program(1.3)
[buildInfo = dict<string, string>({{"coremlc-component-MIL", "3520.4.1"}, {"coremlc-version", "3520.5.1"}, {"coremltools-component-torch", "2.6.0"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "8.3.0"}})]
{
    func main<ios18>(tensor<fp16, [1, 80, 384]> mel) {
            fp32 var_71 = const()[name = string("op_71"), val = fp32(0x1p+0)];
            string input_1_pad_type_0 = const()[name = string("input_1_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> input_1_pad_0 = const()[name = string("input_1_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> input_1_strides_0 = const()[name = string("input_1_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> input_1_dilations_0 = const()[name = string("input_1_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 input_1_groups_0 = const()[name = string("input_1_groups_0"), val = int32(1)];
            tensor<fp16, [512, 80, 3]> weight_1_to_fp16 = const()[name = string("weight_1_to_fp16"), val = tensor<fp16, [512, 80, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(64)))];
            tensor<fp16, [512]> mel2wav_f0_predictor_condnet_0_bias_to_fp16 = const()[name = string("mel2wav_f0_predictor_condnet_0_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(245888)))];
            tensor<fp16, [1, 512, 384]> input_1_cast_fp16 = conv(bias = mel2wav_f0_predictor_condnet_0_bias_to_fp16, dilations = input_1_dilations_0, groups = input_1_groups_0, pad = input_1_pad_0, pad_type = input_1_pad_type_0, strides = input_1_strides_0, weight = weight_1_to_fp16, x = mel)[name = string("input_1_cast_fp16")];
            tensor<fp16, [1, 512, 384]> input_3_cast_fp16 = elu(alpha = var_71, x = input_1_cast_fp16)[name = string("input_3_cast_fp16")];
            string input_5_pad_type_0 = const()[name = string("input_5_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> input_5_pad_0 = const()[name = string("input_5_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> input_5_strides_0 = const()[name = string("input_5_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> input_5_dilations_0 = const()[name = string("input_5_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 input_5_groups_0 = const()[name = string("input_5_groups_0"), val = int32(1)];
            tensor<fp16, [512, 512, 3]> weight_3_to_fp16 = const()[name = string("weight_3_to_fp16"), val = tensor<fp16, [512, 512, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(246976)))];
            tensor<fp16, [512]> mel2wav_f0_predictor_condnet_2_bias_to_fp16 = const()[name = string("mel2wav_f0_predictor_condnet_2_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(1819904)))];
            tensor<fp16, [1, 512, 384]> input_5_cast_fp16 = conv(bias = mel2wav_f0_predictor_condnet_2_bias_to_fp16, dilations = input_5_dilations_0, groups = input_5_groups_0, pad = input_5_pad_0, pad_type = input_5_pad_type_0, strides = input_5_strides_0, weight = weight_3_to_fp16, x = input_3_cast_fp16)[name = string("input_5_cast_fp16")];
            tensor<fp16, [1, 512, 384]> input_7_cast_fp16 = elu(alpha = var_71, x = input_5_cast_fp16)[name = string("input_7_cast_fp16")];
            string input_9_pad_type_0 = const()[name = string("input_9_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> input_9_pad_0 = const()[name = string("input_9_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> input_9_strides_0 = const()[name = string("input_9_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> input_9_dilations_0 = const()[name = string("input_9_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 input_9_groups_0 = const()[name = string("input_9_groups_0"), val = int32(1)];
            tensor<fp16, [512, 512, 3]> weight_5_to_fp16 = const()[name = string("weight_5_to_fp16"), val = tensor<fp16, [512, 512, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(1820992)))];
            tensor<fp16, [512]> mel2wav_f0_predictor_condnet_4_bias_to_fp16 = const()[name = string("mel2wav_f0_predictor_condnet_4_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(3393920)))];
            tensor<fp16, [1, 512, 384]> input_9_cast_fp16 = conv(bias = mel2wav_f0_predictor_condnet_4_bias_to_fp16, dilations = input_9_dilations_0, groups = input_9_groups_0, pad = input_9_pad_0, pad_type = input_9_pad_type_0, strides = input_9_strides_0, weight = weight_5_to_fp16, x = input_7_cast_fp16)[name = string("input_9_cast_fp16")];
            tensor<fp16, [1, 512, 384]> input_11_cast_fp16 = elu(alpha = var_71, x = input_9_cast_fp16)[name = string("input_11_cast_fp16")];
            string input_13_pad_type_0 = const()[name = string("input_13_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> input_13_pad_0 = const()[name = string("input_13_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> input_13_strides_0 = const()[name = string("input_13_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> input_13_dilations_0 = const()[name = string("input_13_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 input_13_groups_0 = const()[name = string("input_13_groups_0"), val = int32(1)];
            tensor<fp16, [512, 512, 3]> weight_7_to_fp16 = const()[name = string("weight_7_to_fp16"), val = tensor<fp16, [512, 512, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(3395008)))];
            tensor<fp16, [512]> mel2wav_f0_predictor_condnet_6_bias_to_fp16 = const()[name = string("mel2wav_f0_predictor_condnet_6_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(4967936)))];
            tensor<fp16, [1, 512, 384]> input_13_cast_fp16 = conv(bias = mel2wav_f0_predictor_condnet_6_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, x = input_11_cast_fp16)[name = string("input_13_cast_fp16")];
            tensor<fp16, [1, 512, 384]> input_15_cast_fp16 = elu(alpha = var_71, x = input_13_cast_fp16)[name = string("input_15_cast_fp16")];
            string input_17_pad_type_0 = const()[name = string("input_17_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> input_17_pad_0 = const()[name = string("input_17_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> input_17_strides_0 = const()[name = string("input_17_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> input_17_dilations_0 = const()[name = string("input_17_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 input_17_groups_0 = const()[name = string("input_17_groups_0"), val = int32(1)];
            tensor<fp16, [512, 512, 3]> weight_9_to_fp16 = const()[name = string("weight_9_to_fp16"), val = tensor<fp16, [512, 512, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(4969024)))];
            tensor<fp16, [512]> mel2wav_f0_predictor_condnet_8_bias_to_fp16 = const()[name = string("mel2wav_f0_predictor_condnet_8_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(6541952)))];
            tensor<fp16, [1, 512, 384]> input_17_cast_fp16 = conv(bias = mel2wav_f0_predictor_condnet_8_bias_to_fp16, dilations = input_17_dilations_0, groups = input_17_groups_0, pad = input_17_pad_0, pad_type = input_17_pad_type_0, strides = input_17_strides_0, weight = weight_9_to_fp16, x = input_15_cast_fp16)[name = string("input_17_cast_fp16")];
            tensor<fp16, [1, 512, 384]> x_1_cast_fp16 = elu(alpha = var_71, x = input_17_cast_fp16)[name = string("x_1_cast_fp16")];
            tensor<int32, [3]> input_19_perm_0 = const()[name = string("input_19_perm_0"), val = tensor<int32, [3]>([0, 2, 1])];
            tensor<fp16, [1, 512]> mel2wav_f0_predictor_classifier_weight_to_fp16 = const()[name = string("mel2wav_f0_predictor_classifier_weight_to_fp16"), val = tensor<fp16, [1, 512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(6543040)))];
            tensor<fp16, [1]> mel2wav_f0_predictor_classifier_bias_to_fp16 = const()[name = string("mel2wav_f0_predictor_classifier_bias_to_fp16"), val = tensor<fp16, [1]>([0x1.0b4p-4])];
            tensor<fp16, [1, 384, 512]> input_19_cast_fp16 = transpose(perm = input_19_perm_0, x = x_1_cast_fp16)[name = string("transpose_10")];
            tensor<fp16, [1, 384, 1]> linear_0_cast_fp16 = linear(bias = mel2wav_f0_predictor_classifier_bias_to_fp16, weight = mel2wav_f0_predictor_classifier_weight_to_fp16, x = input_19_cast_fp16)[name = string("linear_0_cast_fp16")];
            tensor<int32, [1]> var_143_axes_0 = const()[name = string("op_143_axes_0"), val = tensor<int32, [1]>([-1])];
            tensor<fp16, [1, 384]> var_143_cast_fp16 = squeeze(axes = var_143_axes_0, x = linear_0_cast_fp16)[name = string("op_143_cast_fp16")];
            tensor<fp16, [1, 384]> f0_1_cast_fp16 = abs(x = var_143_cast_fp16)[name = string("f0_1_cast_fp16")];
            tensor<int32, [1]> input_21_axes_0 = const()[name = string("input_21_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [1, 1, 384]> input_21_cast_fp16 = expand_dims(axes = input_21_axes_0, x = f0_1_cast_fp16)[name = string("input_21_cast_fp16")];
            tensor<int32, [1]> expand_dims_0_axes_0 = const()[name = string("expand_dims_0_axes_0"), val = tensor<int32, [1]>([3])];
            tensor<fp16, [1, 1, 384, 1]> expand_dims_0_cast_fp16 = expand_dims(axes = expand_dims_0_axes_0, x = input_21_cast_fp16)[name = string("expand_dims_0_cast_fp16")];
            int32 upsample_nearest_neighbor_0_scale_factor_height_0 = const()[name = string("upsample_nearest_neighbor_0_scale_factor_height_0"), val = int32(480)];
            int32 upsample_nearest_neighbor_0_scale_factor_width_0 = const()[name = string("upsample_nearest_neighbor_0_scale_factor_width_0"), val = int32(1)];
            tensor<fp16, [1, 1, 184320, 1]> 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 = string("upsample_nearest_neighbor_0_cast_fp16")];
            tensor<int32, [1]> var_155_axes_0 = const()[name = string("op_155_axes_0"), val = tensor<int32, [1]>([3])];
            tensor<fp16, [1, 1, 184320]> var_155_cast_fp16 = squeeze(axes = var_155_axes_0, x = upsample_nearest_neighbor_0_cast_fp16)[name = string("op_155_cast_fp16")];
            int32 var_164 = const()[name = string("op_164"), val = int32(-1)];
            tensor<fp16, [1, 9, 1]> harmonics_promoted_to_fp16 = const()[name = string("harmonics_promoted_to_fp16"), val = tensor<fp16, [1, 9, 1]>([[[0x1p+0], [0x1p+1], [0x1.8p+1], [0x1p+2], [0x1.4p+2], [0x1.8p+2], [0x1.cp+2], [0x1p+3], [0x1.2p+3]]])];
            tensor<fp16, [1, 9, 184320]> var_174_cast_fp16 = mul(x = var_155_cast_fp16, y = harmonics_promoted_to_fp16)[name = string("op_174_cast_fp16")];
            fp16 _inversed_f_mat_y_0_to_fp16 = const()[name = string("_inversed_f_mat_y_0_to_fp16"), val = fp16(0x1.5d8p-15)];
            tensor<fp16, [1, 9, 184320]> _inversed_f_mat_cast_fp16 = mul(x = var_174_cast_fp16, y = _inversed_f_mat_y_0_to_fp16)[name = string("_inversed_f_mat_cast_fp16")];
            bool var_177_exclusive_0 = const()[name = string("op_177_exclusive_0"), val = bool(false)];
            bool var_177_reverse_0 = const()[name = string("op_177_reverse_0"), val = bool(false)];
            tensor<fp16, [1, 9, 184320]> var_177_cast_fp16 = cumsum(axis = var_164, exclusive = var_177_exclusive_0, reverse = var_177_reverse_0, x = _inversed_f_mat_cast_fp16)[name = string("op_177_cast_fp16")];
            tensor<fp16, [1, 9, 184320]> var_178_cast_fp16 = sub(x = var_177_cast_fp16, y = var_177_cast_fp16)[name = string("op_178_cast_fp16")];
            fp16 var_179_to_fp16 = const()[name = string("op_179_to_fp16"), val = fp16(0x1.92p+2)];
            tensor<fp16, [1, 9, 184320]> theta_cast_fp16 = mul(x = var_178_cast_fp16, y = var_179_to_fp16)[name = string("theta_cast_fp16")];
            tensor<fp16, [1, 9, 184320]> var_185_cast_fp16 = sin(x = theta_cast_fp16)[name = string("op_185_cast_fp16")];
            fp16 var_186_to_fp16 = const()[name = string("op_186_to_fp16"), val = fp16(0x1.998p-4)];
            tensor<fp16, [1, 9, 184320]> sine_cast_fp16 = mul(x = var_185_cast_fp16, y = var_186_to_fp16)[name = string("sine_cast_fp16")];
            fp16 var_159_promoted_to_fp16 = const()[name = string("op_159_promoted_to_fp16"), val = fp16(0x1.4p+3)];
            tensor<bool, [1, 1, 184320]> var_188_cast_fp16 = greater(x = var_155_cast_fp16, y = var_159_promoted_to_fp16)[name = string("op_188_cast_fp16")];
            string cast_4_to_fp16_dtype_0 = const()[name = string("cast_4_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 1, 184320]> var_188_cast_fp16_to_fp16 = cast(dtype = cast_4_to_fp16_dtype_0, x = var_188_cast_fp16)[name = string("cast_23")];
            tensor<fp16, [1, 9, 184320]> var_191_cast_fp16 = mul(x = sine_cast_fp16, y = var_188_cast_fp16_to_fp16)[name = string("op_191_cast_fp16")];
            tensor<int32, [3]> input_23_perm_0 = const()[name = string("input_23_perm_0"), val = tensor<int32, [3]>([0, 2, 1])];
            tensor<fp16, [1, 9]> mel2wav_m_source_l_linear_weight_to_fp16 = const()[name = string("mel2wav_m_source_l_linear_weight_to_fp16"), val = tensor<fp16, [1, 9]>([[-0x1.35p-10, -0x1.178p-12, -0x1.9ccp-12, 0x1.2a8p-10, 0x1.644p-10, 0x1.e08p-10, -0x1.948p-12, -0x1.fd4p-11, -0x1.f04p-10]])];
            tensor<fp16, [1]> mel2wav_m_source_l_linear_bias_to_fp16 = const()[name = string("mel2wav_m_source_l_linear_bias_to_fp16"), val = tensor<fp16, [1]>([0x1.83p-8])];
            tensor<fp16, [1, 184320, 9]> input_23_cast_fp16 = transpose(perm = input_23_perm_0, x = var_191_cast_fp16)[name = string("transpose_9")];
            tensor<fp16, [1, 184320, 1]> linear_1_cast_fp16 = linear(bias = mel2wav_m_source_l_linear_bias_to_fp16, weight = mel2wav_m_source_l_linear_weight_to_fp16, x = input_23_cast_fp16)[name = string("linear_1_cast_fp16")];
            tensor<fp16, [1, 184320, 1]> s_1_cast_fp16 = tanh(x = linear_1_cast_fp16)[name = string("s_1_cast_fp16")];
            tensor<int32, [3]> s_perm_0 = const()[name = string("s_perm_0"), val = tensor<int32, [3]>([0, 2, 1])];
            tensor<int32, [6]> padded_pad_0 = const()[name = string("padded_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 8, 8])];
            string padded_mode_0 = const()[name = string("padded_mode_0"), val = string("reflect")];
            fp16 const_8_to_fp16 = const()[name = string("const_8_to_fp16"), val = fp16(0x0p+0)];
            tensor<fp16, [1, 1, 184320]> s_cast_fp16 = transpose(perm = s_perm_0, x = s_1_cast_fp16)[name = string("transpose_8")];
            tensor<fp16, [1, 1, 184336]> padded_cast_fp16 = pad(constant_val = const_8_to_fp16, mode = padded_mode_0, pad = padded_pad_0, x = s_cast_fp16)[name = string("padded_cast_fp16")];
            string s_stft_real_pad_type_0 = const()[name = string("s_stft_real_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> s_stft_real_strides_0 = const()[name = string("s_stft_real_strides_0"), val = tensor<int32, [1]>([4])];
            tensor<int32, [2]> s_stft_real_pad_0 = const()[name = string("s_stft_real_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> s_stft_real_dilations_0 = const()[name = string("s_stft_real_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 s_stft_real_groups_0 = const()[name = string("s_stft_real_groups_0"), val = int32(1)];
            tensor<fp16, [9, 1, 16]> wr_to_fp16 = const()[name = string("wr_to_fp16"), val = tensor<fp16, [9, 1, 16]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(6544128)))];
            tensor<fp16, [1, 9, 46081]> s_stft_real_cast_fp16 = conv(dilations = s_stft_real_dilations_0, groups = s_stft_real_groups_0, pad = s_stft_real_pad_0, pad_type = s_stft_real_pad_type_0, strides = s_stft_real_strides_0, weight = wr_to_fp16, x = padded_cast_fp16)[name = string("s_stft_real_cast_fp16")];
            string s_stft_imag_pad_type_0 = const()[name = string("s_stft_imag_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> s_stft_imag_strides_0 = const()[name = string("s_stft_imag_strides_0"), val = tensor<int32, [1]>([4])];
            tensor<int32, [2]> s_stft_imag_pad_0 = const()[name = string("s_stft_imag_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> s_stft_imag_dilations_0 = const()[name = string("s_stft_imag_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 s_stft_imag_groups_0 = const()[name = string("s_stft_imag_groups_0"), val = int32(1)];
            tensor<fp16, [9, 1, 16]> wi_to_fp16 = const()[name = string("wi_to_fp16"), val = tensor<fp16, [9, 1, 16]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(6544512)))];
            tensor<fp16, [1, 9, 46081]> s_stft_imag_cast_fp16 = conv(dilations = s_stft_imag_dilations_0, groups = s_stft_imag_groups_0, pad = s_stft_imag_pad_0, pad_type = s_stft_imag_pad_type_0, strides = s_stft_imag_strides_0, weight = wi_to_fp16, x = padded_cast_fp16)[name = string("s_stft_imag_cast_fp16")];
            int32 var_284 = const()[name = string("op_284"), val = int32(1)];
            bool input_33_interleave_0 = const()[name = string("input_33_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 18, 46081]> input_33_cast_fp16 = concat(axis = var_284, interleave = input_33_interleave_0, values = (s_stft_real_cast_fp16, s_stft_imag_cast_fp16))[name = string("input_33_cast_fp16")];
            string input_29_pad_type_0 = const()[name = string("input_29_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> input_29_pad_0 = const()[name = string("input_29_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> input_29_strides_0 = const()[name = string("input_29_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> input_29_dilations_0 = const()[name = string("input_29_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 input_29_groups_0 = const()[name = string("input_29_groups_0"), val = int32(1)];
            tensor<fp16, [512, 80, 7]> weight_11_to_fp16 = const()[name = string("weight_11_to_fp16"), val = tensor<fp16, [512, 80, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(6544896)))];
            tensor<fp16, [512]> mel2wav_conv_pre_bias_to_fp16 = const()[name = string("mel2wav_conv_pre_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(7118400)))];
            tensor<fp16, [1, 512, 384]> input_29_cast_fp16 = conv(bias = mel2wav_conv_pre_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_11_to_fp16, x = mel)[name = string("input_29_cast_fp16")];
            fp32 var_302 = const()[name = string("op_302"), val = fp32(0x1.99999ap-4)];
            tensor<fp16, [1, 512, 384]> input_31_cast_fp16 = leaky_relu(alpha = var_302, x = input_29_cast_fp16)[name = string("input_31_cast_fp16")];
            string x_19_pad_type_0 = const()[name = string("x_19_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_19_pad_0 = const()[name = string("x_19_pad_0"), val = tensor<int32, [2]>([4, 4])];
            tensor<int32, [1]> x_19_strides_0 = const()[name = string("x_19_strides_0"), val = tensor<int32, [1]>([8])];
            tensor<int32, [1]> x_19_dilations_0 = const()[name = string("x_19_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_19_groups_0 = const()[name = string("x_19_groups_0"), val = int32(1)];
            tensor<int32, [3]> x_19_has_output_shape_output_shape_0 = const()[name = string("x_19_has_output_shape_output_shape_0"), val = tensor<int32, [3]>([1, 256, 3072])];
            tensor<fp16, [512, 256, 16]> var_315_to_fp16 = const()[name = string("op_315_to_fp16"), val = tensor<fp16, [512, 256, 16]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(7119488)))];
            tensor<fp16, [256]> mel2wav_ups_0_bias_to_fp16 = const()[name = string("mel2wav_ups_0_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(11313856)))];
            tensor<fp16, [1, 256, 3072]> x_19_has_output_shape_cast_fp16 = conv_transpose(bias = mel2wav_ups_0_bias_to_fp16, dilations = x_19_dilations_0, groups = x_19_groups_0, output_shape = x_19_has_output_shape_output_shape_0, pad = x_19_pad_0, pad_type = x_19_pad_type_0, strides = x_19_strides_0, weight = var_315_to_fp16, x = input_31_cast_fp16)[name = string("x_19_has_output_shape_cast_fp16")];
            string x_7_pad_type_0 = const()[name = string("x_7_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_7_pad_0 = const()[name = string("x_7_pad_0"), val = tensor<int32, [2]>([7, 7])];
            tensor<int32, [1]> x_7_strides_0 = const()[name = string("x_7_strides_0"), val = tensor<int32, [1]>([15])];
            tensor<int32, [1]> x_7_dilations_0 = const()[name = string("x_7_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_7_groups_0 = const()[name = string("x_7_groups_0"), val = int32(1)];
            tensor<fp16, [256, 18, 30]> mel2wav_source_downs_0_weight_to_fp16 = const()[name = string("mel2wav_source_downs_0_weight_to_fp16"), val = tensor<fp16, [256, 18, 30]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(11314432)))];
            tensor<fp16, [256]> mel2wav_source_downs_0_bias_to_fp16 = const()[name = string("mel2wav_source_downs_0_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(11590976)))];
            tensor<fp16, [1, 256, 3072]> x_7_cast_fp16 = conv(bias = mel2wav_source_downs_0_bias_to_fp16, dilations = x_7_dilations_0, groups = x_7_groups_0, pad = x_7_pad_0, pad_type = x_7_pad_type_0, strides = x_7_strides_0, weight = mel2wav_source_downs_0_weight_to_fp16, x = input_33_cast_fp16)[name = string("x_7_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_1_to_fp16 = const()[name = string("alpha_1_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(11591552)))];
            tensor<fp16, [1, 256, 3072]> var_376_cast_fp16 = mul(x = x_7_cast_fp16, y = alpha_1_to_fp16)[name = string("op_376_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_377_cast_fp16 = sin(x = var_376_cast_fp16)[name = string("op_377_cast_fp16")];
            fp16 var_343_promoted_to_fp16 = const()[name = string("op_343_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_378_cast_fp16 = pow(x = var_377_cast_fp16, y = var_343_promoted_to_fp16)[name = string("op_378_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_373_to_fp16 = const()[name = string("op_373_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(11592128)))];
            tensor<fp16, [1, 256, 3072]> var_379_cast_fp16 = mul(x = var_373_to_fp16, y = var_378_cast_fp16)[name = string("op_379_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_35_cast_fp16 = add(x = x_7_cast_fp16, y = var_379_cast_fp16)[name = string("input_35_cast_fp16")];
            string x_9_pad_type_0 = const()[name = string("x_9_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_9_pad_0 = const()[name = string("x_9_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> x_9_strides_0 = const()[name = string("x_9_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_9_dilations_0 = const()[name = string("x_9_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_9_groups_0 = const()[name = string("x_9_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 7]> weight_15_to_fp16 = const()[name = string("weight_15_to_fp16"), val = tensor<fp16, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(11592704)))];
            tensor<fp16, [256]> mel2wav_source_resblocks_0_convs1_0_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_0_convs1_0_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(12510272)))];
            tensor<fp16, [1, 256, 3072]> x_9_cast_fp16 = conv(bias = mel2wav_source_resblocks_0_convs1_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 = weight_15_to_fp16, x = input_35_cast_fp16)[name = string("x_9_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_3_to_fp16 = const()[name = string("alpha_3_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(12510848)))];
            tensor<fp16, [1, 256, 3072]> var_400_cast_fp16 = mul(x = x_9_cast_fp16, y = alpha_3_to_fp16)[name = string("op_400_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_401_cast_fp16 = sin(x = var_400_cast_fp16)[name = string("op_401_cast_fp16")];
            fp16 var_343_promoted_1_to_fp16 = const()[name = string("op_343_promoted_1_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_402_cast_fp16 = pow(x = var_401_cast_fp16, y = var_343_promoted_1_to_fp16)[name = string("op_402_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_397_to_fp16 = const()[name = string("op_397_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(12511424)))];
            tensor<fp16, [1, 256, 3072]> var_403_cast_fp16 = mul(x = var_397_to_fp16, y = var_402_cast_fp16)[name = string("op_403_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_37_cast_fp16 = add(x = x_9_cast_fp16, y = var_403_cast_fp16)[name = string("input_37_cast_fp16")];
            string xt_1_pad_type_0 = const()[name = string("xt_1_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_1_pad_0 = const()[name = string("xt_1_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_1_strides_0 = const()[name = string("xt_1_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_1_dilations_0 = const()[name = string("xt_1_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_1_groups_0 = const()[name = string("xt_1_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 7]> weight_17_to_fp16 = const()[name = string("weight_17_to_fp16"), val = tensor<fp16, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(12512000)))];
            tensor<fp16, [256]> mel2wav_source_resblocks_0_convs2_0_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_0_convs2_0_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(13429568)))];
            tensor<fp16, [1, 256, 3072]> xt_1_cast_fp16 = conv(bias = mel2wav_source_resblocks_0_convs2_0_bias_to_fp16, dilations = xt_1_dilations_0, groups = xt_1_groups_0, pad = xt_1_pad_0, pad_type = xt_1_pad_type_0, strides = xt_1_strides_0, weight = weight_17_to_fp16, x = input_37_cast_fp16)[name = string("xt_1_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> x_11_cast_fp16 = add(x = xt_1_cast_fp16, y = x_7_cast_fp16)[name = string("x_11_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_5_to_fp16 = const()[name = string("alpha_5_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(13430144)))];
            tensor<fp16, [1, 256, 3072]> var_425_cast_fp16 = mul(x = x_11_cast_fp16, y = alpha_5_to_fp16)[name = string("op_425_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_426_cast_fp16 = sin(x = var_425_cast_fp16)[name = string("op_426_cast_fp16")];
            fp16 var_343_promoted_2_to_fp16 = const()[name = string("op_343_promoted_2_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_427_cast_fp16 = pow(x = var_426_cast_fp16, y = var_343_promoted_2_to_fp16)[name = string("op_427_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_422_to_fp16 = const()[name = string("op_422_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(13430720)))];
            tensor<fp16, [1, 256, 3072]> var_428_cast_fp16 = mul(x = var_422_to_fp16, y = var_427_cast_fp16)[name = string("op_428_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_39_cast_fp16 = add(x = x_11_cast_fp16, y = var_428_cast_fp16)[name = string("input_39_cast_fp16")];
            string x_13_pad_type_0 = const()[name = string("x_13_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_13_pad_0 = const()[name = string("x_13_pad_0"), val = tensor<int32, [2]>([9, 9])];
            tensor<int32, [1]> x_13_dilations_0 = const()[name = string("x_13_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_13_strides_0 = const()[name = string("x_13_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_13_groups_0 = const()[name = string("x_13_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 7]> weight_19_to_fp16 = const()[name = string("weight_19_to_fp16"), val = tensor<fp16, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(13431296)))];
            tensor<fp16, [256]> mel2wav_source_resblocks_0_convs1_1_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_0_convs1_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(14348864)))];
            tensor<fp16, [1, 256, 3072]> x_13_cast_fp16 = conv(bias = mel2wav_source_resblocks_0_convs1_1_bias_to_fp16, dilations = x_13_dilations_0, groups = x_13_groups_0, pad = x_13_pad_0, pad_type = x_13_pad_type_0, strides = x_13_strides_0, weight = weight_19_to_fp16, x = input_39_cast_fp16)[name = string("x_13_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_7_to_fp16 = const()[name = string("alpha_7_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(14349440)))];
            tensor<fp16, [1, 256, 3072]> var_449_cast_fp16 = mul(x = x_13_cast_fp16, y = alpha_7_to_fp16)[name = string("op_449_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_450_cast_fp16 = sin(x = var_449_cast_fp16)[name = string("op_450_cast_fp16")];
            fp16 var_343_promoted_3_to_fp16 = const()[name = string("op_343_promoted_3_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_451_cast_fp16 = pow(x = var_450_cast_fp16, y = var_343_promoted_3_to_fp16)[name = string("op_451_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_446_to_fp16 = const()[name = string("op_446_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(14350016)))];
            tensor<fp16, [1, 256, 3072]> var_452_cast_fp16 = mul(x = var_446_to_fp16, y = var_451_cast_fp16)[name = string("op_452_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_41_cast_fp16 = add(x = x_13_cast_fp16, y = var_452_cast_fp16)[name = string("input_41_cast_fp16")];
            string xt_3_pad_type_0 = const()[name = string("xt_3_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_3_pad_0 = const()[name = string("xt_3_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_3_strides_0 = const()[name = string("xt_3_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_3_dilations_0 = const()[name = string("xt_3_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_3_groups_0 = const()[name = string("xt_3_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 7]> weight_21_to_fp16 = const()[name = string("weight_21_to_fp16"), val = tensor<fp16, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(14350592)))];
            tensor<fp16, [256]> mel2wav_source_resblocks_0_convs2_1_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_0_convs2_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(15268160)))];
            tensor<fp16, [1, 256, 3072]> xt_3_cast_fp16 = conv(bias = mel2wav_source_resblocks_0_convs2_1_bias_to_fp16, dilations = xt_3_dilations_0, groups = xt_3_groups_0, pad = xt_3_pad_0, pad_type = xt_3_pad_type_0, strides = xt_3_strides_0, weight = weight_21_to_fp16, x = input_41_cast_fp16)[name = string("xt_3_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> x_15_cast_fp16 = add(x = xt_3_cast_fp16, y = x_11_cast_fp16)[name = string("x_15_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_9_to_fp16 = const()[name = string("alpha_9_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(15268736)))];
            tensor<fp16, [1, 256, 3072]> var_474_cast_fp16 = mul(x = x_15_cast_fp16, y = alpha_9_to_fp16)[name = string("op_474_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_475_cast_fp16 = sin(x = var_474_cast_fp16)[name = string("op_475_cast_fp16")];
            fp16 var_343_promoted_4_to_fp16 = const()[name = string("op_343_promoted_4_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_476_cast_fp16 = pow(x = var_475_cast_fp16, y = var_343_promoted_4_to_fp16)[name = string("op_476_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_471_to_fp16 = const()[name = string("op_471_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(15269312)))];
            tensor<fp16, [1, 256, 3072]> var_477_cast_fp16 = mul(x = var_471_to_fp16, y = var_476_cast_fp16)[name = string("op_477_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_43_cast_fp16 = add(x = x_15_cast_fp16, y = var_477_cast_fp16)[name = string("input_43_cast_fp16")];
            string x_17_pad_type_0 = const()[name = string("x_17_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_17_pad_0 = const()[name = string("x_17_pad_0"), val = tensor<int32, [2]>([15, 15])];
            tensor<int32, [1]> x_17_dilations_0 = const()[name = string("x_17_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_17_strides_0 = const()[name = string("x_17_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_17_groups_0 = const()[name = string("x_17_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 7]> weight_23_to_fp16 = const()[name = string("weight_23_to_fp16"), val = tensor<fp16, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(15269888)))];
            tensor<fp16, [256]> mel2wav_source_resblocks_0_convs1_2_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_0_convs1_2_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(16187456)))];
            tensor<fp16, [1, 256, 3072]> x_17_cast_fp16 = conv(bias = mel2wav_source_resblocks_0_convs1_2_bias_to_fp16, dilations = x_17_dilations_0, groups = x_17_groups_0, pad = x_17_pad_0, pad_type = x_17_pad_type_0, strides = x_17_strides_0, weight = weight_23_to_fp16, x = input_43_cast_fp16)[name = string("x_17_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_11_to_fp16 = const()[name = string("alpha_11_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(16188032)))];
            tensor<fp16, [1, 256, 3072]> var_498_cast_fp16 = mul(x = x_17_cast_fp16, y = alpha_11_to_fp16)[name = string("op_498_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_499_cast_fp16 = sin(x = var_498_cast_fp16)[name = string("op_499_cast_fp16")];
            fp16 var_343_promoted_5_to_fp16 = const()[name = string("op_343_promoted_5_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_500_cast_fp16 = pow(x = var_499_cast_fp16, y = var_343_promoted_5_to_fp16)[name = string("op_500_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_495_to_fp16 = const()[name = string("op_495_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(16188608)))];
            tensor<fp16, [1, 256, 3072]> var_501_cast_fp16 = mul(x = var_495_to_fp16, y = var_500_cast_fp16)[name = string("op_501_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_45_cast_fp16 = add(x = x_17_cast_fp16, y = var_501_cast_fp16)[name = string("input_45_cast_fp16")];
            string xt_5_pad_type_0 = const()[name = string("xt_5_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_5_pad_0 = const()[name = string("xt_5_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_5_strides_0 = const()[name = string("xt_5_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_5_dilations_0 = const()[name = string("xt_5_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_5_groups_0 = const()[name = string("xt_5_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 7]> weight_25_to_fp16 = const()[name = string("weight_25_to_fp16"), val = tensor<fp16, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(16189184)))];
            tensor<fp16, [256]> mel2wav_source_resblocks_0_convs2_2_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_0_convs2_2_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17106752)))];
            tensor<fp16, [1, 256, 3072]> xt_5_cast_fp16 = conv(bias = mel2wav_source_resblocks_0_convs2_2_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_25_to_fp16, x = input_45_cast_fp16)[name = string("xt_5_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> si_1_cast_fp16 = add(x = xt_5_cast_fp16, y = x_15_cast_fp16)[name = string("si_1_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> x_21_cast_fp16 = add(x = x_19_has_output_shape_cast_fp16, y = si_1_cast_fp16)[name = string("x_21_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_13_to_fp16 = const()[name = string("alpha_13_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17107328)))];
            tensor<fp16, [1, 256, 3072]> var_557_cast_fp16 = mul(x = x_21_cast_fp16, y = alpha_13_to_fp16)[name = string("op_557_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_558_cast_fp16 = sin(x = var_557_cast_fp16)[name = string("op_558_cast_fp16")];
            fp16 var_524_promoted_to_fp16 = const()[name = string("op_524_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_559_cast_fp16 = pow(x = var_558_cast_fp16, y = var_524_promoted_to_fp16)[name = string("op_559_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_554_to_fp16 = const()[name = string("op_554_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17107904)))];
            tensor<fp16, [1, 256, 3072]> var_560_cast_fp16 = mul(x = var_554_to_fp16, y = var_559_cast_fp16)[name = string("op_560_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_47_cast_fp16 = add(x = x_21_cast_fp16, y = var_560_cast_fp16)[name = string("input_47_cast_fp16")];
            string x_23_pad_type_0 = const()[name = string("x_23_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_23_pad_0 = const()[name = string("x_23_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> x_23_strides_0 = const()[name = string("x_23_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_23_dilations_0 = const()[name = string("x_23_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_23_groups_0 = const()[name = string("x_23_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 3]> weight_27_to_fp16 = const()[name = string("weight_27_to_fp16"), val = tensor<fp16, [256, 256, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17108480)))];
            tensor<fp16, [256]> mel2wav_resblocks_0_convs1_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_0_convs1_0_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17501760)))];
            tensor<fp16, [1, 256, 3072]> x_23_cast_fp16 = conv(bias = mel2wav_resblocks_0_convs1_0_bias_to_fp16, dilations = x_23_dilations_0, groups = x_23_groups_0, pad = x_23_pad_0, pad_type = x_23_pad_type_0, strides = x_23_strides_0, weight = weight_27_to_fp16, x = input_47_cast_fp16)[name = string("x_23_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_15_to_fp16 = const()[name = string("alpha_15_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17502336)))];
            tensor<fp16, [1, 256, 3072]> var_581_cast_fp16 = mul(x = x_23_cast_fp16, y = alpha_15_to_fp16)[name = string("op_581_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_582_cast_fp16 = sin(x = var_581_cast_fp16)[name = string("op_582_cast_fp16")];
            fp16 var_524_promoted_1_to_fp16 = const()[name = string("op_524_promoted_1_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_583_cast_fp16 = pow(x = var_582_cast_fp16, y = var_524_promoted_1_to_fp16)[name = string("op_583_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_578_to_fp16 = const()[name = string("op_578_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17502912)))];
            tensor<fp16, [1, 256, 3072]> var_584_cast_fp16 = mul(x = var_578_to_fp16, y = var_583_cast_fp16)[name = string("op_584_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_49_cast_fp16 = add(x = x_23_cast_fp16, y = var_584_cast_fp16)[name = string("input_49_cast_fp16")];
            string xt_7_pad_type_0 = const()[name = string("xt_7_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_7_pad_0 = const()[name = string("xt_7_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> xt_7_strides_0 = const()[name = string("xt_7_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_7_dilations_0 = const()[name = string("xt_7_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_7_groups_0 = const()[name = string("xt_7_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 3]> weight_29_to_fp16 = const()[name = string("weight_29_to_fp16"), val = tensor<fp16, [256, 256, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17503488)))];
            tensor<fp16, [256]> mel2wav_resblocks_0_convs2_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_0_convs2_0_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17896768)))];
            tensor<fp16, [1, 256, 3072]> xt_7_cast_fp16 = conv(bias = mel2wav_resblocks_0_convs2_0_bias_to_fp16, dilations = xt_7_dilations_0, groups = xt_7_groups_0, pad = xt_7_pad_0, pad_type = xt_7_pad_type_0, strides = xt_7_strides_0, weight = weight_29_to_fp16, x = input_49_cast_fp16)[name = string("xt_7_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> x_25_cast_fp16 = add(x = xt_7_cast_fp16, y = x_21_cast_fp16)[name = string("x_25_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_17_to_fp16 = const()[name = string("alpha_17_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17897344)))];
            tensor<fp16, [1, 256, 3072]> var_606_cast_fp16 = mul(x = x_25_cast_fp16, y = alpha_17_to_fp16)[name = string("op_606_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_607_cast_fp16 = sin(x = var_606_cast_fp16)[name = string("op_607_cast_fp16")];
            fp16 var_524_promoted_2_to_fp16 = const()[name = string("op_524_promoted_2_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_608_cast_fp16 = pow(x = var_607_cast_fp16, y = var_524_promoted_2_to_fp16)[name = string("op_608_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_603_to_fp16 = const()[name = string("op_603_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17897920)))];
            tensor<fp16, [1, 256, 3072]> var_609_cast_fp16 = mul(x = var_603_to_fp16, y = var_608_cast_fp16)[name = string("op_609_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_51_cast_fp16 = add(x = x_25_cast_fp16, y = var_609_cast_fp16)[name = string("input_51_cast_fp16")];
            string x_27_pad_type_0 = const()[name = string("x_27_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_27_pad_0 = const()[name = string("x_27_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> x_27_dilations_0 = const()[name = string("x_27_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_27_strides_0 = const()[name = string("x_27_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_27_groups_0 = const()[name = string("x_27_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 3]> weight_31_to_fp16 = const()[name = string("weight_31_to_fp16"), val = tensor<fp16, [256, 256, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(17898496)))];
            tensor<fp16, [256]> mel2wav_resblocks_0_convs1_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_0_convs1_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(18291776)))];
            tensor<fp16, [1, 256, 3072]> x_27_cast_fp16 = conv(bias = mel2wav_resblocks_0_convs1_1_bias_to_fp16, dilations = x_27_dilations_0, groups = x_27_groups_0, pad = x_27_pad_0, pad_type = x_27_pad_type_0, strides = x_27_strides_0, weight = weight_31_to_fp16, x = input_51_cast_fp16)[name = string("x_27_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_19_to_fp16 = const()[name = string("alpha_19_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(18292352)))];
            tensor<fp16, [1, 256, 3072]> var_630_cast_fp16 = mul(x = x_27_cast_fp16, y = alpha_19_to_fp16)[name = string("op_630_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_631_cast_fp16 = sin(x = var_630_cast_fp16)[name = string("op_631_cast_fp16")];
            fp16 var_524_promoted_3_to_fp16 = const()[name = string("op_524_promoted_3_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_632_cast_fp16 = pow(x = var_631_cast_fp16, y = var_524_promoted_3_to_fp16)[name = string("op_632_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_627_to_fp16 = const()[name = string("op_627_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(18292928)))];
            tensor<fp16, [1, 256, 3072]> var_633_cast_fp16 = mul(x = var_627_to_fp16, y = var_632_cast_fp16)[name = string("op_633_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_53_cast_fp16 = add(x = x_27_cast_fp16, y = var_633_cast_fp16)[name = string("input_53_cast_fp16")];
            string xt_9_pad_type_0 = const()[name = string("xt_9_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_9_pad_0 = const()[name = string("xt_9_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> xt_9_strides_0 = const()[name = string("xt_9_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_9_dilations_0 = const()[name = string("xt_9_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_9_groups_0 = const()[name = string("xt_9_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 3]> weight_33_to_fp16 = const()[name = string("weight_33_to_fp16"), val = tensor<fp16, [256, 256, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(18293504)))];
            tensor<fp16, [256]> mel2wav_resblocks_0_convs2_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_0_convs2_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(18686784)))];
            tensor<fp16, [1, 256, 3072]> xt_9_cast_fp16 = conv(bias = mel2wav_resblocks_0_convs2_1_bias_to_fp16, dilations = xt_9_dilations_0, groups = xt_9_groups_0, pad = xt_9_pad_0, pad_type = xt_9_pad_type_0, strides = xt_9_strides_0, weight = weight_33_to_fp16, x = input_53_cast_fp16)[name = string("xt_9_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> x_29_cast_fp16 = add(x = xt_9_cast_fp16, y = x_25_cast_fp16)[name = string("x_29_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_21_to_fp16 = const()[name = string("alpha_21_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(18687360)))];
            tensor<fp16, [1, 256, 3072]> var_655_cast_fp16 = mul(x = x_29_cast_fp16, y = alpha_21_to_fp16)[name = string("op_655_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_656_cast_fp16 = sin(x = var_655_cast_fp16)[name = string("op_656_cast_fp16")];
            fp16 var_524_promoted_4_to_fp16 = const()[name = string("op_524_promoted_4_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_657_cast_fp16 = pow(x = var_656_cast_fp16, y = var_524_promoted_4_to_fp16)[name = string("op_657_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_652_to_fp16 = const()[name = string("op_652_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(18687936)))];
            tensor<fp16, [1, 256, 3072]> var_658_cast_fp16 = mul(x = var_652_to_fp16, y = var_657_cast_fp16)[name = string("op_658_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_55_cast_fp16 = add(x = x_29_cast_fp16, y = var_658_cast_fp16)[name = string("input_55_cast_fp16")];
            string x_31_pad_type_0 = const()[name = string("x_31_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_31_pad_0 = const()[name = string("x_31_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> x_31_dilations_0 = const()[name = string("x_31_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_31_strides_0 = const()[name = string("x_31_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_31_groups_0 = const()[name = string("x_31_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 3]> weight_35_to_fp16 = const()[name = string("weight_35_to_fp16"), val = tensor<fp16, [256, 256, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(18688512)))];
            tensor<fp16, [256]> mel2wav_resblocks_0_convs1_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_0_convs1_2_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(19081792)))];
            tensor<fp16, [1, 256, 3072]> x_31_cast_fp16 = conv(bias = mel2wav_resblocks_0_convs1_2_bias_to_fp16, dilations = x_31_dilations_0, groups = x_31_groups_0, pad = x_31_pad_0, pad_type = x_31_pad_type_0, strides = x_31_strides_0, weight = weight_35_to_fp16, x = input_55_cast_fp16)[name = string("x_31_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_23_to_fp16 = const()[name = string("alpha_23_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(19082368)))];
            tensor<fp16, [1, 256, 3072]> var_679_cast_fp16 = mul(x = x_31_cast_fp16, y = alpha_23_to_fp16)[name = string("op_679_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_680_cast_fp16 = sin(x = var_679_cast_fp16)[name = string("op_680_cast_fp16")];
            fp16 var_524_promoted_5_to_fp16 = const()[name = string("op_524_promoted_5_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_681_cast_fp16 = pow(x = var_680_cast_fp16, y = var_524_promoted_5_to_fp16)[name = string("op_681_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_676_to_fp16 = const()[name = string("op_676_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(19082944)))];
            tensor<fp16, [1, 256, 3072]> var_682_cast_fp16 = mul(x = var_676_to_fp16, y = var_681_cast_fp16)[name = string("op_682_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_57_cast_fp16 = add(x = x_31_cast_fp16, y = var_682_cast_fp16)[name = string("input_57_cast_fp16")];
            string xt_11_pad_type_0 = const()[name = string("xt_11_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_11_pad_0 = const()[name = string("xt_11_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> xt_11_strides_0 = const()[name = string("xt_11_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_11_dilations_0 = const()[name = string("xt_11_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_11_groups_0 = const()[name = string("xt_11_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 3]> weight_37_to_fp16 = const()[name = string("weight_37_to_fp16"), val = tensor<fp16, [256, 256, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(19083520)))];
            tensor<fp16, [256]> mel2wav_resblocks_0_convs2_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_0_convs2_2_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(19476800)))];
            tensor<fp16, [1, 256, 3072]> xt_11_cast_fp16 = conv(bias = mel2wav_resblocks_0_convs2_2_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_37_to_fp16, x = input_57_cast_fp16)[name = string("xt_11_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> xs_1_cast_fp16 = add(x = xt_11_cast_fp16, y = x_29_cast_fp16)[name = string("xs_1_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_25_to_fp16 = const()[name = string("alpha_25_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(19477376)))];
            tensor<fp16, [1, 256, 3072]> var_738_cast_fp16 = mul(x = x_21_cast_fp16, y = alpha_25_to_fp16)[name = string("op_738_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_739_cast_fp16 = sin(x = var_738_cast_fp16)[name = string("op_739_cast_fp16")];
            fp16 var_705_promoted_to_fp16 = const()[name = string("op_705_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_740_cast_fp16 = pow(x = var_739_cast_fp16, y = var_705_promoted_to_fp16)[name = string("op_740_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_735_to_fp16 = const()[name = string("op_735_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(19477952)))];
            tensor<fp16, [1, 256, 3072]> var_741_cast_fp16 = mul(x = var_735_to_fp16, y = var_740_cast_fp16)[name = string("op_741_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_59_cast_fp16 = add(x = x_21_cast_fp16, y = var_741_cast_fp16)[name = string("input_59_cast_fp16")];
            string x_33_pad_type_0 = const()[name = string("x_33_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_33_pad_0 = const()[name = string("x_33_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> x_33_strides_0 = const()[name = string("x_33_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_33_dilations_0 = const()[name = string("x_33_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_33_groups_0 = const()[name = string("x_33_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 7]> weight_39_to_fp16 = const()[name = string("weight_39_to_fp16"), val = tensor<fp16, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(19478528)))];
            tensor<fp16, [256]> mel2wav_resblocks_1_convs1_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_1_convs1_0_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(20396096)))];
            tensor<fp16, [1, 256, 3072]> x_33_cast_fp16 = conv(bias = mel2wav_resblocks_1_convs1_0_bias_to_fp16, dilations = x_33_dilations_0, groups = x_33_groups_0, pad = x_33_pad_0, pad_type = x_33_pad_type_0, strides = x_33_strides_0, weight = weight_39_to_fp16, x = input_59_cast_fp16)[name = string("x_33_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_27_to_fp16 = const()[name = string("alpha_27_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(20396672)))];
            tensor<fp16, [1, 256, 3072]> var_762_cast_fp16 = mul(x = x_33_cast_fp16, y = alpha_27_to_fp16)[name = string("op_762_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_763_cast_fp16 = sin(x = var_762_cast_fp16)[name = string("op_763_cast_fp16")];
            fp16 var_705_promoted_1_to_fp16 = const()[name = string("op_705_promoted_1_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_764_cast_fp16 = pow(x = var_763_cast_fp16, y = var_705_promoted_1_to_fp16)[name = string("op_764_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_759_to_fp16 = const()[name = string("op_759_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(20397248)))];
            tensor<fp16, [1, 256, 3072]> var_765_cast_fp16 = mul(x = var_759_to_fp16, y = var_764_cast_fp16)[name = string("op_765_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_61_cast_fp16 = add(x = x_33_cast_fp16, y = var_765_cast_fp16)[name = string("input_61_cast_fp16")];
            string xt_13_pad_type_0 = const()[name = string("xt_13_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_13_pad_0 = const()[name = string("xt_13_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_13_strides_0 = const()[name = string("xt_13_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_13_dilations_0 = const()[name = string("xt_13_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_13_groups_0 = const()[name = string("xt_13_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 7]> weight_41_to_fp16 = const()[name = string("weight_41_to_fp16"), val = tensor<fp16, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(20397824)))];
            tensor<fp16, [256]> mel2wav_resblocks_1_convs2_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_1_convs2_0_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(21315392)))];
            tensor<fp16, [1, 256, 3072]> xt_13_cast_fp16 = conv(bias = mel2wav_resblocks_1_convs2_0_bias_to_fp16, dilations = xt_13_dilations_0, groups = xt_13_groups_0, pad = xt_13_pad_0, pad_type = xt_13_pad_type_0, strides = xt_13_strides_0, weight = weight_41_to_fp16, x = input_61_cast_fp16)[name = string("xt_13_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> x_35_cast_fp16 = add(x = xt_13_cast_fp16, y = x_21_cast_fp16)[name = string("x_35_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_29_to_fp16 = const()[name = string("alpha_29_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(21315968)))];
            tensor<fp16, [1, 256, 3072]> var_787_cast_fp16 = mul(x = x_35_cast_fp16, y = alpha_29_to_fp16)[name = string("op_787_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_788_cast_fp16 = sin(x = var_787_cast_fp16)[name = string("op_788_cast_fp16")];
            fp16 var_705_promoted_2_to_fp16 = const()[name = string("op_705_promoted_2_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_789_cast_fp16 = pow(x = var_788_cast_fp16, y = var_705_promoted_2_to_fp16)[name = string("op_789_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_784_to_fp16 = const()[name = string("op_784_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(21316544)))];
            tensor<fp16, [1, 256, 3072]> var_790_cast_fp16 = mul(x = var_784_to_fp16, y = var_789_cast_fp16)[name = string("op_790_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_63_cast_fp16 = add(x = x_35_cast_fp16, y = var_790_cast_fp16)[name = string("input_63_cast_fp16")];
            string x_37_pad_type_0 = const()[name = string("x_37_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_37_pad_0 = const()[name = string("x_37_pad_0"), val = tensor<int32, [2]>([9, 9])];
            tensor<int32, [1]> x_37_dilations_0 = const()[name = string("x_37_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_37_strides_0 = const()[name = string("x_37_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_37_groups_0 = const()[name = string("x_37_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 7]> weight_43_to_fp16 = const()[name = string("weight_43_to_fp16"), val = tensor<fp16, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(21317120)))];
            tensor<fp16, [256]> mel2wav_resblocks_1_convs1_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_1_convs1_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(22234688)))];
            tensor<fp16, [1, 256, 3072]> x_37_cast_fp16 = conv(bias = mel2wav_resblocks_1_convs1_1_bias_to_fp16, dilations = x_37_dilations_0, groups = x_37_groups_0, pad = x_37_pad_0, pad_type = x_37_pad_type_0, strides = x_37_strides_0, weight = weight_43_to_fp16, x = input_63_cast_fp16)[name = string("x_37_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_31_to_fp16 = const()[name = string("alpha_31_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(22235264)))];
            tensor<fp16, [1, 256, 3072]> var_811_cast_fp16 = mul(x = x_37_cast_fp16, y = alpha_31_to_fp16)[name = string("op_811_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_812_cast_fp16 = sin(x = var_811_cast_fp16)[name = string("op_812_cast_fp16")];
            fp16 var_705_promoted_3_to_fp16 = const()[name = string("op_705_promoted_3_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_813_cast_fp16 = pow(x = var_812_cast_fp16, y = var_705_promoted_3_to_fp16)[name = string("op_813_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_808_to_fp16 = const()[name = string("op_808_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(22235840)))];
            tensor<fp16, [1, 256, 3072]> var_814_cast_fp16 = mul(x = var_808_to_fp16, y = var_813_cast_fp16)[name = string("op_814_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_65_cast_fp16 = add(x = x_37_cast_fp16, y = var_814_cast_fp16)[name = string("input_65_cast_fp16")];
            string xt_15_pad_type_0 = const()[name = string("xt_15_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_15_pad_0 = const()[name = string("xt_15_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_15_strides_0 = const()[name = string("xt_15_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_15_dilations_0 = const()[name = string("xt_15_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_15_groups_0 = const()[name = string("xt_15_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 7]> weight_45_to_fp16 = const()[name = string("weight_45_to_fp16"), val = tensor<fp16, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(22236416)))];
            tensor<fp16, [256]> mel2wav_resblocks_1_convs2_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_1_convs2_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(23153984)))];
            tensor<fp16, [1, 256, 3072]> xt_15_cast_fp16 = conv(bias = mel2wav_resblocks_1_convs2_1_bias_to_fp16, dilations = xt_15_dilations_0, groups = xt_15_groups_0, pad = xt_15_pad_0, pad_type = xt_15_pad_type_0, strides = xt_15_strides_0, weight = weight_45_to_fp16, x = input_65_cast_fp16)[name = string("xt_15_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> x_39_cast_fp16 = add(x = xt_15_cast_fp16, y = x_35_cast_fp16)[name = string("x_39_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_33_to_fp16 = const()[name = string("alpha_33_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(23154560)))];
            tensor<fp16, [1, 256, 3072]> var_836_cast_fp16 = mul(x = x_39_cast_fp16, y = alpha_33_to_fp16)[name = string("op_836_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_837_cast_fp16 = sin(x = var_836_cast_fp16)[name = string("op_837_cast_fp16")];
            fp16 var_705_promoted_4_to_fp16 = const()[name = string("op_705_promoted_4_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_838_cast_fp16 = pow(x = var_837_cast_fp16, y = var_705_promoted_4_to_fp16)[name = string("op_838_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_833_to_fp16 = const()[name = string("op_833_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(23155136)))];
            tensor<fp16, [1, 256, 3072]> var_839_cast_fp16 = mul(x = var_833_to_fp16, y = var_838_cast_fp16)[name = string("op_839_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_67_cast_fp16 = add(x = x_39_cast_fp16, y = var_839_cast_fp16)[name = string("input_67_cast_fp16")];
            string x_41_pad_type_0 = const()[name = string("x_41_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_41_pad_0 = const()[name = string("x_41_pad_0"), val = tensor<int32, [2]>([15, 15])];
            tensor<int32, [1]> x_41_dilations_0 = const()[name = string("x_41_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_41_strides_0 = const()[name = string("x_41_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_41_groups_0 = const()[name = string("x_41_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 7]> weight_47_to_fp16 = const()[name = string("weight_47_to_fp16"), val = tensor<fp16, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(23155712)))];
            tensor<fp16, [256]> mel2wav_resblocks_1_convs1_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_1_convs1_2_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(24073280)))];
            tensor<fp16, [1, 256, 3072]> x_41_cast_fp16 = conv(bias = mel2wav_resblocks_1_convs1_2_bias_to_fp16, dilations = x_41_dilations_0, groups = x_41_groups_0, pad = x_41_pad_0, pad_type = x_41_pad_type_0, strides = x_41_strides_0, weight = weight_47_to_fp16, x = input_67_cast_fp16)[name = string("x_41_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_35_to_fp16 = const()[name = string("alpha_35_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(24073856)))];
            tensor<fp16, [1, 256, 3072]> var_860_cast_fp16 = mul(x = x_41_cast_fp16, y = alpha_35_to_fp16)[name = string("op_860_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_861_cast_fp16 = sin(x = var_860_cast_fp16)[name = string("op_861_cast_fp16")];
            fp16 var_705_promoted_5_to_fp16 = const()[name = string("op_705_promoted_5_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_862_cast_fp16 = pow(x = var_861_cast_fp16, y = var_705_promoted_5_to_fp16)[name = string("op_862_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_857_to_fp16 = const()[name = string("op_857_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(24074432)))];
            tensor<fp16, [1, 256, 3072]> var_863_cast_fp16 = mul(x = var_857_to_fp16, y = var_862_cast_fp16)[name = string("op_863_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_69_cast_fp16 = add(x = x_41_cast_fp16, y = var_863_cast_fp16)[name = string("input_69_cast_fp16")];
            string xt_17_pad_type_0 = const()[name = string("xt_17_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_17_pad_0 = const()[name = string("xt_17_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_17_strides_0 = const()[name = string("xt_17_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_17_dilations_0 = const()[name = string("xt_17_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_17_groups_0 = const()[name = string("xt_17_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 7]> weight_49_to_fp16 = const()[name = string("weight_49_to_fp16"), val = tensor<fp16, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(24075008)))];
            tensor<fp16, [256]> mel2wav_resblocks_1_convs2_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_1_convs2_2_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(24992576)))];
            tensor<fp16, [1, 256, 3072]> xt_17_cast_fp16 = conv(bias = mel2wav_resblocks_1_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_49_to_fp16, x = input_69_cast_fp16)[name = string("xt_17_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_876_cast_fp16 = add(x = xt_17_cast_fp16, y = x_39_cast_fp16)[name = string("op_876_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> xs_3_cast_fp16 = add(x = xs_1_cast_fp16, y = var_876_cast_fp16)[name = string("xs_3_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_37_to_fp16 = const()[name = string("alpha_37_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(24993152)))];
            tensor<fp16, [1, 256, 3072]> var_921_cast_fp16 = mul(x = x_21_cast_fp16, y = alpha_37_to_fp16)[name = string("op_921_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_922_cast_fp16 = sin(x = var_921_cast_fp16)[name = string("op_922_cast_fp16")];
            fp16 var_888_promoted_to_fp16 = const()[name = string("op_888_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_923_cast_fp16 = pow(x = var_922_cast_fp16, y = var_888_promoted_to_fp16)[name = string("op_923_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_918_to_fp16 = const()[name = string("op_918_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(24993728)))];
            tensor<fp16, [1, 256, 3072]> var_924_cast_fp16 = mul(x = var_918_to_fp16, y = var_923_cast_fp16)[name = string("op_924_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_71_cast_fp16 = add(x = x_21_cast_fp16, y = var_924_cast_fp16)[name = string("input_71_cast_fp16")];
            string x_43_pad_type_0 = const()[name = string("x_43_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_43_pad_0 = const()[name = string("x_43_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> x_43_strides_0 = const()[name = string("x_43_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_43_dilations_0 = const()[name = string("x_43_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_43_groups_0 = const()[name = string("x_43_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 11]> weight_51_to_fp16 = const()[name = string("weight_51_to_fp16"), val = tensor<fp16, [256, 256, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(24994304)))];
            tensor<fp16, [256]> mel2wav_resblocks_2_convs1_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_2_convs1_0_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(26436160)))];
            tensor<fp16, [1, 256, 3072]> x_43_cast_fp16 = conv(bias = mel2wav_resblocks_2_convs1_0_bias_to_fp16, dilations = x_43_dilations_0, groups = x_43_groups_0, pad = x_43_pad_0, pad_type = x_43_pad_type_0, strides = x_43_strides_0, weight = weight_51_to_fp16, x = input_71_cast_fp16)[name = string("x_43_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_39_to_fp16 = const()[name = string("alpha_39_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(26436736)))];
            tensor<fp16, [1, 256, 3072]> var_945_cast_fp16 = mul(x = x_43_cast_fp16, y = alpha_39_to_fp16)[name = string("op_945_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_946_cast_fp16 = sin(x = var_945_cast_fp16)[name = string("op_946_cast_fp16")];
            fp16 var_888_promoted_1_to_fp16 = const()[name = string("op_888_promoted_1_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_947_cast_fp16 = pow(x = var_946_cast_fp16, y = var_888_promoted_1_to_fp16)[name = string("op_947_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_942_to_fp16 = const()[name = string("op_942_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(26437312)))];
            tensor<fp16, [1, 256, 3072]> var_948_cast_fp16 = mul(x = var_942_to_fp16, y = var_947_cast_fp16)[name = string("op_948_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_73_cast_fp16 = add(x = x_43_cast_fp16, y = var_948_cast_fp16)[name = string("input_73_cast_fp16")];
            string xt_19_pad_type_0 = const()[name = string("xt_19_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_19_pad_0 = const()[name = string("xt_19_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> xt_19_strides_0 = const()[name = string("xt_19_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_19_dilations_0 = const()[name = string("xt_19_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_19_groups_0 = const()[name = string("xt_19_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 11]> weight_53_to_fp16 = const()[name = string("weight_53_to_fp16"), val = tensor<fp16, [256, 256, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(26437888)))];
            tensor<fp16, [256]> mel2wav_resblocks_2_convs2_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_2_convs2_0_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(27879744)))];
            tensor<fp16, [1, 256, 3072]> xt_19_cast_fp16 = conv(bias = mel2wav_resblocks_2_convs2_0_bias_to_fp16, dilations = xt_19_dilations_0, groups = xt_19_groups_0, pad = xt_19_pad_0, pad_type = xt_19_pad_type_0, strides = xt_19_strides_0, weight = weight_53_to_fp16, x = input_73_cast_fp16)[name = string("xt_19_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> x_45_cast_fp16 = add(x = xt_19_cast_fp16, y = x_21_cast_fp16)[name = string("x_45_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_41_to_fp16 = const()[name = string("alpha_41_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(27880320)))];
            tensor<fp16, [1, 256, 3072]> var_970_cast_fp16 = mul(x = x_45_cast_fp16, y = alpha_41_to_fp16)[name = string("op_970_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_971_cast_fp16 = sin(x = var_970_cast_fp16)[name = string("op_971_cast_fp16")];
            fp16 var_888_promoted_2_to_fp16 = const()[name = string("op_888_promoted_2_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_972_cast_fp16 = pow(x = var_971_cast_fp16, y = var_888_promoted_2_to_fp16)[name = string("op_972_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_967_to_fp16 = const()[name = string("op_967_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(27880896)))];
            tensor<fp16, [1, 256, 3072]> var_973_cast_fp16 = mul(x = var_967_to_fp16, y = var_972_cast_fp16)[name = string("op_973_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_75_cast_fp16 = add(x = x_45_cast_fp16, y = var_973_cast_fp16)[name = string("input_75_cast_fp16")];
            string x_47_pad_type_0 = const()[name = string("x_47_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_47_pad_0 = const()[name = string("x_47_pad_0"), val = tensor<int32, [2]>([15, 15])];
            tensor<int32, [1]> x_47_dilations_0 = const()[name = string("x_47_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_47_strides_0 = const()[name = string("x_47_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_47_groups_0 = const()[name = string("x_47_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 11]> weight_55_to_fp16 = const()[name = string("weight_55_to_fp16"), val = tensor<fp16, [256, 256, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(27881472)))];
            tensor<fp16, [256]> mel2wav_resblocks_2_convs1_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_2_convs1_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(29323328)))];
            tensor<fp16, [1, 256, 3072]> x_47_cast_fp16 = conv(bias = mel2wav_resblocks_2_convs1_1_bias_to_fp16, dilations = x_47_dilations_0, groups = x_47_groups_0, pad = x_47_pad_0, pad_type = x_47_pad_type_0, strides = x_47_strides_0, weight = weight_55_to_fp16, x = input_75_cast_fp16)[name = string("x_47_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_43_to_fp16 = const()[name = string("alpha_43_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(29323904)))];
            tensor<fp16, [1, 256, 3072]> var_994_cast_fp16 = mul(x = x_47_cast_fp16, y = alpha_43_to_fp16)[name = string("op_994_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_995_cast_fp16 = sin(x = var_994_cast_fp16)[name = string("op_995_cast_fp16")];
            fp16 var_888_promoted_3_to_fp16 = const()[name = string("op_888_promoted_3_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_996_cast_fp16 = pow(x = var_995_cast_fp16, y = var_888_promoted_3_to_fp16)[name = string("op_996_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_991_to_fp16 = const()[name = string("op_991_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(29324480)))];
            tensor<fp16, [1, 256, 3072]> var_997_cast_fp16 = mul(x = var_991_to_fp16, y = var_996_cast_fp16)[name = string("op_997_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_77_cast_fp16 = add(x = x_47_cast_fp16, y = var_997_cast_fp16)[name = string("input_77_cast_fp16")];
            string xt_21_pad_type_0 = const()[name = string("xt_21_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_21_pad_0 = const()[name = string("xt_21_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> xt_21_strides_0 = const()[name = string("xt_21_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_21_dilations_0 = const()[name = string("xt_21_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_21_groups_0 = const()[name = string("xt_21_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 11]> weight_57_to_fp16 = const()[name = string("weight_57_to_fp16"), val = tensor<fp16, [256, 256, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(29325056)))];
            tensor<fp16, [256]> mel2wav_resblocks_2_convs2_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_2_convs2_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(30766912)))];
            tensor<fp16, [1, 256, 3072]> xt_21_cast_fp16 = conv(bias = mel2wav_resblocks_2_convs2_1_bias_to_fp16, dilations = xt_21_dilations_0, groups = xt_21_groups_0, pad = xt_21_pad_0, pad_type = xt_21_pad_type_0, strides = xt_21_strides_0, weight = weight_57_to_fp16, x = input_77_cast_fp16)[name = string("xt_21_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> x_49_cast_fp16 = add(x = xt_21_cast_fp16, y = x_45_cast_fp16)[name = string("x_49_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_45_to_fp16 = const()[name = string("alpha_45_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(30767488)))];
            tensor<fp16, [1, 256, 3072]> var_1019_cast_fp16 = mul(x = x_49_cast_fp16, y = alpha_45_to_fp16)[name = string("op_1019_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_1020_cast_fp16 = sin(x = var_1019_cast_fp16)[name = string("op_1020_cast_fp16")];
            fp16 var_888_promoted_4_to_fp16 = const()[name = string("op_888_promoted_4_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_1021_cast_fp16 = pow(x = var_1020_cast_fp16, y = var_888_promoted_4_to_fp16)[name = string("op_1021_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_1016_to_fp16 = const()[name = string("op_1016_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(30768064)))];
            tensor<fp16, [1, 256, 3072]> var_1022_cast_fp16 = mul(x = var_1016_to_fp16, y = var_1021_cast_fp16)[name = string("op_1022_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_79_cast_fp16 = add(x = x_49_cast_fp16, y = var_1022_cast_fp16)[name = string("input_79_cast_fp16")];
            string x_51_pad_type_0 = const()[name = string("x_51_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_51_pad_0 = const()[name = string("x_51_pad_0"), val = tensor<int32, [2]>([25, 25])];
            tensor<int32, [1]> x_51_dilations_0 = const()[name = string("x_51_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_51_strides_0 = const()[name = string("x_51_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_51_groups_0 = const()[name = string("x_51_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 11]> weight_59_to_fp16 = const()[name = string("weight_59_to_fp16"), val = tensor<fp16, [256, 256, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(30768640)))];
            tensor<fp16, [256]> mel2wav_resblocks_2_convs1_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_2_convs1_2_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(32210496)))];
            tensor<fp16, [1, 256, 3072]> x_51_cast_fp16 = conv(bias = mel2wav_resblocks_2_convs1_2_bias_to_fp16, dilations = x_51_dilations_0, groups = x_51_groups_0, pad = x_51_pad_0, pad_type = x_51_pad_type_0, strides = x_51_strides_0, weight = weight_59_to_fp16, x = input_79_cast_fp16)[name = string("x_51_cast_fp16")];
            tensor<fp16, [1, 256, 1]> alpha_47_to_fp16 = const()[name = string("alpha_47_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(32211072)))];
            tensor<fp16, [1, 256, 3072]> var_1043_cast_fp16 = mul(x = x_51_cast_fp16, y = alpha_47_to_fp16)[name = string("op_1043_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_1044_cast_fp16 = sin(x = var_1043_cast_fp16)[name = string("op_1044_cast_fp16")];
            fp16 var_888_promoted_5_to_fp16 = const()[name = string("op_888_promoted_5_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, 3072]> var_1045_cast_fp16 = pow(x = var_1044_cast_fp16, y = var_888_promoted_5_to_fp16)[name = string("op_1045_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_1040_to_fp16 = const()[name = string("op_1040_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(32211648)))];
            tensor<fp16, [1, 256, 3072]> var_1046_cast_fp16 = mul(x = var_1040_to_fp16, y = var_1045_cast_fp16)[name = string("op_1046_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> input_81_cast_fp16 = add(x = x_51_cast_fp16, y = var_1046_cast_fp16)[name = string("input_81_cast_fp16")];
            string xt_23_pad_type_0 = const()[name = string("xt_23_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_23_pad_0 = const()[name = string("xt_23_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> xt_23_strides_0 = const()[name = string("xt_23_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_23_dilations_0 = const()[name = string("xt_23_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_23_groups_0 = const()[name = string("xt_23_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 11]> weight_61_to_fp16 = const()[name = string("weight_61_to_fp16"), val = tensor<fp16, [256, 256, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(32212224)))];
            tensor<fp16, [256]> mel2wav_resblocks_2_convs2_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_2_convs2_2_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(33654080)))];
            tensor<fp16, [1, 256, 3072]> xt_23_cast_fp16 = conv(bias = mel2wav_resblocks_2_convs2_2_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_61_to_fp16, x = input_81_cast_fp16)[name = string("xt_23_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> var_1059_cast_fp16 = add(x = xt_23_cast_fp16, y = x_49_cast_fp16)[name = string("op_1059_cast_fp16")];
            tensor<fp16, [1, 256, 3072]> xs_5_cast_fp16 = add(x = xs_3_cast_fp16, y = var_1059_cast_fp16)[name = string("xs_5_cast_fp16")];
            fp16 _inversed_input_83_y_0_to_fp16 = const()[name = string("_inversed_input_83_y_0_to_fp16"), val = fp16(0x1.554p-2)];
            tensor<fp16, [1, 256, 3072]> _inversed_input_83_cast_fp16 = mul(x = xs_5_cast_fp16, y = _inversed_input_83_y_0_to_fp16)[name = string("_inversed_input_83_cast_fp16")];
            fp32 var_1064 = const()[name = string("op_1064"), val = fp32(0x1.99999ap-4)];
            tensor<fp16, [1, 256, 3072]> input_85_cast_fp16 = leaky_relu(alpha = var_1064, x = _inversed_input_83_cast_fp16)[name = string("input_85_cast_fp16")];
            string x_65_pad_type_0 = const()[name = string("x_65_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_65_pad_0 = const()[name = string("x_65_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> x_65_strides_0 = const()[name = string("x_65_strides_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_65_dilations_0 = const()[name = string("x_65_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_65_groups_0 = const()[name = string("x_65_groups_0"), val = int32(1)];
            tensor<int32, [3]> x_65_has_output_shape_output_shape_0 = const()[name = string("x_65_has_output_shape_output_shape_0"), val = tensor<int32, [3]>([1, 128, 15360])];
            tensor<fp16, [256, 128, 11]> var_1077_to_fp16 = const()[name = string("op_1077_to_fp16"), val = tensor<fp16, [256, 128, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(33654656)))];
            tensor<fp16, [128]> mel2wav_ups_1_bias_to_fp16 = const()[name = string("mel2wav_ups_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34375616)))];
            tensor<fp16, [1, 128, 15360]> x_65_has_output_shape_cast_fp16 = conv_transpose(bias = mel2wav_ups_1_bias_to_fp16, dilations = x_65_dilations_0, groups = x_65_groups_0, output_shape = x_65_has_output_shape_output_shape_0, pad = x_65_pad_0, pad_type = x_65_pad_type_0, strides = x_65_strides_0, weight = var_1077_to_fp16, x = input_85_cast_fp16)[name = string("x_65_has_output_shape_cast_fp16")];
            string x_53_pad_type_0 = const()[name = string("x_53_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_53_pad_0 = const()[name = string("x_53_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> x_53_strides_0 = const()[name = string("x_53_strides_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_53_dilations_0 = const()[name = string("x_53_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_53_groups_0 = const()[name = string("x_53_groups_0"), val = int32(1)];
            tensor<fp16, [128, 18, 6]> mel2wav_source_downs_1_weight_to_fp16 = const()[name = string("mel2wav_source_downs_1_weight_to_fp16"), val = tensor<fp16, [128, 18, 6]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34375936)))];
            tensor<fp16, [128]> mel2wav_source_downs_1_bias_to_fp16 = const()[name = string("mel2wav_source_downs_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34403648)))];
            tensor<fp16, [1, 128, 15360]> x_53_cast_fp16 = conv(bias = mel2wav_source_downs_1_bias_to_fp16, dilations = x_53_dilations_0, groups = x_53_groups_0, pad = x_53_pad_0, pad_type = x_53_pad_type_0, strides = x_53_strides_0, weight = mel2wav_source_downs_1_weight_to_fp16, x = input_33_cast_fp16)[name = string("x_53_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_49_to_fp16 = const()[name = string("alpha_49_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34403968)))];
            tensor<fp16, [1, 128, 15360]> var_1137_cast_fp16 = mul(x = x_53_cast_fp16, y = alpha_49_to_fp16)[name = string("op_1137_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1138_cast_fp16 = sin(x = var_1137_cast_fp16)[name = string("op_1138_cast_fp16")];
            fp16 var_1104_promoted_to_fp16 = const()[name = string("op_1104_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1139_cast_fp16 = pow(x = var_1138_cast_fp16, y = var_1104_promoted_to_fp16)[name = string("op_1139_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1134_to_fp16 = const()[name = string("op_1134_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34404288)))];
            tensor<fp16, [1, 128, 15360]> var_1140_cast_fp16 = mul(x = var_1134_to_fp16, y = var_1139_cast_fp16)[name = string("op_1140_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_87_cast_fp16 = add(x = x_53_cast_fp16, y = var_1140_cast_fp16)[name = string("input_87_cast_fp16")];
            string x_55_pad_type_0 = const()[name = string("x_55_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_55_pad_0 = const()[name = string("x_55_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> x_55_strides_0 = const()[name = string("x_55_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_55_dilations_0 = const()[name = string("x_55_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_55_groups_0 = const()[name = string("x_55_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 7]> weight_65_to_fp16 = const()[name = string("weight_65_to_fp16"), val = tensor<fp16, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34404608)))];
            tensor<fp16, [128]> mel2wav_source_resblocks_1_convs1_0_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_1_convs1_0_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34634048)))];
            tensor<fp16, [1, 128, 15360]> x_55_cast_fp16 = conv(bias = mel2wav_source_resblocks_1_convs1_0_bias_to_fp16, dilations = x_55_dilations_0, groups = x_55_groups_0, pad = x_55_pad_0, pad_type = x_55_pad_type_0, strides = x_55_strides_0, weight = weight_65_to_fp16, x = input_87_cast_fp16)[name = string("x_55_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_51_to_fp16 = const()[name = string("alpha_51_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34634368)))];
            tensor<fp16, [1, 128, 15360]> var_1161_cast_fp16 = mul(x = x_55_cast_fp16, y = alpha_51_to_fp16)[name = string("op_1161_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1162_cast_fp16 = sin(x = var_1161_cast_fp16)[name = string("op_1162_cast_fp16")];
            fp16 var_1104_promoted_1_to_fp16 = const()[name = string("op_1104_promoted_1_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1163_cast_fp16 = pow(x = var_1162_cast_fp16, y = var_1104_promoted_1_to_fp16)[name = string("op_1163_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1158_to_fp16 = const()[name = string("op_1158_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34634688)))];
            tensor<fp16, [1, 128, 15360]> var_1164_cast_fp16 = mul(x = var_1158_to_fp16, y = var_1163_cast_fp16)[name = string("op_1164_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_89_cast_fp16 = add(x = x_55_cast_fp16, y = var_1164_cast_fp16)[name = string("input_89_cast_fp16")];
            string xt_25_pad_type_0 = const()[name = string("xt_25_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_25_pad_0 = const()[name = string("xt_25_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_25_strides_0 = const()[name = string("xt_25_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_25_dilations_0 = const()[name = string("xt_25_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_25_groups_0 = const()[name = string("xt_25_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 7]> weight_67_to_fp16 = const()[name = string("weight_67_to_fp16"), val = tensor<fp16, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34635008)))];
            tensor<fp16, [128]> mel2wav_source_resblocks_1_convs2_0_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_1_convs2_0_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34864448)))];
            tensor<fp16, [1, 128, 15360]> xt_25_cast_fp16 = conv(bias = mel2wav_source_resblocks_1_convs2_0_bias_to_fp16, dilations = xt_25_dilations_0, groups = xt_25_groups_0, pad = xt_25_pad_0, pad_type = xt_25_pad_type_0, strides = xt_25_strides_0, weight = weight_67_to_fp16, x = input_89_cast_fp16)[name = string("xt_25_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> x_57_cast_fp16 = add(x = xt_25_cast_fp16, y = x_53_cast_fp16)[name = string("x_57_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_53_to_fp16 = const()[name = string("alpha_53_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34864768)))];
            tensor<fp16, [1, 128, 15360]> var_1186_cast_fp16 = mul(x = x_57_cast_fp16, y = alpha_53_to_fp16)[name = string("op_1186_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1187_cast_fp16 = sin(x = var_1186_cast_fp16)[name = string("op_1187_cast_fp16")];
            fp16 var_1104_promoted_2_to_fp16 = const()[name = string("op_1104_promoted_2_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1188_cast_fp16 = pow(x = var_1187_cast_fp16, y = var_1104_promoted_2_to_fp16)[name = string("op_1188_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1183_to_fp16 = const()[name = string("op_1183_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34865088)))];
            tensor<fp16, [1, 128, 15360]> var_1189_cast_fp16 = mul(x = var_1183_to_fp16, y = var_1188_cast_fp16)[name = string("op_1189_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_91_cast_fp16 = add(x = x_57_cast_fp16, y = var_1189_cast_fp16)[name = string("input_91_cast_fp16")];
            string x_59_pad_type_0 = const()[name = string("x_59_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_59_pad_0 = const()[name = string("x_59_pad_0"), val = tensor<int32, [2]>([9, 9])];
            tensor<int32, [1]> x_59_dilations_0 = const()[name = string("x_59_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_59_strides_0 = const()[name = string("x_59_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_59_groups_0 = const()[name = string("x_59_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 7]> weight_69_to_fp16 = const()[name = string("weight_69_to_fp16"), val = tensor<fp16, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34865408)))];
            tensor<fp16, [128]> mel2wav_source_resblocks_1_convs1_1_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_1_convs1_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35094848)))];
            tensor<fp16, [1, 128, 15360]> x_59_cast_fp16 = conv(bias = mel2wav_source_resblocks_1_convs1_1_bias_to_fp16, dilations = x_59_dilations_0, groups = x_59_groups_0, pad = x_59_pad_0, pad_type = x_59_pad_type_0, strides = x_59_strides_0, weight = weight_69_to_fp16, x = input_91_cast_fp16)[name = string("x_59_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_55_to_fp16 = const()[name = string("alpha_55_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35095168)))];
            tensor<fp16, [1, 128, 15360]> var_1210_cast_fp16 = mul(x = x_59_cast_fp16, y = alpha_55_to_fp16)[name = string("op_1210_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1211_cast_fp16 = sin(x = var_1210_cast_fp16)[name = string("op_1211_cast_fp16")];
            fp16 var_1104_promoted_3_to_fp16 = const()[name = string("op_1104_promoted_3_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1212_cast_fp16 = pow(x = var_1211_cast_fp16, y = var_1104_promoted_3_to_fp16)[name = string("op_1212_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1207_to_fp16 = const()[name = string("op_1207_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35095488)))];
            tensor<fp16, [1, 128, 15360]> var_1213_cast_fp16 = mul(x = var_1207_to_fp16, y = var_1212_cast_fp16)[name = string("op_1213_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_93_cast_fp16 = add(x = x_59_cast_fp16, y = var_1213_cast_fp16)[name = string("input_93_cast_fp16")];
            string xt_27_pad_type_0 = const()[name = string("xt_27_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_27_pad_0 = const()[name = string("xt_27_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_27_strides_0 = const()[name = string("xt_27_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_27_dilations_0 = const()[name = string("xt_27_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_27_groups_0 = const()[name = string("xt_27_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 7]> weight_71_to_fp16 = const()[name = string("weight_71_to_fp16"), val = tensor<fp16, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35095808)))];
            tensor<fp16, [128]> mel2wav_source_resblocks_1_convs2_1_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_1_convs2_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35325248)))];
            tensor<fp16, [1, 128, 15360]> xt_27_cast_fp16 = conv(bias = mel2wav_source_resblocks_1_convs2_1_bias_to_fp16, dilations = xt_27_dilations_0, groups = xt_27_groups_0, pad = xt_27_pad_0, pad_type = xt_27_pad_type_0, strides = xt_27_strides_0, weight = weight_71_to_fp16, x = input_93_cast_fp16)[name = string("xt_27_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> x_61_cast_fp16 = add(x = xt_27_cast_fp16, y = x_57_cast_fp16)[name = string("x_61_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_57_to_fp16 = const()[name = string("alpha_57_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35325568)))];
            tensor<fp16, [1, 128, 15360]> var_1235_cast_fp16 = mul(x = x_61_cast_fp16, y = alpha_57_to_fp16)[name = string("op_1235_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1236_cast_fp16 = sin(x = var_1235_cast_fp16)[name = string("op_1236_cast_fp16")];
            fp16 var_1104_promoted_4_to_fp16 = const()[name = string("op_1104_promoted_4_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1237_cast_fp16 = pow(x = var_1236_cast_fp16, y = var_1104_promoted_4_to_fp16)[name = string("op_1237_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1232_to_fp16 = const()[name = string("op_1232_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35325888)))];
            tensor<fp16, [1, 128, 15360]> var_1238_cast_fp16 = mul(x = var_1232_to_fp16, y = var_1237_cast_fp16)[name = string("op_1238_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_95_cast_fp16 = add(x = x_61_cast_fp16, y = var_1238_cast_fp16)[name = string("input_95_cast_fp16")];
            string x_63_pad_type_0 = const()[name = string("x_63_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_63_pad_0 = const()[name = string("x_63_pad_0"), val = tensor<int32, [2]>([15, 15])];
            tensor<int32, [1]> x_63_dilations_0 = const()[name = string("x_63_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_63_strides_0 = const()[name = string("x_63_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_63_groups_0 = const()[name = string("x_63_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 7]> weight_73_to_fp16 = const()[name = string("weight_73_to_fp16"), val = tensor<fp16, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35326208)))];
            tensor<fp16, [128]> mel2wav_source_resblocks_1_convs1_2_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_1_convs1_2_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35555648)))];
            tensor<fp16, [1, 128, 15360]> x_63_cast_fp16 = conv(bias = mel2wav_source_resblocks_1_convs1_2_bias_to_fp16, dilations = x_63_dilations_0, groups = x_63_groups_0, pad = x_63_pad_0, pad_type = x_63_pad_type_0, strides = x_63_strides_0, weight = weight_73_to_fp16, x = input_95_cast_fp16)[name = string("x_63_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_59_to_fp16 = const()[name = string("alpha_59_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35555968)))];
            tensor<fp16, [1, 128, 15360]> var_1259_cast_fp16 = mul(x = x_63_cast_fp16, y = alpha_59_to_fp16)[name = string("op_1259_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1260_cast_fp16 = sin(x = var_1259_cast_fp16)[name = string("op_1260_cast_fp16")];
            fp16 var_1104_promoted_5_to_fp16 = const()[name = string("op_1104_promoted_5_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1261_cast_fp16 = pow(x = var_1260_cast_fp16, y = var_1104_promoted_5_to_fp16)[name = string("op_1261_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1256_to_fp16 = const()[name = string("op_1256_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35556288)))];
            tensor<fp16, [1, 128, 15360]> var_1262_cast_fp16 = mul(x = var_1256_to_fp16, y = var_1261_cast_fp16)[name = string("op_1262_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_97_cast_fp16 = add(x = x_63_cast_fp16, y = var_1262_cast_fp16)[name = string("input_97_cast_fp16")];
            string xt_29_pad_type_0 = const()[name = string("xt_29_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_29_pad_0 = const()[name = string("xt_29_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_29_strides_0 = const()[name = string("xt_29_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_29_dilations_0 = const()[name = string("xt_29_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_29_groups_0 = const()[name = string("xt_29_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 7]> weight_75_to_fp16 = const()[name = string("weight_75_to_fp16"), val = tensor<fp16, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35556608)))];
            tensor<fp16, [128]> mel2wav_source_resblocks_1_convs2_2_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_1_convs2_2_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35786048)))];
            tensor<fp16, [1, 128, 15360]> xt_29_cast_fp16 = conv(bias = mel2wav_source_resblocks_1_convs2_2_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_75_to_fp16, x = input_97_cast_fp16)[name = string("xt_29_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> si_3_cast_fp16 = add(x = xt_29_cast_fp16, y = x_61_cast_fp16)[name = string("si_3_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> x_67_cast_fp16 = add(x = x_65_has_output_shape_cast_fp16, y = si_3_cast_fp16)[name = string("x_67_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_61_to_fp16 = const()[name = string("alpha_61_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35786368)))];
            tensor<fp16, [1, 128, 15360]> var_1318_cast_fp16 = mul(x = x_67_cast_fp16, y = alpha_61_to_fp16)[name = string("op_1318_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1319_cast_fp16 = sin(x = var_1318_cast_fp16)[name = string("op_1319_cast_fp16")];
            fp16 var_1285_promoted_to_fp16 = const()[name = string("op_1285_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1320_cast_fp16 = pow(x = var_1319_cast_fp16, y = var_1285_promoted_to_fp16)[name = string("op_1320_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1315_to_fp16 = const()[name = string("op_1315_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35786688)))];
            tensor<fp16, [1, 128, 15360]> var_1321_cast_fp16 = mul(x = var_1315_to_fp16, y = var_1320_cast_fp16)[name = string("op_1321_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_99_cast_fp16 = add(x = x_67_cast_fp16, y = var_1321_cast_fp16)[name = string("input_99_cast_fp16")];
            string x_69_pad_type_0 = const()[name = string("x_69_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_69_pad_0 = const()[name = string("x_69_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> x_69_strides_0 = const()[name = string("x_69_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_69_dilations_0 = const()[name = string("x_69_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_69_groups_0 = const()[name = string("x_69_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 3]> weight_77_to_fp16 = const()[name = string("weight_77_to_fp16"), val = tensor<fp16, [128, 128, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35787008)))];
            tensor<fp16, [128]> mel2wav_resblocks_3_convs1_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_3_convs1_0_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35885376)))];
            tensor<fp16, [1, 128, 15360]> x_69_cast_fp16 = conv(bias = mel2wav_resblocks_3_convs1_0_bias_to_fp16, dilations = x_69_dilations_0, groups = x_69_groups_0, pad = x_69_pad_0, pad_type = x_69_pad_type_0, strides = x_69_strides_0, weight = weight_77_to_fp16, x = input_99_cast_fp16)[name = string("x_69_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_63_to_fp16 = const()[name = string("alpha_63_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35885696)))];
            tensor<fp16, [1, 128, 15360]> var_1342_cast_fp16 = mul(x = x_69_cast_fp16, y = alpha_63_to_fp16)[name = string("op_1342_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1343_cast_fp16 = sin(x = var_1342_cast_fp16)[name = string("op_1343_cast_fp16")];
            fp16 var_1285_promoted_1_to_fp16 = const()[name = string("op_1285_promoted_1_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1344_cast_fp16 = pow(x = var_1343_cast_fp16, y = var_1285_promoted_1_to_fp16)[name = string("op_1344_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1339_to_fp16 = const()[name = string("op_1339_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35886016)))];
            tensor<fp16, [1, 128, 15360]> var_1345_cast_fp16 = mul(x = var_1339_to_fp16, y = var_1344_cast_fp16)[name = string("op_1345_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_101_cast_fp16 = add(x = x_69_cast_fp16, y = var_1345_cast_fp16)[name = string("input_101_cast_fp16")];
            string xt_31_pad_type_0 = const()[name = string("xt_31_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_31_pad_0 = const()[name = string("xt_31_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> xt_31_strides_0 = const()[name = string("xt_31_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_31_dilations_0 = const()[name = string("xt_31_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_31_groups_0 = const()[name = string("xt_31_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 3]> weight_79_to_fp16 = const()[name = string("weight_79_to_fp16"), val = tensor<fp16, [128, 128, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35886336)))];
            tensor<fp16, [128]> mel2wav_resblocks_3_convs2_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_3_convs2_0_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35984704)))];
            tensor<fp16, [1, 128, 15360]> xt_31_cast_fp16 = conv(bias = mel2wav_resblocks_3_convs2_0_bias_to_fp16, dilations = xt_31_dilations_0, groups = xt_31_groups_0, pad = xt_31_pad_0, pad_type = xt_31_pad_type_0, strides = xt_31_strides_0, weight = weight_79_to_fp16, x = input_101_cast_fp16)[name = string("xt_31_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> x_71_cast_fp16 = add(x = xt_31_cast_fp16, y = x_67_cast_fp16)[name = string("x_71_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_65_to_fp16 = const()[name = string("alpha_65_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35985024)))];
            tensor<fp16, [1, 128, 15360]> var_1367_cast_fp16 = mul(x = x_71_cast_fp16, y = alpha_65_to_fp16)[name = string("op_1367_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1368_cast_fp16 = sin(x = var_1367_cast_fp16)[name = string("op_1368_cast_fp16")];
            fp16 var_1285_promoted_2_to_fp16 = const()[name = string("op_1285_promoted_2_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1369_cast_fp16 = pow(x = var_1368_cast_fp16, y = var_1285_promoted_2_to_fp16)[name = string("op_1369_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1364_to_fp16 = const()[name = string("op_1364_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35985344)))];
            tensor<fp16, [1, 128, 15360]> var_1370_cast_fp16 = mul(x = var_1364_to_fp16, y = var_1369_cast_fp16)[name = string("op_1370_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_103_cast_fp16 = add(x = x_71_cast_fp16, y = var_1370_cast_fp16)[name = string("input_103_cast_fp16")];
            string x_73_pad_type_0 = const()[name = string("x_73_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_73_pad_0 = const()[name = string("x_73_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> x_73_dilations_0 = const()[name = string("x_73_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_73_strides_0 = const()[name = string("x_73_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_73_groups_0 = const()[name = string("x_73_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 3]> weight_81_to_fp16 = const()[name = string("weight_81_to_fp16"), val = tensor<fp16, [128, 128, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35985664)))];
            tensor<fp16, [128]> mel2wav_resblocks_3_convs1_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_3_convs1_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36084032)))];
            tensor<fp16, [1, 128, 15360]> x_73_cast_fp16 = conv(bias = mel2wav_resblocks_3_convs1_1_bias_to_fp16, dilations = x_73_dilations_0, groups = x_73_groups_0, pad = x_73_pad_0, pad_type = x_73_pad_type_0, strides = x_73_strides_0, weight = weight_81_to_fp16, x = input_103_cast_fp16)[name = string("x_73_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_67_to_fp16 = const()[name = string("alpha_67_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36084352)))];
            tensor<fp16, [1, 128, 15360]> var_1391_cast_fp16 = mul(x = x_73_cast_fp16, y = alpha_67_to_fp16)[name = string("op_1391_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1392_cast_fp16 = sin(x = var_1391_cast_fp16)[name = string("op_1392_cast_fp16")];
            fp16 var_1285_promoted_3_to_fp16 = const()[name = string("op_1285_promoted_3_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1393_cast_fp16 = pow(x = var_1392_cast_fp16, y = var_1285_promoted_3_to_fp16)[name = string("op_1393_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1388_to_fp16 = const()[name = string("op_1388_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36084672)))];
            tensor<fp16, [1, 128, 15360]> var_1394_cast_fp16 = mul(x = var_1388_to_fp16, y = var_1393_cast_fp16)[name = string("op_1394_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_105_cast_fp16 = add(x = x_73_cast_fp16, y = var_1394_cast_fp16)[name = string("input_105_cast_fp16")];
            string xt_33_pad_type_0 = const()[name = string("xt_33_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_33_pad_0 = const()[name = string("xt_33_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> xt_33_strides_0 = const()[name = string("xt_33_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_33_dilations_0 = const()[name = string("xt_33_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_33_groups_0 = const()[name = string("xt_33_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 3]> weight_83_to_fp16 = const()[name = string("weight_83_to_fp16"), val = tensor<fp16, [128, 128, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36084992)))];
            tensor<fp16, [128]> mel2wav_resblocks_3_convs2_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_3_convs2_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36183360)))];
            tensor<fp16, [1, 128, 15360]> xt_33_cast_fp16 = conv(bias = mel2wav_resblocks_3_convs2_1_bias_to_fp16, dilations = xt_33_dilations_0, groups = xt_33_groups_0, pad = xt_33_pad_0, pad_type = xt_33_pad_type_0, strides = xt_33_strides_0, weight = weight_83_to_fp16, x = input_105_cast_fp16)[name = string("xt_33_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> x_75_cast_fp16 = add(x = xt_33_cast_fp16, y = x_71_cast_fp16)[name = string("x_75_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_69_to_fp16 = const()[name = string("alpha_69_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36183680)))];
            tensor<fp16, [1, 128, 15360]> var_1416_cast_fp16 = mul(x = x_75_cast_fp16, y = alpha_69_to_fp16)[name = string("op_1416_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1417_cast_fp16 = sin(x = var_1416_cast_fp16)[name = string("op_1417_cast_fp16")];
            fp16 var_1285_promoted_4_to_fp16 = const()[name = string("op_1285_promoted_4_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1418_cast_fp16 = pow(x = var_1417_cast_fp16, y = var_1285_promoted_4_to_fp16)[name = string("op_1418_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1413_to_fp16 = const()[name = string("op_1413_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36184000)))];
            tensor<fp16, [1, 128, 15360]> var_1419_cast_fp16 = mul(x = var_1413_to_fp16, y = var_1418_cast_fp16)[name = string("op_1419_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_107_cast_fp16 = add(x = x_75_cast_fp16, y = var_1419_cast_fp16)[name = string("input_107_cast_fp16")];
            string x_77_pad_type_0 = const()[name = string("x_77_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_77_pad_0 = const()[name = string("x_77_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> x_77_dilations_0 = const()[name = string("x_77_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_77_strides_0 = const()[name = string("x_77_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_77_groups_0 = const()[name = string("x_77_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 3]> weight_85_to_fp16 = const()[name = string("weight_85_to_fp16"), val = tensor<fp16, [128, 128, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36184320)))];
            tensor<fp16, [128]> mel2wav_resblocks_3_convs1_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_3_convs1_2_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36282688)))];
            tensor<fp16, [1, 128, 15360]> x_77_cast_fp16 = conv(bias = mel2wav_resblocks_3_convs1_2_bias_to_fp16, dilations = x_77_dilations_0, groups = x_77_groups_0, pad = x_77_pad_0, pad_type = x_77_pad_type_0, strides = x_77_strides_0, weight = weight_85_to_fp16, x = input_107_cast_fp16)[name = string("x_77_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_71_to_fp16 = const()[name = string("alpha_71_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36283008)))];
            tensor<fp16, [1, 128, 15360]> var_1440_cast_fp16 = mul(x = x_77_cast_fp16, y = alpha_71_to_fp16)[name = string("op_1440_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1441_cast_fp16 = sin(x = var_1440_cast_fp16)[name = string("op_1441_cast_fp16")];
            fp16 var_1285_promoted_5_to_fp16 = const()[name = string("op_1285_promoted_5_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1442_cast_fp16 = pow(x = var_1441_cast_fp16, y = var_1285_promoted_5_to_fp16)[name = string("op_1442_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1437_to_fp16 = const()[name = string("op_1437_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36283328)))];
            tensor<fp16, [1, 128, 15360]> var_1443_cast_fp16 = mul(x = var_1437_to_fp16, y = var_1442_cast_fp16)[name = string("op_1443_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_109_cast_fp16 = add(x = x_77_cast_fp16, y = var_1443_cast_fp16)[name = string("input_109_cast_fp16")];
            string xt_35_pad_type_0 = const()[name = string("xt_35_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_35_pad_0 = const()[name = string("xt_35_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> xt_35_strides_0 = const()[name = string("xt_35_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_35_dilations_0 = const()[name = string("xt_35_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_35_groups_0 = const()[name = string("xt_35_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 3]> weight_87_to_fp16 = const()[name = string("weight_87_to_fp16"), val = tensor<fp16, [128, 128, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36283648)))];
            tensor<fp16, [128]> mel2wav_resblocks_3_convs2_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_3_convs2_2_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36382016)))];
            tensor<fp16, [1, 128, 15360]> xt_35_cast_fp16 = conv(bias = mel2wav_resblocks_3_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_87_to_fp16, x = input_109_cast_fp16)[name = string("xt_35_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> xs_7_cast_fp16 = add(x = xt_35_cast_fp16, y = x_75_cast_fp16)[name = string("xs_7_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_73_to_fp16 = const()[name = string("alpha_73_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36382336)))];
            tensor<fp16, [1, 128, 15360]> var_1499_cast_fp16 = mul(x = x_67_cast_fp16, y = alpha_73_to_fp16)[name = string("op_1499_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1500_cast_fp16 = sin(x = var_1499_cast_fp16)[name = string("op_1500_cast_fp16")];
            fp16 var_1466_promoted_to_fp16 = const()[name = string("op_1466_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1501_cast_fp16 = pow(x = var_1500_cast_fp16, y = var_1466_promoted_to_fp16)[name = string("op_1501_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1496_to_fp16 = const()[name = string("op_1496_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36382656)))];
            tensor<fp16, [1, 128, 15360]> var_1502_cast_fp16 = mul(x = var_1496_to_fp16, y = var_1501_cast_fp16)[name = string("op_1502_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_111_cast_fp16 = add(x = x_67_cast_fp16, y = var_1502_cast_fp16)[name = string("input_111_cast_fp16")];
            string x_79_pad_type_0 = const()[name = string("x_79_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_79_pad_0 = const()[name = string("x_79_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> x_79_strides_0 = const()[name = string("x_79_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_79_dilations_0 = const()[name = string("x_79_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_79_groups_0 = const()[name = string("x_79_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 7]> weight_89_to_fp16 = const()[name = string("weight_89_to_fp16"), val = tensor<fp16, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36382976)))];
            tensor<fp16, [128]> mel2wav_resblocks_4_convs1_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_4_convs1_0_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36612416)))];
            tensor<fp16, [1, 128, 15360]> x_79_cast_fp16 = conv(bias = mel2wav_resblocks_4_convs1_0_bias_to_fp16, dilations = x_79_dilations_0, groups = x_79_groups_0, pad = x_79_pad_0, pad_type = x_79_pad_type_0, strides = x_79_strides_0, weight = weight_89_to_fp16, x = input_111_cast_fp16)[name = string("x_79_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_75_to_fp16 = const()[name = string("alpha_75_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36612736)))];
            tensor<fp16, [1, 128, 15360]> var_1523_cast_fp16 = mul(x = x_79_cast_fp16, y = alpha_75_to_fp16)[name = string("op_1523_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1524_cast_fp16 = sin(x = var_1523_cast_fp16)[name = string("op_1524_cast_fp16")];
            fp16 var_1466_promoted_1_to_fp16 = const()[name = string("op_1466_promoted_1_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1525_cast_fp16 = pow(x = var_1524_cast_fp16, y = var_1466_promoted_1_to_fp16)[name = string("op_1525_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1520_to_fp16 = const()[name = string("op_1520_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36613056)))];
            tensor<fp16, [1, 128, 15360]> var_1526_cast_fp16 = mul(x = var_1520_to_fp16, y = var_1525_cast_fp16)[name = string("op_1526_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_113_cast_fp16 = add(x = x_79_cast_fp16, y = var_1526_cast_fp16)[name = string("input_113_cast_fp16")];
            string xt_37_pad_type_0 = const()[name = string("xt_37_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_37_pad_0 = const()[name = string("xt_37_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_37_strides_0 = const()[name = string("xt_37_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_37_dilations_0 = const()[name = string("xt_37_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_37_groups_0 = const()[name = string("xt_37_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 7]> weight_91_to_fp16 = const()[name = string("weight_91_to_fp16"), val = tensor<fp16, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36613376)))];
            tensor<fp16, [128]> mel2wav_resblocks_4_convs2_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_4_convs2_0_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36842816)))];
            tensor<fp16, [1, 128, 15360]> xt_37_cast_fp16 = conv(bias = mel2wav_resblocks_4_convs2_0_bias_to_fp16, dilations = xt_37_dilations_0, groups = xt_37_groups_0, pad = xt_37_pad_0, pad_type = xt_37_pad_type_0, strides = xt_37_strides_0, weight = weight_91_to_fp16, x = input_113_cast_fp16)[name = string("xt_37_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> x_81_cast_fp16 = add(x = xt_37_cast_fp16, y = x_67_cast_fp16)[name = string("x_81_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_77_to_fp16 = const()[name = string("alpha_77_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36843136)))];
            tensor<fp16, [1, 128, 15360]> var_1548_cast_fp16 = mul(x = x_81_cast_fp16, y = alpha_77_to_fp16)[name = string("op_1548_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1549_cast_fp16 = sin(x = var_1548_cast_fp16)[name = string("op_1549_cast_fp16")];
            fp16 var_1466_promoted_2_to_fp16 = const()[name = string("op_1466_promoted_2_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1550_cast_fp16 = pow(x = var_1549_cast_fp16, y = var_1466_promoted_2_to_fp16)[name = string("op_1550_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1545_to_fp16 = const()[name = string("op_1545_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36843456)))];
            tensor<fp16, [1, 128, 15360]> var_1551_cast_fp16 = mul(x = var_1545_to_fp16, y = var_1550_cast_fp16)[name = string("op_1551_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_115_cast_fp16 = add(x = x_81_cast_fp16, y = var_1551_cast_fp16)[name = string("input_115_cast_fp16")];
            string x_83_pad_type_0 = const()[name = string("x_83_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_83_pad_0 = const()[name = string("x_83_pad_0"), val = tensor<int32, [2]>([9, 9])];
            tensor<int32, [1]> x_83_dilations_0 = const()[name = string("x_83_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_83_strides_0 = const()[name = string("x_83_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_83_groups_0 = const()[name = string("x_83_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 7]> weight_93_to_fp16 = const()[name = string("weight_93_to_fp16"), val = tensor<fp16, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36843776)))];
            tensor<fp16, [128]> mel2wav_resblocks_4_convs1_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_4_convs1_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37073216)))];
            tensor<fp16, [1, 128, 15360]> x_83_cast_fp16 = conv(bias = mel2wav_resblocks_4_convs1_1_bias_to_fp16, dilations = x_83_dilations_0, groups = x_83_groups_0, pad = x_83_pad_0, pad_type = x_83_pad_type_0, strides = x_83_strides_0, weight = weight_93_to_fp16, x = input_115_cast_fp16)[name = string("x_83_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_79_to_fp16 = const()[name = string("alpha_79_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37073536)))];
            tensor<fp16, [1, 128, 15360]> var_1572_cast_fp16 = mul(x = x_83_cast_fp16, y = alpha_79_to_fp16)[name = string("op_1572_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1573_cast_fp16 = sin(x = var_1572_cast_fp16)[name = string("op_1573_cast_fp16")];
            fp16 var_1466_promoted_3_to_fp16 = const()[name = string("op_1466_promoted_3_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1574_cast_fp16 = pow(x = var_1573_cast_fp16, y = var_1466_promoted_3_to_fp16)[name = string("op_1574_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1569_to_fp16 = const()[name = string("op_1569_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37073856)))];
            tensor<fp16, [1, 128, 15360]> var_1575_cast_fp16 = mul(x = var_1569_to_fp16, y = var_1574_cast_fp16)[name = string("op_1575_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_117_cast_fp16 = add(x = x_83_cast_fp16, y = var_1575_cast_fp16)[name = string("input_117_cast_fp16")];
            string xt_39_pad_type_0 = const()[name = string("xt_39_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_39_pad_0 = const()[name = string("xt_39_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_39_strides_0 = const()[name = string("xt_39_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_39_dilations_0 = const()[name = string("xt_39_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_39_groups_0 = const()[name = string("xt_39_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 7]> weight_95_to_fp16 = const()[name = string("weight_95_to_fp16"), val = tensor<fp16, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37074176)))];
            tensor<fp16, [128]> mel2wav_resblocks_4_convs2_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_4_convs2_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37303616)))];
            tensor<fp16, [1, 128, 15360]> xt_39_cast_fp16 = conv(bias = mel2wav_resblocks_4_convs2_1_bias_to_fp16, dilations = xt_39_dilations_0, groups = xt_39_groups_0, pad = xt_39_pad_0, pad_type = xt_39_pad_type_0, strides = xt_39_strides_0, weight = weight_95_to_fp16, x = input_117_cast_fp16)[name = string("xt_39_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> x_85_cast_fp16 = add(x = xt_39_cast_fp16, y = x_81_cast_fp16)[name = string("x_85_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_81_to_fp16 = const()[name = string("alpha_81_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37303936)))];
            tensor<fp16, [1, 128, 15360]> var_1597_cast_fp16 = mul(x = x_85_cast_fp16, y = alpha_81_to_fp16)[name = string("op_1597_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1598_cast_fp16 = sin(x = var_1597_cast_fp16)[name = string("op_1598_cast_fp16")];
            fp16 var_1466_promoted_4_to_fp16 = const()[name = string("op_1466_promoted_4_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1599_cast_fp16 = pow(x = var_1598_cast_fp16, y = var_1466_promoted_4_to_fp16)[name = string("op_1599_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1594_to_fp16 = const()[name = string("op_1594_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37304256)))];
            tensor<fp16, [1, 128, 15360]> var_1600_cast_fp16 = mul(x = var_1594_to_fp16, y = var_1599_cast_fp16)[name = string("op_1600_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_119_cast_fp16 = add(x = x_85_cast_fp16, y = var_1600_cast_fp16)[name = string("input_119_cast_fp16")];
            string x_87_pad_type_0 = const()[name = string("x_87_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_87_pad_0 = const()[name = string("x_87_pad_0"), val = tensor<int32, [2]>([15, 15])];
            tensor<int32, [1]> x_87_dilations_0 = const()[name = string("x_87_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_87_strides_0 = const()[name = string("x_87_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_87_groups_0 = const()[name = string("x_87_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 7]> weight_97_to_fp16 = const()[name = string("weight_97_to_fp16"), val = tensor<fp16, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37304576)))];
            tensor<fp16, [128]> mel2wav_resblocks_4_convs1_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_4_convs1_2_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37534016)))];
            tensor<fp16, [1, 128, 15360]> x_87_cast_fp16 = conv(bias = mel2wav_resblocks_4_convs1_2_bias_to_fp16, dilations = x_87_dilations_0, groups = x_87_groups_0, pad = x_87_pad_0, pad_type = x_87_pad_type_0, strides = x_87_strides_0, weight = weight_97_to_fp16, x = input_119_cast_fp16)[name = string("x_87_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_83_to_fp16 = const()[name = string("alpha_83_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37534336)))];
            tensor<fp16, [1, 128, 15360]> var_1621_cast_fp16 = mul(x = x_87_cast_fp16, y = alpha_83_to_fp16)[name = string("op_1621_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1622_cast_fp16 = sin(x = var_1621_cast_fp16)[name = string("op_1622_cast_fp16")];
            fp16 var_1466_promoted_5_to_fp16 = const()[name = string("op_1466_promoted_5_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1623_cast_fp16 = pow(x = var_1622_cast_fp16, y = var_1466_promoted_5_to_fp16)[name = string("op_1623_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1618_to_fp16 = const()[name = string("op_1618_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37534656)))];
            tensor<fp16, [1, 128, 15360]> var_1624_cast_fp16 = mul(x = var_1618_to_fp16, y = var_1623_cast_fp16)[name = string("op_1624_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_121_cast_fp16 = add(x = x_87_cast_fp16, y = var_1624_cast_fp16)[name = string("input_121_cast_fp16")];
            string xt_41_pad_type_0 = const()[name = string("xt_41_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_41_pad_0 = const()[name = string("xt_41_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_41_strides_0 = const()[name = string("xt_41_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_41_dilations_0 = const()[name = string("xt_41_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_41_groups_0 = const()[name = string("xt_41_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 7]> weight_99_to_fp16 = const()[name = string("weight_99_to_fp16"), val = tensor<fp16, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37534976)))];
            tensor<fp16, [128]> mel2wav_resblocks_4_convs2_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_4_convs2_2_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37764416)))];
            tensor<fp16, [1, 128, 15360]> xt_41_cast_fp16 = conv(bias = mel2wav_resblocks_4_convs2_2_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_99_to_fp16, x = input_121_cast_fp16)[name = string("xt_41_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1637_cast_fp16 = add(x = xt_41_cast_fp16, y = x_85_cast_fp16)[name = string("op_1637_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> xs_9_cast_fp16 = add(x = xs_7_cast_fp16, y = var_1637_cast_fp16)[name = string("xs_9_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_85_to_fp16 = const()[name = string("alpha_85_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37764736)))];
            tensor<fp16, [1, 128, 15360]> var_1682_cast_fp16 = mul(x = x_67_cast_fp16, y = alpha_85_to_fp16)[name = string("op_1682_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1683_cast_fp16 = sin(x = var_1682_cast_fp16)[name = string("op_1683_cast_fp16")];
            fp16 var_1649_promoted_to_fp16 = const()[name = string("op_1649_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1684_cast_fp16 = pow(x = var_1683_cast_fp16, y = var_1649_promoted_to_fp16)[name = string("op_1684_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1679_to_fp16 = const()[name = string("op_1679_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37765056)))];
            tensor<fp16, [1, 128, 15360]> var_1685_cast_fp16 = mul(x = var_1679_to_fp16, y = var_1684_cast_fp16)[name = string("op_1685_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_123_cast_fp16 = add(x = x_67_cast_fp16, y = var_1685_cast_fp16)[name = string("input_123_cast_fp16")];
            string x_89_pad_type_0 = const()[name = string("x_89_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_89_pad_0 = const()[name = string("x_89_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> x_89_strides_0 = const()[name = string("x_89_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_89_dilations_0 = const()[name = string("x_89_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_89_groups_0 = const()[name = string("x_89_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 11]> weight_101_to_fp16 = const()[name = string("weight_101_to_fp16"), val = tensor<fp16, [128, 128, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37765376)))];
            tensor<fp16, [128]> mel2wav_resblocks_5_convs1_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_5_convs1_0_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38125888)))];
            tensor<fp16, [1, 128, 15360]> x_89_cast_fp16 = conv(bias = mel2wav_resblocks_5_convs1_0_bias_to_fp16, dilations = x_89_dilations_0, groups = x_89_groups_0, pad = x_89_pad_0, pad_type = x_89_pad_type_0, strides = x_89_strides_0, weight = weight_101_to_fp16, x = input_123_cast_fp16)[name = string("x_89_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_87_to_fp16 = const()[name = string("alpha_87_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38126208)))];
            tensor<fp16, [1, 128, 15360]> var_1706_cast_fp16 = mul(x = x_89_cast_fp16, y = alpha_87_to_fp16)[name = string("op_1706_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1707_cast_fp16 = sin(x = var_1706_cast_fp16)[name = string("op_1707_cast_fp16")];
            fp16 var_1649_promoted_1_to_fp16 = const()[name = string("op_1649_promoted_1_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1708_cast_fp16 = pow(x = var_1707_cast_fp16, y = var_1649_promoted_1_to_fp16)[name = string("op_1708_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1703_to_fp16 = const()[name = string("op_1703_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38126528)))];
            tensor<fp16, [1, 128, 15360]> var_1709_cast_fp16 = mul(x = var_1703_to_fp16, y = var_1708_cast_fp16)[name = string("op_1709_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_125_cast_fp16 = add(x = x_89_cast_fp16, y = var_1709_cast_fp16)[name = string("input_125_cast_fp16")];
            string xt_43_pad_type_0 = const()[name = string("xt_43_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_43_pad_0 = const()[name = string("xt_43_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> xt_43_strides_0 = const()[name = string("xt_43_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_43_dilations_0 = const()[name = string("xt_43_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_43_groups_0 = const()[name = string("xt_43_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 11]> weight_103_to_fp16 = const()[name = string("weight_103_to_fp16"), val = tensor<fp16, [128, 128, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38126848)))];
            tensor<fp16, [128]> mel2wav_resblocks_5_convs2_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_5_convs2_0_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38487360)))];
            tensor<fp16, [1, 128, 15360]> xt_43_cast_fp16 = conv(bias = mel2wav_resblocks_5_convs2_0_bias_to_fp16, dilations = xt_43_dilations_0, groups = xt_43_groups_0, pad = xt_43_pad_0, pad_type = xt_43_pad_type_0, strides = xt_43_strides_0, weight = weight_103_to_fp16, x = input_125_cast_fp16)[name = string("xt_43_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> x_91_cast_fp16 = add(x = xt_43_cast_fp16, y = x_67_cast_fp16)[name = string("x_91_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_89_to_fp16 = const()[name = string("alpha_89_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38487680)))];
            tensor<fp16, [1, 128, 15360]> var_1731_cast_fp16 = mul(x = x_91_cast_fp16, y = alpha_89_to_fp16)[name = string("op_1731_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1732_cast_fp16 = sin(x = var_1731_cast_fp16)[name = string("op_1732_cast_fp16")];
            fp16 var_1649_promoted_2_to_fp16 = const()[name = string("op_1649_promoted_2_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1733_cast_fp16 = pow(x = var_1732_cast_fp16, y = var_1649_promoted_2_to_fp16)[name = string("op_1733_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1728_to_fp16 = const()[name = string("op_1728_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38488000)))];
            tensor<fp16, [1, 128, 15360]> var_1734_cast_fp16 = mul(x = var_1728_to_fp16, y = var_1733_cast_fp16)[name = string("op_1734_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_127_cast_fp16 = add(x = x_91_cast_fp16, y = var_1734_cast_fp16)[name = string("input_127_cast_fp16")];
            string x_93_pad_type_0 = const()[name = string("x_93_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_93_pad_0 = const()[name = string("x_93_pad_0"), val = tensor<int32, [2]>([15, 15])];
            tensor<int32, [1]> x_93_dilations_0 = const()[name = string("x_93_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_93_strides_0 = const()[name = string("x_93_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_93_groups_0 = const()[name = string("x_93_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 11]> weight_105_to_fp16 = const()[name = string("weight_105_to_fp16"), val = tensor<fp16, [128, 128, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38488320)))];
            tensor<fp16, [128]> mel2wav_resblocks_5_convs1_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_5_convs1_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38848832)))];
            tensor<fp16, [1, 128, 15360]> x_93_cast_fp16 = conv(bias = mel2wav_resblocks_5_convs1_1_bias_to_fp16, dilations = x_93_dilations_0, groups = x_93_groups_0, pad = x_93_pad_0, pad_type = x_93_pad_type_0, strides = x_93_strides_0, weight = weight_105_to_fp16, x = input_127_cast_fp16)[name = string("x_93_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_91_to_fp16 = const()[name = string("alpha_91_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38849152)))];
            tensor<fp16, [1, 128, 15360]> var_1755_cast_fp16 = mul(x = x_93_cast_fp16, y = alpha_91_to_fp16)[name = string("op_1755_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1756_cast_fp16 = sin(x = var_1755_cast_fp16)[name = string("op_1756_cast_fp16")];
            fp16 var_1649_promoted_3_to_fp16 = const()[name = string("op_1649_promoted_3_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1757_cast_fp16 = pow(x = var_1756_cast_fp16, y = var_1649_promoted_3_to_fp16)[name = string("op_1757_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1752_to_fp16 = const()[name = string("op_1752_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38849472)))];
            tensor<fp16, [1, 128, 15360]> var_1758_cast_fp16 = mul(x = var_1752_to_fp16, y = var_1757_cast_fp16)[name = string("op_1758_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_129_cast_fp16 = add(x = x_93_cast_fp16, y = var_1758_cast_fp16)[name = string("input_129_cast_fp16")];
            string xt_45_pad_type_0 = const()[name = string("xt_45_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_45_pad_0 = const()[name = string("xt_45_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> xt_45_strides_0 = const()[name = string("xt_45_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_45_dilations_0 = const()[name = string("xt_45_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_45_groups_0 = const()[name = string("xt_45_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 11]> weight_107_to_fp16 = const()[name = string("weight_107_to_fp16"), val = tensor<fp16, [128, 128, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38849792)))];
            tensor<fp16, [128]> mel2wav_resblocks_5_convs2_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_5_convs2_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(39210304)))];
            tensor<fp16, [1, 128, 15360]> xt_45_cast_fp16 = conv(bias = mel2wav_resblocks_5_convs2_1_bias_to_fp16, dilations = xt_45_dilations_0, groups = xt_45_groups_0, pad = xt_45_pad_0, pad_type = xt_45_pad_type_0, strides = xt_45_strides_0, weight = weight_107_to_fp16, x = input_129_cast_fp16)[name = string("xt_45_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> x_95_cast_fp16 = add(x = xt_45_cast_fp16, y = x_91_cast_fp16)[name = string("x_95_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_93_to_fp16 = const()[name = string("alpha_93_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(39210624)))];
            tensor<fp16, [1, 128, 15360]> var_1780_cast_fp16 = mul(x = x_95_cast_fp16, y = alpha_93_to_fp16)[name = string("op_1780_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1781_cast_fp16 = sin(x = var_1780_cast_fp16)[name = string("op_1781_cast_fp16")];
            fp16 var_1649_promoted_4_to_fp16 = const()[name = string("op_1649_promoted_4_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1782_cast_fp16 = pow(x = var_1781_cast_fp16, y = var_1649_promoted_4_to_fp16)[name = string("op_1782_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1777_to_fp16 = const()[name = string("op_1777_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(39210944)))];
            tensor<fp16, [1, 128, 15360]> var_1783_cast_fp16 = mul(x = var_1777_to_fp16, y = var_1782_cast_fp16)[name = string("op_1783_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_131_cast_fp16 = add(x = x_95_cast_fp16, y = var_1783_cast_fp16)[name = string("input_131_cast_fp16")];
            string x_97_pad_type_0 = const()[name = string("x_97_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_97_pad_0 = const()[name = string("x_97_pad_0"), val = tensor<int32, [2]>([25, 25])];
            tensor<int32, [1]> x_97_dilations_0 = const()[name = string("x_97_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_97_strides_0 = const()[name = string("x_97_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_97_groups_0 = const()[name = string("x_97_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 11]> weight_109_to_fp16 = const()[name = string("weight_109_to_fp16"), val = tensor<fp16, [128, 128, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(39211264)))];
            tensor<fp16, [128]> mel2wav_resblocks_5_convs1_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_5_convs1_2_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(39571776)))];
            tensor<fp16, [1, 128, 15360]> x_97_cast_fp16 = conv(bias = mel2wav_resblocks_5_convs1_2_bias_to_fp16, dilations = x_97_dilations_0, groups = x_97_groups_0, pad = x_97_pad_0, pad_type = x_97_pad_type_0, strides = x_97_strides_0, weight = weight_109_to_fp16, x = input_131_cast_fp16)[name = string("x_97_cast_fp16")];
            tensor<fp16, [1, 128, 1]> alpha_95_to_fp16 = const()[name = string("alpha_95_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(39572096)))];
            tensor<fp16, [1, 128, 15360]> var_1804_cast_fp16 = mul(x = x_97_cast_fp16, y = alpha_95_to_fp16)[name = string("op_1804_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1805_cast_fp16 = sin(x = var_1804_cast_fp16)[name = string("op_1805_cast_fp16")];
            fp16 var_1649_promoted_5_to_fp16 = const()[name = string("op_1649_promoted_5_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, 15360]> var_1806_cast_fp16 = pow(x = var_1805_cast_fp16, y = var_1649_promoted_5_to_fp16)[name = string("op_1806_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1801_to_fp16 = const()[name = string("op_1801_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(39572416)))];
            tensor<fp16, [1, 128, 15360]> var_1807_cast_fp16 = mul(x = var_1801_to_fp16, y = var_1806_cast_fp16)[name = string("op_1807_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> input_133_cast_fp16 = add(x = x_97_cast_fp16, y = var_1807_cast_fp16)[name = string("input_133_cast_fp16")];
            string xt_47_pad_type_0 = const()[name = string("xt_47_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_47_pad_0 = const()[name = string("xt_47_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> xt_47_strides_0 = const()[name = string("xt_47_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_47_dilations_0 = const()[name = string("xt_47_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_47_groups_0 = const()[name = string("xt_47_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 11]> weight_111_to_fp16 = const()[name = string("weight_111_to_fp16"), val = tensor<fp16, [128, 128, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(39572736)))];
            tensor<fp16, [128]> mel2wav_resblocks_5_convs2_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_5_convs2_2_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(39933248)))];
            tensor<fp16, [1, 128, 15360]> xt_47_cast_fp16 = conv(bias = mel2wav_resblocks_5_convs2_2_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_111_to_fp16, x = input_133_cast_fp16)[name = string("xt_47_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> var_1820_cast_fp16 = add(x = xt_47_cast_fp16, y = x_95_cast_fp16)[name = string("op_1820_cast_fp16")];
            tensor<fp16, [1, 128, 15360]> xs_11_cast_fp16 = add(x = xs_9_cast_fp16, y = var_1820_cast_fp16)[name = string("xs_11_cast_fp16")];
            fp16 _inversed_input_135_y_0_to_fp16 = const()[name = string("_inversed_input_135_y_0_to_fp16"), val = fp16(0x1.554p-2)];
            tensor<fp16, [1, 128, 15360]> _inversed_input_135_cast_fp16 = mul(x = xs_11_cast_fp16, y = _inversed_input_135_y_0_to_fp16)[name = string("_inversed_input_135_cast_fp16")];
            fp32 var_1825 = const()[name = string("op_1825"), val = fp32(0x1.99999ap-4)];
            tensor<fp16, [1, 128, 15360]> input_137_cast_fp16 = leaky_relu(alpha = var_1825, x = _inversed_input_135_cast_fp16)[name = string("input_137_cast_fp16")];
            string input_139_pad_type_0 = const()[name = string("input_139_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> input_139_pad_0 = const()[name = string("input_139_pad_0"), val = tensor<int32, [2]>([2, 2])];
            tensor<int32, [1]> input_139_strides_0 = const()[name = string("input_139_strides_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> input_139_dilations_0 = const()[name = string("input_139_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 input_139_groups_0 = const()[name = string("input_139_groups_0"), val = int32(1)];
            tensor<int32, [3]> input_139_has_output_shape_output_shape_0 = const()[name = string("input_139_has_output_shape_output_shape_0"), val = tensor<int32, [3]>([1, 64, 46080])];
            tensor<fp16, [128, 64, 7]> var_1838_to_fp16 = const()[name = string("op_1838_to_fp16"), val = tensor<fp16, [128, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(39933568)))];
            tensor<fp16, [64]> mel2wav_ups_2_bias_to_fp16 = const()[name = string("mel2wav_ups_2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40048320)))];
            tensor<fp16, [1, 64, 46080]> input_139_has_output_shape_cast_fp16 = conv_transpose(bias = mel2wav_ups_2_bias_to_fp16, dilations = input_139_dilations_0, groups = input_139_groups_0, output_shape = input_139_has_output_shape_output_shape_0, pad = input_139_pad_0, pad_type = input_139_pad_type_0, strides = input_139_strides_0, weight = var_1838_to_fp16, x = input_137_cast_fp16)[name = string("input_139_has_output_shape_cast_fp16")];
            tensor<int32, [6]> x_111_pad_0 = const()[name = string("x_111_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 1, 0])];
            string x_111_mode_0 = const()[name = string("x_111_mode_0"), val = string("reflect")];
            fp16 const_9_to_fp16 = const()[name = string("const_9_to_fp16"), val = fp16(0x0p+0)];
            tensor<fp16, [1, 64, 46081]> x_111_cast_fp16 = pad(constant_val = const_9_to_fp16, mode = x_111_mode_0, pad = x_111_pad_0, x = input_139_has_output_shape_cast_fp16)[name = string("x_111_cast_fp16")];
            string x_99_pad_type_0 = const()[name = string("x_99_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> x_99_strides_0 = const()[name = string("x_99_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_99_pad_0 = const()[name = string("x_99_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_99_dilations_0 = const()[name = string("x_99_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_99_groups_0 = const()[name = string("x_99_groups_0"), val = int32(1)];
            tensor<fp16, [64, 18, 1]> mel2wav_source_downs_2_weight_to_fp16 = const()[name = string("mel2wav_source_downs_2_weight_to_fp16"), val = tensor<fp16, [64, 18, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40048512)))];
            tensor<fp16, [64]> mel2wav_source_downs_2_bias_to_fp16 = const()[name = string("mel2wav_source_downs_2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40050880)))];
            tensor<fp16, [1, 64, 46081]> x_99_cast_fp16 = conv(bias = mel2wav_source_downs_2_bias_to_fp16, dilations = x_99_dilations_0, groups = x_99_groups_0, pad = x_99_pad_0, pad_type = x_99_pad_type_0, strides = x_99_strides_0, weight = mel2wav_source_downs_2_weight_to_fp16, x = input_33_cast_fp16)[name = string("x_99_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_97_to_fp16 = const()[name = string("alpha_97_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40051072)))];
            tensor<fp16, [1, 64, 46081]> var_1903_cast_fp16 = mul(x = x_99_cast_fp16, y = alpha_97_to_fp16)[name = string("op_1903_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_1904_cast_fp16 = sin(x = var_1903_cast_fp16)[name = string("op_1904_cast_fp16")];
            fp16 var_1870_promoted_to_fp16 = const()[name = string("op_1870_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_1905_cast_fp16 = pow(x = var_1904_cast_fp16, y = var_1870_promoted_to_fp16)[name = string("op_1905_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_1900_to_fp16 = const()[name = string("op_1900_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40051264)))];
            tensor<fp16, [1, 64, 46081]> var_1906_cast_fp16 = mul(x = var_1900_to_fp16, y = var_1905_cast_fp16)[name = string("op_1906_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_141_cast_fp16 = add(x = x_99_cast_fp16, y = var_1906_cast_fp16)[name = string("input_141_cast_fp16")];
            string x_101_pad_type_0 = const()[name = string("x_101_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_101_pad_0 = const()[name = string("x_101_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> x_101_strides_0 = const()[name = string("x_101_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_101_dilations_0 = const()[name = string("x_101_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_101_groups_0 = const()[name = string("x_101_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 11]> weight_115_to_fp16 = const()[name = string("weight_115_to_fp16"), val = tensor<fp16, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40051456)))];
            tensor<fp16, [64]> mel2wav_source_resblocks_2_convs1_0_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_2_convs1_0_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40141632)))];
            tensor<fp16, [1, 64, 46081]> x_101_cast_fp16 = conv(bias = mel2wav_source_resblocks_2_convs1_0_bias_to_fp16, dilations = x_101_dilations_0, groups = x_101_groups_0, pad = x_101_pad_0, pad_type = x_101_pad_type_0, strides = x_101_strides_0, weight = weight_115_to_fp16, x = input_141_cast_fp16)[name = string("x_101_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_99_to_fp16 = const()[name = string("alpha_99_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40141824)))];
            tensor<fp16, [1, 64, 46081]> var_1927_cast_fp16 = mul(x = x_101_cast_fp16, y = alpha_99_to_fp16)[name = string("op_1927_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_1928_cast_fp16 = sin(x = var_1927_cast_fp16)[name = string("op_1928_cast_fp16")];
            fp16 var_1870_promoted_1_to_fp16 = const()[name = string("op_1870_promoted_1_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_1929_cast_fp16 = pow(x = var_1928_cast_fp16, y = var_1870_promoted_1_to_fp16)[name = string("op_1929_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_1924_to_fp16 = const()[name = string("op_1924_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40142016)))];
            tensor<fp16, [1, 64, 46081]> var_1930_cast_fp16 = mul(x = var_1924_to_fp16, y = var_1929_cast_fp16)[name = string("op_1930_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_143_cast_fp16 = add(x = x_101_cast_fp16, y = var_1930_cast_fp16)[name = string("input_143_cast_fp16")];
            string xt_49_pad_type_0 = const()[name = string("xt_49_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_49_pad_0 = const()[name = string("xt_49_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> xt_49_strides_0 = const()[name = string("xt_49_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_49_dilations_0 = const()[name = string("xt_49_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_49_groups_0 = const()[name = string("xt_49_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 11]> weight_117_to_fp16 = const()[name = string("weight_117_to_fp16"), val = tensor<fp16, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40142208)))];
            tensor<fp16, [64]> mel2wav_source_resblocks_2_convs2_0_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_2_convs2_0_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40232384)))];
            tensor<fp16, [1, 64, 46081]> xt_49_cast_fp16 = conv(bias = mel2wav_source_resblocks_2_convs2_0_bias_to_fp16, dilations = xt_49_dilations_0, groups = xt_49_groups_0, pad = xt_49_pad_0, pad_type = xt_49_pad_type_0, strides = xt_49_strides_0, weight = weight_117_to_fp16, x = input_143_cast_fp16)[name = string("xt_49_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> x_103_cast_fp16 = add(x = xt_49_cast_fp16, y = x_99_cast_fp16)[name = string("x_103_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_101_to_fp16 = const()[name = string("alpha_101_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40232576)))];
            tensor<fp16, [1, 64, 46081]> var_1952_cast_fp16 = mul(x = x_103_cast_fp16, y = alpha_101_to_fp16)[name = string("op_1952_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_1953_cast_fp16 = sin(x = var_1952_cast_fp16)[name = string("op_1953_cast_fp16")];
            fp16 var_1870_promoted_2_to_fp16 = const()[name = string("op_1870_promoted_2_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_1954_cast_fp16 = pow(x = var_1953_cast_fp16, y = var_1870_promoted_2_to_fp16)[name = string("op_1954_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_1949_to_fp16 = const()[name = string("op_1949_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40232768)))];
            tensor<fp16, [1, 64, 46081]> var_1955_cast_fp16 = mul(x = var_1949_to_fp16, y = var_1954_cast_fp16)[name = string("op_1955_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_145_cast_fp16 = add(x = x_103_cast_fp16, y = var_1955_cast_fp16)[name = string("input_145_cast_fp16")];
            string x_105_pad_type_0 = const()[name = string("x_105_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_105_pad_0 = const()[name = string("x_105_pad_0"), val = tensor<int32, [2]>([15, 15])];
            tensor<int32, [1]> x_105_dilations_0 = const()[name = string("x_105_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_105_strides_0 = const()[name = string("x_105_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_105_groups_0 = const()[name = string("x_105_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 11]> weight_119_to_fp16 = const()[name = string("weight_119_to_fp16"), val = tensor<fp16, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40232960)))];
            tensor<fp16, [64]> mel2wav_source_resblocks_2_convs1_1_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_2_convs1_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40323136)))];
            tensor<fp16, [1, 64, 46081]> x_105_cast_fp16 = conv(bias = mel2wav_source_resblocks_2_convs1_1_bias_to_fp16, dilations = x_105_dilations_0, groups = x_105_groups_0, pad = x_105_pad_0, pad_type = x_105_pad_type_0, strides = x_105_strides_0, weight = weight_119_to_fp16, x = input_145_cast_fp16)[name = string("x_105_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_103_to_fp16 = const()[name = string("alpha_103_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40323328)))];
            tensor<fp16, [1, 64, 46081]> var_1976_cast_fp16 = mul(x = x_105_cast_fp16, y = alpha_103_to_fp16)[name = string("op_1976_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_1977_cast_fp16 = sin(x = var_1976_cast_fp16)[name = string("op_1977_cast_fp16")];
            fp16 var_1870_promoted_3_to_fp16 = const()[name = string("op_1870_promoted_3_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_1978_cast_fp16 = pow(x = var_1977_cast_fp16, y = var_1870_promoted_3_to_fp16)[name = string("op_1978_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_1973_to_fp16 = const()[name = string("op_1973_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40323520)))];
            tensor<fp16, [1, 64, 46081]> var_1979_cast_fp16 = mul(x = var_1973_to_fp16, y = var_1978_cast_fp16)[name = string("op_1979_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_147_cast_fp16 = add(x = x_105_cast_fp16, y = var_1979_cast_fp16)[name = string("input_147_cast_fp16")];
            string xt_51_pad_type_0 = const()[name = string("xt_51_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_51_pad_0 = const()[name = string("xt_51_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> xt_51_strides_0 = const()[name = string("xt_51_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_51_dilations_0 = const()[name = string("xt_51_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_51_groups_0 = const()[name = string("xt_51_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 11]> weight_121_to_fp16 = const()[name = string("weight_121_to_fp16"), val = tensor<fp16, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40323712)))];
            tensor<fp16, [64]> mel2wav_source_resblocks_2_convs2_1_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_2_convs2_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40413888)))];
            tensor<fp16, [1, 64, 46081]> xt_51_cast_fp16 = conv(bias = mel2wav_source_resblocks_2_convs2_1_bias_to_fp16, dilations = xt_51_dilations_0, groups = xt_51_groups_0, pad = xt_51_pad_0, pad_type = xt_51_pad_type_0, strides = xt_51_strides_0, weight = weight_121_to_fp16, x = input_147_cast_fp16)[name = string("xt_51_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> x_107_cast_fp16 = add(x = xt_51_cast_fp16, y = x_103_cast_fp16)[name = string("x_107_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_105_to_fp16 = const()[name = string("alpha_105_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40414080)))];
            tensor<fp16, [1, 64, 46081]> var_2001_cast_fp16 = mul(x = x_107_cast_fp16, y = alpha_105_to_fp16)[name = string("op_2001_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2002_cast_fp16 = sin(x = var_2001_cast_fp16)[name = string("op_2002_cast_fp16")];
            fp16 var_1870_promoted_4_to_fp16 = const()[name = string("op_1870_promoted_4_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2003_cast_fp16 = pow(x = var_2002_cast_fp16, y = var_1870_promoted_4_to_fp16)[name = string("op_2003_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_1998_to_fp16 = const()[name = string("op_1998_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40414272)))];
            tensor<fp16, [1, 64, 46081]> var_2004_cast_fp16 = mul(x = var_1998_to_fp16, y = var_2003_cast_fp16)[name = string("op_2004_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_149_cast_fp16 = add(x = x_107_cast_fp16, y = var_2004_cast_fp16)[name = string("input_149_cast_fp16")];
            string x_109_pad_type_0 = const()[name = string("x_109_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_109_pad_0 = const()[name = string("x_109_pad_0"), val = tensor<int32, [2]>([25, 25])];
            tensor<int32, [1]> x_109_dilations_0 = const()[name = string("x_109_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_109_strides_0 = const()[name = string("x_109_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_109_groups_0 = const()[name = string("x_109_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 11]> weight_123_to_fp16 = const()[name = string("weight_123_to_fp16"), val = tensor<fp16, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40414464)))];
            tensor<fp16, [64]> mel2wav_source_resblocks_2_convs1_2_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_2_convs1_2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40504640)))];
            tensor<fp16, [1, 64, 46081]> x_109_cast_fp16 = conv(bias = mel2wav_source_resblocks_2_convs1_2_bias_to_fp16, dilations = x_109_dilations_0, groups = x_109_groups_0, pad = x_109_pad_0, pad_type = x_109_pad_type_0, strides = x_109_strides_0, weight = weight_123_to_fp16, x = input_149_cast_fp16)[name = string("x_109_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_107_to_fp16 = const()[name = string("alpha_107_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40504832)))];
            tensor<fp16, [1, 64, 46081]> var_2025_cast_fp16 = mul(x = x_109_cast_fp16, y = alpha_107_to_fp16)[name = string("op_2025_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2026_cast_fp16 = sin(x = var_2025_cast_fp16)[name = string("op_2026_cast_fp16")];
            fp16 var_1870_promoted_5_to_fp16 = const()[name = string("op_1870_promoted_5_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2027_cast_fp16 = pow(x = var_2026_cast_fp16, y = var_1870_promoted_5_to_fp16)[name = string("op_2027_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2022_to_fp16 = const()[name = string("op_2022_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40505024)))];
            tensor<fp16, [1, 64, 46081]> var_2028_cast_fp16 = mul(x = var_2022_to_fp16, y = var_2027_cast_fp16)[name = string("op_2028_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_151_cast_fp16 = add(x = x_109_cast_fp16, y = var_2028_cast_fp16)[name = string("input_151_cast_fp16")];
            string xt_53_pad_type_0 = const()[name = string("xt_53_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_53_pad_0 = const()[name = string("xt_53_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> xt_53_strides_0 = const()[name = string("xt_53_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_53_dilations_0 = const()[name = string("xt_53_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_53_groups_0 = const()[name = string("xt_53_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 11]> weight_125_to_fp16 = const()[name = string("weight_125_to_fp16"), val = tensor<fp16, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40505216)))];
            tensor<fp16, [64]> mel2wav_source_resblocks_2_convs2_2_bias_to_fp16 = const()[name = string("mel2wav_source_resblocks_2_convs2_2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40595392)))];
            tensor<fp16, [1, 64, 46081]> xt_53_cast_fp16 = conv(bias = mel2wav_source_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_125_to_fp16, x = input_151_cast_fp16)[name = string("xt_53_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> si_cast_fp16 = add(x = xt_53_cast_fp16, y = x_107_cast_fp16)[name = string("si_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> x_113_cast_fp16 = add(x = x_111_cast_fp16, y = si_cast_fp16)[name = string("x_113_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_109_to_fp16 = const()[name = string("alpha_109_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40595584)))];
            tensor<fp16, [1, 64, 46081]> var_2084_cast_fp16 = mul(x = x_113_cast_fp16, y = alpha_109_to_fp16)[name = string("op_2084_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2085_cast_fp16 = sin(x = var_2084_cast_fp16)[name = string("op_2085_cast_fp16")];
            fp16 var_2051_promoted_to_fp16 = const()[name = string("op_2051_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2086_cast_fp16 = pow(x = var_2085_cast_fp16, y = var_2051_promoted_to_fp16)[name = string("op_2086_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2081_to_fp16 = const()[name = string("op_2081_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40595776)))];
            tensor<fp16, [1, 64, 46081]> var_2087_cast_fp16 = mul(x = var_2081_to_fp16, y = var_2086_cast_fp16)[name = string("op_2087_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_153_cast_fp16 = add(x = x_113_cast_fp16, y = var_2087_cast_fp16)[name = string("input_153_cast_fp16")];
            string x_115_pad_type_0 = const()[name = string("x_115_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_115_pad_0 = const()[name = string("x_115_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> x_115_strides_0 = const()[name = string("x_115_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_115_dilations_0 = const()[name = string("x_115_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_115_groups_0 = const()[name = string("x_115_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 3]> weight_127_to_fp16 = const()[name = string("weight_127_to_fp16"), val = tensor<fp16, [64, 64, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40595968)))];
            tensor<fp16, [64]> mel2wav_resblocks_6_convs1_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_6_convs1_0_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40620608)))];
            tensor<fp16, [1, 64, 46081]> x_115_cast_fp16 = conv(bias = mel2wav_resblocks_6_convs1_0_bias_to_fp16, dilations = x_115_dilations_0, groups = x_115_groups_0, pad = x_115_pad_0, pad_type = x_115_pad_type_0, strides = x_115_strides_0, weight = weight_127_to_fp16, x = input_153_cast_fp16)[name = string("x_115_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_111_to_fp16 = const()[name = string("alpha_111_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40620800)))];
            tensor<fp16, [1, 64, 46081]> var_2108_cast_fp16 = mul(x = x_115_cast_fp16, y = alpha_111_to_fp16)[name = string("op_2108_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2109_cast_fp16 = sin(x = var_2108_cast_fp16)[name = string("op_2109_cast_fp16")];
            fp16 var_2051_promoted_1_to_fp16 = const()[name = string("op_2051_promoted_1_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2110_cast_fp16 = pow(x = var_2109_cast_fp16, y = var_2051_promoted_1_to_fp16)[name = string("op_2110_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2105_to_fp16 = const()[name = string("op_2105_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40620992)))];
            tensor<fp16, [1, 64, 46081]> var_2111_cast_fp16 = mul(x = var_2105_to_fp16, y = var_2110_cast_fp16)[name = string("op_2111_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_155_cast_fp16 = add(x = x_115_cast_fp16, y = var_2111_cast_fp16)[name = string("input_155_cast_fp16")];
            string xt_55_pad_type_0 = const()[name = string("xt_55_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_55_pad_0 = const()[name = string("xt_55_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> xt_55_strides_0 = const()[name = string("xt_55_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_55_dilations_0 = const()[name = string("xt_55_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_55_groups_0 = const()[name = string("xt_55_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 3]> weight_129_to_fp16 = const()[name = string("weight_129_to_fp16"), val = tensor<fp16, [64, 64, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40621184)))];
            tensor<fp16, [64]> mel2wav_resblocks_6_convs2_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_6_convs2_0_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40645824)))];
            tensor<fp16, [1, 64, 46081]> xt_55_cast_fp16 = conv(bias = mel2wav_resblocks_6_convs2_0_bias_to_fp16, dilations = xt_55_dilations_0, groups = xt_55_groups_0, pad = xt_55_pad_0, pad_type = xt_55_pad_type_0, strides = xt_55_strides_0, weight = weight_129_to_fp16, x = input_155_cast_fp16)[name = string("xt_55_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> x_117_cast_fp16 = add(x = xt_55_cast_fp16, y = x_113_cast_fp16)[name = string("x_117_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_113_to_fp16 = const()[name = string("alpha_113_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40646016)))];
            tensor<fp16, [1, 64, 46081]> var_2133_cast_fp16 = mul(x = x_117_cast_fp16, y = alpha_113_to_fp16)[name = string("op_2133_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2134_cast_fp16 = sin(x = var_2133_cast_fp16)[name = string("op_2134_cast_fp16")];
            fp16 var_2051_promoted_2_to_fp16 = const()[name = string("op_2051_promoted_2_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2135_cast_fp16 = pow(x = var_2134_cast_fp16, y = var_2051_promoted_2_to_fp16)[name = string("op_2135_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2130_to_fp16 = const()[name = string("op_2130_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40646208)))];
            tensor<fp16, [1, 64, 46081]> var_2136_cast_fp16 = mul(x = var_2130_to_fp16, y = var_2135_cast_fp16)[name = string("op_2136_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_157_cast_fp16 = add(x = x_117_cast_fp16, y = var_2136_cast_fp16)[name = string("input_157_cast_fp16")];
            string x_119_pad_type_0 = const()[name = string("x_119_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_119_pad_0 = const()[name = string("x_119_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> x_119_dilations_0 = const()[name = string("x_119_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_119_strides_0 = const()[name = string("x_119_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_119_groups_0 = const()[name = string("x_119_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 3]> weight_131_to_fp16 = const()[name = string("weight_131_to_fp16"), val = tensor<fp16, [64, 64, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40646400)))];
            tensor<fp16, [64]> mel2wav_resblocks_6_convs1_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_6_convs1_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40671040)))];
            tensor<fp16, [1, 64, 46081]> x_119_cast_fp16 = conv(bias = mel2wav_resblocks_6_convs1_1_bias_to_fp16, dilations = x_119_dilations_0, groups = x_119_groups_0, pad = x_119_pad_0, pad_type = x_119_pad_type_0, strides = x_119_strides_0, weight = weight_131_to_fp16, x = input_157_cast_fp16)[name = string("x_119_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_115_to_fp16 = const()[name = string("alpha_115_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40671232)))];
            tensor<fp16, [1, 64, 46081]> var_2157_cast_fp16 = mul(x = x_119_cast_fp16, y = alpha_115_to_fp16)[name = string("op_2157_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2158_cast_fp16 = sin(x = var_2157_cast_fp16)[name = string("op_2158_cast_fp16")];
            fp16 var_2051_promoted_3_to_fp16 = const()[name = string("op_2051_promoted_3_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2159_cast_fp16 = pow(x = var_2158_cast_fp16, y = var_2051_promoted_3_to_fp16)[name = string("op_2159_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2154_to_fp16 = const()[name = string("op_2154_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40671424)))];
            tensor<fp16, [1, 64, 46081]> var_2160_cast_fp16 = mul(x = var_2154_to_fp16, y = var_2159_cast_fp16)[name = string("op_2160_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_159_cast_fp16 = add(x = x_119_cast_fp16, y = var_2160_cast_fp16)[name = string("input_159_cast_fp16")];
            string xt_57_pad_type_0 = const()[name = string("xt_57_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_57_pad_0 = const()[name = string("xt_57_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> xt_57_strides_0 = const()[name = string("xt_57_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_57_dilations_0 = const()[name = string("xt_57_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_57_groups_0 = const()[name = string("xt_57_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 3]> weight_133_to_fp16 = const()[name = string("weight_133_to_fp16"), val = tensor<fp16, [64, 64, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40671616)))];
            tensor<fp16, [64]> mel2wav_resblocks_6_convs2_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_6_convs2_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40696256)))];
            tensor<fp16, [1, 64, 46081]> xt_57_cast_fp16 = conv(bias = mel2wav_resblocks_6_convs2_1_bias_to_fp16, dilations = xt_57_dilations_0, groups = xt_57_groups_0, pad = xt_57_pad_0, pad_type = xt_57_pad_type_0, strides = xt_57_strides_0, weight = weight_133_to_fp16, x = input_159_cast_fp16)[name = string("xt_57_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> x_121_cast_fp16 = add(x = xt_57_cast_fp16, y = x_117_cast_fp16)[name = string("x_121_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_117_to_fp16 = const()[name = string("alpha_117_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40696448)))];
            tensor<fp16, [1, 64, 46081]> var_2182_cast_fp16 = mul(x = x_121_cast_fp16, y = alpha_117_to_fp16)[name = string("op_2182_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2183_cast_fp16 = sin(x = var_2182_cast_fp16)[name = string("op_2183_cast_fp16")];
            fp16 var_2051_promoted_4_to_fp16 = const()[name = string("op_2051_promoted_4_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2184_cast_fp16 = pow(x = var_2183_cast_fp16, y = var_2051_promoted_4_to_fp16)[name = string("op_2184_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2179_to_fp16 = const()[name = string("op_2179_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40696640)))];
            tensor<fp16, [1, 64, 46081]> var_2185_cast_fp16 = mul(x = var_2179_to_fp16, y = var_2184_cast_fp16)[name = string("op_2185_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_161_cast_fp16 = add(x = x_121_cast_fp16, y = var_2185_cast_fp16)[name = string("input_161_cast_fp16")];
            string x_123_pad_type_0 = const()[name = string("x_123_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_123_pad_0 = const()[name = string("x_123_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> x_123_dilations_0 = const()[name = string("x_123_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_123_strides_0 = const()[name = string("x_123_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_123_groups_0 = const()[name = string("x_123_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 3]> weight_135_to_fp16 = const()[name = string("weight_135_to_fp16"), val = tensor<fp16, [64, 64, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40696832)))];
            tensor<fp16, [64]> mel2wav_resblocks_6_convs1_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_6_convs1_2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40721472)))];
            tensor<fp16, [1, 64, 46081]> x_123_cast_fp16 = conv(bias = mel2wav_resblocks_6_convs1_2_bias_to_fp16, dilations = x_123_dilations_0, groups = x_123_groups_0, pad = x_123_pad_0, pad_type = x_123_pad_type_0, strides = x_123_strides_0, weight = weight_135_to_fp16, x = input_161_cast_fp16)[name = string("x_123_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_119_to_fp16 = const()[name = string("alpha_119_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40721664)))];
            tensor<fp16, [1, 64, 46081]> var_2206_cast_fp16 = mul(x = x_123_cast_fp16, y = alpha_119_to_fp16)[name = string("op_2206_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2207_cast_fp16 = sin(x = var_2206_cast_fp16)[name = string("op_2207_cast_fp16")];
            fp16 var_2051_promoted_5_to_fp16 = const()[name = string("op_2051_promoted_5_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2208_cast_fp16 = pow(x = var_2207_cast_fp16, y = var_2051_promoted_5_to_fp16)[name = string("op_2208_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2203_to_fp16 = const()[name = string("op_2203_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40721856)))];
            tensor<fp16, [1, 64, 46081]> var_2209_cast_fp16 = mul(x = var_2203_to_fp16, y = var_2208_cast_fp16)[name = string("op_2209_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_163_cast_fp16 = add(x = x_123_cast_fp16, y = var_2209_cast_fp16)[name = string("input_163_cast_fp16")];
            string xt_59_pad_type_0 = const()[name = string("xt_59_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_59_pad_0 = const()[name = string("xt_59_pad_0"), val = tensor<int32, [2]>([1, 1])];
            tensor<int32, [1]> xt_59_strides_0 = const()[name = string("xt_59_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_59_dilations_0 = const()[name = string("xt_59_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_59_groups_0 = const()[name = string("xt_59_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 3]> weight_137_to_fp16 = const()[name = string("weight_137_to_fp16"), val = tensor<fp16, [64, 64, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40722048)))];
            tensor<fp16, [64]> mel2wav_resblocks_6_convs2_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_6_convs2_2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40746688)))];
            tensor<fp16, [1, 64, 46081]> xt_59_cast_fp16 = conv(bias = mel2wav_resblocks_6_convs2_2_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_137_to_fp16, x = input_163_cast_fp16)[name = string("xt_59_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> xs_13_cast_fp16 = add(x = xt_59_cast_fp16, y = x_121_cast_fp16)[name = string("xs_13_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_121_to_fp16 = const()[name = string("alpha_121_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40746880)))];
            tensor<fp16, [1, 64, 46081]> var_2265_cast_fp16 = mul(x = x_113_cast_fp16, y = alpha_121_to_fp16)[name = string("op_2265_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2266_cast_fp16 = sin(x = var_2265_cast_fp16)[name = string("op_2266_cast_fp16")];
            fp16 var_2232_promoted_to_fp16 = const()[name = string("op_2232_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2267_cast_fp16 = pow(x = var_2266_cast_fp16, y = var_2232_promoted_to_fp16)[name = string("op_2267_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2262_to_fp16 = const()[name = string("op_2262_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40747072)))];
            tensor<fp16, [1, 64, 46081]> var_2268_cast_fp16 = mul(x = var_2262_to_fp16, y = var_2267_cast_fp16)[name = string("op_2268_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_165_cast_fp16 = add(x = x_113_cast_fp16, y = var_2268_cast_fp16)[name = string("input_165_cast_fp16")];
            string x_125_pad_type_0 = const()[name = string("x_125_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_125_pad_0 = const()[name = string("x_125_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> x_125_strides_0 = const()[name = string("x_125_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_125_dilations_0 = const()[name = string("x_125_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_125_groups_0 = const()[name = string("x_125_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 7]> weight_139_to_fp16 = const()[name = string("weight_139_to_fp16"), val = tensor<fp16, [64, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40747264)))];
            tensor<fp16, [64]> mel2wav_resblocks_7_convs1_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_7_convs1_0_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40804672)))];
            tensor<fp16, [1, 64, 46081]> x_125_cast_fp16 = conv(bias = mel2wav_resblocks_7_convs1_0_bias_to_fp16, dilations = x_125_dilations_0, groups = x_125_groups_0, pad = x_125_pad_0, pad_type = x_125_pad_type_0, strides = x_125_strides_0, weight = weight_139_to_fp16, x = input_165_cast_fp16)[name = string("x_125_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_123_to_fp16 = const()[name = string("alpha_123_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40804864)))];
            tensor<fp16, [1, 64, 46081]> var_2289_cast_fp16 = mul(x = x_125_cast_fp16, y = alpha_123_to_fp16)[name = string("op_2289_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2290_cast_fp16 = sin(x = var_2289_cast_fp16)[name = string("op_2290_cast_fp16")];
            fp16 var_2232_promoted_1_to_fp16 = const()[name = string("op_2232_promoted_1_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2291_cast_fp16 = pow(x = var_2290_cast_fp16, y = var_2232_promoted_1_to_fp16)[name = string("op_2291_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2286_to_fp16 = const()[name = string("op_2286_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40805056)))];
            tensor<fp16, [1, 64, 46081]> var_2292_cast_fp16 = mul(x = var_2286_to_fp16, y = var_2291_cast_fp16)[name = string("op_2292_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_167_cast_fp16 = add(x = x_125_cast_fp16, y = var_2292_cast_fp16)[name = string("input_167_cast_fp16")];
            string xt_61_pad_type_0 = const()[name = string("xt_61_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_61_pad_0 = const()[name = string("xt_61_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_61_strides_0 = const()[name = string("xt_61_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_61_dilations_0 = const()[name = string("xt_61_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_61_groups_0 = const()[name = string("xt_61_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 7]> weight_141_to_fp16 = const()[name = string("weight_141_to_fp16"), val = tensor<fp16, [64, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40805248)))];
            tensor<fp16, [64]> mel2wav_resblocks_7_convs2_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_7_convs2_0_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40862656)))];
            tensor<fp16, [1, 64, 46081]> xt_61_cast_fp16 = conv(bias = mel2wav_resblocks_7_convs2_0_bias_to_fp16, dilations = xt_61_dilations_0, groups = xt_61_groups_0, pad = xt_61_pad_0, pad_type = xt_61_pad_type_0, strides = xt_61_strides_0, weight = weight_141_to_fp16, x = input_167_cast_fp16)[name = string("xt_61_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> x_127_cast_fp16 = add(x = xt_61_cast_fp16, y = x_113_cast_fp16)[name = string("x_127_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_125_to_fp16 = const()[name = string("alpha_125_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40862848)))];
            tensor<fp16, [1, 64, 46081]> var_2314_cast_fp16 = mul(x = x_127_cast_fp16, y = alpha_125_to_fp16)[name = string("op_2314_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2315_cast_fp16 = sin(x = var_2314_cast_fp16)[name = string("op_2315_cast_fp16")];
            fp16 var_2232_promoted_2_to_fp16 = const()[name = string("op_2232_promoted_2_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2316_cast_fp16 = pow(x = var_2315_cast_fp16, y = var_2232_promoted_2_to_fp16)[name = string("op_2316_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2311_to_fp16 = const()[name = string("op_2311_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40863040)))];
            tensor<fp16, [1, 64, 46081]> var_2317_cast_fp16 = mul(x = var_2311_to_fp16, y = var_2316_cast_fp16)[name = string("op_2317_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_169_cast_fp16 = add(x = x_127_cast_fp16, y = var_2317_cast_fp16)[name = string("input_169_cast_fp16")];
            string x_129_pad_type_0 = const()[name = string("x_129_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_129_pad_0 = const()[name = string("x_129_pad_0"), val = tensor<int32, [2]>([9, 9])];
            tensor<int32, [1]> x_129_dilations_0 = const()[name = string("x_129_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_129_strides_0 = const()[name = string("x_129_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_129_groups_0 = const()[name = string("x_129_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 7]> weight_143_to_fp16 = const()[name = string("weight_143_to_fp16"), val = tensor<fp16, [64, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40863232)))];
            tensor<fp16, [64]> mel2wav_resblocks_7_convs1_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_7_convs1_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40920640)))];
            tensor<fp16, [1, 64, 46081]> x_129_cast_fp16 = conv(bias = mel2wav_resblocks_7_convs1_1_bias_to_fp16, dilations = x_129_dilations_0, groups = x_129_groups_0, pad = x_129_pad_0, pad_type = x_129_pad_type_0, strides = x_129_strides_0, weight = weight_143_to_fp16, x = input_169_cast_fp16)[name = string("x_129_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_127_to_fp16 = const()[name = string("alpha_127_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40920832)))];
            tensor<fp16, [1, 64, 46081]> var_2338_cast_fp16 = mul(x = x_129_cast_fp16, y = alpha_127_to_fp16)[name = string("op_2338_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2339_cast_fp16 = sin(x = var_2338_cast_fp16)[name = string("op_2339_cast_fp16")];
            fp16 var_2232_promoted_3_to_fp16 = const()[name = string("op_2232_promoted_3_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2340_cast_fp16 = pow(x = var_2339_cast_fp16, y = var_2232_promoted_3_to_fp16)[name = string("op_2340_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2335_to_fp16 = const()[name = string("op_2335_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40921024)))];
            tensor<fp16, [1, 64, 46081]> var_2341_cast_fp16 = mul(x = var_2335_to_fp16, y = var_2340_cast_fp16)[name = string("op_2341_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_171_cast_fp16 = add(x = x_129_cast_fp16, y = var_2341_cast_fp16)[name = string("input_171_cast_fp16")];
            string xt_63_pad_type_0 = const()[name = string("xt_63_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_63_pad_0 = const()[name = string("xt_63_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_63_strides_0 = const()[name = string("xt_63_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_63_dilations_0 = const()[name = string("xt_63_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_63_groups_0 = const()[name = string("xt_63_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 7]> weight_145_to_fp16 = const()[name = string("weight_145_to_fp16"), val = tensor<fp16, [64, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40921216)))];
            tensor<fp16, [64]> mel2wav_resblocks_7_convs2_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_7_convs2_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40978624)))];
            tensor<fp16, [1, 64, 46081]> xt_63_cast_fp16 = conv(bias = mel2wav_resblocks_7_convs2_1_bias_to_fp16, dilations = xt_63_dilations_0, groups = xt_63_groups_0, pad = xt_63_pad_0, pad_type = xt_63_pad_type_0, strides = xt_63_strides_0, weight = weight_145_to_fp16, x = input_171_cast_fp16)[name = string("xt_63_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> x_131_cast_fp16 = add(x = xt_63_cast_fp16, y = x_127_cast_fp16)[name = string("x_131_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_129_to_fp16 = const()[name = string("alpha_129_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40978816)))];
            tensor<fp16, [1, 64, 46081]> var_2363_cast_fp16 = mul(x = x_131_cast_fp16, y = alpha_129_to_fp16)[name = string("op_2363_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2364_cast_fp16 = sin(x = var_2363_cast_fp16)[name = string("op_2364_cast_fp16")];
            fp16 var_2232_promoted_4_to_fp16 = const()[name = string("op_2232_promoted_4_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2365_cast_fp16 = pow(x = var_2364_cast_fp16, y = var_2232_promoted_4_to_fp16)[name = string("op_2365_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2360_to_fp16 = const()[name = string("op_2360_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40979008)))];
            tensor<fp16, [1, 64, 46081]> var_2366_cast_fp16 = mul(x = var_2360_to_fp16, y = var_2365_cast_fp16)[name = string("op_2366_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_173_cast_fp16 = add(x = x_131_cast_fp16, y = var_2366_cast_fp16)[name = string("input_173_cast_fp16")];
            string x_133_pad_type_0 = const()[name = string("x_133_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_133_pad_0 = const()[name = string("x_133_pad_0"), val = tensor<int32, [2]>([15, 15])];
            tensor<int32, [1]> x_133_dilations_0 = const()[name = string("x_133_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_133_strides_0 = const()[name = string("x_133_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_133_groups_0 = const()[name = string("x_133_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 7]> weight_147_to_fp16 = const()[name = string("weight_147_to_fp16"), val = tensor<fp16, [64, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40979200)))];
            tensor<fp16, [64]> mel2wav_resblocks_7_convs1_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_7_convs1_2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41036608)))];
            tensor<fp16, [1, 64, 46081]> x_133_cast_fp16 = conv(bias = mel2wav_resblocks_7_convs1_2_bias_to_fp16, dilations = x_133_dilations_0, groups = x_133_groups_0, pad = x_133_pad_0, pad_type = x_133_pad_type_0, strides = x_133_strides_0, weight = weight_147_to_fp16, x = input_173_cast_fp16)[name = string("x_133_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_131_to_fp16 = const()[name = string("alpha_131_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41036800)))];
            tensor<fp16, [1, 64, 46081]> var_2387_cast_fp16 = mul(x = x_133_cast_fp16, y = alpha_131_to_fp16)[name = string("op_2387_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2388_cast_fp16 = sin(x = var_2387_cast_fp16)[name = string("op_2388_cast_fp16")];
            fp16 var_2232_promoted_5_to_fp16 = const()[name = string("op_2232_promoted_5_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2389_cast_fp16 = pow(x = var_2388_cast_fp16, y = var_2232_promoted_5_to_fp16)[name = string("op_2389_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2384_to_fp16 = const()[name = string("op_2384_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41036992)))];
            tensor<fp16, [1, 64, 46081]> var_2390_cast_fp16 = mul(x = var_2384_to_fp16, y = var_2389_cast_fp16)[name = string("op_2390_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_175_cast_fp16 = add(x = x_133_cast_fp16, y = var_2390_cast_fp16)[name = string("input_175_cast_fp16")];
            string xt_65_pad_type_0 = const()[name = string("xt_65_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_65_pad_0 = const()[name = string("xt_65_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> xt_65_strides_0 = const()[name = string("xt_65_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_65_dilations_0 = const()[name = string("xt_65_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_65_groups_0 = const()[name = string("xt_65_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 7]> weight_149_to_fp16 = const()[name = string("weight_149_to_fp16"), val = tensor<fp16, [64, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41037184)))];
            tensor<fp16, [64]> mel2wav_resblocks_7_convs2_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_7_convs2_2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41094592)))];
            tensor<fp16, [1, 64, 46081]> xt_65_cast_fp16 = conv(bias = mel2wav_resblocks_7_convs2_2_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_149_to_fp16, x = input_175_cast_fp16)[name = string("xt_65_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2403_cast_fp16 = add(x = xt_65_cast_fp16, y = x_131_cast_fp16)[name = string("op_2403_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> xs_15_cast_fp16 = add(x = xs_13_cast_fp16, y = var_2403_cast_fp16)[name = string("xs_15_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_133_to_fp16 = const()[name = string("alpha_133_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41094784)))];
            tensor<fp16, [1, 64, 46081]> var_2448_cast_fp16 = mul(x = x_113_cast_fp16, y = alpha_133_to_fp16)[name = string("op_2448_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2449_cast_fp16 = sin(x = var_2448_cast_fp16)[name = string("op_2449_cast_fp16")];
            fp16 var_2415_promoted_to_fp16 = const()[name = string("op_2415_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2450_cast_fp16 = pow(x = var_2449_cast_fp16, y = var_2415_promoted_to_fp16)[name = string("op_2450_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2445_to_fp16 = const()[name = string("op_2445_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41094976)))];
            tensor<fp16, [1, 64, 46081]> var_2451_cast_fp16 = mul(x = var_2445_to_fp16, y = var_2450_cast_fp16)[name = string("op_2451_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_177_cast_fp16 = add(x = x_113_cast_fp16, y = var_2451_cast_fp16)[name = string("input_177_cast_fp16")];
            string x_135_pad_type_0 = const()[name = string("x_135_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_135_pad_0 = const()[name = string("x_135_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> x_135_strides_0 = const()[name = string("x_135_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_135_dilations_0 = const()[name = string("x_135_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_135_groups_0 = const()[name = string("x_135_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 11]> weight_151_to_fp16 = const()[name = string("weight_151_to_fp16"), val = tensor<fp16, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41095168)))];
            tensor<fp16, [64]> mel2wav_resblocks_8_convs1_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_8_convs1_0_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41185344)))];
            tensor<fp16, [1, 64, 46081]> x_135_cast_fp16 = conv(bias = mel2wav_resblocks_8_convs1_0_bias_to_fp16, dilations = x_135_dilations_0, groups = x_135_groups_0, pad = x_135_pad_0, pad_type = x_135_pad_type_0, strides = x_135_strides_0, weight = weight_151_to_fp16, x = input_177_cast_fp16)[name = string("x_135_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_135_to_fp16 = const()[name = string("alpha_135_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41185536)))];
            tensor<fp16, [1, 64, 46081]> var_2472_cast_fp16 = mul(x = x_135_cast_fp16, y = alpha_135_to_fp16)[name = string("op_2472_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2473_cast_fp16 = sin(x = var_2472_cast_fp16)[name = string("op_2473_cast_fp16")];
            fp16 var_2415_promoted_1_to_fp16 = const()[name = string("op_2415_promoted_1_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2474_cast_fp16 = pow(x = var_2473_cast_fp16, y = var_2415_promoted_1_to_fp16)[name = string("op_2474_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2469_to_fp16 = const()[name = string("op_2469_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41185728)))];
            tensor<fp16, [1, 64, 46081]> var_2475_cast_fp16 = mul(x = var_2469_to_fp16, y = var_2474_cast_fp16)[name = string("op_2475_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_179_cast_fp16 = add(x = x_135_cast_fp16, y = var_2475_cast_fp16)[name = string("input_179_cast_fp16")];
            string xt_67_pad_type_0 = const()[name = string("xt_67_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_67_pad_0 = const()[name = string("xt_67_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> xt_67_strides_0 = const()[name = string("xt_67_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_67_dilations_0 = const()[name = string("xt_67_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_67_groups_0 = const()[name = string("xt_67_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 11]> weight_153_to_fp16 = const()[name = string("weight_153_to_fp16"), val = tensor<fp16, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41185920)))];
            tensor<fp16, [64]> mel2wav_resblocks_8_convs2_0_bias_to_fp16 = const()[name = string("mel2wav_resblocks_8_convs2_0_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41276096)))];
            tensor<fp16, [1, 64, 46081]> xt_67_cast_fp16 = conv(bias = mel2wav_resblocks_8_convs2_0_bias_to_fp16, dilations = xt_67_dilations_0, groups = xt_67_groups_0, pad = xt_67_pad_0, pad_type = xt_67_pad_type_0, strides = xt_67_strides_0, weight = weight_153_to_fp16, x = input_179_cast_fp16)[name = string("xt_67_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> x_137_cast_fp16 = add(x = xt_67_cast_fp16, y = x_113_cast_fp16)[name = string("x_137_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_137_to_fp16 = const()[name = string("alpha_137_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41276288)))];
            tensor<fp16, [1, 64, 46081]> var_2497_cast_fp16 = mul(x = x_137_cast_fp16, y = alpha_137_to_fp16)[name = string("op_2497_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2498_cast_fp16 = sin(x = var_2497_cast_fp16)[name = string("op_2498_cast_fp16")];
            fp16 var_2415_promoted_2_to_fp16 = const()[name = string("op_2415_promoted_2_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2499_cast_fp16 = pow(x = var_2498_cast_fp16, y = var_2415_promoted_2_to_fp16)[name = string("op_2499_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2494_to_fp16 = const()[name = string("op_2494_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41276480)))];
            tensor<fp16, [1, 64, 46081]> var_2500_cast_fp16 = mul(x = var_2494_to_fp16, y = var_2499_cast_fp16)[name = string("op_2500_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_181_cast_fp16 = add(x = x_137_cast_fp16, y = var_2500_cast_fp16)[name = string("input_181_cast_fp16")];
            string x_139_pad_type_0 = const()[name = string("x_139_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_139_pad_0 = const()[name = string("x_139_pad_0"), val = tensor<int32, [2]>([15, 15])];
            tensor<int32, [1]> x_139_dilations_0 = const()[name = string("x_139_dilations_0"), val = tensor<int32, [1]>([3])];
            tensor<int32, [1]> x_139_strides_0 = const()[name = string("x_139_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_139_groups_0 = const()[name = string("x_139_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 11]> weight_155_to_fp16 = const()[name = string("weight_155_to_fp16"), val = tensor<fp16, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41276672)))];
            tensor<fp16, [64]> mel2wav_resblocks_8_convs1_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_8_convs1_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41366848)))];
            tensor<fp16, [1, 64, 46081]> x_139_cast_fp16 = conv(bias = mel2wav_resblocks_8_convs1_1_bias_to_fp16, dilations = x_139_dilations_0, groups = x_139_groups_0, pad = x_139_pad_0, pad_type = x_139_pad_type_0, strides = x_139_strides_0, weight = weight_155_to_fp16, x = input_181_cast_fp16)[name = string("x_139_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_139_to_fp16 = const()[name = string("alpha_139_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41367040)))];
            tensor<fp16, [1, 64, 46081]> var_2521_cast_fp16 = mul(x = x_139_cast_fp16, y = alpha_139_to_fp16)[name = string("op_2521_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2522_cast_fp16 = sin(x = var_2521_cast_fp16)[name = string("op_2522_cast_fp16")];
            fp16 var_2415_promoted_3_to_fp16 = const()[name = string("op_2415_promoted_3_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2523_cast_fp16 = pow(x = var_2522_cast_fp16, y = var_2415_promoted_3_to_fp16)[name = string("op_2523_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2518_to_fp16 = const()[name = string("op_2518_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41367232)))];
            tensor<fp16, [1, 64, 46081]> var_2524_cast_fp16 = mul(x = var_2518_to_fp16, y = var_2523_cast_fp16)[name = string("op_2524_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_183_cast_fp16 = add(x = x_139_cast_fp16, y = var_2524_cast_fp16)[name = string("input_183_cast_fp16")];
            string xt_69_pad_type_0 = const()[name = string("xt_69_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_69_pad_0 = const()[name = string("xt_69_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> xt_69_strides_0 = const()[name = string("xt_69_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_69_dilations_0 = const()[name = string("xt_69_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_69_groups_0 = const()[name = string("xt_69_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 11]> weight_157_to_fp16 = const()[name = string("weight_157_to_fp16"), val = tensor<fp16, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41367424)))];
            tensor<fp16, [64]> mel2wav_resblocks_8_convs2_1_bias_to_fp16 = const()[name = string("mel2wav_resblocks_8_convs2_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41457600)))];
            tensor<fp16, [1, 64, 46081]> xt_69_cast_fp16 = conv(bias = mel2wav_resblocks_8_convs2_1_bias_to_fp16, dilations = xt_69_dilations_0, groups = xt_69_groups_0, pad = xt_69_pad_0, pad_type = xt_69_pad_type_0, strides = xt_69_strides_0, weight = weight_157_to_fp16, x = input_183_cast_fp16)[name = string("xt_69_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> x_141_cast_fp16 = add(x = xt_69_cast_fp16, y = x_137_cast_fp16)[name = string("x_141_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_141_to_fp16 = const()[name = string("alpha_141_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41457792)))];
            tensor<fp16, [1, 64, 46081]> var_2546_cast_fp16 = mul(x = x_141_cast_fp16, y = alpha_141_to_fp16)[name = string("op_2546_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2547_cast_fp16 = sin(x = var_2546_cast_fp16)[name = string("op_2547_cast_fp16")];
            fp16 var_2415_promoted_4_to_fp16 = const()[name = string("op_2415_promoted_4_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2548_cast_fp16 = pow(x = var_2547_cast_fp16, y = var_2415_promoted_4_to_fp16)[name = string("op_2548_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2543_to_fp16 = const()[name = string("op_2543_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41457984)))];
            tensor<fp16, [1, 64, 46081]> var_2549_cast_fp16 = mul(x = var_2543_to_fp16, y = var_2548_cast_fp16)[name = string("op_2549_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_185_cast_fp16 = add(x = x_141_cast_fp16, y = var_2549_cast_fp16)[name = string("input_185_cast_fp16")];
            string x_143_pad_type_0 = const()[name = string("x_143_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_143_pad_0 = const()[name = string("x_143_pad_0"), val = tensor<int32, [2]>([25, 25])];
            tensor<int32, [1]> x_143_dilations_0 = const()[name = string("x_143_dilations_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [1]> x_143_strides_0 = const()[name = string("x_143_strides_0"), val = tensor<int32, [1]>([1])];
            int32 x_143_groups_0 = const()[name = string("x_143_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 11]> weight_159_to_fp16 = const()[name = string("weight_159_to_fp16"), val = tensor<fp16, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41458176)))];
            tensor<fp16, [64]> mel2wav_resblocks_8_convs1_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_8_convs1_2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41548352)))];
            tensor<fp16, [1, 64, 46081]> x_143_cast_fp16 = conv(bias = mel2wav_resblocks_8_convs1_2_bias_to_fp16, dilations = x_143_dilations_0, groups = x_143_groups_0, pad = x_143_pad_0, pad_type = x_143_pad_type_0, strides = x_143_strides_0, weight = weight_159_to_fp16, x = input_185_cast_fp16)[name = string("x_143_cast_fp16")];
            tensor<fp16, [1, 64, 1]> alpha_143_to_fp16 = const()[name = string("alpha_143_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41548544)))];
            tensor<fp16, [1, 64, 46081]> var_2570_cast_fp16 = mul(x = x_143_cast_fp16, y = alpha_143_to_fp16)[name = string("op_2570_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2571_cast_fp16 = sin(x = var_2570_cast_fp16)[name = string("op_2571_cast_fp16")];
            fp16 var_2415_promoted_5_to_fp16 = const()[name = string("op_2415_promoted_5_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, 46081]> var_2572_cast_fp16 = pow(x = var_2571_cast_fp16, y = var_2415_promoted_5_to_fp16)[name = string("op_2572_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2567_to_fp16 = const()[name = string("op_2567_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41548736)))];
            tensor<fp16, [1, 64, 46081]> var_2573_cast_fp16 = mul(x = var_2567_to_fp16, y = var_2572_cast_fp16)[name = string("op_2573_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> input_187_cast_fp16 = add(x = x_143_cast_fp16, y = var_2573_cast_fp16)[name = string("input_187_cast_fp16")];
            string xt_pad_type_0 = const()[name = string("xt_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> xt_pad_0 = const()[name = string("xt_pad_0"), val = tensor<int32, [2]>([5, 5])];
            tensor<int32, [1]> xt_strides_0 = const()[name = string("xt_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> xt_dilations_0 = const()[name = string("xt_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 xt_groups_0 = const()[name = string("xt_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 11]> weight_161_to_fp16 = const()[name = string("weight_161_to_fp16"), val = tensor<fp16, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41548928)))];
            tensor<fp16, [64]> mel2wav_resblocks_8_convs2_2_bias_to_fp16 = const()[name = string("mel2wav_resblocks_8_convs2_2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41639104)))];
            tensor<fp16, [1, 64, 46081]> xt_cast_fp16 = conv(bias = mel2wav_resblocks_8_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_161_to_fp16, x = input_187_cast_fp16)[name = string("xt_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> var_2586_cast_fp16 = add(x = xt_cast_fp16, y = x_141_cast_fp16)[name = string("op_2586_cast_fp16")];
            tensor<fp16, [1, 64, 46081]> xs_cast_fp16 = add(x = xs_15_cast_fp16, y = var_2586_cast_fp16)[name = string("xs_cast_fp16")];
            fp16 _inversed_input_189_y_0_to_fp16 = const()[name = string("_inversed_input_189_y_0_to_fp16"), val = fp16(0x1.554p-2)];
            tensor<fp16, [1, 64, 46081]> _inversed_input_189_cast_fp16 = mul(x = xs_cast_fp16, y = _inversed_input_189_y_0_to_fp16)[name = string("_inversed_input_189_cast_fp16")];
            fp32 var_2591 = const()[name = string("op_2591"), val = fp32(0x1.47ae14p-7)];
            tensor<fp16, [1, 64, 46081]> input_cast_fp16 = leaky_relu(alpha = var_2591, x = _inversed_input_189_cast_fp16)[name = string("input_cast_fp16")];
            string x_145_pad_type_0 = const()[name = string("x_145_pad_type_0"), val = string("custom")];
            tensor<int32, [2]> x_145_pad_0 = const()[name = string("x_145_pad_0"), val = tensor<int32, [2]>([3, 3])];
            tensor<int32, [1]> x_145_strides_0 = const()[name = string("x_145_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_145_dilations_0 = const()[name = string("x_145_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_145_groups_0 = const()[name = string("x_145_groups_0"), val = int32(1)];
            tensor<fp16, [18, 64, 7]> weight_163_to_fp16 = const()[name = string("weight_163_to_fp16"), val = tensor<fp16, [18, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41639296)))];
            tensor<fp16, [18]> mel2wav_conv_post_bias_to_fp16 = const()[name = string("mel2wav_conv_post_bias_to_fp16"), val = tensor<fp16, [18]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41655488)))];
            tensor<fp16, [1, 18, 46081]> x_145_cast_fp16 = conv(bias = mel2wav_conv_post_bias_to_fp16, dilations = x_145_dilations_0, groups = x_145_groups_0, pad = x_145_pad_0, pad_type = x_145_pad_type_0, strides = x_145_strides_0, weight = weight_163_to_fp16, x = input_cast_fp16)[name = string("x_145_cast_fp16")];
            tensor<int32, [3]> var_2618_begin_0 = const()[name = string("op_2618_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> var_2618_end_0 = const()[name = string("op_2618_end_0"), val = tensor<int32, [3]>([1, 9, 46081])];
            tensor<bool, [3]> var_2618_end_mask_0 = const()[name = string("op_2618_end_mask_0"), val = tensor<bool, [3]>([true, false, true])];
            tensor<fp16, [1, 9, 46081]> var_2618_cast_fp16 = slice_by_index(begin = var_2618_begin_0, end = var_2618_end_0, end_mask = var_2618_end_mask_0, x = x_145_cast_fp16)[name = string("op_2618_cast_fp16")];
            tensor<fp16, [1, 9, 46081]> magnitude_1_cast_fp16 = exp(x = var_2618_cast_fp16)[name = string("magnitude_1_cast_fp16")];
            tensor<int32, [3]> var_2634_begin_0 = const()[name = string("op_2634_begin_0"), val = tensor<int32, [3]>([0, 9, 0])];
            tensor<int32, [3]> var_2634_end_0 = const()[name = string("op_2634_end_0"), val = tensor<int32, [3]>([1, 18, 46081])];
            tensor<bool, [3]> var_2634_end_mask_0 = const()[name = string("op_2634_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 9, 46081]> var_2634_cast_fp16 = slice_by_index(begin = var_2634_begin_0, end = var_2634_end_0, end_mask = var_2634_end_mask_0, x = x_145_cast_fp16)[name = string("op_2634_cast_fp16")];
            tensor<fp16, [1, 9, 46081]> phase_cast_fp16 = sin(x = var_2634_cast_fp16)[name = string("phase_cast_fp16")];
            fp16 const_11_to_fp16 = const()[name = string("const_11_to_fp16"), val = fp16(-inf)];
            fp16 var_2648_to_fp16 = const()[name = string("op_2648_to_fp16"), val = fp16(0x1.9p+6)];
            tensor<fp16, [1, 9, 46081]> clip_0_cast_fp16 = clip(alpha = const_11_to_fp16, beta = var_2648_to_fp16, x = magnitude_1_cast_fp16)[name = string("clip_0_cast_fp16")];
            tensor<fp16, [1, 9, 46081]> var_2650_cast_fp16 = cos(x = phase_cast_fp16)[name = string("op_2650_cast_fp16")];
            tensor<fp16, [1, 9, 46081]> var_2651_cast_fp16 = mul(x = clip_0_cast_fp16, y = var_2650_cast_fp16)[name = string("op_2651_cast_fp16")];
            tensor<fp16, [1, 9, 46081]> var_2652_cast_fp16 = sin(x = phase_cast_fp16)[name = string("op_2652_cast_fp16")];
            tensor<fp16, [1, 9, 46081]> var_2653_cast_fp16 = mul(x = clip_0_cast_fp16, y = var_2652_cast_fp16)[name = string("op_2653_cast_fp16")];
            tensor<int32, [3]> transpose_0_perm_0 = const()[name = string("transpose_0_perm_0"), val = tensor<int32, [3]>([0, 2, 1])];
            tensor<int32, [2]> concat_3 = const()[name = string("concat_3"), val = tensor<int32, [2]>([46081, 9])];
            tensor<fp16, [1, 46081, 9]> transpose_0_cast_fp16 = transpose(perm = transpose_0_perm_0, x = var_2651_cast_fp16)[name = string("transpose_7")];
            tensor<fp16, [46081, 9]> reshape_0_cast_fp16 = reshape(shape = concat_3, x = transpose_0_cast_fp16)[name = string("reshape_0_cast_fp16")];
            bool matmul_0_transpose_x_0 = const()[name = string("matmul_0_transpose_x_0"), val = bool(false)];
            bool matmul_0_transpose_y_0 = const()[name = string("matmul_0_transpose_y_0"), val = bool(false)];
            tensor<fp16, [9, 16]> var_2707_to_fp16 = const()[name = string("op_2707_to_fp16"), val = tensor<fp16, [9, 16]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41655616)))];
            tensor<fp16, [46081, 16]> matmul_0_cast_fp16 = matmul(transpose_x = matmul_0_transpose_x_0, transpose_y = matmul_0_transpose_y_0, x = reshape_0_cast_fp16, y = var_2707_to_fp16)[name = string("matmul_0_cast_fp16")];
            tensor<int32, [3]> concat_7 = const()[name = string("concat_7"), val = tensor<int32, [3]>([1, 46081, 16])];
            tensor<fp16, [1, 46081, 16]> reshape_2_cast_fp16 = reshape(shape = concat_7, x = matmul_0_cast_fp16)[name = string("reshape_2_cast_fp16")];
            tensor<int32, [3]> transpose_2_perm_0 = const()[name = string("transpose_2_perm_0"), val = tensor<int32, [3]>([0, 2, 1])];
            tensor<int32, [2]> concat_11 = const()[name = string("concat_11"), val = tensor<int32, [2]>([46081, 9])];
            tensor<fp16, [1, 46081, 9]> transpose_2_cast_fp16 = transpose(perm = transpose_2_perm_0, x = var_2653_cast_fp16)[name = string("transpose_6")];
            tensor<fp16, [46081, 9]> reshape_3_cast_fp16 = reshape(shape = concat_11, x = transpose_2_cast_fp16)[name = string("reshape_3_cast_fp16")];
            bool matmul_1_transpose_x_0 = const()[name = string("matmul_1_transpose_x_0"), val = bool(false)];
            bool matmul_1_transpose_y_0 = const()[name = string("matmul_1_transpose_y_0"), val = bool(false)];
            tensor<fp16, [9, 16]> var_2714_to_fp16 = const()[name = string("op_2714_to_fp16"), val = tensor<fp16, [9, 16]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41656000)))];
            tensor<fp16, [46081, 16]> matmul_1_cast_fp16 = matmul(transpose_x = matmul_1_transpose_x_0, transpose_y = matmul_1_transpose_y_0, x = reshape_3_cast_fp16, y = var_2714_to_fp16)[name = string("matmul_1_cast_fp16")];
            tensor<int32, [3]> concat_15 = const()[name = string("concat_15"), val = tensor<int32, [3]>([1, 46081, 16])];
            tensor<fp16, [1, 46081, 16]> reshape_5_cast_fp16 = reshape(shape = concat_15, x = matmul_1_cast_fp16)[name = string("reshape_5_cast_fp16")];
            tensor<fp16, [1, 46081, 16]> var_2720_cast_fp16 = sub(x = reshape_2_cast_fp16, y = reshape_5_cast_fp16)[name = string("op_2720_cast_fp16")];
            fp16 _inversed_2722_y_0_to_fp16 = const()[name = string("_inversed_2722_y_0_to_fp16"), val = fp16(0x1p-4)];
            tensor<fp16, [1, 46081, 16]> _inversed_2722_cast_fp16 = mul(x = var_2720_cast_fp16, y = _inversed_2722_y_0_to_fp16)[name = string("_inversed_2722_cast_fp16")];
            tensor<fp16, [1, 1, 16]> const_25_to_fp16 = const()[name = string("const_25_to_fp16"), val = tensor<fp16, [1, 1, 16]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41656384)))];
            tensor<fp16, [1, 46081, 16]> frames_cast_fp16 = mul(x = _inversed_2722_cast_fp16, y = const_25_to_fp16)[name = string("frames_cast_fp16")];
            string ola_pad_type_0 = const()[name = string("ola_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> ola_strides_0 = const()[name = string("ola_strides_0"), val = tensor<int32, [1]>([4])];
            tensor<int32, [2]> ola_pad_0 = const()[name = string("ola_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> ola_dilations_0 = const()[name = string("ola_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 ola_groups_0 = const()[name = string("ola_groups_0"), val = int32(1)];
            tensor<int32, [3]> ola_has_output_shape_output_shape_0 = const()[name = string("ola_has_output_shape_output_shape_0"), val = tensor<int32, [3]>([1, 1, 184336])];
            tensor<int32, [3]> transpose_4_perm_0 = const()[name = string("transpose_4_perm_0"), val = tensor<int32, [3]>([0, 2, 1])];
            tensor<fp16, [16, 1, 16]> eye_to_fp16 = const()[name = string("eye_to_fp16"), val = tensor<fp16, [16, 1, 16]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41656512)))];
            tensor<fp16, [1, 16, 46081]> transpose_4_cast_fp16 = transpose(perm = transpose_4_perm_0, x = frames_cast_fp16)[name = string("transpose_5")];
            tensor<fp16, [1, 1, 184336]> ola_has_output_shape_cast_fp16 = conv_transpose(dilations = ola_dilations_0, groups = ola_groups_0, output_shape = ola_has_output_shape_output_shape_0, pad = ola_pad_0, pad_type = ola_pad_type_0, strides = ola_strides_0, weight = eye_to_fp16, x = transpose_4_cast_fp16)[name = string("ola_has_output_shape_cast_fp16")];
            string norm_pad_type_0 = const()[name = string("norm_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> norm_strides_0 = const()[name = string("norm_strides_0"), val = tensor<int32, [1]>([4])];
            tensor<int32, [2]> norm_pad_0 = const()[name = string("norm_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> norm_dilations_0 = const()[name = string("norm_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 norm_groups_0 = const()[name = string("norm_groups_0"), val = int32(1)];
            tensor<int32, [3]> norm_has_output_shape_output_shape_0 = const()[name = string("norm_has_output_shape_output_shape_0"), val = tensor<int32, [3]>([1, 1, 184336])];
            tensor<fp16, [1, 16, 46081]> win_sq_to_fp16 = const()[name = string("win_sq_to_fp16"), val = tensor<fp16, [1, 16, 46081]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(41657088)))];
            tensor<fp16, [1]> const_26_to_fp16 = const()[name = string("const_26_to_fp16"), val = tensor<fp16, [1]>([0x1p-24])];
            tensor<fp16, [1, 1, 184336]> var_2790_cast_fp16 = conv_transpose(bias = const_26_to_fp16, dilations = norm_dilations_0, groups = norm_groups_0, output_shape = norm_has_output_shape_output_shape_0, pad = norm_pad_0, pad_type = norm_pad_type_0, strides = norm_strides_0, weight = eye_to_fp16, x = win_sq_to_fp16)[name = string("op_2790_cast_fp16")];
            tensor<fp16, [1, 1, 184336]> var_2791_cast_fp16 = real_div(x = ola_has_output_shape_cast_fp16, y = var_2790_cast_fp16)[name = string("op_2791_cast_fp16")];
            tensor<int32, [1]> y_axes_0 = const()[name = string("y_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [1, 184336]> y_cast_fp16 = squeeze(axes = y_axes_0, x = var_2791_cast_fp16)[name = string("y_cast_fp16")];
            tensor<int32, [2]> x_begin_0 = const()[name = string("x_begin_0"), val = tensor<int32, [2]>([0, 8])];
            tensor<int32, [2]> x_end_0 = const()[name = string("x_end_0"), val = tensor<int32, [2]>([1, 184328])];
            tensor<bool, [2]> x_end_mask_0 = const()[name = string("x_end_mask_0"), val = tensor<bool, [2]>([true, false])];
            tensor<fp16, [1, 184320]> x_cast_fp16 = slice_by_index(begin = x_begin_0, end = x_end_0, end_mask = x_end_mask_0, x = y_cast_fp16)[name = string("x_cast_fp16")];
            fp16 var_2810_to_fp16 = const()[name = string("op_2810_to_fp16"), val = fp16(-0x1.fbp-1)];
            fp16 var_2811_to_fp16 = const()[name = string("op_2811_to_fp16"), val = fp16(0x1.fbp-1)];
            tensor<fp16, [1, 184320]> clip_2_cast_fp16 = clip(alpha = var_2810_to_fp16, beta = var_2811_to_fp16, x = x_cast_fp16)[name = string("clip_2_cast_fp16")];
            tensor<int32, [2]> var_2825_begin_0 = const()[name = string("op_2825_begin_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [2]> var_2825_end_0 = const()[name = string("op_2825_end_0"), val = tensor<int32, [2]>([1, 960])];
            tensor<bool, [2]> var_2825_end_mask_0 = const()[name = string("op_2825_end_mask_0"), val = tensor<bool, [2]>([true, false])];
            tensor<fp16, [1, 960]> var_2825_cast_fp16 = slice_by_index(begin = var_2825_begin_0, end = var_2825_end_0, end_mask = var_2825_end_mask_0, x = clip_2_cast_fp16)[name = string("op_2825_cast_fp16")];
            tensor<fp16, [1, 960]> var_2834_to_fp16 = const()[name = string("op_2834_to_fp16"), val = tensor<fp16, [1, 960]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(43131776)))];
            tensor<fp16, [1, 960]> faded_cast_fp16 = mul(x = var_2825_cast_fp16, y = var_2834_to_fp16)[name = string("faded_cast_fp16")];
            tensor<int32, [2]> var_2844_begin_0 = const()[name = string("op_2844_begin_0"), val = tensor<int32, [2]>([0, 960])];
            tensor<int32, [2]> var_2844_end_0 = const()[name = string("op_2844_end_0"), val = tensor<int32, [2]>([1, 184320])];
            tensor<bool, [2]> var_2844_end_mask_0 = const()[name = string("op_2844_end_mask_0"), val = tensor<bool, [2]>([true, true])];
            tensor<fp16, [1, 183360]> var_2844_cast_fp16 = slice_by_index(begin = var_2844_begin_0, end = var_2844_end_0, end_mask = var_2844_end_mask_0, x = clip_2_cast_fp16)[name = string("op_2844_cast_fp16")];
            int32 var_2846 = const()[name = string("op_2846"), val = int32(1)];
            bool var_2847_interleave_0 = const()[name = string("op_2847_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 184320]> audio = concat(axis = var_2846, interleave = var_2847_interleave_0, values = (faded_cast_fp16, var_2844_cast_fp16))[name = string("op_2847_cast_fp16")];
        } -> (audio);
}