| program(1.3) | |
| [buildInfo = dict<string, string>({{"coremlc-component-MIL", "3405.2.1"}, {"coremlc-version", "3405.2.1"}})] | |
| { | |
| func main<ios18>(tensor<fp16, [1, 64, ?]> latent_pred) [FlexibleShapeInformation = tuple<tuple<string, dict<string, tensor<int32, [?]>>>, tuple<string, dict<string, dict<string, tensor<int32, [?]>>>>>((("DefaultShapes", {{"latent_pred", [1, 64, 24]}}), ("EnumeratedShapes", {{"5da43f7e", {{"latent_pred", [1, 64, 4]}}}, {"63c16dbf", {{"latent_pred", [1, 64, 32]}}}, {"6a22ea18", {{"latent_pred", [1, 64, 20]}}}, {"6c401123", {{"latent_pred", [1, 64, 28]}}}, {"72618ffd", {{"latent_pred", [1, 64, 12]}}}, {"8ec08bb9", {{"latent_pred", [1, 64, 24]}}}, {"94b66784", {{"latent_pred", [1, 64, 2]}}}, {"cd946381", {{"latent_pred", [1, 64, 8]}}}, {"debd7d94", {{"latent_pred", [1, 64, 16]}}}, {"e870c483", {{"latent_pred", [1, 64, 1]}}}})))] { | |
| tensor<int32, [6]> input_1_pad_0 = const()[name = string("input_1_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])]; | |
| string input_1_mode_0 = const()[name = string("input_1_mode_0"), val = string("constant")]; | |
| fp16 const_0_to_fp16 = const()[name = string("const_0_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 64, ?]> input_1_cast_fp16 = pad(constant_val = const_0_to_fp16, mode = input_1_mode_0, pad = input_1_pad_0, x = latent_pred)[name = string("input_1_cast_fp16")]; | |
| string input_3_pad_type_0 = const()[name = string("input_3_pad_type_0"), val = string("valid")]; | |
| int32 input_3_groups_0 = const()[name = string("input_3_groups_0"), val = int32(64)]; | |
| tensor<int32, [1]> input_3_strides_0 = const()[name = string("input_3_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> input_3_pad_0 = const()[name = string("input_3_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> input_3_dilations_0 = const()[name = string("input_3_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<fp16, [64, 1, 7]> weight_1_to_fp16 = const()[name = string("weight_1_to_fp16"), val = tensor<fp16, [64, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(64)))]; | |
| tensor<fp16, [64]> model_0_bias_to_fp16 = const()[name = string("model_0_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(1024)))]; | |
| tensor<fp16, [1, 64, ?]> input_3_cast_fp16 = conv(bias = model_0_bias_to_fp16, dilations = input_3_dilations_0, groups = input_3_groups_0, pad = input_3_pad_0, pad_type = input_3_pad_type_0, strides = input_3_strides_0, weight = weight_1_to_fp16, x = input_1_cast_fp16)[name = string("input_3_cast_fp16")]; | |
| string x_3_pad_type_0 = const()[name = string("x_3_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> x_3_strides_0 = const()[name = string("x_3_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_3_pad_0 = const()[name = string("x_3_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> x_3_dilations_0 = const()[name = string("x_3_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 x_3_groups_0 = const()[name = string("x_3_groups_0"), val = int32(1)]; | |
| tensor<fp16, [2048, 64, 1]> weight_3_to_fp16 = const()[name = string("weight_3_to_fp16"), val = tensor<fp16, [2048, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(1216)))]; | |
| tensor<fp16, [2048]> model_1_bias_to_fp16 = const()[name = string("model_1_bias_to_fp16"), val = tensor<fp16, [2048]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(263424)))]; | |
| tensor<fp16, [1, 2048, ?]> x_3_cast_fp16 = conv(bias = model_1_bias_to_fp16, dilations = x_3_dilations_0, groups = x_3_groups_0, pad = x_3_pad_0, pad_type = x_3_pad_type_0, strides = x_3_strides_0, weight = weight_3_to_fp16, x = input_3_cast_fp16)[name = string("x_3_cast_fp16")]; | |
| tensor<fp16, [1, 2048, 1]> model_2_block_0_alpha_to_fp16 = const()[name = string("model_2_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 2048, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(267584)))]; | |
| tensor<fp16, [1, 2048, ?]> var_84_cast_fp16 = mul(x = model_2_block_0_alpha_to_fp16, y = x_3_cast_fp16)[name = string("op_84_cast_fp16")]; | |
| tensor<fp16, [1, 2048, ?]> var_85_cast_fp16 = sin(x = var_84_cast_fp16)[name = string("op_85_cast_fp16")]; | |
| fp16 var_16_promoted_to_fp16 = const()[name = string("op_16_promoted_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 2048, ?]> var_86_cast_fp16 = pow(x = var_85_cast_fp16, y = var_16_promoted_to_fp16)[name = string("op_86_cast_fp16")]; | |
| tensor<fp16, [1, 2048, 1]> var_83_to_fp16 = const()[name = string("op_83_to_fp16"), val = tensor<fp16, [1, 2048, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(271744)))]; | |
| tensor<fp16, [1, 2048, ?]> var_87_cast_fp16 = mul(x = var_83_to_fp16, y = var_86_cast_fp16)[name = string("op_87_cast_fp16")]; | |
| tensor<fp16, [1, 2048, ?]> x_7_cast_fp16 = add(x = x_3_cast_fp16, y = var_87_cast_fp16)[name = string("x_7_cast_fp16")]; | |
| string var_97_pad_type_0 = const()[name = string("op_97_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> var_97_strides_0 = const()[name = string("op_97_strides_0"), val = tensor<int32, [1]>([7])]; | |
| tensor<int32, [2]> var_97_pad_0 = const()[name = string("op_97_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> var_97_dilations_0 = const()[name = string("op_97_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 var_97_groups_0 = const()[name = string("op_97_groups_0"), val = int32(1)]; | |
| tensor<fp16, [2048, 1024, 14]> var_91_to_fp16 = const()[name = string("op_91_to_fp16"), val = tensor<fp16, [2048, 1024, 14]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(275904)))]; | |
| tensor<fp16, [1024]> model_2_block_1_bias_to_fp16 = const()[name = string("model_2_block_1_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(58996224)))]; | |
| tensor<fp16, [1, 1024, ?]> var_97_cast_fp16 = conv_transpose(bias = model_2_block_1_bias_to_fp16, dilations = var_97_dilations_0, groups = var_97_groups_0, pad = var_97_pad_0, pad_type = var_97_pad_type_0, strides = var_97_strides_0, weight = var_91_to_fp16, x = x_7_cast_fp16)[name = string("op_97_cast_fp16")]; | |
| tensor<int32, [3]> x_9_begin_0 = const()[name = string("x_9_begin_0"), val = tensor<int32, [3]>([0, 0, 0])]; | |
| tensor<int32, [3]> x_9_end_0 = const()[name = string("x_9_end_0"), val = tensor<int32, [3]>([1, 1024, -7])]; | |
| tensor<bool, [3]> x_9_end_mask_0 = const()[name = string("x_9_end_mask_0"), val = tensor<bool, [3]>([true, true, false])]; | |
| tensor<fp16, [1, 1024, ?]> x_9_cast_fp16 = slice_by_index(begin = x_9_begin_0, end = x_9_end_0, end_mask = x_9_end_mask_0, x = var_97_cast_fp16)[name = string("x_9_cast_fp16")]; | |
| tensor<fp16, [1, 1024, 1]> model_2_block_2_block_0_alpha_to_fp16 = const()[name = string("model_2_block_2_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(58998336)))]; | |
| tensor<fp16, [1, 1024, ?]> var_121_cast_fp16 = mul(x = model_2_block_2_block_0_alpha_to_fp16, y = x_9_cast_fp16)[name = string("op_121_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> var_122_cast_fp16 = sin(x = var_121_cast_fp16)[name = string("op_122_cast_fp16")]; | |
| fp16 var_16_promoted_1_to_fp16 = const()[name = string("op_16_promoted_1_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 1024, ?]> var_123_cast_fp16 = pow(x = var_122_cast_fp16, y = var_16_promoted_1_to_fp16)[name = string("op_123_cast_fp16")]; | |
| tensor<fp16, [1, 1024, 1]> var_120_to_fp16 = const()[name = string("op_120_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(59000448)))]; | |
| tensor<fp16, [1, 1024, ?]> var_124_cast_fp16 = mul(x = var_120_to_fp16, y = var_123_cast_fp16)[name = string("op_124_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> x_13_cast_fp16 = add(x = x_9_cast_fp16, y = var_124_cast_fp16)[name = string("x_13_cast_fp16")]; | |
| tensor<int32, [6]> input_11_pad_0 = const()[name = string("input_11_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])]; | |
| string input_11_mode_0 = const()[name = string("input_11_mode_0"), val = string("constant")]; | |
| fp16 const_2_to_fp16 = const()[name = string("const_2_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 1024, ?]> input_11_cast_fp16 = pad(constant_val = const_2_to_fp16, mode = input_11_mode_0, pad = input_11_pad_0, x = x_13_cast_fp16)[name = string("input_11_cast_fp16")]; | |
| string x_15_pad_type_0 = const()[name = string("x_15_pad_type_0"), val = string("valid")]; | |
| int32 x_15_groups_0 = const()[name = string("x_15_groups_0"), val = int32(1024)]; | |
| tensor<int32, [1]> x_15_strides_0 = const()[name = string("x_15_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_15_pad_0 = const()[name = string("x_15_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> x_15_dilations_0 = const()[name = string("x_15_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<fp16, [1024, 1, 7]> weight_5_to_fp16 = const()[name = string("weight_5_to_fp16"), val = tensor<fp16, [1024, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(59002560)))]; | |
| tensor<fp16, [1024]> model_2_block_2_block_1_bias_to_fp16 = const()[name = string("model_2_block_2_block_1_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(59016960)))]; | |
| tensor<fp16, [1, 1024, ?]> x_15_cast_fp16 = conv(bias = model_2_block_2_block_1_bias_to_fp16, dilations = x_15_dilations_0, groups = x_15_groups_0, pad = x_15_pad_0, pad_type = x_15_pad_type_0, strides = x_15_strides_0, weight = weight_5_to_fp16, x = input_11_cast_fp16)[name = string("x_15_cast_fp16")]; | |
| tensor<fp16, [1, 1024, 1]> model_2_block_2_block_2_alpha_to_fp16 = const()[name = string("model_2_block_2_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(59019072)))]; | |
| tensor<fp16, [1, 1024, ?]> var_146_cast_fp16 = mul(x = model_2_block_2_block_2_alpha_to_fp16, y = x_15_cast_fp16)[name = string("op_146_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> var_147_cast_fp16 = sin(x = var_146_cast_fp16)[name = string("op_147_cast_fp16")]; | |
| fp16 var_16_promoted_2_to_fp16 = const()[name = string("op_16_promoted_2_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 1024, ?]> var_148_cast_fp16 = pow(x = var_147_cast_fp16, y = var_16_promoted_2_to_fp16)[name = string("op_148_cast_fp16")]; | |
| tensor<fp16, [1, 1024, 1]> var_145_to_fp16 = const()[name = string("op_145_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(59021184)))]; | |
| tensor<fp16, [1, 1024, ?]> var_149_cast_fp16 = mul(x = var_145_to_fp16, y = var_148_cast_fp16)[name = string("op_149_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> x_19_cast_fp16 = add(x = x_15_cast_fp16, y = var_149_cast_fp16)[name = string("x_19_cast_fp16")]; | |
| string y_1_pad_type_0 = const()[name = string("y_1_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_1_strides_0 = const()[name = string("y_1_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_1_pad_0 = const()[name = string("y_1_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_1_dilations_0 = const()[name = string("y_1_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_1_groups_0 = const()[name = string("y_1_groups_0"), val = int32(1)]; | |
| tensor<fp16, [1024, 1024, 1]> weight_7_to_fp16 = const()[name = string("weight_7_to_fp16"), val = tensor<fp16, [1024, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(59023296)))]; | |
| tensor<fp16, [1024]> model_2_block_2_block_3_bias_to_fp16 = const()[name = string("model_2_block_2_block_3_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(61120512)))]; | |
| tensor<fp16, [1, 1024, ?]> y_1_cast_fp16 = conv(bias = model_2_block_2_block_3_bias_to_fp16, dilations = y_1_dilations_0, groups = y_1_groups_0, pad = y_1_pad_0, pad_type = y_1_pad_type_0, strides = y_1_strides_0, weight = weight_7_to_fp16, x = x_19_cast_fp16)[name = string("y_1_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> x_21_cast_fp16 = add(x = x_9_cast_fp16, y = y_1_cast_fp16)[name = string("x_21_cast_fp16")]; | |
| tensor<fp16, [1, 1024, 1]> model_2_block_3_block_0_alpha_to_fp16 = const()[name = string("model_2_block_3_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(61122624)))]; | |
| tensor<fp16, [1, 1024, ?]> var_185_cast_fp16 = mul(x = model_2_block_3_block_0_alpha_to_fp16, y = x_21_cast_fp16)[name = string("op_185_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> var_186_cast_fp16 = sin(x = var_185_cast_fp16)[name = string("op_186_cast_fp16")]; | |
| fp16 var_16_promoted_3_to_fp16 = const()[name = string("op_16_promoted_3_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 1024, ?]> var_187_cast_fp16 = pow(x = var_186_cast_fp16, y = var_16_promoted_3_to_fp16)[name = string("op_187_cast_fp16")]; | |
| tensor<fp16, [1, 1024, 1]> var_184_to_fp16 = const()[name = string("op_184_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(61124736)))]; | |
| tensor<fp16, [1, 1024, ?]> var_188_cast_fp16 = mul(x = var_184_to_fp16, y = var_187_cast_fp16)[name = string("op_188_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> x_25_cast_fp16 = add(x = x_21_cast_fp16, y = var_188_cast_fp16)[name = string("x_25_cast_fp16")]; | |
| tensor<int32, [6]> input_19_pad_0 = const()[name = string("input_19_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 18, 0])]; | |
| string input_19_mode_0 = const()[name = string("input_19_mode_0"), val = string("constant")]; | |
| fp16 const_4_to_fp16 = const()[name = string("const_4_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 1024, ?]> input_19_cast_fp16 = pad(constant_val = const_4_to_fp16, mode = input_19_mode_0, pad = input_19_pad_0, x = x_25_cast_fp16)[name = string("input_19_cast_fp16")]; | |
| string x_27_pad_type_0 = const()[name = string("x_27_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> x_27_dilations_0 = const()[name = string("x_27_dilations_0"), val = tensor<int32, [1]>([3])]; | |
| int32 x_27_groups_0 = const()[name = string("x_27_groups_0"), val = int32(1024)]; | |
| tensor<int32, [1]> x_27_strides_0 = const()[name = string("x_27_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_27_pad_0 = const()[name = string("x_27_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<fp16, [1024, 1, 7]> weight_9_to_fp16 = const()[name = string("weight_9_to_fp16"), val = tensor<fp16, [1024, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(61126848)))]; | |
| tensor<fp16, [1024]> model_2_block_3_block_1_bias_to_fp16 = const()[name = string("model_2_block_3_block_1_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(61141248)))]; | |
| tensor<fp16, [1, 1024, ?]> x_27_cast_fp16 = conv(bias = model_2_block_3_block_1_bias_to_fp16, dilations = x_27_dilations_0, groups = x_27_groups_0, pad = x_27_pad_0, pad_type = x_27_pad_type_0, strides = x_27_strides_0, weight = weight_9_to_fp16, x = input_19_cast_fp16)[name = string("x_27_cast_fp16")]; | |
| tensor<fp16, [1, 1024, 1]> model_2_block_3_block_2_alpha_to_fp16 = const()[name = string("model_2_block_3_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(61143360)))]; | |
| tensor<fp16, [1, 1024, ?]> var_210_cast_fp16 = mul(x = model_2_block_3_block_2_alpha_to_fp16, y = x_27_cast_fp16)[name = string("op_210_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> var_211_cast_fp16 = sin(x = var_210_cast_fp16)[name = string("op_211_cast_fp16")]; | |
| fp16 var_16_promoted_4_to_fp16 = const()[name = string("op_16_promoted_4_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 1024, ?]> var_212_cast_fp16 = pow(x = var_211_cast_fp16, y = var_16_promoted_4_to_fp16)[name = string("op_212_cast_fp16")]; | |
| tensor<fp16, [1, 1024, 1]> var_209_to_fp16 = const()[name = string("op_209_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(61145472)))]; | |
| tensor<fp16, [1, 1024, ?]> var_213_cast_fp16 = mul(x = var_209_to_fp16, y = var_212_cast_fp16)[name = string("op_213_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> x_31_cast_fp16 = add(x = x_27_cast_fp16, y = var_213_cast_fp16)[name = string("x_31_cast_fp16")]; | |
| string y_3_pad_type_0 = const()[name = string("y_3_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_3_strides_0 = const()[name = string("y_3_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_3_pad_0 = const()[name = string("y_3_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_3_dilations_0 = const()[name = string("y_3_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_3_groups_0 = const()[name = string("y_3_groups_0"), val = int32(1)]; | |
| tensor<fp16, [1024, 1024, 1]> weight_11_to_fp16 = const()[name = string("weight_11_to_fp16"), val = tensor<fp16, [1024, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(61147584)))]; | |
| tensor<fp16, [1024]> model_2_block_3_block_3_bias_to_fp16 = const()[name = string("model_2_block_3_block_3_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(63244800)))]; | |
| tensor<fp16, [1, 1024, ?]> y_3_cast_fp16 = conv(bias = model_2_block_3_block_3_bias_to_fp16, dilations = y_3_dilations_0, groups = y_3_groups_0, pad = y_3_pad_0, pad_type = y_3_pad_type_0, strides = y_3_strides_0, weight = weight_11_to_fp16, x = x_31_cast_fp16)[name = string("y_3_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> x_33_cast_fp16 = add(x = x_21_cast_fp16, y = y_3_cast_fp16)[name = string("x_33_cast_fp16")]; | |
| tensor<fp16, [1, 1024, 1]> model_2_block_4_block_0_alpha_to_fp16 = const()[name = string("model_2_block_4_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(63246912)))]; | |
| tensor<fp16, [1, 1024, ?]> var_249_cast_fp16 = mul(x = model_2_block_4_block_0_alpha_to_fp16, y = x_33_cast_fp16)[name = string("op_249_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> var_250_cast_fp16 = sin(x = var_249_cast_fp16)[name = string("op_250_cast_fp16")]; | |
| fp16 var_16_promoted_5_to_fp16 = const()[name = string("op_16_promoted_5_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 1024, ?]> var_251_cast_fp16 = pow(x = var_250_cast_fp16, y = var_16_promoted_5_to_fp16)[name = string("op_251_cast_fp16")]; | |
| tensor<fp16, [1, 1024, 1]> var_248_to_fp16 = const()[name = string("op_248_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(63249024)))]; | |
| tensor<fp16, [1, 1024, ?]> var_252_cast_fp16 = mul(x = var_248_to_fp16, y = var_251_cast_fp16)[name = string("op_252_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> x_37_cast_fp16 = add(x = x_33_cast_fp16, y = var_252_cast_fp16)[name = string("x_37_cast_fp16")]; | |
| tensor<int32, [6]> input_27_pad_0 = const()[name = string("input_27_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 54, 0])]; | |
| string input_27_mode_0 = const()[name = string("input_27_mode_0"), val = string("constant")]; | |
| fp16 const_6_to_fp16 = const()[name = string("const_6_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 1024, ?]> input_27_cast_fp16 = pad(constant_val = const_6_to_fp16, mode = input_27_mode_0, pad = input_27_pad_0, x = x_37_cast_fp16)[name = string("input_27_cast_fp16")]; | |
| string x_39_pad_type_0 = const()[name = string("x_39_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> x_39_dilations_0 = const()[name = string("x_39_dilations_0"), val = tensor<int32, [1]>([9])]; | |
| int32 x_39_groups_0 = const()[name = string("x_39_groups_0"), val = int32(1024)]; | |
| tensor<int32, [1]> x_39_strides_0 = const()[name = string("x_39_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_39_pad_0 = const()[name = string("x_39_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<fp16, [1024, 1, 7]> weight_13_to_fp16 = const()[name = string("weight_13_to_fp16"), val = tensor<fp16, [1024, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(63251136)))]; | |
| tensor<fp16, [1024]> model_2_block_4_block_1_bias_to_fp16 = const()[name = string("model_2_block_4_block_1_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(63265536)))]; | |
| tensor<fp16, [1, 1024, ?]> x_39_cast_fp16 = conv(bias = model_2_block_4_block_1_bias_to_fp16, dilations = x_39_dilations_0, groups = x_39_groups_0, pad = x_39_pad_0, pad_type = x_39_pad_type_0, strides = x_39_strides_0, weight = weight_13_to_fp16, x = input_27_cast_fp16)[name = string("x_39_cast_fp16")]; | |
| tensor<fp16, [1, 1024, 1]> model_2_block_4_block_2_alpha_to_fp16 = const()[name = string("model_2_block_4_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(63267648)))]; | |
| tensor<fp16, [1, 1024, ?]> var_274_cast_fp16 = mul(x = model_2_block_4_block_2_alpha_to_fp16, y = x_39_cast_fp16)[name = string("op_274_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> var_275_cast_fp16 = sin(x = var_274_cast_fp16)[name = string("op_275_cast_fp16")]; | |
| fp16 var_16_promoted_6_to_fp16 = const()[name = string("op_16_promoted_6_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 1024, ?]> var_276_cast_fp16 = pow(x = var_275_cast_fp16, y = var_16_promoted_6_to_fp16)[name = string("op_276_cast_fp16")]; | |
| tensor<fp16, [1, 1024, 1]> var_273_to_fp16 = const()[name = string("op_273_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(63269760)))]; | |
| tensor<fp16, [1, 1024, ?]> var_277_cast_fp16 = mul(x = var_273_to_fp16, y = var_276_cast_fp16)[name = string("op_277_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> x_43_cast_fp16 = add(x = x_39_cast_fp16, y = var_277_cast_fp16)[name = string("x_43_cast_fp16")]; | |
| string y_5_pad_type_0 = const()[name = string("y_5_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_5_strides_0 = const()[name = string("y_5_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_5_pad_0 = const()[name = string("y_5_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_5_dilations_0 = const()[name = string("y_5_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_5_groups_0 = const()[name = string("y_5_groups_0"), val = int32(1)]; | |
| tensor<fp16, [1024, 1024, 1]> weight_15_to_fp16 = const()[name = string("weight_15_to_fp16"), val = tensor<fp16, [1024, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(63271872)))]; | |
| tensor<fp16, [1024]> model_2_block_4_block_3_bias_to_fp16 = const()[name = string("model_2_block_4_block_3_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(65369088)))]; | |
| tensor<fp16, [1, 1024, ?]> y_5_cast_fp16 = conv(bias = model_2_block_4_block_3_bias_to_fp16, dilations = y_5_dilations_0, groups = y_5_groups_0, pad = y_5_pad_0, pad_type = y_5_pad_type_0, strides = y_5_strides_0, weight = weight_15_to_fp16, x = x_43_cast_fp16)[name = string("y_5_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> x_45_cast_fp16 = add(x = x_33_cast_fp16, y = y_5_cast_fp16)[name = string("x_45_cast_fp16")]; | |
| tensor<fp16, [1, 1024, 1]> model_3_block_0_alpha_to_fp16 = const()[name = string("model_3_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(65371200)))]; | |
| tensor<fp16, [1, 1024, ?]> var_310_cast_fp16 = mul(x = model_3_block_0_alpha_to_fp16, y = x_45_cast_fp16)[name = string("op_310_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> var_311_cast_fp16 = sin(x = var_310_cast_fp16)[name = string("op_311_cast_fp16")]; | |
| fp16 var_16_promoted_7_to_fp16 = const()[name = string("op_16_promoted_7_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 1024, ?]> var_312_cast_fp16 = pow(x = var_311_cast_fp16, y = var_16_promoted_7_to_fp16)[name = string("op_312_cast_fp16")]; | |
| tensor<fp16, [1, 1024, 1]> var_309_to_fp16 = const()[name = string("op_309_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(65373312)))]; | |
| tensor<fp16, [1, 1024, ?]> var_313_cast_fp16 = mul(x = var_309_to_fp16, y = var_312_cast_fp16)[name = string("op_313_cast_fp16")]; | |
| tensor<fp16, [1, 1024, ?]> x_49_cast_fp16 = add(x = x_45_cast_fp16, y = var_313_cast_fp16)[name = string("x_49_cast_fp16")]; | |
| string var_323_pad_type_0 = const()[name = string("op_323_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> var_323_strides_0 = const()[name = string("op_323_strides_0"), val = tensor<int32, [1]>([7])]; | |
| tensor<int32, [2]> var_323_pad_0 = const()[name = string("op_323_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> var_323_dilations_0 = const()[name = string("op_323_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 var_323_groups_0 = const()[name = string("op_323_groups_0"), val = int32(1)]; | |
| tensor<fp16, [1024, 512, 14]> var_317_to_fp16 = const()[name = string("op_317_to_fp16"), val = tensor<fp16, [1024, 512, 14]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(65375424)))]; | |
| tensor<fp16, [512]> model_3_block_1_bias_to_fp16 = const()[name = string("model_3_block_1_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80055552)))]; | |
| tensor<fp16, [1, 512, ?]> var_323_cast_fp16 = conv_transpose(bias = model_3_block_1_bias_to_fp16, dilations = var_323_dilations_0, groups = var_323_groups_0, pad = var_323_pad_0, pad_type = var_323_pad_type_0, strides = var_323_strides_0, weight = var_317_to_fp16, x = x_49_cast_fp16)[name = string("op_323_cast_fp16")]; | |
| tensor<int32, [3]> x_51_begin_0 = const()[name = string("x_51_begin_0"), val = tensor<int32, [3]>([0, 0, 0])]; | |
| tensor<int32, [3]> x_51_end_0 = const()[name = string("x_51_end_0"), val = tensor<int32, [3]>([1, 512, -7])]; | |
| tensor<bool, [3]> x_51_end_mask_0 = const()[name = string("x_51_end_mask_0"), val = tensor<bool, [3]>([true, true, false])]; | |
| tensor<fp16, [1, 512, ?]> x_51_cast_fp16 = slice_by_index(begin = x_51_begin_0, end = x_51_end_0, end_mask = x_51_end_mask_0, x = var_323_cast_fp16)[name = string("x_51_cast_fp16")]; | |
| tensor<fp16, [1, 512, 1]> model_3_block_2_block_0_alpha_to_fp16 = const()[name = string("model_3_block_2_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80056640)))]; | |
| tensor<fp16, [1, 512, ?]> var_347_cast_fp16 = mul(x = model_3_block_2_block_0_alpha_to_fp16, y = x_51_cast_fp16)[name = string("op_347_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> var_348_cast_fp16 = sin(x = var_347_cast_fp16)[name = string("op_348_cast_fp16")]; | |
| fp16 var_16_promoted_8_to_fp16 = const()[name = string("op_16_promoted_8_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 512, ?]> var_349_cast_fp16 = pow(x = var_348_cast_fp16, y = var_16_promoted_8_to_fp16)[name = string("op_349_cast_fp16")]; | |
| tensor<fp16, [1, 512, 1]> var_346_to_fp16 = const()[name = string("op_346_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80057728)))]; | |
| tensor<fp16, [1, 512, ?]> var_350_cast_fp16 = mul(x = var_346_to_fp16, y = var_349_cast_fp16)[name = string("op_350_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> x_55_cast_fp16 = add(x = x_51_cast_fp16, y = var_350_cast_fp16)[name = string("x_55_cast_fp16")]; | |
| tensor<int32, [6]> input_37_pad_0 = const()[name = string("input_37_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])]; | |
| string input_37_mode_0 = const()[name = string("input_37_mode_0"), val = string("constant")]; | |
| fp16 const_8_to_fp16 = const()[name = string("const_8_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 512, ?]> input_37_cast_fp16 = pad(constant_val = const_8_to_fp16, mode = input_37_mode_0, pad = input_37_pad_0, x = x_55_cast_fp16)[name = string("input_37_cast_fp16")]; | |
| string x_57_pad_type_0 = const()[name = string("x_57_pad_type_0"), val = string("valid")]; | |
| int32 x_57_groups_0 = const()[name = string("x_57_groups_0"), val = int32(512)]; | |
| tensor<int32, [1]> x_57_strides_0 = const()[name = string("x_57_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_57_pad_0 = const()[name = string("x_57_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> x_57_dilations_0 = const()[name = string("x_57_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<fp16, [512, 1, 7]> weight_17_to_fp16 = const()[name = string("weight_17_to_fp16"), val = tensor<fp16, [512, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80058816)))]; | |
| tensor<fp16, [512]> model_3_block_2_block_1_bias_to_fp16 = const()[name = string("model_3_block_2_block_1_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80066048)))]; | |
| tensor<fp16, [1, 512, ?]> x_57_cast_fp16 = conv(bias = model_3_block_2_block_1_bias_to_fp16, dilations = x_57_dilations_0, groups = x_57_groups_0, pad = x_57_pad_0, pad_type = x_57_pad_type_0, strides = x_57_strides_0, weight = weight_17_to_fp16, x = input_37_cast_fp16)[name = string("x_57_cast_fp16")]; | |
| tensor<fp16, [1, 512, 1]> model_3_block_2_block_2_alpha_to_fp16 = const()[name = string("model_3_block_2_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80067136)))]; | |
| tensor<fp16, [1, 512, ?]> var_372_cast_fp16 = mul(x = model_3_block_2_block_2_alpha_to_fp16, y = x_57_cast_fp16)[name = string("op_372_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> var_373_cast_fp16 = sin(x = var_372_cast_fp16)[name = string("op_373_cast_fp16")]; | |
| fp16 var_16_promoted_9_to_fp16 = const()[name = string("op_16_promoted_9_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 512, ?]> var_374_cast_fp16 = pow(x = var_373_cast_fp16, y = var_16_promoted_9_to_fp16)[name = string("op_374_cast_fp16")]; | |
| tensor<fp16, [1, 512, 1]> var_371_to_fp16 = const()[name = string("op_371_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80068224)))]; | |
| tensor<fp16, [1, 512, ?]> var_375_cast_fp16 = mul(x = var_371_to_fp16, y = var_374_cast_fp16)[name = string("op_375_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> x_61_cast_fp16 = add(x = x_57_cast_fp16, y = var_375_cast_fp16)[name = string("x_61_cast_fp16")]; | |
| string y_7_pad_type_0 = const()[name = string("y_7_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_7_strides_0 = const()[name = string("y_7_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_7_pad_0 = const()[name = string("y_7_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_7_dilations_0 = const()[name = string("y_7_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_7_groups_0 = const()[name = string("y_7_groups_0"), val = int32(1)]; | |
| tensor<fp16, [512, 512, 1]> weight_19_to_fp16 = const()[name = string("weight_19_to_fp16"), val = tensor<fp16, [512, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80069312)))]; | |
| tensor<fp16, [512]> model_3_block_2_block_3_bias_to_fp16 = const()[name = string("model_3_block_2_block_3_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80593664)))]; | |
| tensor<fp16, [1, 512, ?]> y_7_cast_fp16 = conv(bias = model_3_block_2_block_3_bias_to_fp16, dilations = y_7_dilations_0, groups = y_7_groups_0, pad = y_7_pad_0, pad_type = y_7_pad_type_0, strides = y_7_strides_0, weight = weight_19_to_fp16, x = x_61_cast_fp16)[name = string("y_7_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> x_63_cast_fp16 = add(x = x_51_cast_fp16, y = y_7_cast_fp16)[name = string("x_63_cast_fp16")]; | |
| tensor<fp16, [1, 512, 1]> model_3_block_3_block_0_alpha_to_fp16 = const()[name = string("model_3_block_3_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80594752)))]; | |
| tensor<fp16, [1, 512, ?]> var_411_cast_fp16 = mul(x = model_3_block_3_block_0_alpha_to_fp16, y = x_63_cast_fp16)[name = string("op_411_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> var_412_cast_fp16 = sin(x = var_411_cast_fp16)[name = string("op_412_cast_fp16")]; | |
| fp16 var_16_promoted_10_to_fp16 = const()[name = string("op_16_promoted_10_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 512, ?]> var_413_cast_fp16 = pow(x = var_412_cast_fp16, y = var_16_promoted_10_to_fp16)[name = string("op_413_cast_fp16")]; | |
| tensor<fp16, [1, 512, 1]> var_410_to_fp16 = const()[name = string("op_410_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80595840)))]; | |
| tensor<fp16, [1, 512, ?]> var_414_cast_fp16 = mul(x = var_410_to_fp16, y = var_413_cast_fp16)[name = string("op_414_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> x_67_cast_fp16 = add(x = x_63_cast_fp16, y = var_414_cast_fp16)[name = string("x_67_cast_fp16")]; | |
| tensor<int32, [6]> input_45_pad_0 = const()[name = string("input_45_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 18, 0])]; | |
| string input_45_mode_0 = const()[name = string("input_45_mode_0"), val = string("constant")]; | |
| fp16 const_10_to_fp16 = const()[name = string("const_10_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 512, ?]> input_45_cast_fp16 = pad(constant_val = const_10_to_fp16, mode = input_45_mode_0, pad = input_45_pad_0, x = x_67_cast_fp16)[name = string("input_45_cast_fp16")]; | |
| string x_69_pad_type_0 = const()[name = string("x_69_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> x_69_dilations_0 = const()[name = string("x_69_dilations_0"), val = tensor<int32, [1]>([3])]; | |
| int32 x_69_groups_0 = const()[name = string("x_69_groups_0"), val = int32(512)]; | |
| tensor<int32, [1]> x_69_strides_0 = const()[name = string("x_69_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_69_pad_0 = const()[name = string("x_69_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<fp16, [512, 1, 7]> weight_21_to_fp16 = const()[name = string("weight_21_to_fp16"), val = tensor<fp16, [512, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80596928)))]; | |
| tensor<fp16, [512]> model_3_block_3_block_1_bias_to_fp16 = const()[name = string("model_3_block_3_block_1_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80604160)))]; | |
| tensor<fp16, [1, 512, ?]> x_69_cast_fp16 = conv(bias = model_3_block_3_block_1_bias_to_fp16, dilations = x_69_dilations_0, groups = x_69_groups_0, pad = x_69_pad_0, pad_type = x_69_pad_type_0, strides = x_69_strides_0, weight = weight_21_to_fp16, x = input_45_cast_fp16)[name = string("x_69_cast_fp16")]; | |
| tensor<fp16, [1, 512, 1]> model_3_block_3_block_2_alpha_to_fp16 = const()[name = string("model_3_block_3_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80605248)))]; | |
| tensor<fp16, [1, 512, ?]> var_436_cast_fp16 = mul(x = model_3_block_3_block_2_alpha_to_fp16, y = x_69_cast_fp16)[name = string("op_436_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> var_437_cast_fp16 = sin(x = var_436_cast_fp16)[name = string("op_437_cast_fp16")]; | |
| fp16 var_16_promoted_11_to_fp16 = const()[name = string("op_16_promoted_11_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 512, ?]> var_438_cast_fp16 = pow(x = var_437_cast_fp16, y = var_16_promoted_11_to_fp16)[name = string("op_438_cast_fp16")]; | |
| tensor<fp16, [1, 512, 1]> var_435_to_fp16 = const()[name = string("op_435_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80606336)))]; | |
| tensor<fp16, [1, 512, ?]> var_439_cast_fp16 = mul(x = var_435_to_fp16, y = var_438_cast_fp16)[name = string("op_439_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> x_73_cast_fp16 = add(x = x_69_cast_fp16, y = var_439_cast_fp16)[name = string("x_73_cast_fp16")]; | |
| string y_9_pad_type_0 = const()[name = string("y_9_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_9_strides_0 = const()[name = string("y_9_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_9_pad_0 = const()[name = string("y_9_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_9_dilations_0 = const()[name = string("y_9_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_9_groups_0 = const()[name = string("y_9_groups_0"), val = int32(1)]; | |
| tensor<fp16, [512, 512, 1]> weight_23_to_fp16 = const()[name = string("weight_23_to_fp16"), val = tensor<fp16, [512, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80607424)))]; | |
| tensor<fp16, [512]> model_3_block_3_block_3_bias_to_fp16 = const()[name = string("model_3_block_3_block_3_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81131776)))]; | |
| tensor<fp16, [1, 512, ?]> y_9_cast_fp16 = conv(bias = model_3_block_3_block_3_bias_to_fp16, dilations = y_9_dilations_0, groups = y_9_groups_0, pad = y_9_pad_0, pad_type = y_9_pad_type_0, strides = y_9_strides_0, weight = weight_23_to_fp16, x = x_73_cast_fp16)[name = string("y_9_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> x_75_cast_fp16 = add(x = x_63_cast_fp16, y = y_9_cast_fp16)[name = string("x_75_cast_fp16")]; | |
| tensor<fp16, [1, 512, 1]> model_3_block_4_block_0_alpha_to_fp16 = const()[name = string("model_3_block_4_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81132864)))]; | |
| tensor<fp16, [1, 512, ?]> var_475_cast_fp16 = mul(x = model_3_block_4_block_0_alpha_to_fp16, y = x_75_cast_fp16)[name = string("op_475_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> var_476_cast_fp16 = sin(x = var_475_cast_fp16)[name = string("op_476_cast_fp16")]; | |
| fp16 var_16_promoted_12_to_fp16 = const()[name = string("op_16_promoted_12_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 512, ?]> var_477_cast_fp16 = pow(x = var_476_cast_fp16, y = var_16_promoted_12_to_fp16)[name = string("op_477_cast_fp16")]; | |
| tensor<fp16, [1, 512, 1]> var_474_to_fp16 = const()[name = string("op_474_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81133952)))]; | |
| tensor<fp16, [1, 512, ?]> var_478_cast_fp16 = mul(x = var_474_to_fp16, y = var_477_cast_fp16)[name = string("op_478_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> x_79_cast_fp16 = add(x = x_75_cast_fp16, y = var_478_cast_fp16)[name = string("x_79_cast_fp16")]; | |
| tensor<int32, [6]> input_53_pad_0 = const()[name = string("input_53_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 54, 0])]; | |
| string input_53_mode_0 = const()[name = string("input_53_mode_0"), val = string("constant")]; | |
| fp16 const_12_to_fp16 = const()[name = string("const_12_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 512, ?]> input_53_cast_fp16 = pad(constant_val = const_12_to_fp16, mode = input_53_mode_0, pad = input_53_pad_0, x = x_79_cast_fp16)[name = string("input_53_cast_fp16")]; | |
| string x_81_pad_type_0 = const()[name = string("x_81_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> x_81_dilations_0 = const()[name = string("x_81_dilations_0"), val = tensor<int32, [1]>([9])]; | |
| int32 x_81_groups_0 = const()[name = string("x_81_groups_0"), val = int32(512)]; | |
| tensor<int32, [1]> x_81_strides_0 = const()[name = string("x_81_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_81_pad_0 = const()[name = string("x_81_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<fp16, [512, 1, 7]> weight_25_to_fp16 = const()[name = string("weight_25_to_fp16"), val = tensor<fp16, [512, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81135040)))]; | |
| tensor<fp16, [512]> model_3_block_4_block_1_bias_to_fp16 = const()[name = string("model_3_block_4_block_1_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81142272)))]; | |
| tensor<fp16, [1, 512, ?]> x_81_cast_fp16 = conv(bias = model_3_block_4_block_1_bias_to_fp16, dilations = x_81_dilations_0, groups = x_81_groups_0, pad = x_81_pad_0, pad_type = x_81_pad_type_0, strides = x_81_strides_0, weight = weight_25_to_fp16, x = input_53_cast_fp16)[name = string("x_81_cast_fp16")]; | |
| tensor<fp16, [1, 512, 1]> model_3_block_4_block_2_alpha_to_fp16 = const()[name = string("model_3_block_4_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81143360)))]; | |
| tensor<fp16, [1, 512, ?]> var_500_cast_fp16 = mul(x = model_3_block_4_block_2_alpha_to_fp16, y = x_81_cast_fp16)[name = string("op_500_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> var_501_cast_fp16 = sin(x = var_500_cast_fp16)[name = string("op_501_cast_fp16")]; | |
| fp16 var_16_promoted_13_to_fp16 = const()[name = string("op_16_promoted_13_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 512, ?]> var_502_cast_fp16 = pow(x = var_501_cast_fp16, y = var_16_promoted_13_to_fp16)[name = string("op_502_cast_fp16")]; | |
| tensor<fp16, [1, 512, 1]> var_499_to_fp16 = const()[name = string("op_499_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81144448)))]; | |
| tensor<fp16, [1, 512, ?]> var_503_cast_fp16 = mul(x = var_499_to_fp16, y = var_502_cast_fp16)[name = string("op_503_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> x_85_cast_fp16 = add(x = x_81_cast_fp16, y = var_503_cast_fp16)[name = string("x_85_cast_fp16")]; | |
| string y_11_pad_type_0 = const()[name = string("y_11_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_11_strides_0 = const()[name = string("y_11_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_11_pad_0 = const()[name = string("y_11_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_11_dilations_0 = const()[name = string("y_11_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_11_groups_0 = const()[name = string("y_11_groups_0"), val = int32(1)]; | |
| tensor<fp16, [512, 512, 1]> weight_27_to_fp16 = const()[name = string("weight_27_to_fp16"), val = tensor<fp16, [512, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81145536)))]; | |
| tensor<fp16, [512]> model_3_block_4_block_3_bias_to_fp16 = const()[name = string("model_3_block_4_block_3_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81669888)))]; | |
| tensor<fp16, [1, 512, ?]> y_11_cast_fp16 = conv(bias = model_3_block_4_block_3_bias_to_fp16, dilations = y_11_dilations_0, groups = y_11_groups_0, pad = y_11_pad_0, pad_type = y_11_pad_type_0, strides = y_11_strides_0, weight = weight_27_to_fp16, x = x_85_cast_fp16)[name = string("y_11_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> x_87_cast_fp16 = add(x = x_75_cast_fp16, y = y_11_cast_fp16)[name = string("x_87_cast_fp16")]; | |
| tensor<fp16, [1, 512, 1]> model_4_block_0_alpha_to_fp16 = const()[name = string("model_4_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81670976)))]; | |
| tensor<fp16, [1, 512, ?]> var_536_cast_fp16 = mul(x = model_4_block_0_alpha_to_fp16, y = x_87_cast_fp16)[name = string("op_536_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> var_537_cast_fp16 = sin(x = var_536_cast_fp16)[name = string("op_537_cast_fp16")]; | |
| fp16 var_16_promoted_14_to_fp16 = const()[name = string("op_16_promoted_14_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 512, ?]> var_538_cast_fp16 = pow(x = var_537_cast_fp16, y = var_16_promoted_14_to_fp16)[name = string("op_538_cast_fp16")]; | |
| tensor<fp16, [1, 512, 1]> var_535_to_fp16 = const()[name = string("op_535_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81672064)))]; | |
| tensor<fp16, [1, 512, ?]> var_539_cast_fp16 = mul(x = var_535_to_fp16, y = var_538_cast_fp16)[name = string("op_539_cast_fp16")]; | |
| tensor<fp16, [1, 512, ?]> x_91_cast_fp16 = add(x = x_87_cast_fp16, y = var_539_cast_fp16)[name = string("x_91_cast_fp16")]; | |
| string var_549_pad_type_0 = const()[name = string("op_549_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> var_549_strides_0 = const()[name = string("op_549_strides_0"), val = tensor<int32, [1]>([6])]; | |
| tensor<int32, [2]> var_549_pad_0 = const()[name = string("op_549_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> var_549_dilations_0 = const()[name = string("op_549_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 var_549_groups_0 = const()[name = string("op_549_groups_0"), val = int32(1)]; | |
| tensor<fp16, [512, 256, 12]> var_543_to_fp16 = const()[name = string("op_543_to_fp16"), val = tensor<fp16, [512, 256, 12]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81673152)))]; | |
| tensor<fp16, [256]> model_4_block_1_bias_to_fp16 = const()[name = string("model_4_block_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84818944)))]; | |
| tensor<fp16, [1, 256, ?]> var_549_cast_fp16 = conv_transpose(bias = model_4_block_1_bias_to_fp16, dilations = var_549_dilations_0, groups = var_549_groups_0, pad = var_549_pad_0, pad_type = var_549_pad_type_0, strides = var_549_strides_0, weight = var_543_to_fp16, x = x_91_cast_fp16)[name = string("op_549_cast_fp16")]; | |
| tensor<int32, [3]> x_93_begin_0 = const()[name = string("x_93_begin_0"), val = tensor<int32, [3]>([0, 0, 0])]; | |
| tensor<int32, [3]> x_93_end_0 = const()[name = string("x_93_end_0"), val = tensor<int32, [3]>([1, 256, -6])]; | |
| tensor<bool, [3]> x_93_end_mask_0 = const()[name = string("x_93_end_mask_0"), val = tensor<bool, [3]>([true, true, false])]; | |
| tensor<fp16, [1, 256, ?]> x_93_cast_fp16 = slice_by_index(begin = x_93_begin_0, end = x_93_end_0, end_mask = x_93_end_mask_0, x = var_549_cast_fp16)[name = string("x_93_cast_fp16")]; | |
| tensor<fp16, [1, 256, 1]> model_4_block_2_block_0_alpha_to_fp16 = const()[name = string("model_4_block_2_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84819520)))]; | |
| tensor<fp16, [1, 256, ?]> var_573_cast_fp16 = mul(x = model_4_block_2_block_0_alpha_to_fp16, y = x_93_cast_fp16)[name = string("op_573_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> var_574_cast_fp16 = sin(x = var_573_cast_fp16)[name = string("op_574_cast_fp16")]; | |
| fp16 var_16_promoted_15_to_fp16 = const()[name = string("op_16_promoted_15_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 256, ?]> var_575_cast_fp16 = pow(x = var_574_cast_fp16, y = var_16_promoted_15_to_fp16)[name = string("op_575_cast_fp16")]; | |
| tensor<fp16, [1, 256, 1]> var_572_to_fp16 = const()[name = string("op_572_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84820096)))]; | |
| tensor<fp16, [1, 256, ?]> var_576_cast_fp16 = mul(x = var_572_to_fp16, y = var_575_cast_fp16)[name = string("op_576_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> x_97_cast_fp16 = add(x = x_93_cast_fp16, y = var_576_cast_fp16)[name = string("x_97_cast_fp16")]; | |
| tensor<int32, [6]> input_63_pad_0 = const()[name = string("input_63_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])]; | |
| string input_63_mode_0 = const()[name = string("input_63_mode_0"), val = string("constant")]; | |
| fp16 const_14_to_fp16 = const()[name = string("const_14_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 256, ?]> input_63_cast_fp16 = pad(constant_val = const_14_to_fp16, mode = input_63_mode_0, pad = input_63_pad_0, x = x_97_cast_fp16)[name = string("input_63_cast_fp16")]; | |
| string x_99_pad_type_0 = const()[name = string("x_99_pad_type_0"), val = string("valid")]; | |
| int32 x_99_groups_0 = const()[name = string("x_99_groups_0"), val = int32(256)]; | |
| tensor<int32, [1]> x_99_strides_0 = const()[name = string("x_99_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_99_pad_0 = const()[name = string("x_99_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> x_99_dilations_0 = const()[name = string("x_99_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<fp16, [256, 1, 7]> weight_29_to_fp16 = const()[name = string("weight_29_to_fp16"), val = tensor<fp16, [256, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84820672)))]; | |
| tensor<fp16, [256]> model_4_block_2_block_1_bias_to_fp16 = const()[name = string("model_4_block_2_block_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84824320)))]; | |
| tensor<fp16, [1, 256, ?]> x_99_cast_fp16 = conv(bias = model_4_block_2_block_1_bias_to_fp16, dilations = x_99_dilations_0, groups = x_99_groups_0, pad = x_99_pad_0, pad_type = x_99_pad_type_0, strides = x_99_strides_0, weight = weight_29_to_fp16, x = input_63_cast_fp16)[name = string("x_99_cast_fp16")]; | |
| tensor<fp16, [1, 256, 1]> model_4_block_2_block_2_alpha_to_fp16 = const()[name = string("model_4_block_2_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84824896)))]; | |
| tensor<fp16, [1, 256, ?]> var_598_cast_fp16 = mul(x = model_4_block_2_block_2_alpha_to_fp16, y = x_99_cast_fp16)[name = string("op_598_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> var_599_cast_fp16 = sin(x = var_598_cast_fp16)[name = string("op_599_cast_fp16")]; | |
| fp16 var_16_promoted_16_to_fp16 = const()[name = string("op_16_promoted_16_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 256, ?]> var_600_cast_fp16 = pow(x = var_599_cast_fp16, y = var_16_promoted_16_to_fp16)[name = string("op_600_cast_fp16")]; | |
| tensor<fp16, [1, 256, 1]> var_597_to_fp16 = const()[name = string("op_597_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84825472)))]; | |
| tensor<fp16, [1, 256, ?]> var_601_cast_fp16 = mul(x = var_597_to_fp16, y = var_600_cast_fp16)[name = string("op_601_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> x_103_cast_fp16 = add(x = x_99_cast_fp16, y = var_601_cast_fp16)[name = string("x_103_cast_fp16")]; | |
| string y_13_pad_type_0 = const()[name = string("y_13_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_13_strides_0 = const()[name = string("y_13_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_13_pad_0 = const()[name = string("y_13_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_13_dilations_0 = const()[name = string("y_13_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_13_groups_0 = const()[name = string("y_13_groups_0"), val = int32(1)]; | |
| tensor<fp16, [256, 256, 1]> weight_31_to_fp16 = const()[name = string("weight_31_to_fp16"), val = tensor<fp16, [256, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84826048)))]; | |
| tensor<fp16, [256]> model_4_block_2_block_3_bias_to_fp16 = const()[name = string("model_4_block_2_block_3_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84957184)))]; | |
| tensor<fp16, [1, 256, ?]> y_13_cast_fp16 = conv(bias = model_4_block_2_block_3_bias_to_fp16, dilations = y_13_dilations_0, groups = y_13_groups_0, pad = y_13_pad_0, pad_type = y_13_pad_type_0, strides = y_13_strides_0, weight = weight_31_to_fp16, x = x_103_cast_fp16)[name = string("y_13_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> x_105_cast_fp16 = add(x = x_93_cast_fp16, y = y_13_cast_fp16)[name = string("x_105_cast_fp16")]; | |
| tensor<fp16, [1, 256, 1]> model_4_block_3_block_0_alpha_to_fp16 = const()[name = string("model_4_block_3_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84957760)))]; | |
| tensor<fp16, [1, 256, ?]> var_637_cast_fp16 = mul(x = model_4_block_3_block_0_alpha_to_fp16, y = x_105_cast_fp16)[name = string("op_637_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> var_638_cast_fp16 = sin(x = var_637_cast_fp16)[name = string("op_638_cast_fp16")]; | |
| fp16 var_16_promoted_17_to_fp16 = const()[name = string("op_16_promoted_17_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 256, ?]> var_639_cast_fp16 = pow(x = var_638_cast_fp16, y = var_16_promoted_17_to_fp16)[name = string("op_639_cast_fp16")]; | |
| tensor<fp16, [1, 256, 1]> var_636_to_fp16 = const()[name = string("op_636_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84958336)))]; | |
| tensor<fp16, [1, 256, ?]> var_640_cast_fp16 = mul(x = var_636_to_fp16, y = var_639_cast_fp16)[name = string("op_640_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> x_109_cast_fp16 = add(x = x_105_cast_fp16, y = var_640_cast_fp16)[name = string("x_109_cast_fp16")]; | |
| tensor<int32, [6]> input_71_pad_0 = const()[name = string("input_71_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 18, 0])]; | |
| string input_71_mode_0 = const()[name = string("input_71_mode_0"), val = string("constant")]; | |
| fp16 const_16_to_fp16 = const()[name = string("const_16_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 256, ?]> input_71_cast_fp16 = pad(constant_val = const_16_to_fp16, mode = input_71_mode_0, pad = input_71_pad_0, x = x_109_cast_fp16)[name = string("input_71_cast_fp16")]; | |
| string x_111_pad_type_0 = const()[name = string("x_111_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> x_111_dilations_0 = const()[name = string("x_111_dilations_0"), val = tensor<int32, [1]>([3])]; | |
| int32 x_111_groups_0 = const()[name = string("x_111_groups_0"), val = int32(256)]; | |
| tensor<int32, [1]> x_111_strides_0 = const()[name = string("x_111_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_111_pad_0 = const()[name = string("x_111_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<fp16, [256, 1, 7]> weight_33_to_fp16 = const()[name = string("weight_33_to_fp16"), val = tensor<fp16, [256, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84958912)))]; | |
| tensor<fp16, [256]> model_4_block_3_block_1_bias_to_fp16 = const()[name = string("model_4_block_3_block_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84962560)))]; | |
| tensor<fp16, [1, 256, ?]> x_111_cast_fp16 = conv(bias = model_4_block_3_block_1_bias_to_fp16, dilations = x_111_dilations_0, groups = x_111_groups_0, pad = x_111_pad_0, pad_type = x_111_pad_type_0, strides = x_111_strides_0, weight = weight_33_to_fp16, x = input_71_cast_fp16)[name = string("x_111_cast_fp16")]; | |
| tensor<fp16, [1, 256, 1]> model_4_block_3_block_2_alpha_to_fp16 = const()[name = string("model_4_block_3_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84963136)))]; | |
| tensor<fp16, [1, 256, ?]> var_662_cast_fp16 = mul(x = model_4_block_3_block_2_alpha_to_fp16, y = x_111_cast_fp16)[name = string("op_662_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> var_663_cast_fp16 = sin(x = var_662_cast_fp16)[name = string("op_663_cast_fp16")]; | |
| fp16 var_16_promoted_18_to_fp16 = const()[name = string("op_16_promoted_18_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 256, ?]> var_664_cast_fp16 = pow(x = var_663_cast_fp16, y = var_16_promoted_18_to_fp16)[name = string("op_664_cast_fp16")]; | |
| tensor<fp16, [1, 256, 1]> var_661_to_fp16 = const()[name = string("op_661_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84963712)))]; | |
| tensor<fp16, [1, 256, ?]> var_665_cast_fp16 = mul(x = var_661_to_fp16, y = var_664_cast_fp16)[name = string("op_665_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> x_115_cast_fp16 = add(x = x_111_cast_fp16, y = var_665_cast_fp16)[name = string("x_115_cast_fp16")]; | |
| string y_15_pad_type_0 = const()[name = string("y_15_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_15_strides_0 = const()[name = string("y_15_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_15_pad_0 = const()[name = string("y_15_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_15_dilations_0 = const()[name = string("y_15_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_15_groups_0 = const()[name = string("y_15_groups_0"), val = int32(1)]; | |
| tensor<fp16, [256, 256, 1]> weight_35_to_fp16 = const()[name = string("weight_35_to_fp16"), val = tensor<fp16, [256, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(84964288)))]; | |
| tensor<fp16, [256]> model_4_block_3_block_3_bias_to_fp16 = const()[name = string("model_4_block_3_block_3_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85095424)))]; | |
| tensor<fp16, [1, 256, ?]> y_15_cast_fp16 = conv(bias = model_4_block_3_block_3_bias_to_fp16, dilations = y_15_dilations_0, groups = y_15_groups_0, pad = y_15_pad_0, pad_type = y_15_pad_type_0, strides = y_15_strides_0, weight = weight_35_to_fp16, x = x_115_cast_fp16)[name = string("y_15_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> x_117_cast_fp16 = add(x = x_105_cast_fp16, y = y_15_cast_fp16)[name = string("x_117_cast_fp16")]; | |
| tensor<fp16, [1, 256, 1]> model_4_block_4_block_0_alpha_to_fp16 = const()[name = string("model_4_block_4_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85096000)))]; | |
| tensor<fp16, [1, 256, ?]> var_701_cast_fp16 = mul(x = model_4_block_4_block_0_alpha_to_fp16, y = x_117_cast_fp16)[name = string("op_701_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> var_702_cast_fp16 = sin(x = var_701_cast_fp16)[name = string("op_702_cast_fp16")]; | |
| fp16 var_16_promoted_19_to_fp16 = const()[name = string("op_16_promoted_19_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 256, ?]> var_703_cast_fp16 = pow(x = var_702_cast_fp16, y = var_16_promoted_19_to_fp16)[name = string("op_703_cast_fp16")]; | |
| tensor<fp16, [1, 256, 1]> var_700_to_fp16 = const()[name = string("op_700_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85096576)))]; | |
| tensor<fp16, [1, 256, ?]> var_704_cast_fp16 = mul(x = var_700_to_fp16, y = var_703_cast_fp16)[name = string("op_704_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> x_121_cast_fp16 = add(x = x_117_cast_fp16, y = var_704_cast_fp16)[name = string("x_121_cast_fp16")]; | |
| tensor<int32, [6]> input_79_pad_0 = const()[name = string("input_79_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 54, 0])]; | |
| string input_79_mode_0 = const()[name = string("input_79_mode_0"), val = string("constant")]; | |
| fp16 const_18_to_fp16 = const()[name = string("const_18_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 256, ?]> input_79_cast_fp16 = pad(constant_val = const_18_to_fp16, mode = input_79_mode_0, pad = input_79_pad_0, x = x_121_cast_fp16)[name = string("input_79_cast_fp16")]; | |
| string x_123_pad_type_0 = const()[name = string("x_123_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> x_123_dilations_0 = const()[name = string("x_123_dilations_0"), val = tensor<int32, [1]>([9])]; | |
| int32 x_123_groups_0 = const()[name = string("x_123_groups_0"), val = int32(256)]; | |
| tensor<int32, [1]> x_123_strides_0 = const()[name = string("x_123_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_123_pad_0 = const()[name = string("x_123_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<fp16, [256, 1, 7]> weight_37_to_fp16 = const()[name = string("weight_37_to_fp16"), val = tensor<fp16, [256, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85097152)))]; | |
| tensor<fp16, [256]> model_4_block_4_block_1_bias_to_fp16 = const()[name = string("model_4_block_4_block_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85100800)))]; | |
| tensor<fp16, [1, 256, ?]> x_123_cast_fp16 = conv(bias = model_4_block_4_block_1_bias_to_fp16, dilations = x_123_dilations_0, groups = x_123_groups_0, pad = x_123_pad_0, pad_type = x_123_pad_type_0, strides = x_123_strides_0, weight = weight_37_to_fp16, x = input_79_cast_fp16)[name = string("x_123_cast_fp16")]; | |
| tensor<fp16, [1, 256, 1]> model_4_block_4_block_2_alpha_to_fp16 = const()[name = string("model_4_block_4_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85101376)))]; | |
| tensor<fp16, [1, 256, ?]> var_726_cast_fp16 = mul(x = model_4_block_4_block_2_alpha_to_fp16, y = x_123_cast_fp16)[name = string("op_726_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> var_727_cast_fp16 = sin(x = var_726_cast_fp16)[name = string("op_727_cast_fp16")]; | |
| fp16 var_16_promoted_20_to_fp16 = const()[name = string("op_16_promoted_20_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 256, ?]> var_728_cast_fp16 = pow(x = var_727_cast_fp16, y = var_16_promoted_20_to_fp16)[name = string("op_728_cast_fp16")]; | |
| tensor<fp16, [1, 256, 1]> var_725_to_fp16 = const()[name = string("op_725_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85101952)))]; | |
| tensor<fp16, [1, 256, ?]> var_729_cast_fp16 = mul(x = var_725_to_fp16, y = var_728_cast_fp16)[name = string("op_729_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> x_127_cast_fp16 = add(x = x_123_cast_fp16, y = var_729_cast_fp16)[name = string("x_127_cast_fp16")]; | |
| string y_17_pad_type_0 = const()[name = string("y_17_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_17_strides_0 = const()[name = string("y_17_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_17_pad_0 = const()[name = string("y_17_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_17_dilations_0 = const()[name = string("y_17_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_17_groups_0 = const()[name = string("y_17_groups_0"), val = int32(1)]; | |
| tensor<fp16, [256, 256, 1]> weight_39_to_fp16 = const()[name = string("weight_39_to_fp16"), val = tensor<fp16, [256, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85102528)))]; | |
| tensor<fp16, [256]> model_4_block_4_block_3_bias_to_fp16 = const()[name = string("model_4_block_4_block_3_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85233664)))]; | |
| tensor<fp16, [1, 256, ?]> y_17_cast_fp16 = conv(bias = model_4_block_4_block_3_bias_to_fp16, dilations = y_17_dilations_0, groups = y_17_groups_0, pad = y_17_pad_0, pad_type = y_17_pad_type_0, strides = y_17_strides_0, weight = weight_39_to_fp16, x = x_127_cast_fp16)[name = string("y_17_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> x_129_cast_fp16 = add(x = x_117_cast_fp16, y = y_17_cast_fp16)[name = string("x_129_cast_fp16")]; | |
| tensor<fp16, [1, 256, 1]> model_5_block_0_alpha_to_fp16 = const()[name = string("model_5_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85234240)))]; | |
| tensor<fp16, [1, 256, ?]> var_762_cast_fp16 = mul(x = model_5_block_0_alpha_to_fp16, y = x_129_cast_fp16)[name = string("op_762_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> var_763_cast_fp16 = sin(x = var_762_cast_fp16)[name = string("op_763_cast_fp16")]; | |
| fp16 var_16_promoted_21_to_fp16 = const()[name = string("op_16_promoted_21_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 256, ?]> var_764_cast_fp16 = pow(x = var_763_cast_fp16, y = var_16_promoted_21_to_fp16)[name = string("op_764_cast_fp16")]; | |
| tensor<fp16, [1, 256, 1]> var_761_to_fp16 = const()[name = string("op_761_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85234816)))]; | |
| tensor<fp16, [1, 256, ?]> var_765_cast_fp16 = mul(x = var_761_to_fp16, y = var_764_cast_fp16)[name = string("op_765_cast_fp16")]; | |
| tensor<fp16, [1, 256, ?]> x_133_cast_fp16 = add(x = x_129_cast_fp16, y = var_765_cast_fp16)[name = string("x_133_cast_fp16")]; | |
| string var_775_pad_type_0 = const()[name = string("op_775_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> var_775_strides_0 = const()[name = string("op_775_strides_0"), val = tensor<int32, [1]>([3])]; | |
| tensor<int32, [2]> var_775_pad_0 = const()[name = string("op_775_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> var_775_dilations_0 = const()[name = string("op_775_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 var_775_groups_0 = const()[name = string("op_775_groups_0"), val = int32(1)]; | |
| tensor<fp16, [256, 128, 6]> var_769_to_fp16 = const()[name = string("op_769_to_fp16"), val = tensor<fp16, [256, 128, 6]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85235392)))]; | |
| tensor<fp16, [128]> model_5_block_1_bias_to_fp16 = const()[name = string("model_5_block_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85628672)))]; | |
| tensor<fp16, [1, 128, ?]> var_775_cast_fp16 = conv_transpose(bias = model_5_block_1_bias_to_fp16, dilations = var_775_dilations_0, groups = var_775_groups_0, pad = var_775_pad_0, pad_type = var_775_pad_type_0, strides = var_775_strides_0, weight = var_769_to_fp16, x = x_133_cast_fp16)[name = string("op_775_cast_fp16")]; | |
| tensor<int32, [3]> x_135_begin_0 = const()[name = string("x_135_begin_0"), val = tensor<int32, [3]>([0, 0, 0])]; | |
| tensor<int32, [3]> x_135_end_0 = const()[name = string("x_135_end_0"), val = tensor<int32, [3]>([1, 128, -3])]; | |
| tensor<bool, [3]> x_135_end_mask_0 = const()[name = string("x_135_end_mask_0"), val = tensor<bool, [3]>([true, true, false])]; | |
| tensor<fp16, [1, 128, ?]> x_135_cast_fp16 = slice_by_index(begin = x_135_begin_0, end = x_135_end_0, end_mask = x_135_end_mask_0, x = var_775_cast_fp16)[name = string("x_135_cast_fp16")]; | |
| tensor<fp16, [1, 128, 1]> model_5_block_2_block_0_alpha_to_fp16 = const()[name = string("model_5_block_2_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85628992)))]; | |
| tensor<fp16, [1, 128, ?]> var_799_cast_fp16 = mul(x = model_5_block_2_block_0_alpha_to_fp16, y = x_135_cast_fp16)[name = string("op_799_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> var_800_cast_fp16 = sin(x = var_799_cast_fp16)[name = string("op_800_cast_fp16")]; | |
| fp16 var_16_promoted_22_to_fp16 = const()[name = string("op_16_promoted_22_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 128, ?]> var_801_cast_fp16 = pow(x = var_800_cast_fp16, y = var_16_promoted_22_to_fp16)[name = string("op_801_cast_fp16")]; | |
| tensor<fp16, [1, 128, 1]> var_798_to_fp16 = const()[name = string("op_798_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85629312)))]; | |
| tensor<fp16, [1, 128, ?]> var_802_cast_fp16 = mul(x = var_798_to_fp16, y = var_801_cast_fp16)[name = string("op_802_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> x_139_cast_fp16 = add(x = x_135_cast_fp16, y = var_802_cast_fp16)[name = string("x_139_cast_fp16")]; | |
| tensor<int32, [6]> input_89_pad_0 = const()[name = string("input_89_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])]; | |
| string input_89_mode_0 = const()[name = string("input_89_mode_0"), val = string("constant")]; | |
| fp16 const_20_to_fp16 = const()[name = string("const_20_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 128, ?]> input_89_cast_fp16 = pad(constant_val = const_20_to_fp16, mode = input_89_mode_0, pad = input_89_pad_0, x = x_139_cast_fp16)[name = string("input_89_cast_fp16")]; | |
| string x_141_pad_type_0 = const()[name = string("x_141_pad_type_0"), val = string("valid")]; | |
| int32 x_141_groups_0 = const()[name = string("x_141_groups_0"), val = int32(128)]; | |
| tensor<int32, [1]> x_141_strides_0 = const()[name = string("x_141_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_141_pad_0 = const()[name = string("x_141_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> x_141_dilations_0 = const()[name = string("x_141_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<fp16, [128, 1, 7]> weight_41_to_fp16 = const()[name = string("weight_41_to_fp16"), val = tensor<fp16, [128, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85629632)))]; | |
| tensor<fp16, [128]> model_5_block_2_block_1_bias_to_fp16 = const()[name = string("model_5_block_2_block_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85631488)))]; | |
| tensor<fp16, [1, 128, ?]> x_141_cast_fp16 = conv(bias = model_5_block_2_block_1_bias_to_fp16, dilations = x_141_dilations_0, groups = x_141_groups_0, pad = x_141_pad_0, pad_type = x_141_pad_type_0, strides = x_141_strides_0, weight = weight_41_to_fp16, x = input_89_cast_fp16)[name = string("x_141_cast_fp16")]; | |
| tensor<fp16, [1, 128, 1]> model_5_block_2_block_2_alpha_to_fp16 = const()[name = string("model_5_block_2_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85631808)))]; | |
| tensor<fp16, [1, 128, ?]> var_824_cast_fp16 = mul(x = model_5_block_2_block_2_alpha_to_fp16, y = x_141_cast_fp16)[name = string("op_824_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> var_825_cast_fp16 = sin(x = var_824_cast_fp16)[name = string("op_825_cast_fp16")]; | |
| fp16 var_16_promoted_23_to_fp16 = const()[name = string("op_16_promoted_23_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 128, ?]> var_826_cast_fp16 = pow(x = var_825_cast_fp16, y = var_16_promoted_23_to_fp16)[name = string("op_826_cast_fp16")]; | |
| tensor<fp16, [1, 128, 1]> var_823_to_fp16 = const()[name = string("op_823_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85632128)))]; | |
| tensor<fp16, [1, 128, ?]> var_827_cast_fp16 = mul(x = var_823_to_fp16, y = var_826_cast_fp16)[name = string("op_827_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> x_145_cast_fp16 = add(x = x_141_cast_fp16, y = var_827_cast_fp16)[name = string("x_145_cast_fp16")]; | |
| string y_19_pad_type_0 = const()[name = string("y_19_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_19_strides_0 = const()[name = string("y_19_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_19_pad_0 = const()[name = string("y_19_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_19_dilations_0 = const()[name = string("y_19_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_19_groups_0 = const()[name = string("y_19_groups_0"), val = int32(1)]; | |
| tensor<fp16, [128, 128, 1]> weight_43_to_fp16 = const()[name = string("weight_43_to_fp16"), val = tensor<fp16, [128, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85632448)))]; | |
| tensor<fp16, [128]> model_5_block_2_block_3_bias_to_fp16 = const()[name = string("model_5_block_2_block_3_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85665280)))]; | |
| tensor<fp16, [1, 128, ?]> y_19_cast_fp16 = conv(bias = model_5_block_2_block_3_bias_to_fp16, dilations = y_19_dilations_0, groups = y_19_groups_0, pad = y_19_pad_0, pad_type = y_19_pad_type_0, strides = y_19_strides_0, weight = weight_43_to_fp16, x = x_145_cast_fp16)[name = string("y_19_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> x_147_cast_fp16 = add(x = x_135_cast_fp16, y = y_19_cast_fp16)[name = string("x_147_cast_fp16")]; | |
| tensor<fp16, [1, 128, 1]> model_5_block_3_block_0_alpha_to_fp16 = const()[name = string("model_5_block_3_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85665600)))]; | |
| tensor<fp16, [1, 128, ?]> var_863_cast_fp16 = mul(x = model_5_block_3_block_0_alpha_to_fp16, y = x_147_cast_fp16)[name = string("op_863_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> var_864_cast_fp16 = sin(x = var_863_cast_fp16)[name = string("op_864_cast_fp16")]; | |
| fp16 var_16_promoted_24_to_fp16 = const()[name = string("op_16_promoted_24_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 128, ?]> var_865_cast_fp16 = pow(x = var_864_cast_fp16, y = var_16_promoted_24_to_fp16)[name = string("op_865_cast_fp16")]; | |
| tensor<fp16, [1, 128, 1]> var_862_to_fp16 = const()[name = string("op_862_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85665920)))]; | |
| tensor<fp16, [1, 128, ?]> var_866_cast_fp16 = mul(x = var_862_to_fp16, y = var_865_cast_fp16)[name = string("op_866_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> x_151_cast_fp16 = add(x = x_147_cast_fp16, y = var_866_cast_fp16)[name = string("x_151_cast_fp16")]; | |
| tensor<int32, [6]> input_97_pad_0 = const()[name = string("input_97_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 18, 0])]; | |
| string input_97_mode_0 = const()[name = string("input_97_mode_0"), val = string("constant")]; | |
| fp16 const_22_to_fp16 = const()[name = string("const_22_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 128, ?]> input_97_cast_fp16 = pad(constant_val = const_22_to_fp16, mode = input_97_mode_0, pad = input_97_pad_0, x = x_151_cast_fp16)[name = string("input_97_cast_fp16")]; | |
| string x_153_pad_type_0 = const()[name = string("x_153_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> x_153_dilations_0 = const()[name = string("x_153_dilations_0"), val = tensor<int32, [1]>([3])]; | |
| int32 x_153_groups_0 = const()[name = string("x_153_groups_0"), val = int32(128)]; | |
| tensor<int32, [1]> x_153_strides_0 = const()[name = string("x_153_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_153_pad_0 = const()[name = string("x_153_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<fp16, [128, 1, 7]> weight_45_to_fp16 = const()[name = string("weight_45_to_fp16"), val = tensor<fp16, [128, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85666240)))]; | |
| tensor<fp16, [128]> model_5_block_3_block_1_bias_to_fp16 = const()[name = string("model_5_block_3_block_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85668096)))]; | |
| tensor<fp16, [1, 128, ?]> x_153_cast_fp16 = conv(bias = model_5_block_3_block_1_bias_to_fp16, dilations = x_153_dilations_0, groups = x_153_groups_0, pad = x_153_pad_0, pad_type = x_153_pad_type_0, strides = x_153_strides_0, weight = weight_45_to_fp16, x = input_97_cast_fp16)[name = string("x_153_cast_fp16")]; | |
| tensor<fp16, [1, 128, 1]> model_5_block_3_block_2_alpha_to_fp16 = const()[name = string("model_5_block_3_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85668416)))]; | |
| tensor<fp16, [1, 128, ?]> var_888_cast_fp16 = mul(x = model_5_block_3_block_2_alpha_to_fp16, y = x_153_cast_fp16)[name = string("op_888_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> var_889_cast_fp16 = sin(x = var_888_cast_fp16)[name = string("op_889_cast_fp16")]; | |
| fp16 var_16_promoted_25_to_fp16 = const()[name = string("op_16_promoted_25_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 128, ?]> var_890_cast_fp16 = pow(x = var_889_cast_fp16, y = var_16_promoted_25_to_fp16)[name = string("op_890_cast_fp16")]; | |
| tensor<fp16, [1, 128, 1]> var_887_to_fp16 = const()[name = string("op_887_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85668736)))]; | |
| tensor<fp16, [1, 128, ?]> var_891_cast_fp16 = mul(x = var_887_to_fp16, y = var_890_cast_fp16)[name = string("op_891_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> x_157_cast_fp16 = add(x = x_153_cast_fp16, y = var_891_cast_fp16)[name = string("x_157_cast_fp16")]; | |
| string y_21_pad_type_0 = const()[name = string("y_21_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_21_strides_0 = const()[name = string("y_21_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_21_pad_0 = const()[name = string("y_21_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_21_dilations_0 = const()[name = string("y_21_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_21_groups_0 = const()[name = string("y_21_groups_0"), val = int32(1)]; | |
| tensor<fp16, [128, 128, 1]> weight_47_to_fp16 = const()[name = string("weight_47_to_fp16"), val = tensor<fp16, [128, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85669056)))]; | |
| tensor<fp16, [128]> model_5_block_3_block_3_bias_to_fp16 = const()[name = string("model_5_block_3_block_3_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85701888)))]; | |
| tensor<fp16, [1, 128, ?]> y_21_cast_fp16 = conv(bias = model_5_block_3_block_3_bias_to_fp16, dilations = y_21_dilations_0, groups = y_21_groups_0, pad = y_21_pad_0, pad_type = y_21_pad_type_0, strides = y_21_strides_0, weight = weight_47_to_fp16, x = x_157_cast_fp16)[name = string("y_21_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> x_159_cast_fp16 = add(x = x_147_cast_fp16, y = y_21_cast_fp16)[name = string("x_159_cast_fp16")]; | |
| tensor<fp16, [1, 128, 1]> model_5_block_4_block_0_alpha_to_fp16 = const()[name = string("model_5_block_4_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85702208)))]; | |
| tensor<fp16, [1, 128, ?]> var_927_cast_fp16 = mul(x = model_5_block_4_block_0_alpha_to_fp16, y = x_159_cast_fp16)[name = string("op_927_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> var_928_cast_fp16 = sin(x = var_927_cast_fp16)[name = string("op_928_cast_fp16")]; | |
| fp16 var_16_promoted_26_to_fp16 = const()[name = string("op_16_promoted_26_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 128, ?]> var_929_cast_fp16 = pow(x = var_928_cast_fp16, y = var_16_promoted_26_to_fp16)[name = string("op_929_cast_fp16")]; | |
| tensor<fp16, [1, 128, 1]> var_926_to_fp16 = const()[name = string("op_926_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85702528)))]; | |
| tensor<fp16, [1, 128, ?]> var_930_cast_fp16 = mul(x = var_926_to_fp16, y = var_929_cast_fp16)[name = string("op_930_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> x_163_cast_fp16 = add(x = x_159_cast_fp16, y = var_930_cast_fp16)[name = string("x_163_cast_fp16")]; | |
| tensor<int32, [6]> input_105_pad_0 = const()[name = string("input_105_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 54, 0])]; | |
| string input_105_mode_0 = const()[name = string("input_105_mode_0"), val = string("constant")]; | |
| fp16 const_24_to_fp16 = const()[name = string("const_24_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 128, ?]> input_105_cast_fp16 = pad(constant_val = const_24_to_fp16, mode = input_105_mode_0, pad = input_105_pad_0, x = x_163_cast_fp16)[name = string("input_105_cast_fp16")]; | |
| string x_165_pad_type_0 = const()[name = string("x_165_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> x_165_dilations_0 = const()[name = string("x_165_dilations_0"), val = tensor<int32, [1]>([9])]; | |
| int32 x_165_groups_0 = const()[name = string("x_165_groups_0"), val = int32(128)]; | |
| tensor<int32, [1]> x_165_strides_0 = const()[name = string("x_165_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_165_pad_0 = const()[name = string("x_165_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<fp16, [128, 1, 7]> weight_49_to_fp16 = const()[name = string("weight_49_to_fp16"), val = tensor<fp16, [128, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85702848)))]; | |
| tensor<fp16, [128]> model_5_block_4_block_1_bias_to_fp16 = const()[name = string("model_5_block_4_block_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85704704)))]; | |
| tensor<fp16, [1, 128, ?]> x_165_cast_fp16 = conv(bias = model_5_block_4_block_1_bias_to_fp16, dilations = x_165_dilations_0, groups = x_165_groups_0, pad = x_165_pad_0, pad_type = x_165_pad_type_0, strides = x_165_strides_0, weight = weight_49_to_fp16, x = input_105_cast_fp16)[name = string("x_165_cast_fp16")]; | |
| tensor<fp16, [1, 128, 1]> model_5_block_4_block_2_alpha_to_fp16 = const()[name = string("model_5_block_4_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85705024)))]; | |
| tensor<fp16, [1, 128, ?]> var_952_cast_fp16 = mul(x = model_5_block_4_block_2_alpha_to_fp16, y = x_165_cast_fp16)[name = string("op_952_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> var_953_cast_fp16 = sin(x = var_952_cast_fp16)[name = string("op_953_cast_fp16")]; | |
| fp16 var_16_promoted_27_to_fp16 = const()[name = string("op_16_promoted_27_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 128, ?]> var_954_cast_fp16 = pow(x = var_953_cast_fp16, y = var_16_promoted_27_to_fp16)[name = string("op_954_cast_fp16")]; | |
| tensor<fp16, [1, 128, 1]> var_951_to_fp16 = const()[name = string("op_951_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85705344)))]; | |
| tensor<fp16, [1, 128, ?]> var_955_cast_fp16 = mul(x = var_951_to_fp16, y = var_954_cast_fp16)[name = string("op_955_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> x_169_cast_fp16 = add(x = x_165_cast_fp16, y = var_955_cast_fp16)[name = string("x_169_cast_fp16")]; | |
| string y_23_pad_type_0 = const()[name = string("y_23_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_23_strides_0 = const()[name = string("y_23_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_23_pad_0 = const()[name = string("y_23_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_23_dilations_0 = const()[name = string("y_23_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_23_groups_0 = const()[name = string("y_23_groups_0"), val = int32(1)]; | |
| tensor<fp16, [128, 128, 1]> weight_51_to_fp16 = const()[name = string("weight_51_to_fp16"), val = tensor<fp16, [128, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85705664)))]; | |
| tensor<fp16, [128]> model_5_block_4_block_3_bias_to_fp16 = const()[name = string("model_5_block_4_block_3_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85738496)))]; | |
| tensor<fp16, [1, 128, ?]> y_23_cast_fp16 = conv(bias = model_5_block_4_block_3_bias_to_fp16, dilations = y_23_dilations_0, groups = y_23_groups_0, pad = y_23_pad_0, pad_type = y_23_pad_type_0, strides = y_23_strides_0, weight = weight_51_to_fp16, x = x_169_cast_fp16)[name = string("y_23_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> x_171_cast_fp16 = add(x = x_159_cast_fp16, y = y_23_cast_fp16)[name = string("x_171_cast_fp16")]; | |
| tensor<fp16, [1, 128, 1]> model_6_block_0_alpha_to_fp16 = const()[name = string("model_6_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85738816)))]; | |
| tensor<fp16, [1, 128, ?]> var_988_cast_fp16 = mul(x = model_6_block_0_alpha_to_fp16, y = x_171_cast_fp16)[name = string("op_988_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> var_989_cast_fp16 = sin(x = var_988_cast_fp16)[name = string("op_989_cast_fp16")]; | |
| fp16 var_16_promoted_28_to_fp16 = const()[name = string("op_16_promoted_28_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 128, ?]> var_990_cast_fp16 = pow(x = var_989_cast_fp16, y = var_16_promoted_28_to_fp16)[name = string("op_990_cast_fp16")]; | |
| tensor<fp16, [1, 128, 1]> var_987_to_fp16 = const()[name = string("op_987_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85739136)))]; | |
| tensor<fp16, [1, 128, ?]> var_991_cast_fp16 = mul(x = var_987_to_fp16, y = var_990_cast_fp16)[name = string("op_991_cast_fp16")]; | |
| tensor<fp16, [1, 128, ?]> x_175_cast_fp16 = add(x = x_171_cast_fp16, y = var_991_cast_fp16)[name = string("x_175_cast_fp16")]; | |
| string var_1001_pad_type_0 = const()[name = string("op_1001_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> var_1001_strides_0 = const()[name = string("op_1001_strides_0"), val = tensor<int32, [1]>([2])]; | |
| tensor<int32, [2]> var_1001_pad_0 = const()[name = string("op_1001_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> var_1001_dilations_0 = const()[name = string("op_1001_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 var_1001_groups_0 = const()[name = string("op_1001_groups_0"), val = int32(1)]; | |
| tensor<fp16, [128, 64, 4]> var_995_to_fp16 = const()[name = string("op_995_to_fp16"), val = tensor<fp16, [128, 64, 4]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85739456)))]; | |
| tensor<fp16, [64]> model_6_block_1_bias_to_fp16 = const()[name = string("model_6_block_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85805056)))]; | |
| tensor<fp16, [1, 64, ?]> var_1001_cast_fp16 = conv_transpose(bias = model_6_block_1_bias_to_fp16, dilations = var_1001_dilations_0, groups = var_1001_groups_0, pad = var_1001_pad_0, pad_type = var_1001_pad_type_0, strides = var_1001_strides_0, weight = var_995_to_fp16, x = x_175_cast_fp16)[name = string("op_1001_cast_fp16")]; | |
| tensor<int32, [3]> x_177_begin_0 = const()[name = string("x_177_begin_0"), val = tensor<int32, [3]>([0, 0, 0])]; | |
| tensor<int32, [3]> x_177_end_0 = const()[name = string("x_177_end_0"), val = tensor<int32, [3]>([1, 64, -2])]; | |
| tensor<bool, [3]> x_177_end_mask_0 = const()[name = string("x_177_end_mask_0"), val = tensor<bool, [3]>([true, true, false])]; | |
| tensor<fp16, [1, 64, ?]> x_177_cast_fp16 = slice_by_index(begin = x_177_begin_0, end = x_177_end_0, end_mask = x_177_end_mask_0, x = var_1001_cast_fp16)[name = string("x_177_cast_fp16")]; | |
| tensor<fp16, [1, 64, 1]> model_6_block_2_block_0_alpha_to_fp16 = const()[name = string("model_6_block_2_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85805248)))]; | |
| tensor<fp16, [1, 64, ?]> var_1025_cast_fp16 = mul(x = model_6_block_2_block_0_alpha_to_fp16, y = x_177_cast_fp16)[name = string("op_1025_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> var_1026_cast_fp16 = sin(x = var_1025_cast_fp16)[name = string("op_1026_cast_fp16")]; | |
| fp16 var_16_promoted_29_to_fp16 = const()[name = string("op_16_promoted_29_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 64, ?]> var_1027_cast_fp16 = pow(x = var_1026_cast_fp16, y = var_16_promoted_29_to_fp16)[name = string("op_1027_cast_fp16")]; | |
| tensor<fp16, [1, 64, 1]> var_1024_to_fp16 = const()[name = string("op_1024_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85805440)))]; | |
| tensor<fp16, [1, 64, ?]> var_1028_cast_fp16 = mul(x = var_1024_to_fp16, y = var_1027_cast_fp16)[name = string("op_1028_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> x_181_cast_fp16 = add(x = x_177_cast_fp16, y = var_1028_cast_fp16)[name = string("x_181_cast_fp16")]; | |
| tensor<int32, [6]> input_115_pad_0 = const()[name = string("input_115_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])]; | |
| string input_115_mode_0 = const()[name = string("input_115_mode_0"), val = string("constant")]; | |
| fp16 const_26_to_fp16 = const()[name = string("const_26_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 64, ?]> input_115_cast_fp16 = pad(constant_val = const_26_to_fp16, mode = input_115_mode_0, pad = input_115_pad_0, x = x_181_cast_fp16)[name = string("input_115_cast_fp16")]; | |
| string x_183_pad_type_0 = const()[name = string("x_183_pad_type_0"), val = string("valid")]; | |
| int32 x_183_groups_0 = const()[name = string("x_183_groups_0"), val = int32(64)]; | |
| tensor<int32, [1]> x_183_strides_0 = const()[name = string("x_183_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_183_pad_0 = const()[name = string("x_183_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> x_183_dilations_0 = const()[name = string("x_183_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<fp16, [64, 1, 7]> weight_53_to_fp16 = const()[name = string("weight_53_to_fp16"), val = tensor<fp16, [64, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85805632)))]; | |
| tensor<fp16, [64]> model_6_block_2_block_1_bias_to_fp16 = const()[name = string("model_6_block_2_block_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85806592)))]; | |
| tensor<fp16, [1, 64, ?]> x_183_cast_fp16 = conv(bias = model_6_block_2_block_1_bias_to_fp16, dilations = x_183_dilations_0, groups = x_183_groups_0, pad = x_183_pad_0, pad_type = x_183_pad_type_0, strides = x_183_strides_0, weight = weight_53_to_fp16, x = input_115_cast_fp16)[name = string("x_183_cast_fp16")]; | |
| tensor<fp16, [1, 64, 1]> model_6_block_2_block_2_alpha_to_fp16 = const()[name = string("model_6_block_2_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85806784)))]; | |
| tensor<fp16, [1, 64, ?]> var_1050_cast_fp16 = mul(x = model_6_block_2_block_2_alpha_to_fp16, y = x_183_cast_fp16)[name = string("op_1050_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> var_1051_cast_fp16 = sin(x = var_1050_cast_fp16)[name = string("op_1051_cast_fp16")]; | |
| fp16 var_16_promoted_30_to_fp16 = const()[name = string("op_16_promoted_30_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 64, ?]> var_1052_cast_fp16 = pow(x = var_1051_cast_fp16, y = var_16_promoted_30_to_fp16)[name = string("op_1052_cast_fp16")]; | |
| tensor<fp16, [1, 64, 1]> var_1049_to_fp16 = const()[name = string("op_1049_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85806976)))]; | |
| tensor<fp16, [1, 64, ?]> var_1053_cast_fp16 = mul(x = var_1049_to_fp16, y = var_1052_cast_fp16)[name = string("op_1053_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> x_187_cast_fp16 = add(x = x_183_cast_fp16, y = var_1053_cast_fp16)[name = string("x_187_cast_fp16")]; | |
| string y_25_pad_type_0 = const()[name = string("y_25_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_25_strides_0 = const()[name = string("y_25_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_25_pad_0 = const()[name = string("y_25_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_25_dilations_0 = const()[name = string("y_25_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_25_groups_0 = const()[name = string("y_25_groups_0"), val = int32(1)]; | |
| tensor<fp16, [64, 64, 1]> weight_55_to_fp16 = const()[name = string("weight_55_to_fp16"), val = tensor<fp16, [64, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85807168)))]; | |
| tensor<fp16, [64]> model_6_block_2_block_3_bias_to_fp16 = const()[name = string("model_6_block_2_block_3_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85815424)))]; | |
| tensor<fp16, [1, 64, ?]> y_25_cast_fp16 = conv(bias = model_6_block_2_block_3_bias_to_fp16, dilations = y_25_dilations_0, groups = y_25_groups_0, pad = y_25_pad_0, pad_type = y_25_pad_type_0, strides = y_25_strides_0, weight = weight_55_to_fp16, x = x_187_cast_fp16)[name = string("y_25_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> x_189_cast_fp16 = add(x = x_177_cast_fp16, y = y_25_cast_fp16)[name = string("x_189_cast_fp16")]; | |
| tensor<fp16, [1, 64, 1]> model_6_block_3_block_0_alpha_to_fp16 = const()[name = string("model_6_block_3_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85815616)))]; | |
| tensor<fp16, [1, 64, ?]> var_1089_cast_fp16 = mul(x = model_6_block_3_block_0_alpha_to_fp16, y = x_189_cast_fp16)[name = string("op_1089_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> var_1090_cast_fp16 = sin(x = var_1089_cast_fp16)[name = string("op_1090_cast_fp16")]; | |
| fp16 var_16_promoted_31_to_fp16 = const()[name = string("op_16_promoted_31_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 64, ?]> var_1091_cast_fp16 = pow(x = var_1090_cast_fp16, y = var_16_promoted_31_to_fp16)[name = string("op_1091_cast_fp16")]; | |
| tensor<fp16, [1, 64, 1]> var_1088_to_fp16 = const()[name = string("op_1088_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85815808)))]; | |
| tensor<fp16, [1, 64, ?]> var_1092_cast_fp16 = mul(x = var_1088_to_fp16, y = var_1091_cast_fp16)[name = string("op_1092_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> x_193_cast_fp16 = add(x = x_189_cast_fp16, y = var_1092_cast_fp16)[name = string("x_193_cast_fp16")]; | |
| tensor<int32, [6]> input_123_pad_0 = const()[name = string("input_123_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 18, 0])]; | |
| string input_123_mode_0 = const()[name = string("input_123_mode_0"), val = string("constant")]; | |
| fp16 const_28_to_fp16 = const()[name = string("const_28_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 64, ?]> input_123_cast_fp16 = pad(constant_val = const_28_to_fp16, mode = input_123_mode_0, pad = input_123_pad_0, x = x_193_cast_fp16)[name = string("input_123_cast_fp16")]; | |
| string x_195_pad_type_0 = const()[name = string("x_195_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> x_195_dilations_0 = const()[name = string("x_195_dilations_0"), val = tensor<int32, [1]>([3])]; | |
| int32 x_195_groups_0 = const()[name = string("x_195_groups_0"), val = int32(64)]; | |
| tensor<int32, [1]> x_195_strides_0 = const()[name = string("x_195_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_195_pad_0 = const()[name = string("x_195_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<fp16, [64, 1, 7]> weight_57_to_fp16 = const()[name = string("weight_57_to_fp16"), val = tensor<fp16, [64, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85816000)))]; | |
| tensor<fp16, [64]> model_6_block_3_block_1_bias_to_fp16 = const()[name = string("model_6_block_3_block_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85816960)))]; | |
| tensor<fp16, [1, 64, ?]> x_195_cast_fp16 = conv(bias = model_6_block_3_block_1_bias_to_fp16, dilations = x_195_dilations_0, groups = x_195_groups_0, pad = x_195_pad_0, pad_type = x_195_pad_type_0, strides = x_195_strides_0, weight = weight_57_to_fp16, x = input_123_cast_fp16)[name = string("x_195_cast_fp16")]; | |
| tensor<fp16, [1, 64, 1]> model_6_block_3_block_2_alpha_to_fp16 = const()[name = string("model_6_block_3_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85817152)))]; | |
| tensor<fp16, [1, 64, ?]> var_1114_cast_fp16 = mul(x = model_6_block_3_block_2_alpha_to_fp16, y = x_195_cast_fp16)[name = string("op_1114_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> var_1115_cast_fp16 = sin(x = var_1114_cast_fp16)[name = string("op_1115_cast_fp16")]; | |
| fp16 var_16_promoted_32_to_fp16 = const()[name = string("op_16_promoted_32_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 64, ?]> var_1116_cast_fp16 = pow(x = var_1115_cast_fp16, y = var_16_promoted_32_to_fp16)[name = string("op_1116_cast_fp16")]; | |
| tensor<fp16, [1, 64, 1]> var_1113_to_fp16 = const()[name = string("op_1113_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85817344)))]; | |
| tensor<fp16, [1, 64, ?]> var_1117_cast_fp16 = mul(x = var_1113_to_fp16, y = var_1116_cast_fp16)[name = string("op_1117_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> x_199_cast_fp16 = add(x = x_195_cast_fp16, y = var_1117_cast_fp16)[name = string("x_199_cast_fp16")]; | |
| string y_27_pad_type_0 = const()[name = string("y_27_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_27_strides_0 = const()[name = string("y_27_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_27_pad_0 = const()[name = string("y_27_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_27_dilations_0 = const()[name = string("y_27_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_27_groups_0 = const()[name = string("y_27_groups_0"), val = int32(1)]; | |
| tensor<fp16, [64, 64, 1]> weight_59_to_fp16 = const()[name = string("weight_59_to_fp16"), val = tensor<fp16, [64, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85817536)))]; | |
| tensor<fp16, [64]> model_6_block_3_block_3_bias_to_fp16 = const()[name = string("model_6_block_3_block_3_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85825792)))]; | |
| tensor<fp16, [1, 64, ?]> y_27_cast_fp16 = conv(bias = model_6_block_3_block_3_bias_to_fp16, dilations = y_27_dilations_0, groups = y_27_groups_0, pad = y_27_pad_0, pad_type = y_27_pad_type_0, strides = y_27_strides_0, weight = weight_59_to_fp16, x = x_199_cast_fp16)[name = string("y_27_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> x_201_cast_fp16 = add(x = x_189_cast_fp16, y = y_27_cast_fp16)[name = string("x_201_cast_fp16")]; | |
| tensor<fp16, [1, 64, 1]> model_6_block_4_block_0_alpha_to_fp16 = const()[name = string("model_6_block_4_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85825984)))]; | |
| tensor<fp16, [1, 64, ?]> var_1153_cast_fp16 = mul(x = model_6_block_4_block_0_alpha_to_fp16, y = x_201_cast_fp16)[name = string("op_1153_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> var_1154_cast_fp16 = sin(x = var_1153_cast_fp16)[name = string("op_1154_cast_fp16")]; | |
| fp16 var_16_promoted_33_to_fp16 = const()[name = string("op_16_promoted_33_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 64, ?]> var_1155_cast_fp16 = pow(x = var_1154_cast_fp16, y = var_16_promoted_33_to_fp16)[name = string("op_1155_cast_fp16")]; | |
| tensor<fp16, [1, 64, 1]> var_1152_to_fp16 = const()[name = string("op_1152_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85826176)))]; | |
| tensor<fp16, [1, 64, ?]> var_1156_cast_fp16 = mul(x = var_1152_to_fp16, y = var_1155_cast_fp16)[name = string("op_1156_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> x_205_cast_fp16 = add(x = x_201_cast_fp16, y = var_1156_cast_fp16)[name = string("x_205_cast_fp16")]; | |
| tensor<int32, [6]> input_131_pad_0 = const()[name = string("input_131_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 54, 0])]; | |
| string input_131_mode_0 = const()[name = string("input_131_mode_0"), val = string("constant")]; | |
| fp16 const_30_to_fp16 = const()[name = string("const_30_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 64, ?]> input_131_cast_fp16 = pad(constant_val = const_30_to_fp16, mode = input_131_mode_0, pad = input_131_pad_0, x = x_205_cast_fp16)[name = string("input_131_cast_fp16")]; | |
| string x_207_pad_type_0 = const()[name = string("x_207_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> x_207_dilations_0 = const()[name = string("x_207_dilations_0"), val = tensor<int32, [1]>([9])]; | |
| int32 x_207_groups_0 = const()[name = string("x_207_groups_0"), val = int32(64)]; | |
| tensor<int32, [1]> x_207_strides_0 = const()[name = string("x_207_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> x_207_pad_0 = const()[name = string("x_207_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<fp16, [64, 1, 7]> weight_61_to_fp16 = const()[name = string("weight_61_to_fp16"), val = tensor<fp16, [64, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85826368)))]; | |
| tensor<fp16, [64]> model_6_block_4_block_1_bias_to_fp16 = const()[name = string("model_6_block_4_block_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85827328)))]; | |
| tensor<fp16, [1, 64, ?]> x_207_cast_fp16 = conv(bias = model_6_block_4_block_1_bias_to_fp16, dilations = x_207_dilations_0, groups = x_207_groups_0, pad = x_207_pad_0, pad_type = x_207_pad_type_0, strides = x_207_strides_0, weight = weight_61_to_fp16, x = input_131_cast_fp16)[name = string("x_207_cast_fp16")]; | |
| tensor<fp16, [1, 64, 1]> model_6_block_4_block_2_alpha_to_fp16 = const()[name = string("model_6_block_4_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85827520)))]; | |
| tensor<fp16, [1, 64, ?]> var_1178_cast_fp16 = mul(x = model_6_block_4_block_2_alpha_to_fp16, y = x_207_cast_fp16)[name = string("op_1178_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> var_1179_cast_fp16 = sin(x = var_1178_cast_fp16)[name = string("op_1179_cast_fp16")]; | |
| fp16 var_16_promoted_34_to_fp16 = const()[name = string("op_16_promoted_34_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 64, ?]> var_1180_cast_fp16 = pow(x = var_1179_cast_fp16, y = var_16_promoted_34_to_fp16)[name = string("op_1180_cast_fp16")]; | |
| tensor<fp16, [1, 64, 1]> var_1177_to_fp16 = const()[name = string("op_1177_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85827712)))]; | |
| tensor<fp16, [1, 64, ?]> var_1181_cast_fp16 = mul(x = var_1177_to_fp16, y = var_1180_cast_fp16)[name = string("op_1181_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> x_211_cast_fp16 = add(x = x_207_cast_fp16, y = var_1181_cast_fp16)[name = string("x_211_cast_fp16")]; | |
| string y_pad_type_0 = const()[name = string("y_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> y_strides_0 = const()[name = string("y_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> y_pad_0 = const()[name = string("y_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> y_dilations_0 = const()[name = string("y_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 y_groups_0 = const()[name = string("y_groups_0"), val = int32(1)]; | |
| tensor<fp16, [64, 64, 1]> weight_63_to_fp16 = const()[name = string("weight_63_to_fp16"), val = tensor<fp16, [64, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85827904)))]; | |
| tensor<fp16, [64]> model_6_block_4_block_3_bias_to_fp16 = const()[name = string("model_6_block_4_block_3_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85836160)))]; | |
| tensor<fp16, [1, 64, ?]> y_cast_fp16 = conv(bias = model_6_block_4_block_3_bias_to_fp16, dilations = y_dilations_0, groups = y_groups_0, pad = y_pad_0, pad_type = y_pad_type_0, strides = y_strides_0, weight = weight_63_to_fp16, x = x_211_cast_fp16)[name = string("y_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> x_213_cast_fp16 = add(x = x_201_cast_fp16, y = y_cast_fp16)[name = string("x_213_cast_fp16")]; | |
| tensor<fp16, [1, 64, 1]> model_7_alpha_to_fp16 = const()[name = string("model_7_alpha_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85836352)))]; | |
| tensor<fp16, [1, 64, ?]> var_1204_cast_fp16 = mul(x = model_7_alpha_to_fp16, y = x_213_cast_fp16)[name = string("op_1204_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> var_1205_cast_fp16 = sin(x = var_1204_cast_fp16)[name = string("op_1205_cast_fp16")]; | |
| fp16 var_16_promoted_35_to_fp16 = const()[name = string("op_16_promoted_35_to_fp16"), val = fp16(0x1p+1)]; | |
| tensor<fp16, [1, 64, ?]> var_1206_cast_fp16 = pow(x = var_1205_cast_fp16, y = var_16_promoted_35_to_fp16)[name = string("op_1206_cast_fp16")]; | |
| tensor<fp16, [1, 64, 1]> var_1203_to_fp16 = const()[name = string("op_1203_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85836544)))]; | |
| tensor<fp16, [1, 64, ?]> var_1207_cast_fp16 = mul(x = var_1203_to_fp16, y = var_1206_cast_fp16)[name = string("op_1207_cast_fp16")]; | |
| tensor<fp16, [1, 64, ?]> x_cast_fp16 = add(x = x_213_cast_fp16, y = var_1207_cast_fp16)[name = string("x_cast_fp16")]; | |
| tensor<int32, [6]> input_139_pad_0 = const()[name = string("input_139_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 6, 0])]; | |
| string input_139_mode_0 = const()[name = string("input_139_mode_0"), val = string("constant")]; | |
| fp16 const_32_to_fp16 = const()[name = string("const_32_to_fp16"), val = fp16(0x0p+0)]; | |
| tensor<fp16, [1, 64, ?]> input_139_cast_fp16 = pad(constant_val = const_32_to_fp16, mode = input_139_mode_0, pad = input_139_pad_0, x = x_cast_fp16)[name = string("input_139_cast_fp16")]; | |
| string input_pad_type_0 = const()[name = string("input_pad_type_0"), val = string("valid")]; | |
| tensor<int32, [1]> input_strides_0 = const()[name = string("input_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> input_pad_0 = const()[name = string("input_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> input_dilations_0 = const()[name = string("input_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| int32 input_groups_0 = const()[name = string("input_groups_0"), val = int32(1)]; | |
| tensor<fp16, [1, 64, 7]> weight_to_fp16 = const()[name = string("weight_to_fp16"), val = tensor<fp16, [1, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(85836736)))]; | |
| tensor<fp16, [1]> model_8_bias_to_fp16 = const()[name = string("model_8_bias_to_fp16"), val = tensor<fp16, [1]>([-0x1.208p-15])]; | |
| tensor<fp16, [1, 1, ?]> input_cast_fp16 = conv(bias = model_8_bias_to_fp16, dilations = input_dilations_0, groups = input_groups_0, pad = input_pad_0, pad_type = input_pad_type_0, strides = input_strides_0, weight = weight_to_fp16, x = input_139_cast_fp16)[name = string("input_cast_fp16")]; | |
| tensor<fp16, [1, 1, ?]> decoded_audio = tanh(x = input_cast_fp16)[name = string("op_1220_cast_fp16")]; | |
| } -> (decoded_audio); | |
| } |