program(1.0) [buildInfo = dict, tensor>({{"coremlc-component-MIL", "3520.4.1"}, {"coremlc-version", "3520.5.1"}})] { func main(tensor F0_curve, tensor N_pred, tensor asr, tensor style_timbre, tensor x_source_0, tensor x_source_1) [FlexibleShapeInformation = tuple, dict, tensor>>, tuple, dict, list, ?>>>>((("DefaultShapes", {{"F0_curve", [1, 240]}, {"N_pred", [1, 240]}, {"asr", [1, 512, 120]}, {"x_source_0", [1, 256, 2400]}, {"x_source_1", [1, 128, 14401]}}), ("RangeDims", {{"F0_curve", [[1, 1], [2, 4000]]}, {"N_pred", [[1, 1], [2, 4000]]}, {"asr", [[1, 1], [512, 512], [1, 2000]]}, {"x_source_0", [[1, 1], [256, 256], [1, 40000]]}, {"x_source_1", [[1, 1], [128, 128], [1, 240001]]}})))] { tensor input_1_axes_0 = const()[name = tensor("input_1_axes_0"), val = tensor([1])]; tensor input_1_cast_fp16 = expand_dims(axes = input_1_axes_0, x = F0_curve)[name = tensor("input_1_cast_fp16")]; tensor F0_pad_type_0 = const()[name = tensor("F0_pad_type_0"), val = tensor("custom")]; tensor F0_pad_0 = const()[name = tensor("F0_pad_0"), val = tensor([1, 1])]; tensor F0_strides_0 = const()[name = tensor("F0_strides_0"), val = tensor([2])]; tensor F0_dilations_0 = const()[name = tensor("F0_dilations_0"), val = tensor([1])]; tensor F0_groups_0 = const()[name = tensor("F0_groups_0"), val = tensor(1)]; tensor weight_1_to_fp16 = const()[name = tensor("weight_1_to_fp16"), val = tensor([[[0x1.a88p-5, 0x1.b18p-5, -0x1.6d8p-6]]])]; tensor F0_conv_bias_to_fp16 = const()[name = tensor("F0_conv_bias_to_fp16"), val = tensor([-0x1.004p-2])]; tensor F0_cast_fp16 = conv(bias = F0_conv_bias_to_fp16, dilations = F0_dilations_0, groups = F0_groups_0, pad = F0_pad_0, pad_type = F0_pad_type_0, strides = F0_strides_0, weight = weight_1_to_fp16, x = input_1_cast_fp16)[name = tensor("F0_cast_fp16")]; tensor input_3_axes_0 = const()[name = tensor("input_3_axes_0"), val = tensor([1])]; tensor input_3_cast_fp16 = expand_dims(axes = input_3_axes_0, x = N_pred)[name = tensor("input_3_cast_fp16")]; tensor N_feat_pad_type_0 = const()[name = tensor("N_feat_pad_type_0"), val = tensor("custom")]; tensor N_feat_pad_0 = const()[name = tensor("N_feat_pad_0"), val = tensor([1, 1])]; tensor N_feat_strides_0 = const()[name = tensor("N_feat_strides_0"), val = tensor([2])]; tensor N_feat_dilations_0 = const()[name = tensor("N_feat_dilations_0"), val = tensor([1])]; tensor N_feat_groups_0 = const()[name = tensor("N_feat_groups_0"), val = tensor(1)]; tensor weight_3_to_fp16 = const()[name = tensor("weight_3_to_fp16"), val = tensor([[[0x1.cc4p-2, 0x1.35cp-1, 0x1.b98p-2]]])]; tensor N_conv_bias_to_fp16 = const()[name = tensor("N_conv_bias_to_fp16"), val = tensor([-0x1.e68p-2])]; tensor N_feat_cast_fp16 = conv(bias = N_conv_bias_to_fp16, dilations = N_feat_dilations_0, groups = N_feat_groups_0, pad = N_feat_pad_0, pad_type = N_feat_pad_type_0, strides = N_feat_strides_0, weight = weight_3_to_fp16, x = input_3_cast_fp16)[name = tensor("N_feat_cast_fp16")]; tensor var_86 = const()[name = tensor("op_86"), val = tensor(1)]; tensor input_5_interleave_0 = const()[name = tensor("input_5_interleave_0"), val = tensor(false)]; tensor input_5_cast_fp16 = concat(axis = var_86, interleave = input_5_interleave_0, values = (asr, F0_cast_fp16, N_feat_cast_fp16))[name = tensor("input_5_cast_fp16")]; tensor var_90 = const()[name = tensor("op_90"), val = tensor(0x1.99999ap-3)]; tensor encode_norm1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(64))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(131712))), name = tensor("encode_norm1_fc_weight_to_fp16_palettized"), shape = tensor([1028, 128])]; tensor encode_norm1_fc_bias_to_fp16 = const()[name = tensor("encode_norm1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(132288)))]; tensor linear_0_cast_fp16 = linear(bias = encode_norm1_fc_bias_to_fp16, weight = encode_norm1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_0_cast_fp16")]; tensor var_120 = const()[name = tensor("op_120"), val = tensor([1, 1028, 1])]; tensor h_3_cast_fp16 = reshape(shape = var_120, x = linear_0_cast_fp16)[name = tensor("h_3_cast_fp16")]; tensor var_122_split_sizes_0 = const()[name = tensor("op_122_split_sizes_0"), val = tensor([514, 514])]; tensor var_122_axis_0 = const()[name = tensor("op_122_axis_0"), val = tensor(1)]; tensor var_122_cast_fp16_0, tensor var_122_cast_fp16_1 = split(axis = var_122_axis_0, split_sizes = var_122_split_sizes_0, x = h_3_cast_fp16)[name = tensor("op_122_cast_fp16")]; tensor var_124_promoted_to_fp16 = const()[name = tensor("op_124_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_125_cast_fp16 = add(x = var_122_cast_fp16_0, y = var_124_promoted_to_fp16)[name = tensor("op_125_cast_fp16")]; tensor encode_norm1_norm_weight_to_fp16 = const()[name = tensor("encode_norm1_norm_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(134464)))]; tensor encode_norm1_norm_bias_to_fp16 = const()[name = tensor("encode_norm1_norm_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(135616)))]; tensor var_93_to_fp16 = const()[name = tensor("op_93_to_fp16"), val = tensor(0x1.5p-17)]; tensor var_128_cast_fp16 = instance_norm(beta = encode_norm1_norm_bias_to_fp16, epsilon = var_93_to_fp16, gamma = encode_norm1_norm_weight_to_fp16, x = input_5_cast_fp16)[name = tensor("op_128_cast_fp16")]; tensor var_129_cast_fp16 = mul(x = var_125_cast_fp16, y = var_128_cast_fp16)[name = tensor("op_129_cast_fp16")]; tensor input_7_cast_fp16 = add(x = var_129_cast_fp16, y = var_122_cast_fp16_1)[name = tensor("input_7_cast_fp16")]; tensor input_9_cast_fp16 = leaky_relu(alpha = var_90, x = input_7_cast_fp16)[name = tensor("input_9_cast_fp16")]; tensor input_13_pad_type_0 = const()[name = tensor("input_13_pad_type_0"), val = tensor("custom")]; tensor input_13_pad_0 = const()[name = tensor("input_13_pad_0"), val = tensor([1, 1])]; tensor input_13_strides_0 = const()[name = tensor("input_13_strides_0"), val = tensor([1])]; tensor input_13_dilations_0 = const()[name = tensor("input_13_dilations_0"), val = tensor([1])]; tensor input_13_groups_0 = const()[name = tensor("input_13_groups_0"), val = tensor(1)]; tensor weight_7_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(136768))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1715840))), name = tensor("weight_7_to_fp16_palettized"), shape = tensor([1024, 514, 3])]; tensor encode_conv1_bias_to_fp16 = const()[name = tensor("encode_conv1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1716416)))]; tensor input_13_cast_fp16 = conv(bias = encode_conv1_bias_to_fp16, dilations = input_13_dilations_0, groups = input_13_groups_0, pad = input_13_pad_0, pad_type = input_13_pad_type_0, strides = input_13_strides_0, weight = weight_7_to_fp16_palettized, x = input_9_cast_fp16)[name = tensor("input_13_cast_fp16")]; tensor encode_norm2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1718528))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1980736))), name = tensor("encode_norm2_fc_weight_to_fp16_palettized"), shape = tensor([2048, 128])]; tensor encode_norm2_fc_bias_to_fp16 = const()[name = tensor("encode_norm2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1981312)))]; tensor linear_1_cast_fp16 = linear(bias = encode_norm2_fc_bias_to_fp16, weight = encode_norm2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_1_cast_fp16")]; tensor var_147 = const()[name = tensor("op_147"), val = tensor([1, 2048, 1])]; tensor h_7_cast_fp16 = reshape(shape = var_147, x = linear_1_cast_fp16)[name = tensor("h_7_cast_fp16")]; tensor var_149_split_sizes_0 = const()[name = tensor("op_149_split_sizes_0"), val = tensor([1024, 1024])]; tensor var_149_axis_0 = const()[name = tensor("op_149_axis_0"), val = tensor(1)]; tensor var_149_cast_fp16_0, tensor var_149_cast_fp16_1 = split(axis = var_149_axis_0, split_sizes = var_149_split_sizes_0, x = h_7_cast_fp16)[name = tensor("op_149_cast_fp16")]; tensor var_151_promoted_to_fp16 = const()[name = tensor("op_151_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_152_cast_fp16 = add(x = var_149_cast_fp16_0, y = var_151_promoted_to_fp16)[name = tensor("op_152_cast_fp16")]; tensor encode_norm2_norm_weight_to_fp16 = const()[name = tensor("encode_norm2_norm_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1985472)))]; tensor encode_norm2_norm_bias_to_fp16 = const()[name = tensor("encode_norm2_norm_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1987584)))]; tensor var_155_cast_fp16 = instance_norm(beta = encode_norm2_norm_bias_to_fp16, epsilon = var_93_to_fp16, gamma = encode_norm2_norm_weight_to_fp16, x = input_13_cast_fp16)[name = tensor("op_155_cast_fp16")]; tensor var_156_cast_fp16 = mul(x = var_152_cast_fp16, y = var_155_cast_fp16)[name = tensor("op_156_cast_fp16")]; tensor input_15_cast_fp16 = add(x = var_156_cast_fp16, y = var_149_cast_fp16_1)[name = tensor("input_15_cast_fp16")]; tensor input_17_cast_fp16 = leaky_relu(alpha = var_90, x = input_15_cast_fp16)[name = tensor("input_17_cast_fp16")]; tensor out_1_pad_type_0 = const()[name = tensor("out_1_pad_type_0"), val = tensor("custom")]; tensor out_1_pad_0 = const()[name = tensor("out_1_pad_0"), val = tensor([1, 1])]; tensor out_1_strides_0 = const()[name = tensor("out_1_strides_0"), val = tensor([1])]; tensor out_1_dilations_0 = const()[name = tensor("out_1_dilations_0"), val = tensor([1])]; tensor out_1_groups_0 = const()[name = tensor("out_1_groups_0"), val = tensor(1)]; tensor weight_11_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1989696))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5135488))), name = tensor("weight_11_to_fp16_palettized"), shape = tensor([1024, 1024, 3])]; tensor encode_conv2_bias_to_fp16 = const()[name = tensor("encode_conv2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5136064)))]; tensor out_1_cast_fp16 = conv(bias = encode_conv2_bias_to_fp16, dilations = out_1_dilations_0, groups = out_1_groups_0, pad = out_1_pad_0, pad_type = out_1_pad_type_0, strides = out_1_strides_0, weight = weight_11_to_fp16_palettized, x = input_17_cast_fp16)[name = tensor("out_1_cast_fp16")]; tensor var_172_pad_type_0 = const()[name = tensor("op_172_pad_type_0"), val = tensor("valid")]; tensor var_172_strides_0 = const()[name = tensor("op_172_strides_0"), val = tensor([1])]; tensor var_172_pad_0 = const()[name = tensor("op_172_pad_0"), val = tensor([0, 0])]; tensor var_172_dilations_0 = const()[name = tensor("op_172_dilations_0"), val = tensor([1])]; tensor var_172_groups_0 = const()[name = tensor("op_172_groups_0"), val = tensor(1)]; tensor weight_13_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5138176))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5664576))), name = tensor("weight_13_to_fp16_palettized"), shape = tensor([1024, 514, 1])]; tensor var_172_cast_fp16 = conv(dilations = var_172_dilations_0, groups = var_172_groups_0, pad = var_172_pad_0, pad_type = var_172_pad_type_0, strides = var_172_strides_0, weight = weight_13_to_fp16_palettized, x = input_5_cast_fp16)[name = tensor("op_172_cast_fp16")]; tensor var_173_cast_fp16 = add(x = out_1_cast_fp16, y = var_172_cast_fp16)[name = tensor("op_173_cast_fp16")]; tensor var_174_to_fp16 = const()[name = tensor("op_174_to_fp16"), val = tensor(0x1.6ap-1)]; tensor x_1_cast_fp16 = mul(x = var_173_cast_fp16, y = var_174_to_fp16)[name = tensor("x_1_cast_fp16")]; tensor asr_res_1_pad_type_0 = const()[name = tensor("asr_res_1_pad_type_0"), val = tensor("valid")]; tensor asr_res_1_strides_0 = const()[name = tensor("asr_res_1_strides_0"), val = tensor([1])]; tensor asr_res_1_pad_0 = const()[name = tensor("asr_res_1_pad_0"), val = tensor([0, 0])]; tensor asr_res_1_dilations_0 = const()[name = tensor("asr_res_1_dilations_0"), val = tensor([1])]; tensor asr_res_1_groups_0 = const()[name = tensor("asr_res_1_groups_0"), val = tensor(1)]; tensor weight_15_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5665152))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5697984))), name = tensor("weight_15_to_fp16_palettized"), shape = tensor([64, 512, 1])]; tensor asr_res_0_bias_to_fp16 = const()[name = tensor("asr_res_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5698560)))]; tensor asr_res_1_cast_fp16 = conv(bias = asr_res_0_bias_to_fp16, dilations = asr_res_1_dilations_0, groups = asr_res_1_groups_0, pad = asr_res_1_pad_0, pad_type = asr_res_1_pad_type_0, strides = asr_res_1_strides_0, weight = weight_15_to_fp16_palettized, x = asr)[name = tensor("asr_res_1_cast_fp16")]; tensor var_193 = const()[name = tensor("op_193"), val = tensor(1)]; tensor input_21_interleave_0 = const()[name = tensor("input_21_interleave_0"), val = tensor(false)]; tensor input_21_cast_fp16 = concat(axis = var_193, interleave = input_21_interleave_0, values = (x_1_cast_fp16, asr_res_1_cast_fp16, F0_cast_fp16, N_feat_cast_fp16))[name = tensor("input_21_cast_fp16")]; tensor var_197 = const()[name = tensor("op_197"), val = tensor(0x1.99999ap-3)]; tensor decode_0_norm1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5698752))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5977856))), name = tensor("decode_0_norm1_fc_weight_to_fp16_palettized"), shape = tensor([2180, 128])]; tensor decode_0_norm1_fc_bias_to_fp16 = const()[name = tensor("decode_0_norm1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5978432)))]; tensor linear_2_cast_fp16 = linear(bias = decode_0_norm1_fc_bias_to_fp16, weight = decode_0_norm1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_2_cast_fp16")]; tensor var_227 = const()[name = tensor("op_227"), val = tensor([1, 2180, 1])]; tensor h_11_cast_fp16 = reshape(shape = var_227, x = linear_2_cast_fp16)[name = tensor("h_11_cast_fp16")]; tensor var_229_split_sizes_0 = const()[name = tensor("op_229_split_sizes_0"), val = tensor([1090, 1090])]; tensor var_229_axis_0 = const()[name = tensor("op_229_axis_0"), val = tensor(1)]; tensor var_229_cast_fp16_0, tensor var_229_cast_fp16_1 = split(axis = var_229_axis_0, split_sizes = var_229_split_sizes_0, x = h_11_cast_fp16)[name = tensor("op_229_cast_fp16")]; tensor var_231_promoted_to_fp16 = const()[name = tensor("op_231_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_232_cast_fp16 = add(x = var_229_cast_fp16_0, y = var_231_promoted_to_fp16)[name = tensor("op_232_cast_fp16")]; tensor decode_0_norm1_norm_weight_to_fp16 = const()[name = tensor("decode_0_norm1_norm_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5982912)))]; tensor decode_0_norm1_norm_bias_to_fp16 = const()[name = tensor("decode_0_norm1_norm_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5985216)))]; tensor var_200_to_fp16 = const()[name = tensor("op_200_to_fp16"), val = tensor(0x1.5p-17)]; tensor var_235_cast_fp16 = instance_norm(beta = decode_0_norm1_norm_bias_to_fp16, epsilon = var_200_to_fp16, gamma = decode_0_norm1_norm_weight_to_fp16, x = input_21_cast_fp16)[name = tensor("op_235_cast_fp16")]; tensor var_236_cast_fp16 = mul(x = var_232_cast_fp16, y = var_235_cast_fp16)[name = tensor("op_236_cast_fp16")]; tensor input_23_cast_fp16 = add(x = var_236_cast_fp16, y = var_229_cast_fp16_1)[name = tensor("input_23_cast_fp16")]; tensor input_25_cast_fp16 = leaky_relu(alpha = var_197, x = input_23_cast_fp16)[name = tensor("input_25_cast_fp16")]; tensor input_29_pad_type_0 = const()[name = tensor("input_29_pad_type_0"), val = tensor("custom")]; tensor input_29_pad_0 = const()[name = tensor("input_29_pad_0"), val = tensor([1, 1])]; tensor input_29_strides_0 = const()[name = tensor("input_29_strides_0"), val = tensor([1])]; tensor input_29_dilations_0 = const()[name = tensor("input_29_dilations_0"), val = tensor([1])]; tensor input_29_groups_0 = const()[name = tensor("input_29_groups_0"), val = tensor(1)]; tensor weight_19_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5987520))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9336064))), name = tensor("weight_19_to_fp16_palettized"), shape = tensor([1024, 1090, 3])]; tensor decode_0_conv1_bias_to_fp16 = const()[name = tensor("decode_0_conv1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9336640)))]; tensor input_29_cast_fp16 = conv(bias = decode_0_conv1_bias_to_fp16, dilations = input_29_dilations_0, groups = input_29_groups_0, pad = input_29_pad_0, pad_type = input_29_pad_type_0, strides = input_29_strides_0, weight = weight_19_to_fp16_palettized, x = input_25_cast_fp16)[name = tensor("input_29_cast_fp16")]; tensor decode_0_norm2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9338752))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9600960))), name = tensor("decode_0_norm2_fc_weight_to_fp16_palettized"), shape = tensor([2048, 128])]; tensor decode_0_norm2_fc_bias_to_fp16 = const()[name = tensor("decode_0_norm2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9601536)))]; tensor linear_3_cast_fp16 = linear(bias = decode_0_norm2_fc_bias_to_fp16, weight = decode_0_norm2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_3_cast_fp16")]; tensor var_254 = const()[name = tensor("op_254"), val = tensor([1, 2048, 1])]; tensor h_15_cast_fp16 = reshape(shape = var_254, x = linear_3_cast_fp16)[name = tensor("h_15_cast_fp16")]; tensor var_256_split_sizes_0 = const()[name = tensor("op_256_split_sizes_0"), val = tensor([1024, 1024])]; tensor var_256_axis_0 = const()[name = tensor("op_256_axis_0"), val = tensor(1)]; tensor var_256_cast_fp16_0, tensor var_256_cast_fp16_1 = split(axis = var_256_axis_0, split_sizes = var_256_split_sizes_0, x = h_15_cast_fp16)[name = tensor("op_256_cast_fp16")]; tensor var_258_promoted_to_fp16 = const()[name = tensor("op_258_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_259_cast_fp16 = add(x = var_256_cast_fp16_0, y = var_258_promoted_to_fp16)[name = tensor("op_259_cast_fp16")]; tensor var_262_cast_fp16 = instance_norm(beta = encode_norm2_norm_bias_to_fp16, epsilon = var_200_to_fp16, gamma = encode_norm2_norm_weight_to_fp16, x = input_29_cast_fp16)[name = tensor("op_262_cast_fp16")]; tensor var_263_cast_fp16 = mul(x = var_259_cast_fp16, y = var_262_cast_fp16)[name = tensor("op_263_cast_fp16")]; tensor input_31_cast_fp16 = add(x = var_263_cast_fp16, y = var_256_cast_fp16_1)[name = tensor("input_31_cast_fp16")]; tensor input_33_cast_fp16 = leaky_relu(alpha = var_197, x = input_31_cast_fp16)[name = tensor("input_33_cast_fp16")]; tensor out_3_pad_type_0 = const()[name = tensor("out_3_pad_type_0"), val = tensor("custom")]; tensor out_3_pad_0 = const()[name = tensor("out_3_pad_0"), val = tensor([1, 1])]; tensor out_3_strides_0 = const()[name = tensor("out_3_strides_0"), val = tensor([1])]; tensor out_3_dilations_0 = const()[name = tensor("out_3_dilations_0"), val = tensor([1])]; tensor out_3_groups_0 = const()[name = tensor("out_3_groups_0"), val = tensor(1)]; tensor weight_23_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9605696))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12751488))), name = tensor("weight_23_to_fp16_palettized"), shape = tensor([1024, 1024, 3])]; tensor decode_0_conv2_bias_to_fp16 = const()[name = tensor("decode_0_conv2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12752064)))]; tensor out_3_cast_fp16 = conv(bias = decode_0_conv2_bias_to_fp16, dilations = out_3_dilations_0, groups = out_3_groups_0, pad = out_3_pad_0, pad_type = out_3_pad_type_0, strides = out_3_strides_0, weight = weight_23_to_fp16_palettized, x = input_33_cast_fp16)[name = tensor("out_3_cast_fp16")]; tensor var_279_pad_type_0 = const()[name = tensor("op_279_pad_type_0"), val = tensor("valid")]; tensor var_279_strides_0 = const()[name = tensor("op_279_strides_0"), val = tensor([1])]; tensor var_279_pad_0 = const()[name = tensor("op_279_pad_0"), val = tensor([0, 0])]; tensor var_279_dilations_0 = const()[name = tensor("op_279_dilations_0"), val = tensor([1])]; tensor var_279_groups_0 = const()[name = tensor("op_279_groups_0"), val = tensor(1)]; tensor weight_25_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12754176))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13870400))), name = tensor("weight_25_to_fp16_palettized"), shape = tensor([1024, 1090, 1])]; tensor var_279_cast_fp16 = conv(dilations = var_279_dilations_0, groups = var_279_groups_0, pad = var_279_pad_0, pad_type = var_279_pad_type_0, strides = var_279_strides_0, weight = weight_25_to_fp16_palettized, x = input_21_cast_fp16)[name = tensor("op_279_cast_fp16")]; tensor var_280_cast_fp16 = add(x = out_3_cast_fp16, y = var_279_cast_fp16)[name = tensor("op_280_cast_fp16")]; tensor var_281_to_fp16 = const()[name = tensor("op_281_to_fp16"), val = tensor(0x1.6ap-1)]; tensor x_3_cast_fp16 = mul(x = var_280_cast_fp16, y = var_281_to_fp16)[name = tensor("x_3_cast_fp16")]; tensor var_284 = const()[name = tensor("op_284"), val = tensor(1)]; tensor input_37_interleave_0 = const()[name = tensor("input_37_interleave_0"), val = tensor(false)]; tensor input_37_cast_fp16 = concat(axis = var_284, interleave = input_37_interleave_0, values = (x_3_cast_fp16, asr_res_1_cast_fp16, F0_cast_fp16, N_feat_cast_fp16))[name = tensor("input_37_cast_fp16")]; tensor var_288 = const()[name = tensor("op_288"), val = tensor(0x1.99999ap-3)]; tensor decode_1_norm1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13870976))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14150080))), name = tensor("decode_1_norm1_fc_weight_to_fp16_palettized"), shape = tensor([2180, 128])]; tensor decode_1_norm1_fc_bias_to_fp16 = const()[name = tensor("decode_1_norm1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14150656)))]; tensor linear_4_cast_fp16 = linear(bias = decode_1_norm1_fc_bias_to_fp16, weight = decode_1_norm1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_4_cast_fp16")]; tensor var_318 = const()[name = tensor("op_318"), val = tensor([1, 2180, 1])]; tensor h_19_cast_fp16 = reshape(shape = var_318, x = linear_4_cast_fp16)[name = tensor("h_19_cast_fp16")]; tensor var_320_split_sizes_0 = const()[name = tensor("op_320_split_sizes_0"), val = tensor([1090, 1090])]; tensor var_320_axis_0 = const()[name = tensor("op_320_axis_0"), val = tensor(1)]; tensor var_320_cast_fp16_0, tensor var_320_cast_fp16_1 = split(axis = var_320_axis_0, split_sizes = var_320_split_sizes_0, x = h_19_cast_fp16)[name = tensor("op_320_cast_fp16")]; tensor var_322_promoted_to_fp16 = const()[name = tensor("op_322_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_323_cast_fp16 = add(x = var_320_cast_fp16_0, y = var_322_promoted_to_fp16)[name = tensor("op_323_cast_fp16")]; tensor var_291_to_fp16 = const()[name = tensor("op_291_to_fp16"), val = tensor(0x1.5p-17)]; tensor var_326_cast_fp16 = instance_norm(beta = decode_0_norm1_norm_bias_to_fp16, epsilon = var_291_to_fp16, gamma = decode_0_norm1_norm_weight_to_fp16, x = input_37_cast_fp16)[name = tensor("op_326_cast_fp16")]; tensor var_327_cast_fp16 = mul(x = var_323_cast_fp16, y = var_326_cast_fp16)[name = tensor("op_327_cast_fp16")]; tensor input_39_cast_fp16 = add(x = var_327_cast_fp16, y = var_320_cast_fp16_1)[name = tensor("input_39_cast_fp16")]; tensor input_41_cast_fp16 = leaky_relu(alpha = var_288, x = input_39_cast_fp16)[name = tensor("input_41_cast_fp16")]; tensor input_45_pad_type_0 = const()[name = tensor("input_45_pad_type_0"), val = tensor("custom")]; tensor input_45_pad_0 = const()[name = tensor("input_45_pad_0"), val = tensor([1, 1])]; tensor input_45_strides_0 = const()[name = tensor("input_45_strides_0"), val = tensor([1])]; tensor input_45_dilations_0 = const()[name = tensor("input_45_dilations_0"), val = tensor([1])]; tensor input_45_groups_0 = const()[name = tensor("input_45_groups_0"), val = tensor(1)]; tensor weight_29_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14155136))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17503680))), name = tensor("weight_29_to_fp16_palettized"), shape = tensor([1024, 1090, 3])]; tensor decode_1_conv1_bias_to_fp16 = const()[name = tensor("decode_1_conv1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17504256)))]; tensor input_45_cast_fp16 = conv(bias = decode_1_conv1_bias_to_fp16, dilations = input_45_dilations_0, groups = input_45_groups_0, pad = input_45_pad_0, pad_type = input_45_pad_type_0, strides = input_45_strides_0, weight = weight_29_to_fp16_palettized, x = input_41_cast_fp16)[name = tensor("input_45_cast_fp16")]; tensor decode_1_norm2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17506368))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17768576))), name = tensor("decode_1_norm2_fc_weight_to_fp16_palettized"), shape = tensor([2048, 128])]; tensor decode_1_norm2_fc_bias_to_fp16 = const()[name = tensor("decode_1_norm2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17769152)))]; tensor linear_5_cast_fp16 = linear(bias = decode_1_norm2_fc_bias_to_fp16, weight = decode_1_norm2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_5_cast_fp16")]; tensor var_345 = const()[name = tensor("op_345"), val = tensor([1, 2048, 1])]; tensor h_23_cast_fp16 = reshape(shape = var_345, x = linear_5_cast_fp16)[name = tensor("h_23_cast_fp16")]; tensor var_347_split_sizes_0 = const()[name = tensor("op_347_split_sizes_0"), val = tensor([1024, 1024])]; tensor var_347_axis_0 = const()[name = tensor("op_347_axis_0"), val = tensor(1)]; tensor var_347_cast_fp16_0, tensor var_347_cast_fp16_1 = split(axis = var_347_axis_0, split_sizes = var_347_split_sizes_0, x = h_23_cast_fp16)[name = tensor("op_347_cast_fp16")]; tensor var_349_promoted_to_fp16 = const()[name = tensor("op_349_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_350_cast_fp16 = add(x = var_347_cast_fp16_0, y = var_349_promoted_to_fp16)[name = tensor("op_350_cast_fp16")]; tensor var_353_cast_fp16 = instance_norm(beta = encode_norm2_norm_bias_to_fp16, epsilon = var_291_to_fp16, gamma = encode_norm2_norm_weight_to_fp16, x = input_45_cast_fp16)[name = tensor("op_353_cast_fp16")]; tensor var_354_cast_fp16 = mul(x = var_350_cast_fp16, y = var_353_cast_fp16)[name = tensor("op_354_cast_fp16")]; tensor input_47_cast_fp16 = add(x = var_354_cast_fp16, y = var_347_cast_fp16_1)[name = tensor("input_47_cast_fp16")]; tensor input_49_cast_fp16 = leaky_relu(alpha = var_288, x = input_47_cast_fp16)[name = tensor("input_49_cast_fp16")]; tensor out_5_pad_type_0 = const()[name = tensor("out_5_pad_type_0"), val = tensor("custom")]; tensor out_5_pad_0 = const()[name = tensor("out_5_pad_0"), val = tensor([1, 1])]; tensor out_5_strides_0 = const()[name = tensor("out_5_strides_0"), val = tensor([1])]; tensor out_5_dilations_0 = const()[name = tensor("out_5_dilations_0"), val = tensor([1])]; tensor out_5_groups_0 = const()[name = tensor("out_5_groups_0"), val = tensor(1)]; tensor weight_33_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17773312))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(20919104))), name = tensor("weight_33_to_fp16_palettized"), shape = tensor([1024, 1024, 3])]; tensor decode_1_conv2_bias_to_fp16 = const()[name = tensor("decode_1_conv2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(20919680)))]; tensor out_5_cast_fp16 = conv(bias = decode_1_conv2_bias_to_fp16, dilations = out_5_dilations_0, groups = out_5_groups_0, pad = out_5_pad_0, pad_type = out_5_pad_type_0, strides = out_5_strides_0, weight = weight_33_to_fp16_palettized, x = input_49_cast_fp16)[name = tensor("out_5_cast_fp16")]; tensor var_370_pad_type_0 = const()[name = tensor("op_370_pad_type_0"), val = tensor("valid")]; tensor var_370_strides_0 = const()[name = tensor("op_370_strides_0"), val = tensor([1])]; tensor var_370_pad_0 = const()[name = tensor("op_370_pad_0"), val = tensor([0, 0])]; tensor var_370_dilations_0 = const()[name = tensor("op_370_dilations_0"), val = tensor([1])]; tensor var_370_groups_0 = const()[name = tensor("op_370_groups_0"), val = tensor(1)]; tensor weight_35_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(20921792))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22038016))), name = tensor("weight_35_to_fp16_palettized"), shape = tensor([1024, 1090, 1])]; tensor var_370_cast_fp16 = conv(dilations = var_370_dilations_0, groups = var_370_groups_0, pad = var_370_pad_0, pad_type = var_370_pad_type_0, strides = var_370_strides_0, weight = weight_35_to_fp16_palettized, x = input_37_cast_fp16)[name = tensor("op_370_cast_fp16")]; tensor var_371_cast_fp16 = add(x = out_5_cast_fp16, y = var_370_cast_fp16)[name = tensor("op_371_cast_fp16")]; tensor var_372_to_fp16 = const()[name = tensor("op_372_to_fp16"), val = tensor(0x1.6ap-1)]; tensor x_5_cast_fp16 = mul(x = var_371_cast_fp16, y = var_372_to_fp16)[name = tensor("x_5_cast_fp16")]; tensor var_375 = const()[name = tensor("op_375"), val = tensor(1)]; tensor input_53_interleave_0 = const()[name = tensor("input_53_interleave_0"), val = tensor(false)]; tensor input_53_cast_fp16 = concat(axis = var_375, interleave = input_53_interleave_0, values = (x_5_cast_fp16, asr_res_1_cast_fp16, F0_cast_fp16, N_feat_cast_fp16))[name = tensor("input_53_cast_fp16")]; tensor var_379 = const()[name = tensor("op_379"), val = tensor(0x1.99999ap-3)]; tensor decode_2_norm1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22038592))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22317696))), name = tensor("decode_2_norm1_fc_weight_to_fp16_palettized"), shape = tensor([2180, 128])]; tensor decode_2_norm1_fc_bias_to_fp16 = const()[name = tensor("decode_2_norm1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22318272)))]; tensor linear_6_cast_fp16 = linear(bias = decode_2_norm1_fc_bias_to_fp16, weight = decode_2_norm1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_6_cast_fp16")]; tensor var_409 = const()[name = tensor("op_409"), val = tensor([1, 2180, 1])]; tensor h_27_cast_fp16 = reshape(shape = var_409, x = linear_6_cast_fp16)[name = tensor("h_27_cast_fp16")]; tensor var_411_split_sizes_0 = const()[name = tensor("op_411_split_sizes_0"), val = tensor([1090, 1090])]; tensor var_411_axis_0 = const()[name = tensor("op_411_axis_0"), val = tensor(1)]; tensor var_411_cast_fp16_0, tensor var_411_cast_fp16_1 = split(axis = var_411_axis_0, split_sizes = var_411_split_sizes_0, x = h_27_cast_fp16)[name = tensor("op_411_cast_fp16")]; tensor var_413_promoted_to_fp16 = const()[name = tensor("op_413_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_414_cast_fp16 = add(x = var_411_cast_fp16_0, y = var_413_promoted_to_fp16)[name = tensor("op_414_cast_fp16")]; tensor var_382_to_fp16 = const()[name = tensor("op_382_to_fp16"), val = tensor(0x1.5p-17)]; tensor var_417_cast_fp16 = instance_norm(beta = decode_0_norm1_norm_bias_to_fp16, epsilon = var_382_to_fp16, gamma = decode_0_norm1_norm_weight_to_fp16, x = input_53_cast_fp16)[name = tensor("op_417_cast_fp16")]; tensor var_418_cast_fp16 = mul(x = var_414_cast_fp16, y = var_417_cast_fp16)[name = tensor("op_418_cast_fp16")]; tensor input_55_cast_fp16 = add(x = var_418_cast_fp16, y = var_411_cast_fp16_1)[name = tensor("input_55_cast_fp16")]; tensor input_57_cast_fp16 = leaky_relu(alpha = var_379, x = input_55_cast_fp16)[name = tensor("input_57_cast_fp16")]; tensor input_61_pad_type_0 = const()[name = tensor("input_61_pad_type_0"), val = tensor("custom")]; tensor input_61_pad_0 = const()[name = tensor("input_61_pad_0"), val = tensor([1, 1])]; tensor input_61_strides_0 = const()[name = tensor("input_61_strides_0"), val = tensor([1])]; tensor input_61_dilations_0 = const()[name = tensor("input_61_dilations_0"), val = tensor([1])]; tensor input_61_groups_0 = const()[name = tensor("input_61_groups_0"), val = tensor(1)]; tensor weight_39_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22322752))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25671296))), name = tensor("weight_39_to_fp16_palettized"), shape = tensor([1024, 1090, 3])]; tensor decode_2_conv1_bias_to_fp16 = const()[name = tensor("decode_2_conv1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25671872)))]; tensor input_61_cast_fp16 = conv(bias = decode_2_conv1_bias_to_fp16, dilations = input_61_dilations_0, groups = input_61_groups_0, pad = input_61_pad_0, pad_type = input_61_pad_type_0, strides = input_61_strides_0, weight = weight_39_to_fp16_palettized, x = input_57_cast_fp16)[name = tensor("input_61_cast_fp16")]; tensor decode_2_norm2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25673984))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25936192))), name = tensor("decode_2_norm2_fc_weight_to_fp16_palettized"), shape = tensor([2048, 128])]; tensor decode_2_norm2_fc_bias_to_fp16 = const()[name = tensor("decode_2_norm2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25936768)))]; tensor linear_7_cast_fp16 = linear(bias = decode_2_norm2_fc_bias_to_fp16, weight = decode_2_norm2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_7_cast_fp16")]; tensor var_436 = const()[name = tensor("op_436"), val = tensor([1, 2048, 1])]; tensor h_31_cast_fp16 = reshape(shape = var_436, x = linear_7_cast_fp16)[name = tensor("h_31_cast_fp16")]; tensor var_438_split_sizes_0 = const()[name = tensor("op_438_split_sizes_0"), val = tensor([1024, 1024])]; tensor var_438_axis_0 = const()[name = tensor("op_438_axis_0"), val = tensor(1)]; tensor var_438_cast_fp16_0, tensor var_438_cast_fp16_1 = split(axis = var_438_axis_0, split_sizes = var_438_split_sizes_0, x = h_31_cast_fp16)[name = tensor("op_438_cast_fp16")]; tensor var_440_promoted_to_fp16 = const()[name = tensor("op_440_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_441_cast_fp16 = add(x = var_438_cast_fp16_0, y = var_440_promoted_to_fp16)[name = tensor("op_441_cast_fp16")]; tensor var_444_cast_fp16 = instance_norm(beta = encode_norm2_norm_bias_to_fp16, epsilon = var_382_to_fp16, gamma = encode_norm2_norm_weight_to_fp16, x = input_61_cast_fp16)[name = tensor("op_444_cast_fp16")]; tensor var_445_cast_fp16 = mul(x = var_441_cast_fp16, y = var_444_cast_fp16)[name = tensor("op_445_cast_fp16")]; tensor input_63_cast_fp16 = add(x = var_445_cast_fp16, y = var_438_cast_fp16_1)[name = tensor("input_63_cast_fp16")]; tensor input_65_cast_fp16 = leaky_relu(alpha = var_379, x = input_63_cast_fp16)[name = tensor("input_65_cast_fp16")]; tensor out_7_pad_type_0 = const()[name = tensor("out_7_pad_type_0"), val = tensor("custom")]; tensor out_7_pad_0 = const()[name = tensor("out_7_pad_0"), val = tensor([1, 1])]; tensor out_7_strides_0 = const()[name = tensor("out_7_strides_0"), val = tensor([1])]; tensor out_7_dilations_0 = const()[name = tensor("out_7_dilations_0"), val = tensor([1])]; tensor out_7_groups_0 = const()[name = tensor("out_7_groups_0"), val = tensor(1)]; tensor weight_43_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25940928))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(29086720))), name = tensor("weight_43_to_fp16_palettized"), shape = tensor([1024, 1024, 3])]; tensor decode_2_conv2_bias_to_fp16 = const()[name = tensor("decode_2_conv2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(29087296)))]; tensor out_7_cast_fp16 = conv(bias = decode_2_conv2_bias_to_fp16, dilations = out_7_dilations_0, groups = out_7_groups_0, pad = out_7_pad_0, pad_type = out_7_pad_type_0, strides = out_7_strides_0, weight = weight_43_to_fp16_palettized, x = input_65_cast_fp16)[name = tensor("out_7_cast_fp16")]; tensor var_461_pad_type_0 = const()[name = tensor("op_461_pad_type_0"), val = tensor("valid")]; tensor var_461_strides_0 = const()[name = tensor("op_461_strides_0"), val = tensor([1])]; tensor var_461_pad_0 = const()[name = tensor("op_461_pad_0"), val = tensor([0, 0])]; tensor var_461_dilations_0 = const()[name = tensor("op_461_dilations_0"), val = tensor([1])]; tensor var_461_groups_0 = const()[name = tensor("op_461_groups_0"), val = tensor(1)]; tensor weight_45_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(29089408))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30205632))), name = tensor("weight_45_to_fp16_palettized"), shape = tensor([1024, 1090, 1])]; tensor var_461_cast_fp16 = conv(dilations = var_461_dilations_0, groups = var_461_groups_0, pad = var_461_pad_0, pad_type = var_461_pad_type_0, strides = var_461_strides_0, weight = weight_45_to_fp16_palettized, x = input_53_cast_fp16)[name = tensor("op_461_cast_fp16")]; tensor var_462_cast_fp16 = add(x = out_7_cast_fp16, y = var_461_cast_fp16)[name = tensor("op_462_cast_fp16")]; tensor var_463_to_fp16 = const()[name = tensor("op_463_to_fp16"), val = tensor(0x1.6ap-1)]; tensor x_7_cast_fp16 = mul(x = var_462_cast_fp16, y = var_463_to_fp16)[name = tensor("x_7_cast_fp16")]; tensor var_466 = const()[name = tensor("op_466"), val = tensor(1)]; tensor input_69_interleave_0 = const()[name = tensor("input_69_interleave_0"), val = tensor(false)]; tensor input_69_cast_fp16 = concat(axis = var_466, interleave = input_69_interleave_0, values = (x_7_cast_fp16, asr_res_1_cast_fp16, F0_cast_fp16, N_feat_cast_fp16))[name = tensor("input_69_cast_fp16")]; tensor var_472 = const()[name = tensor("op_472"), val = tensor(0x1.99999ap-3)]; tensor decode_3_norm1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30206208))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30485312))), name = tensor("decode_3_norm1_fc_weight_to_fp16_palettized"), shape = tensor([2180, 128])]; tensor decode_3_norm1_fc_bias_to_fp16 = const()[name = tensor("decode_3_norm1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30485888)))]; tensor linear_8_cast_fp16 = linear(bias = decode_3_norm1_fc_bias_to_fp16, weight = decode_3_norm1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_8_cast_fp16")]; tensor var_508 = const()[name = tensor("op_508"), val = tensor([1, 2180, 1])]; tensor h_35_cast_fp16 = reshape(shape = var_508, x = linear_8_cast_fp16)[name = tensor("h_35_cast_fp16")]; tensor var_510_split_sizes_0 = const()[name = tensor("op_510_split_sizes_0"), val = tensor([1090, 1090])]; tensor var_510_axis_0 = const()[name = tensor("op_510_axis_0"), val = tensor(1)]; tensor var_510_cast_fp16_0, tensor var_510_cast_fp16_1 = split(axis = var_510_axis_0, split_sizes = var_510_split_sizes_0, x = h_35_cast_fp16)[name = tensor("op_510_cast_fp16")]; tensor var_512_promoted_to_fp16 = const()[name = tensor("op_512_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_513_cast_fp16 = add(x = var_510_cast_fp16_0, y = var_512_promoted_to_fp16)[name = tensor("op_513_cast_fp16")]; tensor var_476_to_fp16 = const()[name = tensor("op_476_to_fp16"), val = tensor(0x1.5p-17)]; tensor var_516_cast_fp16 = instance_norm(beta = decode_0_norm1_norm_bias_to_fp16, epsilon = var_476_to_fp16, gamma = decode_0_norm1_norm_weight_to_fp16, x = input_69_cast_fp16)[name = tensor("op_516_cast_fp16")]; tensor var_517_cast_fp16 = mul(x = var_513_cast_fp16, y = var_516_cast_fp16)[name = tensor("op_517_cast_fp16")]; tensor input_71_cast_fp16 = add(x = var_517_cast_fp16, y = var_510_cast_fp16_1)[name = tensor("input_71_cast_fp16")]; tensor input_73_cast_fp16 = leaky_relu(alpha = var_472, x = input_71_cast_fp16)[name = tensor("input_73_cast_fp16")]; tensor conv_transpose_0_pad_type_0 = const()[name = tensor("conv_transpose_0_pad_type_0"), val = tensor("custom")]; tensor conv_transpose_0_pad_0 = const()[name = tensor("conv_transpose_0_pad_0"), val = tensor([0, 0])]; tensor conv_transpose_0_strides_0 = const()[name = tensor("conv_transpose_0_strides_0"), val = tensor([2])]; tensor conv_transpose_0_groups_0 = const()[name = tensor("conv_transpose_0_groups_0"), val = tensor(1090)]; tensor conv_transpose_0_dilations_0 = const()[name = tensor("conv_transpose_0_dilations_0"), val = tensor([1])]; tensor op_520_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30490368))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30493760))), name = tensor("op_520_to_fp16_palettized"), shape = tensor([1090, 1, 3])]; tensor decode_3_pool_bias_to_fp16 = const()[name = tensor("decode_3_pool_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30494336)))]; tensor conv_transpose_0_cast_fp16 = conv_transpose(bias = decode_3_pool_bias_to_fp16, dilations = conv_transpose_0_dilations_0, groups = conv_transpose_0_groups_0, pad = conv_transpose_0_pad_0, pad_type = conv_transpose_0_pad_type_0, strides = conv_transpose_0_strides_0, weight = op_520_to_fp16_palettized, x = input_73_cast_fp16)[name = tensor("conv_transpose_0_cast_fp16")]; tensor input_75_begin_0 = const()[name = tensor("input_75_begin_0"), val = tensor([0, 0, 1])]; tensor input_75_end_0 = const()[name = tensor("input_75_end_0"), val = tensor([0, 0, 0])]; tensor input_75_begin_mask_0 = const()[name = tensor("input_75_begin_mask_0"), val = tensor([true, true, false])]; tensor input_75_end_mask_0 = const()[name = tensor("input_75_end_mask_0"), val = tensor([true, true, true])]; tensor input_75_cast_fp16 = slice_by_index(begin = input_75_begin_0, begin_mask = input_75_begin_mask_0, end = input_75_end_0, end_mask = input_75_end_mask_0, x = conv_transpose_0_cast_fp16)[name = tensor("input_75_cast_fp16")]; tensor input_79_pad_type_0 = const()[name = tensor("input_79_pad_type_0"), val = tensor("custom")]; tensor input_79_pad_0 = const()[name = tensor("input_79_pad_0"), val = tensor([1, 1])]; tensor input_79_strides_0 = const()[name = tensor("input_79_strides_0"), val = tensor([1])]; tensor input_79_dilations_0 = const()[name = tensor("input_79_dilations_0"), val = tensor([1])]; tensor input_79_groups_0 = const()[name = tensor("input_79_groups_0"), val = tensor(1)]; tensor weight_49_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30496640))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32170944))), name = tensor("weight_49_to_fp16_palettized"), shape = tensor([512, 1090, 3])]; tensor decode_3_conv1_bias_to_fp16 = const()[name = tensor("decode_3_conv1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32171520)))]; tensor input_79_cast_fp16 = conv(bias = decode_3_conv1_bias_to_fp16, dilations = input_79_dilations_0, groups = input_79_groups_0, pad = input_79_pad_0, pad_type = input_79_pad_type_0, strides = input_79_strides_0, weight = weight_49_to_fp16_palettized, x = input_75_cast_fp16)[name = tensor("input_79_cast_fp16")]; tensor decode_3_norm2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32172608))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32303744))), name = tensor("decode_3_norm2_fc_weight_to_fp16_palettized"), shape = tensor([1024, 128])]; tensor decode_3_norm2_fc_bias_to_fp16 = const()[name = tensor("decode_3_norm2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32304320)))]; tensor linear_9_cast_fp16 = linear(bias = decode_3_norm2_fc_bias_to_fp16, weight = decode_3_norm2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_9_cast_fp16")]; tensor var_542 = const()[name = tensor("op_542"), val = tensor([1, 1024, 1])]; tensor h_39_cast_fp16 = reshape(shape = var_542, x = linear_9_cast_fp16)[name = tensor("h_39_cast_fp16")]; tensor var_544_split_sizes_0 = const()[name = tensor("op_544_split_sizes_0"), val = tensor([512, 512])]; tensor var_544_axis_0 = const()[name = tensor("op_544_axis_0"), val = tensor(1)]; tensor var_544_cast_fp16_0, tensor var_544_cast_fp16_1 = split(axis = var_544_axis_0, split_sizes = var_544_split_sizes_0, x = h_39_cast_fp16)[name = tensor("op_544_cast_fp16")]; tensor var_546_promoted_to_fp16 = const()[name = tensor("op_546_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_547_cast_fp16 = add(x = var_544_cast_fp16_0, y = var_546_promoted_to_fp16)[name = tensor("op_547_cast_fp16")]; tensor decode_3_norm2_norm_weight_to_fp16 = const()[name = tensor("decode_3_norm2_norm_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32306432)))]; tensor decode_3_norm2_norm_bias_to_fp16 = const()[name = tensor("decode_3_norm2_norm_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32307520)))]; tensor var_550_cast_fp16 = instance_norm(beta = decode_3_norm2_norm_bias_to_fp16, epsilon = var_476_to_fp16, gamma = decode_3_norm2_norm_weight_to_fp16, x = input_79_cast_fp16)[name = tensor("op_550_cast_fp16")]; tensor var_551_cast_fp16 = mul(x = var_547_cast_fp16, y = var_550_cast_fp16)[name = tensor("op_551_cast_fp16")]; tensor input_81_cast_fp16 = add(x = var_551_cast_fp16, y = var_544_cast_fp16_1)[name = tensor("input_81_cast_fp16")]; tensor input_83_cast_fp16 = leaky_relu(alpha = var_472, x = input_81_cast_fp16)[name = tensor("input_83_cast_fp16")]; tensor out_pad_type_0 = const()[name = tensor("out_pad_type_0"), val = tensor("custom")]; tensor out_pad_0 = const()[name = tensor("out_pad_0"), val = tensor([1, 1])]; tensor out_strides_0 = const()[name = tensor("out_strides_0"), val = tensor([1])]; tensor out_dilations_0 = const()[name = tensor("out_dilations_0"), val = tensor([1])]; tensor out_groups_0 = const()[name = tensor("out_groups_0"), val = tensor(1)]; tensor weight_53_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32308608))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(33095104))), name = tensor("weight_53_to_fp16_palettized"), shape = tensor([512, 512, 3])]; tensor decode_3_conv2_bias_to_fp16 = const()[name = tensor("decode_3_conv2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(33095680)))]; tensor out_cast_fp16 = conv(bias = decode_3_conv2_bias_to_fp16, dilations = out_dilations_0, groups = out_groups_0, pad = out_pad_0, pad_type = out_pad_type_0, strides = out_strides_0, weight = weight_53_to_fp16_palettized, x = input_83_cast_fp16)[name = tensor("out_cast_fp16")]; tensor expand_dims_0_axes_0 = const()[name = tensor("expand_dims_0_axes_0"), val = tensor([3])]; tensor expand_dims_0_cast_fp16 = expand_dims(axes = expand_dims_0_axes_0, x = input_69_cast_fp16)[name = tensor("expand_dims_0_cast_fp16")]; tensor upsample_nearest_neighbor_0_scale_factor_height_0 = const()[name = tensor("upsample_nearest_neighbor_0_scale_factor_height_0"), val = tensor(2)]; tensor upsample_nearest_neighbor_0_scale_factor_width_0 = const()[name = tensor("upsample_nearest_neighbor_0_scale_factor_width_0"), val = tensor(1)]; tensor upsample_nearest_neighbor_0_cast_fp16 = upsample_nearest_neighbor(scale_factor_height = upsample_nearest_neighbor_0_scale_factor_height_0, scale_factor_width = upsample_nearest_neighbor_0_scale_factor_width_0, x = expand_dims_0_cast_fp16)[name = tensor("upsample_nearest_neighbor_0_cast_fp16")]; tensor input_87_axes_0 = const()[name = tensor("input_87_axes_0"), val = tensor([3])]; tensor input_87_cast_fp16 = squeeze(axes = input_87_axes_0, x = upsample_nearest_neighbor_0_cast_fp16)[name = tensor("input_87_cast_fp16")]; tensor var_569_pad_type_0 = const()[name = tensor("op_569_pad_type_0"), val = tensor("valid")]; tensor var_569_strides_0 = const()[name = tensor("op_569_strides_0"), val = tensor([1])]; tensor var_569_pad_0 = const()[name = tensor("op_569_pad_0"), val = tensor([0, 0])]; tensor var_569_dilations_0 = const()[name = tensor("op_569_dilations_0"), val = tensor([1])]; tensor var_569_groups_0 = const()[name = tensor("op_569_groups_0"), val = tensor(1)]; tensor weight_55_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(33096768))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(33654912))), name = tensor("weight_55_to_fp16_palettized"), shape = tensor([512, 1090, 1])]; tensor var_569_cast_fp16 = conv(dilations = var_569_dilations_0, groups = var_569_groups_0, pad = var_569_pad_0, pad_type = var_569_pad_type_0, strides = var_569_strides_0, weight = weight_55_to_fp16_palettized, x = input_87_cast_fp16)[name = tensor("op_569_cast_fp16")]; tensor var_570_cast_fp16 = add(x = out_cast_fp16, y = var_569_cast_fp16)[name = tensor("op_570_cast_fp16")]; tensor var_571_to_fp16 = const()[name = tensor("op_571_to_fp16"), val = tensor(0x1.6ap-1)]; tensor input_89_cast_fp16 = mul(x = var_570_cast_fp16, y = var_571_to_fp16)[name = tensor("input_89_cast_fp16")]; tensor var_573 = const()[name = tensor("op_573"), val = tensor(0x1.99999ap-4)]; tensor input_91_cast_fp16 = leaky_relu(alpha = var_573, x = input_89_cast_fp16)[name = tensor("input_91_cast_fp16")]; tensor x_9_pad_type_0 = const()[name = tensor("x_9_pad_type_0"), val = tensor("custom")]; tensor x_9_pad_0 = const()[name = tensor("x_9_pad_0"), val = tensor([5, 5])]; tensor x_9_strides_0 = const()[name = tensor("x_9_strides_0"), val = tensor([10])]; tensor x_9_dilations_0 = const()[name = tensor("x_9_dilations_0"), val = tensor([1])]; tensor x_9_groups_0 = const()[name = tensor("x_9_groups_0"), val = tensor(1)]; tensor op_576_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(33655488))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36276992))), name = tensor("op_576_to_fp16_palettized"), shape = tensor([512, 256, 20])]; tensor ups_0_bias_to_fp16 = const()[name = tensor("ups_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36277568)))]; tensor x_9_cast_fp16 = conv_transpose(bias = ups_0_bias_to_fp16, dilations = x_9_dilations_0, groups = x_9_groups_0, pad = x_9_pad_0, pad_type = x_9_pad_type_0, strides = x_9_strides_0, weight = op_576_to_fp16_palettized, x = input_91_cast_fp16)[name = tensor("x_9_cast_fp16")]; tensor input_93_cast_fp16 = add(x = x_9_cast_fp16, y = x_source_0)[name = tensor("input_93_cast_fp16")]; tensor resblocks_0_adain1_0_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36278144))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36343744))), name = tensor("resblocks_0_adain1_0_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_0_adain1_0_fc_bias_to_fp16 = const()[name = tensor("resblocks_0_adain1_0_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36344320)))]; tensor linear_10_cast_fp16 = linear(bias = resblocks_0_adain1_0_fc_bias_to_fp16, weight = resblocks_0_adain1_0_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_10_cast_fp16")]; tensor var_679 = const()[name = tensor("op_679"), val = tensor([1, 512, 1])]; tensor h_43_cast_fp16 = reshape(shape = var_679, x = linear_10_cast_fp16)[name = tensor("h_43_cast_fp16")]; tensor var_681_split_sizes_0 = const()[name = tensor("op_681_split_sizes_0"), val = tensor([256, 256])]; tensor var_681_axis_0 = const()[name = tensor("op_681_axis_0"), val = tensor(1)]; tensor var_681_cast_fp16_0, tensor var_681_cast_fp16_1 = split(axis = var_681_axis_0, split_sizes = var_681_split_sizes_0, x = h_43_cast_fp16)[name = tensor("op_681_cast_fp16")]; tensor var_683_promoted_to_fp16 = const()[name = tensor("op_683_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_684_cast_fp16 = add(x = var_681_cast_fp16_0, y = var_683_promoted_to_fp16)[name = tensor("op_684_cast_fp16")]; tensor resblocks_0_adain1_0_norm_weight_to_fp16 = const()[name = tensor("resblocks_0_adain1_0_norm_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36345408)))]; tensor resblocks_0_adain1_0_norm_bias_to_fp16 = const()[name = tensor("resblocks_0_adain1_0_norm_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36345984)))]; tensor var_596_to_fp16 = const()[name = tensor("op_596_to_fp16"), val = tensor(0x1.5p-17)]; tensor var_687_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_596_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_93_cast_fp16)[name = tensor("op_687_cast_fp16")]; tensor var_688_cast_fp16 = mul(x = var_684_cast_fp16, y = var_687_cast_fp16)[name = tensor("op_688_cast_fp16")]; tensor xt_1_cast_fp16 = add(x = var_688_cast_fp16, y = var_681_cast_fp16_1)[name = tensor("xt_1_cast_fp16")]; tensor var_691_to_fp16 = const()[name = tensor("op_691_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36346560)))]; tensor var_692_cast_fp16 = mul(x = xt_1_cast_fp16, y = var_691_to_fp16)[name = tensor("op_692_cast_fp16")]; tensor cv_1_cast_fp16 = cos(x = var_692_cast_fp16)[name = tensor("cv_1_cast_fp16")]; tensor var_694_to_fp16 = const()[name = tensor("op_694_to_fp16"), val = tensor(-0x1p-1)]; tensor var_695_cast_fp16 = mul(x = cv_1_cast_fp16, y = var_694_to_fp16)[name = tensor("op_695_cast_fp16")]; tensor var_696_to_fp16 = const()[name = tensor("op_696_to_fp16"), val = tensor(0x1p-1)]; tensor var_697_cast_fp16 = add(x = var_695_cast_fp16, y = var_696_to_fp16)[name = tensor("op_697_cast_fp16")]; tensor var_698_to_fp16 = const()[name = tensor("op_698_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36347136)))]; tensor var_701_cast_fp16 = mul(x = var_697_cast_fp16, y = var_698_to_fp16)[name = tensor("op_701_cast_fp16")]; tensor input_95_cast_fp16 = add(x = xt_1_cast_fp16, y = var_701_cast_fp16)[name = tensor("input_95_cast_fp16")]; tensor input_97_pad_type_0 = const()[name = tensor("input_97_pad_type_0"), val = tensor("custom")]; tensor input_97_pad_0 = const()[name = tensor("input_97_pad_0"), val = tensor([1, 1])]; tensor input_97_strides_0 = const()[name = tensor("input_97_strides_0"), val = tensor([1])]; tensor input_97_dilations_0 = const()[name = tensor("input_97_dilations_0"), val = tensor([1])]; tensor input_97_groups_0 = const()[name = tensor("input_97_groups_0"), val = tensor(1)]; tensor weight_59_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36347712))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36544384))), name = tensor("weight_59_to_fp16_palettized"), shape = tensor([256, 256, 3])]; tensor resblocks_0_convs1_0_bias_to_fp16 = const()[name = tensor("resblocks_0_convs1_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36544960)))]; tensor input_97_cast_fp16 = conv(bias = resblocks_0_convs1_0_bias_to_fp16, dilations = input_97_dilations_0, groups = input_97_groups_0, pad = input_97_pad_0, pad_type = input_97_pad_type_0, strides = input_97_strides_0, weight = weight_59_to_fp16_palettized, x = input_95_cast_fp16)[name = tensor("input_97_cast_fp16")]; tensor resblocks_0_adain2_0_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36545536))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36611136))), name = tensor("resblocks_0_adain2_0_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_0_adain2_0_fc_bias_to_fp16 = const()[name = tensor("resblocks_0_adain2_0_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36611712)))]; tensor linear_11_cast_fp16 = linear(bias = resblocks_0_adain2_0_fc_bias_to_fp16, weight = resblocks_0_adain2_0_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_11_cast_fp16")]; tensor var_717 = const()[name = tensor("op_717"), val = tensor([1, 512, 1])]; tensor h_47_cast_fp16 = reshape(shape = var_717, x = linear_11_cast_fp16)[name = tensor("h_47_cast_fp16")]; tensor var_719_split_sizes_0 = const()[name = tensor("op_719_split_sizes_0"), val = tensor([256, 256])]; tensor var_719_axis_0 = const()[name = tensor("op_719_axis_0"), val = tensor(1)]; tensor var_719_cast_fp16_0, tensor var_719_cast_fp16_1 = split(axis = var_719_axis_0, split_sizes = var_719_split_sizes_0, x = h_47_cast_fp16)[name = tensor("op_719_cast_fp16")]; tensor var_721_promoted_to_fp16 = const()[name = tensor("op_721_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_722_cast_fp16 = add(x = var_719_cast_fp16_0, y = var_721_promoted_to_fp16)[name = tensor("op_722_cast_fp16")]; tensor var_725_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_596_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_97_cast_fp16)[name = tensor("op_725_cast_fp16")]; tensor var_726_cast_fp16 = mul(x = var_722_cast_fp16, y = var_725_cast_fp16)[name = tensor("op_726_cast_fp16")]; tensor xt_3_cast_fp16 = add(x = var_726_cast_fp16, y = var_719_cast_fp16_1)[name = tensor("xt_3_cast_fp16")]; tensor var_729_to_fp16 = const()[name = tensor("op_729_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36612800)))]; tensor var_730_cast_fp16 = mul(x = xt_3_cast_fp16, y = var_729_to_fp16)[name = tensor("op_730_cast_fp16")]; tensor cv_3_cast_fp16 = cos(x = var_730_cast_fp16)[name = tensor("cv_3_cast_fp16")]; tensor var_732_to_fp16 = const()[name = tensor("op_732_to_fp16"), val = tensor(-0x1p-1)]; tensor var_733_cast_fp16 = mul(x = cv_3_cast_fp16, y = var_732_to_fp16)[name = tensor("op_733_cast_fp16")]; tensor var_734_to_fp16 = const()[name = tensor("op_734_to_fp16"), val = tensor(0x1p-1)]; tensor var_735_cast_fp16 = add(x = var_733_cast_fp16, y = var_734_to_fp16)[name = tensor("op_735_cast_fp16")]; tensor var_736_to_fp16 = const()[name = tensor("op_736_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36613376)))]; tensor var_739_cast_fp16 = mul(x = var_735_cast_fp16, y = var_736_to_fp16)[name = tensor("op_739_cast_fp16")]; tensor input_99_cast_fp16 = add(x = xt_3_cast_fp16, y = var_739_cast_fp16)[name = tensor("input_99_cast_fp16")]; tensor xt_5_pad_type_0 = const()[name = tensor("xt_5_pad_type_0"), val = tensor("custom")]; tensor xt_5_pad_0 = const()[name = tensor("xt_5_pad_0"), val = tensor([1, 1])]; tensor xt_5_strides_0 = const()[name = tensor("xt_5_strides_0"), val = tensor([1])]; tensor xt_5_dilations_0 = const()[name = tensor("xt_5_dilations_0"), val = tensor([1])]; tensor xt_5_groups_0 = const()[name = tensor("xt_5_groups_0"), val = tensor(1)]; tensor weight_63_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36613952))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36810624))), name = tensor("weight_63_to_fp16_palettized"), shape = tensor([256, 256, 3])]; tensor resblocks_0_convs2_0_bias_to_fp16 = const()[name = tensor("resblocks_0_convs2_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36811200)))]; tensor xt_5_cast_fp16 = conv(bias = resblocks_0_convs2_0_bias_to_fp16, dilations = xt_5_dilations_0, groups = xt_5_groups_0, pad = xt_5_pad_0, pad_type = xt_5_pad_type_0, strides = xt_5_strides_0, weight = weight_63_to_fp16_palettized, x = input_99_cast_fp16)[name = tensor("xt_5_cast_fp16")]; tensor input_101_cast_fp16 = add(x = xt_5_cast_fp16, y = input_93_cast_fp16)[name = tensor("input_101_cast_fp16")]; tensor resblocks_0_adain1_1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36811776))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36877376))), name = tensor("resblocks_0_adain1_1_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_0_adain1_1_fc_bias_to_fp16 = const()[name = tensor("resblocks_0_adain1_1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36877952)))]; tensor linear_12_cast_fp16 = linear(bias = resblocks_0_adain1_1_fc_bias_to_fp16, weight = resblocks_0_adain1_1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_12_cast_fp16")]; tensor var_756 = const()[name = tensor("op_756"), val = tensor([1, 512, 1])]; tensor h_51_cast_fp16 = reshape(shape = var_756, x = linear_12_cast_fp16)[name = tensor("h_51_cast_fp16")]; tensor var_758_split_sizes_0 = const()[name = tensor("op_758_split_sizes_0"), val = tensor([256, 256])]; tensor var_758_axis_0 = const()[name = tensor("op_758_axis_0"), val = tensor(1)]; tensor var_758_cast_fp16_0, tensor var_758_cast_fp16_1 = split(axis = var_758_axis_0, split_sizes = var_758_split_sizes_0, x = h_51_cast_fp16)[name = tensor("op_758_cast_fp16")]; tensor var_760_promoted_to_fp16 = const()[name = tensor("op_760_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_761_cast_fp16 = add(x = var_758_cast_fp16_0, y = var_760_promoted_to_fp16)[name = tensor("op_761_cast_fp16")]; tensor var_764_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_596_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_101_cast_fp16)[name = tensor("op_764_cast_fp16")]; tensor var_765_cast_fp16 = mul(x = var_761_cast_fp16, y = var_764_cast_fp16)[name = tensor("op_765_cast_fp16")]; tensor xt_7_cast_fp16 = add(x = var_765_cast_fp16, y = var_758_cast_fp16_1)[name = tensor("xt_7_cast_fp16")]; tensor var_768_to_fp16 = const()[name = tensor("op_768_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36879040)))]; tensor var_769_cast_fp16 = mul(x = xt_7_cast_fp16, y = var_768_to_fp16)[name = tensor("op_769_cast_fp16")]; tensor cv_5_cast_fp16 = cos(x = var_769_cast_fp16)[name = tensor("cv_5_cast_fp16")]; tensor var_771_to_fp16 = const()[name = tensor("op_771_to_fp16"), val = tensor(-0x1p-1)]; tensor var_772_cast_fp16 = mul(x = cv_5_cast_fp16, y = var_771_to_fp16)[name = tensor("op_772_cast_fp16")]; tensor var_773_to_fp16 = const()[name = tensor("op_773_to_fp16"), val = tensor(0x1p-1)]; tensor var_774_cast_fp16 = add(x = var_772_cast_fp16, y = var_773_to_fp16)[name = tensor("op_774_cast_fp16")]; tensor var_775_to_fp16 = const()[name = tensor("op_775_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36879616)))]; tensor var_778_cast_fp16 = mul(x = var_774_cast_fp16, y = var_775_to_fp16)[name = tensor("op_778_cast_fp16")]; tensor input_103_cast_fp16 = add(x = xt_7_cast_fp16, y = var_778_cast_fp16)[name = tensor("input_103_cast_fp16")]; tensor input_105_pad_type_0 = const()[name = tensor("input_105_pad_type_0"), val = tensor("custom")]; tensor input_105_pad_0 = const()[name = tensor("input_105_pad_0"), val = tensor([3, 3])]; tensor input_105_dilations_0 = const()[name = tensor("input_105_dilations_0"), val = tensor([3])]; tensor input_105_strides_0 = const()[name = tensor("input_105_strides_0"), val = tensor([1])]; tensor input_105_groups_0 = const()[name = tensor("input_105_groups_0"), val = tensor(1)]; tensor weight_67_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36880192))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37076864))), name = tensor("weight_67_to_fp16_palettized"), shape = tensor([256, 256, 3])]; tensor resblocks_0_convs1_1_bias_to_fp16 = const()[name = tensor("resblocks_0_convs1_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37077440)))]; tensor input_105_cast_fp16 = conv(bias = resblocks_0_convs1_1_bias_to_fp16, dilations = input_105_dilations_0, groups = input_105_groups_0, pad = input_105_pad_0, pad_type = input_105_pad_type_0, strides = input_105_strides_0, weight = weight_67_to_fp16_palettized, x = input_103_cast_fp16)[name = tensor("input_105_cast_fp16")]; tensor resblocks_0_adain2_1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37078016))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37143616))), name = tensor("resblocks_0_adain2_1_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_0_adain2_1_fc_bias_to_fp16 = const()[name = tensor("resblocks_0_adain2_1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37144192)))]; tensor linear_13_cast_fp16 = linear(bias = resblocks_0_adain2_1_fc_bias_to_fp16, weight = resblocks_0_adain2_1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_13_cast_fp16")]; tensor var_794 = const()[name = tensor("op_794"), val = tensor([1, 512, 1])]; tensor h_55_cast_fp16 = reshape(shape = var_794, x = linear_13_cast_fp16)[name = tensor("h_55_cast_fp16")]; tensor var_796_split_sizes_0 = const()[name = tensor("op_796_split_sizes_0"), val = tensor([256, 256])]; tensor var_796_axis_0 = const()[name = tensor("op_796_axis_0"), val = tensor(1)]; tensor var_796_cast_fp16_0, tensor var_796_cast_fp16_1 = split(axis = var_796_axis_0, split_sizes = var_796_split_sizes_0, x = h_55_cast_fp16)[name = tensor("op_796_cast_fp16")]; tensor var_798_promoted_to_fp16 = const()[name = tensor("op_798_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_799_cast_fp16 = add(x = var_796_cast_fp16_0, y = var_798_promoted_to_fp16)[name = tensor("op_799_cast_fp16")]; tensor var_802_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_596_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_105_cast_fp16)[name = tensor("op_802_cast_fp16")]; tensor var_803_cast_fp16 = mul(x = var_799_cast_fp16, y = var_802_cast_fp16)[name = tensor("op_803_cast_fp16")]; tensor xt_9_cast_fp16 = add(x = var_803_cast_fp16, y = var_796_cast_fp16_1)[name = tensor("xt_9_cast_fp16")]; tensor var_806_to_fp16 = const()[name = tensor("op_806_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37145280)))]; tensor var_807_cast_fp16 = mul(x = xt_9_cast_fp16, y = var_806_to_fp16)[name = tensor("op_807_cast_fp16")]; tensor cv_7_cast_fp16 = cos(x = var_807_cast_fp16)[name = tensor("cv_7_cast_fp16")]; tensor var_809_to_fp16 = const()[name = tensor("op_809_to_fp16"), val = tensor(-0x1p-1)]; tensor var_810_cast_fp16 = mul(x = cv_7_cast_fp16, y = var_809_to_fp16)[name = tensor("op_810_cast_fp16")]; tensor var_811_to_fp16 = const()[name = tensor("op_811_to_fp16"), val = tensor(0x1p-1)]; tensor var_812_cast_fp16 = add(x = var_810_cast_fp16, y = var_811_to_fp16)[name = tensor("op_812_cast_fp16")]; tensor var_813_to_fp16 = const()[name = tensor("op_813_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37145856)))]; tensor var_816_cast_fp16 = mul(x = var_812_cast_fp16, y = var_813_to_fp16)[name = tensor("op_816_cast_fp16")]; tensor input_107_cast_fp16 = add(x = xt_9_cast_fp16, y = var_816_cast_fp16)[name = tensor("input_107_cast_fp16")]; tensor xt_11_pad_type_0 = const()[name = tensor("xt_11_pad_type_0"), val = tensor("custom")]; tensor xt_11_pad_0 = const()[name = tensor("xt_11_pad_0"), val = tensor([1, 1])]; tensor xt_11_strides_0 = const()[name = tensor("xt_11_strides_0"), val = tensor([1])]; tensor xt_11_dilations_0 = const()[name = tensor("xt_11_dilations_0"), val = tensor([1])]; tensor xt_11_groups_0 = const()[name = tensor("xt_11_groups_0"), val = tensor(1)]; tensor weight_71_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37146432))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37343104))), name = tensor("weight_71_to_fp16_palettized"), shape = tensor([256, 256, 3])]; tensor resblocks_0_convs2_1_bias_to_fp16 = const()[name = tensor("resblocks_0_convs2_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37343680)))]; tensor xt_11_cast_fp16 = conv(bias = resblocks_0_convs2_1_bias_to_fp16, dilations = xt_11_dilations_0, groups = xt_11_groups_0, pad = xt_11_pad_0, pad_type = xt_11_pad_type_0, strides = xt_11_strides_0, weight = weight_71_to_fp16_palettized, x = input_107_cast_fp16)[name = tensor("xt_11_cast_fp16")]; tensor input_109_cast_fp16 = add(x = xt_11_cast_fp16, y = input_101_cast_fp16)[name = tensor("input_109_cast_fp16")]; tensor resblocks_0_adain1_2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37344256))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37409856))), name = tensor("resblocks_0_adain1_2_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_0_adain1_2_fc_bias_to_fp16 = const()[name = tensor("resblocks_0_adain1_2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37410432)))]; tensor linear_14_cast_fp16 = linear(bias = resblocks_0_adain1_2_fc_bias_to_fp16, weight = resblocks_0_adain1_2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_14_cast_fp16")]; tensor var_833 = const()[name = tensor("op_833"), val = tensor([1, 512, 1])]; tensor h_59_cast_fp16 = reshape(shape = var_833, x = linear_14_cast_fp16)[name = tensor("h_59_cast_fp16")]; tensor var_835_split_sizes_0 = const()[name = tensor("op_835_split_sizes_0"), val = tensor([256, 256])]; tensor var_835_axis_0 = const()[name = tensor("op_835_axis_0"), val = tensor(1)]; tensor var_835_cast_fp16_0, tensor var_835_cast_fp16_1 = split(axis = var_835_axis_0, split_sizes = var_835_split_sizes_0, x = h_59_cast_fp16)[name = tensor("op_835_cast_fp16")]; tensor var_837_promoted_to_fp16 = const()[name = tensor("op_837_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_838_cast_fp16 = add(x = var_835_cast_fp16_0, y = var_837_promoted_to_fp16)[name = tensor("op_838_cast_fp16")]; tensor var_841_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_596_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_109_cast_fp16)[name = tensor("op_841_cast_fp16")]; tensor var_842_cast_fp16 = mul(x = var_838_cast_fp16, y = var_841_cast_fp16)[name = tensor("op_842_cast_fp16")]; tensor xt_13_cast_fp16 = add(x = var_842_cast_fp16, y = var_835_cast_fp16_1)[name = tensor("xt_13_cast_fp16")]; tensor var_845_to_fp16 = const()[name = tensor("op_845_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37411520)))]; tensor var_846_cast_fp16 = mul(x = xt_13_cast_fp16, y = var_845_to_fp16)[name = tensor("op_846_cast_fp16")]; tensor cv_9_cast_fp16 = cos(x = var_846_cast_fp16)[name = tensor("cv_9_cast_fp16")]; tensor var_848_to_fp16 = const()[name = tensor("op_848_to_fp16"), val = tensor(-0x1p-1)]; tensor var_849_cast_fp16 = mul(x = cv_9_cast_fp16, y = var_848_to_fp16)[name = tensor("op_849_cast_fp16")]; tensor var_850_to_fp16 = const()[name = tensor("op_850_to_fp16"), val = tensor(0x1p-1)]; tensor var_851_cast_fp16 = add(x = var_849_cast_fp16, y = var_850_to_fp16)[name = tensor("op_851_cast_fp16")]; tensor var_852_to_fp16 = const()[name = tensor("op_852_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37412096)))]; tensor var_855_cast_fp16 = mul(x = var_851_cast_fp16, y = var_852_to_fp16)[name = tensor("op_855_cast_fp16")]; tensor input_111_cast_fp16 = add(x = xt_13_cast_fp16, y = var_855_cast_fp16)[name = tensor("input_111_cast_fp16")]; tensor input_113_pad_type_0 = const()[name = tensor("input_113_pad_type_0"), val = tensor("custom")]; tensor input_113_pad_0 = const()[name = tensor("input_113_pad_0"), val = tensor([5, 5])]; tensor input_113_dilations_0 = const()[name = tensor("input_113_dilations_0"), val = tensor([5])]; tensor input_113_strides_0 = const()[name = tensor("input_113_strides_0"), val = tensor([1])]; tensor input_113_groups_0 = const()[name = tensor("input_113_groups_0"), val = tensor(1)]; tensor weight_75_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37412672))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37609344))), name = tensor("weight_75_to_fp16_palettized"), shape = tensor([256, 256, 3])]; tensor resblocks_0_convs1_2_bias_to_fp16 = const()[name = tensor("resblocks_0_convs1_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37609920)))]; tensor input_113_cast_fp16 = conv(bias = resblocks_0_convs1_2_bias_to_fp16, dilations = input_113_dilations_0, groups = input_113_groups_0, pad = input_113_pad_0, pad_type = input_113_pad_type_0, strides = input_113_strides_0, weight = weight_75_to_fp16_palettized, x = input_111_cast_fp16)[name = tensor("input_113_cast_fp16")]; tensor resblocks_0_adain2_2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37610496))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37676096))), name = tensor("resblocks_0_adain2_2_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_0_adain2_2_fc_bias_to_fp16 = const()[name = tensor("resblocks_0_adain2_2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37676672)))]; tensor linear_15_cast_fp16 = linear(bias = resblocks_0_adain2_2_fc_bias_to_fp16, weight = resblocks_0_adain2_2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_15_cast_fp16")]; tensor var_871 = const()[name = tensor("op_871"), val = tensor([1, 512, 1])]; tensor h_63_cast_fp16 = reshape(shape = var_871, x = linear_15_cast_fp16)[name = tensor("h_63_cast_fp16")]; tensor var_873_split_sizes_0 = const()[name = tensor("op_873_split_sizes_0"), val = tensor([256, 256])]; tensor var_873_axis_0 = const()[name = tensor("op_873_axis_0"), val = tensor(1)]; tensor var_873_cast_fp16_0, tensor var_873_cast_fp16_1 = split(axis = var_873_axis_0, split_sizes = var_873_split_sizes_0, x = h_63_cast_fp16)[name = tensor("op_873_cast_fp16")]; tensor var_875_promoted_to_fp16 = const()[name = tensor("op_875_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_876_cast_fp16 = add(x = var_873_cast_fp16_0, y = var_875_promoted_to_fp16)[name = tensor("op_876_cast_fp16")]; tensor var_879_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_596_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_113_cast_fp16)[name = tensor("op_879_cast_fp16")]; tensor var_880_cast_fp16 = mul(x = var_876_cast_fp16, y = var_879_cast_fp16)[name = tensor("op_880_cast_fp16")]; tensor xt_15_cast_fp16 = add(x = var_880_cast_fp16, y = var_873_cast_fp16_1)[name = tensor("xt_15_cast_fp16")]; tensor var_883_to_fp16 = const()[name = tensor("op_883_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37677760)))]; tensor var_884_cast_fp16 = mul(x = xt_15_cast_fp16, y = var_883_to_fp16)[name = tensor("op_884_cast_fp16")]; tensor cv_11_cast_fp16 = cos(x = var_884_cast_fp16)[name = tensor("cv_11_cast_fp16")]; tensor var_886_to_fp16 = const()[name = tensor("op_886_to_fp16"), val = tensor(-0x1p-1)]; tensor var_887_cast_fp16 = mul(x = cv_11_cast_fp16, y = var_886_to_fp16)[name = tensor("op_887_cast_fp16")]; tensor var_888_to_fp16 = const()[name = tensor("op_888_to_fp16"), val = tensor(0x1p-1)]; tensor var_889_cast_fp16 = add(x = var_887_cast_fp16, y = var_888_to_fp16)[name = tensor("op_889_cast_fp16")]; tensor var_890_to_fp16 = const()[name = tensor("op_890_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37678336)))]; tensor var_893_cast_fp16 = mul(x = var_889_cast_fp16, y = var_890_to_fp16)[name = tensor("op_893_cast_fp16")]; tensor input_115_cast_fp16 = add(x = xt_15_cast_fp16, y = var_893_cast_fp16)[name = tensor("input_115_cast_fp16")]; tensor xt_17_pad_type_0 = const()[name = tensor("xt_17_pad_type_0"), val = tensor("custom")]; tensor xt_17_pad_0 = const()[name = tensor("xt_17_pad_0"), val = tensor([1, 1])]; tensor xt_17_strides_0 = const()[name = tensor("xt_17_strides_0"), val = tensor([1])]; tensor xt_17_dilations_0 = const()[name = tensor("xt_17_dilations_0"), val = tensor([1])]; tensor xt_17_groups_0 = const()[name = tensor("xt_17_groups_0"), val = tensor(1)]; tensor weight_79_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37678912))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37875584))), name = tensor("weight_79_to_fp16_palettized"), shape = tensor([256, 256, 3])]; tensor resblocks_0_convs2_2_bias_to_fp16 = const()[name = tensor("resblocks_0_convs2_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37876160)))]; tensor xt_17_cast_fp16 = conv(bias = resblocks_0_convs2_2_bias_to_fp16, dilations = xt_17_dilations_0, groups = xt_17_groups_0, pad = xt_17_pad_0, pad_type = xt_17_pad_type_0, strides = xt_17_strides_0, weight = weight_79_to_fp16_palettized, x = input_115_cast_fp16)[name = tensor("xt_17_cast_fp16")]; tensor xs_1_cast_fp16 = add(x = xt_17_cast_fp16, y = input_109_cast_fp16)[name = tensor("xs_1_cast_fp16")]; tensor resblocks_1_adain1_0_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37876736))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37942336))), name = tensor("resblocks_1_adain1_0_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_1_adain1_0_fc_bias_to_fp16 = const()[name = tensor("resblocks_1_adain1_0_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37942912)))]; tensor linear_16_cast_fp16 = linear(bias = resblocks_1_adain1_0_fc_bias_to_fp16, weight = resblocks_1_adain1_0_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_16_cast_fp16")]; tensor var_993 = const()[name = tensor("op_993"), val = tensor([1, 512, 1])]; tensor h_67_cast_fp16 = reshape(shape = var_993, x = linear_16_cast_fp16)[name = tensor("h_67_cast_fp16")]; tensor var_995_split_sizes_0 = const()[name = tensor("op_995_split_sizes_0"), val = tensor([256, 256])]; tensor var_995_axis_0 = const()[name = tensor("op_995_axis_0"), val = tensor(1)]; tensor var_995_cast_fp16_0, tensor var_995_cast_fp16_1 = split(axis = var_995_axis_0, split_sizes = var_995_split_sizes_0, x = h_67_cast_fp16)[name = tensor("op_995_cast_fp16")]; tensor var_997_promoted_to_fp16 = const()[name = tensor("op_997_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_998_cast_fp16 = add(x = var_995_cast_fp16_0, y = var_997_promoted_to_fp16)[name = tensor("op_998_cast_fp16")]; tensor var_1002_cast_fp16 = mul(x = var_998_cast_fp16, y = var_687_cast_fp16)[name = tensor("op_1002_cast_fp16")]; tensor xt_19_cast_fp16 = add(x = var_1002_cast_fp16, y = var_995_cast_fp16_1)[name = tensor("xt_19_cast_fp16")]; tensor var_1005_to_fp16 = const()[name = tensor("op_1005_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37944000)))]; tensor var_1006_cast_fp16 = mul(x = xt_19_cast_fp16, y = var_1005_to_fp16)[name = tensor("op_1006_cast_fp16")]; tensor cv_13_cast_fp16 = cos(x = var_1006_cast_fp16)[name = tensor("cv_13_cast_fp16")]; tensor var_1008_to_fp16 = const()[name = tensor("op_1008_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1009_cast_fp16 = mul(x = cv_13_cast_fp16, y = var_1008_to_fp16)[name = tensor("op_1009_cast_fp16")]; tensor var_1010_to_fp16 = const()[name = tensor("op_1010_to_fp16"), val = tensor(0x1p-1)]; tensor var_1011_cast_fp16 = add(x = var_1009_cast_fp16, y = var_1010_to_fp16)[name = tensor("op_1011_cast_fp16")]; tensor var_1012_to_fp16 = const()[name = tensor("op_1012_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37944576)))]; tensor var_1015_cast_fp16 = mul(x = var_1011_cast_fp16, y = var_1012_to_fp16)[name = tensor("op_1015_cast_fp16")]; tensor input_117_cast_fp16 = add(x = xt_19_cast_fp16, y = var_1015_cast_fp16)[name = tensor("input_117_cast_fp16")]; tensor input_119_pad_type_0 = const()[name = tensor("input_119_pad_type_0"), val = tensor("custom")]; tensor input_119_pad_0 = const()[name = tensor("input_119_pad_0"), val = tensor([3, 3])]; tensor input_119_strides_0 = const()[name = tensor("input_119_strides_0"), val = tensor([1])]; tensor input_119_dilations_0 = const()[name = tensor("input_119_dilations_0"), val = tensor([1])]; tensor input_119_groups_0 = const()[name = tensor("input_119_groups_0"), val = tensor(1)]; tensor weight_83_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(37945152))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(38403968))), name = tensor("weight_83_to_fp16_palettized"), shape = tensor([256, 256, 7])]; tensor resblocks_1_convs1_0_bias_to_fp16 = const()[name = tensor("resblocks_1_convs1_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(38404544)))]; tensor input_119_cast_fp16 = conv(bias = resblocks_1_convs1_0_bias_to_fp16, dilations = input_119_dilations_0, groups = input_119_groups_0, pad = input_119_pad_0, pad_type = input_119_pad_type_0, strides = input_119_strides_0, weight = weight_83_to_fp16_palettized, x = input_117_cast_fp16)[name = tensor("input_119_cast_fp16")]; tensor resblocks_1_adain2_0_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(38405120))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(38470720))), name = tensor("resblocks_1_adain2_0_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_1_adain2_0_fc_bias_to_fp16 = const()[name = tensor("resblocks_1_adain2_0_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(38471296)))]; tensor linear_17_cast_fp16 = linear(bias = resblocks_1_adain2_0_fc_bias_to_fp16, weight = resblocks_1_adain2_0_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_17_cast_fp16")]; tensor var_1031 = const()[name = tensor("op_1031"), val = tensor([1, 512, 1])]; tensor h_71_cast_fp16 = reshape(shape = var_1031, x = linear_17_cast_fp16)[name = tensor("h_71_cast_fp16")]; tensor var_1033_split_sizes_0 = const()[name = tensor("op_1033_split_sizes_0"), val = tensor([256, 256])]; tensor var_1033_axis_0 = const()[name = tensor("op_1033_axis_0"), val = tensor(1)]; tensor var_1033_cast_fp16_0, tensor var_1033_cast_fp16_1 = split(axis = var_1033_axis_0, split_sizes = var_1033_split_sizes_0, x = h_71_cast_fp16)[name = tensor("op_1033_cast_fp16")]; tensor var_1035_promoted_to_fp16 = const()[name = tensor("op_1035_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1036_cast_fp16 = add(x = var_1033_cast_fp16_0, y = var_1035_promoted_to_fp16)[name = tensor("op_1036_cast_fp16")]; tensor var_910_to_fp16 = const()[name = tensor("op_910_to_fp16"), val = tensor(0x1.5p-17)]; tensor var_1039_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_910_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_119_cast_fp16)[name = tensor("op_1039_cast_fp16")]; tensor var_1040_cast_fp16 = mul(x = var_1036_cast_fp16, y = var_1039_cast_fp16)[name = tensor("op_1040_cast_fp16")]; tensor xt_21_cast_fp16 = add(x = var_1040_cast_fp16, y = var_1033_cast_fp16_1)[name = tensor("xt_21_cast_fp16")]; tensor var_1043_to_fp16 = const()[name = tensor("op_1043_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(38472384)))]; tensor var_1044_cast_fp16 = mul(x = xt_21_cast_fp16, y = var_1043_to_fp16)[name = tensor("op_1044_cast_fp16")]; tensor cv_15_cast_fp16 = cos(x = var_1044_cast_fp16)[name = tensor("cv_15_cast_fp16")]; tensor var_1046_to_fp16 = const()[name = tensor("op_1046_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1047_cast_fp16 = mul(x = cv_15_cast_fp16, y = var_1046_to_fp16)[name = tensor("op_1047_cast_fp16")]; tensor var_1048_to_fp16 = const()[name = tensor("op_1048_to_fp16"), val = tensor(0x1p-1)]; tensor var_1049_cast_fp16 = add(x = var_1047_cast_fp16, y = var_1048_to_fp16)[name = tensor("op_1049_cast_fp16")]; tensor var_1050_to_fp16 = const()[name = tensor("op_1050_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(38472960)))]; tensor var_1053_cast_fp16 = mul(x = var_1049_cast_fp16, y = var_1050_to_fp16)[name = tensor("op_1053_cast_fp16")]; tensor input_121_cast_fp16 = add(x = xt_21_cast_fp16, y = var_1053_cast_fp16)[name = tensor("input_121_cast_fp16")]; tensor xt_23_pad_type_0 = const()[name = tensor("xt_23_pad_type_0"), val = tensor("custom")]; tensor xt_23_pad_0 = const()[name = tensor("xt_23_pad_0"), val = tensor([3, 3])]; tensor xt_23_strides_0 = const()[name = tensor("xt_23_strides_0"), val = tensor([1])]; tensor xt_23_dilations_0 = const()[name = tensor("xt_23_dilations_0"), val = tensor([1])]; tensor xt_23_groups_0 = const()[name = tensor("xt_23_groups_0"), val = tensor(1)]; tensor weight_87_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(38473536))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(38932352))), name = tensor("weight_87_to_fp16_palettized"), shape = tensor([256, 256, 7])]; tensor resblocks_1_convs2_0_bias_to_fp16 = const()[name = tensor("resblocks_1_convs2_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(38932928)))]; tensor xt_23_cast_fp16 = conv(bias = resblocks_1_convs2_0_bias_to_fp16, dilations = xt_23_dilations_0, groups = xt_23_groups_0, pad = xt_23_pad_0, pad_type = xt_23_pad_type_0, strides = xt_23_strides_0, weight = weight_87_to_fp16_palettized, x = input_121_cast_fp16)[name = tensor("xt_23_cast_fp16")]; tensor input_123_cast_fp16 = add(x = xt_23_cast_fp16, y = input_93_cast_fp16)[name = tensor("input_123_cast_fp16")]; tensor resblocks_1_adain1_1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(38933504))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(38999104))), name = tensor("resblocks_1_adain1_1_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_1_adain1_1_fc_bias_to_fp16 = const()[name = tensor("resblocks_1_adain1_1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(38999680)))]; tensor linear_18_cast_fp16 = linear(bias = resblocks_1_adain1_1_fc_bias_to_fp16, weight = resblocks_1_adain1_1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_18_cast_fp16")]; tensor var_1070 = const()[name = tensor("op_1070"), val = tensor([1, 512, 1])]; tensor h_75_cast_fp16 = reshape(shape = var_1070, x = linear_18_cast_fp16)[name = tensor("h_75_cast_fp16")]; tensor var_1072_split_sizes_0 = const()[name = tensor("op_1072_split_sizes_0"), val = tensor([256, 256])]; tensor var_1072_axis_0 = const()[name = tensor("op_1072_axis_0"), val = tensor(1)]; tensor var_1072_cast_fp16_0, tensor var_1072_cast_fp16_1 = split(axis = var_1072_axis_0, split_sizes = var_1072_split_sizes_0, x = h_75_cast_fp16)[name = tensor("op_1072_cast_fp16")]; tensor var_1074_promoted_to_fp16 = const()[name = tensor("op_1074_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1075_cast_fp16 = add(x = var_1072_cast_fp16_0, y = var_1074_promoted_to_fp16)[name = tensor("op_1075_cast_fp16")]; tensor var_1078_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_910_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_123_cast_fp16)[name = tensor("op_1078_cast_fp16")]; tensor var_1079_cast_fp16 = mul(x = var_1075_cast_fp16, y = var_1078_cast_fp16)[name = tensor("op_1079_cast_fp16")]; tensor xt_25_cast_fp16 = add(x = var_1079_cast_fp16, y = var_1072_cast_fp16_1)[name = tensor("xt_25_cast_fp16")]; tensor var_1082_to_fp16 = const()[name = tensor("op_1082_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39000768)))]; tensor var_1083_cast_fp16 = mul(x = xt_25_cast_fp16, y = var_1082_to_fp16)[name = tensor("op_1083_cast_fp16")]; tensor cv_17_cast_fp16 = cos(x = var_1083_cast_fp16)[name = tensor("cv_17_cast_fp16")]; tensor var_1085_to_fp16 = const()[name = tensor("op_1085_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1086_cast_fp16 = mul(x = cv_17_cast_fp16, y = var_1085_to_fp16)[name = tensor("op_1086_cast_fp16")]; tensor var_1087_to_fp16 = const()[name = tensor("op_1087_to_fp16"), val = tensor(0x1p-1)]; tensor var_1088_cast_fp16 = add(x = var_1086_cast_fp16, y = var_1087_to_fp16)[name = tensor("op_1088_cast_fp16")]; tensor var_1089_to_fp16 = const()[name = tensor("op_1089_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39001344)))]; tensor var_1092_cast_fp16 = mul(x = var_1088_cast_fp16, y = var_1089_to_fp16)[name = tensor("op_1092_cast_fp16")]; tensor input_125_cast_fp16 = add(x = xt_25_cast_fp16, y = var_1092_cast_fp16)[name = tensor("input_125_cast_fp16")]; tensor input_127_pad_type_0 = const()[name = tensor("input_127_pad_type_0"), val = tensor("custom")]; tensor input_127_pad_0 = const()[name = tensor("input_127_pad_0"), val = tensor([9, 9])]; tensor input_127_dilations_0 = const()[name = tensor("input_127_dilations_0"), val = tensor([3])]; tensor input_127_strides_0 = const()[name = tensor("input_127_strides_0"), val = tensor([1])]; tensor input_127_groups_0 = const()[name = tensor("input_127_groups_0"), val = tensor(1)]; tensor weight_91_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39001920))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39460736))), name = tensor("weight_91_to_fp16_palettized"), shape = tensor([256, 256, 7])]; tensor resblocks_1_convs1_1_bias_to_fp16 = const()[name = tensor("resblocks_1_convs1_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39461312)))]; tensor input_127_cast_fp16 = conv(bias = resblocks_1_convs1_1_bias_to_fp16, dilations = input_127_dilations_0, groups = input_127_groups_0, pad = input_127_pad_0, pad_type = input_127_pad_type_0, strides = input_127_strides_0, weight = weight_91_to_fp16_palettized, x = input_125_cast_fp16)[name = tensor("input_127_cast_fp16")]; tensor resblocks_1_adain2_1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39461888))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39527488))), name = tensor("resblocks_1_adain2_1_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_1_adain2_1_fc_bias_to_fp16 = const()[name = tensor("resblocks_1_adain2_1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39528064)))]; tensor linear_19_cast_fp16 = linear(bias = resblocks_1_adain2_1_fc_bias_to_fp16, weight = resblocks_1_adain2_1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_19_cast_fp16")]; tensor var_1108 = const()[name = tensor("op_1108"), val = tensor([1, 512, 1])]; tensor h_79_cast_fp16 = reshape(shape = var_1108, x = linear_19_cast_fp16)[name = tensor("h_79_cast_fp16")]; tensor var_1110_split_sizes_0 = const()[name = tensor("op_1110_split_sizes_0"), val = tensor([256, 256])]; tensor var_1110_axis_0 = const()[name = tensor("op_1110_axis_0"), val = tensor(1)]; tensor var_1110_cast_fp16_0, tensor var_1110_cast_fp16_1 = split(axis = var_1110_axis_0, split_sizes = var_1110_split_sizes_0, x = h_79_cast_fp16)[name = tensor("op_1110_cast_fp16")]; tensor var_1112_promoted_to_fp16 = const()[name = tensor("op_1112_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1113_cast_fp16 = add(x = var_1110_cast_fp16_0, y = var_1112_promoted_to_fp16)[name = tensor("op_1113_cast_fp16")]; tensor var_1116_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_910_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_127_cast_fp16)[name = tensor("op_1116_cast_fp16")]; tensor var_1117_cast_fp16 = mul(x = var_1113_cast_fp16, y = var_1116_cast_fp16)[name = tensor("op_1117_cast_fp16")]; tensor xt_27_cast_fp16 = add(x = var_1117_cast_fp16, y = var_1110_cast_fp16_1)[name = tensor("xt_27_cast_fp16")]; tensor var_1120_to_fp16 = const()[name = tensor("op_1120_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39529152)))]; tensor var_1121_cast_fp16 = mul(x = xt_27_cast_fp16, y = var_1120_to_fp16)[name = tensor("op_1121_cast_fp16")]; tensor cv_19_cast_fp16 = cos(x = var_1121_cast_fp16)[name = tensor("cv_19_cast_fp16")]; tensor var_1123_to_fp16 = const()[name = tensor("op_1123_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1124_cast_fp16 = mul(x = cv_19_cast_fp16, y = var_1123_to_fp16)[name = tensor("op_1124_cast_fp16")]; tensor var_1125_to_fp16 = const()[name = tensor("op_1125_to_fp16"), val = tensor(0x1p-1)]; tensor var_1126_cast_fp16 = add(x = var_1124_cast_fp16, y = var_1125_to_fp16)[name = tensor("op_1126_cast_fp16")]; tensor var_1127_to_fp16 = const()[name = tensor("op_1127_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39529728)))]; tensor var_1130_cast_fp16 = mul(x = var_1126_cast_fp16, y = var_1127_to_fp16)[name = tensor("op_1130_cast_fp16")]; tensor input_129_cast_fp16 = add(x = xt_27_cast_fp16, y = var_1130_cast_fp16)[name = tensor("input_129_cast_fp16")]; tensor xt_29_pad_type_0 = const()[name = tensor("xt_29_pad_type_0"), val = tensor("custom")]; tensor xt_29_pad_0 = const()[name = tensor("xt_29_pad_0"), val = tensor([3, 3])]; tensor xt_29_strides_0 = const()[name = tensor("xt_29_strides_0"), val = tensor([1])]; tensor xt_29_dilations_0 = const()[name = tensor("xt_29_dilations_0"), val = tensor([1])]; tensor xt_29_groups_0 = const()[name = tensor("xt_29_groups_0"), val = tensor(1)]; tensor weight_95_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39530304))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39989120))), name = tensor("weight_95_to_fp16_palettized"), shape = tensor([256, 256, 7])]; tensor resblocks_1_convs2_1_bias_to_fp16 = const()[name = tensor("resblocks_1_convs2_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39989696)))]; tensor xt_29_cast_fp16 = conv(bias = resblocks_1_convs2_1_bias_to_fp16, dilations = xt_29_dilations_0, groups = xt_29_groups_0, pad = xt_29_pad_0, pad_type = xt_29_pad_type_0, strides = xt_29_strides_0, weight = weight_95_to_fp16_palettized, x = input_129_cast_fp16)[name = tensor("xt_29_cast_fp16")]; tensor input_131_cast_fp16 = add(x = xt_29_cast_fp16, y = input_123_cast_fp16)[name = tensor("input_131_cast_fp16")]; tensor resblocks_1_adain1_2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39990272))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40055872))), name = tensor("resblocks_1_adain1_2_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_1_adain1_2_fc_bias_to_fp16 = const()[name = tensor("resblocks_1_adain1_2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40056448)))]; tensor linear_20_cast_fp16 = linear(bias = resblocks_1_adain1_2_fc_bias_to_fp16, weight = resblocks_1_adain1_2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_20_cast_fp16")]; tensor var_1147 = const()[name = tensor("op_1147"), val = tensor([1, 512, 1])]; tensor h_83_cast_fp16 = reshape(shape = var_1147, x = linear_20_cast_fp16)[name = tensor("h_83_cast_fp16")]; tensor var_1149_split_sizes_0 = const()[name = tensor("op_1149_split_sizes_0"), val = tensor([256, 256])]; tensor var_1149_axis_0 = const()[name = tensor("op_1149_axis_0"), val = tensor(1)]; tensor var_1149_cast_fp16_0, tensor var_1149_cast_fp16_1 = split(axis = var_1149_axis_0, split_sizes = var_1149_split_sizes_0, x = h_83_cast_fp16)[name = tensor("op_1149_cast_fp16")]; tensor var_1151_promoted_to_fp16 = const()[name = tensor("op_1151_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1152_cast_fp16 = add(x = var_1149_cast_fp16_0, y = var_1151_promoted_to_fp16)[name = tensor("op_1152_cast_fp16")]; tensor var_1155_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_910_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_131_cast_fp16)[name = tensor("op_1155_cast_fp16")]; tensor var_1156_cast_fp16 = mul(x = var_1152_cast_fp16, y = var_1155_cast_fp16)[name = tensor("op_1156_cast_fp16")]; tensor xt_31_cast_fp16 = add(x = var_1156_cast_fp16, y = var_1149_cast_fp16_1)[name = tensor("xt_31_cast_fp16")]; tensor var_1159_to_fp16 = const()[name = tensor("op_1159_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40057536)))]; tensor var_1160_cast_fp16 = mul(x = xt_31_cast_fp16, y = var_1159_to_fp16)[name = tensor("op_1160_cast_fp16")]; tensor cv_21_cast_fp16 = cos(x = var_1160_cast_fp16)[name = tensor("cv_21_cast_fp16")]; tensor var_1162_to_fp16 = const()[name = tensor("op_1162_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1163_cast_fp16 = mul(x = cv_21_cast_fp16, y = var_1162_to_fp16)[name = tensor("op_1163_cast_fp16")]; tensor var_1164_to_fp16 = const()[name = tensor("op_1164_to_fp16"), val = tensor(0x1p-1)]; tensor var_1165_cast_fp16 = add(x = var_1163_cast_fp16, y = var_1164_to_fp16)[name = tensor("op_1165_cast_fp16")]; tensor var_1166_to_fp16 = const()[name = tensor("op_1166_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40058112)))]; tensor var_1169_cast_fp16 = mul(x = var_1165_cast_fp16, y = var_1166_to_fp16)[name = tensor("op_1169_cast_fp16")]; tensor input_133_cast_fp16 = add(x = xt_31_cast_fp16, y = var_1169_cast_fp16)[name = tensor("input_133_cast_fp16")]; tensor input_135_pad_type_0 = const()[name = tensor("input_135_pad_type_0"), val = tensor("custom")]; tensor input_135_pad_0 = const()[name = tensor("input_135_pad_0"), val = tensor([15, 15])]; tensor input_135_dilations_0 = const()[name = tensor("input_135_dilations_0"), val = tensor([5])]; tensor input_135_strides_0 = const()[name = tensor("input_135_strides_0"), val = tensor([1])]; tensor input_135_groups_0 = const()[name = tensor("input_135_groups_0"), val = tensor(1)]; tensor weight_99_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40058688))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40517504))), name = tensor("weight_99_to_fp16_palettized"), shape = tensor([256, 256, 7])]; tensor resblocks_1_convs1_2_bias_to_fp16 = const()[name = tensor("resblocks_1_convs1_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40518080)))]; tensor input_135_cast_fp16 = conv(bias = resblocks_1_convs1_2_bias_to_fp16, dilations = input_135_dilations_0, groups = input_135_groups_0, pad = input_135_pad_0, pad_type = input_135_pad_type_0, strides = input_135_strides_0, weight = weight_99_to_fp16_palettized, x = input_133_cast_fp16)[name = tensor("input_135_cast_fp16")]; tensor resblocks_1_adain2_2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40518656))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40584256))), name = tensor("resblocks_1_adain2_2_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_1_adain2_2_fc_bias_to_fp16 = const()[name = tensor("resblocks_1_adain2_2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40584832)))]; tensor linear_21_cast_fp16 = linear(bias = resblocks_1_adain2_2_fc_bias_to_fp16, weight = resblocks_1_adain2_2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_21_cast_fp16")]; tensor var_1185 = const()[name = tensor("op_1185"), val = tensor([1, 512, 1])]; tensor h_87_cast_fp16 = reshape(shape = var_1185, x = linear_21_cast_fp16)[name = tensor("h_87_cast_fp16")]; tensor var_1187_split_sizes_0 = const()[name = tensor("op_1187_split_sizes_0"), val = tensor([256, 256])]; tensor var_1187_axis_0 = const()[name = tensor("op_1187_axis_0"), val = tensor(1)]; tensor var_1187_cast_fp16_0, tensor var_1187_cast_fp16_1 = split(axis = var_1187_axis_0, split_sizes = var_1187_split_sizes_0, x = h_87_cast_fp16)[name = tensor("op_1187_cast_fp16")]; tensor var_1189_promoted_to_fp16 = const()[name = tensor("op_1189_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1190_cast_fp16 = add(x = var_1187_cast_fp16_0, y = var_1189_promoted_to_fp16)[name = tensor("op_1190_cast_fp16")]; tensor var_1193_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_910_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_135_cast_fp16)[name = tensor("op_1193_cast_fp16")]; tensor var_1194_cast_fp16 = mul(x = var_1190_cast_fp16, y = var_1193_cast_fp16)[name = tensor("op_1194_cast_fp16")]; tensor xt_33_cast_fp16 = add(x = var_1194_cast_fp16, y = var_1187_cast_fp16_1)[name = tensor("xt_33_cast_fp16")]; tensor var_1197_to_fp16 = const()[name = tensor("op_1197_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40585920)))]; tensor var_1198_cast_fp16 = mul(x = xt_33_cast_fp16, y = var_1197_to_fp16)[name = tensor("op_1198_cast_fp16")]; tensor cv_23_cast_fp16 = cos(x = var_1198_cast_fp16)[name = tensor("cv_23_cast_fp16")]; tensor var_1200_to_fp16 = const()[name = tensor("op_1200_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1201_cast_fp16 = mul(x = cv_23_cast_fp16, y = var_1200_to_fp16)[name = tensor("op_1201_cast_fp16")]; tensor var_1202_to_fp16 = const()[name = tensor("op_1202_to_fp16"), val = tensor(0x1p-1)]; tensor var_1203_cast_fp16 = add(x = var_1201_cast_fp16, y = var_1202_to_fp16)[name = tensor("op_1203_cast_fp16")]; tensor var_1204_to_fp16 = const()[name = tensor("op_1204_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40586496)))]; tensor var_1207_cast_fp16 = mul(x = var_1203_cast_fp16, y = var_1204_to_fp16)[name = tensor("op_1207_cast_fp16")]; tensor input_137_cast_fp16 = add(x = xt_33_cast_fp16, y = var_1207_cast_fp16)[name = tensor("input_137_cast_fp16")]; tensor xt_35_pad_type_0 = const()[name = tensor("xt_35_pad_type_0"), val = tensor("custom")]; tensor xt_35_pad_0 = const()[name = tensor("xt_35_pad_0"), val = tensor([3, 3])]; tensor xt_35_strides_0 = const()[name = tensor("xt_35_strides_0"), val = tensor([1])]; tensor xt_35_dilations_0 = const()[name = tensor("xt_35_dilations_0"), val = tensor([1])]; tensor xt_35_groups_0 = const()[name = tensor("xt_35_groups_0"), val = tensor(1)]; tensor weight_103_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(40587072))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41045888))), name = tensor("weight_103_to_fp16_palettized"), shape = tensor([256, 256, 7])]; tensor resblocks_1_convs2_2_bias_to_fp16 = const()[name = tensor("resblocks_1_convs2_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41046464)))]; tensor xt_35_cast_fp16 = conv(bias = resblocks_1_convs2_2_bias_to_fp16, dilations = xt_35_dilations_0, groups = xt_35_groups_0, pad = xt_35_pad_0, pad_type = xt_35_pad_type_0, strides = xt_35_strides_0, weight = weight_103_to_fp16_palettized, x = input_137_cast_fp16)[name = tensor("xt_35_cast_fp16")]; tensor var_1216_cast_fp16 = add(x = xt_35_cast_fp16, y = input_131_cast_fp16)[name = tensor("op_1216_cast_fp16")]; tensor xs_3_cast_fp16 = add(x = xs_1_cast_fp16, y = var_1216_cast_fp16)[name = tensor("xs_3_cast_fp16")]; tensor resblocks_2_adain1_0_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41047040))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41112640))), name = tensor("resblocks_2_adain1_0_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_2_adain1_0_fc_bias_to_fp16 = const()[name = tensor("resblocks_2_adain1_0_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41113216)))]; tensor linear_22_cast_fp16 = linear(bias = resblocks_2_adain1_0_fc_bias_to_fp16, weight = resblocks_2_adain1_0_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_22_cast_fp16")]; tensor var_1309 = const()[name = tensor("op_1309"), val = tensor([1, 512, 1])]; tensor h_91_cast_fp16 = reshape(shape = var_1309, x = linear_22_cast_fp16)[name = tensor("h_91_cast_fp16")]; tensor var_1311_split_sizes_0 = const()[name = tensor("op_1311_split_sizes_0"), val = tensor([256, 256])]; tensor var_1311_axis_0 = const()[name = tensor("op_1311_axis_0"), val = tensor(1)]; tensor var_1311_cast_fp16_0, tensor var_1311_cast_fp16_1 = split(axis = var_1311_axis_0, split_sizes = var_1311_split_sizes_0, x = h_91_cast_fp16)[name = tensor("op_1311_cast_fp16")]; tensor var_1313_promoted_to_fp16 = const()[name = tensor("op_1313_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1314_cast_fp16 = add(x = var_1311_cast_fp16_0, y = var_1313_promoted_to_fp16)[name = tensor("op_1314_cast_fp16")]; tensor var_1318_cast_fp16 = mul(x = var_1314_cast_fp16, y = var_687_cast_fp16)[name = tensor("op_1318_cast_fp16")]; tensor xt_37_cast_fp16 = add(x = var_1318_cast_fp16, y = var_1311_cast_fp16_1)[name = tensor("xt_37_cast_fp16")]; tensor var_1321_to_fp16 = const()[name = tensor("op_1321_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41114304)))]; tensor var_1322_cast_fp16 = mul(x = xt_37_cast_fp16, y = var_1321_to_fp16)[name = tensor("op_1322_cast_fp16")]; tensor cv_25_cast_fp16 = cos(x = var_1322_cast_fp16)[name = tensor("cv_25_cast_fp16")]; tensor var_1324_to_fp16 = const()[name = tensor("op_1324_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1325_cast_fp16 = mul(x = cv_25_cast_fp16, y = var_1324_to_fp16)[name = tensor("op_1325_cast_fp16")]; tensor var_1326_to_fp16 = const()[name = tensor("op_1326_to_fp16"), val = tensor(0x1p-1)]; tensor var_1327_cast_fp16 = add(x = var_1325_cast_fp16, y = var_1326_to_fp16)[name = tensor("op_1327_cast_fp16")]; tensor var_1328_to_fp16 = const()[name = tensor("op_1328_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41114880)))]; tensor var_1331_cast_fp16 = mul(x = var_1327_cast_fp16, y = var_1328_to_fp16)[name = tensor("op_1331_cast_fp16")]; tensor input_139_cast_fp16 = add(x = xt_37_cast_fp16, y = var_1331_cast_fp16)[name = tensor("input_139_cast_fp16")]; tensor input_141_pad_type_0 = const()[name = tensor("input_141_pad_type_0"), val = tensor("custom")]; tensor input_141_pad_0 = const()[name = tensor("input_141_pad_0"), val = tensor([5, 5])]; tensor input_141_strides_0 = const()[name = tensor("input_141_strides_0"), val = tensor([1])]; tensor input_141_dilations_0 = const()[name = tensor("input_141_dilations_0"), val = tensor([1])]; tensor input_141_groups_0 = const()[name = tensor("input_141_groups_0"), val = tensor(1)]; tensor weight_107_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41115456))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41836416))), name = tensor("weight_107_to_fp16_palettized"), shape = tensor([256, 256, 11])]; tensor resblocks_2_convs1_0_bias_to_fp16 = const()[name = tensor("resblocks_2_convs1_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41836992)))]; tensor input_141_cast_fp16 = conv(bias = resblocks_2_convs1_0_bias_to_fp16, dilations = input_141_dilations_0, groups = input_141_groups_0, pad = input_141_pad_0, pad_type = input_141_pad_type_0, strides = input_141_strides_0, weight = weight_107_to_fp16_palettized, x = input_139_cast_fp16)[name = tensor("input_141_cast_fp16")]; tensor resblocks_2_adain2_0_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41837568))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41903168))), name = tensor("resblocks_2_adain2_0_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_2_adain2_0_fc_bias_to_fp16 = const()[name = tensor("resblocks_2_adain2_0_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41903744)))]; tensor linear_23_cast_fp16 = linear(bias = resblocks_2_adain2_0_fc_bias_to_fp16, weight = resblocks_2_adain2_0_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_23_cast_fp16")]; tensor var_1347 = const()[name = tensor("op_1347"), val = tensor([1, 512, 1])]; tensor h_95_cast_fp16 = reshape(shape = var_1347, x = linear_23_cast_fp16)[name = tensor("h_95_cast_fp16")]; tensor var_1349_split_sizes_0 = const()[name = tensor("op_1349_split_sizes_0"), val = tensor([256, 256])]; tensor var_1349_axis_0 = const()[name = tensor("op_1349_axis_0"), val = tensor(1)]; tensor var_1349_cast_fp16_0, tensor var_1349_cast_fp16_1 = split(axis = var_1349_axis_0, split_sizes = var_1349_split_sizes_0, x = h_95_cast_fp16)[name = tensor("op_1349_cast_fp16")]; tensor var_1351_promoted_to_fp16 = const()[name = tensor("op_1351_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1352_cast_fp16 = add(x = var_1349_cast_fp16_0, y = var_1351_promoted_to_fp16)[name = tensor("op_1352_cast_fp16")]; tensor var_1226_to_fp16 = const()[name = tensor("op_1226_to_fp16"), val = tensor(0x1.5p-17)]; tensor var_1355_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_1226_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_141_cast_fp16)[name = tensor("op_1355_cast_fp16")]; tensor var_1356_cast_fp16 = mul(x = var_1352_cast_fp16, y = var_1355_cast_fp16)[name = tensor("op_1356_cast_fp16")]; tensor xt_39_cast_fp16 = add(x = var_1356_cast_fp16, y = var_1349_cast_fp16_1)[name = tensor("xt_39_cast_fp16")]; tensor var_1359_to_fp16 = const()[name = tensor("op_1359_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41904832)))]; tensor var_1360_cast_fp16 = mul(x = xt_39_cast_fp16, y = var_1359_to_fp16)[name = tensor("op_1360_cast_fp16")]; tensor cv_27_cast_fp16 = cos(x = var_1360_cast_fp16)[name = tensor("cv_27_cast_fp16")]; tensor var_1362_to_fp16 = const()[name = tensor("op_1362_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1363_cast_fp16 = mul(x = cv_27_cast_fp16, y = var_1362_to_fp16)[name = tensor("op_1363_cast_fp16")]; tensor var_1364_to_fp16 = const()[name = tensor("op_1364_to_fp16"), val = tensor(0x1p-1)]; tensor var_1365_cast_fp16 = add(x = var_1363_cast_fp16, y = var_1364_to_fp16)[name = tensor("op_1365_cast_fp16")]; tensor var_1366_to_fp16 = const()[name = tensor("op_1366_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41905408)))]; tensor var_1369_cast_fp16 = mul(x = var_1365_cast_fp16, y = var_1366_to_fp16)[name = tensor("op_1369_cast_fp16")]; tensor input_143_cast_fp16 = add(x = xt_39_cast_fp16, y = var_1369_cast_fp16)[name = tensor("input_143_cast_fp16")]; tensor xt_41_pad_type_0 = const()[name = tensor("xt_41_pad_type_0"), val = tensor("custom")]; tensor xt_41_pad_0 = const()[name = tensor("xt_41_pad_0"), val = tensor([5, 5])]; tensor xt_41_strides_0 = const()[name = tensor("xt_41_strides_0"), val = tensor([1])]; tensor xt_41_dilations_0 = const()[name = tensor("xt_41_dilations_0"), val = tensor([1])]; tensor xt_41_groups_0 = const()[name = tensor("xt_41_groups_0"), val = tensor(1)]; tensor weight_111_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(41905984))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(42626944))), name = tensor("weight_111_to_fp16_palettized"), shape = tensor([256, 256, 11])]; tensor resblocks_2_convs2_0_bias_to_fp16 = const()[name = tensor("resblocks_2_convs2_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(42627520)))]; tensor xt_41_cast_fp16 = conv(bias = resblocks_2_convs2_0_bias_to_fp16, dilations = xt_41_dilations_0, groups = xt_41_groups_0, pad = xt_41_pad_0, pad_type = xt_41_pad_type_0, strides = xt_41_strides_0, weight = weight_111_to_fp16_palettized, x = input_143_cast_fp16)[name = tensor("xt_41_cast_fp16")]; tensor input_145_cast_fp16 = add(x = xt_41_cast_fp16, y = input_93_cast_fp16)[name = tensor("input_145_cast_fp16")]; tensor resblocks_2_adain1_1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(42628096))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(42693696))), name = tensor("resblocks_2_adain1_1_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_2_adain1_1_fc_bias_to_fp16 = const()[name = tensor("resblocks_2_adain1_1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(42694272)))]; tensor linear_24_cast_fp16 = linear(bias = resblocks_2_adain1_1_fc_bias_to_fp16, weight = resblocks_2_adain1_1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_24_cast_fp16")]; tensor var_1386 = const()[name = tensor("op_1386"), val = tensor([1, 512, 1])]; tensor h_99_cast_fp16 = reshape(shape = var_1386, x = linear_24_cast_fp16)[name = tensor("h_99_cast_fp16")]; tensor var_1388_split_sizes_0 = const()[name = tensor("op_1388_split_sizes_0"), val = tensor([256, 256])]; tensor var_1388_axis_0 = const()[name = tensor("op_1388_axis_0"), val = tensor(1)]; tensor var_1388_cast_fp16_0, tensor var_1388_cast_fp16_1 = split(axis = var_1388_axis_0, split_sizes = var_1388_split_sizes_0, x = h_99_cast_fp16)[name = tensor("op_1388_cast_fp16")]; tensor var_1390_promoted_to_fp16 = const()[name = tensor("op_1390_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1391_cast_fp16 = add(x = var_1388_cast_fp16_0, y = var_1390_promoted_to_fp16)[name = tensor("op_1391_cast_fp16")]; tensor var_1394_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_1226_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_145_cast_fp16)[name = tensor("op_1394_cast_fp16")]; tensor var_1395_cast_fp16 = mul(x = var_1391_cast_fp16, y = var_1394_cast_fp16)[name = tensor("op_1395_cast_fp16")]; tensor xt_43_cast_fp16 = add(x = var_1395_cast_fp16, y = var_1388_cast_fp16_1)[name = tensor("xt_43_cast_fp16")]; tensor var_1398_to_fp16 = const()[name = tensor("op_1398_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(42695360)))]; tensor var_1399_cast_fp16 = mul(x = xt_43_cast_fp16, y = var_1398_to_fp16)[name = tensor("op_1399_cast_fp16")]; tensor cv_29_cast_fp16 = cos(x = var_1399_cast_fp16)[name = tensor("cv_29_cast_fp16")]; tensor var_1401_to_fp16 = const()[name = tensor("op_1401_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1402_cast_fp16 = mul(x = cv_29_cast_fp16, y = var_1401_to_fp16)[name = tensor("op_1402_cast_fp16")]; tensor var_1403_to_fp16 = const()[name = tensor("op_1403_to_fp16"), val = tensor(0x1p-1)]; tensor var_1404_cast_fp16 = add(x = var_1402_cast_fp16, y = var_1403_to_fp16)[name = tensor("op_1404_cast_fp16")]; tensor var_1405_to_fp16 = const()[name = tensor("op_1405_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(42695936)))]; tensor var_1408_cast_fp16 = mul(x = var_1404_cast_fp16, y = var_1405_to_fp16)[name = tensor("op_1408_cast_fp16")]; tensor input_147_cast_fp16 = add(x = xt_43_cast_fp16, y = var_1408_cast_fp16)[name = tensor("input_147_cast_fp16")]; tensor input_149_pad_type_0 = const()[name = tensor("input_149_pad_type_0"), val = tensor("custom")]; tensor input_149_pad_0 = const()[name = tensor("input_149_pad_0"), val = tensor([15, 15])]; tensor input_149_dilations_0 = const()[name = tensor("input_149_dilations_0"), val = tensor([3])]; tensor input_149_strides_0 = const()[name = tensor("input_149_strides_0"), val = tensor([1])]; tensor input_149_groups_0 = const()[name = tensor("input_149_groups_0"), val = tensor(1)]; tensor weight_115_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(42696512))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(43417472))), name = tensor("weight_115_to_fp16_palettized"), shape = tensor([256, 256, 11])]; tensor resblocks_2_convs1_1_bias_to_fp16 = const()[name = tensor("resblocks_2_convs1_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(43418048)))]; tensor input_149_cast_fp16 = conv(bias = resblocks_2_convs1_1_bias_to_fp16, dilations = input_149_dilations_0, groups = input_149_groups_0, pad = input_149_pad_0, pad_type = input_149_pad_type_0, strides = input_149_strides_0, weight = weight_115_to_fp16_palettized, x = input_147_cast_fp16)[name = tensor("input_149_cast_fp16")]; tensor resblocks_2_adain2_1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(43418624))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(43484224))), name = tensor("resblocks_2_adain2_1_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_2_adain2_1_fc_bias_to_fp16 = const()[name = tensor("resblocks_2_adain2_1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(43484800)))]; tensor linear_25_cast_fp16 = linear(bias = resblocks_2_adain2_1_fc_bias_to_fp16, weight = resblocks_2_adain2_1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_25_cast_fp16")]; tensor var_1424 = const()[name = tensor("op_1424"), val = tensor([1, 512, 1])]; tensor h_103_cast_fp16 = reshape(shape = var_1424, x = linear_25_cast_fp16)[name = tensor("h_103_cast_fp16")]; tensor var_1426_split_sizes_0 = const()[name = tensor("op_1426_split_sizes_0"), val = tensor([256, 256])]; tensor var_1426_axis_0 = const()[name = tensor("op_1426_axis_0"), val = tensor(1)]; tensor var_1426_cast_fp16_0, tensor var_1426_cast_fp16_1 = split(axis = var_1426_axis_0, split_sizes = var_1426_split_sizes_0, x = h_103_cast_fp16)[name = tensor("op_1426_cast_fp16")]; tensor var_1428_promoted_to_fp16 = const()[name = tensor("op_1428_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1429_cast_fp16 = add(x = var_1426_cast_fp16_0, y = var_1428_promoted_to_fp16)[name = tensor("op_1429_cast_fp16")]; tensor var_1432_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_1226_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_149_cast_fp16)[name = tensor("op_1432_cast_fp16")]; tensor var_1433_cast_fp16 = mul(x = var_1429_cast_fp16, y = var_1432_cast_fp16)[name = tensor("op_1433_cast_fp16")]; tensor xt_45_cast_fp16 = add(x = var_1433_cast_fp16, y = var_1426_cast_fp16_1)[name = tensor("xt_45_cast_fp16")]; tensor var_1436_to_fp16 = const()[name = tensor("op_1436_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(43485888)))]; tensor var_1437_cast_fp16 = mul(x = xt_45_cast_fp16, y = var_1436_to_fp16)[name = tensor("op_1437_cast_fp16")]; tensor cv_31_cast_fp16 = cos(x = var_1437_cast_fp16)[name = tensor("cv_31_cast_fp16")]; tensor var_1439_to_fp16 = const()[name = tensor("op_1439_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1440_cast_fp16 = mul(x = cv_31_cast_fp16, y = var_1439_to_fp16)[name = tensor("op_1440_cast_fp16")]; tensor var_1441_to_fp16 = const()[name = tensor("op_1441_to_fp16"), val = tensor(0x1p-1)]; tensor var_1442_cast_fp16 = add(x = var_1440_cast_fp16, y = var_1441_to_fp16)[name = tensor("op_1442_cast_fp16")]; tensor var_1443_to_fp16 = const()[name = tensor("op_1443_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(43486464)))]; tensor var_1446_cast_fp16 = mul(x = var_1442_cast_fp16, y = var_1443_to_fp16)[name = tensor("op_1446_cast_fp16")]; tensor input_151_cast_fp16 = add(x = xt_45_cast_fp16, y = var_1446_cast_fp16)[name = tensor("input_151_cast_fp16")]; tensor xt_47_pad_type_0 = const()[name = tensor("xt_47_pad_type_0"), val = tensor("custom")]; tensor xt_47_pad_0 = const()[name = tensor("xt_47_pad_0"), val = tensor([5, 5])]; tensor xt_47_strides_0 = const()[name = tensor("xt_47_strides_0"), val = tensor([1])]; tensor xt_47_dilations_0 = const()[name = tensor("xt_47_dilations_0"), val = tensor([1])]; tensor xt_47_groups_0 = const()[name = tensor("xt_47_groups_0"), val = tensor(1)]; tensor weight_119_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(43487040))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44208000))), name = tensor("weight_119_to_fp16_palettized"), shape = tensor([256, 256, 11])]; tensor resblocks_2_convs2_1_bias_to_fp16 = const()[name = tensor("resblocks_2_convs2_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44208576)))]; tensor xt_47_cast_fp16 = conv(bias = resblocks_2_convs2_1_bias_to_fp16, dilations = xt_47_dilations_0, groups = xt_47_groups_0, pad = xt_47_pad_0, pad_type = xt_47_pad_type_0, strides = xt_47_strides_0, weight = weight_119_to_fp16_palettized, x = input_151_cast_fp16)[name = tensor("xt_47_cast_fp16")]; tensor input_153_cast_fp16 = add(x = xt_47_cast_fp16, y = input_145_cast_fp16)[name = tensor("input_153_cast_fp16")]; tensor resblocks_2_adain1_2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44209152))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44274752))), name = tensor("resblocks_2_adain1_2_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_2_adain1_2_fc_bias_to_fp16 = const()[name = tensor("resblocks_2_adain1_2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44275328)))]; tensor linear_26_cast_fp16 = linear(bias = resblocks_2_adain1_2_fc_bias_to_fp16, weight = resblocks_2_adain1_2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_26_cast_fp16")]; tensor var_1463 = const()[name = tensor("op_1463"), val = tensor([1, 512, 1])]; tensor h_107_cast_fp16 = reshape(shape = var_1463, x = linear_26_cast_fp16)[name = tensor("h_107_cast_fp16")]; tensor var_1465_split_sizes_0 = const()[name = tensor("op_1465_split_sizes_0"), val = tensor([256, 256])]; tensor var_1465_axis_0 = const()[name = tensor("op_1465_axis_0"), val = tensor(1)]; tensor var_1465_cast_fp16_0, tensor var_1465_cast_fp16_1 = split(axis = var_1465_axis_0, split_sizes = var_1465_split_sizes_0, x = h_107_cast_fp16)[name = tensor("op_1465_cast_fp16")]; tensor var_1467_promoted_to_fp16 = const()[name = tensor("op_1467_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1468_cast_fp16 = add(x = var_1465_cast_fp16_0, y = var_1467_promoted_to_fp16)[name = tensor("op_1468_cast_fp16")]; tensor var_1471_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_1226_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_153_cast_fp16)[name = tensor("op_1471_cast_fp16")]; tensor var_1472_cast_fp16 = mul(x = var_1468_cast_fp16, y = var_1471_cast_fp16)[name = tensor("op_1472_cast_fp16")]; tensor xt_49_cast_fp16 = add(x = var_1472_cast_fp16, y = var_1465_cast_fp16_1)[name = tensor("xt_49_cast_fp16")]; tensor var_1475_to_fp16 = const()[name = tensor("op_1475_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44276416)))]; tensor var_1476_cast_fp16 = mul(x = xt_49_cast_fp16, y = var_1475_to_fp16)[name = tensor("op_1476_cast_fp16")]; tensor cv_33_cast_fp16 = cos(x = var_1476_cast_fp16)[name = tensor("cv_33_cast_fp16")]; tensor var_1478_to_fp16 = const()[name = tensor("op_1478_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1479_cast_fp16 = mul(x = cv_33_cast_fp16, y = var_1478_to_fp16)[name = tensor("op_1479_cast_fp16")]; tensor var_1480_to_fp16 = const()[name = tensor("op_1480_to_fp16"), val = tensor(0x1p-1)]; tensor var_1481_cast_fp16 = add(x = var_1479_cast_fp16, y = var_1480_to_fp16)[name = tensor("op_1481_cast_fp16")]; tensor var_1482_to_fp16 = const()[name = tensor("op_1482_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44276992)))]; tensor var_1485_cast_fp16 = mul(x = var_1481_cast_fp16, y = var_1482_to_fp16)[name = tensor("op_1485_cast_fp16")]; tensor input_155_cast_fp16 = add(x = xt_49_cast_fp16, y = var_1485_cast_fp16)[name = tensor("input_155_cast_fp16")]; tensor input_157_pad_type_0 = const()[name = tensor("input_157_pad_type_0"), val = tensor("custom")]; tensor input_157_pad_0 = const()[name = tensor("input_157_pad_0"), val = tensor([25, 25])]; tensor input_157_dilations_0 = const()[name = tensor("input_157_dilations_0"), val = tensor([5])]; tensor input_157_strides_0 = const()[name = tensor("input_157_strides_0"), val = tensor([1])]; tensor input_157_groups_0 = const()[name = tensor("input_157_groups_0"), val = tensor(1)]; tensor weight_123_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44277568))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44998528))), name = tensor("weight_123_to_fp16_palettized"), shape = tensor([256, 256, 11])]; tensor resblocks_2_convs1_2_bias_to_fp16 = const()[name = tensor("resblocks_2_convs1_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44999104)))]; tensor input_157_cast_fp16 = conv(bias = resblocks_2_convs1_2_bias_to_fp16, dilations = input_157_dilations_0, groups = input_157_groups_0, pad = input_157_pad_0, pad_type = input_157_pad_type_0, strides = input_157_strides_0, weight = weight_123_to_fp16_palettized, x = input_155_cast_fp16)[name = tensor("input_157_cast_fp16")]; tensor resblocks_2_adain2_2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44999680))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(45065280))), name = tensor("resblocks_2_adain2_2_fc_weight_to_fp16_palettized"), shape = tensor([512, 128])]; tensor resblocks_2_adain2_2_fc_bias_to_fp16 = const()[name = tensor("resblocks_2_adain2_2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(45065856)))]; tensor linear_27_cast_fp16 = linear(bias = resblocks_2_adain2_2_fc_bias_to_fp16, weight = resblocks_2_adain2_2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_27_cast_fp16")]; tensor var_1501 = const()[name = tensor("op_1501"), val = tensor([1, 512, 1])]; tensor h_111_cast_fp16 = reshape(shape = var_1501, x = linear_27_cast_fp16)[name = tensor("h_111_cast_fp16")]; tensor var_1503_split_sizes_0 = const()[name = tensor("op_1503_split_sizes_0"), val = tensor([256, 256])]; tensor var_1503_axis_0 = const()[name = tensor("op_1503_axis_0"), val = tensor(1)]; tensor var_1503_cast_fp16_0, tensor var_1503_cast_fp16_1 = split(axis = var_1503_axis_0, split_sizes = var_1503_split_sizes_0, x = h_111_cast_fp16)[name = tensor("op_1503_cast_fp16")]; tensor var_1505_promoted_to_fp16 = const()[name = tensor("op_1505_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1506_cast_fp16 = add(x = var_1503_cast_fp16_0, y = var_1505_promoted_to_fp16)[name = tensor("op_1506_cast_fp16")]; tensor var_1509_cast_fp16 = instance_norm(beta = resblocks_0_adain1_0_norm_bias_to_fp16, epsilon = var_1226_to_fp16, gamma = resblocks_0_adain1_0_norm_weight_to_fp16, x = input_157_cast_fp16)[name = tensor("op_1509_cast_fp16")]; tensor var_1510_cast_fp16 = mul(x = var_1506_cast_fp16, y = var_1509_cast_fp16)[name = tensor("op_1510_cast_fp16")]; tensor xt_51_cast_fp16 = add(x = var_1510_cast_fp16, y = var_1503_cast_fp16_1)[name = tensor("xt_51_cast_fp16")]; tensor var_1513_to_fp16 = const()[name = tensor("op_1513_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(45066944)))]; tensor var_1514_cast_fp16 = mul(x = xt_51_cast_fp16, y = var_1513_to_fp16)[name = tensor("op_1514_cast_fp16")]; tensor cv_35_cast_fp16 = cos(x = var_1514_cast_fp16)[name = tensor("cv_35_cast_fp16")]; tensor var_1516_to_fp16 = const()[name = tensor("op_1516_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1517_cast_fp16 = mul(x = cv_35_cast_fp16, y = var_1516_to_fp16)[name = tensor("op_1517_cast_fp16")]; tensor var_1518_to_fp16 = const()[name = tensor("op_1518_to_fp16"), val = tensor(0x1p-1)]; tensor var_1519_cast_fp16 = add(x = var_1517_cast_fp16, y = var_1518_to_fp16)[name = tensor("op_1519_cast_fp16")]; tensor var_1520_to_fp16 = const()[name = tensor("op_1520_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(45067520)))]; tensor var_1523_cast_fp16 = mul(x = var_1519_cast_fp16, y = var_1520_to_fp16)[name = tensor("op_1523_cast_fp16")]; tensor input_159_cast_fp16 = add(x = xt_51_cast_fp16, y = var_1523_cast_fp16)[name = tensor("input_159_cast_fp16")]; tensor xt_53_pad_type_0 = const()[name = tensor("xt_53_pad_type_0"), val = tensor("custom")]; tensor xt_53_pad_0 = const()[name = tensor("xt_53_pad_0"), val = tensor([5, 5])]; tensor xt_53_strides_0 = const()[name = tensor("xt_53_strides_0"), val = tensor([1])]; tensor xt_53_dilations_0 = const()[name = tensor("xt_53_dilations_0"), val = tensor([1])]; tensor xt_53_groups_0 = const()[name = tensor("xt_53_groups_0"), val = tensor(1)]; tensor weight_127_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(45068096))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(45789056))), name = tensor("weight_127_to_fp16_palettized"), shape = tensor([256, 256, 11])]; tensor resblocks_2_convs2_2_bias_to_fp16 = const()[name = tensor("resblocks_2_convs2_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(45789632)))]; tensor xt_53_cast_fp16 = conv(bias = resblocks_2_convs2_2_bias_to_fp16, dilations = xt_53_dilations_0, groups = xt_53_groups_0, pad = xt_53_pad_0, pad_type = xt_53_pad_type_0, strides = xt_53_strides_0, weight = weight_127_to_fp16_palettized, x = input_159_cast_fp16)[name = tensor("xt_53_cast_fp16")]; tensor var_1532_cast_fp16 = add(x = xt_53_cast_fp16, y = input_153_cast_fp16)[name = tensor("op_1532_cast_fp16")]; tensor xs_5_cast_fp16 = add(x = xs_3_cast_fp16, y = var_1532_cast_fp16)[name = tensor("xs_5_cast_fp16")]; tensor _inversed_input_161_y_0_to_fp16 = const()[name = tensor("_inversed_input_161_y_0_to_fp16"), val = tensor(0x1.554p-2)]; tensor _inversed_input_161_cast_fp16 = mul(x = xs_5_cast_fp16, y = _inversed_input_161_y_0_to_fp16)[name = tensor("_inversed_input_161_cast_fp16")]; tensor var_1537 = const()[name = tensor("op_1537"), val = tensor(0x1.99999ap-4)]; tensor input_163_cast_fp16 = leaky_relu(alpha = var_1537, x = _inversed_input_161_cast_fp16)[name = tensor("input_163_cast_fp16")]; tensor x_11_pad_type_0 = const()[name = tensor("x_11_pad_type_0"), val = tensor("custom")]; tensor x_11_pad_0 = const()[name = tensor("x_11_pad_0"), val = tensor([3, 3])]; tensor x_11_strides_0 = const()[name = tensor("x_11_strides_0"), val = tensor([6])]; tensor x_11_dilations_0 = const()[name = tensor("x_11_dilations_0"), val = tensor([1])]; tensor x_11_groups_0 = const()[name = tensor("x_11_groups_0"), val = tensor(1)]; tensor op_1540_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(45790208))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46183488))), name = tensor("op_1540_to_fp16_palettized"), shape = tensor([256, 128, 12])]; tensor ups_1_bias_to_fp16 = const()[name = tensor("ups_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46184064)))]; tensor x_11_cast_fp16 = conv_transpose(bias = ups_1_bias_to_fp16, dilations = x_11_dilations_0, groups = x_11_groups_0, pad = x_11_pad_0, pad_type = x_11_pad_type_0, strides = x_11_strides_0, weight = op_1540_to_fp16_palettized, x = input_163_cast_fp16)[name = tensor("x_11_cast_fp16")]; tensor var_1567_begin_0 = const()[name = tensor("op_1567_begin_0"), val = tensor([0, 0, 1])]; tensor var_1567_end_0 = const()[name = tensor("op_1567_end_0"), val = tensor([1, 128, 2])]; tensor var_1567_end_mask_0 = const()[name = tensor("op_1567_end_mask_0"), val = tensor([true, true, false])]; tensor var_1567_cast_fp16 = slice_by_index(begin = var_1567_begin_0, end = var_1567_end_0, end_mask = var_1567_end_mask_0, x = x_11_cast_fp16)[name = tensor("op_1567_cast_fp16")]; tensor var_1569 = const()[name = tensor("op_1569"), val = tensor(2)]; tensor x_interleave_0 = const()[name = tensor("x_interleave_0"), val = tensor(false)]; tensor x_cast_fp16 = concat(axis = var_1569, interleave = x_interleave_0, values = (var_1567_cast_fp16, x_11_cast_fp16))[name = tensor("x_cast_fp16")]; tensor input_165_cast_fp16 = add(x = x_cast_fp16, y = x_source_1)[name = tensor("input_165_cast_fp16")]; tensor resblocks_3_adain1_0_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46184384))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46217216))), name = tensor("resblocks_3_adain1_0_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_3_adain1_0_fc_bias_to_fp16 = const()[name = tensor("resblocks_3_adain1_0_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46217792)))]; tensor linear_28_cast_fp16 = linear(bias = resblocks_3_adain1_0_fc_bias_to_fp16, weight = resblocks_3_adain1_0_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_28_cast_fp16")]; tensor var_1661 = const()[name = tensor("op_1661"), val = tensor([1, 256, 1])]; tensor h_115_cast_fp16 = reshape(shape = var_1661, x = linear_28_cast_fp16)[name = tensor("h_115_cast_fp16")]; tensor var_1663_split_sizes_0 = const()[name = tensor("op_1663_split_sizes_0"), val = tensor([128, 128])]; tensor var_1663_axis_0 = const()[name = tensor("op_1663_axis_0"), val = tensor(1)]; tensor var_1663_cast_fp16_0, tensor var_1663_cast_fp16_1 = split(axis = var_1663_axis_0, split_sizes = var_1663_split_sizes_0, x = h_115_cast_fp16)[name = tensor("op_1663_cast_fp16")]; tensor var_1665_promoted_to_fp16 = const()[name = tensor("op_1665_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1666_cast_fp16 = add(x = var_1663_cast_fp16_0, y = var_1665_promoted_to_fp16)[name = tensor("op_1666_cast_fp16")]; tensor resblocks_3_adain1_0_norm_weight_to_fp16 = const()[name = tensor("resblocks_3_adain1_0_norm_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46218368)))]; tensor resblocks_3_adain1_0_norm_bias_to_fp16 = const()[name = tensor("resblocks_3_adain1_0_norm_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46218688)))]; tensor var_1578_to_fp16 = const()[name = tensor("op_1578_to_fp16"), val = tensor(0x1.5p-17)]; tensor var_1669_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_1578_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_165_cast_fp16)[name = tensor("op_1669_cast_fp16")]; tensor var_1670_cast_fp16 = mul(x = var_1666_cast_fp16, y = var_1669_cast_fp16)[name = tensor("op_1670_cast_fp16")]; tensor xt_55_cast_fp16 = add(x = var_1670_cast_fp16, y = var_1663_cast_fp16_1)[name = tensor("xt_55_cast_fp16")]; tensor var_1673_to_fp16 = const()[name = tensor("op_1673_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46219008)))]; tensor var_1674_cast_fp16 = mul(x = xt_55_cast_fp16, y = var_1673_to_fp16)[name = tensor("op_1674_cast_fp16")]; tensor cv_37_cast_fp16 = cos(x = var_1674_cast_fp16)[name = tensor("cv_37_cast_fp16")]; tensor var_1676_to_fp16 = const()[name = tensor("op_1676_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1677_cast_fp16 = mul(x = cv_37_cast_fp16, y = var_1676_to_fp16)[name = tensor("op_1677_cast_fp16")]; tensor var_1678_to_fp16 = const()[name = tensor("op_1678_to_fp16"), val = tensor(0x1p-1)]; tensor var_1679_cast_fp16 = add(x = var_1677_cast_fp16, y = var_1678_to_fp16)[name = tensor("op_1679_cast_fp16")]; tensor var_1680_to_fp16 = const()[name = tensor("op_1680_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46219328)))]; tensor var_1683_cast_fp16 = mul(x = var_1679_cast_fp16, y = var_1680_to_fp16)[name = tensor("op_1683_cast_fp16")]; tensor input_167_cast_fp16 = add(x = xt_55_cast_fp16, y = var_1683_cast_fp16)[name = tensor("input_167_cast_fp16")]; tensor input_169_pad_type_0 = const()[name = tensor("input_169_pad_type_0"), val = tensor("custom")]; tensor input_169_pad_0 = const()[name = tensor("input_169_pad_0"), val = tensor([1, 1])]; tensor input_169_strides_0 = const()[name = tensor("input_169_strides_0"), val = tensor([1])]; tensor input_169_dilations_0 = const()[name = tensor("input_169_dilations_0"), val = tensor([1])]; tensor input_169_groups_0 = const()[name = tensor("input_169_groups_0"), val = tensor(1)]; tensor weight_131_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46219648))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46268864))), name = tensor("weight_131_to_fp16_palettized"), shape = tensor([128, 128, 3])]; tensor resblocks_3_convs1_0_bias_to_fp16 = const()[name = tensor("resblocks_3_convs1_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46269440)))]; tensor input_169_cast_fp16 = conv(bias = resblocks_3_convs1_0_bias_to_fp16, dilations = input_169_dilations_0, groups = input_169_groups_0, pad = input_169_pad_0, pad_type = input_169_pad_type_0, strides = input_169_strides_0, weight = weight_131_to_fp16_palettized, x = input_167_cast_fp16)[name = tensor("input_169_cast_fp16")]; tensor resblocks_3_adain2_0_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46269760))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46302592))), name = tensor("resblocks_3_adain2_0_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_3_adain2_0_fc_bias_to_fp16 = const()[name = tensor("resblocks_3_adain2_0_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46303168)))]; tensor linear_29_cast_fp16 = linear(bias = resblocks_3_adain2_0_fc_bias_to_fp16, weight = resblocks_3_adain2_0_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_29_cast_fp16")]; tensor var_1699 = const()[name = tensor("op_1699"), val = tensor([1, 256, 1])]; tensor h_119_cast_fp16 = reshape(shape = var_1699, x = linear_29_cast_fp16)[name = tensor("h_119_cast_fp16")]; tensor var_1701_split_sizes_0 = const()[name = tensor("op_1701_split_sizes_0"), val = tensor([128, 128])]; tensor var_1701_axis_0 = const()[name = tensor("op_1701_axis_0"), val = tensor(1)]; tensor var_1701_cast_fp16_0, tensor var_1701_cast_fp16_1 = split(axis = var_1701_axis_0, split_sizes = var_1701_split_sizes_0, x = h_119_cast_fp16)[name = tensor("op_1701_cast_fp16")]; tensor var_1703_promoted_to_fp16 = const()[name = tensor("op_1703_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1704_cast_fp16 = add(x = var_1701_cast_fp16_0, y = var_1703_promoted_to_fp16)[name = tensor("op_1704_cast_fp16")]; tensor var_1707_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_1578_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_169_cast_fp16)[name = tensor("op_1707_cast_fp16")]; tensor var_1708_cast_fp16 = mul(x = var_1704_cast_fp16, y = var_1707_cast_fp16)[name = tensor("op_1708_cast_fp16")]; tensor xt_57_cast_fp16 = add(x = var_1708_cast_fp16, y = var_1701_cast_fp16_1)[name = tensor("xt_57_cast_fp16")]; tensor var_1711_to_fp16 = const()[name = tensor("op_1711_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46303744)))]; tensor var_1712_cast_fp16 = mul(x = xt_57_cast_fp16, y = var_1711_to_fp16)[name = tensor("op_1712_cast_fp16")]; tensor cv_39_cast_fp16 = cos(x = var_1712_cast_fp16)[name = tensor("cv_39_cast_fp16")]; tensor var_1714_to_fp16 = const()[name = tensor("op_1714_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1715_cast_fp16 = mul(x = cv_39_cast_fp16, y = var_1714_to_fp16)[name = tensor("op_1715_cast_fp16")]; tensor var_1716_to_fp16 = const()[name = tensor("op_1716_to_fp16"), val = tensor(0x1p-1)]; tensor var_1717_cast_fp16 = add(x = var_1715_cast_fp16, y = var_1716_to_fp16)[name = tensor("op_1717_cast_fp16")]; tensor var_1718_to_fp16 = const()[name = tensor("op_1718_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46304064)))]; tensor var_1721_cast_fp16 = mul(x = var_1717_cast_fp16, y = var_1718_to_fp16)[name = tensor("op_1721_cast_fp16")]; tensor input_171_cast_fp16 = add(x = xt_57_cast_fp16, y = var_1721_cast_fp16)[name = tensor("input_171_cast_fp16")]; tensor xt_59_pad_type_0 = const()[name = tensor("xt_59_pad_type_0"), val = tensor("custom")]; tensor xt_59_pad_0 = const()[name = tensor("xt_59_pad_0"), val = tensor([1, 1])]; tensor xt_59_strides_0 = const()[name = tensor("xt_59_strides_0"), val = tensor([1])]; tensor xt_59_dilations_0 = const()[name = tensor("xt_59_dilations_0"), val = tensor([1])]; tensor xt_59_groups_0 = const()[name = tensor("xt_59_groups_0"), val = tensor(1)]; tensor weight_135_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46304384))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46353600))), name = tensor("weight_135_to_fp16_palettized"), shape = tensor([128, 128, 3])]; tensor resblocks_3_convs2_0_bias_to_fp16 = const()[name = tensor("resblocks_3_convs2_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46354176)))]; tensor xt_59_cast_fp16 = conv(bias = resblocks_3_convs2_0_bias_to_fp16, dilations = xt_59_dilations_0, groups = xt_59_groups_0, pad = xt_59_pad_0, pad_type = xt_59_pad_type_0, strides = xt_59_strides_0, weight = weight_135_to_fp16_palettized, x = input_171_cast_fp16)[name = tensor("xt_59_cast_fp16")]; tensor input_173_cast_fp16 = add(x = xt_59_cast_fp16, y = input_165_cast_fp16)[name = tensor("input_173_cast_fp16")]; tensor resblocks_3_adain1_1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46354496))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46387328))), name = tensor("resblocks_3_adain1_1_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_3_adain1_1_fc_bias_to_fp16 = const()[name = tensor("resblocks_3_adain1_1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46387904)))]; tensor linear_30_cast_fp16 = linear(bias = resblocks_3_adain1_1_fc_bias_to_fp16, weight = resblocks_3_adain1_1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_30_cast_fp16")]; tensor var_1738 = const()[name = tensor("op_1738"), val = tensor([1, 256, 1])]; tensor h_123_cast_fp16 = reshape(shape = var_1738, x = linear_30_cast_fp16)[name = tensor("h_123_cast_fp16")]; tensor var_1740_split_sizes_0 = const()[name = tensor("op_1740_split_sizes_0"), val = tensor([128, 128])]; tensor var_1740_axis_0 = const()[name = tensor("op_1740_axis_0"), val = tensor(1)]; tensor var_1740_cast_fp16_0, tensor var_1740_cast_fp16_1 = split(axis = var_1740_axis_0, split_sizes = var_1740_split_sizes_0, x = h_123_cast_fp16)[name = tensor("op_1740_cast_fp16")]; tensor var_1742_promoted_to_fp16 = const()[name = tensor("op_1742_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1743_cast_fp16 = add(x = var_1740_cast_fp16_0, y = var_1742_promoted_to_fp16)[name = tensor("op_1743_cast_fp16")]; tensor var_1746_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_1578_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_173_cast_fp16)[name = tensor("op_1746_cast_fp16")]; tensor var_1747_cast_fp16 = mul(x = var_1743_cast_fp16, y = var_1746_cast_fp16)[name = tensor("op_1747_cast_fp16")]; tensor xt_61_cast_fp16 = add(x = var_1747_cast_fp16, y = var_1740_cast_fp16_1)[name = tensor("xt_61_cast_fp16")]; tensor var_1750_to_fp16 = const()[name = tensor("op_1750_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46388480)))]; tensor var_1751_cast_fp16 = mul(x = xt_61_cast_fp16, y = var_1750_to_fp16)[name = tensor("op_1751_cast_fp16")]; tensor cv_41_cast_fp16 = cos(x = var_1751_cast_fp16)[name = tensor("cv_41_cast_fp16")]; tensor var_1753_to_fp16 = const()[name = tensor("op_1753_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1754_cast_fp16 = mul(x = cv_41_cast_fp16, y = var_1753_to_fp16)[name = tensor("op_1754_cast_fp16")]; tensor var_1755_to_fp16 = const()[name = tensor("op_1755_to_fp16"), val = tensor(0x1p-1)]; tensor var_1756_cast_fp16 = add(x = var_1754_cast_fp16, y = var_1755_to_fp16)[name = tensor("op_1756_cast_fp16")]; tensor var_1757_to_fp16 = const()[name = tensor("op_1757_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46388800)))]; tensor var_1760_cast_fp16 = mul(x = var_1756_cast_fp16, y = var_1757_to_fp16)[name = tensor("op_1760_cast_fp16")]; tensor input_175_cast_fp16 = add(x = xt_61_cast_fp16, y = var_1760_cast_fp16)[name = tensor("input_175_cast_fp16")]; tensor input_177_pad_type_0 = const()[name = tensor("input_177_pad_type_0"), val = tensor("custom")]; tensor input_177_pad_0 = const()[name = tensor("input_177_pad_0"), val = tensor([3, 3])]; tensor input_177_dilations_0 = const()[name = tensor("input_177_dilations_0"), val = tensor([3])]; tensor input_177_strides_0 = const()[name = tensor("input_177_strides_0"), val = tensor([1])]; tensor input_177_groups_0 = const()[name = tensor("input_177_groups_0"), val = tensor(1)]; tensor weight_139_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46389120))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46438336))), name = tensor("weight_139_to_fp16_palettized"), shape = tensor([128, 128, 3])]; tensor resblocks_3_convs1_1_bias_to_fp16 = const()[name = tensor("resblocks_3_convs1_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46438912)))]; tensor input_177_cast_fp16 = conv(bias = resblocks_3_convs1_1_bias_to_fp16, dilations = input_177_dilations_0, groups = input_177_groups_0, pad = input_177_pad_0, pad_type = input_177_pad_type_0, strides = input_177_strides_0, weight = weight_139_to_fp16_palettized, x = input_175_cast_fp16)[name = tensor("input_177_cast_fp16")]; tensor resblocks_3_adain2_1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46439232))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46472064))), name = tensor("resblocks_3_adain2_1_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_3_adain2_1_fc_bias_to_fp16 = const()[name = tensor("resblocks_3_adain2_1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46472640)))]; tensor linear_31_cast_fp16 = linear(bias = resblocks_3_adain2_1_fc_bias_to_fp16, weight = resblocks_3_adain2_1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_31_cast_fp16")]; tensor var_1776 = const()[name = tensor("op_1776"), val = tensor([1, 256, 1])]; tensor h_127_cast_fp16 = reshape(shape = var_1776, x = linear_31_cast_fp16)[name = tensor("h_127_cast_fp16")]; tensor var_1778_split_sizes_0 = const()[name = tensor("op_1778_split_sizes_0"), val = tensor([128, 128])]; tensor var_1778_axis_0 = const()[name = tensor("op_1778_axis_0"), val = tensor(1)]; tensor var_1778_cast_fp16_0, tensor var_1778_cast_fp16_1 = split(axis = var_1778_axis_0, split_sizes = var_1778_split_sizes_0, x = h_127_cast_fp16)[name = tensor("op_1778_cast_fp16")]; tensor var_1780_promoted_to_fp16 = const()[name = tensor("op_1780_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1781_cast_fp16 = add(x = var_1778_cast_fp16_0, y = var_1780_promoted_to_fp16)[name = tensor("op_1781_cast_fp16")]; tensor var_1784_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_1578_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_177_cast_fp16)[name = tensor("op_1784_cast_fp16")]; tensor var_1785_cast_fp16 = mul(x = var_1781_cast_fp16, y = var_1784_cast_fp16)[name = tensor("op_1785_cast_fp16")]; tensor xt_63_cast_fp16 = add(x = var_1785_cast_fp16, y = var_1778_cast_fp16_1)[name = tensor("xt_63_cast_fp16")]; tensor var_1788_to_fp16 = const()[name = tensor("op_1788_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46473216)))]; tensor var_1789_cast_fp16 = mul(x = xt_63_cast_fp16, y = var_1788_to_fp16)[name = tensor("op_1789_cast_fp16")]; tensor cv_43_cast_fp16 = cos(x = var_1789_cast_fp16)[name = tensor("cv_43_cast_fp16")]; tensor var_1791_to_fp16 = const()[name = tensor("op_1791_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1792_cast_fp16 = mul(x = cv_43_cast_fp16, y = var_1791_to_fp16)[name = tensor("op_1792_cast_fp16")]; tensor var_1793_to_fp16 = const()[name = tensor("op_1793_to_fp16"), val = tensor(0x1p-1)]; tensor var_1794_cast_fp16 = add(x = var_1792_cast_fp16, y = var_1793_to_fp16)[name = tensor("op_1794_cast_fp16")]; tensor var_1795_to_fp16 = const()[name = tensor("op_1795_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46473536)))]; tensor var_1798_cast_fp16 = mul(x = var_1794_cast_fp16, y = var_1795_to_fp16)[name = tensor("op_1798_cast_fp16")]; tensor input_179_cast_fp16 = add(x = xt_63_cast_fp16, y = var_1798_cast_fp16)[name = tensor("input_179_cast_fp16")]; tensor xt_65_pad_type_0 = const()[name = tensor("xt_65_pad_type_0"), val = tensor("custom")]; tensor xt_65_pad_0 = const()[name = tensor("xt_65_pad_0"), val = tensor([1, 1])]; tensor xt_65_strides_0 = const()[name = tensor("xt_65_strides_0"), val = tensor([1])]; tensor xt_65_dilations_0 = const()[name = tensor("xt_65_dilations_0"), val = tensor([1])]; tensor xt_65_groups_0 = const()[name = tensor("xt_65_groups_0"), val = tensor(1)]; tensor weight_143_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46473856))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46523072))), name = tensor("weight_143_to_fp16_palettized"), shape = tensor([128, 128, 3])]; tensor resblocks_3_convs2_1_bias_to_fp16 = const()[name = tensor("resblocks_3_convs2_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46523648)))]; tensor xt_65_cast_fp16 = conv(bias = resblocks_3_convs2_1_bias_to_fp16, dilations = xt_65_dilations_0, groups = xt_65_groups_0, pad = xt_65_pad_0, pad_type = xt_65_pad_type_0, strides = xt_65_strides_0, weight = weight_143_to_fp16_palettized, x = input_179_cast_fp16)[name = tensor("xt_65_cast_fp16")]; tensor input_181_cast_fp16 = add(x = xt_65_cast_fp16, y = input_173_cast_fp16)[name = tensor("input_181_cast_fp16")]; tensor resblocks_3_adain1_2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46523968))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46556800))), name = tensor("resblocks_3_adain1_2_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_3_adain1_2_fc_bias_to_fp16 = const()[name = tensor("resblocks_3_adain1_2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46557376)))]; tensor linear_32_cast_fp16 = linear(bias = resblocks_3_adain1_2_fc_bias_to_fp16, weight = resblocks_3_adain1_2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_32_cast_fp16")]; tensor var_1815 = const()[name = tensor("op_1815"), val = tensor([1, 256, 1])]; tensor h_131_cast_fp16 = reshape(shape = var_1815, x = linear_32_cast_fp16)[name = tensor("h_131_cast_fp16")]; tensor var_1817_split_sizes_0 = const()[name = tensor("op_1817_split_sizes_0"), val = tensor([128, 128])]; tensor var_1817_axis_0 = const()[name = tensor("op_1817_axis_0"), val = tensor(1)]; tensor var_1817_cast_fp16_0, tensor var_1817_cast_fp16_1 = split(axis = var_1817_axis_0, split_sizes = var_1817_split_sizes_0, x = h_131_cast_fp16)[name = tensor("op_1817_cast_fp16")]; tensor var_1819_promoted_to_fp16 = const()[name = tensor("op_1819_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1820_cast_fp16 = add(x = var_1817_cast_fp16_0, y = var_1819_promoted_to_fp16)[name = tensor("op_1820_cast_fp16")]; tensor var_1823_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_1578_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_181_cast_fp16)[name = tensor("op_1823_cast_fp16")]; tensor var_1824_cast_fp16 = mul(x = var_1820_cast_fp16, y = var_1823_cast_fp16)[name = tensor("op_1824_cast_fp16")]; tensor xt_67_cast_fp16 = add(x = var_1824_cast_fp16, y = var_1817_cast_fp16_1)[name = tensor("xt_67_cast_fp16")]; tensor var_1827_to_fp16 = const()[name = tensor("op_1827_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46557952)))]; tensor var_1828_cast_fp16 = mul(x = xt_67_cast_fp16, y = var_1827_to_fp16)[name = tensor("op_1828_cast_fp16")]; tensor cv_45_cast_fp16 = cos(x = var_1828_cast_fp16)[name = tensor("cv_45_cast_fp16")]; tensor var_1830_to_fp16 = const()[name = tensor("op_1830_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1831_cast_fp16 = mul(x = cv_45_cast_fp16, y = var_1830_to_fp16)[name = tensor("op_1831_cast_fp16")]; tensor var_1832_to_fp16 = const()[name = tensor("op_1832_to_fp16"), val = tensor(0x1p-1)]; tensor var_1833_cast_fp16 = add(x = var_1831_cast_fp16, y = var_1832_to_fp16)[name = tensor("op_1833_cast_fp16")]; tensor var_1834_to_fp16 = const()[name = tensor("op_1834_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46558272)))]; tensor var_1837_cast_fp16 = mul(x = var_1833_cast_fp16, y = var_1834_to_fp16)[name = tensor("op_1837_cast_fp16")]; tensor input_183_cast_fp16 = add(x = xt_67_cast_fp16, y = var_1837_cast_fp16)[name = tensor("input_183_cast_fp16")]; tensor input_185_pad_type_0 = const()[name = tensor("input_185_pad_type_0"), val = tensor("custom")]; tensor input_185_pad_0 = const()[name = tensor("input_185_pad_0"), val = tensor([5, 5])]; tensor input_185_dilations_0 = const()[name = tensor("input_185_dilations_0"), val = tensor([5])]; tensor input_185_strides_0 = const()[name = tensor("input_185_strides_0"), val = tensor([1])]; tensor input_185_groups_0 = const()[name = tensor("input_185_groups_0"), val = tensor(1)]; tensor weight_147_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46558592))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46607808))), name = tensor("weight_147_to_fp16_palettized"), shape = tensor([128, 128, 3])]; tensor resblocks_3_convs1_2_bias_to_fp16 = const()[name = tensor("resblocks_3_convs1_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46608384)))]; tensor input_185_cast_fp16 = conv(bias = resblocks_3_convs1_2_bias_to_fp16, dilations = input_185_dilations_0, groups = input_185_groups_0, pad = input_185_pad_0, pad_type = input_185_pad_type_0, strides = input_185_strides_0, weight = weight_147_to_fp16_palettized, x = input_183_cast_fp16)[name = tensor("input_185_cast_fp16")]; tensor resblocks_3_adain2_2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46608704))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46641536))), name = tensor("resblocks_3_adain2_2_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_3_adain2_2_fc_bias_to_fp16 = const()[name = tensor("resblocks_3_adain2_2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46642112)))]; tensor linear_33_cast_fp16 = linear(bias = resblocks_3_adain2_2_fc_bias_to_fp16, weight = resblocks_3_adain2_2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_33_cast_fp16")]; tensor var_1853 = const()[name = tensor("op_1853"), val = tensor([1, 256, 1])]; tensor h_135_cast_fp16 = reshape(shape = var_1853, x = linear_33_cast_fp16)[name = tensor("h_135_cast_fp16")]; tensor var_1855_split_sizes_0 = const()[name = tensor("op_1855_split_sizes_0"), val = tensor([128, 128])]; tensor var_1855_axis_0 = const()[name = tensor("op_1855_axis_0"), val = tensor(1)]; tensor var_1855_cast_fp16_0, tensor var_1855_cast_fp16_1 = split(axis = var_1855_axis_0, split_sizes = var_1855_split_sizes_0, x = h_135_cast_fp16)[name = tensor("op_1855_cast_fp16")]; tensor var_1857_promoted_to_fp16 = const()[name = tensor("op_1857_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1858_cast_fp16 = add(x = var_1855_cast_fp16_0, y = var_1857_promoted_to_fp16)[name = tensor("op_1858_cast_fp16")]; tensor var_1861_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_1578_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_185_cast_fp16)[name = tensor("op_1861_cast_fp16")]; tensor var_1862_cast_fp16 = mul(x = var_1858_cast_fp16, y = var_1861_cast_fp16)[name = tensor("op_1862_cast_fp16")]; tensor xt_69_cast_fp16 = add(x = var_1862_cast_fp16, y = var_1855_cast_fp16_1)[name = tensor("xt_69_cast_fp16")]; tensor var_1865_to_fp16 = const()[name = tensor("op_1865_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46642688)))]; tensor var_1866_cast_fp16 = mul(x = xt_69_cast_fp16, y = var_1865_to_fp16)[name = tensor("op_1866_cast_fp16")]; tensor cv_47_cast_fp16 = cos(x = var_1866_cast_fp16)[name = tensor("cv_47_cast_fp16")]; tensor var_1868_to_fp16 = const()[name = tensor("op_1868_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1869_cast_fp16 = mul(x = cv_47_cast_fp16, y = var_1868_to_fp16)[name = tensor("op_1869_cast_fp16")]; tensor var_1870_to_fp16 = const()[name = tensor("op_1870_to_fp16"), val = tensor(0x1p-1)]; tensor var_1871_cast_fp16 = add(x = var_1869_cast_fp16, y = var_1870_to_fp16)[name = tensor("op_1871_cast_fp16")]; tensor var_1872_to_fp16 = const()[name = tensor("op_1872_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46643008)))]; tensor var_1875_cast_fp16 = mul(x = var_1871_cast_fp16, y = var_1872_to_fp16)[name = tensor("op_1875_cast_fp16")]; tensor input_187_cast_fp16 = add(x = xt_69_cast_fp16, y = var_1875_cast_fp16)[name = tensor("input_187_cast_fp16")]; tensor xt_71_pad_type_0 = const()[name = tensor("xt_71_pad_type_0"), val = tensor("custom")]; tensor xt_71_pad_0 = const()[name = tensor("xt_71_pad_0"), val = tensor([1, 1])]; tensor xt_71_strides_0 = const()[name = tensor("xt_71_strides_0"), val = tensor([1])]; tensor xt_71_dilations_0 = const()[name = tensor("xt_71_dilations_0"), val = tensor([1])]; tensor xt_71_groups_0 = const()[name = tensor("xt_71_groups_0"), val = tensor(1)]; tensor weight_151_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46643328))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46692544))), name = tensor("weight_151_to_fp16_palettized"), shape = tensor([128, 128, 3])]; tensor resblocks_3_convs2_2_bias_to_fp16 = const()[name = tensor("resblocks_3_convs2_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46693120)))]; tensor xt_71_cast_fp16 = conv(bias = resblocks_3_convs2_2_bias_to_fp16, dilations = xt_71_dilations_0, groups = xt_71_groups_0, pad = xt_71_pad_0, pad_type = xt_71_pad_type_0, strides = xt_71_strides_0, weight = weight_151_to_fp16_palettized, x = input_187_cast_fp16)[name = tensor("xt_71_cast_fp16")]; tensor xs_7_cast_fp16 = add(x = xt_71_cast_fp16, y = input_181_cast_fp16)[name = tensor("xs_7_cast_fp16")]; tensor resblocks_4_adain1_0_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46693440))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46726272))), name = tensor("resblocks_4_adain1_0_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_4_adain1_0_fc_bias_to_fp16 = const()[name = tensor("resblocks_4_adain1_0_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46726848)))]; tensor linear_34_cast_fp16 = linear(bias = resblocks_4_adain1_0_fc_bias_to_fp16, weight = resblocks_4_adain1_0_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_34_cast_fp16")]; tensor var_1975 = const()[name = tensor("op_1975"), val = tensor([1, 256, 1])]; tensor h_139_cast_fp16 = reshape(shape = var_1975, x = linear_34_cast_fp16)[name = tensor("h_139_cast_fp16")]; tensor var_1977_split_sizes_0 = const()[name = tensor("op_1977_split_sizes_0"), val = tensor([128, 128])]; tensor var_1977_axis_0 = const()[name = tensor("op_1977_axis_0"), val = tensor(1)]; tensor var_1977_cast_fp16_0, tensor var_1977_cast_fp16_1 = split(axis = var_1977_axis_0, split_sizes = var_1977_split_sizes_0, x = h_139_cast_fp16)[name = tensor("op_1977_cast_fp16")]; tensor var_1979_promoted_to_fp16 = const()[name = tensor("op_1979_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_1980_cast_fp16 = add(x = var_1977_cast_fp16_0, y = var_1979_promoted_to_fp16)[name = tensor("op_1980_cast_fp16")]; tensor var_1984_cast_fp16 = mul(x = var_1980_cast_fp16, y = var_1669_cast_fp16)[name = tensor("op_1984_cast_fp16")]; tensor xt_73_cast_fp16 = add(x = var_1984_cast_fp16, y = var_1977_cast_fp16_1)[name = tensor("xt_73_cast_fp16")]; tensor var_1987_to_fp16 = const()[name = tensor("op_1987_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46727424)))]; tensor var_1988_cast_fp16 = mul(x = xt_73_cast_fp16, y = var_1987_to_fp16)[name = tensor("op_1988_cast_fp16")]; tensor cv_49_cast_fp16 = cos(x = var_1988_cast_fp16)[name = tensor("cv_49_cast_fp16")]; tensor var_1990_to_fp16 = const()[name = tensor("op_1990_to_fp16"), val = tensor(-0x1p-1)]; tensor var_1991_cast_fp16 = mul(x = cv_49_cast_fp16, y = var_1990_to_fp16)[name = tensor("op_1991_cast_fp16")]; tensor var_1992_to_fp16 = const()[name = tensor("op_1992_to_fp16"), val = tensor(0x1p-1)]; tensor var_1993_cast_fp16 = add(x = var_1991_cast_fp16, y = var_1992_to_fp16)[name = tensor("op_1993_cast_fp16")]; tensor var_1994_to_fp16 = const()[name = tensor("op_1994_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46727744)))]; tensor var_1997_cast_fp16 = mul(x = var_1993_cast_fp16, y = var_1994_to_fp16)[name = tensor("op_1997_cast_fp16")]; tensor input_189_cast_fp16 = add(x = xt_73_cast_fp16, y = var_1997_cast_fp16)[name = tensor("input_189_cast_fp16")]; tensor input_191_pad_type_0 = const()[name = tensor("input_191_pad_type_0"), val = tensor("custom")]; tensor input_191_pad_0 = const()[name = tensor("input_191_pad_0"), val = tensor([3, 3])]; tensor input_191_strides_0 = const()[name = tensor("input_191_strides_0"), val = tensor([1])]; tensor input_191_dilations_0 = const()[name = tensor("input_191_dilations_0"), val = tensor([1])]; tensor input_191_groups_0 = const()[name = tensor("input_191_groups_0"), val = tensor(1)]; tensor weight_155_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46728064))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46842816))), name = tensor("weight_155_to_fp16_palettized"), shape = tensor([128, 128, 7])]; tensor resblocks_4_convs1_0_bias_to_fp16 = const()[name = tensor("resblocks_4_convs1_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46843392)))]; tensor input_191_cast_fp16 = conv(bias = resblocks_4_convs1_0_bias_to_fp16, dilations = input_191_dilations_0, groups = input_191_groups_0, pad = input_191_pad_0, pad_type = input_191_pad_type_0, strides = input_191_strides_0, weight = weight_155_to_fp16_palettized, x = input_189_cast_fp16)[name = tensor("input_191_cast_fp16")]; tensor resblocks_4_adain2_0_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46843712))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46876544))), name = tensor("resblocks_4_adain2_0_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_4_adain2_0_fc_bias_to_fp16 = const()[name = tensor("resblocks_4_adain2_0_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46877120)))]; tensor linear_35_cast_fp16 = linear(bias = resblocks_4_adain2_0_fc_bias_to_fp16, weight = resblocks_4_adain2_0_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_35_cast_fp16")]; tensor var_2013 = const()[name = tensor("op_2013"), val = tensor([1, 256, 1])]; tensor h_143_cast_fp16 = reshape(shape = var_2013, x = linear_35_cast_fp16)[name = tensor("h_143_cast_fp16")]; tensor var_2015_split_sizes_0 = const()[name = tensor("op_2015_split_sizes_0"), val = tensor([128, 128])]; tensor var_2015_axis_0 = const()[name = tensor("op_2015_axis_0"), val = tensor(1)]; tensor var_2015_cast_fp16_0, tensor var_2015_cast_fp16_1 = split(axis = var_2015_axis_0, split_sizes = var_2015_split_sizes_0, x = h_143_cast_fp16)[name = tensor("op_2015_cast_fp16")]; tensor var_2017_promoted_to_fp16 = const()[name = tensor("op_2017_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_2018_cast_fp16 = add(x = var_2015_cast_fp16_0, y = var_2017_promoted_to_fp16)[name = tensor("op_2018_cast_fp16")]; tensor var_1892_to_fp16 = const()[name = tensor("op_1892_to_fp16"), val = tensor(0x1.5p-17)]; tensor var_2021_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_1892_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_191_cast_fp16)[name = tensor("op_2021_cast_fp16")]; tensor var_2022_cast_fp16 = mul(x = var_2018_cast_fp16, y = var_2021_cast_fp16)[name = tensor("op_2022_cast_fp16")]; tensor xt_75_cast_fp16 = add(x = var_2022_cast_fp16, y = var_2015_cast_fp16_1)[name = tensor("xt_75_cast_fp16")]; tensor var_2025_to_fp16 = const()[name = tensor("op_2025_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46877696)))]; tensor var_2026_cast_fp16 = mul(x = xt_75_cast_fp16, y = var_2025_to_fp16)[name = tensor("op_2026_cast_fp16")]; tensor cv_51_cast_fp16 = cos(x = var_2026_cast_fp16)[name = tensor("cv_51_cast_fp16")]; tensor var_2028_to_fp16 = const()[name = tensor("op_2028_to_fp16"), val = tensor(-0x1p-1)]; tensor var_2029_cast_fp16 = mul(x = cv_51_cast_fp16, y = var_2028_to_fp16)[name = tensor("op_2029_cast_fp16")]; tensor var_2030_to_fp16 = const()[name = tensor("op_2030_to_fp16"), val = tensor(0x1p-1)]; tensor var_2031_cast_fp16 = add(x = var_2029_cast_fp16, y = var_2030_to_fp16)[name = tensor("op_2031_cast_fp16")]; tensor var_2032_to_fp16 = const()[name = tensor("op_2032_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46878016)))]; tensor var_2035_cast_fp16 = mul(x = var_2031_cast_fp16, y = var_2032_to_fp16)[name = tensor("op_2035_cast_fp16")]; tensor input_193_cast_fp16 = add(x = xt_75_cast_fp16, y = var_2035_cast_fp16)[name = tensor("input_193_cast_fp16")]; tensor xt_77_pad_type_0 = const()[name = tensor("xt_77_pad_type_0"), val = tensor("custom")]; tensor xt_77_pad_0 = const()[name = tensor("xt_77_pad_0"), val = tensor([3, 3])]; tensor xt_77_strides_0 = const()[name = tensor("xt_77_strides_0"), val = tensor([1])]; tensor xt_77_dilations_0 = const()[name = tensor("xt_77_dilations_0"), val = tensor([1])]; tensor xt_77_groups_0 = const()[name = tensor("xt_77_groups_0"), val = tensor(1)]; tensor weight_159_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46878336))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46993088))), name = tensor("weight_159_to_fp16_palettized"), shape = tensor([128, 128, 7])]; tensor resblocks_4_convs2_0_bias_to_fp16 = const()[name = tensor("resblocks_4_convs2_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46993664)))]; tensor xt_77_cast_fp16 = conv(bias = resblocks_4_convs2_0_bias_to_fp16, dilations = xt_77_dilations_0, groups = xt_77_groups_0, pad = xt_77_pad_0, pad_type = xt_77_pad_type_0, strides = xt_77_strides_0, weight = weight_159_to_fp16_palettized, x = input_193_cast_fp16)[name = tensor("xt_77_cast_fp16")]; tensor input_195_cast_fp16 = add(x = xt_77_cast_fp16, y = input_165_cast_fp16)[name = tensor("input_195_cast_fp16")]; tensor resblocks_4_adain1_1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(46993984))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47026816))), name = tensor("resblocks_4_adain1_1_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_4_adain1_1_fc_bias_to_fp16 = const()[name = tensor("resblocks_4_adain1_1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47027392)))]; tensor linear_36_cast_fp16 = linear(bias = resblocks_4_adain1_1_fc_bias_to_fp16, weight = resblocks_4_adain1_1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_36_cast_fp16")]; tensor var_2052 = const()[name = tensor("op_2052"), val = tensor([1, 256, 1])]; tensor h_147_cast_fp16 = reshape(shape = var_2052, x = linear_36_cast_fp16)[name = tensor("h_147_cast_fp16")]; tensor var_2054_split_sizes_0 = const()[name = tensor("op_2054_split_sizes_0"), val = tensor([128, 128])]; tensor var_2054_axis_0 = const()[name = tensor("op_2054_axis_0"), val = tensor(1)]; tensor var_2054_cast_fp16_0, tensor var_2054_cast_fp16_1 = split(axis = var_2054_axis_0, split_sizes = var_2054_split_sizes_0, x = h_147_cast_fp16)[name = tensor("op_2054_cast_fp16")]; tensor var_2056_promoted_to_fp16 = const()[name = tensor("op_2056_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_2057_cast_fp16 = add(x = var_2054_cast_fp16_0, y = var_2056_promoted_to_fp16)[name = tensor("op_2057_cast_fp16")]; tensor var_2060_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_1892_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_195_cast_fp16)[name = tensor("op_2060_cast_fp16")]; tensor var_2061_cast_fp16 = mul(x = var_2057_cast_fp16, y = var_2060_cast_fp16)[name = tensor("op_2061_cast_fp16")]; tensor xt_79_cast_fp16 = add(x = var_2061_cast_fp16, y = var_2054_cast_fp16_1)[name = tensor("xt_79_cast_fp16")]; tensor var_2064_to_fp16 = const()[name = tensor("op_2064_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47027968)))]; tensor var_2065_cast_fp16 = mul(x = xt_79_cast_fp16, y = var_2064_to_fp16)[name = tensor("op_2065_cast_fp16")]; tensor cv_53_cast_fp16 = cos(x = var_2065_cast_fp16)[name = tensor("cv_53_cast_fp16")]; tensor var_2067_to_fp16 = const()[name = tensor("op_2067_to_fp16"), val = tensor(-0x1p-1)]; tensor var_2068_cast_fp16 = mul(x = cv_53_cast_fp16, y = var_2067_to_fp16)[name = tensor("op_2068_cast_fp16")]; tensor var_2069_to_fp16 = const()[name = tensor("op_2069_to_fp16"), val = tensor(0x1p-1)]; tensor var_2070_cast_fp16 = add(x = var_2068_cast_fp16, y = var_2069_to_fp16)[name = tensor("op_2070_cast_fp16")]; tensor var_2071_to_fp16 = const()[name = tensor("op_2071_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47028288)))]; tensor var_2074_cast_fp16 = mul(x = var_2070_cast_fp16, y = var_2071_to_fp16)[name = tensor("op_2074_cast_fp16")]; tensor input_197_cast_fp16 = add(x = xt_79_cast_fp16, y = var_2074_cast_fp16)[name = tensor("input_197_cast_fp16")]; tensor input_199_pad_type_0 = const()[name = tensor("input_199_pad_type_0"), val = tensor("custom")]; tensor input_199_pad_0 = const()[name = tensor("input_199_pad_0"), val = tensor([9, 9])]; tensor input_199_dilations_0 = const()[name = tensor("input_199_dilations_0"), val = tensor([3])]; tensor input_199_strides_0 = const()[name = tensor("input_199_strides_0"), val = tensor([1])]; tensor input_199_groups_0 = const()[name = tensor("input_199_groups_0"), val = tensor(1)]; tensor weight_163_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47028608))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47143360))), name = tensor("weight_163_to_fp16_palettized"), shape = tensor([128, 128, 7])]; tensor resblocks_4_convs1_1_bias_to_fp16 = const()[name = tensor("resblocks_4_convs1_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47143936)))]; tensor input_199_cast_fp16 = conv(bias = resblocks_4_convs1_1_bias_to_fp16, dilations = input_199_dilations_0, groups = input_199_groups_0, pad = input_199_pad_0, pad_type = input_199_pad_type_0, strides = input_199_strides_0, weight = weight_163_to_fp16_palettized, x = input_197_cast_fp16)[name = tensor("input_199_cast_fp16")]; tensor resblocks_4_adain2_1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47144256))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47177088))), name = tensor("resblocks_4_adain2_1_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_4_adain2_1_fc_bias_to_fp16 = const()[name = tensor("resblocks_4_adain2_1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47177664)))]; tensor linear_37_cast_fp16 = linear(bias = resblocks_4_adain2_1_fc_bias_to_fp16, weight = resblocks_4_adain2_1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_37_cast_fp16")]; tensor var_2090 = const()[name = tensor("op_2090"), val = tensor([1, 256, 1])]; tensor h_151_cast_fp16 = reshape(shape = var_2090, x = linear_37_cast_fp16)[name = tensor("h_151_cast_fp16")]; tensor var_2092_split_sizes_0 = const()[name = tensor("op_2092_split_sizes_0"), val = tensor([128, 128])]; tensor var_2092_axis_0 = const()[name = tensor("op_2092_axis_0"), val = tensor(1)]; tensor var_2092_cast_fp16_0, tensor var_2092_cast_fp16_1 = split(axis = var_2092_axis_0, split_sizes = var_2092_split_sizes_0, x = h_151_cast_fp16)[name = tensor("op_2092_cast_fp16")]; tensor var_2094_promoted_to_fp16 = const()[name = tensor("op_2094_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_2095_cast_fp16 = add(x = var_2092_cast_fp16_0, y = var_2094_promoted_to_fp16)[name = tensor("op_2095_cast_fp16")]; tensor var_2098_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_1892_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_199_cast_fp16)[name = tensor("op_2098_cast_fp16")]; tensor var_2099_cast_fp16 = mul(x = var_2095_cast_fp16, y = var_2098_cast_fp16)[name = tensor("op_2099_cast_fp16")]; tensor xt_81_cast_fp16 = add(x = var_2099_cast_fp16, y = var_2092_cast_fp16_1)[name = tensor("xt_81_cast_fp16")]; tensor var_2102_to_fp16 = const()[name = tensor("op_2102_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47178240)))]; tensor var_2103_cast_fp16 = mul(x = xt_81_cast_fp16, y = var_2102_to_fp16)[name = tensor("op_2103_cast_fp16")]; tensor cv_55_cast_fp16 = cos(x = var_2103_cast_fp16)[name = tensor("cv_55_cast_fp16")]; tensor var_2105_to_fp16 = const()[name = tensor("op_2105_to_fp16"), val = tensor(-0x1p-1)]; tensor var_2106_cast_fp16 = mul(x = cv_55_cast_fp16, y = var_2105_to_fp16)[name = tensor("op_2106_cast_fp16")]; tensor var_2107_to_fp16 = const()[name = tensor("op_2107_to_fp16"), val = tensor(0x1p-1)]; tensor var_2108_cast_fp16 = add(x = var_2106_cast_fp16, y = var_2107_to_fp16)[name = tensor("op_2108_cast_fp16")]; tensor var_2109_to_fp16 = const()[name = tensor("op_2109_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47178560)))]; tensor var_2112_cast_fp16 = mul(x = var_2108_cast_fp16, y = var_2109_to_fp16)[name = tensor("op_2112_cast_fp16")]; tensor input_201_cast_fp16 = add(x = xt_81_cast_fp16, y = var_2112_cast_fp16)[name = tensor("input_201_cast_fp16")]; tensor xt_83_pad_type_0 = const()[name = tensor("xt_83_pad_type_0"), val = tensor("custom")]; tensor xt_83_pad_0 = const()[name = tensor("xt_83_pad_0"), val = tensor([3, 3])]; tensor xt_83_strides_0 = const()[name = tensor("xt_83_strides_0"), val = tensor([1])]; tensor xt_83_dilations_0 = const()[name = tensor("xt_83_dilations_0"), val = tensor([1])]; tensor xt_83_groups_0 = const()[name = tensor("xt_83_groups_0"), val = tensor(1)]; tensor weight_167_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47178880))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47293632))), name = tensor("weight_167_to_fp16_palettized"), shape = tensor([128, 128, 7])]; tensor resblocks_4_convs2_1_bias_to_fp16 = const()[name = tensor("resblocks_4_convs2_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47294208)))]; tensor xt_83_cast_fp16 = conv(bias = resblocks_4_convs2_1_bias_to_fp16, dilations = xt_83_dilations_0, groups = xt_83_groups_0, pad = xt_83_pad_0, pad_type = xt_83_pad_type_0, strides = xt_83_strides_0, weight = weight_167_to_fp16_palettized, x = input_201_cast_fp16)[name = tensor("xt_83_cast_fp16")]; tensor input_203_cast_fp16 = add(x = xt_83_cast_fp16, y = input_195_cast_fp16)[name = tensor("input_203_cast_fp16")]; tensor resblocks_4_adain1_2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47294528))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47327360))), name = tensor("resblocks_4_adain1_2_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_4_adain1_2_fc_bias_to_fp16 = const()[name = tensor("resblocks_4_adain1_2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47327936)))]; tensor linear_38_cast_fp16 = linear(bias = resblocks_4_adain1_2_fc_bias_to_fp16, weight = resblocks_4_adain1_2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_38_cast_fp16")]; tensor var_2129 = const()[name = tensor("op_2129"), val = tensor([1, 256, 1])]; tensor h_155_cast_fp16 = reshape(shape = var_2129, x = linear_38_cast_fp16)[name = tensor("h_155_cast_fp16")]; tensor var_2131_split_sizes_0 = const()[name = tensor("op_2131_split_sizes_0"), val = tensor([128, 128])]; tensor var_2131_axis_0 = const()[name = tensor("op_2131_axis_0"), val = tensor(1)]; tensor var_2131_cast_fp16_0, tensor var_2131_cast_fp16_1 = split(axis = var_2131_axis_0, split_sizes = var_2131_split_sizes_0, x = h_155_cast_fp16)[name = tensor("op_2131_cast_fp16")]; tensor var_2133_promoted_to_fp16 = const()[name = tensor("op_2133_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_2134_cast_fp16 = add(x = var_2131_cast_fp16_0, y = var_2133_promoted_to_fp16)[name = tensor("op_2134_cast_fp16")]; tensor var_2137_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_1892_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_203_cast_fp16)[name = tensor("op_2137_cast_fp16")]; tensor var_2138_cast_fp16 = mul(x = var_2134_cast_fp16, y = var_2137_cast_fp16)[name = tensor("op_2138_cast_fp16")]; tensor xt_85_cast_fp16 = add(x = var_2138_cast_fp16, y = var_2131_cast_fp16_1)[name = tensor("xt_85_cast_fp16")]; tensor var_2141_to_fp16 = const()[name = tensor("op_2141_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47328512)))]; tensor var_2142_cast_fp16 = mul(x = xt_85_cast_fp16, y = var_2141_to_fp16)[name = tensor("op_2142_cast_fp16")]; tensor cv_57_cast_fp16 = cos(x = var_2142_cast_fp16)[name = tensor("cv_57_cast_fp16")]; tensor var_2144_to_fp16 = const()[name = tensor("op_2144_to_fp16"), val = tensor(-0x1p-1)]; tensor var_2145_cast_fp16 = mul(x = cv_57_cast_fp16, y = var_2144_to_fp16)[name = tensor("op_2145_cast_fp16")]; tensor var_2146_to_fp16 = const()[name = tensor("op_2146_to_fp16"), val = tensor(0x1p-1)]; tensor var_2147_cast_fp16 = add(x = var_2145_cast_fp16, y = var_2146_to_fp16)[name = tensor("op_2147_cast_fp16")]; tensor var_2148_to_fp16 = const()[name = tensor("op_2148_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47328832)))]; tensor var_2151_cast_fp16 = mul(x = var_2147_cast_fp16, y = var_2148_to_fp16)[name = tensor("op_2151_cast_fp16")]; tensor input_205_cast_fp16 = add(x = xt_85_cast_fp16, y = var_2151_cast_fp16)[name = tensor("input_205_cast_fp16")]; tensor input_207_pad_type_0 = const()[name = tensor("input_207_pad_type_0"), val = tensor("custom")]; tensor input_207_pad_0 = const()[name = tensor("input_207_pad_0"), val = tensor([15, 15])]; tensor input_207_dilations_0 = const()[name = tensor("input_207_dilations_0"), val = tensor([5])]; tensor input_207_strides_0 = const()[name = tensor("input_207_strides_0"), val = tensor([1])]; tensor input_207_groups_0 = const()[name = tensor("input_207_groups_0"), val = tensor(1)]; tensor weight_171_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47329152))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47443904))), name = tensor("weight_171_to_fp16_palettized"), shape = tensor([128, 128, 7])]; tensor resblocks_4_convs1_2_bias_to_fp16 = const()[name = tensor("resblocks_4_convs1_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47444480)))]; tensor input_207_cast_fp16 = conv(bias = resblocks_4_convs1_2_bias_to_fp16, dilations = input_207_dilations_0, groups = input_207_groups_0, pad = input_207_pad_0, pad_type = input_207_pad_type_0, strides = input_207_strides_0, weight = weight_171_to_fp16_palettized, x = input_205_cast_fp16)[name = tensor("input_207_cast_fp16")]; tensor resblocks_4_adain2_2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47444800))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47477632))), name = tensor("resblocks_4_adain2_2_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_4_adain2_2_fc_bias_to_fp16 = const()[name = tensor("resblocks_4_adain2_2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47478208)))]; tensor linear_39_cast_fp16 = linear(bias = resblocks_4_adain2_2_fc_bias_to_fp16, weight = resblocks_4_adain2_2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_39_cast_fp16")]; tensor var_2167 = const()[name = tensor("op_2167"), val = tensor([1, 256, 1])]; tensor h_159_cast_fp16 = reshape(shape = var_2167, x = linear_39_cast_fp16)[name = tensor("h_159_cast_fp16")]; tensor var_2169_split_sizes_0 = const()[name = tensor("op_2169_split_sizes_0"), val = tensor([128, 128])]; tensor var_2169_axis_0 = const()[name = tensor("op_2169_axis_0"), val = tensor(1)]; tensor var_2169_cast_fp16_0, tensor var_2169_cast_fp16_1 = split(axis = var_2169_axis_0, split_sizes = var_2169_split_sizes_0, x = h_159_cast_fp16)[name = tensor("op_2169_cast_fp16")]; tensor var_2171_promoted_to_fp16 = const()[name = tensor("op_2171_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_2172_cast_fp16 = add(x = var_2169_cast_fp16_0, y = var_2171_promoted_to_fp16)[name = tensor("op_2172_cast_fp16")]; tensor var_2175_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_1892_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_207_cast_fp16)[name = tensor("op_2175_cast_fp16")]; tensor var_2176_cast_fp16 = mul(x = var_2172_cast_fp16, y = var_2175_cast_fp16)[name = tensor("op_2176_cast_fp16")]; tensor xt_87_cast_fp16 = add(x = var_2176_cast_fp16, y = var_2169_cast_fp16_1)[name = tensor("xt_87_cast_fp16")]; tensor var_2179_to_fp16 = const()[name = tensor("op_2179_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47478784)))]; tensor var_2180_cast_fp16 = mul(x = xt_87_cast_fp16, y = var_2179_to_fp16)[name = tensor("op_2180_cast_fp16")]; tensor cv_59_cast_fp16 = cos(x = var_2180_cast_fp16)[name = tensor("cv_59_cast_fp16")]; tensor var_2182_to_fp16 = const()[name = tensor("op_2182_to_fp16"), val = tensor(-0x1p-1)]; tensor var_2183_cast_fp16 = mul(x = cv_59_cast_fp16, y = var_2182_to_fp16)[name = tensor("op_2183_cast_fp16")]; tensor var_2184_to_fp16 = const()[name = tensor("op_2184_to_fp16"), val = tensor(0x1p-1)]; tensor var_2185_cast_fp16 = add(x = var_2183_cast_fp16, y = var_2184_to_fp16)[name = tensor("op_2185_cast_fp16")]; tensor var_2186_to_fp16 = const()[name = tensor("op_2186_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47479104)))]; tensor var_2189_cast_fp16 = mul(x = var_2185_cast_fp16, y = var_2186_to_fp16)[name = tensor("op_2189_cast_fp16")]; tensor input_209_cast_fp16 = add(x = xt_87_cast_fp16, y = var_2189_cast_fp16)[name = tensor("input_209_cast_fp16")]; tensor xt_89_pad_type_0 = const()[name = tensor("xt_89_pad_type_0"), val = tensor("custom")]; tensor xt_89_pad_0 = const()[name = tensor("xt_89_pad_0"), val = tensor([3, 3])]; tensor xt_89_strides_0 = const()[name = tensor("xt_89_strides_0"), val = tensor([1])]; tensor xt_89_dilations_0 = const()[name = tensor("xt_89_dilations_0"), val = tensor([1])]; tensor xt_89_groups_0 = const()[name = tensor("xt_89_groups_0"), val = tensor(1)]; tensor weight_175_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47479424))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47594176))), name = tensor("weight_175_to_fp16_palettized"), shape = tensor([128, 128, 7])]; tensor resblocks_4_convs2_2_bias_to_fp16 = const()[name = tensor("resblocks_4_convs2_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47594752)))]; tensor xt_89_cast_fp16 = conv(bias = resblocks_4_convs2_2_bias_to_fp16, dilations = xt_89_dilations_0, groups = xt_89_groups_0, pad = xt_89_pad_0, pad_type = xt_89_pad_type_0, strides = xt_89_strides_0, weight = weight_175_to_fp16_palettized, x = input_209_cast_fp16)[name = tensor("xt_89_cast_fp16")]; tensor var_2198_cast_fp16 = add(x = xt_89_cast_fp16, y = input_203_cast_fp16)[name = tensor("op_2198_cast_fp16")]; tensor xs_9_cast_fp16 = add(x = xs_7_cast_fp16, y = var_2198_cast_fp16)[name = tensor("xs_9_cast_fp16")]; tensor resblocks_5_adain1_0_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47595072))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47627904))), name = tensor("resblocks_5_adain1_0_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_5_adain1_0_fc_bias_to_fp16 = const()[name = tensor("resblocks_5_adain1_0_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47628480)))]; tensor linear_40_cast_fp16 = linear(bias = resblocks_5_adain1_0_fc_bias_to_fp16, weight = resblocks_5_adain1_0_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_40_cast_fp16")]; tensor var_2291 = const()[name = tensor("op_2291"), val = tensor([1, 256, 1])]; tensor h_163_cast_fp16 = reshape(shape = var_2291, x = linear_40_cast_fp16)[name = tensor("h_163_cast_fp16")]; tensor var_2293_split_sizes_0 = const()[name = tensor("op_2293_split_sizes_0"), val = tensor([128, 128])]; tensor var_2293_axis_0 = const()[name = tensor("op_2293_axis_0"), val = tensor(1)]; tensor var_2293_cast_fp16_0, tensor var_2293_cast_fp16_1 = split(axis = var_2293_axis_0, split_sizes = var_2293_split_sizes_0, x = h_163_cast_fp16)[name = tensor("op_2293_cast_fp16")]; tensor var_2295_promoted_to_fp16 = const()[name = tensor("op_2295_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_2296_cast_fp16 = add(x = var_2293_cast_fp16_0, y = var_2295_promoted_to_fp16)[name = tensor("op_2296_cast_fp16")]; tensor var_2300_cast_fp16 = mul(x = var_2296_cast_fp16, y = var_1669_cast_fp16)[name = tensor("op_2300_cast_fp16")]; tensor xt_91_cast_fp16 = add(x = var_2300_cast_fp16, y = var_2293_cast_fp16_1)[name = tensor("xt_91_cast_fp16")]; tensor var_2303_to_fp16 = const()[name = tensor("op_2303_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47629056)))]; tensor var_2304_cast_fp16 = mul(x = xt_91_cast_fp16, y = var_2303_to_fp16)[name = tensor("op_2304_cast_fp16")]; tensor cv_61_cast_fp16 = cos(x = var_2304_cast_fp16)[name = tensor("cv_61_cast_fp16")]; tensor var_2306_to_fp16 = const()[name = tensor("op_2306_to_fp16"), val = tensor(-0x1p-1)]; tensor var_2307_cast_fp16 = mul(x = cv_61_cast_fp16, y = var_2306_to_fp16)[name = tensor("op_2307_cast_fp16")]; tensor var_2308_to_fp16 = const()[name = tensor("op_2308_to_fp16"), val = tensor(0x1p-1)]; tensor var_2309_cast_fp16 = add(x = var_2307_cast_fp16, y = var_2308_to_fp16)[name = tensor("op_2309_cast_fp16")]; tensor var_2310_to_fp16 = const()[name = tensor("op_2310_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47629376)))]; tensor var_2313_cast_fp16 = mul(x = var_2309_cast_fp16, y = var_2310_to_fp16)[name = tensor("op_2313_cast_fp16")]; tensor input_211_cast_fp16 = add(x = xt_91_cast_fp16, y = var_2313_cast_fp16)[name = tensor("input_211_cast_fp16")]; tensor input_213_pad_type_0 = const()[name = tensor("input_213_pad_type_0"), val = tensor("custom")]; tensor input_213_pad_0 = const()[name = tensor("input_213_pad_0"), val = tensor([5, 5])]; tensor input_213_strides_0 = const()[name = tensor("input_213_strides_0"), val = tensor([1])]; tensor input_213_dilations_0 = const()[name = tensor("input_213_dilations_0"), val = tensor([1])]; tensor input_213_groups_0 = const()[name = tensor("input_213_groups_0"), val = tensor(1)]; tensor weight_179_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47629696))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47809984))), name = tensor("weight_179_to_fp16_palettized"), shape = tensor([128, 128, 11])]; tensor resblocks_5_convs1_0_bias_to_fp16 = const()[name = tensor("resblocks_5_convs1_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47810560)))]; tensor input_213_cast_fp16 = conv(bias = resblocks_5_convs1_0_bias_to_fp16, dilations = input_213_dilations_0, groups = input_213_groups_0, pad = input_213_pad_0, pad_type = input_213_pad_type_0, strides = input_213_strides_0, weight = weight_179_to_fp16_palettized, x = input_211_cast_fp16)[name = tensor("input_213_cast_fp16")]; tensor resblocks_5_adain2_0_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47810880))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47843712))), name = tensor("resblocks_5_adain2_0_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_5_adain2_0_fc_bias_to_fp16 = const()[name = tensor("resblocks_5_adain2_0_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47844288)))]; tensor linear_41_cast_fp16 = linear(bias = resblocks_5_adain2_0_fc_bias_to_fp16, weight = resblocks_5_adain2_0_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_41_cast_fp16")]; tensor var_2329 = const()[name = tensor("op_2329"), val = tensor([1, 256, 1])]; tensor h_167_cast_fp16 = reshape(shape = var_2329, x = linear_41_cast_fp16)[name = tensor("h_167_cast_fp16")]; tensor var_2331_split_sizes_0 = const()[name = tensor("op_2331_split_sizes_0"), val = tensor([128, 128])]; tensor var_2331_axis_0 = const()[name = tensor("op_2331_axis_0"), val = tensor(1)]; tensor var_2331_cast_fp16_0, tensor var_2331_cast_fp16_1 = split(axis = var_2331_axis_0, split_sizes = var_2331_split_sizes_0, x = h_167_cast_fp16)[name = tensor("op_2331_cast_fp16")]; tensor var_2333_promoted_to_fp16 = const()[name = tensor("op_2333_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_2334_cast_fp16 = add(x = var_2331_cast_fp16_0, y = var_2333_promoted_to_fp16)[name = tensor("op_2334_cast_fp16")]; tensor var_2208_to_fp16 = const()[name = tensor("op_2208_to_fp16"), val = tensor(0x1.5p-17)]; tensor var_2337_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_2208_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_213_cast_fp16)[name = tensor("op_2337_cast_fp16")]; tensor var_2338_cast_fp16 = mul(x = var_2334_cast_fp16, y = var_2337_cast_fp16)[name = tensor("op_2338_cast_fp16")]; tensor xt_93_cast_fp16 = add(x = var_2338_cast_fp16, y = var_2331_cast_fp16_1)[name = tensor("xt_93_cast_fp16")]; tensor var_2341_to_fp16 = const()[name = tensor("op_2341_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47844864)))]; tensor var_2342_cast_fp16 = mul(x = xt_93_cast_fp16, y = var_2341_to_fp16)[name = tensor("op_2342_cast_fp16")]; tensor cv_63_cast_fp16 = cos(x = var_2342_cast_fp16)[name = tensor("cv_63_cast_fp16")]; tensor var_2344_to_fp16 = const()[name = tensor("op_2344_to_fp16"), val = tensor(-0x1p-1)]; tensor var_2345_cast_fp16 = mul(x = cv_63_cast_fp16, y = var_2344_to_fp16)[name = tensor("op_2345_cast_fp16")]; tensor var_2346_to_fp16 = const()[name = tensor("op_2346_to_fp16"), val = tensor(0x1p-1)]; tensor var_2347_cast_fp16 = add(x = var_2345_cast_fp16, y = var_2346_to_fp16)[name = tensor("op_2347_cast_fp16")]; tensor var_2348_to_fp16 = const()[name = tensor("op_2348_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47845184)))]; tensor var_2351_cast_fp16 = mul(x = var_2347_cast_fp16, y = var_2348_to_fp16)[name = tensor("op_2351_cast_fp16")]; tensor input_215_cast_fp16 = add(x = xt_93_cast_fp16, y = var_2351_cast_fp16)[name = tensor("input_215_cast_fp16")]; tensor xt_95_pad_type_0 = const()[name = tensor("xt_95_pad_type_0"), val = tensor("custom")]; tensor xt_95_pad_0 = const()[name = tensor("xt_95_pad_0"), val = tensor([5, 5])]; tensor xt_95_strides_0 = const()[name = tensor("xt_95_strides_0"), val = tensor([1])]; tensor xt_95_dilations_0 = const()[name = tensor("xt_95_dilations_0"), val = tensor([1])]; tensor xt_95_groups_0 = const()[name = tensor("xt_95_groups_0"), val = tensor(1)]; tensor weight_183_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47845504))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48025792))), name = tensor("weight_183_to_fp16_palettized"), shape = tensor([128, 128, 11])]; tensor resblocks_5_convs2_0_bias_to_fp16 = const()[name = tensor("resblocks_5_convs2_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48026368)))]; tensor xt_95_cast_fp16 = conv(bias = resblocks_5_convs2_0_bias_to_fp16, dilations = xt_95_dilations_0, groups = xt_95_groups_0, pad = xt_95_pad_0, pad_type = xt_95_pad_type_0, strides = xt_95_strides_0, weight = weight_183_to_fp16_palettized, x = input_215_cast_fp16)[name = tensor("xt_95_cast_fp16")]; tensor input_217_cast_fp16 = add(x = xt_95_cast_fp16, y = input_165_cast_fp16)[name = tensor("input_217_cast_fp16")]; tensor resblocks_5_adain1_1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48026688))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48059520))), name = tensor("resblocks_5_adain1_1_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_5_adain1_1_fc_bias_to_fp16 = const()[name = tensor("resblocks_5_adain1_1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48060096)))]; tensor linear_42_cast_fp16 = linear(bias = resblocks_5_adain1_1_fc_bias_to_fp16, weight = resblocks_5_adain1_1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_42_cast_fp16")]; tensor var_2368 = const()[name = tensor("op_2368"), val = tensor([1, 256, 1])]; tensor h_171_cast_fp16 = reshape(shape = var_2368, x = linear_42_cast_fp16)[name = tensor("h_171_cast_fp16")]; tensor var_2370_split_sizes_0 = const()[name = tensor("op_2370_split_sizes_0"), val = tensor([128, 128])]; tensor var_2370_axis_0 = const()[name = tensor("op_2370_axis_0"), val = tensor(1)]; tensor var_2370_cast_fp16_0, tensor var_2370_cast_fp16_1 = split(axis = var_2370_axis_0, split_sizes = var_2370_split_sizes_0, x = h_171_cast_fp16)[name = tensor("op_2370_cast_fp16")]; tensor var_2372_promoted_to_fp16 = const()[name = tensor("op_2372_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_2373_cast_fp16 = add(x = var_2370_cast_fp16_0, y = var_2372_promoted_to_fp16)[name = tensor("op_2373_cast_fp16")]; tensor var_2376_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_2208_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_217_cast_fp16)[name = tensor("op_2376_cast_fp16")]; tensor var_2377_cast_fp16 = mul(x = var_2373_cast_fp16, y = var_2376_cast_fp16)[name = tensor("op_2377_cast_fp16")]; tensor xt_97_cast_fp16 = add(x = var_2377_cast_fp16, y = var_2370_cast_fp16_1)[name = tensor("xt_97_cast_fp16")]; tensor var_2380_to_fp16 = const()[name = tensor("op_2380_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48060672)))]; tensor var_2381_cast_fp16 = mul(x = xt_97_cast_fp16, y = var_2380_to_fp16)[name = tensor("op_2381_cast_fp16")]; tensor cv_65_cast_fp16 = cos(x = var_2381_cast_fp16)[name = tensor("cv_65_cast_fp16")]; tensor var_2383_to_fp16 = const()[name = tensor("op_2383_to_fp16"), val = tensor(-0x1p-1)]; tensor var_2384_cast_fp16 = mul(x = cv_65_cast_fp16, y = var_2383_to_fp16)[name = tensor("op_2384_cast_fp16")]; tensor var_2385_to_fp16 = const()[name = tensor("op_2385_to_fp16"), val = tensor(0x1p-1)]; tensor var_2386_cast_fp16 = add(x = var_2384_cast_fp16, y = var_2385_to_fp16)[name = tensor("op_2386_cast_fp16")]; tensor var_2387_to_fp16 = const()[name = tensor("op_2387_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48060992)))]; tensor var_2390_cast_fp16 = mul(x = var_2386_cast_fp16, y = var_2387_to_fp16)[name = tensor("op_2390_cast_fp16")]; tensor input_219_cast_fp16 = add(x = xt_97_cast_fp16, y = var_2390_cast_fp16)[name = tensor("input_219_cast_fp16")]; tensor input_221_pad_type_0 = const()[name = tensor("input_221_pad_type_0"), val = tensor("custom")]; tensor input_221_pad_0 = const()[name = tensor("input_221_pad_0"), val = tensor([15, 15])]; tensor input_221_dilations_0 = const()[name = tensor("input_221_dilations_0"), val = tensor([3])]; tensor input_221_strides_0 = const()[name = tensor("input_221_strides_0"), val = tensor([1])]; tensor input_221_groups_0 = const()[name = tensor("input_221_groups_0"), val = tensor(1)]; tensor weight_187_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48061312))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48241600))), name = tensor("weight_187_to_fp16_palettized"), shape = tensor([128, 128, 11])]; tensor resblocks_5_convs1_1_bias_to_fp16 = const()[name = tensor("resblocks_5_convs1_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48242176)))]; tensor input_221_cast_fp16 = conv(bias = resblocks_5_convs1_1_bias_to_fp16, dilations = input_221_dilations_0, groups = input_221_groups_0, pad = input_221_pad_0, pad_type = input_221_pad_type_0, strides = input_221_strides_0, weight = weight_187_to_fp16_palettized, x = input_219_cast_fp16)[name = tensor("input_221_cast_fp16")]; tensor resblocks_5_adain2_1_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48242496))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48275328))), name = tensor("resblocks_5_adain2_1_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_5_adain2_1_fc_bias_to_fp16 = const()[name = tensor("resblocks_5_adain2_1_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48275904)))]; tensor linear_43_cast_fp16 = linear(bias = resblocks_5_adain2_1_fc_bias_to_fp16, weight = resblocks_5_adain2_1_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_43_cast_fp16")]; tensor var_2406 = const()[name = tensor("op_2406"), val = tensor([1, 256, 1])]; tensor h_175_cast_fp16 = reshape(shape = var_2406, x = linear_43_cast_fp16)[name = tensor("h_175_cast_fp16")]; tensor var_2408_split_sizes_0 = const()[name = tensor("op_2408_split_sizes_0"), val = tensor([128, 128])]; tensor var_2408_axis_0 = const()[name = tensor("op_2408_axis_0"), val = tensor(1)]; tensor var_2408_cast_fp16_0, tensor var_2408_cast_fp16_1 = split(axis = var_2408_axis_0, split_sizes = var_2408_split_sizes_0, x = h_175_cast_fp16)[name = tensor("op_2408_cast_fp16")]; tensor var_2410_promoted_to_fp16 = const()[name = tensor("op_2410_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_2411_cast_fp16 = add(x = var_2408_cast_fp16_0, y = var_2410_promoted_to_fp16)[name = tensor("op_2411_cast_fp16")]; tensor var_2414_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_2208_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_221_cast_fp16)[name = tensor("op_2414_cast_fp16")]; tensor var_2415_cast_fp16 = mul(x = var_2411_cast_fp16, y = var_2414_cast_fp16)[name = tensor("op_2415_cast_fp16")]; tensor xt_99_cast_fp16 = add(x = var_2415_cast_fp16, y = var_2408_cast_fp16_1)[name = tensor("xt_99_cast_fp16")]; tensor var_2418_to_fp16 = const()[name = tensor("op_2418_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48276480)))]; tensor var_2419_cast_fp16 = mul(x = xt_99_cast_fp16, y = var_2418_to_fp16)[name = tensor("op_2419_cast_fp16")]; tensor cv_67_cast_fp16 = cos(x = var_2419_cast_fp16)[name = tensor("cv_67_cast_fp16")]; tensor var_2421_to_fp16 = const()[name = tensor("op_2421_to_fp16"), val = tensor(-0x1p-1)]; tensor var_2422_cast_fp16 = mul(x = cv_67_cast_fp16, y = var_2421_to_fp16)[name = tensor("op_2422_cast_fp16")]; tensor var_2423_to_fp16 = const()[name = tensor("op_2423_to_fp16"), val = tensor(0x1p-1)]; tensor var_2424_cast_fp16 = add(x = var_2422_cast_fp16, y = var_2423_to_fp16)[name = tensor("op_2424_cast_fp16")]; tensor var_2425_to_fp16 = const()[name = tensor("op_2425_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48276800)))]; tensor var_2428_cast_fp16 = mul(x = var_2424_cast_fp16, y = var_2425_to_fp16)[name = tensor("op_2428_cast_fp16")]; tensor input_223_cast_fp16 = add(x = xt_99_cast_fp16, y = var_2428_cast_fp16)[name = tensor("input_223_cast_fp16")]; tensor xt_101_pad_type_0 = const()[name = tensor("xt_101_pad_type_0"), val = tensor("custom")]; tensor xt_101_pad_0 = const()[name = tensor("xt_101_pad_0"), val = tensor([5, 5])]; tensor xt_101_strides_0 = const()[name = tensor("xt_101_strides_0"), val = tensor([1])]; tensor xt_101_dilations_0 = const()[name = tensor("xt_101_dilations_0"), val = tensor([1])]; tensor xt_101_groups_0 = const()[name = tensor("xt_101_groups_0"), val = tensor(1)]; tensor weight_191_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48277120))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48457408))), name = tensor("weight_191_to_fp16_palettized"), shape = tensor([128, 128, 11])]; tensor resblocks_5_convs2_1_bias_to_fp16 = const()[name = tensor("resblocks_5_convs2_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48457984)))]; tensor xt_101_cast_fp16 = conv(bias = resblocks_5_convs2_1_bias_to_fp16, dilations = xt_101_dilations_0, groups = xt_101_groups_0, pad = xt_101_pad_0, pad_type = xt_101_pad_type_0, strides = xt_101_strides_0, weight = weight_191_to_fp16_palettized, x = input_223_cast_fp16)[name = tensor("xt_101_cast_fp16")]; tensor input_225_cast_fp16 = add(x = xt_101_cast_fp16, y = input_217_cast_fp16)[name = tensor("input_225_cast_fp16")]; tensor resblocks_5_adain1_2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48458304))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48491136))), name = tensor("resblocks_5_adain1_2_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_5_adain1_2_fc_bias_to_fp16 = const()[name = tensor("resblocks_5_adain1_2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48491712)))]; tensor linear_44_cast_fp16 = linear(bias = resblocks_5_adain1_2_fc_bias_to_fp16, weight = resblocks_5_adain1_2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_44_cast_fp16")]; tensor var_2445 = const()[name = tensor("op_2445"), val = tensor([1, 256, 1])]; tensor h_179_cast_fp16 = reshape(shape = var_2445, x = linear_44_cast_fp16)[name = tensor("h_179_cast_fp16")]; tensor var_2447_split_sizes_0 = const()[name = tensor("op_2447_split_sizes_0"), val = tensor([128, 128])]; tensor var_2447_axis_0 = const()[name = tensor("op_2447_axis_0"), val = tensor(1)]; tensor var_2447_cast_fp16_0, tensor var_2447_cast_fp16_1 = split(axis = var_2447_axis_0, split_sizes = var_2447_split_sizes_0, x = h_179_cast_fp16)[name = tensor("op_2447_cast_fp16")]; tensor var_2449_promoted_to_fp16 = const()[name = tensor("op_2449_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_2450_cast_fp16 = add(x = var_2447_cast_fp16_0, y = var_2449_promoted_to_fp16)[name = tensor("op_2450_cast_fp16")]; tensor var_2453_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_2208_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_225_cast_fp16)[name = tensor("op_2453_cast_fp16")]; tensor var_2454_cast_fp16 = mul(x = var_2450_cast_fp16, y = var_2453_cast_fp16)[name = tensor("op_2454_cast_fp16")]; tensor xt_103_cast_fp16 = add(x = var_2454_cast_fp16, y = var_2447_cast_fp16_1)[name = tensor("xt_103_cast_fp16")]; tensor var_2457_to_fp16 = const()[name = tensor("op_2457_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48492288)))]; tensor var_2458_cast_fp16 = mul(x = xt_103_cast_fp16, y = var_2457_to_fp16)[name = tensor("op_2458_cast_fp16")]; tensor cv_69_cast_fp16 = cos(x = var_2458_cast_fp16)[name = tensor("cv_69_cast_fp16")]; tensor var_2460_to_fp16 = const()[name = tensor("op_2460_to_fp16"), val = tensor(-0x1p-1)]; tensor var_2461_cast_fp16 = mul(x = cv_69_cast_fp16, y = var_2460_to_fp16)[name = tensor("op_2461_cast_fp16")]; tensor var_2462_to_fp16 = const()[name = tensor("op_2462_to_fp16"), val = tensor(0x1p-1)]; tensor var_2463_cast_fp16 = add(x = var_2461_cast_fp16, y = var_2462_to_fp16)[name = tensor("op_2463_cast_fp16")]; tensor var_2464_to_fp16 = const()[name = tensor("op_2464_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48492608)))]; tensor var_2467_cast_fp16 = mul(x = var_2463_cast_fp16, y = var_2464_to_fp16)[name = tensor("op_2467_cast_fp16")]; tensor input_227_cast_fp16 = add(x = xt_103_cast_fp16, y = var_2467_cast_fp16)[name = tensor("input_227_cast_fp16")]; tensor input_229_pad_type_0 = const()[name = tensor("input_229_pad_type_0"), val = tensor("custom")]; tensor input_229_pad_0 = const()[name = tensor("input_229_pad_0"), val = tensor([25, 25])]; tensor input_229_dilations_0 = const()[name = tensor("input_229_dilations_0"), val = tensor([5])]; tensor input_229_strides_0 = const()[name = tensor("input_229_strides_0"), val = tensor([1])]; tensor input_229_groups_0 = const()[name = tensor("input_229_groups_0"), val = tensor(1)]; tensor weight_195_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48492928))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48673216))), name = tensor("weight_195_to_fp16_palettized"), shape = tensor([128, 128, 11])]; tensor resblocks_5_convs1_2_bias_to_fp16 = const()[name = tensor("resblocks_5_convs1_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48673792)))]; tensor input_229_cast_fp16 = conv(bias = resblocks_5_convs1_2_bias_to_fp16, dilations = input_229_dilations_0, groups = input_229_groups_0, pad = input_229_pad_0, pad_type = input_229_pad_type_0, strides = input_229_strides_0, weight = weight_195_to_fp16_palettized, x = input_227_cast_fp16)[name = tensor("input_229_cast_fp16")]; tensor resblocks_5_adain2_2_fc_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48674112))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48706944))), name = tensor("resblocks_5_adain2_2_fc_weight_to_fp16_palettized"), shape = tensor([256, 128])]; tensor resblocks_5_adain2_2_fc_bias_to_fp16 = const()[name = tensor("resblocks_5_adain2_2_fc_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48707520)))]; tensor linear_45_cast_fp16 = linear(bias = resblocks_5_adain2_2_fc_bias_to_fp16, weight = resblocks_5_adain2_2_fc_weight_to_fp16_palettized, x = style_timbre)[name = tensor("linear_45_cast_fp16")]; tensor var_2483 = const()[name = tensor("op_2483"), val = tensor([1, 256, 1])]; tensor h_cast_fp16 = reshape(shape = var_2483, x = linear_45_cast_fp16)[name = tensor("h_cast_fp16")]; tensor var_2485_split_sizes_0 = const()[name = tensor("op_2485_split_sizes_0"), val = tensor([128, 128])]; tensor var_2485_axis_0 = const()[name = tensor("op_2485_axis_0"), val = tensor(1)]; tensor var_2485_cast_fp16_0, tensor var_2485_cast_fp16_1 = split(axis = var_2485_axis_0, split_sizes = var_2485_split_sizes_0, x = h_cast_fp16)[name = tensor("op_2485_cast_fp16")]; tensor var_2487_promoted_to_fp16 = const()[name = tensor("op_2487_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_2488_cast_fp16 = add(x = var_2485_cast_fp16_0, y = var_2487_promoted_to_fp16)[name = tensor("op_2488_cast_fp16")]; tensor var_2491_cast_fp16 = instance_norm(beta = resblocks_3_adain1_0_norm_bias_to_fp16, epsilon = var_2208_to_fp16, gamma = resblocks_3_adain1_0_norm_weight_to_fp16, x = input_229_cast_fp16)[name = tensor("op_2491_cast_fp16")]; tensor var_2492_cast_fp16 = mul(x = var_2488_cast_fp16, y = var_2491_cast_fp16)[name = tensor("op_2492_cast_fp16")]; tensor xt_105_cast_fp16 = add(x = var_2492_cast_fp16, y = var_2485_cast_fp16_1)[name = tensor("xt_105_cast_fp16")]; tensor var_2495_to_fp16 = const()[name = tensor("op_2495_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48708096)))]; tensor var_2496_cast_fp16 = mul(x = xt_105_cast_fp16, y = var_2495_to_fp16)[name = tensor("op_2496_cast_fp16")]; tensor cv_cast_fp16 = cos(x = var_2496_cast_fp16)[name = tensor("cv_cast_fp16")]; tensor var_2498_to_fp16 = const()[name = tensor("op_2498_to_fp16"), val = tensor(-0x1p-1)]; tensor var_2499_cast_fp16 = mul(x = cv_cast_fp16, y = var_2498_to_fp16)[name = tensor("op_2499_cast_fp16")]; tensor var_2500_to_fp16 = const()[name = tensor("op_2500_to_fp16"), val = tensor(0x1p-1)]; tensor var_2501_cast_fp16 = add(x = var_2499_cast_fp16, y = var_2500_to_fp16)[name = tensor("op_2501_cast_fp16")]; tensor var_2502_to_fp16 = const()[name = tensor("op_2502_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48708416)))]; tensor var_2505_cast_fp16 = mul(x = var_2501_cast_fp16, y = var_2502_to_fp16)[name = tensor("op_2505_cast_fp16")]; tensor input_231_cast_fp16 = add(x = xt_105_cast_fp16, y = var_2505_cast_fp16)[name = tensor("input_231_cast_fp16")]; tensor xt_pad_type_0 = const()[name = tensor("xt_pad_type_0"), val = tensor("custom")]; tensor xt_pad_0 = const()[name = tensor("xt_pad_0"), val = tensor([5, 5])]; tensor xt_strides_0 = const()[name = tensor("xt_strides_0"), val = tensor([1])]; tensor xt_dilations_0 = const()[name = tensor("xt_dilations_0"), val = tensor([1])]; tensor xt_groups_0 = const()[name = tensor("xt_groups_0"), val = tensor(1)]; tensor weight_199_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48708736))), lut = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48889024))), name = tensor("weight_199_to_fp16_palettized"), shape = tensor([128, 128, 11])]; tensor resblocks_5_convs2_2_bias_to_fp16 = const()[name = tensor("resblocks_5_convs2_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48889600)))]; tensor xt_cast_fp16 = conv(bias = resblocks_5_convs2_2_bias_to_fp16, dilations = xt_dilations_0, groups = xt_groups_0, pad = xt_pad_0, pad_type = xt_pad_type_0, strides = xt_strides_0, weight = weight_199_to_fp16_palettized, x = input_231_cast_fp16)[name = tensor("xt_cast_fp16")]; tensor var_2514_cast_fp16 = add(x = xt_cast_fp16, y = input_225_cast_fp16)[name = tensor("op_2514_cast_fp16")]; tensor xs_cast_fp16 = add(x = xs_9_cast_fp16, y = var_2514_cast_fp16)[name = tensor("xs_cast_fp16")]; tensor _inversed_input_y_0_to_fp16 = const()[name = tensor("_inversed_input_y_0_to_fp16"), val = tensor(0x1.554p-2)]; tensor _inversed_input_cast_fp16 = mul(x = xs_cast_fp16, y = _inversed_input_y_0_to_fp16)[name = tensor("_inversed_input_cast_fp16")]; tensor var_2519 = const()[name = tensor("op_2519"), val = tensor(0x1.47ae14p-7)]; tensor x_pre = leaky_relu(alpha = var_2519, x = _inversed_input_cast_fp16)[name = tensor("x_pre_cast_fp16")]; tensor var_2522_keep_dims_0 = const()[name = tensor("op_2522_keep_dims_0"), val = tensor(false)]; tensor var_2522_cast_fp16 = reduce_mean(keep_dims = var_2522_keep_dims_0, x = x_pre)[name = tensor("op_2522_cast_fp16")]; tensor var_2524_axes_0 = const()[name = tensor("op_2524_axes_0"), val = tensor([0])]; tensor anchor = expand_dims(axes = var_2524_axes_0, x = var_2522_cast_fp16)[name = tensor("op_2524_cast_fp16")]; } -> (anchor, x_pre); }