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 m_decoder_pre_conv_bias = const()[name = tensor("m_decoder_pre_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(64)))]; tensor m_decoder_pre_conv_weight = const()[name = tensor("m_decoder_pre_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3584)))]; tensor m_decoder_activations_0_snake_act_alpha = const()[name = tensor("m_decoder_activations_0_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(777792)))]; tensor m_decoder_up_sample_conv_layers_0_bias = const()[name = tensor("m_decoder_up_sample_conv_layers_0_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(779584)))]; tensor m_decoder_up_sample_conv_layers_0_weight = const()[name = tensor("m_decoder_up_sample_conv_layers_0_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(781376)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(836736)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(837696)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(839488)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3079040)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3080000)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3081792)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5321344)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5322304)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5324096)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7563648)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7564608)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7566400)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9805952)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9806912)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9808704)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12048256)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12049216)))]; tensor m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12051008)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14290560)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14291520)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14293312)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19518848)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19519808)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19521600)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(24747136)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(24748096)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(24749888)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(29975424)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(29976384)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(29978176)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35203712)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35204672)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35206464)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40432000)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40432960)))]; tensor m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40434752)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(45660288)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(45661248)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(45663040)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53874560)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53875520)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53877312)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62088832)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62089792)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(62091584)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(70303104)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(70304064)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(70305856)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(78517376)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(78518336)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(78520128)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(86731648)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(86732608)))]; tensor m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(86734400)))]; tensor m_decoder_activations_1_snake_act_alpha = const()[name = tensor("m_decoder_activations_1_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(94945920)))]; tensor m_decoder_up_sample_conv_layers_1_bias = const()[name = tensor("m_decoder_up_sample_conv_layers_1_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(94946880)))]; tensor m_decoder_up_sample_conv_layers_1_weight = const()[name = tensor("m_decoder_up_sample_conv_layers_1_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(94947840)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(94975552)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(94976064)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(94977024)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(95536960)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(95537472)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(95538432)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(96098368)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(96098880)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(96099840)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(96659776)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(96660288)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(96661248)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(97221184)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(97221696)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(97222656)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(97782592)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(97783104)))]; tensor m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(97784064)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(98344000)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(98344512)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(98345472)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(99651904)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(99652416)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(99653376)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(100959808)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(100960320)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(100961280)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(102267712)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(102268224)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(102269184)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(103575616)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(103576128)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(103577088)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(104883520)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(104884032)))]; tensor m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(104884992)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(106191424)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(106191936)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(106192896)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(108245824)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(108246336)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(108247296)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(110300224)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(110300736)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(110301696)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(112354624)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(112355136)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(112356096)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(114409024)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(114409536)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(114410496)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(116463424)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(116463936)))]; tensor m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(116464896)))]; tensor m_decoder_activations_2_snake_act_alpha = const()[name = tensor("m_decoder_activations_2_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118517824)))]; tensor m_decoder_up_sample_conv_layers_2_bias = const()[name = tensor("m_decoder_up_sample_conv_layers_2_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118518336)))]; tensor m_decoder_up_sample_conv_layers_2_weight = const()[name = tensor("m_decoder_up_sample_conv_layers_2_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118518848)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118525824)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118526144)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118526656)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118666688)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118667008)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118667520)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118807552)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118807872)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118808384)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118948416)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118948736)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118949248)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(119089280)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(119089600)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(119090112)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(119230144)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(119230464)))]; tensor m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(119230976)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(119371008)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(119371328)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(119371840)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(119698496)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(119698816)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(119699328)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(120025984)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(120026304)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(120026816)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(120353472)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(120353792)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(120354304)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(120680960)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(120681280)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(120681792)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(121008448)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(121008768)))]; tensor m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(121009280)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(121335936)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(121336256)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(121336768)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(121850048)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(121850368)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(121850880)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(122364160)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(122364480)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(122364992)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(122878272)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(122878592)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(122879104)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(123392384)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(123392704)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(123393216)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(123906496)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(123906816)))]; tensor m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(123907328)))]; tensor m_decoder_activations_3_snake_act_alpha = const()[name = tensor("m_decoder_activations_3_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124420608)))]; tensor m_decoder_up_sample_conv_layers_3_bias = const()[name = tensor("m_decoder_up_sample_conv_layers_3_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124420928)))]; tensor m_decoder_up_sample_conv_layers_3_weight = const()[name = tensor("m_decoder_up_sample_conv_layers_3_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124421248)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124423040)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124423232)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124423552)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124458624)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124458816)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124459136)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124494208)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124494400)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124494720)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124529792)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124529984)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124530304)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124565376)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124565568)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124565888)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124600960)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124601152)))]; tensor m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124601472)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124636544)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124636736)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124637056)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124718784)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124718976)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124719296)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124801024)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124801216)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124801536)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124883264)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124883456)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124883776)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124965504)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124965696)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(124966016)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125047744)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125047936)))]; tensor m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125048256)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125129984)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125130176)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125130496)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125258880)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125259072)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125259392)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125387776)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125387968)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125388288)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125516672)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125516864)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125517184)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125645568)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125645760)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125646080)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125774464)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125774656)))]; tensor m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125774976)))]; tensor m_decoder_activations_4_snake_act_alpha = const()[name = tensor("m_decoder_activations_4_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125903360)))]; tensor m_decoder_up_sample_conv_layers_4_bias = const()[name = tensor("m_decoder_up_sample_conv_layers_4_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125903552)))]; tensor m_decoder_up_sample_conv_layers_4_weight = const()[name = tensor("m_decoder_up_sample_conv_layers_4_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125903744)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125904704)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125904832)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125905024)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125913856)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125913984)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125914176)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125923008)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125923136)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125923328)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125932160)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125932288)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125932480)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125941312)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125941440)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125941632)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125950464)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125950592)))]; tensor m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125950784)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125959616)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125959744)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125959936)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125980416)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125980544)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(125980736)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126001216)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126001344)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126001536)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126022016)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126022144)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126022336)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126042816)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126042944)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126043136)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126063616)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126063744)))]; tensor m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126063936)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126084416)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126084544)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126084736)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126116928)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126117056)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126117248)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126149440)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126149568)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126149760)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126181952)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126182080)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126182272)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126214464)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126214592)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126214784)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126246976)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_bias = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_bias"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126247104)))]; tensor m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_weight = const()[name = tensor("m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126247296)))]; tensor m_decoder_post_activation_snake_act_alpha = const()[name = tensor("m_decoder_post_activation_snake_act_alpha"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126279488)))]; tensor m_decoder_post_conv_bias = const()[name = tensor("m_decoder_post_conv_bias"), val = tensor([0x1.0d3306p-4])]; tensor m_decoder_post_conv_weight = const()[name = tensor("m_decoder_post_conv_weight"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126279616)))]; tensor var_4 = const()[name = tensor("op_4"), val = tensor(0x1p+0)]; tensor var_5 = const()[name = tensor("op_5"), val = tensor(-0x1p+0)]; 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 const_0 = const()[name = tensor("const_0"), val = tensor(0x0p+0)]; 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 x_1 = pad(constant_val = const_0, mode = x_1_mode_0, pad = x_1_pad_0, x = latents)[name = tensor("x_1")]; 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 x_3 = conv(bias = m_decoder_pre_conv_bias, 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, x = x_1)[name = tensor("x_3")]; 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 = slice_by_index(begin = x_5_begin_0, end = x_5_end_0, end_mask = x_5_end_mask_0, x = x_3)[name = tensor("x_5")]; tensor var_79 = mul(x = m_decoder_activations_0_snake_act_alpha, y = x_5)[name = tensor("op_79")]; tensor s_1 = sin(x = var_79)[name = tensor("s_1")]; tensor var_83 = const()[name = tensor("op_83"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126280064)))]; tensor var_86 = mul(x = var_83, y = s_1)[name = tensor("op_86")]; tensor var_87 = mul(x = var_86, y = s_1)[name = tensor("op_87")]; tensor s_3 = add(x = x_5, y = var_87)[name = tensor("s_3")]; 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 = slice_by_index(begin = input_1_begin_0, end = input_1_end_0, end_mask = input_1_end_mask_0, x = x_3)[name = tensor("input_1")]; tensor l_1 = leaky_relu(alpha = var_25, x = input_1)[name = tensor("l_1")]; tensor x_7_interleave_0 = const()[name = tensor("x_7_interleave_0"), val = tensor(false)]; tensor x_7 = concat(axis = var_30, interleave = x_7_interleave_0, values = (s_3, l_1))[name = tensor("x_7")]; 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 y_1_has_output_shape = conv_transpose(bias = m_decoder_up_sample_conv_layers_0_bias, 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, x = x_7)[name = tensor("y_1_has_output_shape")]; 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 = 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)[name = tensor("x_9")]; 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 = slice_by_index(begin = x_11_begin_0, end = x_11_end_0, end_mask = x_11_end_mask_0, x = x_9)[name = tensor("x_11")]; tensor var_124 = mul(x = m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha, y = x_11)[name = tensor("op_124")]; tensor s_5 = sin(x = var_124)[name = tensor("s_5")]; tensor var_128 = const()[name = tensor("op_128"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126281856)))]; tensor var_131 = mul(x = var_128, y = s_5)[name = tensor("op_131")]; tensor var_132 = mul(x = var_131, y = s_5)[name = tensor("op_132")]; tensor s_7 = add(x = x_11, y = var_132)[name = tensor("s_7")]; 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 = slice_by_index(begin = input_3_begin_0, end = input_3_end_0, end_mask = input_3_end_mask_0, x = x_9)[name = tensor("input_3")]; tensor l_3 = leaky_relu(alpha = var_25, x = input_3)[name = tensor("l_3")]; tensor input_5_interleave_0 = const()[name = tensor("input_5_interleave_0"), val = tensor(false)]; tensor input_5 = concat(axis = var_30, interleave = input_5_interleave_0, values = (s_7, l_3))[name = tensor("input_5")]; tensor const_1 = const()[name = tensor("const_1"), val = tensor(0x0p+0)]; 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 x_13 = pad(constant_val = const_1, mode = x_13_mode_0, pad = x_13_pad_0, x = input_5)[name = tensor("x_13")]; 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 x_15 = conv(bias = m_decoder_res_layers_0_res_blocks_0_res_blocks_0_input_conv_bias, 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, x = x_13)[name = tensor("x_15")]; 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 = slice_by_index(begin = x_17_begin_0, end = x_17_end_0, end_mask = x_17_end_mask_0, x = x_15)[name = tensor("x_17")]; tensor var_152 = mul(x = m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha, y = x_17)[name = tensor("op_152")]; tensor s_9 = sin(x = var_152)[name = tensor("s_9")]; tensor var_156 = const()[name = tensor("op_156"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126282816)))]; tensor var_159 = mul(x = var_156, y = s_9)[name = tensor("op_159")]; tensor var_160 = mul(x = var_159, y = s_9)[name = tensor("op_160")]; tensor s_11 = add(x = x_17, y = var_160)[name = tensor("s_11")]; 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 = slice_by_index(begin = input_7_begin_0, end = input_7_end_0, end_mask = input_7_end_mask_0, x = x_15)[name = tensor("input_7")]; tensor l_5 = leaky_relu(alpha = var_25, x = input_7)[name = tensor("l_5")]; tensor input_9_interleave_0 = const()[name = tensor("input_9_interleave_0"), val = tensor(false)]; tensor input_9 = concat(axis = var_30, interleave = input_9_interleave_0, values = (s_11, l_5))[name = tensor("input_9")]; tensor const_2 = const()[name = tensor("const_2"), val = tensor(0x0p+0)]; 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 x_19 = pad(constant_val = const_2, mode = x_19_mode_0, pad = x_19_pad_0, x = input_9)[name = tensor("x_19")]; 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 h_1 = conv(bias = m_decoder_res_layers_0_res_blocks_0_res_blocks_0_skip_conv_bias, 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, x = x_19)[name = tensor("h_1")]; tensor x_21 = add(x = x_9, y = h_1)[name = tensor("x_21")]; 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 = slice_by_index(begin = x_23_begin_0, end = x_23_end_0, end_mask = x_23_end_mask_0, x = x_21)[name = tensor("x_23")]; tensor var_185 = mul(x = m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha, y = x_23)[name = tensor("op_185")]; tensor s_13 = sin(x = var_185)[name = tensor("s_13")]; tensor var_189 = const()[name = tensor("op_189"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126283776)))]; tensor var_192 = mul(x = var_189, y = s_13)[name = tensor("op_192")]; tensor var_193 = mul(x = var_192, y = s_13)[name = tensor("op_193")]; tensor s_15 = add(x = x_23, y = var_193)[name = tensor("s_15")]; 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 = slice_by_index(begin = input_11_begin_0, end = input_11_end_0, end_mask = input_11_end_mask_0, x = x_21)[name = tensor("input_11")]; tensor l_7 = leaky_relu(alpha = var_25, x = input_11)[name = tensor("l_7")]; tensor input_13_interleave_0 = const()[name = tensor("input_13_interleave_0"), val = tensor(false)]; tensor input_13 = concat(axis = var_30, interleave = input_13_interleave_0, values = (s_15, l_7))[name = tensor("input_13")]; tensor const_3 = const()[name = tensor("const_3"), val = tensor(0x0p+0)]; 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 x_25 = pad(constant_val = const_3, mode = x_25_mode_0, pad = x_25_pad_0, x = input_13)[name = tensor("x_25")]; 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 x_27 = conv(bias = m_decoder_res_layers_0_res_blocks_0_res_blocks_1_input_conv_bias, 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, x = x_25)[name = tensor("x_27")]; 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 = slice_by_index(begin = x_29_begin_0, end = x_29_end_0, end_mask = x_29_end_mask_0, x = x_27)[name = tensor("x_29")]; tensor var_213 = mul(x = m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha, y = x_29)[name = tensor("op_213")]; tensor s_17 = sin(x = var_213)[name = tensor("s_17")]; tensor var_217 = const()[name = tensor("op_217"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126284736)))]; tensor var_220 = mul(x = var_217, y = s_17)[name = tensor("op_220")]; tensor var_221 = mul(x = var_220, y = s_17)[name = tensor("op_221")]; tensor s_19 = add(x = x_29, y = var_221)[name = tensor("s_19")]; 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 = slice_by_index(begin = input_15_begin_0, end = input_15_end_0, end_mask = input_15_end_mask_0, x = x_27)[name = tensor("input_15")]; tensor l_9 = leaky_relu(alpha = var_25, x = input_15)[name = tensor("l_9")]; tensor input_17_interleave_0 = const()[name = tensor("input_17_interleave_0"), val = tensor(false)]; tensor input_17 = concat(axis = var_30, interleave = input_17_interleave_0, values = (s_19, l_9))[name = tensor("input_17")]; tensor const_4 = const()[name = tensor("const_4"), val = tensor(0x0p+0)]; 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 x_31 = pad(constant_val = const_4, mode = x_31_mode_0, pad = x_31_pad_0, x = input_17)[name = tensor("x_31")]; 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 h_3 = conv(bias = m_decoder_res_layers_0_res_blocks_0_res_blocks_1_skip_conv_bias, 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, x = x_31)[name = tensor("h_3")]; tensor x_33 = add(x = x_21, y = h_3)[name = tensor("x_33")]; 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 = slice_by_index(begin = x_35_begin_0, end = x_35_end_0, end_mask = x_35_end_mask_0, x = x_33)[name = tensor("x_35")]; tensor var_246 = mul(x = m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha, y = x_35)[name = tensor("op_246")]; tensor s_21 = sin(x = var_246)[name = tensor("s_21")]; tensor var_250 = const()[name = tensor("op_250"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126285696)))]; tensor var_253 = mul(x = var_250, y = s_21)[name = tensor("op_253")]; tensor var_254 = mul(x = var_253, y = s_21)[name = tensor("op_254")]; tensor s_23 = add(x = x_35, y = var_254)[name = tensor("s_23")]; 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 = slice_by_index(begin = input_19_begin_0, end = input_19_end_0, end_mask = input_19_end_mask_0, x = x_33)[name = tensor("input_19")]; tensor l_11 = leaky_relu(alpha = var_25, x = input_19)[name = tensor("l_11")]; tensor input_21_interleave_0 = const()[name = tensor("input_21_interleave_0"), val = tensor(false)]; tensor input_21 = concat(axis = var_30, interleave = input_21_interleave_0, values = (s_23, l_11))[name = tensor("input_21")]; tensor const_5 = const()[name = tensor("const_5"), val = tensor(0x0p+0)]; 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 x_37 = pad(constant_val = const_5, mode = x_37_mode_0, pad = x_37_pad_0, x = input_21)[name = tensor("x_37")]; 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 x_39 = conv(bias = m_decoder_res_layers_0_res_blocks_0_res_blocks_2_input_conv_bias, 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, x = x_37)[name = tensor("x_39")]; 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 = slice_by_index(begin = x_41_begin_0, end = x_41_end_0, end_mask = x_41_end_mask_0, x = x_39)[name = tensor("x_41")]; tensor var_274 = mul(x = m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha, y = x_41)[name = tensor("op_274")]; tensor s_25 = sin(x = var_274)[name = tensor("s_25")]; tensor var_278 = const()[name = tensor("op_278"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126286656)))]; tensor var_281 = mul(x = var_278, y = s_25)[name = tensor("op_281")]; tensor var_282 = mul(x = var_281, y = s_25)[name = tensor("op_282")]; tensor s_27 = add(x = x_41, y = var_282)[name = tensor("s_27")]; 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 = slice_by_index(begin = input_23_begin_0, end = input_23_end_0, end_mask = input_23_end_mask_0, x = x_39)[name = tensor("input_23")]; tensor l_13 = leaky_relu(alpha = var_25, x = input_23)[name = tensor("l_13")]; tensor input_25_interleave_0 = const()[name = tensor("input_25_interleave_0"), val = tensor(false)]; tensor input_25 = concat(axis = var_30, interleave = input_25_interleave_0, values = (s_27, l_13))[name = tensor("input_25")]; tensor const_6 = const()[name = tensor("const_6"), val = tensor(0x0p+0)]; 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 x_43 = pad(constant_val = const_6, mode = x_43_mode_0, pad = x_43_pad_0, x = input_25)[name = tensor("x_43")]; 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 h_5 = conv(bias = m_decoder_res_layers_0_res_blocks_0_res_blocks_2_skip_conv_bias, 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, x = x_43)[name = tensor("h_5")]; tensor s_77 = add(x = x_33, y = h_5)[name = tensor("s_77")]; tensor var_313 = mul(x = m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha, y = x_11)[name = tensor("op_313")]; tensor s_29 = sin(x = var_313)[name = tensor("s_29")]; tensor var_317 = const()[name = tensor("op_317"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126287616)))]; tensor var_320 = mul(x = var_317, y = s_29)[name = tensor("op_320")]; tensor var_321 = mul(x = var_320, y = s_29)[name = tensor("op_321")]; tensor s_31 = add(x = x_11, y = var_321)[name = tensor("s_31")]; tensor input_29_interleave_0 = const()[name = tensor("input_29_interleave_0"), val = tensor(false)]; tensor input_29 = concat(axis = var_30, interleave = input_29_interleave_0, values = (s_31, l_3))[name = tensor("input_29")]; tensor const_7 = const()[name = tensor("const_7"), val = tensor(0x0p+0)]; 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 x_47 = pad(constant_val = const_7, mode = x_47_mode_0, pad = x_47_pad_0, x = input_29)[name = tensor("x_47")]; 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 x_49 = conv(bias = m_decoder_res_layers_0_res_blocks_1_res_blocks_0_input_conv_bias, 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, x = x_47)[name = tensor("x_49")]; 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 = slice_by_index(begin = x_51_begin_0, end = x_51_end_0, end_mask = x_51_end_mask_0, x = x_49)[name = tensor("x_51")]; tensor var_341 = mul(x = m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha, y = x_51)[name = tensor("op_341")]; tensor s_33 = sin(x = var_341)[name = tensor("s_33")]; tensor var_345 = const()[name = tensor("op_345"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126288576)))]; tensor var_348 = mul(x = var_345, y = s_33)[name = tensor("op_348")]; tensor var_349 = mul(x = var_348, y = s_33)[name = tensor("op_349")]; tensor s_35 = add(x = x_51, y = var_349)[name = tensor("s_35")]; 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 = slice_by_index(begin = input_31_begin_0, end = input_31_end_0, end_mask = input_31_end_mask_0, x = x_49)[name = tensor("input_31")]; tensor l_17 = leaky_relu(alpha = var_25, x = input_31)[name = tensor("l_17")]; tensor input_33_interleave_0 = const()[name = tensor("input_33_interleave_0"), val = tensor(false)]; tensor input_33 = concat(axis = var_30, interleave = input_33_interleave_0, values = (s_35, l_17))[name = tensor("input_33")]; tensor const_8 = const()[name = tensor("const_8"), val = tensor(0x0p+0)]; 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 x_53 = pad(constant_val = const_8, mode = x_53_mode_0, pad = x_53_pad_0, x = input_33)[name = tensor("x_53")]; 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 h_7 = conv(bias = m_decoder_res_layers_0_res_blocks_1_res_blocks_0_skip_conv_bias, 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, x = x_53)[name = tensor("h_7")]; tensor x_55 = add(x = x_9, y = h_7)[name = tensor("x_55")]; 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 = slice_by_index(begin = x_57_begin_0, end = x_57_end_0, end_mask = x_57_end_mask_0, x = x_55)[name = tensor("x_57")]; tensor var_374 = mul(x = m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha, y = x_57)[name = tensor("op_374")]; tensor s_37 = sin(x = var_374)[name = tensor("s_37")]; tensor var_378 = const()[name = tensor("op_378"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126289536)))]; tensor var_381 = mul(x = var_378, y = s_37)[name = tensor("op_381")]; tensor var_382 = mul(x = var_381, y = s_37)[name = tensor("op_382")]; tensor s_39 = add(x = x_57, y = var_382)[name = tensor("s_39")]; 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 = slice_by_index(begin = input_35_begin_0, end = input_35_end_0, end_mask = input_35_end_mask_0, x = x_55)[name = tensor("input_35")]; tensor l_19 = leaky_relu(alpha = var_25, x = input_35)[name = tensor("l_19")]; tensor input_37_interleave_0 = const()[name = tensor("input_37_interleave_0"), val = tensor(false)]; tensor input_37 = concat(axis = var_30, interleave = input_37_interleave_0, values = (s_39, l_19))[name = tensor("input_37")]; tensor const_9 = const()[name = tensor("const_9"), val = tensor(0x0p+0)]; 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 x_59 = pad(constant_val = const_9, mode = x_59_mode_0, pad = x_59_pad_0, x = input_37)[name = tensor("x_59")]; 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 x_61 = conv(bias = m_decoder_res_layers_0_res_blocks_1_res_blocks_1_input_conv_bias, 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, x = x_59)[name = tensor("x_61")]; 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 = slice_by_index(begin = x_63_begin_0, end = x_63_end_0, end_mask = x_63_end_mask_0, x = x_61)[name = tensor("x_63")]; tensor var_402 = mul(x = m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha, y = x_63)[name = tensor("op_402")]; tensor s_41 = sin(x = var_402)[name = tensor("s_41")]; tensor var_406 = const()[name = tensor("op_406"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126290496)))]; tensor var_409 = mul(x = var_406, y = s_41)[name = tensor("op_409")]; tensor var_410 = mul(x = var_409, y = s_41)[name = tensor("op_410")]; tensor s_43 = add(x = x_63, y = var_410)[name = tensor("s_43")]; 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 = slice_by_index(begin = input_39_begin_0, end = input_39_end_0, end_mask = input_39_end_mask_0, x = x_61)[name = tensor("input_39")]; tensor l_21 = leaky_relu(alpha = var_25, x = input_39)[name = tensor("l_21")]; tensor input_41_interleave_0 = const()[name = tensor("input_41_interleave_0"), val = tensor(false)]; tensor input_41 = concat(axis = var_30, interleave = input_41_interleave_0, values = (s_43, l_21))[name = tensor("input_41")]; tensor const_10 = const()[name = tensor("const_10"), val = tensor(0x0p+0)]; 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 x_65 = pad(constant_val = const_10, mode = x_65_mode_0, pad = x_65_pad_0, x = input_41)[name = tensor("x_65")]; 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 h_9 = conv(bias = m_decoder_res_layers_0_res_blocks_1_res_blocks_1_skip_conv_bias, 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, x = x_65)[name = tensor("h_9")]; tensor x_67 = add(x = x_55, y = h_9)[name = tensor("x_67")]; 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 = slice_by_index(begin = x_69_begin_0, end = x_69_end_0, end_mask = x_69_end_mask_0, x = x_67)[name = tensor("x_69")]; tensor var_435 = mul(x = m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha, y = x_69)[name = tensor("op_435")]; tensor s_45 = sin(x = var_435)[name = tensor("s_45")]; tensor var_439 = const()[name = tensor("op_439"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126291456)))]; tensor var_442 = mul(x = var_439, y = s_45)[name = tensor("op_442")]; tensor var_443 = mul(x = var_442, y = s_45)[name = tensor("op_443")]; tensor s_47 = add(x = x_69, y = var_443)[name = tensor("s_47")]; 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 = slice_by_index(begin = input_43_begin_0, end = input_43_end_0, end_mask = input_43_end_mask_0, x = x_67)[name = tensor("input_43")]; tensor l_23 = leaky_relu(alpha = var_25, x = input_43)[name = tensor("l_23")]; tensor input_45_interleave_0 = const()[name = tensor("input_45_interleave_0"), val = tensor(false)]; tensor input_45 = concat(axis = var_30, interleave = input_45_interleave_0, values = (s_47, l_23))[name = tensor("input_45")]; tensor const_11 = const()[name = tensor("const_11"), val = tensor(0x0p+0)]; 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 x_71 = pad(constant_val = const_11, mode = x_71_mode_0, pad = x_71_pad_0, x = input_45)[name = tensor("x_71")]; 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 x_73 = conv(bias = m_decoder_res_layers_0_res_blocks_1_res_blocks_2_input_conv_bias, 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, x = x_71)[name = tensor("x_73")]; 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 = slice_by_index(begin = x_75_begin_0, end = x_75_end_0, end_mask = x_75_end_mask_0, x = x_73)[name = tensor("x_75")]; tensor var_463 = mul(x = m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha, y = x_75)[name = tensor("op_463")]; tensor s_49 = sin(x = var_463)[name = tensor("s_49")]; tensor var_467 = const()[name = tensor("op_467"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126292416)))]; tensor var_470 = mul(x = var_467, y = s_49)[name = tensor("op_470")]; tensor var_471 = mul(x = var_470, y = s_49)[name = tensor("op_471")]; tensor s_51 = add(x = x_75, y = var_471)[name = tensor("s_51")]; 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 = slice_by_index(begin = input_47_begin_0, end = input_47_end_0, end_mask = input_47_end_mask_0, x = x_73)[name = tensor("input_47")]; tensor l_25 = leaky_relu(alpha = var_25, x = input_47)[name = tensor("l_25")]; tensor input_49_interleave_0 = const()[name = tensor("input_49_interleave_0"), val = tensor(false)]; tensor input_49 = concat(axis = var_30, interleave = input_49_interleave_0, values = (s_51, l_25))[name = tensor("input_49")]; tensor const_12 = const()[name = tensor("const_12"), val = tensor(0x0p+0)]; 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 x_77 = pad(constant_val = const_12, mode = x_77_mode_0, pad = x_77_pad_0, x = input_49)[name = tensor("x_77")]; 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 h_11 = conv(bias = m_decoder_res_layers_0_res_blocks_1_res_blocks_2_skip_conv_bias, 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, x = x_77)[name = tensor("h_11")]; tensor o_1 = add(x = x_67, y = h_11)[name = tensor("o_1")]; tensor var_502 = mul(x = m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha, y = x_11)[name = tensor("op_502")]; tensor s_53 = sin(x = var_502)[name = tensor("s_53")]; tensor var_506 = const()[name = tensor("op_506"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126293376)))]; tensor var_509 = mul(x = var_506, y = s_53)[name = tensor("op_509")]; tensor var_510 = mul(x = var_509, y = s_53)[name = tensor("op_510")]; tensor s_55 = add(x = x_11, y = var_510)[name = tensor("s_55")]; tensor input_53_interleave_0 = const()[name = tensor("input_53_interleave_0"), val = tensor(false)]; tensor input_53 = concat(axis = var_30, interleave = input_53_interleave_0, values = (s_55, l_3))[name = tensor("input_53")]; tensor const_13 = const()[name = tensor("const_13"), val = tensor(0x0p+0)]; 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 x_81 = pad(constant_val = const_13, mode = x_81_mode_0, pad = x_81_pad_0, x = input_53)[name = tensor("x_81")]; 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 x_83 = conv(bias = m_decoder_res_layers_0_res_blocks_2_res_blocks_0_input_conv_bias, 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, x = x_81)[name = tensor("x_83")]; 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 = slice_by_index(begin = x_85_begin_0, end = x_85_end_0, end_mask = x_85_end_mask_0, x = x_83)[name = tensor("x_85")]; tensor var_530 = mul(x = m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha, y = x_85)[name = tensor("op_530")]; tensor s_57 = sin(x = var_530)[name = tensor("s_57")]; tensor var_534 = const()[name = tensor("op_534"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126294336)))]; tensor var_537 = mul(x = var_534, y = s_57)[name = tensor("op_537")]; tensor var_538 = mul(x = var_537, y = s_57)[name = tensor("op_538")]; tensor s_59 = add(x = x_85, y = var_538)[name = tensor("s_59")]; 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 = slice_by_index(begin = input_55_begin_0, end = input_55_end_0, end_mask = input_55_end_mask_0, x = x_83)[name = tensor("input_55")]; tensor l_29 = leaky_relu(alpha = var_25, x = input_55)[name = tensor("l_29")]; tensor input_57_interleave_0 = const()[name = tensor("input_57_interleave_0"), val = tensor(false)]; tensor input_57 = concat(axis = var_30, interleave = input_57_interleave_0, values = (s_59, l_29))[name = tensor("input_57")]; tensor const_14 = const()[name = tensor("const_14"), val = tensor(0x0p+0)]; 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 x_87 = pad(constant_val = const_14, mode = x_87_mode_0, pad = x_87_pad_0, x = input_57)[name = tensor("x_87")]; 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 h_13 = conv(bias = m_decoder_res_layers_0_res_blocks_2_res_blocks_0_skip_conv_bias, 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, x = x_87)[name = tensor("h_13")]; tensor x_89 = add(x = x_9, y = h_13)[name = tensor("x_89")]; 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 = slice_by_index(begin = x_91_begin_0, end = x_91_end_0, end_mask = x_91_end_mask_0, x = x_89)[name = tensor("x_91")]; tensor var_563 = mul(x = m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha, y = x_91)[name = tensor("op_563")]; tensor s_61 = sin(x = var_563)[name = tensor("s_61")]; tensor var_567 = const()[name = tensor("op_567"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126295296)))]; tensor var_570 = mul(x = var_567, y = s_61)[name = tensor("op_570")]; tensor var_571 = mul(x = var_570, y = s_61)[name = tensor("op_571")]; tensor s_63 = add(x = x_91, y = var_571)[name = tensor("s_63")]; 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 = slice_by_index(begin = input_59_begin_0, end = input_59_end_0, end_mask = input_59_end_mask_0, x = x_89)[name = tensor("input_59")]; tensor l_31 = leaky_relu(alpha = var_25, x = input_59)[name = tensor("l_31")]; tensor input_61_interleave_0 = const()[name = tensor("input_61_interleave_0"), val = tensor(false)]; tensor input_61 = concat(axis = var_30, interleave = input_61_interleave_0, values = (s_63, l_31))[name = tensor("input_61")]; tensor const_15 = const()[name = tensor("const_15"), val = tensor(0x0p+0)]; 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 x_93 = pad(constant_val = const_15, mode = x_93_mode_0, pad = x_93_pad_0, x = input_61)[name = tensor("x_93")]; 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 x_95 = conv(bias = m_decoder_res_layers_0_res_blocks_2_res_blocks_1_input_conv_bias, 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, x = x_93)[name = tensor("x_95")]; 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 = slice_by_index(begin = x_97_begin_0, end = x_97_end_0, end_mask = x_97_end_mask_0, x = x_95)[name = tensor("x_97")]; tensor var_591 = mul(x = m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha, y = x_97)[name = tensor("op_591")]; tensor s_65 = sin(x = var_591)[name = tensor("s_65")]; tensor var_595 = const()[name = tensor("op_595"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126296256)))]; tensor var_598 = mul(x = var_595, y = s_65)[name = tensor("op_598")]; tensor var_599 = mul(x = var_598, y = s_65)[name = tensor("op_599")]; tensor s_67 = add(x = x_97, y = var_599)[name = tensor("s_67")]; 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 = slice_by_index(begin = input_63_begin_0, end = input_63_end_0, end_mask = input_63_end_mask_0, x = x_95)[name = tensor("input_63")]; tensor l_33 = leaky_relu(alpha = var_25, x = input_63)[name = tensor("l_33")]; tensor input_65_interleave_0 = const()[name = tensor("input_65_interleave_0"), val = tensor(false)]; tensor input_65 = concat(axis = var_30, interleave = input_65_interleave_0, values = (s_67, l_33))[name = tensor("input_65")]; tensor const_16 = const()[name = tensor("const_16"), val = tensor(0x0p+0)]; 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 x_99 = pad(constant_val = const_16, mode = x_99_mode_0, pad = x_99_pad_0, x = input_65)[name = tensor("x_99")]; 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 h_15 = conv(bias = m_decoder_res_layers_0_res_blocks_2_res_blocks_1_skip_conv_bias, 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, x = x_99)[name = tensor("h_15")]; tensor x_101 = add(x = x_89, y = h_15)[name = tensor("x_101")]; 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 = slice_by_index(begin = x_103_begin_0, end = x_103_end_0, end_mask = x_103_end_mask_0, x = x_101)[name = tensor("x_103")]; tensor var_624 = mul(x = m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha, y = x_103)[name = tensor("op_624")]; tensor s_69 = sin(x = var_624)[name = tensor("s_69")]; tensor var_628 = const()[name = tensor("op_628"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126297216)))]; tensor var_631 = mul(x = var_628, y = s_69)[name = tensor("op_631")]; tensor var_632 = mul(x = var_631, y = s_69)[name = tensor("op_632")]; tensor s_71 = add(x = x_103, y = var_632)[name = tensor("s_71")]; 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 = slice_by_index(begin = input_67_begin_0, end = input_67_end_0, end_mask = input_67_end_mask_0, x = x_101)[name = tensor("input_67")]; tensor l_35 = leaky_relu(alpha = var_25, x = input_67)[name = tensor("l_35")]; tensor input_69_interleave_0 = const()[name = tensor("input_69_interleave_0"), val = tensor(false)]; tensor input_69 = concat(axis = var_30, interleave = input_69_interleave_0, values = (s_71, l_35))[name = tensor("input_69")]; tensor const_17 = const()[name = tensor("const_17"), val = tensor(0x0p+0)]; 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 x_105 = pad(constant_val = const_17, mode = x_105_mode_0, pad = x_105_pad_0, x = input_69)[name = tensor("x_105")]; 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 x_107 = conv(bias = m_decoder_res_layers_0_res_blocks_2_res_blocks_2_input_conv_bias, 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, x = x_105)[name = tensor("x_107")]; 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 = slice_by_index(begin = x_109_begin_0, end = x_109_end_0, end_mask = x_109_end_mask_0, x = x_107)[name = tensor("x_109")]; tensor var_652 = mul(x = m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha, y = x_109)[name = tensor("op_652")]; tensor s_73 = sin(x = var_652)[name = tensor("s_73")]; tensor var_656 = const()[name = tensor("op_656"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126298176)))]; tensor var_659 = mul(x = var_656, y = s_73)[name = tensor("op_659")]; tensor var_660 = mul(x = var_659, y = s_73)[name = tensor("op_660")]; tensor s_75 = add(x = x_109, y = var_660)[name = tensor("s_75")]; 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 = slice_by_index(begin = input_71_begin_0, end = input_71_end_0, end_mask = input_71_end_mask_0, x = x_107)[name = tensor("input_71")]; tensor l_37 = leaky_relu(alpha = var_25, x = input_71)[name = tensor("l_37")]; tensor input_73_interleave_0 = const()[name = tensor("input_73_interleave_0"), val = tensor(false)]; tensor input_73 = concat(axis = var_30, interleave = input_73_interleave_0, values = (s_75, l_37))[name = tensor("input_73")]; tensor const_18 = const()[name = tensor("const_18"), val = tensor(0x0p+0)]; 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 x_111 = pad(constant_val = const_18, mode = x_111_mode_0, pad = x_111_pad_0, x = input_73)[name = tensor("x_111")]; 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 h_17 = conv(bias = m_decoder_res_layers_0_res_blocks_2_res_blocks_2_skip_conv_bias, 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, x = x_111)[name = tensor("h_17")]; tensor o_3 = add(x = x_101, y = h_17)[name = tensor("o_3")]; tensor s_79 = add(x = s_77, y = o_1)[name = tensor("s_79")]; tensor s_81 = add(x = s_79, y = o_3)[name = tensor("s_81")]; tensor _inversed_x_113_y_0 = const()[name = tensor("_inversed_x_113_y_0"), val = tensor(0x1.555556p-2)]; tensor _inversed_x_113 = mul(x = s_81, y = _inversed_x_113_y_0)[name = tensor("_inversed_x_113")]; 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 = slice_by_index(begin = x_115_begin_0, end = x_115_end_0, end_mask = x_115_end_mask_0, x = _inversed_x_113)[name = tensor("x_115")]; tensor var_685 = mul(x = m_decoder_activations_1_snake_act_alpha, y = x_115)[name = tensor("op_685")]; tensor s_83 = sin(x = var_685)[name = tensor("s_83")]; tensor var_689 = const()[name = tensor("op_689"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126299136)))]; tensor var_692 = mul(x = var_689, y = s_83)[name = tensor("op_692")]; tensor var_693 = mul(x = var_692, y = s_83)[name = tensor("op_693")]; tensor s_85 = add(x = x_115, y = var_693)[name = tensor("s_85")]; 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 = slice_by_index(begin = input_75_begin_0, end = input_75_end_0, end_mask = input_75_end_mask_0, x = _inversed_x_113)[name = tensor("input_75")]; tensor l_39 = leaky_relu(alpha = var_25, x = input_75)[name = tensor("l_39")]; tensor x_117_interleave_0 = const()[name = tensor("x_117_interleave_0"), val = tensor(false)]; tensor x_117 = concat(axis = var_30, interleave = x_117_interleave_0, values = (s_85, l_39))[name = tensor("x_117")]; 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 y_3_has_output_shape = conv_transpose(bias = m_decoder_up_sample_conv_layers_1_bias, 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, x = x_117)[name = tensor("y_3_has_output_shape")]; 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 = 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)[name = tensor("x_119")]; 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 = slice_by_index(begin = x_121_begin_0, end = x_121_end_0, end_mask = x_121_end_mask_0, x = x_119)[name = tensor("x_121")]; tensor var_730 = mul(x = m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha, y = x_121)[name = tensor("op_730")]; tensor s_87 = sin(x = var_730)[name = tensor("s_87")]; tensor var_734 = const()[name = tensor("op_734"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126300096)))]; tensor var_737 = mul(x = var_734, y = s_87)[name = tensor("op_737")]; tensor var_738 = mul(x = var_737, y = s_87)[name = tensor("op_738")]; tensor s_89 = add(x = x_121, y = var_738)[name = tensor("s_89")]; 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 = slice_by_index(begin = input_77_begin_0, end = input_77_end_0, end_mask = input_77_end_mask_0, x = x_119)[name = tensor("input_77")]; tensor l_41 = leaky_relu(alpha = var_25, x = input_77)[name = tensor("l_41")]; tensor input_79_interleave_0 = const()[name = tensor("input_79_interleave_0"), val = tensor(false)]; tensor input_79 = concat(axis = var_30, interleave = input_79_interleave_0, values = (s_89, l_41))[name = tensor("input_79")]; tensor const_19 = const()[name = tensor("const_19"), val = tensor(0x0p+0)]; 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 x_123 = pad(constant_val = const_19, mode = x_123_mode_0, pad = x_123_pad_0, x = input_79)[name = tensor("x_123")]; 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 x_125 = conv(bias = m_decoder_res_layers_1_res_blocks_0_res_blocks_0_input_conv_bias, 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, x = x_123)[name = tensor("x_125")]; 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 = slice_by_index(begin = x_127_begin_0, end = x_127_end_0, end_mask = x_127_end_mask_0, x = x_125)[name = tensor("x_127")]; tensor var_758 = mul(x = m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha, y = x_127)[name = tensor("op_758")]; tensor s_91 = sin(x = var_758)[name = tensor("s_91")]; tensor var_762 = const()[name = tensor("op_762"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126300608)))]; tensor var_765 = mul(x = var_762, y = s_91)[name = tensor("op_765")]; tensor var_766 = mul(x = var_765, y = s_91)[name = tensor("op_766")]; tensor s_93 = add(x = x_127, y = var_766)[name = tensor("s_93")]; 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 = slice_by_index(begin = input_81_begin_0, end = input_81_end_0, end_mask = input_81_end_mask_0, x = x_125)[name = tensor("input_81")]; tensor l_43 = leaky_relu(alpha = var_25, x = input_81)[name = tensor("l_43")]; tensor input_83_interleave_0 = const()[name = tensor("input_83_interleave_0"), val = tensor(false)]; tensor input_83 = concat(axis = var_30, interleave = input_83_interleave_0, values = (s_93, l_43))[name = tensor("input_83")]; tensor const_20 = const()[name = tensor("const_20"), val = tensor(0x0p+0)]; 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 x_129 = pad(constant_val = const_20, mode = x_129_mode_0, pad = x_129_pad_0, x = input_83)[name = tensor("x_129")]; 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 h_19 = conv(bias = m_decoder_res_layers_1_res_blocks_0_res_blocks_0_skip_conv_bias, 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, x = x_129)[name = tensor("h_19")]; tensor x_131 = add(x = x_119, y = h_19)[name = tensor("x_131")]; 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 = slice_by_index(begin = x_133_begin_0, end = x_133_end_0, end_mask = x_133_end_mask_0, x = x_131)[name = tensor("x_133")]; tensor var_791 = mul(x = m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha, y = x_133)[name = tensor("op_791")]; tensor s_95 = sin(x = var_791)[name = tensor("s_95")]; tensor var_795 = const()[name = tensor("op_795"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126301120)))]; tensor var_798 = mul(x = var_795, y = s_95)[name = tensor("op_798")]; tensor var_799 = mul(x = var_798, y = s_95)[name = tensor("op_799")]; tensor s_97 = add(x = x_133, y = var_799)[name = tensor("s_97")]; 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 = slice_by_index(begin = input_85_begin_0, end = input_85_end_0, end_mask = input_85_end_mask_0, x = x_131)[name = tensor("input_85")]; tensor l_45 = leaky_relu(alpha = var_25, x = input_85)[name = tensor("l_45")]; tensor input_87_interleave_0 = const()[name = tensor("input_87_interleave_0"), val = tensor(false)]; tensor input_87 = concat(axis = var_30, interleave = input_87_interleave_0, values = (s_97, l_45))[name = tensor("input_87")]; tensor const_21 = const()[name = tensor("const_21"), val = tensor(0x0p+0)]; 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 x_135 = pad(constant_val = const_21, mode = x_135_mode_0, pad = x_135_pad_0, x = input_87)[name = tensor("x_135")]; 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 x_137 = conv(bias = m_decoder_res_layers_1_res_blocks_0_res_blocks_1_input_conv_bias, 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, x = x_135)[name = tensor("x_137")]; 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 = slice_by_index(begin = x_139_begin_0, end = x_139_end_0, end_mask = x_139_end_mask_0, x = x_137)[name = tensor("x_139")]; tensor var_819 = mul(x = m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha, y = x_139)[name = tensor("op_819")]; tensor s_99 = sin(x = var_819)[name = tensor("s_99")]; tensor var_823 = const()[name = tensor("op_823"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126301632)))]; tensor var_826 = mul(x = var_823, y = s_99)[name = tensor("op_826")]; tensor var_827 = mul(x = var_826, y = s_99)[name = tensor("op_827")]; tensor s_101 = add(x = x_139, y = var_827)[name = tensor("s_101")]; 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 = slice_by_index(begin = input_89_begin_0, end = input_89_end_0, end_mask = input_89_end_mask_0, x = x_137)[name = tensor("input_89")]; tensor l_47 = leaky_relu(alpha = var_25, x = input_89)[name = tensor("l_47")]; tensor input_91_interleave_0 = const()[name = tensor("input_91_interleave_0"), val = tensor(false)]; tensor input_91 = concat(axis = var_30, interleave = input_91_interleave_0, values = (s_101, l_47))[name = tensor("input_91")]; tensor const_22 = const()[name = tensor("const_22"), val = tensor(0x0p+0)]; 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 x_141 = pad(constant_val = const_22, mode = x_141_mode_0, pad = x_141_pad_0, x = input_91)[name = tensor("x_141")]; 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 h_21 = conv(bias = m_decoder_res_layers_1_res_blocks_0_res_blocks_1_skip_conv_bias, 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, x = x_141)[name = tensor("h_21")]; tensor x_143 = add(x = x_131, y = h_21)[name = tensor("x_143")]; 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 = slice_by_index(begin = x_145_begin_0, end = x_145_end_0, end_mask = x_145_end_mask_0, x = x_143)[name = tensor("x_145")]; tensor var_852 = mul(x = m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha, y = x_145)[name = tensor("op_852")]; tensor s_103 = sin(x = var_852)[name = tensor("s_103")]; tensor var_856 = const()[name = tensor("op_856"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126302144)))]; tensor var_859 = mul(x = var_856, y = s_103)[name = tensor("op_859")]; tensor var_860 = mul(x = var_859, y = s_103)[name = tensor("op_860")]; tensor s_105 = add(x = x_145, y = var_860)[name = tensor("s_105")]; 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 = slice_by_index(begin = input_93_begin_0, end = input_93_end_0, end_mask = input_93_end_mask_0, x = x_143)[name = tensor("input_93")]; tensor l_49 = leaky_relu(alpha = var_25, x = input_93)[name = tensor("l_49")]; tensor input_95_interleave_0 = const()[name = tensor("input_95_interleave_0"), val = tensor(false)]; tensor input_95 = concat(axis = var_30, interleave = input_95_interleave_0, values = (s_105, l_49))[name = tensor("input_95")]; tensor const_23 = const()[name = tensor("const_23"), val = tensor(0x0p+0)]; 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 x_147 = pad(constant_val = const_23, mode = x_147_mode_0, pad = x_147_pad_0, x = input_95)[name = tensor("x_147")]; 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 x_149 = conv(bias = m_decoder_res_layers_1_res_blocks_0_res_blocks_2_input_conv_bias, 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, x = x_147)[name = tensor("x_149")]; 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 = slice_by_index(begin = x_151_begin_0, end = x_151_end_0, end_mask = x_151_end_mask_0, x = x_149)[name = tensor("x_151")]; tensor var_880 = mul(x = m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha, y = x_151)[name = tensor("op_880")]; tensor s_107 = sin(x = var_880)[name = tensor("s_107")]; tensor var_884 = const()[name = tensor("op_884"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126302656)))]; tensor var_887 = mul(x = var_884, y = s_107)[name = tensor("op_887")]; tensor var_888 = mul(x = var_887, y = s_107)[name = tensor("op_888")]; tensor s_109 = add(x = x_151, y = var_888)[name = tensor("s_109")]; 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 = slice_by_index(begin = input_97_begin_0, end = input_97_end_0, end_mask = input_97_end_mask_0, x = x_149)[name = tensor("input_97")]; tensor l_51 = leaky_relu(alpha = var_25, x = input_97)[name = tensor("l_51")]; tensor input_99_interleave_0 = const()[name = tensor("input_99_interleave_0"), val = tensor(false)]; tensor input_99 = concat(axis = var_30, interleave = input_99_interleave_0, values = (s_109, l_51))[name = tensor("input_99")]; tensor const_24 = const()[name = tensor("const_24"), val = tensor(0x0p+0)]; 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 x_153 = pad(constant_val = const_24, mode = x_153_mode_0, pad = x_153_pad_0, x = input_99)[name = tensor("x_153")]; 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 h_23 = conv(bias = m_decoder_res_layers_1_res_blocks_0_res_blocks_2_skip_conv_bias, 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, x = x_153)[name = tensor("h_23")]; tensor s_159 = add(x = x_143, y = h_23)[name = tensor("s_159")]; tensor var_919 = mul(x = m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha, y = x_121)[name = tensor("op_919")]; tensor s_111 = sin(x = var_919)[name = tensor("s_111")]; tensor var_923 = const()[name = tensor("op_923"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126303168)))]; tensor var_926 = mul(x = var_923, y = s_111)[name = tensor("op_926")]; tensor var_927 = mul(x = var_926, y = s_111)[name = tensor("op_927")]; tensor s_113 = add(x = x_121, y = var_927)[name = tensor("s_113")]; tensor input_103_interleave_0 = const()[name = tensor("input_103_interleave_0"), val = tensor(false)]; tensor input_103 = concat(axis = var_30, interleave = input_103_interleave_0, values = (s_113, l_41))[name = tensor("input_103")]; tensor const_25 = const()[name = tensor("const_25"), val = tensor(0x0p+0)]; 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 x_157 = pad(constant_val = const_25, mode = x_157_mode_0, pad = x_157_pad_0, x = input_103)[name = tensor("x_157")]; 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 x_159 = conv(bias = m_decoder_res_layers_1_res_blocks_1_res_blocks_0_input_conv_bias, 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, x = x_157)[name = tensor("x_159")]; 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 = slice_by_index(begin = x_161_begin_0, end = x_161_end_0, end_mask = x_161_end_mask_0, x = x_159)[name = tensor("x_161")]; tensor var_947 = mul(x = m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha, y = x_161)[name = tensor("op_947")]; tensor s_115 = sin(x = var_947)[name = tensor("s_115")]; tensor var_951 = const()[name = tensor("op_951"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126303680)))]; tensor var_954 = mul(x = var_951, y = s_115)[name = tensor("op_954")]; tensor var_955 = mul(x = var_954, y = s_115)[name = tensor("op_955")]; tensor s_117 = add(x = x_161, y = var_955)[name = tensor("s_117")]; 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 = slice_by_index(begin = input_105_begin_0, end = input_105_end_0, end_mask = input_105_end_mask_0, x = x_159)[name = tensor("input_105")]; tensor l_55 = leaky_relu(alpha = var_25, x = input_105)[name = tensor("l_55")]; tensor input_107_interleave_0 = const()[name = tensor("input_107_interleave_0"), val = tensor(false)]; tensor input_107 = concat(axis = var_30, interleave = input_107_interleave_0, values = (s_117, l_55))[name = tensor("input_107")]; tensor const_26 = const()[name = tensor("const_26"), val = tensor(0x0p+0)]; 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 x_163 = pad(constant_val = const_26, mode = x_163_mode_0, pad = x_163_pad_0, x = input_107)[name = tensor("x_163")]; 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 h_25 = conv(bias = m_decoder_res_layers_1_res_blocks_1_res_blocks_0_skip_conv_bias, 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, x = x_163)[name = tensor("h_25")]; tensor x_165 = add(x = x_119, y = h_25)[name = tensor("x_165")]; 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 = slice_by_index(begin = x_167_begin_0, end = x_167_end_0, end_mask = x_167_end_mask_0, x = x_165)[name = tensor("x_167")]; tensor var_980 = mul(x = m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha, y = x_167)[name = tensor("op_980")]; tensor s_119 = sin(x = var_980)[name = tensor("s_119")]; tensor var_984 = const()[name = tensor("op_984"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126304192)))]; tensor var_987 = mul(x = var_984, y = s_119)[name = tensor("op_987")]; tensor var_988 = mul(x = var_987, y = s_119)[name = tensor("op_988")]; tensor s_121 = add(x = x_167, y = var_988)[name = tensor("s_121")]; 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 = slice_by_index(begin = input_109_begin_0, end = input_109_end_0, end_mask = input_109_end_mask_0, x = x_165)[name = tensor("input_109")]; tensor l_57 = leaky_relu(alpha = var_25, x = input_109)[name = tensor("l_57")]; tensor input_111_interleave_0 = const()[name = tensor("input_111_interleave_0"), val = tensor(false)]; tensor input_111 = concat(axis = var_30, interleave = input_111_interleave_0, values = (s_121, l_57))[name = tensor("input_111")]; tensor const_27 = const()[name = tensor("const_27"), val = tensor(0x0p+0)]; 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 x_169 = pad(constant_val = const_27, mode = x_169_mode_0, pad = x_169_pad_0, x = input_111)[name = tensor("x_169")]; 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 x_171 = conv(bias = m_decoder_res_layers_1_res_blocks_1_res_blocks_1_input_conv_bias, 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, x = x_169)[name = tensor("x_171")]; 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 = slice_by_index(begin = x_173_begin_0, end = x_173_end_0, end_mask = x_173_end_mask_0, x = x_171)[name = tensor("x_173")]; tensor var_1008 = mul(x = m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha, y = x_173)[name = tensor("op_1008")]; tensor s_123 = sin(x = var_1008)[name = tensor("s_123")]; tensor var_1012 = const()[name = tensor("op_1012"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126304704)))]; tensor var_1015 = mul(x = var_1012, y = s_123)[name = tensor("op_1015")]; tensor var_1016 = mul(x = var_1015, y = s_123)[name = tensor("op_1016")]; tensor s_125 = add(x = x_173, y = var_1016)[name = tensor("s_125")]; 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 = slice_by_index(begin = input_113_begin_0, end = input_113_end_0, end_mask = input_113_end_mask_0, x = x_171)[name = tensor("input_113")]; tensor l_59 = leaky_relu(alpha = var_25, x = input_113)[name = tensor("l_59")]; tensor input_115_interleave_0 = const()[name = tensor("input_115_interleave_0"), val = tensor(false)]; tensor input_115 = concat(axis = var_30, interleave = input_115_interleave_0, values = (s_125, l_59))[name = tensor("input_115")]; tensor const_28 = const()[name = tensor("const_28"), val = tensor(0x0p+0)]; 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 x_175 = pad(constant_val = const_28, mode = x_175_mode_0, pad = x_175_pad_0, x = input_115)[name = tensor("x_175")]; 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 h_27 = conv(bias = m_decoder_res_layers_1_res_blocks_1_res_blocks_1_skip_conv_bias, 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, x = x_175)[name = tensor("h_27")]; tensor x_177 = add(x = x_165, y = h_27)[name = tensor("x_177")]; 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 = slice_by_index(begin = x_179_begin_0, end = x_179_end_0, end_mask = x_179_end_mask_0, x = x_177)[name = tensor("x_179")]; tensor var_1041 = mul(x = m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha, y = x_179)[name = tensor("op_1041")]; tensor s_127 = sin(x = var_1041)[name = tensor("s_127")]; tensor var_1045 = const()[name = tensor("op_1045"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126305216)))]; tensor var_1048 = mul(x = var_1045, y = s_127)[name = tensor("op_1048")]; tensor var_1049 = mul(x = var_1048, y = s_127)[name = tensor("op_1049")]; tensor s_129 = add(x = x_179, y = var_1049)[name = tensor("s_129")]; 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 = slice_by_index(begin = input_117_begin_0, end = input_117_end_0, end_mask = input_117_end_mask_0, x = x_177)[name = tensor("input_117")]; tensor l_61 = leaky_relu(alpha = var_25, x = input_117)[name = tensor("l_61")]; tensor input_119_interleave_0 = const()[name = tensor("input_119_interleave_0"), val = tensor(false)]; tensor input_119 = concat(axis = var_30, interleave = input_119_interleave_0, values = (s_129, l_61))[name = tensor("input_119")]; tensor const_29 = const()[name = tensor("const_29"), val = tensor(0x0p+0)]; 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 x_181 = pad(constant_val = const_29, mode = x_181_mode_0, pad = x_181_pad_0, x = input_119)[name = tensor("x_181")]; 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 x_183 = conv(bias = m_decoder_res_layers_1_res_blocks_1_res_blocks_2_input_conv_bias, 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, x = x_181)[name = tensor("x_183")]; 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 = slice_by_index(begin = x_185_begin_0, end = x_185_end_0, end_mask = x_185_end_mask_0, x = x_183)[name = tensor("x_185")]; tensor var_1069 = mul(x = m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha, y = x_185)[name = tensor("op_1069")]; tensor s_131 = sin(x = var_1069)[name = tensor("s_131")]; tensor var_1073 = const()[name = tensor("op_1073"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126305728)))]; tensor var_1076 = mul(x = var_1073, y = s_131)[name = tensor("op_1076")]; tensor var_1077 = mul(x = var_1076, y = s_131)[name = tensor("op_1077")]; tensor s_133 = add(x = x_185, y = var_1077)[name = tensor("s_133")]; 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 = slice_by_index(begin = input_121_begin_0, end = input_121_end_0, end_mask = input_121_end_mask_0, x = x_183)[name = tensor("input_121")]; tensor l_63 = leaky_relu(alpha = var_25, x = input_121)[name = tensor("l_63")]; tensor input_123_interleave_0 = const()[name = tensor("input_123_interleave_0"), val = tensor(false)]; tensor input_123 = concat(axis = var_30, interleave = input_123_interleave_0, values = (s_133, l_63))[name = tensor("input_123")]; tensor const_30 = const()[name = tensor("const_30"), val = tensor(0x0p+0)]; 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 x_187 = pad(constant_val = const_30, mode = x_187_mode_0, pad = x_187_pad_0, x = input_123)[name = tensor("x_187")]; 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 h_29 = conv(bias = m_decoder_res_layers_1_res_blocks_1_res_blocks_2_skip_conv_bias, 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, x = x_187)[name = tensor("h_29")]; tensor o_5 = add(x = x_177, y = h_29)[name = tensor("o_5")]; tensor var_1108 = mul(x = m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha, y = x_121)[name = tensor("op_1108")]; tensor s_135 = sin(x = var_1108)[name = tensor("s_135")]; tensor var_1112 = const()[name = tensor("op_1112"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126306240)))]; tensor var_1115 = mul(x = var_1112, y = s_135)[name = tensor("op_1115")]; tensor var_1116 = mul(x = var_1115, y = s_135)[name = tensor("op_1116")]; tensor s_137 = add(x = x_121, y = var_1116)[name = tensor("s_137")]; tensor input_127_interleave_0 = const()[name = tensor("input_127_interleave_0"), val = tensor(false)]; tensor input_127 = concat(axis = var_30, interleave = input_127_interleave_0, values = (s_137, l_41))[name = tensor("input_127")]; tensor const_31 = const()[name = tensor("const_31"), val = tensor(0x0p+0)]; 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 x_191 = pad(constant_val = const_31, mode = x_191_mode_0, pad = x_191_pad_0, x = input_127)[name = tensor("x_191")]; 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 x_193 = conv(bias = m_decoder_res_layers_1_res_blocks_2_res_blocks_0_input_conv_bias, 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, x = x_191)[name = tensor("x_193")]; 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 = slice_by_index(begin = x_195_begin_0, end = x_195_end_0, end_mask = x_195_end_mask_0, x = x_193)[name = tensor("x_195")]; tensor var_1136 = mul(x = m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha, y = x_195)[name = tensor("op_1136")]; tensor s_139 = sin(x = var_1136)[name = tensor("s_139")]; tensor var_1140 = const()[name = tensor("op_1140"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126306752)))]; tensor var_1143 = mul(x = var_1140, y = s_139)[name = tensor("op_1143")]; tensor var_1144 = mul(x = var_1143, y = s_139)[name = tensor("op_1144")]; tensor s_141 = add(x = x_195, y = var_1144)[name = tensor("s_141")]; 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 = slice_by_index(begin = input_129_begin_0, end = input_129_end_0, end_mask = input_129_end_mask_0, x = x_193)[name = tensor("input_129")]; tensor l_67 = leaky_relu(alpha = var_25, x = input_129)[name = tensor("l_67")]; tensor input_131_interleave_0 = const()[name = tensor("input_131_interleave_0"), val = tensor(false)]; tensor input_131 = concat(axis = var_30, interleave = input_131_interleave_0, values = (s_141, l_67))[name = tensor("input_131")]; tensor const_32 = const()[name = tensor("const_32"), val = tensor(0x0p+0)]; 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 x_197 = pad(constant_val = const_32, mode = x_197_mode_0, pad = x_197_pad_0, x = input_131)[name = tensor("x_197")]; 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 h_31 = conv(bias = m_decoder_res_layers_1_res_blocks_2_res_blocks_0_skip_conv_bias, 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, x = x_197)[name = tensor("h_31")]; tensor x_199 = add(x = x_119, y = h_31)[name = tensor("x_199")]; 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 = slice_by_index(begin = x_201_begin_0, end = x_201_end_0, end_mask = x_201_end_mask_0, x = x_199)[name = tensor("x_201")]; tensor var_1169 = mul(x = m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha, y = x_201)[name = tensor("op_1169")]; tensor s_143 = sin(x = var_1169)[name = tensor("s_143")]; tensor var_1173 = const()[name = tensor("op_1173"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126307264)))]; tensor var_1176 = mul(x = var_1173, y = s_143)[name = tensor("op_1176")]; tensor var_1177 = mul(x = var_1176, y = s_143)[name = tensor("op_1177")]; tensor s_145 = add(x = x_201, y = var_1177)[name = tensor("s_145")]; 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 = slice_by_index(begin = input_133_begin_0, end = input_133_end_0, end_mask = input_133_end_mask_0, x = x_199)[name = tensor("input_133")]; tensor l_69 = leaky_relu(alpha = var_25, x = input_133)[name = tensor("l_69")]; tensor input_135_interleave_0 = const()[name = tensor("input_135_interleave_0"), val = tensor(false)]; tensor input_135 = concat(axis = var_30, interleave = input_135_interleave_0, values = (s_145, l_69))[name = tensor("input_135")]; tensor const_33 = const()[name = tensor("const_33"), val = tensor(0x0p+0)]; 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 x_203 = pad(constant_val = const_33, mode = x_203_mode_0, pad = x_203_pad_0, x = input_135)[name = tensor("x_203")]; 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 x_205 = conv(bias = m_decoder_res_layers_1_res_blocks_2_res_blocks_1_input_conv_bias, 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, x = x_203)[name = tensor("x_205")]; 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 = slice_by_index(begin = x_207_begin_0, end = x_207_end_0, end_mask = x_207_end_mask_0, x = x_205)[name = tensor("x_207")]; tensor var_1197 = mul(x = m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha, y = x_207)[name = tensor("op_1197")]; tensor s_147 = sin(x = var_1197)[name = tensor("s_147")]; tensor var_1201 = const()[name = tensor("op_1201"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126307776)))]; tensor var_1204 = mul(x = var_1201, y = s_147)[name = tensor("op_1204")]; tensor var_1205 = mul(x = var_1204, y = s_147)[name = tensor("op_1205")]; tensor s_149 = add(x = x_207, y = var_1205)[name = tensor("s_149")]; 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 = slice_by_index(begin = input_137_begin_0, end = input_137_end_0, end_mask = input_137_end_mask_0, x = x_205)[name = tensor("input_137")]; tensor l_71 = leaky_relu(alpha = var_25, x = input_137)[name = tensor("l_71")]; tensor input_139_interleave_0 = const()[name = tensor("input_139_interleave_0"), val = tensor(false)]; tensor input_139 = concat(axis = var_30, interleave = input_139_interleave_0, values = (s_149, l_71))[name = tensor("input_139")]; tensor const_34 = const()[name = tensor("const_34"), val = tensor(0x0p+0)]; 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 x_209 = pad(constant_val = const_34, mode = x_209_mode_0, pad = x_209_pad_0, x = input_139)[name = tensor("x_209")]; 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 h_33 = conv(bias = m_decoder_res_layers_1_res_blocks_2_res_blocks_1_skip_conv_bias, 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, x = x_209)[name = tensor("h_33")]; tensor x_211 = add(x = x_199, y = h_33)[name = tensor("x_211")]; 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 = slice_by_index(begin = x_213_begin_0, end = x_213_end_0, end_mask = x_213_end_mask_0, x = x_211)[name = tensor("x_213")]; tensor var_1230 = mul(x = m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha, y = x_213)[name = tensor("op_1230")]; tensor s_151 = sin(x = var_1230)[name = tensor("s_151")]; tensor var_1234 = const()[name = tensor("op_1234"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126308288)))]; tensor var_1237 = mul(x = var_1234, y = s_151)[name = tensor("op_1237")]; tensor var_1238 = mul(x = var_1237, y = s_151)[name = tensor("op_1238")]; tensor s_153 = add(x = x_213, y = var_1238)[name = tensor("s_153")]; 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 = slice_by_index(begin = input_141_begin_0, end = input_141_end_0, end_mask = input_141_end_mask_0, x = x_211)[name = tensor("input_141")]; tensor l_73 = leaky_relu(alpha = var_25, x = input_141)[name = tensor("l_73")]; tensor input_143_interleave_0 = const()[name = tensor("input_143_interleave_0"), val = tensor(false)]; tensor input_143 = concat(axis = var_30, interleave = input_143_interleave_0, values = (s_153, l_73))[name = tensor("input_143")]; tensor const_35 = const()[name = tensor("const_35"), val = tensor(0x0p+0)]; 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 x_215 = pad(constant_val = const_35, mode = x_215_mode_0, pad = x_215_pad_0, x = input_143)[name = tensor("x_215")]; 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 x_217 = conv(bias = m_decoder_res_layers_1_res_blocks_2_res_blocks_2_input_conv_bias, 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, x = x_215)[name = tensor("x_217")]; 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 = slice_by_index(begin = x_219_begin_0, end = x_219_end_0, end_mask = x_219_end_mask_0, x = x_217)[name = tensor("x_219")]; tensor var_1258 = mul(x = m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha, y = x_219)[name = tensor("op_1258")]; tensor s_155 = sin(x = var_1258)[name = tensor("s_155")]; tensor var_1262 = const()[name = tensor("op_1262"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126308800)))]; tensor var_1265 = mul(x = var_1262, y = s_155)[name = tensor("op_1265")]; tensor var_1266 = mul(x = var_1265, y = s_155)[name = tensor("op_1266")]; tensor s_157 = add(x = x_219, y = var_1266)[name = tensor("s_157")]; 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 = slice_by_index(begin = input_145_begin_0, end = input_145_end_0, end_mask = input_145_end_mask_0, x = x_217)[name = tensor("input_145")]; tensor l_75 = leaky_relu(alpha = var_25, x = input_145)[name = tensor("l_75")]; tensor input_147_interleave_0 = const()[name = tensor("input_147_interleave_0"), val = tensor(false)]; tensor input_147 = concat(axis = var_30, interleave = input_147_interleave_0, values = (s_157, l_75))[name = tensor("input_147")]; tensor const_36 = const()[name = tensor("const_36"), val = tensor(0x0p+0)]; 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 x_221 = pad(constant_val = const_36, mode = x_221_mode_0, pad = x_221_pad_0, x = input_147)[name = tensor("x_221")]; 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 h_35 = conv(bias = m_decoder_res_layers_1_res_blocks_2_res_blocks_2_skip_conv_bias, 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, x = x_221)[name = tensor("h_35")]; tensor o_7 = add(x = x_211, y = h_35)[name = tensor("o_7")]; tensor s_161 = add(x = s_159, y = o_5)[name = tensor("s_161")]; tensor s_163 = add(x = s_161, y = o_7)[name = tensor("s_163")]; tensor _inversed_x_223_y_0 = const()[name = tensor("_inversed_x_223_y_0"), val = tensor(0x1.555556p-2)]; tensor _inversed_x_223 = mul(x = s_163, y = _inversed_x_223_y_0)[name = tensor("_inversed_x_223")]; 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 = slice_by_index(begin = x_225_begin_0, end = x_225_end_0, end_mask = x_225_end_mask_0, x = _inversed_x_223)[name = tensor("x_225")]; tensor var_1291 = mul(x = m_decoder_activations_2_snake_act_alpha, y = x_225)[name = tensor("op_1291")]; tensor s_165 = sin(x = var_1291)[name = tensor("s_165")]; tensor var_1295 = const()[name = tensor("op_1295"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126309312)))]; tensor var_1298 = mul(x = var_1295, y = s_165)[name = tensor("op_1298")]; tensor var_1299 = mul(x = var_1298, y = s_165)[name = tensor("op_1299")]; tensor s_167 = add(x = x_225, y = var_1299)[name = tensor("s_167")]; 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 = slice_by_index(begin = input_149_begin_0, end = input_149_end_0, end_mask = input_149_end_mask_0, x = _inversed_x_223)[name = tensor("input_149")]; tensor l_77 = leaky_relu(alpha = var_25, x = input_149)[name = tensor("l_77")]; tensor x_227_interleave_0 = const()[name = tensor("x_227_interleave_0"), val = tensor(false)]; tensor x_227 = concat(axis = var_30, interleave = x_227_interleave_0, values = (s_167, l_77))[name = tensor("x_227")]; 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 y_5_has_output_shape = conv_transpose(bias = m_decoder_up_sample_conv_layers_2_bias, 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, x = x_227)[name = tensor("y_5_has_output_shape")]; 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 = 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)[name = tensor("x_229")]; 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 = slice_by_index(begin = x_231_begin_0, end = x_231_end_0, end_mask = x_231_end_mask_0, x = x_229)[name = tensor("x_231")]; tensor var_1336 = mul(x = m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha, y = x_231)[name = tensor("op_1336")]; tensor s_169 = sin(x = var_1336)[name = tensor("s_169")]; tensor var_1340 = const()[name = tensor("op_1340"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126309824)))]; tensor var_1343 = mul(x = var_1340, y = s_169)[name = tensor("op_1343")]; tensor var_1344 = mul(x = var_1343, y = s_169)[name = tensor("op_1344")]; tensor s_171 = add(x = x_231, y = var_1344)[name = tensor("s_171")]; 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 = slice_by_index(begin = input_151_begin_0, end = input_151_end_0, end_mask = input_151_end_mask_0, x = x_229)[name = tensor("input_151")]; tensor l_79 = leaky_relu(alpha = var_25, x = input_151)[name = tensor("l_79")]; tensor input_153_interleave_0 = const()[name = tensor("input_153_interleave_0"), val = tensor(false)]; tensor input_153 = concat(axis = var_30, interleave = input_153_interleave_0, values = (s_171, l_79))[name = tensor("input_153")]; tensor const_37 = const()[name = tensor("const_37"), val = tensor(0x0p+0)]; 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 x_233 = pad(constant_val = const_37, mode = x_233_mode_0, pad = x_233_pad_0, x = input_153)[name = tensor("x_233")]; 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 x_235 = conv(bias = m_decoder_res_layers_2_res_blocks_0_res_blocks_0_input_conv_bias, 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, x = x_233)[name = tensor("x_235")]; 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 = slice_by_index(begin = x_237_begin_0, end = x_237_end_0, end_mask = x_237_end_mask_0, x = x_235)[name = tensor("x_237")]; tensor var_1364 = mul(x = m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha, y = x_237)[name = tensor("op_1364")]; tensor s_173 = sin(x = var_1364)[name = tensor("s_173")]; tensor var_1368 = const()[name = tensor("op_1368"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126310144)))]; tensor var_1371 = mul(x = var_1368, y = s_173)[name = tensor("op_1371")]; tensor var_1372 = mul(x = var_1371, y = s_173)[name = tensor("op_1372")]; tensor s_175 = add(x = x_237, y = var_1372)[name = tensor("s_175")]; 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 = slice_by_index(begin = input_155_begin_0, end = input_155_end_0, end_mask = input_155_end_mask_0, x = x_235)[name = tensor("input_155")]; tensor l_81 = leaky_relu(alpha = var_25, x = input_155)[name = tensor("l_81")]; tensor input_157_interleave_0 = const()[name = tensor("input_157_interleave_0"), val = tensor(false)]; tensor input_157 = concat(axis = var_30, interleave = input_157_interleave_0, values = (s_175, l_81))[name = tensor("input_157")]; tensor const_38 = const()[name = tensor("const_38"), val = tensor(0x0p+0)]; 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 x_239 = pad(constant_val = const_38, mode = x_239_mode_0, pad = x_239_pad_0, x = input_157)[name = tensor("x_239")]; 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 h_37 = conv(bias = m_decoder_res_layers_2_res_blocks_0_res_blocks_0_skip_conv_bias, 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, x = x_239)[name = tensor("h_37")]; tensor x_241 = add(x = x_229, y = h_37)[name = tensor("x_241")]; 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 = slice_by_index(begin = x_243_begin_0, end = x_243_end_0, end_mask = x_243_end_mask_0, x = x_241)[name = tensor("x_243")]; tensor var_1397 = mul(x = m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha, y = x_243)[name = tensor("op_1397")]; tensor s_177 = sin(x = var_1397)[name = tensor("s_177")]; tensor var_1401 = const()[name = tensor("op_1401"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126310464)))]; tensor var_1404 = mul(x = var_1401, y = s_177)[name = tensor("op_1404")]; tensor var_1405 = mul(x = var_1404, y = s_177)[name = tensor("op_1405")]; tensor s_179 = add(x = x_243, y = var_1405)[name = tensor("s_179")]; 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 = slice_by_index(begin = input_159_begin_0, end = input_159_end_0, end_mask = input_159_end_mask_0, x = x_241)[name = tensor("input_159")]; tensor l_83 = leaky_relu(alpha = var_25, x = input_159)[name = tensor("l_83")]; tensor input_161_interleave_0 = const()[name = tensor("input_161_interleave_0"), val = tensor(false)]; tensor input_161 = concat(axis = var_30, interleave = input_161_interleave_0, values = (s_179, l_83))[name = tensor("input_161")]; tensor const_39 = const()[name = tensor("const_39"), val = tensor(0x0p+0)]; 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 x_245 = pad(constant_val = const_39, mode = x_245_mode_0, pad = x_245_pad_0, x = input_161)[name = tensor("x_245")]; 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 x_247 = conv(bias = m_decoder_res_layers_2_res_blocks_0_res_blocks_1_input_conv_bias, 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, x = x_245)[name = tensor("x_247")]; 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 = slice_by_index(begin = x_249_begin_0, end = x_249_end_0, end_mask = x_249_end_mask_0, x = x_247)[name = tensor("x_249")]; tensor var_1425 = mul(x = m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha, y = x_249)[name = tensor("op_1425")]; tensor s_181 = sin(x = var_1425)[name = tensor("s_181")]; tensor var_1429 = const()[name = tensor("op_1429"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126310784)))]; tensor var_1432 = mul(x = var_1429, y = s_181)[name = tensor("op_1432")]; tensor var_1433 = mul(x = var_1432, y = s_181)[name = tensor("op_1433")]; tensor s_183 = add(x = x_249, y = var_1433)[name = tensor("s_183")]; 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 = slice_by_index(begin = input_163_begin_0, end = input_163_end_0, end_mask = input_163_end_mask_0, x = x_247)[name = tensor("input_163")]; tensor l_85 = leaky_relu(alpha = var_25, x = input_163)[name = tensor("l_85")]; tensor input_165_interleave_0 = const()[name = tensor("input_165_interleave_0"), val = tensor(false)]; tensor input_165 = concat(axis = var_30, interleave = input_165_interleave_0, values = (s_183, l_85))[name = tensor("input_165")]; tensor const_40 = const()[name = tensor("const_40"), val = tensor(0x0p+0)]; 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 x_251 = pad(constant_val = const_40, mode = x_251_mode_0, pad = x_251_pad_0, x = input_165)[name = tensor("x_251")]; 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 h_39 = conv(bias = m_decoder_res_layers_2_res_blocks_0_res_blocks_1_skip_conv_bias, 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, x = x_251)[name = tensor("h_39")]; tensor x_253 = add(x = x_241, y = h_39)[name = tensor("x_253")]; 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 = slice_by_index(begin = x_255_begin_0, end = x_255_end_0, end_mask = x_255_end_mask_0, x = x_253)[name = tensor("x_255")]; tensor var_1458 = mul(x = m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha, y = x_255)[name = tensor("op_1458")]; tensor s_185 = sin(x = var_1458)[name = tensor("s_185")]; tensor var_1462 = const()[name = tensor("op_1462"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126311104)))]; tensor var_1465 = mul(x = var_1462, y = s_185)[name = tensor("op_1465")]; tensor var_1466 = mul(x = var_1465, y = s_185)[name = tensor("op_1466")]; tensor s_187 = add(x = x_255, y = var_1466)[name = tensor("s_187")]; 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 = slice_by_index(begin = input_167_begin_0, end = input_167_end_0, end_mask = input_167_end_mask_0, x = x_253)[name = tensor("input_167")]; tensor l_87 = leaky_relu(alpha = var_25, x = input_167)[name = tensor("l_87")]; tensor input_169_interleave_0 = const()[name = tensor("input_169_interleave_0"), val = tensor(false)]; tensor input_169 = concat(axis = var_30, interleave = input_169_interleave_0, values = (s_187, l_87))[name = tensor("input_169")]; tensor const_41 = const()[name = tensor("const_41"), val = tensor(0x0p+0)]; 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 x_257 = pad(constant_val = const_41, mode = x_257_mode_0, pad = x_257_pad_0, x = input_169)[name = tensor("x_257")]; 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 x_259 = conv(bias = m_decoder_res_layers_2_res_blocks_0_res_blocks_2_input_conv_bias, 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, x = x_257)[name = tensor("x_259")]; 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 = slice_by_index(begin = x_261_begin_0, end = x_261_end_0, end_mask = x_261_end_mask_0, x = x_259)[name = tensor("x_261")]; tensor var_1486 = mul(x = m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha, y = x_261)[name = tensor("op_1486")]; tensor s_189 = sin(x = var_1486)[name = tensor("s_189")]; tensor var_1490 = const()[name = tensor("op_1490"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126311424)))]; tensor var_1493 = mul(x = var_1490, y = s_189)[name = tensor("op_1493")]; tensor var_1494 = mul(x = var_1493, y = s_189)[name = tensor("op_1494")]; tensor s_191 = add(x = x_261, y = var_1494)[name = tensor("s_191")]; 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 = slice_by_index(begin = input_171_begin_0, end = input_171_end_0, end_mask = input_171_end_mask_0, x = x_259)[name = tensor("input_171")]; tensor l_89 = leaky_relu(alpha = var_25, x = input_171)[name = tensor("l_89")]; tensor input_173_interleave_0 = const()[name = tensor("input_173_interleave_0"), val = tensor(false)]; tensor input_173 = concat(axis = var_30, interleave = input_173_interleave_0, values = (s_191, l_89))[name = tensor("input_173")]; tensor const_42 = const()[name = tensor("const_42"), val = tensor(0x0p+0)]; 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 x_263 = pad(constant_val = const_42, mode = x_263_mode_0, pad = x_263_pad_0, x = input_173)[name = tensor("x_263")]; 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 h_41 = conv(bias = m_decoder_res_layers_2_res_blocks_0_res_blocks_2_skip_conv_bias, 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, x = x_263)[name = tensor("h_41")]; tensor s_241 = add(x = x_253, y = h_41)[name = tensor("s_241")]; tensor var_1525 = mul(x = m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha, y = x_231)[name = tensor("op_1525")]; tensor s_193 = sin(x = var_1525)[name = tensor("s_193")]; tensor var_1529 = const()[name = tensor("op_1529"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126311744)))]; tensor var_1532 = mul(x = var_1529, y = s_193)[name = tensor("op_1532")]; tensor var_1533 = mul(x = var_1532, y = s_193)[name = tensor("op_1533")]; tensor s_195 = add(x = x_231, y = var_1533)[name = tensor("s_195")]; tensor input_177_interleave_0 = const()[name = tensor("input_177_interleave_0"), val = tensor(false)]; tensor input_177 = concat(axis = var_30, interleave = input_177_interleave_0, values = (s_195, l_79))[name = tensor("input_177")]; tensor const_43 = const()[name = tensor("const_43"), val = tensor(0x0p+0)]; 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 x_267 = pad(constant_val = const_43, mode = x_267_mode_0, pad = x_267_pad_0, x = input_177)[name = tensor("x_267")]; 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 x_269 = conv(bias = m_decoder_res_layers_2_res_blocks_1_res_blocks_0_input_conv_bias, 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, x = x_267)[name = tensor("x_269")]; 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 = slice_by_index(begin = x_271_begin_0, end = x_271_end_0, end_mask = x_271_end_mask_0, x = x_269)[name = tensor("x_271")]; tensor var_1553 = mul(x = m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha, y = x_271)[name = tensor("op_1553")]; tensor s_197 = sin(x = var_1553)[name = tensor("s_197")]; tensor var_1557 = const()[name = tensor("op_1557"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126312064)))]; tensor var_1560 = mul(x = var_1557, y = s_197)[name = tensor("op_1560")]; tensor var_1561 = mul(x = var_1560, y = s_197)[name = tensor("op_1561")]; tensor s_199 = add(x = x_271, y = var_1561)[name = tensor("s_199")]; 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 = slice_by_index(begin = input_179_begin_0, end = input_179_end_0, end_mask = input_179_end_mask_0, x = x_269)[name = tensor("input_179")]; tensor l_93 = leaky_relu(alpha = var_25, x = input_179)[name = tensor("l_93")]; tensor input_181_interleave_0 = const()[name = tensor("input_181_interleave_0"), val = tensor(false)]; tensor input_181 = concat(axis = var_30, interleave = input_181_interleave_0, values = (s_199, l_93))[name = tensor("input_181")]; tensor const_44 = const()[name = tensor("const_44"), val = tensor(0x0p+0)]; 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 x_273 = pad(constant_val = const_44, mode = x_273_mode_0, pad = x_273_pad_0, x = input_181)[name = tensor("x_273")]; 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 h_43 = conv(bias = m_decoder_res_layers_2_res_blocks_1_res_blocks_0_skip_conv_bias, 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, x = x_273)[name = tensor("h_43")]; tensor x_275 = add(x = x_229, y = h_43)[name = tensor("x_275")]; 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 = slice_by_index(begin = x_277_begin_0, end = x_277_end_0, end_mask = x_277_end_mask_0, x = x_275)[name = tensor("x_277")]; tensor var_1586 = mul(x = m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha, y = x_277)[name = tensor("op_1586")]; tensor s_201 = sin(x = var_1586)[name = tensor("s_201")]; tensor var_1590 = const()[name = tensor("op_1590"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126312384)))]; tensor var_1593 = mul(x = var_1590, y = s_201)[name = tensor("op_1593")]; tensor var_1594 = mul(x = var_1593, y = s_201)[name = tensor("op_1594")]; tensor s_203 = add(x = x_277, y = var_1594)[name = tensor("s_203")]; 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 = slice_by_index(begin = input_183_begin_0, end = input_183_end_0, end_mask = input_183_end_mask_0, x = x_275)[name = tensor("input_183")]; tensor l_95 = leaky_relu(alpha = var_25, x = input_183)[name = tensor("l_95")]; tensor input_185_interleave_0 = const()[name = tensor("input_185_interleave_0"), val = tensor(false)]; tensor input_185 = concat(axis = var_30, interleave = input_185_interleave_0, values = (s_203, l_95))[name = tensor("input_185")]; tensor const_45 = const()[name = tensor("const_45"), val = tensor(0x0p+0)]; 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 x_279 = pad(constant_val = const_45, mode = x_279_mode_0, pad = x_279_pad_0, x = input_185)[name = tensor("x_279")]; 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 x_281 = conv(bias = m_decoder_res_layers_2_res_blocks_1_res_blocks_1_input_conv_bias, 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, x = x_279)[name = tensor("x_281")]; 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 = slice_by_index(begin = x_283_begin_0, end = x_283_end_0, end_mask = x_283_end_mask_0, x = x_281)[name = tensor("x_283")]; tensor var_1614 = mul(x = m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha, y = x_283)[name = tensor("op_1614")]; tensor s_205 = sin(x = var_1614)[name = tensor("s_205")]; tensor var_1618 = const()[name = tensor("op_1618"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126312704)))]; tensor var_1621 = mul(x = var_1618, y = s_205)[name = tensor("op_1621")]; tensor var_1622 = mul(x = var_1621, y = s_205)[name = tensor("op_1622")]; tensor s_207 = add(x = x_283, y = var_1622)[name = tensor("s_207")]; 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 = slice_by_index(begin = input_187_begin_0, end = input_187_end_0, end_mask = input_187_end_mask_0, x = x_281)[name = tensor("input_187")]; tensor l_97 = leaky_relu(alpha = var_25, x = input_187)[name = tensor("l_97")]; tensor input_189_interleave_0 = const()[name = tensor("input_189_interleave_0"), val = tensor(false)]; tensor input_189 = concat(axis = var_30, interleave = input_189_interleave_0, values = (s_207, l_97))[name = tensor("input_189")]; tensor const_46 = const()[name = tensor("const_46"), val = tensor(0x0p+0)]; 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 x_285 = pad(constant_val = const_46, mode = x_285_mode_0, pad = x_285_pad_0, x = input_189)[name = tensor("x_285")]; 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 h_45 = conv(bias = m_decoder_res_layers_2_res_blocks_1_res_blocks_1_skip_conv_bias, 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, x = x_285)[name = tensor("h_45")]; tensor x_287 = add(x = x_275, y = h_45)[name = tensor("x_287")]; 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 = slice_by_index(begin = x_289_begin_0, end = x_289_end_0, end_mask = x_289_end_mask_0, x = x_287)[name = tensor("x_289")]; tensor var_1647 = mul(x = m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha, y = x_289)[name = tensor("op_1647")]; tensor s_209 = sin(x = var_1647)[name = tensor("s_209")]; tensor var_1651 = const()[name = tensor("op_1651"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126313024)))]; tensor var_1654 = mul(x = var_1651, y = s_209)[name = tensor("op_1654")]; tensor var_1655 = mul(x = var_1654, y = s_209)[name = tensor("op_1655")]; tensor s_211 = add(x = x_289, y = var_1655)[name = tensor("s_211")]; 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 = slice_by_index(begin = input_191_begin_0, end = input_191_end_0, end_mask = input_191_end_mask_0, x = x_287)[name = tensor("input_191")]; tensor l_99 = leaky_relu(alpha = var_25, x = input_191)[name = tensor("l_99")]; tensor input_193_interleave_0 = const()[name = tensor("input_193_interleave_0"), val = tensor(false)]; tensor input_193 = concat(axis = var_30, interleave = input_193_interleave_0, values = (s_211, l_99))[name = tensor("input_193")]; tensor const_47 = const()[name = tensor("const_47"), val = tensor(0x0p+0)]; 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 x_291 = pad(constant_val = const_47, mode = x_291_mode_0, pad = x_291_pad_0, x = input_193)[name = tensor("x_291")]; 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 x_293 = conv(bias = m_decoder_res_layers_2_res_blocks_1_res_blocks_2_input_conv_bias, 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, x = x_291)[name = tensor("x_293")]; 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 = slice_by_index(begin = x_295_begin_0, end = x_295_end_0, end_mask = x_295_end_mask_0, x = x_293)[name = tensor("x_295")]; tensor var_1675 = mul(x = m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha, y = x_295)[name = tensor("op_1675")]; tensor s_213 = sin(x = var_1675)[name = tensor("s_213")]; tensor var_1679 = const()[name = tensor("op_1679"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126313344)))]; tensor var_1682 = mul(x = var_1679, y = s_213)[name = tensor("op_1682")]; tensor var_1683 = mul(x = var_1682, y = s_213)[name = tensor("op_1683")]; tensor s_215 = add(x = x_295, y = var_1683)[name = tensor("s_215")]; 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 = slice_by_index(begin = input_195_begin_0, end = input_195_end_0, end_mask = input_195_end_mask_0, x = x_293)[name = tensor("input_195")]; tensor l_101 = leaky_relu(alpha = var_25, x = input_195)[name = tensor("l_101")]; tensor input_197_interleave_0 = const()[name = tensor("input_197_interleave_0"), val = tensor(false)]; tensor input_197 = concat(axis = var_30, interleave = input_197_interleave_0, values = (s_215, l_101))[name = tensor("input_197")]; tensor const_48 = const()[name = tensor("const_48"), val = tensor(0x0p+0)]; 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 x_297 = pad(constant_val = const_48, mode = x_297_mode_0, pad = x_297_pad_0, x = input_197)[name = tensor("x_297")]; 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 h_47 = conv(bias = m_decoder_res_layers_2_res_blocks_1_res_blocks_2_skip_conv_bias, 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, x = x_297)[name = tensor("h_47")]; tensor o_9 = add(x = x_287, y = h_47)[name = tensor("o_9")]; tensor var_1714 = mul(x = m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha, y = x_231)[name = tensor("op_1714")]; tensor s_217 = sin(x = var_1714)[name = tensor("s_217")]; tensor var_1718 = const()[name = tensor("op_1718"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126313664)))]; tensor var_1721 = mul(x = var_1718, y = s_217)[name = tensor("op_1721")]; tensor var_1722 = mul(x = var_1721, y = s_217)[name = tensor("op_1722")]; tensor s_219 = add(x = x_231, y = var_1722)[name = tensor("s_219")]; tensor input_201_interleave_0 = const()[name = tensor("input_201_interleave_0"), val = tensor(false)]; tensor input_201 = concat(axis = var_30, interleave = input_201_interleave_0, values = (s_219, l_79))[name = tensor("input_201")]; tensor const_49 = const()[name = tensor("const_49"), val = tensor(0x0p+0)]; 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 x_301 = pad(constant_val = const_49, mode = x_301_mode_0, pad = x_301_pad_0, x = input_201)[name = tensor("x_301")]; 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 x_303 = conv(bias = m_decoder_res_layers_2_res_blocks_2_res_blocks_0_input_conv_bias, 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, x = x_301)[name = tensor("x_303")]; 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 = slice_by_index(begin = x_305_begin_0, end = x_305_end_0, end_mask = x_305_end_mask_0, x = x_303)[name = tensor("x_305")]; tensor var_1742 = mul(x = m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha, y = x_305)[name = tensor("op_1742")]; tensor s_221 = sin(x = var_1742)[name = tensor("s_221")]; tensor var_1746 = const()[name = tensor("op_1746"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126313984)))]; tensor var_1749 = mul(x = var_1746, y = s_221)[name = tensor("op_1749")]; tensor var_1750 = mul(x = var_1749, y = s_221)[name = tensor("op_1750")]; tensor s_223 = add(x = x_305, y = var_1750)[name = tensor("s_223")]; 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 = slice_by_index(begin = input_203_begin_0, end = input_203_end_0, end_mask = input_203_end_mask_0, x = x_303)[name = tensor("input_203")]; tensor l_105 = leaky_relu(alpha = var_25, x = input_203)[name = tensor("l_105")]; tensor input_205_interleave_0 = const()[name = tensor("input_205_interleave_0"), val = tensor(false)]; tensor input_205 = concat(axis = var_30, interleave = input_205_interleave_0, values = (s_223, l_105))[name = tensor("input_205")]; tensor const_50 = const()[name = tensor("const_50"), val = tensor(0x0p+0)]; 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 x_307 = pad(constant_val = const_50, mode = x_307_mode_0, pad = x_307_pad_0, x = input_205)[name = tensor("x_307")]; 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 h_49 = conv(bias = m_decoder_res_layers_2_res_blocks_2_res_blocks_0_skip_conv_bias, 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, x = x_307)[name = tensor("h_49")]; tensor x_309 = add(x = x_229, y = h_49)[name = tensor("x_309")]; 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 = slice_by_index(begin = x_311_begin_0, end = x_311_end_0, end_mask = x_311_end_mask_0, x = x_309)[name = tensor("x_311")]; tensor var_1775 = mul(x = m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha, y = x_311)[name = tensor("op_1775")]; tensor s_225 = sin(x = var_1775)[name = tensor("s_225")]; tensor var_1779 = const()[name = tensor("op_1779"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126314304)))]; tensor var_1782 = mul(x = var_1779, y = s_225)[name = tensor("op_1782")]; tensor var_1783 = mul(x = var_1782, y = s_225)[name = tensor("op_1783")]; tensor s_227 = add(x = x_311, y = var_1783)[name = tensor("s_227")]; 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 = slice_by_index(begin = input_207_begin_0, end = input_207_end_0, end_mask = input_207_end_mask_0, x = x_309)[name = tensor("input_207")]; tensor l_107 = leaky_relu(alpha = var_25, x = input_207)[name = tensor("l_107")]; tensor input_209_interleave_0 = const()[name = tensor("input_209_interleave_0"), val = tensor(false)]; tensor input_209 = concat(axis = var_30, interleave = input_209_interleave_0, values = (s_227, l_107))[name = tensor("input_209")]; tensor const_51 = const()[name = tensor("const_51"), val = tensor(0x0p+0)]; 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 x_313 = pad(constant_val = const_51, mode = x_313_mode_0, pad = x_313_pad_0, x = input_209)[name = tensor("x_313")]; 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 x_315 = conv(bias = m_decoder_res_layers_2_res_blocks_2_res_blocks_1_input_conv_bias, 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, x = x_313)[name = tensor("x_315")]; 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 = slice_by_index(begin = x_317_begin_0, end = x_317_end_0, end_mask = x_317_end_mask_0, x = x_315)[name = tensor("x_317")]; tensor var_1803 = mul(x = m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha, y = x_317)[name = tensor("op_1803")]; tensor s_229 = sin(x = var_1803)[name = tensor("s_229")]; tensor var_1807 = const()[name = tensor("op_1807"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126314624)))]; tensor var_1810 = mul(x = var_1807, y = s_229)[name = tensor("op_1810")]; tensor var_1811 = mul(x = var_1810, y = s_229)[name = tensor("op_1811")]; tensor s_231 = add(x = x_317, y = var_1811)[name = tensor("s_231")]; 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 = slice_by_index(begin = input_211_begin_0, end = input_211_end_0, end_mask = input_211_end_mask_0, x = x_315)[name = tensor("input_211")]; tensor l_109 = leaky_relu(alpha = var_25, x = input_211)[name = tensor("l_109")]; tensor input_213_interleave_0 = const()[name = tensor("input_213_interleave_0"), val = tensor(false)]; tensor input_213 = concat(axis = var_30, interleave = input_213_interleave_0, values = (s_231, l_109))[name = tensor("input_213")]; tensor const_52 = const()[name = tensor("const_52"), val = tensor(0x0p+0)]; 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 x_319 = pad(constant_val = const_52, mode = x_319_mode_0, pad = x_319_pad_0, x = input_213)[name = tensor("x_319")]; 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 h_51 = conv(bias = m_decoder_res_layers_2_res_blocks_2_res_blocks_1_skip_conv_bias, 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, x = x_319)[name = tensor("h_51")]; tensor x_321 = add(x = x_309, y = h_51)[name = tensor("x_321")]; 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 = slice_by_index(begin = x_323_begin_0, end = x_323_end_0, end_mask = x_323_end_mask_0, x = x_321)[name = tensor("x_323")]; tensor var_1836 = mul(x = m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha, y = x_323)[name = tensor("op_1836")]; tensor s_233 = sin(x = var_1836)[name = tensor("s_233")]; tensor var_1840 = const()[name = tensor("op_1840"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126314944)))]; tensor var_1843 = mul(x = var_1840, y = s_233)[name = tensor("op_1843")]; tensor var_1844 = mul(x = var_1843, y = s_233)[name = tensor("op_1844")]; tensor s_235 = add(x = x_323, y = var_1844)[name = tensor("s_235")]; 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 = slice_by_index(begin = input_215_begin_0, end = input_215_end_0, end_mask = input_215_end_mask_0, x = x_321)[name = tensor("input_215")]; tensor l_111 = leaky_relu(alpha = var_25, x = input_215)[name = tensor("l_111")]; tensor input_217_interleave_0 = const()[name = tensor("input_217_interleave_0"), val = tensor(false)]; tensor input_217 = concat(axis = var_30, interleave = input_217_interleave_0, values = (s_235, l_111))[name = tensor("input_217")]; tensor const_53 = const()[name = tensor("const_53"), val = tensor(0x0p+0)]; 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 x_325 = pad(constant_val = const_53, mode = x_325_mode_0, pad = x_325_pad_0, x = input_217)[name = tensor("x_325")]; 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 x_327 = conv(bias = m_decoder_res_layers_2_res_blocks_2_res_blocks_2_input_conv_bias, 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, x = x_325)[name = tensor("x_327")]; 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 = slice_by_index(begin = x_329_begin_0, end = x_329_end_0, end_mask = x_329_end_mask_0, x = x_327)[name = tensor("x_329")]; tensor var_1864 = mul(x = m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha, y = x_329)[name = tensor("op_1864")]; tensor s_237 = sin(x = var_1864)[name = tensor("s_237")]; tensor var_1868 = const()[name = tensor("op_1868"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126315264)))]; tensor var_1871 = mul(x = var_1868, y = s_237)[name = tensor("op_1871")]; tensor var_1872 = mul(x = var_1871, y = s_237)[name = tensor("op_1872")]; tensor s_239 = add(x = x_329, y = var_1872)[name = tensor("s_239")]; 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 = slice_by_index(begin = input_219_begin_0, end = input_219_end_0, end_mask = input_219_end_mask_0, x = x_327)[name = tensor("input_219")]; tensor l_113 = leaky_relu(alpha = var_25, x = input_219)[name = tensor("l_113")]; tensor input_221_interleave_0 = const()[name = tensor("input_221_interleave_0"), val = tensor(false)]; tensor input_221 = concat(axis = var_30, interleave = input_221_interleave_0, values = (s_239, l_113))[name = tensor("input_221")]; tensor const_54 = const()[name = tensor("const_54"), val = tensor(0x0p+0)]; 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 x_331 = pad(constant_val = const_54, mode = x_331_mode_0, pad = x_331_pad_0, x = input_221)[name = tensor("x_331")]; 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 h_53 = conv(bias = m_decoder_res_layers_2_res_blocks_2_res_blocks_2_skip_conv_bias, 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, x = x_331)[name = tensor("h_53")]; tensor o_11 = add(x = x_321, y = h_53)[name = tensor("o_11")]; tensor s_243 = add(x = s_241, y = o_9)[name = tensor("s_243")]; tensor s_245 = add(x = s_243, y = o_11)[name = tensor("s_245")]; tensor _inversed_x_333_y_0 = const()[name = tensor("_inversed_x_333_y_0"), val = tensor(0x1.555556p-2)]; tensor _inversed_x_333 = mul(x = s_245, y = _inversed_x_333_y_0)[name = tensor("_inversed_x_333")]; 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 = slice_by_index(begin = x_335_begin_0, end = x_335_end_0, end_mask = x_335_end_mask_0, x = _inversed_x_333)[name = tensor("x_335")]; tensor var_1897 = mul(x = m_decoder_activations_3_snake_act_alpha, y = x_335)[name = tensor("op_1897")]; tensor s_247 = sin(x = var_1897)[name = tensor("s_247")]; tensor var_1901 = const()[name = tensor("op_1901"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126315584)))]; tensor var_1904 = mul(x = var_1901, y = s_247)[name = tensor("op_1904")]; tensor var_1905 = mul(x = var_1904, y = s_247)[name = tensor("op_1905")]; tensor s_249 = add(x = x_335, y = var_1905)[name = tensor("s_249")]; 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 = slice_by_index(begin = input_223_begin_0, end = input_223_end_0, end_mask = input_223_end_mask_0, x = _inversed_x_333)[name = tensor("input_223")]; tensor l_115 = leaky_relu(alpha = var_25, x = input_223)[name = tensor("l_115")]; tensor x_337_interleave_0 = const()[name = tensor("x_337_interleave_0"), val = tensor(false)]; tensor x_337 = concat(axis = var_30, interleave = x_337_interleave_0, values = (s_249, l_115))[name = tensor("x_337")]; 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 y_7_has_output_shape = conv_transpose(bias = m_decoder_up_sample_conv_layers_3_bias, 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, x = x_337)[name = tensor("y_7_has_output_shape")]; 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 = 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)[name = tensor("x_339")]; 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 = slice_by_index(begin = x_341_begin_0, end = x_341_end_0, end_mask = x_341_end_mask_0, x = x_339)[name = tensor("x_341")]; tensor var_1942 = mul(x = m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha, y = x_341)[name = tensor("op_1942")]; tensor s_251 = sin(x = var_1942)[name = tensor("s_251")]; tensor var_1946 = const()[name = tensor("op_1946"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126315904)))]; tensor var_1949 = mul(x = var_1946, y = s_251)[name = tensor("op_1949")]; tensor var_1950 = mul(x = var_1949, y = s_251)[name = tensor("op_1950")]; tensor s_253 = add(x = x_341, y = var_1950)[name = tensor("s_253")]; 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 = slice_by_index(begin = input_225_begin_0, end = input_225_end_0, end_mask = input_225_end_mask_0, x = x_339)[name = tensor("input_225")]; tensor l_117 = leaky_relu(alpha = var_25, x = input_225)[name = tensor("l_117")]; tensor input_227_interleave_0 = const()[name = tensor("input_227_interleave_0"), val = tensor(false)]; tensor input_227 = concat(axis = var_30, interleave = input_227_interleave_0, values = (s_253, l_117))[name = tensor("input_227")]; tensor const_55 = const()[name = tensor("const_55"), val = tensor(0x0p+0)]; 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 x_343 = pad(constant_val = const_55, mode = x_343_mode_0, pad = x_343_pad_0, x = input_227)[name = tensor("x_343")]; 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 x_345 = conv(bias = m_decoder_res_layers_3_res_blocks_0_res_blocks_0_input_conv_bias, 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, x = x_343)[name = tensor("x_345")]; 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 = slice_by_index(begin = x_347_begin_0, end = x_347_end_0, end_mask = x_347_end_mask_0, x = x_345)[name = tensor("x_347")]; tensor var_1970 = mul(x = m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha, y = x_347)[name = tensor("op_1970")]; tensor s_255 = sin(x = var_1970)[name = tensor("s_255")]; tensor var_1974 = const()[name = tensor("op_1974"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126316096)))]; tensor var_1977 = mul(x = var_1974, y = s_255)[name = tensor("op_1977")]; tensor var_1978 = mul(x = var_1977, y = s_255)[name = tensor("op_1978")]; tensor s_257 = add(x = x_347, y = var_1978)[name = tensor("s_257")]; 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 = slice_by_index(begin = input_229_begin_0, end = input_229_end_0, end_mask = input_229_end_mask_0, x = x_345)[name = tensor("input_229")]; tensor l_119 = leaky_relu(alpha = var_25, x = input_229)[name = tensor("l_119")]; tensor input_231_interleave_0 = const()[name = tensor("input_231_interleave_0"), val = tensor(false)]; tensor input_231 = concat(axis = var_30, interleave = input_231_interleave_0, values = (s_257, l_119))[name = tensor("input_231")]; tensor const_56 = const()[name = tensor("const_56"), val = tensor(0x0p+0)]; 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 x_349 = pad(constant_val = const_56, mode = x_349_mode_0, pad = x_349_pad_0, x = input_231)[name = tensor("x_349")]; 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 h_55 = conv(bias = m_decoder_res_layers_3_res_blocks_0_res_blocks_0_skip_conv_bias, 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, x = x_349)[name = tensor("h_55")]; tensor x_351 = add(x = x_339, y = h_55)[name = tensor("x_351")]; 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 = slice_by_index(begin = x_353_begin_0, end = x_353_end_0, end_mask = x_353_end_mask_0, x = x_351)[name = tensor("x_353")]; tensor var_2003 = mul(x = m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha, y = x_353)[name = tensor("op_2003")]; tensor s_259 = sin(x = var_2003)[name = tensor("s_259")]; tensor var_2007 = const()[name = tensor("op_2007"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126316288)))]; tensor var_2010 = mul(x = var_2007, y = s_259)[name = tensor("op_2010")]; tensor var_2011 = mul(x = var_2010, y = s_259)[name = tensor("op_2011")]; tensor s_261 = add(x = x_353, y = var_2011)[name = tensor("s_261")]; 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 = slice_by_index(begin = input_233_begin_0, end = input_233_end_0, end_mask = input_233_end_mask_0, x = x_351)[name = tensor("input_233")]; tensor l_121 = leaky_relu(alpha = var_25, x = input_233)[name = tensor("l_121")]; tensor input_235_interleave_0 = const()[name = tensor("input_235_interleave_0"), val = tensor(false)]; tensor input_235 = concat(axis = var_30, interleave = input_235_interleave_0, values = (s_261, l_121))[name = tensor("input_235")]; tensor const_57 = const()[name = tensor("const_57"), val = tensor(0x0p+0)]; 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 x_355 = pad(constant_val = const_57, mode = x_355_mode_0, pad = x_355_pad_0, x = input_235)[name = tensor("x_355")]; 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 x_357 = conv(bias = m_decoder_res_layers_3_res_blocks_0_res_blocks_1_input_conv_bias, 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, x = x_355)[name = tensor("x_357")]; 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 = slice_by_index(begin = x_359_begin_0, end = x_359_end_0, end_mask = x_359_end_mask_0, x = x_357)[name = tensor("x_359")]; tensor var_2031 = mul(x = m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha, y = x_359)[name = tensor("op_2031")]; tensor s_263 = sin(x = var_2031)[name = tensor("s_263")]; tensor var_2035 = const()[name = tensor("op_2035"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126316480)))]; tensor var_2038 = mul(x = var_2035, y = s_263)[name = tensor("op_2038")]; tensor var_2039 = mul(x = var_2038, y = s_263)[name = tensor("op_2039")]; tensor s_265 = add(x = x_359, y = var_2039)[name = tensor("s_265")]; 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 = slice_by_index(begin = input_237_begin_0, end = input_237_end_0, end_mask = input_237_end_mask_0, x = x_357)[name = tensor("input_237")]; tensor l_123 = leaky_relu(alpha = var_25, x = input_237)[name = tensor("l_123")]; tensor input_239_interleave_0 = const()[name = tensor("input_239_interleave_0"), val = tensor(false)]; tensor input_239 = concat(axis = var_30, interleave = input_239_interleave_0, values = (s_265, l_123))[name = tensor("input_239")]; tensor const_58 = const()[name = tensor("const_58"), val = tensor(0x0p+0)]; 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 x_361 = pad(constant_val = const_58, mode = x_361_mode_0, pad = x_361_pad_0, x = input_239)[name = tensor("x_361")]; 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 h_57 = conv(bias = m_decoder_res_layers_3_res_blocks_0_res_blocks_1_skip_conv_bias, 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, x = x_361)[name = tensor("h_57")]; tensor x_363 = add(x = x_351, y = h_57)[name = tensor("x_363")]; 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 = slice_by_index(begin = x_365_begin_0, end = x_365_end_0, end_mask = x_365_end_mask_0, x = x_363)[name = tensor("x_365")]; tensor var_2064 = mul(x = m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha, y = x_365)[name = tensor("op_2064")]; tensor s_267 = sin(x = var_2064)[name = tensor("s_267")]; tensor var_2068 = const()[name = tensor("op_2068"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126316672)))]; tensor var_2071 = mul(x = var_2068, y = s_267)[name = tensor("op_2071")]; tensor var_2072 = mul(x = var_2071, y = s_267)[name = tensor("op_2072")]; tensor s_269 = add(x = x_365, y = var_2072)[name = tensor("s_269")]; 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 = slice_by_index(begin = input_241_begin_0, end = input_241_end_0, end_mask = input_241_end_mask_0, x = x_363)[name = tensor("input_241")]; tensor l_125 = leaky_relu(alpha = var_25, x = input_241)[name = tensor("l_125")]; tensor input_243_interleave_0 = const()[name = tensor("input_243_interleave_0"), val = tensor(false)]; tensor input_243 = concat(axis = var_30, interleave = input_243_interleave_0, values = (s_269, l_125))[name = tensor("input_243")]; tensor const_59 = const()[name = tensor("const_59"), val = tensor(0x0p+0)]; 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 x_367 = pad(constant_val = const_59, mode = x_367_mode_0, pad = x_367_pad_0, x = input_243)[name = tensor("x_367")]; 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 x_369 = conv(bias = m_decoder_res_layers_3_res_blocks_0_res_blocks_2_input_conv_bias, 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, x = x_367)[name = tensor("x_369")]; 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 = slice_by_index(begin = x_371_begin_0, end = x_371_end_0, end_mask = x_371_end_mask_0, x = x_369)[name = tensor("x_371")]; tensor var_2092 = mul(x = m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha, y = x_371)[name = tensor("op_2092")]; tensor s_271 = sin(x = var_2092)[name = tensor("s_271")]; tensor var_2096 = const()[name = tensor("op_2096"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126316864)))]; tensor var_2099 = mul(x = var_2096, y = s_271)[name = tensor("op_2099")]; tensor var_2100 = mul(x = var_2099, y = s_271)[name = tensor("op_2100")]; tensor s_273 = add(x = x_371, y = var_2100)[name = tensor("s_273")]; 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 = slice_by_index(begin = input_245_begin_0, end = input_245_end_0, end_mask = input_245_end_mask_0, x = x_369)[name = tensor("input_245")]; tensor l_127 = leaky_relu(alpha = var_25, x = input_245)[name = tensor("l_127")]; tensor input_247_interleave_0 = const()[name = tensor("input_247_interleave_0"), val = tensor(false)]; tensor input_247 = concat(axis = var_30, interleave = input_247_interleave_0, values = (s_273, l_127))[name = tensor("input_247")]; tensor const_60 = const()[name = tensor("const_60"), val = tensor(0x0p+0)]; 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 x_373 = pad(constant_val = const_60, mode = x_373_mode_0, pad = x_373_pad_0, x = input_247)[name = tensor("x_373")]; 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 h_59 = conv(bias = m_decoder_res_layers_3_res_blocks_0_res_blocks_2_skip_conv_bias, 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, x = x_373)[name = tensor("h_59")]; tensor s_323 = add(x = x_363, y = h_59)[name = tensor("s_323")]; tensor var_2131 = mul(x = m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha, y = x_341)[name = tensor("op_2131")]; tensor s_275 = sin(x = var_2131)[name = tensor("s_275")]; tensor var_2135 = const()[name = tensor("op_2135"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126317056)))]; tensor var_2138 = mul(x = var_2135, y = s_275)[name = tensor("op_2138")]; tensor var_2139 = mul(x = var_2138, y = s_275)[name = tensor("op_2139")]; tensor s_277 = add(x = x_341, y = var_2139)[name = tensor("s_277")]; tensor input_251_interleave_0 = const()[name = tensor("input_251_interleave_0"), val = tensor(false)]; tensor input_251 = concat(axis = var_30, interleave = input_251_interleave_0, values = (s_277, l_117))[name = tensor("input_251")]; tensor const_61 = const()[name = tensor("const_61"), val = tensor(0x0p+0)]; 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 x_377 = pad(constant_val = const_61, mode = x_377_mode_0, pad = x_377_pad_0, x = input_251)[name = tensor("x_377")]; 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 x_379 = conv(bias = m_decoder_res_layers_3_res_blocks_1_res_blocks_0_input_conv_bias, 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, x = x_377)[name = tensor("x_379")]; 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 = slice_by_index(begin = x_381_begin_0, end = x_381_end_0, end_mask = x_381_end_mask_0, x = x_379)[name = tensor("x_381")]; tensor var_2159 = mul(x = m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha, y = x_381)[name = tensor("op_2159")]; tensor s_279 = sin(x = var_2159)[name = tensor("s_279")]; tensor var_2163 = const()[name = tensor("op_2163"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126317248)))]; tensor var_2166 = mul(x = var_2163, y = s_279)[name = tensor("op_2166")]; tensor var_2167 = mul(x = var_2166, y = s_279)[name = tensor("op_2167")]; tensor s_281 = add(x = x_381, y = var_2167)[name = tensor("s_281")]; 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 = slice_by_index(begin = input_253_begin_0, end = input_253_end_0, end_mask = input_253_end_mask_0, x = x_379)[name = tensor("input_253")]; tensor l_131 = leaky_relu(alpha = var_25, x = input_253)[name = tensor("l_131")]; tensor input_255_interleave_0 = const()[name = tensor("input_255_interleave_0"), val = tensor(false)]; tensor input_255 = concat(axis = var_30, interleave = input_255_interleave_0, values = (s_281, l_131))[name = tensor("input_255")]; tensor const_62 = const()[name = tensor("const_62"), val = tensor(0x0p+0)]; 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 x_383 = pad(constant_val = const_62, mode = x_383_mode_0, pad = x_383_pad_0, x = input_255)[name = tensor("x_383")]; 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 h_61 = conv(bias = m_decoder_res_layers_3_res_blocks_1_res_blocks_0_skip_conv_bias, 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, x = x_383)[name = tensor("h_61")]; tensor x_385 = add(x = x_339, y = h_61)[name = tensor("x_385")]; 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 = slice_by_index(begin = x_387_begin_0, end = x_387_end_0, end_mask = x_387_end_mask_0, x = x_385)[name = tensor("x_387")]; tensor var_2192 = mul(x = m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha, y = x_387)[name = tensor("op_2192")]; tensor s_283 = sin(x = var_2192)[name = tensor("s_283")]; tensor var_2196 = const()[name = tensor("op_2196"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126317440)))]; tensor var_2199 = mul(x = var_2196, y = s_283)[name = tensor("op_2199")]; tensor var_2200 = mul(x = var_2199, y = s_283)[name = tensor("op_2200")]; tensor s_285 = add(x = x_387, y = var_2200)[name = tensor("s_285")]; 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 = slice_by_index(begin = input_257_begin_0, end = input_257_end_0, end_mask = input_257_end_mask_0, x = x_385)[name = tensor("input_257")]; tensor l_133 = leaky_relu(alpha = var_25, x = input_257)[name = tensor("l_133")]; tensor input_259_interleave_0 = const()[name = tensor("input_259_interleave_0"), val = tensor(false)]; tensor input_259 = concat(axis = var_30, interleave = input_259_interleave_0, values = (s_285, l_133))[name = tensor("input_259")]; tensor const_63 = const()[name = tensor("const_63"), val = tensor(0x0p+0)]; 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 x_389 = pad(constant_val = const_63, mode = x_389_mode_0, pad = x_389_pad_0, x = input_259)[name = tensor("x_389")]; 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 x_391 = conv(bias = m_decoder_res_layers_3_res_blocks_1_res_blocks_1_input_conv_bias, 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, x = x_389)[name = tensor("x_391")]; 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 = slice_by_index(begin = x_393_begin_0, end = x_393_end_0, end_mask = x_393_end_mask_0, x = x_391)[name = tensor("x_393")]; tensor var_2220 = mul(x = m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha, y = x_393)[name = tensor("op_2220")]; tensor s_287 = sin(x = var_2220)[name = tensor("s_287")]; tensor var_2224 = const()[name = tensor("op_2224"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126317632)))]; tensor var_2227 = mul(x = var_2224, y = s_287)[name = tensor("op_2227")]; tensor var_2228 = mul(x = var_2227, y = s_287)[name = tensor("op_2228")]; tensor s_289 = add(x = x_393, y = var_2228)[name = tensor("s_289")]; 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 = slice_by_index(begin = input_261_begin_0, end = input_261_end_0, end_mask = input_261_end_mask_0, x = x_391)[name = tensor("input_261")]; tensor l_135 = leaky_relu(alpha = var_25, x = input_261)[name = tensor("l_135")]; tensor input_263_interleave_0 = const()[name = tensor("input_263_interleave_0"), val = tensor(false)]; tensor input_263 = concat(axis = var_30, interleave = input_263_interleave_0, values = (s_289, l_135))[name = tensor("input_263")]; tensor const_64 = const()[name = tensor("const_64"), val = tensor(0x0p+0)]; 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 x_395 = pad(constant_val = const_64, mode = x_395_mode_0, pad = x_395_pad_0, x = input_263)[name = tensor("x_395")]; 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 h_63 = conv(bias = m_decoder_res_layers_3_res_blocks_1_res_blocks_1_skip_conv_bias, 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, x = x_395)[name = tensor("h_63")]; tensor x_397 = add(x = x_385, y = h_63)[name = tensor("x_397")]; 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 = slice_by_index(begin = x_399_begin_0, end = x_399_end_0, end_mask = x_399_end_mask_0, x = x_397)[name = tensor("x_399")]; tensor var_2253 = mul(x = m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha, y = x_399)[name = tensor("op_2253")]; tensor s_291 = sin(x = var_2253)[name = tensor("s_291")]; tensor var_2257 = const()[name = tensor("op_2257"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126317824)))]; tensor var_2260 = mul(x = var_2257, y = s_291)[name = tensor("op_2260")]; tensor var_2261 = mul(x = var_2260, y = s_291)[name = tensor("op_2261")]; tensor s_293 = add(x = x_399, y = var_2261)[name = tensor("s_293")]; 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 = slice_by_index(begin = input_265_begin_0, end = input_265_end_0, end_mask = input_265_end_mask_0, x = x_397)[name = tensor("input_265")]; tensor l_137 = leaky_relu(alpha = var_25, x = input_265)[name = tensor("l_137")]; tensor input_267_interleave_0 = const()[name = tensor("input_267_interleave_0"), val = tensor(false)]; tensor input_267 = concat(axis = var_30, interleave = input_267_interleave_0, values = (s_293, l_137))[name = tensor("input_267")]; tensor const_65 = const()[name = tensor("const_65"), val = tensor(0x0p+0)]; 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 x_401 = pad(constant_val = const_65, mode = x_401_mode_0, pad = x_401_pad_0, x = input_267)[name = tensor("x_401")]; 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 x_403 = conv(bias = m_decoder_res_layers_3_res_blocks_1_res_blocks_2_input_conv_bias, 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, x = x_401)[name = tensor("x_403")]; 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 = slice_by_index(begin = x_405_begin_0, end = x_405_end_0, end_mask = x_405_end_mask_0, x = x_403)[name = tensor("x_405")]; tensor var_2281 = mul(x = m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha, y = x_405)[name = tensor("op_2281")]; tensor s_295 = sin(x = var_2281)[name = tensor("s_295")]; tensor var_2285 = const()[name = tensor("op_2285"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126318016)))]; tensor var_2288 = mul(x = var_2285, y = s_295)[name = tensor("op_2288")]; tensor var_2289 = mul(x = var_2288, y = s_295)[name = tensor("op_2289")]; tensor s_297 = add(x = x_405, y = var_2289)[name = tensor("s_297")]; 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 = slice_by_index(begin = input_269_begin_0, end = input_269_end_0, end_mask = input_269_end_mask_0, x = x_403)[name = tensor("input_269")]; tensor l_139 = leaky_relu(alpha = var_25, x = input_269)[name = tensor("l_139")]; tensor input_271_interleave_0 = const()[name = tensor("input_271_interleave_0"), val = tensor(false)]; tensor input_271 = concat(axis = var_30, interleave = input_271_interleave_0, values = (s_297, l_139))[name = tensor("input_271")]; tensor const_66 = const()[name = tensor("const_66"), val = tensor(0x0p+0)]; 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 x_407 = pad(constant_val = const_66, mode = x_407_mode_0, pad = x_407_pad_0, x = input_271)[name = tensor("x_407")]; 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 h_65 = conv(bias = m_decoder_res_layers_3_res_blocks_1_res_blocks_2_skip_conv_bias, 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, x = x_407)[name = tensor("h_65")]; tensor o_13 = add(x = x_397, y = h_65)[name = tensor("o_13")]; tensor var_2320 = mul(x = m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha, y = x_341)[name = tensor("op_2320")]; tensor s_299 = sin(x = var_2320)[name = tensor("s_299")]; tensor var_2324 = const()[name = tensor("op_2324"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126318208)))]; tensor var_2327 = mul(x = var_2324, y = s_299)[name = tensor("op_2327")]; tensor var_2328 = mul(x = var_2327, y = s_299)[name = tensor("op_2328")]; tensor s_301 = add(x = x_341, y = var_2328)[name = tensor("s_301")]; tensor input_275_interleave_0 = const()[name = tensor("input_275_interleave_0"), val = tensor(false)]; tensor input_275 = concat(axis = var_30, interleave = input_275_interleave_0, values = (s_301, l_117))[name = tensor("input_275")]; tensor const_67 = const()[name = tensor("const_67"), val = tensor(0x0p+0)]; 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 x_411 = pad(constant_val = const_67, mode = x_411_mode_0, pad = x_411_pad_0, x = input_275)[name = tensor("x_411")]; 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 x_413 = conv(bias = m_decoder_res_layers_3_res_blocks_2_res_blocks_0_input_conv_bias, 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, x = x_411)[name = tensor("x_413")]; 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 = slice_by_index(begin = x_415_begin_0, end = x_415_end_0, end_mask = x_415_end_mask_0, x = x_413)[name = tensor("x_415")]; tensor var_2348 = mul(x = m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha, y = x_415)[name = tensor("op_2348")]; tensor s_303 = sin(x = var_2348)[name = tensor("s_303")]; tensor var_2352 = const()[name = tensor("op_2352"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126318400)))]; tensor var_2355 = mul(x = var_2352, y = s_303)[name = tensor("op_2355")]; tensor var_2356 = mul(x = var_2355, y = s_303)[name = tensor("op_2356")]; tensor s_305 = add(x = x_415, y = var_2356)[name = tensor("s_305")]; 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 = slice_by_index(begin = input_277_begin_0, end = input_277_end_0, end_mask = input_277_end_mask_0, x = x_413)[name = tensor("input_277")]; tensor l_143 = leaky_relu(alpha = var_25, x = input_277)[name = tensor("l_143")]; tensor input_279_interleave_0 = const()[name = tensor("input_279_interleave_0"), val = tensor(false)]; tensor input_279 = concat(axis = var_30, interleave = input_279_interleave_0, values = (s_305, l_143))[name = tensor("input_279")]; tensor const_68 = const()[name = tensor("const_68"), val = tensor(0x0p+0)]; 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 x_417 = pad(constant_val = const_68, mode = x_417_mode_0, pad = x_417_pad_0, x = input_279)[name = tensor("x_417")]; 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 h_67 = conv(bias = m_decoder_res_layers_3_res_blocks_2_res_blocks_0_skip_conv_bias, 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, x = x_417)[name = tensor("h_67")]; tensor x_419 = add(x = x_339, y = h_67)[name = tensor("x_419")]; 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 = slice_by_index(begin = x_421_begin_0, end = x_421_end_0, end_mask = x_421_end_mask_0, x = x_419)[name = tensor("x_421")]; tensor var_2381 = mul(x = m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha, y = x_421)[name = tensor("op_2381")]; tensor s_307 = sin(x = var_2381)[name = tensor("s_307")]; tensor var_2385 = const()[name = tensor("op_2385"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126318592)))]; tensor var_2388 = mul(x = var_2385, y = s_307)[name = tensor("op_2388")]; tensor var_2389 = mul(x = var_2388, y = s_307)[name = tensor("op_2389")]; tensor s_309 = add(x = x_421, y = var_2389)[name = tensor("s_309")]; 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 = slice_by_index(begin = input_281_begin_0, end = input_281_end_0, end_mask = input_281_end_mask_0, x = x_419)[name = tensor("input_281")]; tensor l_145 = leaky_relu(alpha = var_25, x = input_281)[name = tensor("l_145")]; tensor input_283_interleave_0 = const()[name = tensor("input_283_interleave_0"), val = tensor(false)]; tensor input_283 = concat(axis = var_30, interleave = input_283_interleave_0, values = (s_309, l_145))[name = tensor("input_283")]; tensor const_69 = const()[name = tensor("const_69"), val = tensor(0x0p+0)]; 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 x_423 = pad(constant_val = const_69, mode = x_423_mode_0, pad = x_423_pad_0, x = input_283)[name = tensor("x_423")]; 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 x_425 = conv(bias = m_decoder_res_layers_3_res_blocks_2_res_blocks_1_input_conv_bias, 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, x = x_423)[name = tensor("x_425")]; 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 = slice_by_index(begin = x_427_begin_0, end = x_427_end_0, end_mask = x_427_end_mask_0, x = x_425)[name = tensor("x_427")]; tensor var_2409 = mul(x = m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha, y = x_427)[name = tensor("op_2409")]; tensor s_311 = sin(x = var_2409)[name = tensor("s_311")]; tensor var_2413 = const()[name = tensor("op_2413"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126318784)))]; tensor var_2416 = mul(x = var_2413, y = s_311)[name = tensor("op_2416")]; tensor var_2417 = mul(x = var_2416, y = s_311)[name = tensor("op_2417")]; tensor s_313 = add(x = x_427, y = var_2417)[name = tensor("s_313")]; 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 = slice_by_index(begin = input_285_begin_0, end = input_285_end_0, end_mask = input_285_end_mask_0, x = x_425)[name = tensor("input_285")]; tensor l_147 = leaky_relu(alpha = var_25, x = input_285)[name = tensor("l_147")]; tensor input_287_interleave_0 = const()[name = tensor("input_287_interleave_0"), val = tensor(false)]; tensor input_287 = concat(axis = var_30, interleave = input_287_interleave_0, values = (s_313, l_147))[name = tensor("input_287")]; tensor const_70 = const()[name = tensor("const_70"), val = tensor(0x0p+0)]; 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 x_429 = pad(constant_val = const_70, mode = x_429_mode_0, pad = x_429_pad_0, x = input_287)[name = tensor("x_429")]; 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 h_69 = conv(bias = m_decoder_res_layers_3_res_blocks_2_res_blocks_1_skip_conv_bias, 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, x = x_429)[name = tensor("h_69")]; tensor x_431 = add(x = x_419, y = h_69)[name = tensor("x_431")]; 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 = slice_by_index(begin = x_433_begin_0, end = x_433_end_0, end_mask = x_433_end_mask_0, x = x_431)[name = tensor("x_433")]; tensor var_2442 = mul(x = m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha, y = x_433)[name = tensor("op_2442")]; tensor s_315 = sin(x = var_2442)[name = tensor("s_315")]; tensor var_2446 = const()[name = tensor("op_2446"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126318976)))]; tensor var_2449 = mul(x = var_2446, y = s_315)[name = tensor("op_2449")]; tensor var_2450 = mul(x = var_2449, y = s_315)[name = tensor("op_2450")]; tensor s_317 = add(x = x_433, y = var_2450)[name = tensor("s_317")]; 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 = slice_by_index(begin = input_289_begin_0, end = input_289_end_0, end_mask = input_289_end_mask_0, x = x_431)[name = tensor("input_289")]; tensor l_149 = leaky_relu(alpha = var_25, x = input_289)[name = tensor("l_149")]; tensor input_291_interleave_0 = const()[name = tensor("input_291_interleave_0"), val = tensor(false)]; tensor input_291 = concat(axis = var_30, interleave = input_291_interleave_0, values = (s_317, l_149))[name = tensor("input_291")]; tensor const_71 = const()[name = tensor("const_71"), val = tensor(0x0p+0)]; 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 x_435 = pad(constant_val = const_71, mode = x_435_mode_0, pad = x_435_pad_0, x = input_291)[name = tensor("x_435")]; 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 x_437 = conv(bias = m_decoder_res_layers_3_res_blocks_2_res_blocks_2_input_conv_bias, 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, x = x_435)[name = tensor("x_437")]; 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 = slice_by_index(begin = x_439_begin_0, end = x_439_end_0, end_mask = x_439_end_mask_0, x = x_437)[name = tensor("x_439")]; tensor var_2470 = mul(x = m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha, y = x_439)[name = tensor("op_2470")]; tensor s_319 = sin(x = var_2470)[name = tensor("s_319")]; tensor var_2474 = const()[name = tensor("op_2474"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126319168)))]; tensor var_2477 = mul(x = var_2474, y = s_319)[name = tensor("op_2477")]; tensor var_2478 = mul(x = var_2477, y = s_319)[name = tensor("op_2478")]; tensor s_321 = add(x = x_439, y = var_2478)[name = tensor("s_321")]; 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 = slice_by_index(begin = input_293_begin_0, end = input_293_end_0, end_mask = input_293_end_mask_0, x = x_437)[name = tensor("input_293")]; tensor l_151 = leaky_relu(alpha = var_25, x = input_293)[name = tensor("l_151")]; tensor input_295_interleave_0 = const()[name = tensor("input_295_interleave_0"), val = tensor(false)]; tensor input_295 = concat(axis = var_30, interleave = input_295_interleave_0, values = (s_321, l_151))[name = tensor("input_295")]; tensor const_72 = const()[name = tensor("const_72"), val = tensor(0x0p+0)]; 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 x_441 = pad(constant_val = const_72, mode = x_441_mode_0, pad = x_441_pad_0, x = input_295)[name = tensor("x_441")]; 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 h_71 = conv(bias = m_decoder_res_layers_3_res_blocks_2_res_blocks_2_skip_conv_bias, 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, x = x_441)[name = tensor("h_71")]; tensor o_15 = add(x = x_431, y = h_71)[name = tensor("o_15")]; tensor s_325 = add(x = s_323, y = o_13)[name = tensor("s_325")]; tensor s_327 = add(x = s_325, y = o_15)[name = tensor("s_327")]; tensor _inversed_x_443_y_0 = const()[name = tensor("_inversed_x_443_y_0"), val = tensor(0x1.555556p-2)]; tensor _inversed_x_443 = mul(x = s_327, y = _inversed_x_443_y_0)[name = tensor("_inversed_x_443")]; 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 = slice_by_index(begin = x_445_begin_0, end = x_445_end_0, end_mask = x_445_end_mask_0, x = _inversed_x_443)[name = tensor("x_445")]; tensor var_2503 = mul(x = m_decoder_activations_4_snake_act_alpha, y = x_445)[name = tensor("op_2503")]; tensor s_329 = sin(x = var_2503)[name = tensor("s_329")]; tensor var_2507 = const()[name = tensor("op_2507"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126319360)))]; tensor var_2510 = mul(x = var_2507, y = s_329)[name = tensor("op_2510")]; tensor var_2511 = mul(x = var_2510, y = s_329)[name = tensor("op_2511")]; tensor s_331 = add(x = x_445, y = var_2511)[name = tensor("s_331")]; 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 = slice_by_index(begin = input_297_begin_0, end = input_297_end_0, end_mask = input_297_end_mask_0, x = _inversed_x_443)[name = tensor("input_297")]; tensor l_153 = leaky_relu(alpha = var_25, x = input_297)[name = tensor("l_153")]; tensor x_447_interleave_0 = const()[name = tensor("x_447_interleave_0"), val = tensor(false)]; tensor x_447 = concat(axis = var_30, interleave = x_447_interleave_0, values = (s_331, l_153))[name = tensor("x_447")]; 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 y_has_output_shape = conv_transpose(bias = m_decoder_up_sample_conv_layers_4_bias, 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, x = x_447)[name = tensor("y_has_output_shape")]; 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 = 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)[name = tensor("x_449")]; 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 = slice_by_index(begin = x_451_begin_0, end = x_451_end_0, end_mask = x_451_end_mask_0, x = x_449)[name = tensor("x_451")]; tensor var_2548 = mul(x = m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_activation_snake_act_alpha, y = x_451)[name = tensor("op_2548")]; tensor s_333 = sin(x = var_2548)[name = tensor("s_333")]; tensor var_2552 = const()[name = tensor("op_2552"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126319552)))]; tensor var_2555 = mul(x = var_2552, y = s_333)[name = tensor("op_2555")]; tensor var_2556 = mul(x = var_2555, y = s_333)[name = tensor("op_2556")]; tensor s_335 = add(x = x_451, y = var_2556)[name = tensor("s_335")]; 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 = slice_by_index(begin = input_299_begin_0, end = input_299_end_0, end_mask = input_299_end_mask_0, x = x_449)[name = tensor("input_299")]; tensor l_155 = leaky_relu(alpha = var_25, x = input_299)[name = tensor("l_155")]; tensor input_301_interleave_0 = const()[name = tensor("input_301_interleave_0"), val = tensor(false)]; tensor input_301 = concat(axis = var_30, interleave = input_301_interleave_0, values = (s_335, l_155))[name = tensor("input_301")]; tensor const_73 = const()[name = tensor("const_73"), val = tensor(0x0p+0)]; 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 x_453 = pad(constant_val = const_73, mode = x_453_mode_0, pad = x_453_pad_0, x = input_301)[name = tensor("x_453")]; 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 x_455 = conv(bias = m_decoder_res_layers_4_res_blocks_0_res_blocks_0_input_conv_bias, 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, x = x_453)[name = tensor("x_455")]; 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 = slice_by_index(begin = x_457_begin_0, end = x_457_end_0, end_mask = x_457_end_mask_0, x = x_455)[name = tensor("x_457")]; tensor var_2576 = mul(x = m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_activation_snake_act_alpha, y = x_457)[name = tensor("op_2576")]; tensor s_337 = sin(x = var_2576)[name = tensor("s_337")]; tensor var_2580 = const()[name = tensor("op_2580"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126319680)))]; tensor var_2583 = mul(x = var_2580, y = s_337)[name = tensor("op_2583")]; tensor var_2584 = mul(x = var_2583, y = s_337)[name = tensor("op_2584")]; tensor s_339 = add(x = x_457, y = var_2584)[name = tensor("s_339")]; 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 = slice_by_index(begin = input_303_begin_0, end = input_303_end_0, end_mask = input_303_end_mask_0, x = x_455)[name = tensor("input_303")]; tensor l_157 = leaky_relu(alpha = var_25, x = input_303)[name = tensor("l_157")]; tensor input_305_interleave_0 = const()[name = tensor("input_305_interleave_0"), val = tensor(false)]; tensor input_305 = concat(axis = var_30, interleave = input_305_interleave_0, values = (s_339, l_157))[name = tensor("input_305")]; tensor const_74 = const()[name = tensor("const_74"), val = tensor(0x0p+0)]; 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 x_459 = pad(constant_val = const_74, mode = x_459_mode_0, pad = x_459_pad_0, x = input_305)[name = tensor("x_459")]; 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 h_73 = conv(bias = m_decoder_res_layers_4_res_blocks_0_res_blocks_0_skip_conv_bias, 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, x = x_459)[name = tensor("h_73")]; tensor x_461 = add(x = x_449, y = h_73)[name = tensor("x_461")]; 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 = slice_by_index(begin = x_463_begin_0, end = x_463_end_0, end_mask = x_463_end_mask_0, x = x_461)[name = tensor("x_463")]; tensor var_2609 = mul(x = m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_activation_snake_act_alpha, y = x_463)[name = tensor("op_2609")]; tensor s_341 = sin(x = var_2609)[name = tensor("s_341")]; tensor var_2613 = const()[name = tensor("op_2613"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126319808)))]; tensor var_2616 = mul(x = var_2613, y = s_341)[name = tensor("op_2616")]; tensor var_2617 = mul(x = var_2616, y = s_341)[name = tensor("op_2617")]; tensor s_343 = add(x = x_463, y = var_2617)[name = tensor("s_343")]; 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 = slice_by_index(begin = input_307_begin_0, end = input_307_end_0, end_mask = input_307_end_mask_0, x = x_461)[name = tensor("input_307")]; tensor l_159 = leaky_relu(alpha = var_25, x = input_307)[name = tensor("l_159")]; tensor input_309_interleave_0 = const()[name = tensor("input_309_interleave_0"), val = tensor(false)]; tensor input_309 = concat(axis = var_30, interleave = input_309_interleave_0, values = (s_343, l_159))[name = tensor("input_309")]; tensor const_75 = const()[name = tensor("const_75"), val = tensor(0x0p+0)]; 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 x_465 = pad(constant_val = const_75, mode = x_465_mode_0, pad = x_465_pad_0, x = input_309)[name = tensor("x_465")]; 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 x_467 = conv(bias = m_decoder_res_layers_4_res_blocks_0_res_blocks_1_input_conv_bias, 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, x = x_465)[name = tensor("x_467")]; 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 = slice_by_index(begin = x_469_begin_0, end = x_469_end_0, end_mask = x_469_end_mask_0, x = x_467)[name = tensor("x_469")]; tensor var_2637 = mul(x = m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_activation_snake_act_alpha, y = x_469)[name = tensor("op_2637")]; tensor s_345 = sin(x = var_2637)[name = tensor("s_345")]; tensor var_2641 = const()[name = tensor("op_2641"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126319936)))]; tensor var_2644 = mul(x = var_2641, y = s_345)[name = tensor("op_2644")]; tensor var_2645 = mul(x = var_2644, y = s_345)[name = tensor("op_2645")]; tensor s_347 = add(x = x_469, y = var_2645)[name = tensor("s_347")]; 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 = slice_by_index(begin = input_311_begin_0, end = input_311_end_0, end_mask = input_311_end_mask_0, x = x_467)[name = tensor("input_311")]; tensor l_161 = leaky_relu(alpha = var_25, x = input_311)[name = tensor("l_161")]; tensor input_313_interleave_0 = const()[name = tensor("input_313_interleave_0"), val = tensor(false)]; tensor input_313 = concat(axis = var_30, interleave = input_313_interleave_0, values = (s_347, l_161))[name = tensor("input_313")]; tensor const_76 = const()[name = tensor("const_76"), val = tensor(0x0p+0)]; 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 x_471 = pad(constant_val = const_76, mode = x_471_mode_0, pad = x_471_pad_0, x = input_313)[name = tensor("x_471")]; 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 h_75 = conv(bias = m_decoder_res_layers_4_res_blocks_0_res_blocks_1_skip_conv_bias, 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, x = x_471)[name = tensor("h_75")]; tensor x_473 = add(x = x_461, y = h_75)[name = tensor("x_473")]; 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 = slice_by_index(begin = x_475_begin_0, end = x_475_end_0, end_mask = x_475_end_mask_0, x = x_473)[name = tensor("x_475")]; tensor var_2670 = mul(x = m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_activation_snake_act_alpha, y = x_475)[name = tensor("op_2670")]; tensor s_349 = sin(x = var_2670)[name = tensor("s_349")]; tensor var_2674 = const()[name = tensor("op_2674"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126320064)))]; tensor var_2677 = mul(x = var_2674, y = s_349)[name = tensor("op_2677")]; tensor var_2678 = mul(x = var_2677, y = s_349)[name = tensor("op_2678")]; tensor s_351 = add(x = x_475, y = var_2678)[name = tensor("s_351")]; 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 = slice_by_index(begin = input_315_begin_0, end = input_315_end_0, end_mask = input_315_end_mask_0, x = x_473)[name = tensor("input_315")]; tensor l_163 = leaky_relu(alpha = var_25, x = input_315)[name = tensor("l_163")]; tensor input_317_interleave_0 = const()[name = tensor("input_317_interleave_0"), val = tensor(false)]; tensor input_317 = concat(axis = var_30, interleave = input_317_interleave_0, values = (s_351, l_163))[name = tensor("input_317")]; tensor const_77 = const()[name = tensor("const_77"), val = tensor(0x0p+0)]; 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 x_477 = pad(constant_val = const_77, mode = x_477_mode_0, pad = x_477_pad_0, x = input_317)[name = tensor("x_477")]; 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 x_479 = conv(bias = m_decoder_res_layers_4_res_blocks_0_res_blocks_2_input_conv_bias, 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, x = x_477)[name = tensor("x_479")]; 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 = slice_by_index(begin = x_481_begin_0, end = x_481_end_0, end_mask = x_481_end_mask_0, x = x_479)[name = tensor("x_481")]; tensor var_2698 = mul(x = m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_activation_snake_act_alpha, y = x_481)[name = tensor("op_2698")]; tensor s_353 = sin(x = var_2698)[name = tensor("s_353")]; tensor var_2702 = const()[name = tensor("op_2702"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126320192)))]; tensor var_2705 = mul(x = var_2702, y = s_353)[name = tensor("op_2705")]; tensor var_2706 = mul(x = var_2705, y = s_353)[name = tensor("op_2706")]; tensor s_355 = add(x = x_481, y = var_2706)[name = tensor("s_355")]; 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 = slice_by_index(begin = input_319_begin_0, end = input_319_end_0, end_mask = input_319_end_mask_0, x = x_479)[name = tensor("input_319")]; tensor l_165 = leaky_relu(alpha = var_25, x = input_319)[name = tensor("l_165")]; tensor input_321_interleave_0 = const()[name = tensor("input_321_interleave_0"), val = tensor(false)]; tensor input_321 = concat(axis = var_30, interleave = input_321_interleave_0, values = (s_355, l_165))[name = tensor("input_321")]; tensor const_78 = const()[name = tensor("const_78"), val = tensor(0x0p+0)]; 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 x_483 = pad(constant_val = const_78, mode = x_483_mode_0, pad = x_483_pad_0, x = input_321)[name = tensor("x_483")]; 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 h_77 = conv(bias = m_decoder_res_layers_4_res_blocks_0_res_blocks_2_skip_conv_bias, 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, x = x_483)[name = tensor("h_77")]; tensor s_405 = add(x = x_473, y = h_77)[name = tensor("s_405")]; tensor var_2737 = mul(x = m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_activation_snake_act_alpha, y = x_451)[name = tensor("op_2737")]; tensor s_357 = sin(x = var_2737)[name = tensor("s_357")]; tensor var_2741 = const()[name = tensor("op_2741"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126320320)))]; tensor var_2744 = mul(x = var_2741, y = s_357)[name = tensor("op_2744")]; tensor var_2745 = mul(x = var_2744, y = s_357)[name = tensor("op_2745")]; tensor s_359 = add(x = x_451, y = var_2745)[name = tensor("s_359")]; tensor input_325_interleave_0 = const()[name = tensor("input_325_interleave_0"), val = tensor(false)]; tensor input_325 = concat(axis = var_30, interleave = input_325_interleave_0, values = (s_359, l_155))[name = tensor("input_325")]; tensor const_79 = const()[name = tensor("const_79"), val = tensor(0x0p+0)]; 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 x_487 = pad(constant_val = const_79, mode = x_487_mode_0, pad = x_487_pad_0, x = input_325)[name = tensor("x_487")]; 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 x_489 = conv(bias = m_decoder_res_layers_4_res_blocks_1_res_blocks_0_input_conv_bias, 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, x = x_487)[name = tensor("x_489")]; 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 = slice_by_index(begin = x_491_begin_0, end = x_491_end_0, end_mask = x_491_end_mask_0, x = x_489)[name = tensor("x_491")]; tensor var_2765 = mul(x = m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_activation_snake_act_alpha, y = x_491)[name = tensor("op_2765")]; tensor s_361 = sin(x = var_2765)[name = tensor("s_361")]; tensor var_2769 = const()[name = tensor("op_2769"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126320448)))]; tensor var_2772 = mul(x = var_2769, y = s_361)[name = tensor("op_2772")]; tensor var_2773 = mul(x = var_2772, y = s_361)[name = tensor("op_2773")]; tensor s_363 = add(x = x_491, y = var_2773)[name = tensor("s_363")]; 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 = slice_by_index(begin = input_327_begin_0, end = input_327_end_0, end_mask = input_327_end_mask_0, x = x_489)[name = tensor("input_327")]; tensor l_169 = leaky_relu(alpha = var_25, x = input_327)[name = tensor("l_169")]; tensor input_329_interleave_0 = const()[name = tensor("input_329_interleave_0"), val = tensor(false)]; tensor input_329 = concat(axis = var_30, interleave = input_329_interleave_0, values = (s_363, l_169))[name = tensor("input_329")]; tensor const_80 = const()[name = tensor("const_80"), val = tensor(0x0p+0)]; 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 x_493 = pad(constant_val = const_80, mode = x_493_mode_0, pad = x_493_pad_0, x = input_329)[name = tensor("x_493")]; 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 h_79 = conv(bias = m_decoder_res_layers_4_res_blocks_1_res_blocks_0_skip_conv_bias, 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, x = x_493)[name = tensor("h_79")]; tensor x_495 = add(x = x_449, y = h_79)[name = tensor("x_495")]; 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 = slice_by_index(begin = x_497_begin_0, end = x_497_end_0, end_mask = x_497_end_mask_0, x = x_495)[name = tensor("x_497")]; tensor var_2798 = mul(x = m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_activation_snake_act_alpha, y = x_497)[name = tensor("op_2798")]; tensor s_365 = sin(x = var_2798)[name = tensor("s_365")]; tensor var_2802 = const()[name = tensor("op_2802"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126320576)))]; tensor var_2805 = mul(x = var_2802, y = s_365)[name = tensor("op_2805")]; tensor var_2806 = mul(x = var_2805, y = s_365)[name = tensor("op_2806")]; tensor s_367 = add(x = x_497, y = var_2806)[name = tensor("s_367")]; 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 = slice_by_index(begin = input_331_begin_0, end = input_331_end_0, end_mask = input_331_end_mask_0, x = x_495)[name = tensor("input_331")]; tensor l_171 = leaky_relu(alpha = var_25, x = input_331)[name = tensor("l_171")]; tensor input_333_interleave_0 = const()[name = tensor("input_333_interleave_0"), val = tensor(false)]; tensor input_333 = concat(axis = var_30, interleave = input_333_interleave_0, values = (s_367, l_171))[name = tensor("input_333")]; tensor const_81 = const()[name = tensor("const_81"), val = tensor(0x0p+0)]; 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 x_499 = pad(constant_val = const_81, mode = x_499_mode_0, pad = x_499_pad_0, x = input_333)[name = tensor("x_499")]; 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 x_501 = conv(bias = m_decoder_res_layers_4_res_blocks_1_res_blocks_1_input_conv_bias, 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, x = x_499)[name = tensor("x_501")]; 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 = slice_by_index(begin = x_503_begin_0, end = x_503_end_0, end_mask = x_503_end_mask_0, x = x_501)[name = tensor("x_503")]; tensor var_2826 = mul(x = m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_activation_snake_act_alpha, y = x_503)[name = tensor("op_2826")]; tensor s_369 = sin(x = var_2826)[name = tensor("s_369")]; tensor var_2830 = const()[name = tensor("op_2830"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126320704)))]; tensor var_2833 = mul(x = var_2830, y = s_369)[name = tensor("op_2833")]; tensor var_2834 = mul(x = var_2833, y = s_369)[name = tensor("op_2834")]; tensor s_371 = add(x = x_503, y = var_2834)[name = tensor("s_371")]; 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 = slice_by_index(begin = input_335_begin_0, end = input_335_end_0, end_mask = input_335_end_mask_0, x = x_501)[name = tensor("input_335")]; tensor l_173 = leaky_relu(alpha = var_25, x = input_335)[name = tensor("l_173")]; tensor input_337_interleave_0 = const()[name = tensor("input_337_interleave_0"), val = tensor(false)]; tensor input_337 = concat(axis = var_30, interleave = input_337_interleave_0, values = (s_371, l_173))[name = tensor("input_337")]; tensor const_82 = const()[name = tensor("const_82"), val = tensor(0x0p+0)]; 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 x_505 = pad(constant_val = const_82, mode = x_505_mode_0, pad = x_505_pad_0, x = input_337)[name = tensor("x_505")]; 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 h_81 = conv(bias = m_decoder_res_layers_4_res_blocks_1_res_blocks_1_skip_conv_bias, 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, x = x_505)[name = tensor("h_81")]; tensor x_507 = add(x = x_495, y = h_81)[name = tensor("x_507")]; 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 = slice_by_index(begin = x_509_begin_0, end = x_509_end_0, end_mask = x_509_end_mask_0, x = x_507)[name = tensor("x_509")]; tensor var_2859 = mul(x = m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_activation_snake_act_alpha, y = x_509)[name = tensor("op_2859")]; tensor s_373 = sin(x = var_2859)[name = tensor("s_373")]; tensor var_2863 = const()[name = tensor("op_2863"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126320832)))]; tensor var_2866 = mul(x = var_2863, y = s_373)[name = tensor("op_2866")]; tensor var_2867 = mul(x = var_2866, y = s_373)[name = tensor("op_2867")]; tensor s_375 = add(x = x_509, y = var_2867)[name = tensor("s_375")]; 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 = slice_by_index(begin = input_339_begin_0, end = input_339_end_0, end_mask = input_339_end_mask_0, x = x_507)[name = tensor("input_339")]; tensor l_175 = leaky_relu(alpha = var_25, x = input_339)[name = tensor("l_175")]; tensor input_341_interleave_0 = const()[name = tensor("input_341_interleave_0"), val = tensor(false)]; tensor input_341 = concat(axis = var_30, interleave = input_341_interleave_0, values = (s_375, l_175))[name = tensor("input_341")]; tensor const_83 = const()[name = tensor("const_83"), val = tensor(0x0p+0)]; 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 x_511 = pad(constant_val = const_83, mode = x_511_mode_0, pad = x_511_pad_0, x = input_341)[name = tensor("x_511")]; 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 x_513 = conv(bias = m_decoder_res_layers_4_res_blocks_1_res_blocks_2_input_conv_bias, 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, x = x_511)[name = tensor("x_513")]; 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 = slice_by_index(begin = x_515_begin_0, end = x_515_end_0, end_mask = x_515_end_mask_0, x = x_513)[name = tensor("x_515")]; tensor var_2887 = mul(x = m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_activation_snake_act_alpha, y = x_515)[name = tensor("op_2887")]; tensor s_377 = sin(x = var_2887)[name = tensor("s_377")]; tensor var_2891 = const()[name = tensor("op_2891"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126320960)))]; tensor var_2894 = mul(x = var_2891, y = s_377)[name = tensor("op_2894")]; tensor var_2895 = mul(x = var_2894, y = s_377)[name = tensor("op_2895")]; tensor s_379 = add(x = x_515, y = var_2895)[name = tensor("s_379")]; 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 = slice_by_index(begin = input_343_begin_0, end = input_343_end_0, end_mask = input_343_end_mask_0, x = x_513)[name = tensor("input_343")]; tensor l_177 = leaky_relu(alpha = var_25, x = input_343)[name = tensor("l_177")]; tensor input_345_interleave_0 = const()[name = tensor("input_345_interleave_0"), val = tensor(false)]; tensor input_345 = concat(axis = var_30, interleave = input_345_interleave_0, values = (s_379, l_177))[name = tensor("input_345")]; tensor const_84 = const()[name = tensor("const_84"), val = tensor(0x0p+0)]; 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 x_517 = pad(constant_val = const_84, mode = x_517_mode_0, pad = x_517_pad_0, x = input_345)[name = tensor("x_517")]; 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 h_83 = conv(bias = m_decoder_res_layers_4_res_blocks_1_res_blocks_2_skip_conv_bias, 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, x = x_517)[name = tensor("h_83")]; tensor o_17 = add(x = x_507, y = h_83)[name = tensor("o_17")]; tensor var_2926 = mul(x = m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_activation_snake_act_alpha, y = x_451)[name = tensor("op_2926")]; tensor s_381 = sin(x = var_2926)[name = tensor("s_381")]; tensor var_2930 = const()[name = tensor("op_2930"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126321088)))]; tensor var_2933 = mul(x = var_2930, y = s_381)[name = tensor("op_2933")]; tensor var_2934 = mul(x = var_2933, y = s_381)[name = tensor("op_2934")]; tensor s_383 = add(x = x_451, y = var_2934)[name = tensor("s_383")]; tensor input_349_interleave_0 = const()[name = tensor("input_349_interleave_0"), val = tensor(false)]; tensor input_349 = concat(axis = var_30, interleave = input_349_interleave_0, values = (s_383, l_155))[name = tensor("input_349")]; tensor const_85 = const()[name = tensor("const_85"), val = tensor(0x0p+0)]; 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 x_521 = pad(constant_val = const_85, mode = x_521_mode_0, pad = x_521_pad_0, x = input_349)[name = tensor("x_521")]; 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 x_523 = conv(bias = m_decoder_res_layers_4_res_blocks_2_res_blocks_0_input_conv_bias, 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, x = x_521)[name = tensor("x_523")]; 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 = slice_by_index(begin = x_525_begin_0, end = x_525_end_0, end_mask = x_525_end_mask_0, x = x_523)[name = tensor("x_525")]; tensor var_2954 = mul(x = m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_activation_snake_act_alpha, y = x_525)[name = tensor("op_2954")]; tensor s_385 = sin(x = var_2954)[name = tensor("s_385")]; tensor var_2958 = const()[name = tensor("op_2958"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126321216)))]; tensor var_2961 = mul(x = var_2958, y = s_385)[name = tensor("op_2961")]; tensor var_2962 = mul(x = var_2961, y = s_385)[name = tensor("op_2962")]; tensor s_387 = add(x = x_525, y = var_2962)[name = tensor("s_387")]; 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 = slice_by_index(begin = input_351_begin_0, end = input_351_end_0, end_mask = input_351_end_mask_0, x = x_523)[name = tensor("input_351")]; tensor l_181 = leaky_relu(alpha = var_25, x = input_351)[name = tensor("l_181")]; tensor input_353_interleave_0 = const()[name = tensor("input_353_interleave_0"), val = tensor(false)]; tensor input_353 = concat(axis = var_30, interleave = input_353_interleave_0, values = (s_387, l_181))[name = tensor("input_353")]; tensor const_86 = const()[name = tensor("const_86"), val = tensor(0x0p+0)]; 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 x_527 = pad(constant_val = const_86, mode = x_527_mode_0, pad = x_527_pad_0, x = input_353)[name = tensor("x_527")]; 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 h_85 = conv(bias = m_decoder_res_layers_4_res_blocks_2_res_blocks_0_skip_conv_bias, 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, x = x_527)[name = tensor("h_85")]; tensor x_529 = add(x = x_449, y = h_85)[name = tensor("x_529")]; 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 = slice_by_index(begin = x_531_begin_0, end = x_531_end_0, end_mask = x_531_end_mask_0, x = x_529)[name = tensor("x_531")]; tensor var_2987 = mul(x = m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_activation_snake_act_alpha, y = x_531)[name = tensor("op_2987")]; tensor s_389 = sin(x = var_2987)[name = tensor("s_389")]; tensor var_2991 = const()[name = tensor("op_2991"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126321344)))]; tensor var_2994 = mul(x = var_2991, y = s_389)[name = tensor("op_2994")]; tensor var_2995 = mul(x = var_2994, y = s_389)[name = tensor("op_2995")]; tensor s_391 = add(x = x_531, y = var_2995)[name = tensor("s_391")]; 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 = slice_by_index(begin = input_355_begin_0, end = input_355_end_0, end_mask = input_355_end_mask_0, x = x_529)[name = tensor("input_355")]; tensor l_183 = leaky_relu(alpha = var_25, x = input_355)[name = tensor("l_183")]; tensor input_357_interleave_0 = const()[name = tensor("input_357_interleave_0"), val = tensor(false)]; tensor input_357 = concat(axis = var_30, interleave = input_357_interleave_0, values = (s_391, l_183))[name = tensor("input_357")]; tensor const_87 = const()[name = tensor("const_87"), val = tensor(0x0p+0)]; 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 x_533 = pad(constant_val = const_87, mode = x_533_mode_0, pad = x_533_pad_0, x = input_357)[name = tensor("x_533")]; 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 x_535 = conv(bias = m_decoder_res_layers_4_res_blocks_2_res_blocks_1_input_conv_bias, 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, x = x_533)[name = tensor("x_535")]; 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 = slice_by_index(begin = x_537_begin_0, end = x_537_end_0, end_mask = x_537_end_mask_0, x = x_535)[name = tensor("x_537")]; tensor var_3015 = mul(x = m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_activation_snake_act_alpha, y = x_537)[name = tensor("op_3015")]; tensor s_393 = sin(x = var_3015)[name = tensor("s_393")]; tensor var_3019 = const()[name = tensor("op_3019"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126321472)))]; tensor var_3022 = mul(x = var_3019, y = s_393)[name = tensor("op_3022")]; tensor var_3023 = mul(x = var_3022, y = s_393)[name = tensor("op_3023")]; tensor s_395 = add(x = x_537, y = var_3023)[name = tensor("s_395")]; 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 = slice_by_index(begin = input_359_begin_0, end = input_359_end_0, end_mask = input_359_end_mask_0, x = x_535)[name = tensor("input_359")]; tensor l_185 = leaky_relu(alpha = var_25, x = input_359)[name = tensor("l_185")]; tensor input_361_interleave_0 = const()[name = tensor("input_361_interleave_0"), val = tensor(false)]; tensor input_361 = concat(axis = var_30, interleave = input_361_interleave_0, values = (s_395, l_185))[name = tensor("input_361")]; tensor const_88 = const()[name = tensor("const_88"), val = tensor(0x0p+0)]; 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 x_539 = pad(constant_val = const_88, mode = x_539_mode_0, pad = x_539_pad_0, x = input_361)[name = tensor("x_539")]; 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 h_87 = conv(bias = m_decoder_res_layers_4_res_blocks_2_res_blocks_1_skip_conv_bias, 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, x = x_539)[name = tensor("h_87")]; tensor x_541 = add(x = x_529, y = h_87)[name = tensor("x_541")]; 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 = slice_by_index(begin = x_543_begin_0, end = x_543_end_0, end_mask = x_543_end_mask_0, x = x_541)[name = tensor("x_543")]; tensor var_3048 = mul(x = m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_activation_snake_act_alpha, y = x_543)[name = tensor("op_3048")]; tensor s_397 = sin(x = var_3048)[name = tensor("s_397")]; tensor var_3052 = const()[name = tensor("op_3052"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126321600)))]; tensor var_3055 = mul(x = var_3052, y = s_397)[name = tensor("op_3055")]; tensor var_3056 = mul(x = var_3055, y = s_397)[name = tensor("op_3056")]; tensor s_399 = add(x = x_543, y = var_3056)[name = tensor("s_399")]; 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 = slice_by_index(begin = input_363_begin_0, end = input_363_end_0, end_mask = input_363_end_mask_0, x = x_541)[name = tensor("input_363")]; tensor l_187 = leaky_relu(alpha = var_25, x = input_363)[name = tensor("l_187")]; tensor input_365_interleave_0 = const()[name = tensor("input_365_interleave_0"), val = tensor(false)]; tensor input_365 = concat(axis = var_30, interleave = input_365_interleave_0, values = (s_399, l_187))[name = tensor("input_365")]; tensor const_89 = const()[name = tensor("const_89"), val = tensor(0x0p+0)]; 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 x_545 = pad(constant_val = const_89, mode = x_545_mode_0, pad = x_545_pad_0, x = input_365)[name = tensor("x_545")]; 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 x_547 = conv(bias = m_decoder_res_layers_4_res_blocks_2_res_blocks_2_input_conv_bias, 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, x = x_545)[name = tensor("x_547")]; 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 = slice_by_index(begin = x_549_begin_0, end = x_549_end_0, end_mask = x_549_end_mask_0, x = x_547)[name = tensor("x_549")]; tensor var_3076 = mul(x = m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_activation_snake_act_alpha, y = x_549)[name = tensor("op_3076")]; tensor s_401 = sin(x = var_3076)[name = tensor("s_401")]; tensor var_3080 = const()[name = tensor("op_3080"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126321728)))]; tensor var_3083 = mul(x = var_3080, y = s_401)[name = tensor("op_3083")]; tensor var_3084 = mul(x = var_3083, y = s_401)[name = tensor("op_3084")]; tensor s_403 = add(x = x_549, y = var_3084)[name = tensor("s_403")]; 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 = slice_by_index(begin = input_367_begin_0, end = input_367_end_0, end_mask = input_367_end_mask_0, x = x_547)[name = tensor("input_367")]; tensor l_189 = leaky_relu(alpha = var_25, x = input_367)[name = tensor("l_189")]; tensor input_369_interleave_0 = const()[name = tensor("input_369_interleave_0"), val = tensor(false)]; tensor input_369 = concat(axis = var_30, interleave = input_369_interleave_0, values = (s_403, l_189))[name = tensor("input_369")]; tensor const_90 = const()[name = tensor("const_90"), val = tensor(0x0p+0)]; 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 x_551 = pad(constant_val = const_90, mode = x_551_mode_0, pad = x_551_pad_0, x = input_369)[name = tensor("x_551")]; 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 h = conv(bias = m_decoder_res_layers_4_res_blocks_2_res_blocks_2_skip_conv_bias, 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, x = x_551)[name = tensor("h")]; tensor o = add(x = x_541, y = h)[name = tensor("o")]; tensor s_407 = add(x = s_405, y = o_17)[name = tensor("s_407")]; tensor s_409 = add(x = s_407, y = o)[name = tensor("s_409")]; tensor _inversed_x_553_y_0 = const()[name = tensor("_inversed_x_553_y_0"), val = tensor(0x1.555556p-2)]; tensor _inversed_x_553 = mul(x = s_409, y = _inversed_x_553_y_0)[name = tensor("_inversed_x_553")]; 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 = slice_by_index(begin = x_555_begin_0, end = x_555_end_0, end_mask = x_555_end_mask_0, x = _inversed_x_553)[name = tensor("x_555")]; tensor var_3109 = mul(x = m_decoder_post_activation_snake_act_alpha, y = x_555)[name = tensor("op_3109")]; tensor s_411 = sin(x = var_3109)[name = tensor("s_411")]; tensor var_3113 = const()[name = tensor("op_3113"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(126321856)))]; tensor var_3116 = mul(x = var_3113, y = s_411)[name = tensor("op_3116")]; tensor var_3117 = mul(x = var_3116, y = s_411)[name = tensor("op_3117")]; tensor s = add(x = x_555, y = var_3117)[name = tensor("s")]; 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 = slice_by_index(begin = input_371_begin_0, end = input_371_end_0, end_mask = input_371_end_mask_0, x = _inversed_x_553)[name = tensor("input_371")]; tensor l = leaky_relu(alpha = var_25, x = input_371)[name = tensor("l")]; tensor input_interleave_0 = const()[name = tensor("input_interleave_0"), val = tensor(false)]; tensor input = concat(axis = var_30, interleave = input_interleave_0, values = (s, l))[name = tensor("input")]; tensor const_91 = const()[name = tensor("const_91"), val = tensor(0x0p+0)]; 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 x_557 = pad(constant_val = const_91, mode = x_557_mode_0, pad = x_557_pad_0, x = input)[name = tensor("x_557")]; 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 x_559 = conv(bias = m_decoder_post_conv_bias, 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, x = x_557)[name = tensor("x_559")]; tensor clip_0 = clip(alpha = var_5, beta = var_4, x = x_559)[name = tensor("clip_0")]; tensor var_3134_axes_0 = const()[name = tensor("op_3134_axes_0"), val = tensor([1])]; tensor audio = squeeze(axes = var_3134_axes_0, x = clip_0)[name = tensor("op_3134")]; } -> (audio); }