()[name = tensor("x_487_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_487_mode_0 = const()[name = tensor("x_487_mode_0"), val = tensor("constant")]; + tensor const_79_to_fp16 = const()[name = tensor("const_79_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_487_cast_fp16")]; + tensor x_489_pad_type_0 = const()[name = tensor("x_489_pad_type_0"), val = tensor("valid")]; + tensor x_489_strides_0 = const()[name = tensor("x_489_strides_0"), val = tensor([1])]; + tensor x_489_pad_0 = const()[name = tensor("x_489_pad_0"), val = tensor([0, 0])]; + tensor x_489_dilations_0 = const()[name = tensor("x_489_dilations_0"), val = tensor([1])]; + tensor x_489_groups_0 = const()[name = tensor("x_489_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63014976)))]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63025280)))]; + tensor 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("x_489_cast_fp16")]; + tensor x_491_begin_0 = const()[name = tensor("x_491_begin_0"), val = tensor([0, 0, 0])]; + tensor x_491_end_0 = const()[name = tensor("x_491_end_0"), val = tensor([1, 13, 65536])]; + tensor x_491_end_mask_0 = const()[name = tensor("x_491_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_491_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63025408)))]; + tensor 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("op_2765_cast_fp16")]; + tensor s_361_cast_fp16 = sin(x = var_2765_cast_fp16)[name = tensor("s_361_cast_fp16")]; + tensor var_2769_to_fp16 = const()[name = tensor("op_2769_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63025536)))]; + tensor var_2772_cast_fp16 = mul(x = var_2769_to_fp16, y = s_361_cast_fp16)[name = tensor("op_2772_cast_fp16")]; + tensor var_2773_cast_fp16 = mul(x = var_2772_cast_fp16, y = s_361_cast_fp16)[name = tensor("op_2773_cast_fp16")]; + tensor s_363_cast_fp16 = add(x = x_491_cast_fp16, y = var_2773_cast_fp16)[name = tensor("s_363_cast_fp16")]; + tensor input_327_begin_0 = const()[name = tensor("input_327_begin_0"), val = tensor([0, 13, 0])]; + tensor input_327_end_0 = const()[name = tensor("input_327_end_0"), val = tensor([1, 27, 65536])]; + tensor input_327_end_mask_0 = const()[name = tensor("input_327_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_327_cast_fp16")]; + tensor l_169_cast_fp16 = leaky_relu(alpha = var_25, x = input_327_cast_fp16)[name = tensor("l_169_cast_fp16")]; + tensor input_329_interleave_0 = const()[name = tensor("input_329_interleave_0"), val = tensor(false)]; + tensor input_329_cast_fp16 = concat(axis = var_30, interleave = input_329_interleave_0, values = (s_363_cast_fp16, l_169_cast_fp16))[name = tensor("input_329_cast_fp16")]; + tensor x_493_pad_0 = const()[name = tensor("x_493_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_493_mode_0 = const()[name = tensor("x_493_mode_0"), val = tensor("constant")]; + tensor const_80_to_fp16 = const()[name = tensor("const_80_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_493_cast_fp16")]; + tensor h_79_pad_type_0 = const()[name = tensor("h_79_pad_type_0"), val = tensor("valid")]; + tensor h_79_strides_0 = const()[name = tensor("h_79_strides_0"), val = tensor([1])]; + tensor h_79_pad_0 = const()[name = tensor("h_79_pad_0"), val = tensor([0, 0])]; + tensor h_79_dilations_0 = const()[name = tensor("h_79_dilations_0"), val = tensor([1])]; + tensor h_79_groups_0 = const()[name = tensor("h_79_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63025664)))]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63035968)))]; + tensor 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("h_79_cast_fp16")]; + tensor x_495_cast_fp16 = add(x = x_449_cast_fp16, y = h_79_cast_fp16)[name = tensor("x_495_cast_fp16")]; + tensor x_497_begin_0 = const()[name = tensor("x_497_begin_0"), val = tensor([0, 0, 0])]; + tensor x_497_end_0 = const()[name = tensor("x_497_end_0"), val = tensor([1, 13, 65536])]; + tensor x_497_end_mask_0 = const()[name = tensor("x_497_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_497_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63036096)))]; + tensor 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("op_2798_cast_fp16")]; + tensor s_365_cast_fp16 = sin(x = var_2798_cast_fp16)[name = tensor("s_365_cast_fp16")]; + tensor var_2802_to_fp16 = const()[name = tensor("op_2802_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63036224)))]; + tensor var_2805_cast_fp16 = mul(x = var_2802_to_fp16, y = s_365_cast_fp16)[name = tensor("op_2805_cast_fp16")]; + tensor var_2806_cast_fp16 = mul(x = var_2805_cast_fp16, y = s_365_cast_fp16)[name = tensor("op_2806_cast_fp16")]; + tensor s_367_cast_fp16 = add(x = x_497_cast_fp16, y = var_2806_cast_fp16)[name = tensor("s_367_cast_fp16")]; + tensor input_331_begin_0 = const()[name = tensor("input_331_begin_0"), val = tensor([0, 13, 0])]; + tensor input_331_end_0 = const()[name = tensor("input_331_end_0"), val = tensor([1, 27, 65536])]; + tensor input_331_end_mask_0 = const()[name = tensor("input_331_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_331_cast_fp16")]; + tensor l_171_cast_fp16 = leaky_relu(alpha = var_25, x = input_331_cast_fp16)[name = tensor("l_171_cast_fp16")]; + tensor input_333_interleave_0 = const()[name = tensor("input_333_interleave_0"), val = tensor(false)]; + tensor input_333_cast_fp16 = concat(axis = var_30, interleave = input_333_interleave_0, values = (s_367_cast_fp16, l_171_cast_fp16))[name = tensor("input_333_cast_fp16")]; + tensor x_499_pad_0 = const()[name = tensor("x_499_pad_0"), val = tensor([0, 0, 0, 0, 18, 0])]; + tensor x_499_mode_0 = const()[name = tensor("x_499_mode_0"), val = tensor("constant")]; + tensor const_81_to_fp16 = const()[name = tensor("const_81_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_499_cast_fp16")]; + tensor x_501_pad_type_0 = const()[name = tensor("x_501_pad_type_0"), val = tensor("valid")]; + tensor x_501_dilations_0 = const()[name = tensor("x_501_dilations_0"), val = tensor([3])]; + tensor x_501_strides_0 = const()[name = tensor("x_501_strides_0"), val = tensor([1])]; + tensor x_501_pad_0 = const()[name = tensor("x_501_pad_0"), val = tensor([0, 0])]; + tensor x_501_groups_0 = const()[name = tensor("x_501_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63036352)))]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63046656)))]; + tensor 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("x_501_cast_fp16")]; + tensor x_503_begin_0 = const()[name = tensor("x_503_begin_0"), val = tensor([0, 0, 0])]; + tensor x_503_end_0 = const()[name = tensor("x_503_end_0"), val = tensor([1, 13, 65536])]; + tensor x_503_end_mask_0 = const()[name = tensor("x_503_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_503_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63046784)))]; + tensor 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("op_2826_cast_fp16")]; + tensor s_369_cast_fp16 = sin(x = var_2826_cast_fp16)[name = tensor("s_369_cast_fp16")]; + tensor var_2830_to_fp16 = const()[name = tensor("op_2830_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63046912)))]; + tensor var_2833_cast_fp16 = mul(x = var_2830_to_fp16, y = s_369_cast_fp16)[name = tensor("op_2833_cast_fp16")]; + tensor var_2834_cast_fp16 = mul(x = var_2833_cast_fp16, y = s_369_cast_fp16)[name = tensor("op_2834_cast_fp16")]; + tensor s_371_cast_fp16 = add(x = x_503_cast_fp16, y = var_2834_cast_fp16)[name = tensor("s_371_cast_fp16")]; + tensor input_335_begin_0 = const()[name = tensor("input_335_begin_0"), val = tensor([0, 13, 0])]; + tensor input_335_end_0 = const()[name = tensor("input_335_end_0"), val = tensor([1, 27, 65536])]; + tensor input_335_end_mask_0 = const()[name = tensor("input_335_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_335_cast_fp16")]; + tensor l_173_cast_fp16 = leaky_relu(alpha = var_25, x = input_335_cast_fp16)[name = tensor("l_173_cast_fp16")]; + tensor input_337_interleave_0 = const()[name = tensor("input_337_interleave_0"), val = tensor(false)]; + tensor input_337_cast_fp16 = concat(axis = var_30, interleave = input_337_interleave_0, values = (s_371_cast_fp16, l_173_cast_fp16))[name = tensor("input_337_cast_fp16")]; + tensor x_505_pad_0 = const()[name = tensor("x_505_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_505_mode_0 = const()[name = tensor("x_505_mode_0"), val = tensor("constant")]; + tensor const_82_to_fp16 = const()[name = tensor("const_82_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_505_cast_fp16")]; + tensor h_81_pad_type_0 = const()[name = tensor("h_81_pad_type_0"), val = tensor("valid")]; + tensor h_81_strides_0 = const()[name = tensor("h_81_strides_0"), val = tensor([1])]; + tensor h_81_pad_0 = const()[name = tensor("h_81_pad_0"), val = tensor([0, 0])]; + tensor h_81_dilations_0 = const()[name = tensor("h_81_dilations_0"), val = tensor([1])]; + tensor h_81_groups_0 = const()[name = tensor("h_81_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63047040)))]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63057344)))]; + tensor 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("h_81_cast_fp16")]; + tensor x_507_cast_fp16 = add(x = x_495_cast_fp16, y = h_81_cast_fp16)[name = tensor("x_507_cast_fp16")]; + tensor x_509_begin_0 = const()[name = tensor("x_509_begin_0"), val = tensor([0, 0, 0])]; + tensor x_509_end_0 = const()[name = tensor("x_509_end_0"), val = tensor([1, 13, 65536])]; + tensor x_509_end_mask_0 = const()[name = tensor("x_509_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_509_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63057472)))]; + tensor 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("op_2859_cast_fp16")]; + tensor s_373_cast_fp16 = sin(x = var_2859_cast_fp16)[name = tensor("s_373_cast_fp16")]; + tensor var_2863_to_fp16 = const()[name = tensor("op_2863_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63057600)))]; + tensor var_2866_cast_fp16 = mul(x = var_2863_to_fp16, y = s_373_cast_fp16)[name = tensor("op_2866_cast_fp16")]; + tensor var_2867_cast_fp16 = mul(x = var_2866_cast_fp16, y = s_373_cast_fp16)[name = tensor("op_2867_cast_fp16")]; + tensor s_375_cast_fp16 = add(x = x_509_cast_fp16, y = var_2867_cast_fp16)[name = tensor("s_375_cast_fp16")]; + tensor input_339_begin_0 = const()[name = tensor("input_339_begin_0"), val = tensor([0, 13, 0])]; + tensor input_339_end_0 = const()[name = tensor("input_339_end_0"), val = tensor([1, 27, 65536])]; + tensor input_339_end_mask_0 = const()[name = tensor("input_339_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_339_cast_fp16")]; + tensor l_175_cast_fp16 = leaky_relu(alpha = var_25, x = input_339_cast_fp16)[name = tensor("l_175_cast_fp16")]; + tensor input_341_interleave_0 = const()[name = tensor("input_341_interleave_0"), val = tensor(false)]; + tensor input_341_cast_fp16 = concat(axis = var_30, interleave = input_341_interleave_0, values = (s_375_cast_fp16, l_175_cast_fp16))[name = tensor("input_341_cast_fp16")]; + tensor x_511_pad_0 = const()[name = tensor("x_511_pad_0"), val = tensor([0, 0, 0, 0, 30, 0])]; + tensor x_511_mode_0 = const()[name = tensor("x_511_mode_0"), val = tensor("constant")]; + tensor const_83_to_fp16 = const()[name = tensor("const_83_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_511_cast_fp16")]; + tensor x_513_pad_type_0 = const()[name = tensor("x_513_pad_type_0"), val = tensor("valid")]; + tensor x_513_dilations_0 = const()[name = tensor("x_513_dilations_0"), val = tensor([5])]; + tensor x_513_strides_0 = const()[name = tensor("x_513_strides_0"), val = tensor([1])]; + tensor x_513_pad_0 = const()[name = tensor("x_513_pad_0"), val = tensor([0, 0])]; + tensor x_513_groups_0 = const()[name = tensor("x_513_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63057728)))]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63068032)))]; + tensor 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("x_513_cast_fp16")]; + tensor x_515_begin_0 = const()[name = tensor("x_515_begin_0"), val = tensor([0, 0, 0])]; + tensor x_515_end_0 = const()[name = tensor("x_515_end_0"), val = tensor([1, 13, 65536])]; + tensor x_515_end_mask_0 = const()[name = tensor("x_515_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_515_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63068160)))]; + tensor 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("op_2887_cast_fp16")]; + tensor s_377_cast_fp16 = sin(x = var_2887_cast_fp16)[name = tensor("s_377_cast_fp16")]; + tensor var_2891_to_fp16 = const()[name = tensor("op_2891_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63068288)))]; + tensor var_2894_cast_fp16 = mul(x = var_2891_to_fp16, y = s_377_cast_fp16)[name = tensor("op_2894_cast_fp16")]; + tensor var_2895_cast_fp16 = mul(x = var_2894_cast_fp16, y = s_377_cast_fp16)[name = tensor("op_2895_cast_fp16")]; + tensor s_379_cast_fp16 = add(x = x_515_cast_fp16, y = var_2895_cast_fp16)[name = tensor("s_379_cast_fp16")]; + tensor input_343_begin_0 = const()[name = tensor("input_343_begin_0"), val = tensor([0, 13, 0])]; + tensor input_343_end_0 = const()[name = tensor("input_343_end_0"), val = tensor([1, 27, 65536])]; + tensor input_343_end_mask_0 = const()[name = tensor("input_343_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_343_cast_fp16")]; + tensor l_177_cast_fp16 = leaky_relu(alpha = var_25, x = input_343_cast_fp16)[name = tensor("l_177_cast_fp16")]; + tensor input_345_interleave_0 = const()[name = tensor("input_345_interleave_0"), val = tensor(false)]; + tensor input_345_cast_fp16 = concat(axis = var_30, interleave = input_345_interleave_0, values = (s_379_cast_fp16, l_177_cast_fp16))[name = tensor("input_345_cast_fp16")]; + tensor x_517_pad_0 = const()[name = tensor("x_517_pad_0"), val = tensor([0, 0, 0, 0, 6, 0])]; + tensor x_517_mode_0 = const()[name = tensor("x_517_mode_0"), val = tensor("constant")]; + tensor const_84_to_fp16 = const()[name = tensor("const_84_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_517_cast_fp16")]; + tensor h_83_pad_type_0 = const()[name = tensor("h_83_pad_type_0"), val = tensor("valid")]; + tensor h_83_strides_0 = const()[name = tensor("h_83_strides_0"), val = tensor([1])]; + tensor h_83_pad_0 = const()[name = tensor("h_83_pad_0"), val = tensor([0, 0])]; + tensor h_83_dilations_0 = const()[name = tensor("h_83_dilations_0"), val = tensor([1])]; + tensor h_83_groups_0 = const()[name = tensor("h_83_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63068416)))]; + tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63078720)))]; + tensor 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("h_83_cast_fp16")]; + tensor o_17_cast_fp16 = add(x = x_507_cast_fp16, y = h_83_cast_fp16)[name = tensor("o_17_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63078848)))]; + tensor 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("op_2926_cast_fp16")]; + tensor s_381_cast_fp16 = sin(x = var_2926_cast_fp16)[name = tensor("s_381_cast_fp16")]; + tensor var_2930_to_fp16 = const()[name = tensor("op_2930_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63078976)))]; + tensor var_2933_cast_fp16 = mul(x = var_2930_to_fp16, y = s_381_cast_fp16)[name = tensor("op_2933_cast_fp16")]; + tensor var_2934_cast_fp16 = mul(x = var_2933_cast_fp16, y = s_381_cast_fp16)[name = tensor("op_2934_cast_fp16")]; + tensor s_383_cast_fp16 = add(x = x_451_cast_fp16, y = var_2934_cast_fp16)[name = tensor("s_383_cast_fp16")]; + tensor input_349_interleave_0 = const()[name = tensor("input_349_interleave_0"), val = tensor(false)]; + tensor input_349_cast_fp16 = concat(axis = var_30, interleave = input_349_interleave_0, values = (s_383_cast_fp16, l_155_cast_fp16))[name = tensor("input_349_cast_fp16")]; + tensor x_521_pad_0 = const()[name = tensor("x_521_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_521_mode_0 = const()[name = tensor("x_521_mode_0"), val = tensor("constant")]; + tensor const_85_to_fp16 = const()[name = tensor("const_85_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_521_cast_fp16")]; + tensor x_523_pad_type_0 = const()[name = tensor("x_523_pad_type_0"), val = tensor("valid")]; + tensor x_523_strides_0 = const()[name = tensor("x_523_strides_0"), val = tensor([1])]; + tensor x_523_pad_0 = const()[name = tensor("x_523_pad_0"), val = tensor([0, 0])]; + tensor x_523_dilations_0 = const()[name = tensor("x_523_dilations_0"), val = tensor([1])]; + tensor x_523_groups_0 = const()[name = tensor("x_523_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63079104)))]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63095232)))]; + tensor 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("x_523_cast_fp16")]; + tensor x_525_begin_0 = const()[name = tensor("x_525_begin_0"), val = tensor([0, 0, 0])]; + tensor x_525_end_0 = const()[name = tensor("x_525_end_0"), val = tensor([1, 13, 65536])]; + tensor x_525_end_mask_0 = const()[name = tensor("x_525_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_525_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63095360)))]; + tensor 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("op_2954_cast_fp16")]; + tensor s_385_cast_fp16 = sin(x = var_2954_cast_fp16)[name = tensor("s_385_cast_fp16")]; + tensor var_2958_to_fp16 = const()[name = tensor("op_2958_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63095488)))]; + tensor var_2961_cast_fp16 = mul(x = var_2958_to_fp16, y = s_385_cast_fp16)[name = tensor("op_2961_cast_fp16")]; + tensor var_2962_cast_fp16 = mul(x = var_2961_cast_fp16, y = s_385_cast_fp16)[name = tensor("op_2962_cast_fp16")]; + tensor s_387_cast_fp16 = add(x = x_525_cast_fp16, y = var_2962_cast_fp16)[name = tensor("s_387_cast_fp16")]; + tensor input_351_begin_0 = const()[name = tensor("input_351_begin_0"), val = tensor([0, 13, 0])]; + tensor input_351_end_0 = const()[name = tensor("input_351_end_0"), val = tensor([1, 27, 65536])]; + tensor input_351_end_mask_0 = const()[name = tensor("input_351_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_351_cast_fp16")]; + tensor l_181_cast_fp16 = leaky_relu(alpha = var_25, x = input_351_cast_fp16)[name = tensor("l_181_cast_fp16")]; + tensor input_353_interleave_0 = const()[name = tensor("input_353_interleave_0"), val = tensor(false)]; + tensor input_353_cast_fp16 = concat(axis = var_30, interleave = input_353_interleave_0, values = (s_387_cast_fp16, l_181_cast_fp16))[name = tensor("input_353_cast_fp16")]; + tensor x_527_pad_0 = const()[name = tensor("x_527_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_527_mode_0 = const()[name = tensor("x_527_mode_0"), val = tensor("constant")]; + tensor const_86_to_fp16 = const()[name = tensor("const_86_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_527_cast_fp16")]; + tensor h_85_pad_type_0 = const()[name = tensor("h_85_pad_type_0"), val = tensor("valid")]; + tensor h_85_strides_0 = const()[name = tensor("h_85_strides_0"), val = tensor([1])]; + tensor h_85_pad_0 = const()[name = tensor("h_85_pad_0"), val = tensor([0, 0])]; + tensor h_85_dilations_0 = const()[name = tensor("h_85_dilations_0"), val = tensor([1])]; + tensor h_85_groups_0 = const()[name = tensor("h_85_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63095616)))]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63111744)))]; + tensor 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("h_85_cast_fp16")]; + tensor x_529_cast_fp16 = add(x = x_449_cast_fp16, y = h_85_cast_fp16)[name = tensor("x_529_cast_fp16")]; + tensor x_531_begin_0 = const()[name = tensor("x_531_begin_0"), val = tensor([0, 0, 0])]; + tensor x_531_end_0 = const()[name = tensor("x_531_end_0"), val = tensor([1, 13, 65536])]; + tensor x_531_end_mask_0 = const()[name = tensor("x_531_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_531_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63111872)))]; + tensor 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("op_2987_cast_fp16")]; + tensor s_389_cast_fp16 = sin(x = var_2987_cast_fp16)[name = tensor("s_389_cast_fp16")]; + tensor var_2991_to_fp16 = const()[name = tensor("op_2991_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63112000)))]; + tensor var_2994_cast_fp16 = mul(x = var_2991_to_fp16, y = s_389_cast_fp16)[name = tensor("op_2994_cast_fp16")]; + tensor var_2995_cast_fp16 = mul(x = var_2994_cast_fp16, y = s_389_cast_fp16)[name = tensor("op_2995_cast_fp16")]; + tensor s_391_cast_fp16 = add(x = x_531_cast_fp16, y = var_2995_cast_fp16)[name = tensor("s_391_cast_fp16")]; + tensor input_355_begin_0 = const()[name = tensor("input_355_begin_0"), val = tensor([0, 13, 0])]; + tensor input_355_end_0 = const()[name = tensor("input_355_end_0"), val = tensor([1, 27, 65536])]; + tensor input_355_end_mask_0 = const()[name = tensor("input_355_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_355_cast_fp16")]; + tensor l_183_cast_fp16 = leaky_relu(alpha = var_25, x = input_355_cast_fp16)[name = tensor("l_183_cast_fp16")]; + tensor input_357_interleave_0 = const()[name = tensor("input_357_interleave_0"), val = tensor(false)]; + tensor input_357_cast_fp16 = concat(axis = var_30, interleave = input_357_interleave_0, values = (s_391_cast_fp16, l_183_cast_fp16))[name = tensor("input_357_cast_fp16")]; + tensor x_533_pad_0 = const()[name = tensor("x_533_pad_0"), val = tensor([0, 0, 0, 0, 30, 0])]; + tensor x_533_mode_0 = const()[name = tensor("x_533_mode_0"), val = tensor("constant")]; + tensor const_87_to_fp16 = const()[name = tensor("const_87_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_533_cast_fp16")]; + tensor x_535_pad_type_0 = const()[name = tensor("x_535_pad_type_0"), val = tensor("valid")]; + tensor x_535_dilations_0 = const()[name = tensor("x_535_dilations_0"), val = tensor([3])]; + tensor x_535_strides_0 = const()[name = tensor("x_535_strides_0"), val = tensor([1])]; + tensor x_535_pad_0 = const()[name = tensor("x_535_pad_0"), val = tensor([0, 0])]; + tensor x_535_groups_0 = const()[name = tensor("x_535_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63112128)))]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63128256)))]; + tensor 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("x_535_cast_fp16")]; + tensor x_537_begin_0 = const()[name = tensor("x_537_begin_0"), val = tensor([0, 0, 0])]; + tensor x_537_end_0 = const()[name = tensor("x_537_end_0"), val = tensor([1, 13, 65536])]; + tensor x_537_end_mask_0 = const()[name = tensor("x_537_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_537_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63128384)))]; + tensor 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("op_3015_cast_fp16")]; + tensor s_393_cast_fp16 = sin(x = var_3015_cast_fp16)[name = tensor("s_393_cast_fp16")]; + tensor var_3019_to_fp16 = const()[name = tensor("op_3019_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63128512)))]; + tensor var_3022_cast_fp16 = mul(x = var_3019_to_fp16, y = s_393_cast_fp16)[name = tensor("op_3022_cast_fp16")]; + tensor var_3023_cast_fp16 = mul(x = var_3022_cast_fp16, y = s_393_cast_fp16)[name = tensor("op_3023_cast_fp16")]; + tensor s_395_cast_fp16 = add(x = x_537_cast_fp16, y = var_3023_cast_fp16)[name = tensor("s_395_cast_fp16")]; + tensor input_359_begin_0 = const()[name = tensor("input_359_begin_0"), val = tensor([0, 13, 0])]; + tensor input_359_end_0 = const()[name = tensor("input_359_end_0"), val = tensor([1, 27, 65536])]; + tensor input_359_end_mask_0 = const()[name = tensor("input_359_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_359_cast_fp16")]; + tensor l_185_cast_fp16 = leaky_relu(alpha = var_25, x = input_359_cast_fp16)[name = tensor("l_185_cast_fp16")]; + tensor input_361_interleave_0 = const()[name = tensor("input_361_interleave_0"), val = tensor(false)]; + tensor input_361_cast_fp16 = concat(axis = var_30, interleave = input_361_interleave_0, values = (s_395_cast_fp16, l_185_cast_fp16))[name = tensor("input_361_cast_fp16")]; + tensor x_539_pad_0 = const()[name = tensor("x_539_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_539_mode_0 = const()[name = tensor("x_539_mode_0"), val = tensor("constant")]; + tensor const_88_to_fp16 = const()[name = tensor("const_88_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_539_cast_fp16")]; + tensor h_87_pad_type_0 = const()[name = tensor("h_87_pad_type_0"), val = tensor("valid")]; + tensor h_87_strides_0 = const()[name = tensor("h_87_strides_0"), val = tensor([1])]; + tensor h_87_pad_0 = const()[name = tensor("h_87_pad_0"), val = tensor([0, 0])]; + tensor h_87_dilations_0 = const()[name = tensor("h_87_dilations_0"), val = tensor([1])]; + tensor h_87_groups_0 = const()[name = tensor("h_87_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63128640)))]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63144768)))]; + tensor 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("h_87_cast_fp16")]; + tensor x_541_cast_fp16 = add(x = x_529_cast_fp16, y = h_87_cast_fp16)[name = tensor("x_541_cast_fp16")]; + tensor x_543_begin_0 = const()[name = tensor("x_543_begin_0"), val = tensor([0, 0, 0])]; + tensor x_543_end_0 = const()[name = tensor("x_543_end_0"), val = tensor([1, 13, 65536])]; + tensor x_543_end_mask_0 = const()[name = tensor("x_543_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_543_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63144896)))]; + tensor 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("op_3048_cast_fp16")]; + tensor s_397_cast_fp16 = sin(x = var_3048_cast_fp16)[name = tensor("s_397_cast_fp16")]; + tensor var_3052_to_fp16 = const()[name = tensor("op_3052_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63145024)))]; + tensor var_3055_cast_fp16 = mul(x = var_3052_to_fp16, y = s_397_cast_fp16)[name = tensor("op_3055_cast_fp16")]; + tensor var_3056_cast_fp16 = mul(x = var_3055_cast_fp16, y = s_397_cast_fp16)[name = tensor("op_3056_cast_fp16")]; + tensor s_399_cast_fp16 = add(x = x_543_cast_fp16, y = var_3056_cast_fp16)[name = tensor("s_399_cast_fp16")]; + tensor input_363_begin_0 = const()[name = tensor("input_363_begin_0"), val = tensor([0, 13, 0])]; + tensor input_363_end_0 = const()[name = tensor("input_363_end_0"), val = tensor([1, 27, 65536])]; + tensor input_363_end_mask_0 = const()[name = tensor("input_363_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_363_cast_fp16")]; + tensor l_187_cast_fp16 = leaky_relu(alpha = var_25, x = input_363_cast_fp16)[name = tensor("l_187_cast_fp16")]; + tensor input_365_interleave_0 = const()[name = tensor("input_365_interleave_0"), val = tensor(false)]; + tensor input_365_cast_fp16 = concat(axis = var_30, interleave = input_365_interleave_0, values = (s_399_cast_fp16, l_187_cast_fp16))[name = tensor("input_365_cast_fp16")]; + tensor x_545_pad_0 = const()[name = tensor("x_545_pad_0"), val = tensor([0, 0, 0, 0, 50, 0])]; + tensor x_545_mode_0 = const()[name = tensor("x_545_mode_0"), val = tensor("constant")]; + tensor const_89_to_fp16 = const()[name = tensor("const_89_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_545_cast_fp16")]; + tensor x_547_pad_type_0 = const()[name = tensor("x_547_pad_type_0"), val = tensor("valid")]; + tensor x_547_dilations_0 = const()[name = tensor("x_547_dilations_0"), val = tensor([5])]; + tensor x_547_strides_0 = const()[name = tensor("x_547_strides_0"), val = tensor([1])]; + tensor x_547_pad_0 = const()[name = tensor("x_547_pad_0"), val = tensor([0, 0])]; + tensor x_547_groups_0 = const()[name = tensor("x_547_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63145152)))]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63161280)))]; + tensor 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("x_547_cast_fp16")]; + tensor x_549_begin_0 = const()[name = tensor("x_549_begin_0"), val = tensor([0, 0, 0])]; + tensor x_549_end_0 = const()[name = tensor("x_549_end_0"), val = tensor([1, 13, 65536])]; + tensor x_549_end_mask_0 = const()[name = tensor("x_549_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_549_cast_fp16")]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63161408)))]; + tensor 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("op_3076_cast_fp16")]; + tensor s_401_cast_fp16 = sin(x = var_3076_cast_fp16)[name = tensor("s_401_cast_fp16")]; + tensor var_3080_to_fp16 = const()[name = tensor("op_3080_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63161536)))]; + tensor var_3083_cast_fp16 = mul(x = var_3080_to_fp16, y = s_401_cast_fp16)[name = tensor("op_3083_cast_fp16")]; + tensor var_3084_cast_fp16 = mul(x = var_3083_cast_fp16, y = s_401_cast_fp16)[name = tensor("op_3084_cast_fp16")]; + tensor s_403_cast_fp16 = add(x = x_549_cast_fp16, y = var_3084_cast_fp16)[name = tensor("s_403_cast_fp16")]; + tensor input_367_begin_0 = const()[name = tensor("input_367_begin_0"), val = tensor([0, 13, 0])]; + tensor input_367_end_0 = const()[name = tensor("input_367_end_0"), val = tensor([1, 27, 65536])]; + tensor input_367_end_mask_0 = const()[name = tensor("input_367_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_367_cast_fp16")]; + tensor l_189_cast_fp16 = leaky_relu(alpha = var_25, x = input_367_cast_fp16)[name = tensor("l_189_cast_fp16")]; + tensor input_369_interleave_0 = const()[name = tensor("input_369_interleave_0"), val = tensor(false)]; + tensor input_369_cast_fp16 = concat(axis = var_30, interleave = input_369_interleave_0, values = (s_403_cast_fp16, l_189_cast_fp16))[name = tensor("input_369_cast_fp16")]; + tensor x_551_pad_0 = const()[name = tensor("x_551_pad_0"), val = tensor([0, 0, 0, 0, 10, 0])]; + tensor x_551_mode_0 = const()[name = tensor("x_551_mode_0"), val = tensor("constant")]; + tensor const_90_to_fp16 = const()[name = tensor("const_90_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_551_cast_fp16")]; + tensor h_pad_type_0 = const()[name = tensor("h_pad_type_0"), val = tensor("valid")]; + tensor h_strides_0 = const()[name = tensor("h_strides_0"), val = tensor([1])]; + tensor h_pad_0 = const()[name = tensor("h_pad_0"), val = tensor([0, 0])]; + tensor h_dilations_0 = const()[name = tensor("h_dilations_0"), val = tensor([1])]; + tensor h_groups_0 = const()[name = tensor("h_groups_0"), val = tensor(1)]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63161664)))]; + tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16 = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63177792)))]; + tensor 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("h_cast_fp16")]; + tensor o_cast_fp16 = add(x = x_541_cast_fp16, y = h_cast_fp16)[name = tensor("o_cast_fp16")]; + tensor s_407_cast_fp16 = add(x = s_405_cast_fp16, y = o_17_cast_fp16)[name = tensor("s_407_cast_fp16")]; + tensor s_409_cast_fp16 = add(x = s_407_cast_fp16, y = o_cast_fp16)[name = tensor("s_409_cast_fp16")]; + tensor _inversed_x_553_y_0_to_fp16 = const()[name = tensor("_inversed_x_553_y_0_to_fp16"), val = tensor(0x1.554p-2)]; + tensor _inversed_x_553_cast_fp16 = mul(x = s_409_cast_fp16, y = _inversed_x_553_y_0_to_fp16)[name = tensor("_inversed_x_553_cast_fp16")]; + tensor x_555_begin_0 = const()[name = tensor("x_555_begin_0"), val = tensor([0, 0, 0])]; + tensor x_555_end_0 = const()[name = tensor("x_555_end_0"), val = tensor([1, 13, 65536])]; + tensor x_555_end_mask_0 = const()[name = tensor("x_555_end_mask_0"), val = tensor([true, false, true])]; + tensor 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("x_555_cast_fp16")]; + tensor m_decoder_post_activation_snake_act_alpha_to_fp16 = const()[name = tensor("m_decoder_post_activation_snake_act_alpha_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63177920)))]; + tensor var_3109_cast_fp16 = mul(x = m_decoder_post_activation_snake_act_alpha_to_fp16, y = x_555_cast_fp16)[name = tensor("op_3109_cast_fp16")]; + tensor s_411_cast_fp16 = sin(x = var_3109_cast_fp16)[name = tensor("s_411_cast_fp16")]; + tensor var_3113_to_fp16 = const()[name = tensor("op_3113_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63178048)))]; + tensor var_3116_cast_fp16 = mul(x = var_3113_to_fp16, y = s_411_cast_fp16)[name = tensor("op_3116_cast_fp16")]; + tensor var_3117_cast_fp16 = mul(x = var_3116_cast_fp16, y = s_411_cast_fp16)[name = tensor("op_3117_cast_fp16")]; + tensor s_cast_fp16 = add(x = x_555_cast_fp16, y = var_3117_cast_fp16)[name = tensor("s_cast_fp16")]; + tensor input_371_begin_0 = const()[name = tensor("input_371_begin_0"), val = tensor([0, 13, 0])]; + tensor input_371_end_0 = const()[name = tensor("input_371_end_0"), val = tensor([1, 27, 65536])]; + tensor input_371_end_mask_0 = const()[name = tensor("input_371_end_mask_0"), val = tensor([true, true, true])]; + tensor 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("input_371_cast_fp16")]; + tensor l_cast_fp16 = leaky_relu(alpha = var_25, x = input_371_cast_fp16)[name = tensor("l_cast_fp16")]; + tensor input_interleave_0 = const()[name = tensor("input_interleave_0"), val = tensor(false)]; + tensor input_cast_fp16 = concat(axis = var_30, interleave = input_interleave_0, values = (s_cast_fp16, l_cast_fp16))[name = tensor("input_cast_fp16")]; + tensor x_557_pad_0 = const()[name = tensor("x_557_pad_0"), val = tensor([0, 0, 0, 0, 2, 0])]; + tensor x_557_mode_0 = const()[name = tensor("x_557_mode_0"), val = tensor("constant")]; + tensor const_91_to_fp16 = const()[name = tensor("const_91_to_fp16"), val = tensor(0x0p+0)]; + tensor 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("x_557_cast_fp16")]; + tensor x_559_pad_type_0 = const()[name = tensor("x_559_pad_type_0"), val = tensor("valid")]; + tensor x_559_strides_0 = const()[name = tensor("x_559_strides_0"), val = tensor([1])]; + tensor x_559_pad_0 = const()[name = tensor("x_559_pad_0"), val = tensor([0, 0])]; + tensor x_559_dilations_0 = const()[name = tensor("x_559_dilations_0"), val = tensor([1])]; + tensor x_559_groups_0 = const()[name = tensor("x_559_groups_0"), val = tensor(1)]; + tensor m_decoder_post_conv_weight_to_fp16 = const()[name = tensor("m_decoder_post_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63178176)))]; + tensor m_decoder_post_conv_bias_to_fp16 = const()[name = tensor("m_decoder_post_conv_bias_to_fp16"), val = tensor([0x1.0d4p-4])]; + tensor 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("x_559_cast_fp16")]; + tensor var_5_to_fp16 = const()[name = tensor("op_5_to_fp16"), val = tensor(-0x1p+0)]; + tensor var_4_to_fp16 = const()[name = tensor("op_4_to_fp16"), val = tensor(0x1p+0)]; + tensor clip_0_cast_fp16 = clip(alpha = var_5_to_fp16, beta = var_4_to_fp16, x = x_559_cast_fp16)[name = tensor("clip_0_cast_fp16")]; + tensor var_3134_axes_0 = const()[name = tensor("op_3134_axes_0"), val = tensor([1])]; + tensor var_3134_cast_fp16 = squeeze(axes = var_3134_axes_0, x = clip_0_cast_fp16)[name = tensor("op_3134_cast_fp16")]; + tensor var_3134_cast_fp16_to_fp32_dtype_0 = const()[name = tensor("op_3134_cast_fp16_to_fp32_dtype_0"), val = tensor("fp32")]; + tensor audio = cast(dtype = var_3134_cast_fp16_to_fp32_dtype_0, x = var_3134_cast_fp16)[name = tensor("cast_10")]; + } -> (audio); +} \ No newline at end of file