program(1.3)
[buildInfo = dict<string, string>({{"coremlc-component-MIL", "3510.2.1"}, {"coremlc-version", "3500.32.1"}, {"coremltools-component-torch", "2.11.0"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "9.0"}})]
{
    func main<ios18>(tensor<fp32, [1, 64, 6]> cache_0, tensor<fp32, [1, 2048, 1]> cache_1, tensor<fp32, [1, 64, 78]> cache_10, tensor<fp32, [1, 64, 1]> cache_11, tensor<fp32, [1, 32, 78]> cache_12, tensor<fp32, [1, 32, 6]> cache_13, tensor<fp32, [1, 1024, 78]> cache_2, tensor<fp32, [1, 1024, 1]> cache_3, tensor<fp32, [1, 512, 78]> cache_4, tensor<fp32, [1, 512, 1]> cache_5, tensor<fp32, [1, 256, 78]> cache_6, tensor<fp32, [1, 256, 1]> cache_7, tensor<fp32, [1, 128, 78]> cache_8, tensor<fp32, [1, 128, 1]> cache_9, tensor<fp32, [1, 64, ?]> z) [FlexibleShapeInformation = tuple<tuple<string, dict<string, tensor<int32, [?]>>>, tuple<string, dict<string, list<tensor<int32, [2]>, ?>>>>((("DefaultShapes", {{"z", [1, 64, 4]}}), ("RangeDims", {{"z", [[1, 1], [64, 64], [1, 16]]}})))] {
            int32 var_1119 = const()[name = string("op_1119"), val = int32(-1)];
            bool input_1_interleave_0 = const()[name = string("input_1_interleave_0"), val = bool(false)];
            string cache_0_to_fp16_dtype_0 = const()[name = string("cache_0_to_fp16_dtype_0"), val = string("fp16")];
            string z_to_fp16_dtype_0 = const()[name = string("z_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 64, ?]> z_to_fp16 = cast(dtype = z_to_fp16_dtype_0, x = z)[name = string("cast_28")];
            tensor<fp16, [1, 64, 6]> cache_0_to_fp16 = cast(dtype = cache_0_to_fp16_dtype_0, x = cache_0)[name = string("cast_29")];
            tensor<fp16, [1, 64, ?]> input_1_cast_fp16 = concat(axis = var_1119, interleave = input_1_interleave_0, values = (cache_0_to_fp16, z_to_fp16))[name = string("input_1_cast_fp16")];
            string input_3_pad_type_0 = const()[name = string("input_3_pad_type_0"), val = string("valid")];
            int32 input_3_groups_0 = const()[name = string("input_3_groups_0"), val = int32(64)];
            tensor<int32, [1]> input_3_strides_0 = const()[name = string("input_3_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> input_3_pad_0 = const()[name = string("input_3_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> input_3_dilations_0 = const()[name = string("input_3_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [64, 1, 7]> vae_decoder_model_0_weight_to_fp16 = const()[name = string("vae_decoder_model_0_weight_to_fp16"), val = tensor<fp16, [64, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(64)))];
            tensor<fp16, [64]> vae_decoder_model_0_bias_to_fp16 = const()[name = string("vae_decoder_model_0_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(1024)))];
            tensor<fp16, [1, 64, ?]> input_3_cast_fp16 = conv(bias = vae_decoder_model_0_bias_to_fp16, dilations = input_3_dilations_0, groups = input_3_groups_0, pad = input_3_pad_0, pad_type = input_3_pad_type_0, strides = input_3_strides_0, weight = vae_decoder_model_0_weight_to_fp16, x = input_1_cast_fp16)[name = string("input_3_cast_fp16")];
            tensor<int32, [3]> var_1140_begin_0 = const()[name = string("op_1140_begin_0"), val = tensor<int32, [3]>([0, 0, -6])];
            tensor<int32, [3]> var_1140_end_0 = const()[name = string("op_1140_end_0"), val = tensor<int32, [3]>([1, 64, 0])];
            tensor<bool, [3]> var_1140_end_mask_0 = const()[name = string("op_1140_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 64, ?]> var_1140_cast_fp16 = slice_by_index(begin = var_1140_begin_0, end = var_1140_end_0, end_mask = var_1140_end_mask_0, x = input_1_cast_fp16)[name = string("op_1140_cast_fp16")];
            string var_1140_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_1140_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            string x_3_pad_type_0 = const()[name = string("x_3_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> x_3_strides_0 = const()[name = string("x_3_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_3_pad_0 = const()[name = string("x_3_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_3_dilations_0 = const()[name = string("x_3_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 x_3_groups_0 = const()[name = string("x_3_groups_0"), val = int32(1)];
            tensor<fp16, [2048, 64, 1]> var_1156_weight_0_to_fp16 = const()[name = string("op_1156_weight_0_to_fp16"), val = tensor<fp16, [2048, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(1216)))];
            tensor<fp16, [2048]> const_0_to_fp16 = const()[name = string("const_0_to_fp16"), val = tensor<fp16, [2048]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(263424)))];
            tensor<fp16, [1, 2048, ?]> x_5_cast_fp16 = conv(bias = const_0_to_fp16, dilations = x_3_dilations_0, groups = x_3_groups_0, pad = x_3_pad_0, pad_type = x_3_pad_type_0, strides = x_3_strides_0, weight = var_1156_weight_0_to_fp16, x = input_3_cast_fp16)[name = string("x_5_cast_fp16")];
            tensor<fp16, [1, 2048, 1]> vae_decoder_model_2_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_2_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 2048, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(267584)))];
            tensor<fp16, [1, 2048, ?]> var_1165_cast_fp16 = mul(x = vae_decoder_model_2_block_0_alpha_to_fp16, y = x_5_cast_fp16)[name = string("op_1165_cast_fp16")];
            tensor<fp16, [1, 2048, ?]> var_1166_cast_fp16 = sin(x = var_1165_cast_fp16)[name = string("op_1166_cast_fp16")];
            fp16 var_1159_promoted_to_fp16 = const()[name = string("op_1159_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 2048, ?]> var_1167_cast_fp16 = pow(x = var_1166_cast_fp16, y = var_1159_promoted_to_fp16)[name = string("op_1167_cast_fp16")];
            tensor<fp16, [1, 2048, 1]> var_1164_to_fp16 = const()[name = string("op_1164_to_fp16"), val = tensor<fp16, [1, 2048, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(271744)))];
            tensor<fp16, [1, 2048, ?]> var_1168_cast_fp16 = mul(x = var_1164_to_fp16, y = var_1167_cast_fp16)[name = string("op_1168_cast_fp16")];
            tensor<fp16, [1, 2048, ?]> x_7_cast_fp16 = add(x = x_5_cast_fp16, y = var_1168_cast_fp16)[name = string("x_7_cast_fp16")];
            int32 var_1171 = const()[name = string("op_1171"), val = int32(-1)];
            bool input_5_interleave_0 = const()[name = string("input_5_interleave_0"), val = bool(false)];
            string cache_1_to_fp16_dtype_0 = const()[name = string("cache_1_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 2048, 1]> cache_1_to_fp16 = cast(dtype = cache_1_to_fp16_dtype_0, x = cache_1)[name = string("cast_26")];
            tensor<fp16, [1, 2048, ?]> input_5_cast_fp16 = concat(axis = var_1171, interleave = input_5_interleave_0, values = (cache_1_to_fp16, x_7_cast_fp16))[name = string("input_5_cast_fp16")];
            string out_1_pad_type_0 = const()[name = string("out_1_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> out_1_strides_0 = const()[name = string("out_1_strides_0"), val = tensor<int32, [1]>([8])];
            tensor<int32, [2]> out_1_pad_0 = const()[name = string("out_1_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> out_1_dilations_0 = const()[name = string("out_1_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 out_1_groups_0 = const()[name = string("out_1_groups_0"), val = int32(1)];
            tensor<fp16, [2048, 1024, 16]> vae_decoder_model_2_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_2_block_1_weight_to_fp16"), val = tensor<fp16, [2048, 1024, 16]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(275904)))];
            tensor<fp16, [1024]> vae_decoder_model_2_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_2_block_1_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(67384832)))];
            tensor<fp16, [1, 1024, ?]> out_1_cast_fp16 = conv_transpose(bias = vae_decoder_model_2_block_1_bias_to_fp16, dilations = out_1_dilations_0, groups = out_1_groups_0, pad = out_1_pad_0, pad_type = out_1_pad_type_0, strides = out_1_strides_0, weight = vae_decoder_model_2_block_1_weight_to_fp16, x = input_5_cast_fp16)[name = string("out_1_cast_fp16")];
            tensor<int32, [3]> x_9_begin_0 = const()[name = string("x_9_begin_0"), val = tensor<int32, [3]>([0, 0, 8])];
            tensor<int32, [3]> x_9_end_0 = const()[name = string("x_9_end_0"), val = tensor<int32, [3]>([1, 1024, -8])];
            tensor<bool, [3]> x_9_end_mask_0 = const()[name = string("x_9_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [1, 1024, ?]> x_9_cast_fp16 = slice_by_index(begin = x_9_begin_0, end = x_9_end_0, end_mask = x_9_end_mask_0, x = out_1_cast_fp16)[name = string("x_9_cast_fp16")];
            tensor<int32, [3]> var_1197_begin_0 = const()[name = string("op_1197_begin_0"), val = tensor<int32, [3]>([0, 0, -1])];
            tensor<int32, [3]> var_1197_end_0 = const()[name = string("op_1197_end_0"), val = tensor<int32, [3]>([1, 2048, 0])];
            tensor<bool, [3]> var_1197_end_mask_0 = const()[name = string("op_1197_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 2048, 1]> var_1197_cast_fp16 = slice_by_index(begin = var_1197_begin_0, end = var_1197_end_0, end_mask = var_1197_end_mask_0, x = x_7_cast_fp16)[name = string("op_1197_cast_fp16")];
            string var_1197_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_1197_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            tensor<int32, [3]> var_1201 = const()[name = string("op_1201"), val = tensor<int32, [3]>([6, 18, 54])];
            int32 var_1203_axis_0 = const()[name = string("op_1203_axis_0"), val = int32(-1)];
            string cache_2_to_fp16_dtype_0 = const()[name = string("cache_2_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 1024, 78]> cache_2_to_fp16 = cast(dtype = cache_2_to_fp16_dtype_0, x = cache_2)[name = string("cast_24")];
            tensor<fp16, [1, 1024, 6]> var_1203_cast_fp16_0, tensor<fp16, [1, 1024, 18]> var_1203_cast_fp16_1, tensor<fp16, [1, 1024, 54]> var_1203_cast_fp16_2 = split(axis = var_1203_axis_0, split_sizes = var_1201, x = cache_2_to_fp16)[name = string("op_1203_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> vae_decoder_model_2_block_2_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_2_block_2_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(67386944)))];
            tensor<fp16, [1, 1024, ?]> var_1213_cast_fp16 = mul(x = vae_decoder_model_2_block_2_block_0_alpha_to_fp16, y = x_9_cast_fp16)[name = string("op_1213_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> var_1214_cast_fp16 = sin(x = var_1213_cast_fp16)[name = string("op_1214_cast_fp16")];
            fp16 var_1207_promoted_to_fp16 = const()[name = string("op_1207_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 1024, ?]> var_1215_cast_fp16 = pow(x = var_1214_cast_fp16, y = var_1207_promoted_to_fp16)[name = string("op_1215_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> var_1212_to_fp16 = const()[name = string("op_1212_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(67389056)))];
            tensor<fp16, [1, 1024, ?]> var_1216_cast_fp16 = mul(x = var_1212_to_fp16, y = var_1215_cast_fp16)[name = string("op_1216_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> x_11_cast_fp16 = add(x = x_9_cast_fp16, y = var_1216_cast_fp16)[name = string("x_11_cast_fp16")];
            int32 var_1219 = const()[name = string("op_1219"), val = int32(-1)];
            bool input_7_interleave_0 = const()[name = string("input_7_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 1024, ?]> input_7_cast_fp16 = concat(axis = var_1219, interleave = input_7_interleave_0, values = (var_1203_cast_fp16_0, x_11_cast_fp16))[name = string("input_7_cast_fp16")];
            string x_13_pad_type_0 = const()[name = string("x_13_pad_type_0"), val = string("valid")];
            int32 x_13_groups_0 = const()[name = string("x_13_groups_0"), val = int32(1024)];
            tensor<int32, [1]> x_13_strides_0 = const()[name = string("x_13_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_13_pad_0 = const()[name = string("x_13_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_13_dilations_0 = const()[name = string("x_13_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [1024, 1, 7]> vae_decoder_model_2_block_2_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_2_block_2_block_1_weight_to_fp16"), val = tensor<fp16, [1024, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(67391168)))];
            tensor<fp16, [1024]> vae_decoder_model_2_block_2_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_2_block_2_block_1_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(67405568)))];
            tensor<fp16, [1, 1024, ?]> x_13_cast_fp16 = conv(bias = vae_decoder_model_2_block_2_block_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 = vae_decoder_model_2_block_2_block_1_weight_to_fp16, x = input_7_cast_fp16)[name = string("x_13_cast_fp16")];
            tensor<int32, [3]> var_1240_begin_0 = const()[name = string("op_1240_begin_0"), val = tensor<int32, [3]>([0, 0, -6])];
            tensor<int32, [3]> var_1240_end_0 = const()[name = string("op_1240_end_0"), val = tensor<int32, [3]>([1, 1024, 0])];
            tensor<bool, [3]> var_1240_end_mask_0 = const()[name = string("op_1240_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 1024, ?]> var_1240_cast_fp16 = slice_by_index(begin = var_1240_begin_0, end = var_1240_end_0, end_mask = var_1240_end_mask_0, x = input_7_cast_fp16)[name = string("op_1240_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> vae_decoder_model_2_block_2_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_2_block_2_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(67407680)))];
            tensor<fp16, [1, 1024, ?]> var_1247_cast_fp16 = mul(x = vae_decoder_model_2_block_2_block_2_alpha_to_fp16, y = x_13_cast_fp16)[name = string("op_1247_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> var_1248_cast_fp16 = sin(x = var_1247_cast_fp16)[name = string("op_1248_cast_fp16")];
            fp16 var_1241_promoted_to_fp16 = const()[name = string("op_1241_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 1024, ?]> var_1249_cast_fp16 = pow(x = var_1248_cast_fp16, y = var_1241_promoted_to_fp16)[name = string("op_1249_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> var_1246_to_fp16 = const()[name = string("op_1246_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(67409792)))];
            tensor<fp16, [1, 1024, ?]> var_1250_cast_fp16 = mul(x = var_1246_to_fp16, y = var_1249_cast_fp16)[name = string("op_1250_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> input_9_cast_fp16 = add(x = x_13_cast_fp16, y = var_1250_cast_fp16)[name = string("input_9_cast_fp16")];
            string y_1_pad_type_0 = const()[name = string("y_1_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_1_strides_0 = const()[name = string("y_1_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_1_pad_0 = const()[name = string("y_1_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_1_dilations_0 = const()[name = string("y_1_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_1_groups_0 = const()[name = string("y_1_groups_0"), val = int32(1)];
            tensor<fp16, [1024, 1024, 1]> vae_decoder_model_2_block_2_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_2_block_2_block_3_weight_to_fp16"), val = tensor<fp16, [1024, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(67411904)))];
            tensor<fp16, [1024]> vae_decoder_model_2_block_2_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_2_block_2_block_3_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69509120)))];
            tensor<fp16, [1, 1024, ?]> y_1_cast_fp16 = conv(bias = vae_decoder_model_2_block_2_block_3_bias_to_fp16, dilations = y_1_dilations_0, groups = y_1_groups_0, pad = y_1_pad_0, pad_type = y_1_pad_type_0, strides = y_1_strides_0, weight = vae_decoder_model_2_block_2_block_3_weight_to_fp16, x = input_9_cast_fp16)[name = string("y_1_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> x_15_cast_fp16 = add(x = x_9_cast_fp16, y = y_1_cast_fp16)[name = string("x_15_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> vae_decoder_model_2_block_3_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_2_block_3_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69511232)))];
            tensor<fp16, [1, 1024, ?]> var_1275_cast_fp16 = mul(x = vae_decoder_model_2_block_3_block_0_alpha_to_fp16, y = x_15_cast_fp16)[name = string("op_1275_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> var_1276_cast_fp16 = sin(x = var_1275_cast_fp16)[name = string("op_1276_cast_fp16")];
            fp16 var_1269_promoted_to_fp16 = const()[name = string("op_1269_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 1024, ?]> var_1277_cast_fp16 = pow(x = var_1276_cast_fp16, y = var_1269_promoted_to_fp16)[name = string("op_1277_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> var_1274_to_fp16 = const()[name = string("op_1274_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69513344)))];
            tensor<fp16, [1, 1024, ?]> var_1278_cast_fp16 = mul(x = var_1274_to_fp16, y = var_1277_cast_fp16)[name = string("op_1278_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> x_17_cast_fp16 = add(x = x_15_cast_fp16, y = var_1278_cast_fp16)[name = string("x_17_cast_fp16")];
            int32 var_1281 = const()[name = string("op_1281"), val = int32(-1)];
            bool input_11_interleave_0 = const()[name = string("input_11_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 1024, ?]> input_11_cast_fp16 = concat(axis = var_1281, interleave = input_11_interleave_0, values = (var_1203_cast_fp16_1, x_17_cast_fp16))[name = string("input_11_cast_fp16")];
            string x_19_pad_type_0 = const()[name = string("x_19_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> x_19_dilations_0 = const()[name = string("x_19_dilations_0"), val = tensor<int32, [1]>([3])];
            int32 x_19_groups_0 = const()[name = string("x_19_groups_0"), val = int32(1024)];
            tensor<int32, [1]> x_19_strides_0 = const()[name = string("x_19_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_19_pad_0 = const()[name = string("x_19_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<fp16, [1024, 1, 7]> vae_decoder_model_2_block_3_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_2_block_3_block_1_weight_to_fp16"), val = tensor<fp16, [1024, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69515456)))];
            tensor<fp16, [1024]> vae_decoder_model_2_block_3_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_2_block_3_block_1_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69529856)))];
            tensor<fp16, [1, 1024, ?]> x_19_cast_fp16 = conv(bias = vae_decoder_model_2_block_3_block_1_bias_to_fp16, dilations = x_19_dilations_0, groups = x_19_groups_0, pad = x_19_pad_0, pad_type = x_19_pad_type_0, strides = x_19_strides_0, weight = vae_decoder_model_2_block_3_block_1_weight_to_fp16, x = input_11_cast_fp16)[name = string("x_19_cast_fp16")];
            tensor<int32, [3]> var_1302_begin_0 = const()[name = string("op_1302_begin_0"), val = tensor<int32, [3]>([0, 0, -18])];
            tensor<int32, [3]> var_1302_end_0 = const()[name = string("op_1302_end_0"), val = tensor<int32, [3]>([1, 1024, 0])];
            tensor<bool, [3]> var_1302_end_mask_0 = const()[name = string("op_1302_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 1024, ?]> var_1302_cast_fp16 = slice_by_index(begin = var_1302_begin_0, end = var_1302_end_0, end_mask = var_1302_end_mask_0, x = input_11_cast_fp16)[name = string("op_1302_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> vae_decoder_model_2_block_3_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_2_block_3_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69531968)))];
            tensor<fp16, [1, 1024, ?]> var_1309_cast_fp16 = mul(x = vae_decoder_model_2_block_3_block_2_alpha_to_fp16, y = x_19_cast_fp16)[name = string("op_1309_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> var_1310_cast_fp16 = sin(x = var_1309_cast_fp16)[name = string("op_1310_cast_fp16")];
            fp16 var_1303_promoted_to_fp16 = const()[name = string("op_1303_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 1024, ?]> var_1311_cast_fp16 = pow(x = var_1310_cast_fp16, y = var_1303_promoted_to_fp16)[name = string("op_1311_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> var_1308_to_fp16 = const()[name = string("op_1308_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69534080)))];
            tensor<fp16, [1, 1024, ?]> var_1312_cast_fp16 = mul(x = var_1308_to_fp16, y = var_1311_cast_fp16)[name = string("op_1312_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> input_13_cast_fp16 = add(x = x_19_cast_fp16, y = var_1312_cast_fp16)[name = string("input_13_cast_fp16")];
            string y_3_pad_type_0 = const()[name = string("y_3_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_3_strides_0 = const()[name = string("y_3_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_3_pad_0 = const()[name = string("y_3_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_3_dilations_0 = const()[name = string("y_3_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_3_groups_0 = const()[name = string("y_3_groups_0"), val = int32(1)];
            tensor<fp16, [1024, 1024, 1]> vae_decoder_model_2_block_3_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_2_block_3_block_3_weight_to_fp16"), val = tensor<fp16, [1024, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69536192)))];
            tensor<fp16, [1024]> vae_decoder_model_2_block_3_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_2_block_3_block_3_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71633408)))];
            tensor<fp16, [1, 1024, ?]> y_3_cast_fp16 = conv(bias = vae_decoder_model_2_block_3_block_3_bias_to_fp16, dilations = y_3_dilations_0, groups = y_3_groups_0, pad = y_3_pad_0, pad_type = y_3_pad_type_0, strides = y_3_strides_0, weight = vae_decoder_model_2_block_3_block_3_weight_to_fp16, x = input_13_cast_fp16)[name = string("y_3_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> x_21_cast_fp16 = add(x = x_15_cast_fp16, y = y_3_cast_fp16)[name = string("x_21_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> vae_decoder_model_2_block_4_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_2_block_4_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71635520)))];
            tensor<fp16, [1, 1024, ?]> var_1337_cast_fp16 = mul(x = vae_decoder_model_2_block_4_block_0_alpha_to_fp16, y = x_21_cast_fp16)[name = string("op_1337_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> var_1338_cast_fp16 = sin(x = var_1337_cast_fp16)[name = string("op_1338_cast_fp16")];
            fp16 var_1331_promoted_to_fp16 = const()[name = string("op_1331_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 1024, ?]> var_1339_cast_fp16 = pow(x = var_1338_cast_fp16, y = var_1331_promoted_to_fp16)[name = string("op_1339_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> var_1336_to_fp16 = const()[name = string("op_1336_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71637632)))];
            tensor<fp16, [1, 1024, ?]> var_1340_cast_fp16 = mul(x = var_1336_to_fp16, y = var_1339_cast_fp16)[name = string("op_1340_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> x_23_cast_fp16 = add(x = x_21_cast_fp16, y = var_1340_cast_fp16)[name = string("x_23_cast_fp16")];
            int32 var_1343 = const()[name = string("op_1343"), val = int32(-1)];
            bool input_15_interleave_0 = const()[name = string("input_15_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 1024, ?]> input_15_cast_fp16 = concat(axis = var_1343, interleave = input_15_interleave_0, values = (var_1203_cast_fp16_2, x_23_cast_fp16))[name = string("input_15_cast_fp16")];
            string x_25_pad_type_0 = const()[name = string("x_25_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> x_25_dilations_0 = const()[name = string("x_25_dilations_0"), val = tensor<int32, [1]>([9])];
            int32 x_25_groups_0 = const()[name = string("x_25_groups_0"), val = int32(1024)];
            tensor<int32, [1]> x_25_strides_0 = const()[name = string("x_25_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_25_pad_0 = const()[name = string("x_25_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<fp16, [1024, 1, 7]> vae_decoder_model_2_block_4_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_2_block_4_block_1_weight_to_fp16"), val = tensor<fp16, [1024, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71639744)))];
            tensor<fp16, [1024]> vae_decoder_model_2_block_4_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_2_block_4_block_1_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71654144)))];
            tensor<fp16, [1, 1024, ?]> x_25_cast_fp16 = conv(bias = vae_decoder_model_2_block_4_block_1_bias_to_fp16, dilations = x_25_dilations_0, groups = x_25_groups_0, pad = x_25_pad_0, pad_type = x_25_pad_type_0, strides = x_25_strides_0, weight = vae_decoder_model_2_block_4_block_1_weight_to_fp16, x = input_15_cast_fp16)[name = string("x_25_cast_fp16")];
            tensor<int32, [3]> new_sub_1_begin_0 = const()[name = string("new_sub_1_begin_0"), val = tensor<int32, [3]>([0, 0, -54])];
            tensor<int32, [3]> new_sub_1_end_0 = const()[name = string("new_sub_1_end_0"), val = tensor<int32, [3]>([1, 1024, 0])];
            tensor<bool, [3]> new_sub_1_end_mask_0 = const()[name = string("new_sub_1_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 1024, ?]> new_sub_1_cast_fp16 = slice_by_index(begin = new_sub_1_begin_0, end = new_sub_1_end_0, end_mask = new_sub_1_end_mask_0, x = input_15_cast_fp16)[name = string("new_sub_1_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> vae_decoder_model_2_block_4_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_2_block_4_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71656256)))];
            tensor<fp16, [1, 1024, ?]> var_1371_cast_fp16 = mul(x = vae_decoder_model_2_block_4_block_2_alpha_to_fp16, y = x_25_cast_fp16)[name = string("op_1371_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> var_1372_cast_fp16 = sin(x = var_1371_cast_fp16)[name = string("op_1372_cast_fp16")];
            fp16 var_1365_promoted_to_fp16 = const()[name = string("op_1365_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 1024, ?]> var_1373_cast_fp16 = pow(x = var_1372_cast_fp16, y = var_1365_promoted_to_fp16)[name = string("op_1373_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> var_1370_to_fp16 = const()[name = string("op_1370_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71658368)))];
            tensor<fp16, [1, 1024, ?]> var_1374_cast_fp16 = mul(x = var_1370_to_fp16, y = var_1373_cast_fp16)[name = string("op_1374_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> input_17_cast_fp16 = add(x = x_25_cast_fp16, y = var_1374_cast_fp16)[name = string("input_17_cast_fp16")];
            string y_5_pad_type_0 = const()[name = string("y_5_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_5_strides_0 = const()[name = string("y_5_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_5_pad_0 = const()[name = string("y_5_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_5_dilations_0 = const()[name = string("y_5_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_5_groups_0 = const()[name = string("y_5_groups_0"), val = int32(1)];
            tensor<fp16, [1024, 1024, 1]> vae_decoder_model_2_block_4_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_2_block_4_block_3_weight_to_fp16"), val = tensor<fp16, [1024, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71660480)))];
            tensor<fp16, [1024]> vae_decoder_model_2_block_4_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_2_block_4_block_3_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(73757696)))];
            tensor<fp16, [1, 1024, ?]> y_5_cast_fp16 = conv(bias = vae_decoder_model_2_block_4_block_3_bias_to_fp16, dilations = y_5_dilations_0, groups = y_5_groups_0, pad = y_5_pad_0, pad_type = y_5_pad_type_0, strides = y_5_strides_0, weight = vae_decoder_model_2_block_4_block_3_weight_to_fp16, x = input_17_cast_fp16)[name = string("y_5_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> x_27_cast_fp16 = add(x = x_21_cast_fp16, y = y_5_cast_fp16)[name = string("x_27_cast_fp16")];
            int32 var_1394 = const()[name = string("op_1394"), val = int32(-1)];
            bool var_1395_interleave_0 = const()[name = string("op_1395_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 1024, ?]> var_1395_cast_fp16 = concat(axis = var_1394, interleave = var_1395_interleave_0, values = (var_1240_cast_fp16, var_1302_cast_fp16, new_sub_1_cast_fp16))[name = string("op_1395_cast_fp16")];
            string var_1395_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_1395_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            tensor<fp16, [1, 1024, 1]> sr_scale_3_to_fp16 = const()[name = string("sr_scale_3_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(73759808)))];
            tensor<fp16, [1, 1024, ?]> var_1396_cast_fp16 = mul(x = x_27_cast_fp16, y = sr_scale_3_to_fp16)[name = string("op_1396_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> sr_bias_3_to_fp16 = const()[name = string("sr_bias_3_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(73761920)))];
            tensor<fp16, [1, 1024, ?]> x_29_cast_fp16 = add(x = var_1396_cast_fp16, y = sr_bias_3_to_fp16)[name = string("x_29_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> vae_decoder_model_3_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_3_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(73764032)))];
            tensor<fp16, [1, 1024, ?]> var_1405_cast_fp16 = mul(x = vae_decoder_model_3_block_0_alpha_to_fp16, y = x_29_cast_fp16)[name = string("op_1405_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> var_1406_cast_fp16 = sin(x = var_1405_cast_fp16)[name = string("op_1406_cast_fp16")];
            fp16 var_1399_promoted_to_fp16 = const()[name = string("op_1399_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 1024, ?]> var_1407_cast_fp16 = pow(x = var_1406_cast_fp16, y = var_1399_promoted_to_fp16)[name = string("op_1407_cast_fp16")];
            tensor<fp16, [1, 1024, 1]> var_1404_to_fp16 = const()[name = string("op_1404_to_fp16"), val = tensor<fp16, [1, 1024, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(73766144)))];
            tensor<fp16, [1, 1024, ?]> var_1408_cast_fp16 = mul(x = var_1404_to_fp16, y = var_1407_cast_fp16)[name = string("op_1408_cast_fp16")];
            tensor<fp16, [1, 1024, ?]> x_31_cast_fp16 = add(x = x_29_cast_fp16, y = var_1408_cast_fp16)[name = string("x_31_cast_fp16")];
            int32 var_1411 = const()[name = string("op_1411"), val = int32(-1)];
            bool input_19_interleave_0 = const()[name = string("input_19_interleave_0"), val = bool(false)];
            string cache_3_to_fp16_dtype_0 = const()[name = string("cache_3_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 1024, 1]> cache_3_to_fp16 = cast(dtype = cache_3_to_fp16_dtype_0, x = cache_3)[name = string("cast_22")];
            tensor<fp16, [1, 1024, ?]> input_19_cast_fp16 = concat(axis = var_1411, interleave = input_19_interleave_0, values = (cache_3_to_fp16, x_31_cast_fp16))[name = string("input_19_cast_fp16")];
            string out_3_pad_type_0 = const()[name = string("out_3_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> out_3_strides_0 = const()[name = string("out_3_strides_0"), val = tensor<int32, [1]>([6])];
            tensor<int32, [2]> out_3_pad_0 = const()[name = string("out_3_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> out_3_dilations_0 = const()[name = string("out_3_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 out_3_groups_0 = const()[name = string("out_3_groups_0"), val = int32(1)];
            tensor<fp16, [1024, 512, 12]> vae_decoder_model_3_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_3_block_1_weight_to_fp16"), val = tensor<fp16, [1024, 512, 12]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(73768256)))];
            tensor<fp16, [512]> vae_decoder_model_3_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_3_block_1_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86351232)))];
            tensor<fp16, [1, 512, ?]> out_3_cast_fp16 = conv_transpose(bias = vae_decoder_model_3_block_1_bias_to_fp16, dilations = out_3_dilations_0, groups = out_3_groups_0, pad = out_3_pad_0, pad_type = out_3_pad_type_0, strides = out_3_strides_0, weight = vae_decoder_model_3_block_1_weight_to_fp16, x = input_19_cast_fp16)[name = string("out_3_cast_fp16")];
            tensor<int32, [3]> x_33_begin_0 = const()[name = string("x_33_begin_0"), val = tensor<int32, [3]>([0, 0, 6])];
            tensor<int32, [3]> x_33_end_0 = const()[name = string("x_33_end_0"), val = tensor<int32, [3]>([1, 512, -6])];
            tensor<bool, [3]> x_33_end_mask_0 = const()[name = string("x_33_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [1, 512, ?]> x_33_cast_fp16 = slice_by_index(begin = x_33_begin_0, end = x_33_end_0, end_mask = x_33_end_mask_0, x = out_3_cast_fp16)[name = string("x_33_cast_fp16")];
            tensor<int32, [3]> var_1437_begin_0 = const()[name = string("op_1437_begin_0"), val = tensor<int32, [3]>([0, 0, -1])];
            tensor<int32, [3]> var_1437_end_0 = const()[name = string("op_1437_end_0"), val = tensor<int32, [3]>([1, 1024, 0])];
            tensor<bool, [3]> var_1437_end_mask_0 = const()[name = string("op_1437_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 1024, 1]> var_1437_cast_fp16 = slice_by_index(begin = var_1437_begin_0, end = var_1437_end_0, end_mask = var_1437_end_mask_0, x = x_31_cast_fp16)[name = string("op_1437_cast_fp16")];
            string var_1437_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_1437_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            tensor<int32, [3]> var_1441 = const()[name = string("op_1441"), val = tensor<int32, [3]>([6, 18, 54])];
            int32 var_1443_axis_0 = const()[name = string("op_1443_axis_0"), val = int32(-1)];
            string cache_4_to_fp16_dtype_0 = const()[name = string("cache_4_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 512, 78]> cache_4_to_fp16 = cast(dtype = cache_4_to_fp16_dtype_0, x = cache_4)[name = string("cast_20")];
            tensor<fp16, [1, 512, 6]> var_1443_cast_fp16_0, tensor<fp16, [1, 512, 18]> var_1443_cast_fp16_1, tensor<fp16, [1, 512, 54]> var_1443_cast_fp16_2 = split(axis = var_1443_axis_0, split_sizes = var_1441, x = cache_4_to_fp16)[name = string("op_1443_cast_fp16")];
            tensor<fp16, [1, 512, 1]> vae_decoder_model_3_block_2_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_3_block_2_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86352320)))];
            tensor<fp16, [1, 512, ?]> var_1453_cast_fp16 = mul(x = vae_decoder_model_3_block_2_block_0_alpha_to_fp16, y = x_33_cast_fp16)[name = string("op_1453_cast_fp16")];
            tensor<fp16, [1, 512, ?]> var_1454_cast_fp16 = sin(x = var_1453_cast_fp16)[name = string("op_1454_cast_fp16")];
            fp16 var_1447_promoted_to_fp16 = const()[name = string("op_1447_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 512, ?]> var_1455_cast_fp16 = pow(x = var_1454_cast_fp16, y = var_1447_promoted_to_fp16)[name = string("op_1455_cast_fp16")];
            tensor<fp16, [1, 512, 1]> var_1452_to_fp16 = const()[name = string("op_1452_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86353408)))];
            tensor<fp16, [1, 512, ?]> var_1456_cast_fp16 = mul(x = var_1452_to_fp16, y = var_1455_cast_fp16)[name = string("op_1456_cast_fp16")];
            tensor<fp16, [1, 512, ?]> x_35_cast_fp16 = add(x = x_33_cast_fp16, y = var_1456_cast_fp16)[name = string("x_35_cast_fp16")];
            int32 var_1459 = const()[name = string("op_1459"), val = int32(-1)];
            bool input_21_interleave_0 = const()[name = string("input_21_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 512, ?]> input_21_cast_fp16 = concat(axis = var_1459, interleave = input_21_interleave_0, values = (var_1443_cast_fp16_0, x_35_cast_fp16))[name = string("input_21_cast_fp16")];
            string x_37_pad_type_0 = const()[name = string("x_37_pad_type_0"), val = string("valid")];
            int32 x_37_groups_0 = const()[name = string("x_37_groups_0"), val = int32(512)];
            tensor<int32, [1]> x_37_strides_0 = const()[name = string("x_37_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_37_pad_0 = const()[name = string("x_37_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_37_dilations_0 = const()[name = string("x_37_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [512, 1, 7]> vae_decoder_model_3_block_2_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_3_block_2_block_1_weight_to_fp16"), val = tensor<fp16, [512, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86354496)))];
            tensor<fp16, [512]> vae_decoder_model_3_block_2_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_3_block_2_block_1_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86361728)))];
            tensor<fp16, [1, 512, ?]> x_37_cast_fp16 = conv(bias = vae_decoder_model_3_block_2_block_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 = vae_decoder_model_3_block_2_block_1_weight_to_fp16, x = input_21_cast_fp16)[name = string("x_37_cast_fp16")];
            tensor<int32, [3]> var_1480_begin_0 = const()[name = string("op_1480_begin_0"), val = tensor<int32, [3]>([0, 0, -6])];
            tensor<int32, [3]> var_1480_end_0 = const()[name = string("op_1480_end_0"), val = tensor<int32, [3]>([1, 512, 0])];
            tensor<bool, [3]> var_1480_end_mask_0 = const()[name = string("op_1480_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 512, ?]> var_1480_cast_fp16 = slice_by_index(begin = var_1480_begin_0, end = var_1480_end_0, end_mask = var_1480_end_mask_0, x = input_21_cast_fp16)[name = string("op_1480_cast_fp16")];
            tensor<fp16, [1, 512, 1]> vae_decoder_model_3_block_2_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_3_block_2_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86362816)))];
            tensor<fp16, [1, 512, ?]> var_1487_cast_fp16 = mul(x = vae_decoder_model_3_block_2_block_2_alpha_to_fp16, y = x_37_cast_fp16)[name = string("op_1487_cast_fp16")];
            tensor<fp16, [1, 512, ?]> var_1488_cast_fp16 = sin(x = var_1487_cast_fp16)[name = string("op_1488_cast_fp16")];
            fp16 var_1481_promoted_to_fp16 = const()[name = string("op_1481_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 512, ?]> var_1489_cast_fp16 = pow(x = var_1488_cast_fp16, y = var_1481_promoted_to_fp16)[name = string("op_1489_cast_fp16")];
            tensor<fp16, [1, 512, 1]> var_1486_to_fp16 = const()[name = string("op_1486_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86363904)))];
            tensor<fp16, [1, 512, ?]> var_1490_cast_fp16 = mul(x = var_1486_to_fp16, y = var_1489_cast_fp16)[name = string("op_1490_cast_fp16")];
            tensor<fp16, [1, 512, ?]> input_23_cast_fp16 = add(x = x_37_cast_fp16, y = var_1490_cast_fp16)[name = string("input_23_cast_fp16")];
            string y_7_pad_type_0 = const()[name = string("y_7_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_7_strides_0 = const()[name = string("y_7_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_7_pad_0 = const()[name = string("y_7_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_7_dilations_0 = const()[name = string("y_7_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_7_groups_0 = const()[name = string("y_7_groups_0"), val = int32(1)];
            tensor<fp16, [512, 512, 1]> vae_decoder_model_3_block_2_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_3_block_2_block_3_weight_to_fp16"), val = tensor<fp16, [512, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86364992)))];
            tensor<fp16, [512]> vae_decoder_model_3_block_2_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_3_block_2_block_3_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86889344)))];
            tensor<fp16, [1, 512, ?]> y_7_cast_fp16 = conv(bias = vae_decoder_model_3_block_2_block_3_bias_to_fp16, dilations = y_7_dilations_0, groups = y_7_groups_0, pad = y_7_pad_0, pad_type = y_7_pad_type_0, strides = y_7_strides_0, weight = vae_decoder_model_3_block_2_block_3_weight_to_fp16, x = input_23_cast_fp16)[name = string("y_7_cast_fp16")];
            tensor<fp16, [1, 512, ?]> x_39_cast_fp16 = add(x = x_33_cast_fp16, y = y_7_cast_fp16)[name = string("x_39_cast_fp16")];
            tensor<fp16, [1, 512, 1]> vae_decoder_model_3_block_3_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_3_block_3_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86890432)))];
            tensor<fp16, [1, 512, ?]> var_1515_cast_fp16 = mul(x = vae_decoder_model_3_block_3_block_0_alpha_to_fp16, y = x_39_cast_fp16)[name = string("op_1515_cast_fp16")];
            tensor<fp16, [1, 512, ?]> var_1516_cast_fp16 = sin(x = var_1515_cast_fp16)[name = string("op_1516_cast_fp16")];
            fp16 var_1509_promoted_to_fp16 = const()[name = string("op_1509_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 512, ?]> var_1517_cast_fp16 = pow(x = var_1516_cast_fp16, y = var_1509_promoted_to_fp16)[name = string("op_1517_cast_fp16")];
            tensor<fp16, [1, 512, 1]> var_1514_to_fp16 = const()[name = string("op_1514_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86891520)))];
            tensor<fp16, [1, 512, ?]> var_1518_cast_fp16 = mul(x = var_1514_to_fp16, y = var_1517_cast_fp16)[name = string("op_1518_cast_fp16")];
            tensor<fp16, [1, 512, ?]> x_41_cast_fp16 = add(x = x_39_cast_fp16, y = var_1518_cast_fp16)[name = string("x_41_cast_fp16")];
            int32 var_1521 = const()[name = string("op_1521"), val = int32(-1)];
            bool input_25_interleave_0 = const()[name = string("input_25_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 512, ?]> input_25_cast_fp16 = concat(axis = var_1521, interleave = input_25_interleave_0, values = (var_1443_cast_fp16_1, x_41_cast_fp16))[name = string("input_25_cast_fp16")];
            string x_43_pad_type_0 = const()[name = string("x_43_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> x_43_dilations_0 = const()[name = string("x_43_dilations_0"), val = tensor<int32, [1]>([3])];
            int32 x_43_groups_0 = const()[name = string("x_43_groups_0"), val = int32(512)];
            tensor<int32, [1]> x_43_strides_0 = const()[name = string("x_43_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_43_pad_0 = const()[name = string("x_43_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<fp16, [512, 1, 7]> vae_decoder_model_3_block_3_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_3_block_3_block_1_weight_to_fp16"), val = tensor<fp16, [512, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86892608)))];
            tensor<fp16, [512]> vae_decoder_model_3_block_3_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_3_block_3_block_1_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86899840)))];
            tensor<fp16, [1, 512, ?]> x_43_cast_fp16 = conv(bias = vae_decoder_model_3_block_3_block_1_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 = vae_decoder_model_3_block_3_block_1_weight_to_fp16, x = input_25_cast_fp16)[name = string("x_43_cast_fp16")];
            tensor<int32, [3]> var_1542_begin_0 = const()[name = string("op_1542_begin_0"), val = tensor<int32, [3]>([0, 0, -18])];
            tensor<int32, [3]> var_1542_end_0 = const()[name = string("op_1542_end_0"), val = tensor<int32, [3]>([1, 512, 0])];
            tensor<bool, [3]> var_1542_end_mask_0 = const()[name = string("op_1542_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 512, ?]> var_1542_cast_fp16 = slice_by_index(begin = var_1542_begin_0, end = var_1542_end_0, end_mask = var_1542_end_mask_0, x = input_25_cast_fp16)[name = string("op_1542_cast_fp16")];
            tensor<fp16, [1, 512, 1]> vae_decoder_model_3_block_3_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_3_block_3_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86900928)))];
            tensor<fp16, [1, 512, ?]> var_1549_cast_fp16 = mul(x = vae_decoder_model_3_block_3_block_2_alpha_to_fp16, y = x_43_cast_fp16)[name = string("op_1549_cast_fp16")];
            tensor<fp16, [1, 512, ?]> var_1550_cast_fp16 = sin(x = var_1549_cast_fp16)[name = string("op_1550_cast_fp16")];
            fp16 var_1543_promoted_to_fp16 = const()[name = string("op_1543_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 512, ?]> var_1551_cast_fp16 = pow(x = var_1550_cast_fp16, y = var_1543_promoted_to_fp16)[name = string("op_1551_cast_fp16")];
            tensor<fp16, [1, 512, 1]> var_1548_to_fp16 = const()[name = string("op_1548_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86902016)))];
            tensor<fp16, [1, 512, ?]> var_1552_cast_fp16 = mul(x = var_1548_to_fp16, y = var_1551_cast_fp16)[name = string("op_1552_cast_fp16")];
            tensor<fp16, [1, 512, ?]> input_27_cast_fp16 = add(x = x_43_cast_fp16, y = var_1552_cast_fp16)[name = string("input_27_cast_fp16")];
            string y_9_pad_type_0 = const()[name = string("y_9_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_9_strides_0 = const()[name = string("y_9_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_9_pad_0 = const()[name = string("y_9_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_9_dilations_0 = const()[name = string("y_9_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_9_groups_0 = const()[name = string("y_9_groups_0"), val = int32(1)];
            tensor<fp16, [512, 512, 1]> vae_decoder_model_3_block_3_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_3_block_3_block_3_weight_to_fp16"), val = tensor<fp16, [512, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(86903104)))];
            tensor<fp16, [512]> vae_decoder_model_3_block_3_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_3_block_3_block_3_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(87427456)))];
            tensor<fp16, [1, 512, ?]> y_9_cast_fp16 = conv(bias = vae_decoder_model_3_block_3_block_3_bias_to_fp16, dilations = y_9_dilations_0, groups = y_9_groups_0, pad = y_9_pad_0, pad_type = y_9_pad_type_0, strides = y_9_strides_0, weight = vae_decoder_model_3_block_3_block_3_weight_to_fp16, x = input_27_cast_fp16)[name = string("y_9_cast_fp16")];
            tensor<fp16, [1, 512, ?]> x_45_cast_fp16 = add(x = x_39_cast_fp16, y = y_9_cast_fp16)[name = string("x_45_cast_fp16")];
            tensor<fp16, [1, 512, 1]> vae_decoder_model_3_block_4_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_3_block_4_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(87428544)))];
            tensor<fp16, [1, 512, ?]> var_1577_cast_fp16 = mul(x = vae_decoder_model_3_block_4_block_0_alpha_to_fp16, y = x_45_cast_fp16)[name = string("op_1577_cast_fp16")];
            tensor<fp16, [1, 512, ?]> var_1578_cast_fp16 = sin(x = var_1577_cast_fp16)[name = string("op_1578_cast_fp16")];
            fp16 var_1571_promoted_to_fp16 = const()[name = string("op_1571_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 512, ?]> var_1579_cast_fp16 = pow(x = var_1578_cast_fp16, y = var_1571_promoted_to_fp16)[name = string("op_1579_cast_fp16")];
            tensor<fp16, [1, 512, 1]> var_1576_to_fp16 = const()[name = string("op_1576_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(87429632)))];
            tensor<fp16, [1, 512, ?]> var_1580_cast_fp16 = mul(x = var_1576_to_fp16, y = var_1579_cast_fp16)[name = string("op_1580_cast_fp16")];
            tensor<fp16, [1, 512, ?]> x_47_cast_fp16 = add(x = x_45_cast_fp16, y = var_1580_cast_fp16)[name = string("x_47_cast_fp16")];
            int32 var_1583 = const()[name = string("op_1583"), val = int32(-1)];
            bool input_29_interleave_0 = const()[name = string("input_29_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 512, ?]> input_29_cast_fp16 = concat(axis = var_1583, interleave = input_29_interleave_0, values = (var_1443_cast_fp16_2, x_47_cast_fp16))[name = string("input_29_cast_fp16")];
            string x_49_pad_type_0 = const()[name = string("x_49_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> x_49_dilations_0 = const()[name = string("x_49_dilations_0"), val = tensor<int32, [1]>([9])];
            int32 x_49_groups_0 = const()[name = string("x_49_groups_0"), val = int32(512)];
            tensor<int32, [1]> x_49_strides_0 = const()[name = string("x_49_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_49_pad_0 = const()[name = string("x_49_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<fp16, [512, 1, 7]> vae_decoder_model_3_block_4_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_3_block_4_block_1_weight_to_fp16"), val = tensor<fp16, [512, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(87430720)))];
            tensor<fp16, [512]> vae_decoder_model_3_block_4_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_3_block_4_block_1_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(87437952)))];
            tensor<fp16, [1, 512, ?]> x_49_cast_fp16 = conv(bias = vae_decoder_model_3_block_4_block_1_bias_to_fp16, dilations = x_49_dilations_0, groups = x_49_groups_0, pad = x_49_pad_0, pad_type = x_49_pad_type_0, strides = x_49_strides_0, weight = vae_decoder_model_3_block_4_block_1_weight_to_fp16, x = input_29_cast_fp16)[name = string("x_49_cast_fp16")];
            tensor<int32, [3]> new_sub_3_begin_0 = const()[name = string("new_sub_3_begin_0"), val = tensor<int32, [3]>([0, 0, -54])];
            tensor<int32, [3]> new_sub_3_end_0 = const()[name = string("new_sub_3_end_0"), val = tensor<int32, [3]>([1, 512, 0])];
            tensor<bool, [3]> new_sub_3_end_mask_0 = const()[name = string("new_sub_3_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 512, ?]> new_sub_3_cast_fp16 = slice_by_index(begin = new_sub_3_begin_0, end = new_sub_3_end_0, end_mask = new_sub_3_end_mask_0, x = input_29_cast_fp16)[name = string("new_sub_3_cast_fp16")];
            tensor<fp16, [1, 512, 1]> vae_decoder_model_3_block_4_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_3_block_4_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(87439040)))];
            tensor<fp16, [1, 512, ?]> var_1611_cast_fp16 = mul(x = vae_decoder_model_3_block_4_block_2_alpha_to_fp16, y = x_49_cast_fp16)[name = string("op_1611_cast_fp16")];
            tensor<fp16, [1, 512, ?]> var_1612_cast_fp16 = sin(x = var_1611_cast_fp16)[name = string("op_1612_cast_fp16")];
            fp16 var_1605_promoted_to_fp16 = const()[name = string("op_1605_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 512, ?]> var_1613_cast_fp16 = pow(x = var_1612_cast_fp16, y = var_1605_promoted_to_fp16)[name = string("op_1613_cast_fp16")];
            tensor<fp16, [1, 512, 1]> var_1610_to_fp16 = const()[name = string("op_1610_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(87440128)))];
            tensor<fp16, [1, 512, ?]> var_1614_cast_fp16 = mul(x = var_1610_to_fp16, y = var_1613_cast_fp16)[name = string("op_1614_cast_fp16")];
            tensor<fp16, [1, 512, ?]> input_31_cast_fp16 = add(x = x_49_cast_fp16, y = var_1614_cast_fp16)[name = string("input_31_cast_fp16")];
            string y_11_pad_type_0 = const()[name = string("y_11_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_11_strides_0 = const()[name = string("y_11_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_11_pad_0 = const()[name = string("y_11_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_11_dilations_0 = const()[name = string("y_11_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_11_groups_0 = const()[name = string("y_11_groups_0"), val = int32(1)];
            tensor<fp16, [512, 512, 1]> vae_decoder_model_3_block_4_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_3_block_4_block_3_weight_to_fp16"), val = tensor<fp16, [512, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(87441216)))];
            tensor<fp16, [512]> vae_decoder_model_3_block_4_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_3_block_4_block_3_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(87965568)))];
            tensor<fp16, [1, 512, ?]> y_11_cast_fp16 = conv(bias = vae_decoder_model_3_block_4_block_3_bias_to_fp16, dilations = y_11_dilations_0, groups = y_11_groups_0, pad = y_11_pad_0, pad_type = y_11_pad_type_0, strides = y_11_strides_0, weight = vae_decoder_model_3_block_4_block_3_weight_to_fp16, x = input_31_cast_fp16)[name = string("y_11_cast_fp16")];
            tensor<fp16, [1, 512, ?]> x_51_cast_fp16 = add(x = x_45_cast_fp16, y = y_11_cast_fp16)[name = string("x_51_cast_fp16")];
            int32 var_1634 = const()[name = string("op_1634"), val = int32(-1)];
            bool var_1635_interleave_0 = const()[name = string("op_1635_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 512, ?]> var_1635_cast_fp16 = concat(axis = var_1634, interleave = var_1635_interleave_0, values = (var_1480_cast_fp16, var_1542_cast_fp16, new_sub_3_cast_fp16))[name = string("op_1635_cast_fp16")];
            string var_1635_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_1635_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            tensor<fp16, [1, 512, 1]> sr_scale_4_to_fp16 = const()[name = string("sr_scale_4_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(87966656)))];
            tensor<fp16, [1, 512, ?]> var_1636_cast_fp16 = mul(x = x_51_cast_fp16, y = sr_scale_4_to_fp16)[name = string("op_1636_cast_fp16")];
            tensor<fp16, [1, 512, 1]> sr_bias_4_to_fp16 = const()[name = string("sr_bias_4_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(87967744)))];
            tensor<fp16, [1, 512, ?]> x_53_cast_fp16 = add(x = var_1636_cast_fp16, y = sr_bias_4_to_fp16)[name = string("x_53_cast_fp16")];
            tensor<fp16, [1, 512, 1]> vae_decoder_model_4_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_4_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(87968832)))];
            tensor<fp16, [1, 512, ?]> var_1645_cast_fp16 = mul(x = vae_decoder_model_4_block_0_alpha_to_fp16, y = x_53_cast_fp16)[name = string("op_1645_cast_fp16")];
            tensor<fp16, [1, 512, ?]> var_1646_cast_fp16 = sin(x = var_1645_cast_fp16)[name = string("op_1646_cast_fp16")];
            fp16 var_1639_promoted_to_fp16 = const()[name = string("op_1639_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 512, ?]> var_1647_cast_fp16 = pow(x = var_1646_cast_fp16, y = var_1639_promoted_to_fp16)[name = string("op_1647_cast_fp16")];
            tensor<fp16, [1, 512, 1]> var_1644_to_fp16 = const()[name = string("op_1644_to_fp16"), val = tensor<fp16, [1, 512, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(87969920)))];
            tensor<fp16, [1, 512, ?]> var_1648_cast_fp16 = mul(x = var_1644_to_fp16, y = var_1647_cast_fp16)[name = string("op_1648_cast_fp16")];
            tensor<fp16, [1, 512, ?]> x_55_cast_fp16 = add(x = x_53_cast_fp16, y = var_1648_cast_fp16)[name = string("x_55_cast_fp16")];
            int32 var_1651 = const()[name = string("op_1651"), val = int32(-1)];
            bool input_33_interleave_0 = const()[name = string("input_33_interleave_0"), val = bool(false)];
            string cache_5_to_fp16_dtype_0 = const()[name = string("cache_5_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 512, 1]> cache_5_to_fp16 = cast(dtype = cache_5_to_fp16_dtype_0, x = cache_5)[name = string("cast_18")];
            tensor<fp16, [1, 512, ?]> input_33_cast_fp16 = concat(axis = var_1651, interleave = input_33_interleave_0, values = (cache_5_to_fp16, x_55_cast_fp16))[name = string("input_33_cast_fp16")];
            string out_5_pad_type_0 = const()[name = string("out_5_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> out_5_strides_0 = const()[name = string("out_5_strides_0"), val = tensor<int32, [1]>([5])];
            tensor<int32, [2]> out_5_pad_0 = const()[name = string("out_5_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> out_5_dilations_0 = const()[name = string("out_5_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 out_5_groups_0 = const()[name = string("out_5_groups_0"), val = int32(1)];
            tensor<fp16, [512, 256, 10]> vae_decoder_model_4_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_4_block_1_weight_to_fp16"), val = tensor<fp16, [512, 256, 10]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(87971008)))];
            tensor<fp16, [256]> vae_decoder_model_4_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_4_block_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90592512)))];
            tensor<fp16, [1, 256, ?]> out_5_cast_fp16 = conv_transpose(bias = vae_decoder_model_4_block_1_bias_to_fp16, dilations = out_5_dilations_0, groups = out_5_groups_0, pad = out_5_pad_0, pad_type = out_5_pad_type_0, strides = out_5_strides_0, weight = vae_decoder_model_4_block_1_weight_to_fp16, x = input_33_cast_fp16)[name = string("out_5_cast_fp16")];
            tensor<int32, [3]> x_57_begin_0 = const()[name = string("x_57_begin_0"), val = tensor<int32, [3]>([0, 0, 5])];
            tensor<int32, [3]> x_57_end_0 = const()[name = string("x_57_end_0"), val = tensor<int32, [3]>([1, 256, -5])];
            tensor<bool, [3]> x_57_end_mask_0 = const()[name = string("x_57_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [1, 256, ?]> x_57_cast_fp16 = slice_by_index(begin = x_57_begin_0, end = x_57_end_0, end_mask = x_57_end_mask_0, x = out_5_cast_fp16)[name = string("x_57_cast_fp16")];
            tensor<int32, [3]> var_1677_begin_0 = const()[name = string("op_1677_begin_0"), val = tensor<int32, [3]>([0, 0, -1])];
            tensor<int32, [3]> var_1677_end_0 = const()[name = string("op_1677_end_0"), val = tensor<int32, [3]>([1, 512, 0])];
            tensor<bool, [3]> var_1677_end_mask_0 = const()[name = string("op_1677_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 512, 1]> var_1677_cast_fp16 = slice_by_index(begin = var_1677_begin_0, end = var_1677_end_0, end_mask = var_1677_end_mask_0, x = x_55_cast_fp16)[name = string("op_1677_cast_fp16")];
            string var_1677_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_1677_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            tensor<int32, [3]> var_1681 = const()[name = string("op_1681"), val = tensor<int32, [3]>([6, 18, 54])];
            int32 var_1683_axis_0 = const()[name = string("op_1683_axis_0"), val = int32(-1)];
            string cache_6_to_fp16_dtype_0 = const()[name = string("cache_6_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 256, 78]> cache_6_to_fp16 = cast(dtype = cache_6_to_fp16_dtype_0, x = cache_6)[name = string("cast_16")];
            tensor<fp16, [1, 256, 6]> var_1683_cast_fp16_0, tensor<fp16, [1, 256, 18]> var_1683_cast_fp16_1, tensor<fp16, [1, 256, 54]> var_1683_cast_fp16_2 = split(axis = var_1683_axis_0, split_sizes = var_1681, x = cache_6_to_fp16)[name = string("op_1683_cast_fp16")];
            tensor<fp16, [1, 256, 1]> vae_decoder_model_4_block_2_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_4_block_2_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90593088)))];
            tensor<fp16, [1, 256, ?]> var_1693_cast_fp16 = mul(x = vae_decoder_model_4_block_2_block_0_alpha_to_fp16, y = x_57_cast_fp16)[name = string("op_1693_cast_fp16")];
            tensor<fp16, [1, 256, ?]> var_1694_cast_fp16 = sin(x = var_1693_cast_fp16)[name = string("op_1694_cast_fp16")];
            fp16 var_1687_promoted_to_fp16 = const()[name = string("op_1687_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, ?]> var_1695_cast_fp16 = pow(x = var_1694_cast_fp16, y = var_1687_promoted_to_fp16)[name = string("op_1695_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_1692_to_fp16 = const()[name = string("op_1692_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90593664)))];
            tensor<fp16, [1, 256, ?]> var_1696_cast_fp16 = mul(x = var_1692_to_fp16, y = var_1695_cast_fp16)[name = string("op_1696_cast_fp16")];
            tensor<fp16, [1, 256, ?]> x_59_cast_fp16 = add(x = x_57_cast_fp16, y = var_1696_cast_fp16)[name = string("x_59_cast_fp16")];
            int32 var_1699 = const()[name = string("op_1699"), val = int32(-1)];
            bool input_35_interleave_0 = const()[name = string("input_35_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 256, ?]> input_35_cast_fp16 = concat(axis = var_1699, interleave = input_35_interleave_0, values = (var_1683_cast_fp16_0, x_59_cast_fp16))[name = string("input_35_cast_fp16")];
            string x_61_pad_type_0 = const()[name = string("x_61_pad_type_0"), val = string("valid")];
            int32 x_61_groups_0 = const()[name = string("x_61_groups_0"), val = int32(256)];
            tensor<int32, [1]> x_61_strides_0 = const()[name = string("x_61_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_61_pad_0 = const()[name = string("x_61_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_61_dilations_0 = const()[name = string("x_61_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [256, 1, 7]> vae_decoder_model_4_block_2_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_4_block_2_block_1_weight_to_fp16"), val = tensor<fp16, [256, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90594240)))];
            tensor<fp16, [256]> vae_decoder_model_4_block_2_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_4_block_2_block_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90597888)))];
            tensor<fp16, [1, 256, ?]> x_61_cast_fp16 = conv(bias = vae_decoder_model_4_block_2_block_1_bias_to_fp16, dilations = x_61_dilations_0, groups = x_61_groups_0, pad = x_61_pad_0, pad_type = x_61_pad_type_0, strides = x_61_strides_0, weight = vae_decoder_model_4_block_2_block_1_weight_to_fp16, x = input_35_cast_fp16)[name = string("x_61_cast_fp16")];
            tensor<int32, [3]> var_1720_begin_0 = const()[name = string("op_1720_begin_0"), val = tensor<int32, [3]>([0, 0, -6])];
            tensor<int32, [3]> var_1720_end_0 = const()[name = string("op_1720_end_0"), val = tensor<int32, [3]>([1, 256, 0])];
            tensor<bool, [3]> var_1720_end_mask_0 = const()[name = string("op_1720_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 256, ?]> var_1720_cast_fp16 = slice_by_index(begin = var_1720_begin_0, end = var_1720_end_0, end_mask = var_1720_end_mask_0, x = input_35_cast_fp16)[name = string("op_1720_cast_fp16")];
            tensor<fp16, [1, 256, 1]> vae_decoder_model_4_block_2_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_4_block_2_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90598464)))];
            tensor<fp16, [1, 256, ?]> var_1727_cast_fp16 = mul(x = vae_decoder_model_4_block_2_block_2_alpha_to_fp16, y = x_61_cast_fp16)[name = string("op_1727_cast_fp16")];
            tensor<fp16, [1, 256, ?]> var_1728_cast_fp16 = sin(x = var_1727_cast_fp16)[name = string("op_1728_cast_fp16")];
            fp16 var_1721_promoted_to_fp16 = const()[name = string("op_1721_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, ?]> var_1729_cast_fp16 = pow(x = var_1728_cast_fp16, y = var_1721_promoted_to_fp16)[name = string("op_1729_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_1726_to_fp16 = const()[name = string("op_1726_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90599040)))];
            tensor<fp16, [1, 256, ?]> var_1730_cast_fp16 = mul(x = var_1726_to_fp16, y = var_1729_cast_fp16)[name = string("op_1730_cast_fp16")];
            tensor<fp16, [1, 256, ?]> input_37_cast_fp16 = add(x = x_61_cast_fp16, y = var_1730_cast_fp16)[name = string("input_37_cast_fp16")];
            string y_13_pad_type_0 = const()[name = string("y_13_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_13_strides_0 = const()[name = string("y_13_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_13_pad_0 = const()[name = string("y_13_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_13_dilations_0 = const()[name = string("y_13_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_13_groups_0 = const()[name = string("y_13_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 1]> vae_decoder_model_4_block_2_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_4_block_2_block_3_weight_to_fp16"), val = tensor<fp16, [256, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90599616)))];
            tensor<fp16, [256]> vae_decoder_model_4_block_2_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_4_block_2_block_3_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90730752)))];
            tensor<fp16, [1, 256, ?]> y_13_cast_fp16 = conv(bias = vae_decoder_model_4_block_2_block_3_bias_to_fp16, dilations = y_13_dilations_0, groups = y_13_groups_0, pad = y_13_pad_0, pad_type = y_13_pad_type_0, strides = y_13_strides_0, weight = vae_decoder_model_4_block_2_block_3_weight_to_fp16, x = input_37_cast_fp16)[name = string("y_13_cast_fp16")];
            tensor<fp16, [1, 256, ?]> x_63_cast_fp16 = add(x = x_57_cast_fp16, y = y_13_cast_fp16)[name = string("x_63_cast_fp16")];
            tensor<fp16, [1, 256, 1]> vae_decoder_model_4_block_3_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_4_block_3_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90731328)))];
            tensor<fp16, [1, 256, ?]> var_1755_cast_fp16 = mul(x = vae_decoder_model_4_block_3_block_0_alpha_to_fp16, y = x_63_cast_fp16)[name = string("op_1755_cast_fp16")];
            tensor<fp16, [1, 256, ?]> var_1756_cast_fp16 = sin(x = var_1755_cast_fp16)[name = string("op_1756_cast_fp16")];
            fp16 var_1749_promoted_to_fp16 = const()[name = string("op_1749_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, ?]> var_1757_cast_fp16 = pow(x = var_1756_cast_fp16, y = var_1749_promoted_to_fp16)[name = string("op_1757_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_1754_to_fp16 = const()[name = string("op_1754_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90731904)))];
            tensor<fp16, [1, 256, ?]> var_1758_cast_fp16 = mul(x = var_1754_to_fp16, y = var_1757_cast_fp16)[name = string("op_1758_cast_fp16")];
            tensor<fp16, [1, 256, ?]> x_65_cast_fp16 = add(x = x_63_cast_fp16, y = var_1758_cast_fp16)[name = string("x_65_cast_fp16")];
            int32 var_1761 = const()[name = string("op_1761"), val = int32(-1)];
            bool input_39_interleave_0 = const()[name = string("input_39_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 256, ?]> input_39_cast_fp16 = concat(axis = var_1761, interleave = input_39_interleave_0, values = (var_1683_cast_fp16_1, x_65_cast_fp16))[name = string("input_39_cast_fp16")];
            string x_67_pad_type_0 = const()[name = string("x_67_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> x_67_dilations_0 = const()[name = string("x_67_dilations_0"), val = tensor<int32, [1]>([3])];
            int32 x_67_groups_0 = const()[name = string("x_67_groups_0"), val = int32(256)];
            tensor<int32, [1]> x_67_strides_0 = const()[name = string("x_67_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_67_pad_0 = const()[name = string("x_67_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<fp16, [256, 1, 7]> vae_decoder_model_4_block_3_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_4_block_3_block_1_weight_to_fp16"), val = tensor<fp16, [256, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90732480)))];
            tensor<fp16, [256]> vae_decoder_model_4_block_3_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_4_block_3_block_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90736128)))];
            tensor<fp16, [1, 256, ?]> x_67_cast_fp16 = conv(bias = vae_decoder_model_4_block_3_block_1_bias_to_fp16, dilations = x_67_dilations_0, groups = x_67_groups_0, pad = x_67_pad_0, pad_type = x_67_pad_type_0, strides = x_67_strides_0, weight = vae_decoder_model_4_block_3_block_1_weight_to_fp16, x = input_39_cast_fp16)[name = string("x_67_cast_fp16")];
            tensor<int32, [3]> var_1782_begin_0 = const()[name = string("op_1782_begin_0"), val = tensor<int32, [3]>([0, 0, -18])];
            tensor<int32, [3]> var_1782_end_0 = const()[name = string("op_1782_end_0"), val = tensor<int32, [3]>([1, 256, 0])];
            tensor<bool, [3]> var_1782_end_mask_0 = const()[name = string("op_1782_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 256, ?]> var_1782_cast_fp16 = slice_by_index(begin = var_1782_begin_0, end = var_1782_end_0, end_mask = var_1782_end_mask_0, x = input_39_cast_fp16)[name = string("op_1782_cast_fp16")];
            tensor<fp16, [1, 256, 1]> vae_decoder_model_4_block_3_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_4_block_3_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90736704)))];
            tensor<fp16, [1, 256, ?]> var_1789_cast_fp16 = mul(x = vae_decoder_model_4_block_3_block_2_alpha_to_fp16, y = x_67_cast_fp16)[name = string("op_1789_cast_fp16")];
            tensor<fp16, [1, 256, ?]> var_1790_cast_fp16 = sin(x = var_1789_cast_fp16)[name = string("op_1790_cast_fp16")];
            fp16 var_1783_promoted_to_fp16 = const()[name = string("op_1783_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, ?]> var_1791_cast_fp16 = pow(x = var_1790_cast_fp16, y = var_1783_promoted_to_fp16)[name = string("op_1791_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_1788_to_fp16 = const()[name = string("op_1788_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90737280)))];
            tensor<fp16, [1, 256, ?]> var_1792_cast_fp16 = mul(x = var_1788_to_fp16, y = var_1791_cast_fp16)[name = string("op_1792_cast_fp16")];
            tensor<fp16, [1, 256, ?]> input_41_cast_fp16 = add(x = x_67_cast_fp16, y = var_1792_cast_fp16)[name = string("input_41_cast_fp16")];
            string y_15_pad_type_0 = const()[name = string("y_15_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_15_strides_0 = const()[name = string("y_15_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_15_pad_0 = const()[name = string("y_15_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_15_dilations_0 = const()[name = string("y_15_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_15_groups_0 = const()[name = string("y_15_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 1]> vae_decoder_model_4_block_3_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_4_block_3_block_3_weight_to_fp16"), val = tensor<fp16, [256, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90737856)))];
            tensor<fp16, [256]> vae_decoder_model_4_block_3_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_4_block_3_block_3_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90868992)))];
            tensor<fp16, [1, 256, ?]> y_15_cast_fp16 = conv(bias = vae_decoder_model_4_block_3_block_3_bias_to_fp16, dilations = y_15_dilations_0, groups = y_15_groups_0, pad = y_15_pad_0, pad_type = y_15_pad_type_0, strides = y_15_strides_0, weight = vae_decoder_model_4_block_3_block_3_weight_to_fp16, x = input_41_cast_fp16)[name = string("y_15_cast_fp16")];
            tensor<fp16, [1, 256, ?]> x_69_cast_fp16 = add(x = x_63_cast_fp16, y = y_15_cast_fp16)[name = string("x_69_cast_fp16")];
            tensor<fp16, [1, 256, 1]> vae_decoder_model_4_block_4_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_4_block_4_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90869568)))];
            tensor<fp16, [1, 256, ?]> var_1817_cast_fp16 = mul(x = vae_decoder_model_4_block_4_block_0_alpha_to_fp16, y = x_69_cast_fp16)[name = string("op_1817_cast_fp16")];
            tensor<fp16, [1, 256, ?]> var_1818_cast_fp16 = sin(x = var_1817_cast_fp16)[name = string("op_1818_cast_fp16")];
            fp16 var_1811_promoted_to_fp16 = const()[name = string("op_1811_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, ?]> var_1819_cast_fp16 = pow(x = var_1818_cast_fp16, y = var_1811_promoted_to_fp16)[name = string("op_1819_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_1816_to_fp16 = const()[name = string("op_1816_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90870144)))];
            tensor<fp16, [1, 256, ?]> var_1820_cast_fp16 = mul(x = var_1816_to_fp16, y = var_1819_cast_fp16)[name = string("op_1820_cast_fp16")];
            tensor<fp16, [1, 256, ?]> x_71_cast_fp16 = add(x = x_69_cast_fp16, y = var_1820_cast_fp16)[name = string("x_71_cast_fp16")];
            int32 var_1823 = const()[name = string("op_1823"), val = int32(-1)];
            bool input_43_interleave_0 = const()[name = string("input_43_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 256, ?]> input_43_cast_fp16 = concat(axis = var_1823, interleave = input_43_interleave_0, values = (var_1683_cast_fp16_2, x_71_cast_fp16))[name = string("input_43_cast_fp16")];
            string x_73_pad_type_0 = const()[name = string("x_73_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> x_73_dilations_0 = const()[name = string("x_73_dilations_0"), val = tensor<int32, [1]>([9])];
            int32 x_73_groups_0 = const()[name = string("x_73_groups_0"), val = int32(256)];
            tensor<int32, [1]> x_73_strides_0 = const()[name = string("x_73_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_73_pad_0 = const()[name = string("x_73_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<fp16, [256, 1, 7]> vae_decoder_model_4_block_4_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_4_block_4_block_1_weight_to_fp16"), val = tensor<fp16, [256, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90870720)))];
            tensor<fp16, [256]> vae_decoder_model_4_block_4_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_4_block_4_block_1_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90874368)))];
            tensor<fp16, [1, 256, ?]> x_73_cast_fp16 = conv(bias = vae_decoder_model_4_block_4_block_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 = vae_decoder_model_4_block_4_block_1_weight_to_fp16, x = input_43_cast_fp16)[name = string("x_73_cast_fp16")];
            tensor<int32, [3]> new_sub_5_begin_0 = const()[name = string("new_sub_5_begin_0"), val = tensor<int32, [3]>([0, 0, -54])];
            tensor<int32, [3]> new_sub_5_end_0 = const()[name = string("new_sub_5_end_0"), val = tensor<int32, [3]>([1, 256, 0])];
            tensor<bool, [3]> new_sub_5_end_mask_0 = const()[name = string("new_sub_5_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 256, ?]> new_sub_5_cast_fp16 = slice_by_index(begin = new_sub_5_begin_0, end = new_sub_5_end_0, end_mask = new_sub_5_end_mask_0, x = input_43_cast_fp16)[name = string("new_sub_5_cast_fp16")];
            tensor<fp16, [1, 256, 1]> vae_decoder_model_4_block_4_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_4_block_4_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90874944)))];
            tensor<fp16, [1, 256, ?]> var_1851_cast_fp16 = mul(x = vae_decoder_model_4_block_4_block_2_alpha_to_fp16, y = x_73_cast_fp16)[name = string("op_1851_cast_fp16")];
            tensor<fp16, [1, 256, ?]> var_1852_cast_fp16 = sin(x = var_1851_cast_fp16)[name = string("op_1852_cast_fp16")];
            fp16 var_1845_promoted_to_fp16 = const()[name = string("op_1845_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, ?]> var_1853_cast_fp16 = pow(x = var_1852_cast_fp16, y = var_1845_promoted_to_fp16)[name = string("op_1853_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_1850_to_fp16 = const()[name = string("op_1850_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90875520)))];
            tensor<fp16, [1, 256, ?]> var_1854_cast_fp16 = mul(x = var_1850_to_fp16, y = var_1853_cast_fp16)[name = string("op_1854_cast_fp16")];
            tensor<fp16, [1, 256, ?]> input_45_cast_fp16 = add(x = x_73_cast_fp16, y = var_1854_cast_fp16)[name = string("input_45_cast_fp16")];
            string y_17_pad_type_0 = const()[name = string("y_17_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_17_strides_0 = const()[name = string("y_17_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_17_pad_0 = const()[name = string("y_17_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_17_dilations_0 = const()[name = string("y_17_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_17_groups_0 = const()[name = string("y_17_groups_0"), val = int32(1)];
            tensor<fp16, [256, 256, 1]> vae_decoder_model_4_block_4_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_4_block_4_block_3_weight_to_fp16"), val = tensor<fp16, [256, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(90876096)))];
            tensor<fp16, [256]> vae_decoder_model_4_block_4_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_4_block_4_block_3_bias_to_fp16"), val = tensor<fp16, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91007232)))];
            tensor<fp16, [1, 256, ?]> y_17_cast_fp16 = conv(bias = vae_decoder_model_4_block_4_block_3_bias_to_fp16, dilations = y_17_dilations_0, groups = y_17_groups_0, pad = y_17_pad_0, pad_type = y_17_pad_type_0, strides = y_17_strides_0, weight = vae_decoder_model_4_block_4_block_3_weight_to_fp16, x = input_45_cast_fp16)[name = string("y_17_cast_fp16")];
            tensor<fp16, [1, 256, ?]> x_75_cast_fp16 = add(x = x_69_cast_fp16, y = y_17_cast_fp16)[name = string("x_75_cast_fp16")];
            int32 var_1874 = const()[name = string("op_1874"), val = int32(-1)];
            bool var_1875_interleave_0 = const()[name = string("op_1875_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 256, ?]> var_1875_cast_fp16 = concat(axis = var_1874, interleave = var_1875_interleave_0, values = (var_1720_cast_fp16, var_1782_cast_fp16, new_sub_5_cast_fp16))[name = string("op_1875_cast_fp16")];
            string var_1875_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_1875_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            tensor<fp16, [1, 256, 1]> sr_scale_5_to_fp16 = const()[name = string("sr_scale_5_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91007808)))];
            tensor<fp16, [1, 256, ?]> var_1876_cast_fp16 = mul(x = x_75_cast_fp16, y = sr_scale_5_to_fp16)[name = string("op_1876_cast_fp16")];
            tensor<fp16, [1, 256, 1]> sr_bias_5_to_fp16 = const()[name = string("sr_bias_5_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91008384)))];
            tensor<fp16, [1, 256, ?]> x_77_cast_fp16 = add(x = var_1876_cast_fp16, y = sr_bias_5_to_fp16)[name = string("x_77_cast_fp16")];
            tensor<fp16, [1, 256, 1]> vae_decoder_model_5_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_5_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91008960)))];
            tensor<fp16, [1, 256, ?]> var_1885_cast_fp16 = mul(x = vae_decoder_model_5_block_0_alpha_to_fp16, y = x_77_cast_fp16)[name = string("op_1885_cast_fp16")];
            tensor<fp16, [1, 256, ?]> var_1886_cast_fp16 = sin(x = var_1885_cast_fp16)[name = string("op_1886_cast_fp16")];
            fp16 var_1879_promoted_to_fp16 = const()[name = string("op_1879_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 256, ?]> var_1887_cast_fp16 = pow(x = var_1886_cast_fp16, y = var_1879_promoted_to_fp16)[name = string("op_1887_cast_fp16")];
            tensor<fp16, [1, 256, 1]> var_1884_to_fp16 = const()[name = string("op_1884_to_fp16"), val = tensor<fp16, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91009536)))];
            tensor<fp16, [1, 256, ?]> var_1888_cast_fp16 = mul(x = var_1884_to_fp16, y = var_1887_cast_fp16)[name = string("op_1888_cast_fp16")];
            tensor<fp16, [1, 256, ?]> x_79_cast_fp16 = add(x = x_77_cast_fp16, y = var_1888_cast_fp16)[name = string("x_79_cast_fp16")];
            int32 var_1891 = const()[name = string("op_1891"), val = int32(-1)];
            bool input_47_interleave_0 = const()[name = string("input_47_interleave_0"), val = bool(false)];
            string cache_7_to_fp16_dtype_0 = const()[name = string("cache_7_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 256, 1]> cache_7_to_fp16 = cast(dtype = cache_7_to_fp16_dtype_0, x = cache_7)[name = string("cast_14")];
            tensor<fp16, [1, 256, ?]> input_47_cast_fp16 = concat(axis = var_1891, interleave = input_47_interleave_0, values = (cache_7_to_fp16, x_79_cast_fp16))[name = string("input_47_cast_fp16")];
            string out_7_pad_type_0 = const()[name = string("out_7_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> out_7_strides_0 = const()[name = string("out_7_strides_0"), val = tensor<int32, [1]>([2])];
            tensor<int32, [2]> out_7_pad_0 = const()[name = string("out_7_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> out_7_dilations_0 = const()[name = string("out_7_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 out_7_groups_0 = const()[name = string("out_7_groups_0"), val = int32(1)];
            tensor<fp16, [256, 128, 4]> vae_decoder_model_5_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_5_block_1_weight_to_fp16"), val = tensor<fp16, [256, 128, 4]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91010112)))];
            tensor<fp16, [128]> vae_decoder_model_5_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_5_block_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91272320)))];
            tensor<fp16, [1, 128, ?]> out_7_cast_fp16 = conv_transpose(bias = vae_decoder_model_5_block_1_bias_to_fp16, dilations = out_7_dilations_0, groups = out_7_groups_0, pad = out_7_pad_0, pad_type = out_7_pad_type_0, strides = out_7_strides_0, weight = vae_decoder_model_5_block_1_weight_to_fp16, x = input_47_cast_fp16)[name = string("out_7_cast_fp16")];
            tensor<int32, [3]> x_81_begin_0 = const()[name = string("x_81_begin_0"), val = tensor<int32, [3]>([0, 0, 2])];
            tensor<int32, [3]> x_81_end_0 = const()[name = string("x_81_end_0"), val = tensor<int32, [3]>([1, 128, -2])];
            tensor<bool, [3]> x_81_end_mask_0 = const()[name = string("x_81_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [1, 128, ?]> x_81_cast_fp16 = slice_by_index(begin = x_81_begin_0, end = x_81_end_0, end_mask = x_81_end_mask_0, x = out_7_cast_fp16)[name = string("x_81_cast_fp16")];
            tensor<int32, [3]> var_1917_begin_0 = const()[name = string("op_1917_begin_0"), val = tensor<int32, [3]>([0, 0, -1])];
            tensor<int32, [3]> var_1917_end_0 = const()[name = string("op_1917_end_0"), val = tensor<int32, [3]>([1, 256, 0])];
            tensor<bool, [3]> var_1917_end_mask_0 = const()[name = string("op_1917_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 256, 1]> var_1917_cast_fp16 = slice_by_index(begin = var_1917_begin_0, end = var_1917_end_0, end_mask = var_1917_end_mask_0, x = x_79_cast_fp16)[name = string("op_1917_cast_fp16")];
            string var_1917_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_1917_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            tensor<int32, [3]> var_1921 = const()[name = string("op_1921"), val = tensor<int32, [3]>([6, 18, 54])];
            int32 var_1923_axis_0 = const()[name = string("op_1923_axis_0"), val = int32(-1)];
            string cache_8_to_fp16_dtype_0 = const()[name = string("cache_8_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 128, 78]> cache_8_to_fp16 = cast(dtype = cache_8_to_fp16_dtype_0, x = cache_8)[name = string("cast_12")];
            tensor<fp16, [1, 128, 6]> var_1923_cast_fp16_0, tensor<fp16, [1, 128, 18]> var_1923_cast_fp16_1, tensor<fp16, [1, 128, 54]> var_1923_cast_fp16_2 = split(axis = var_1923_axis_0, split_sizes = var_1921, x = cache_8_to_fp16)[name = string("op_1923_cast_fp16")];
            tensor<fp16, [1, 128, 1]> vae_decoder_model_5_block_2_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_5_block_2_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91272640)))];
            tensor<fp16, [1, 128, ?]> var_1933_cast_fp16 = mul(x = vae_decoder_model_5_block_2_block_0_alpha_to_fp16, y = x_81_cast_fp16)[name = string("op_1933_cast_fp16")];
            tensor<fp16, [1, 128, ?]> var_1934_cast_fp16 = sin(x = var_1933_cast_fp16)[name = string("op_1934_cast_fp16")];
            fp16 var_1927_promoted_to_fp16 = const()[name = string("op_1927_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, ?]> var_1935_cast_fp16 = pow(x = var_1934_cast_fp16, y = var_1927_promoted_to_fp16)[name = string("op_1935_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1932_to_fp16 = const()[name = string("op_1932_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91272960)))];
            tensor<fp16, [1, 128, ?]> var_1936_cast_fp16 = mul(x = var_1932_to_fp16, y = var_1935_cast_fp16)[name = string("op_1936_cast_fp16")];
            tensor<fp16, [1, 128, ?]> x_83_cast_fp16 = add(x = x_81_cast_fp16, y = var_1936_cast_fp16)[name = string("x_83_cast_fp16")];
            int32 var_1939 = const()[name = string("op_1939"), val = int32(-1)];
            bool input_49_interleave_0 = const()[name = string("input_49_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 128, ?]> input_49_cast_fp16 = concat(axis = var_1939, interleave = input_49_interleave_0, values = (var_1923_cast_fp16_0, x_83_cast_fp16))[name = string("input_49_cast_fp16")];
            string x_85_pad_type_0 = const()[name = string("x_85_pad_type_0"), val = string("valid")];
            int32 x_85_groups_0 = const()[name = string("x_85_groups_0"), val = int32(128)];
            tensor<int32, [1]> x_85_strides_0 = const()[name = string("x_85_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_85_pad_0 = const()[name = string("x_85_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_85_dilations_0 = const()[name = string("x_85_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [128, 1, 7]> vae_decoder_model_5_block_2_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_5_block_2_block_1_weight_to_fp16"), val = tensor<fp16, [128, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91273280)))];
            tensor<fp16, [128]> vae_decoder_model_5_block_2_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_5_block_2_block_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91275136)))];
            tensor<fp16, [1, 128, ?]> x_85_cast_fp16 = conv(bias = vae_decoder_model_5_block_2_block_1_bias_to_fp16, dilations = x_85_dilations_0, groups = x_85_groups_0, pad = x_85_pad_0, pad_type = x_85_pad_type_0, strides = x_85_strides_0, weight = vae_decoder_model_5_block_2_block_1_weight_to_fp16, x = input_49_cast_fp16)[name = string("x_85_cast_fp16")];
            tensor<int32, [3]> var_1960_begin_0 = const()[name = string("op_1960_begin_0"), val = tensor<int32, [3]>([0, 0, -6])];
            tensor<int32, [3]> var_1960_end_0 = const()[name = string("op_1960_end_0"), val = tensor<int32, [3]>([1, 128, 0])];
            tensor<bool, [3]> var_1960_end_mask_0 = const()[name = string("op_1960_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 128, ?]> var_1960_cast_fp16 = slice_by_index(begin = var_1960_begin_0, end = var_1960_end_0, end_mask = var_1960_end_mask_0, x = input_49_cast_fp16)[name = string("op_1960_cast_fp16")];
            tensor<fp16, [1, 128, 1]> vae_decoder_model_5_block_2_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_5_block_2_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91275456)))];
            tensor<fp16, [1, 128, ?]> var_1967_cast_fp16 = mul(x = vae_decoder_model_5_block_2_block_2_alpha_to_fp16, y = x_85_cast_fp16)[name = string("op_1967_cast_fp16")];
            tensor<fp16, [1, 128, ?]> var_1968_cast_fp16 = sin(x = var_1967_cast_fp16)[name = string("op_1968_cast_fp16")];
            fp16 var_1961_promoted_to_fp16 = const()[name = string("op_1961_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, ?]> var_1969_cast_fp16 = pow(x = var_1968_cast_fp16, y = var_1961_promoted_to_fp16)[name = string("op_1969_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1966_to_fp16 = const()[name = string("op_1966_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91275776)))];
            tensor<fp16, [1, 128, ?]> var_1970_cast_fp16 = mul(x = var_1966_to_fp16, y = var_1969_cast_fp16)[name = string("op_1970_cast_fp16")];
            tensor<fp16, [1, 128, ?]> input_51_cast_fp16 = add(x = x_85_cast_fp16, y = var_1970_cast_fp16)[name = string("input_51_cast_fp16")];
            string y_19_pad_type_0 = const()[name = string("y_19_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_19_strides_0 = const()[name = string("y_19_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_19_pad_0 = const()[name = string("y_19_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_19_dilations_0 = const()[name = string("y_19_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_19_groups_0 = const()[name = string("y_19_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 1]> vae_decoder_model_5_block_2_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_5_block_2_block_3_weight_to_fp16"), val = tensor<fp16, [128, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91276096)))];
            tensor<fp16, [128]> vae_decoder_model_5_block_2_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_5_block_2_block_3_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91308928)))];
            tensor<fp16, [1, 128, ?]> y_19_cast_fp16 = conv(bias = vae_decoder_model_5_block_2_block_3_bias_to_fp16, dilations = y_19_dilations_0, groups = y_19_groups_0, pad = y_19_pad_0, pad_type = y_19_pad_type_0, strides = y_19_strides_0, weight = vae_decoder_model_5_block_2_block_3_weight_to_fp16, x = input_51_cast_fp16)[name = string("y_19_cast_fp16")];
            tensor<fp16, [1, 128, ?]> x_87_cast_fp16 = add(x = x_81_cast_fp16, y = y_19_cast_fp16)[name = string("x_87_cast_fp16")];
            tensor<fp16, [1, 128, 1]> vae_decoder_model_5_block_3_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_5_block_3_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91309248)))];
            tensor<fp16, [1, 128, ?]> var_1995_cast_fp16 = mul(x = vae_decoder_model_5_block_3_block_0_alpha_to_fp16, y = x_87_cast_fp16)[name = string("op_1995_cast_fp16")];
            tensor<fp16, [1, 128, ?]> var_1996_cast_fp16 = sin(x = var_1995_cast_fp16)[name = string("op_1996_cast_fp16")];
            fp16 var_1989_promoted_to_fp16 = const()[name = string("op_1989_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, ?]> var_1997_cast_fp16 = pow(x = var_1996_cast_fp16, y = var_1989_promoted_to_fp16)[name = string("op_1997_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_1994_to_fp16 = const()[name = string("op_1994_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91309568)))];
            tensor<fp16, [1, 128, ?]> var_1998_cast_fp16 = mul(x = var_1994_to_fp16, y = var_1997_cast_fp16)[name = string("op_1998_cast_fp16")];
            tensor<fp16, [1, 128, ?]> x_89_cast_fp16 = add(x = x_87_cast_fp16, y = var_1998_cast_fp16)[name = string("x_89_cast_fp16")];
            int32 var_2001 = const()[name = string("op_2001"), val = int32(-1)];
            bool input_53_interleave_0 = const()[name = string("input_53_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 128, ?]> input_53_cast_fp16 = concat(axis = var_2001, interleave = input_53_interleave_0, values = (var_1923_cast_fp16_1, x_89_cast_fp16))[name = string("input_53_cast_fp16")];
            string x_91_pad_type_0 = const()[name = string("x_91_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> x_91_dilations_0 = const()[name = string("x_91_dilations_0"), val = tensor<int32, [1]>([3])];
            int32 x_91_groups_0 = const()[name = string("x_91_groups_0"), val = int32(128)];
            tensor<int32, [1]> x_91_strides_0 = const()[name = string("x_91_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_91_pad_0 = const()[name = string("x_91_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<fp16, [128, 1, 7]> vae_decoder_model_5_block_3_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_5_block_3_block_1_weight_to_fp16"), val = tensor<fp16, [128, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91309888)))];
            tensor<fp16, [128]> vae_decoder_model_5_block_3_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_5_block_3_block_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91311744)))];
            tensor<fp16, [1, 128, ?]> x_91_cast_fp16 = conv(bias = vae_decoder_model_5_block_3_block_1_bias_to_fp16, dilations = x_91_dilations_0, groups = x_91_groups_0, pad = x_91_pad_0, pad_type = x_91_pad_type_0, strides = x_91_strides_0, weight = vae_decoder_model_5_block_3_block_1_weight_to_fp16, x = input_53_cast_fp16)[name = string("x_91_cast_fp16")];
            tensor<int32, [3]> var_2022_begin_0 = const()[name = string("op_2022_begin_0"), val = tensor<int32, [3]>([0, 0, -18])];
            tensor<int32, [3]> var_2022_end_0 = const()[name = string("op_2022_end_0"), val = tensor<int32, [3]>([1, 128, 0])];
            tensor<bool, [3]> var_2022_end_mask_0 = const()[name = string("op_2022_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 128, ?]> var_2022_cast_fp16 = slice_by_index(begin = var_2022_begin_0, end = var_2022_end_0, end_mask = var_2022_end_mask_0, x = input_53_cast_fp16)[name = string("op_2022_cast_fp16")];
            tensor<fp16, [1, 128, 1]> vae_decoder_model_5_block_3_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_5_block_3_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91312064)))];
            tensor<fp16, [1, 128, ?]> var_2029_cast_fp16 = mul(x = vae_decoder_model_5_block_3_block_2_alpha_to_fp16, y = x_91_cast_fp16)[name = string("op_2029_cast_fp16")];
            tensor<fp16, [1, 128, ?]> var_2030_cast_fp16 = sin(x = var_2029_cast_fp16)[name = string("op_2030_cast_fp16")];
            fp16 var_2023_promoted_to_fp16 = const()[name = string("op_2023_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, ?]> var_2031_cast_fp16 = pow(x = var_2030_cast_fp16, y = var_2023_promoted_to_fp16)[name = string("op_2031_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_2028_to_fp16 = const()[name = string("op_2028_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91312384)))];
            tensor<fp16, [1, 128, ?]> var_2032_cast_fp16 = mul(x = var_2028_to_fp16, y = var_2031_cast_fp16)[name = string("op_2032_cast_fp16")];
            tensor<fp16, [1, 128, ?]> input_55_cast_fp16 = add(x = x_91_cast_fp16, y = var_2032_cast_fp16)[name = string("input_55_cast_fp16")];
            string y_21_pad_type_0 = const()[name = string("y_21_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_21_strides_0 = const()[name = string("y_21_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_21_pad_0 = const()[name = string("y_21_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_21_dilations_0 = const()[name = string("y_21_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_21_groups_0 = const()[name = string("y_21_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 1]> vae_decoder_model_5_block_3_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_5_block_3_block_3_weight_to_fp16"), val = tensor<fp16, [128, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91312704)))];
            tensor<fp16, [128]> vae_decoder_model_5_block_3_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_5_block_3_block_3_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91345536)))];
            tensor<fp16, [1, 128, ?]> y_21_cast_fp16 = conv(bias = vae_decoder_model_5_block_3_block_3_bias_to_fp16, dilations = y_21_dilations_0, groups = y_21_groups_0, pad = y_21_pad_0, pad_type = y_21_pad_type_0, strides = y_21_strides_0, weight = vae_decoder_model_5_block_3_block_3_weight_to_fp16, x = input_55_cast_fp16)[name = string("y_21_cast_fp16")];
            tensor<fp16, [1, 128, ?]> x_93_cast_fp16 = add(x = x_87_cast_fp16, y = y_21_cast_fp16)[name = string("x_93_cast_fp16")];
            tensor<fp16, [1, 128, 1]> vae_decoder_model_5_block_4_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_5_block_4_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91345856)))];
            tensor<fp16, [1, 128, ?]> var_2057_cast_fp16 = mul(x = vae_decoder_model_5_block_4_block_0_alpha_to_fp16, y = x_93_cast_fp16)[name = string("op_2057_cast_fp16")];
            tensor<fp16, [1, 128, ?]> var_2058_cast_fp16 = sin(x = var_2057_cast_fp16)[name = string("op_2058_cast_fp16")];
            fp16 var_2051_promoted_to_fp16 = const()[name = string("op_2051_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, ?]> var_2059_cast_fp16 = pow(x = var_2058_cast_fp16, y = var_2051_promoted_to_fp16)[name = string("op_2059_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_2056_to_fp16 = const()[name = string("op_2056_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91346176)))];
            tensor<fp16, [1, 128, ?]> var_2060_cast_fp16 = mul(x = var_2056_to_fp16, y = var_2059_cast_fp16)[name = string("op_2060_cast_fp16")];
            tensor<fp16, [1, 128, ?]> x_95_cast_fp16 = add(x = x_93_cast_fp16, y = var_2060_cast_fp16)[name = string("x_95_cast_fp16")];
            int32 var_2063 = const()[name = string("op_2063"), val = int32(-1)];
            bool input_57_interleave_0 = const()[name = string("input_57_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 128, ?]> input_57_cast_fp16 = concat(axis = var_2063, interleave = input_57_interleave_0, values = (var_1923_cast_fp16_2, x_95_cast_fp16))[name = string("input_57_cast_fp16")];
            string x_97_pad_type_0 = const()[name = string("x_97_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> x_97_dilations_0 = const()[name = string("x_97_dilations_0"), val = tensor<int32, [1]>([9])];
            int32 x_97_groups_0 = const()[name = string("x_97_groups_0"), val = int32(128)];
            tensor<int32, [1]> x_97_strides_0 = const()[name = string("x_97_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_97_pad_0 = const()[name = string("x_97_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<fp16, [128, 1, 7]> vae_decoder_model_5_block_4_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_5_block_4_block_1_weight_to_fp16"), val = tensor<fp16, [128, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91346496)))];
            tensor<fp16, [128]> vae_decoder_model_5_block_4_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_5_block_4_block_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91348352)))];
            tensor<fp16, [1, 128, ?]> x_97_cast_fp16 = conv(bias = vae_decoder_model_5_block_4_block_1_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 = vae_decoder_model_5_block_4_block_1_weight_to_fp16, x = input_57_cast_fp16)[name = string("x_97_cast_fp16")];
            tensor<int32, [3]> new_sub_7_begin_0 = const()[name = string("new_sub_7_begin_0"), val = tensor<int32, [3]>([0, 0, -54])];
            tensor<int32, [3]> new_sub_7_end_0 = const()[name = string("new_sub_7_end_0"), val = tensor<int32, [3]>([1, 128, 0])];
            tensor<bool, [3]> new_sub_7_end_mask_0 = const()[name = string("new_sub_7_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 128, ?]> new_sub_7_cast_fp16 = slice_by_index(begin = new_sub_7_begin_0, end = new_sub_7_end_0, end_mask = new_sub_7_end_mask_0, x = input_57_cast_fp16)[name = string("new_sub_7_cast_fp16")];
            tensor<fp16, [1, 128, 1]> vae_decoder_model_5_block_4_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_5_block_4_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91348672)))];
            tensor<fp16, [1, 128, ?]> var_2091_cast_fp16 = mul(x = vae_decoder_model_5_block_4_block_2_alpha_to_fp16, y = x_97_cast_fp16)[name = string("op_2091_cast_fp16")];
            tensor<fp16, [1, 128, ?]> var_2092_cast_fp16 = sin(x = var_2091_cast_fp16)[name = string("op_2092_cast_fp16")];
            fp16 var_2085_promoted_to_fp16 = const()[name = string("op_2085_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, ?]> var_2093_cast_fp16 = pow(x = var_2092_cast_fp16, y = var_2085_promoted_to_fp16)[name = string("op_2093_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_2090_to_fp16 = const()[name = string("op_2090_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91348992)))];
            tensor<fp16, [1, 128, ?]> var_2094_cast_fp16 = mul(x = var_2090_to_fp16, y = var_2093_cast_fp16)[name = string("op_2094_cast_fp16")];
            tensor<fp16, [1, 128, ?]> input_59_cast_fp16 = add(x = x_97_cast_fp16, y = var_2094_cast_fp16)[name = string("input_59_cast_fp16")];
            string y_23_pad_type_0 = const()[name = string("y_23_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_23_strides_0 = const()[name = string("y_23_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_23_pad_0 = const()[name = string("y_23_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_23_dilations_0 = const()[name = string("y_23_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_23_groups_0 = const()[name = string("y_23_groups_0"), val = int32(1)];
            tensor<fp16, [128, 128, 1]> vae_decoder_model_5_block_4_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_5_block_4_block_3_weight_to_fp16"), val = tensor<fp16, [128, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91349312)))];
            tensor<fp16, [128]> vae_decoder_model_5_block_4_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_5_block_4_block_3_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91382144)))];
            tensor<fp16, [1, 128, ?]> y_23_cast_fp16 = conv(bias = vae_decoder_model_5_block_4_block_3_bias_to_fp16, dilations = y_23_dilations_0, groups = y_23_groups_0, pad = y_23_pad_0, pad_type = y_23_pad_type_0, strides = y_23_strides_0, weight = vae_decoder_model_5_block_4_block_3_weight_to_fp16, x = input_59_cast_fp16)[name = string("y_23_cast_fp16")];
            tensor<fp16, [1, 128, ?]> x_99_cast_fp16 = add(x = x_93_cast_fp16, y = y_23_cast_fp16)[name = string("x_99_cast_fp16")];
            int32 var_2114 = const()[name = string("op_2114"), val = int32(-1)];
            bool var_2115_interleave_0 = const()[name = string("op_2115_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 128, ?]> var_2115_cast_fp16 = concat(axis = var_2114, interleave = var_2115_interleave_0, values = (var_1960_cast_fp16, var_2022_cast_fp16, new_sub_7_cast_fp16))[name = string("op_2115_cast_fp16")];
            string var_2115_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_2115_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            tensor<fp16, [1, 128, 1]> sr_scale_6_to_fp16 = const()[name = string("sr_scale_6_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91382464)))];
            tensor<fp16, [1, 128, ?]> var_2116_cast_fp16 = mul(x = x_99_cast_fp16, y = sr_scale_6_to_fp16)[name = string("op_2116_cast_fp16")];
            tensor<fp16, [1, 128, 1]> sr_bias_6_to_fp16 = const()[name = string("sr_bias_6_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91382784)))];
            tensor<fp16, [1, 128, ?]> x_101_cast_fp16 = add(x = var_2116_cast_fp16, y = sr_bias_6_to_fp16)[name = string("x_101_cast_fp16")];
            tensor<fp16, [1, 128, 1]> vae_decoder_model_6_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_6_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91383104)))];
            tensor<fp16, [1, 128, ?]> var_2125_cast_fp16 = mul(x = vae_decoder_model_6_block_0_alpha_to_fp16, y = x_101_cast_fp16)[name = string("op_2125_cast_fp16")];
            tensor<fp16, [1, 128, ?]> var_2126_cast_fp16 = sin(x = var_2125_cast_fp16)[name = string("op_2126_cast_fp16")];
            fp16 var_2119_promoted_to_fp16 = const()[name = string("op_2119_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 128, ?]> var_2127_cast_fp16 = pow(x = var_2126_cast_fp16, y = var_2119_promoted_to_fp16)[name = string("op_2127_cast_fp16")];
            tensor<fp16, [1, 128, 1]> var_2124_to_fp16 = const()[name = string("op_2124_to_fp16"), val = tensor<fp16, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91383424)))];
            tensor<fp16, [1, 128, ?]> var_2128_cast_fp16 = mul(x = var_2124_to_fp16, y = var_2127_cast_fp16)[name = string("op_2128_cast_fp16")];
            tensor<fp16, [1, 128, ?]> x_103_cast_fp16 = add(x = x_101_cast_fp16, y = var_2128_cast_fp16)[name = string("x_103_cast_fp16")];
            int32 var_2131 = const()[name = string("op_2131"), val = int32(-1)];
            bool input_61_interleave_0 = const()[name = string("input_61_interleave_0"), val = bool(false)];
            string cache_9_to_fp16_dtype_0 = const()[name = string("cache_9_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 128, 1]> cache_9_to_fp16 = cast(dtype = cache_9_to_fp16_dtype_0, x = cache_9)[name = string("cast_10")];
            tensor<fp16, [1, 128, ?]> input_61_cast_fp16 = concat(axis = var_2131, interleave = input_61_interleave_0, values = (cache_9_to_fp16, x_103_cast_fp16))[name = string("input_61_cast_fp16")];
            string out_9_pad_type_0 = const()[name = string("out_9_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> out_9_strides_0 = const()[name = string("out_9_strides_0"), val = tensor<int32, [1]>([2])];
            tensor<int32, [2]> out_9_pad_0 = const()[name = string("out_9_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> out_9_dilations_0 = const()[name = string("out_9_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 out_9_groups_0 = const()[name = string("out_9_groups_0"), val = int32(1)];
            tensor<fp16, [128, 64, 4]> vae_decoder_model_6_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_6_block_1_weight_to_fp16"), val = tensor<fp16, [128, 64, 4]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91383744)))];
            tensor<fp16, [64]> vae_decoder_model_6_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_6_block_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91449344)))];
            tensor<fp16, [1, 64, ?]> out_9_cast_fp16 = conv_transpose(bias = vae_decoder_model_6_block_1_bias_to_fp16, dilations = out_9_dilations_0, groups = out_9_groups_0, pad = out_9_pad_0, pad_type = out_9_pad_type_0, strides = out_9_strides_0, weight = vae_decoder_model_6_block_1_weight_to_fp16, x = input_61_cast_fp16)[name = string("out_9_cast_fp16")];
            tensor<int32, [3]> x_105_begin_0 = const()[name = string("x_105_begin_0"), val = tensor<int32, [3]>([0, 0, 2])];
            tensor<int32, [3]> x_105_end_0 = const()[name = string("x_105_end_0"), val = tensor<int32, [3]>([1, 64, -2])];
            tensor<bool, [3]> x_105_end_mask_0 = const()[name = string("x_105_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [1, 64, ?]> x_105_cast_fp16 = slice_by_index(begin = x_105_begin_0, end = x_105_end_0, end_mask = x_105_end_mask_0, x = out_9_cast_fp16)[name = string("x_105_cast_fp16")];
            tensor<int32, [3]> var_2157_begin_0 = const()[name = string("op_2157_begin_0"), val = tensor<int32, [3]>([0, 0, -1])];
            tensor<int32, [3]> var_2157_end_0 = const()[name = string("op_2157_end_0"), val = tensor<int32, [3]>([1, 128, 0])];
            tensor<bool, [3]> var_2157_end_mask_0 = const()[name = string("op_2157_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 128, 1]> var_2157_cast_fp16 = slice_by_index(begin = var_2157_begin_0, end = var_2157_end_0, end_mask = var_2157_end_mask_0, x = x_103_cast_fp16)[name = string("op_2157_cast_fp16")];
            string var_2157_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_2157_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            tensor<int32, [3]> var_2161 = const()[name = string("op_2161"), val = tensor<int32, [3]>([6, 18, 54])];
            int32 var_2163_axis_0 = const()[name = string("op_2163_axis_0"), val = int32(-1)];
            string cache_10_to_fp16_dtype_0 = const()[name = string("cache_10_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 64, 78]> cache_10_to_fp16 = cast(dtype = cache_10_to_fp16_dtype_0, x = cache_10)[name = string("cast_8")];
            tensor<fp16, [1, 64, 6]> var_2163_cast_fp16_0, tensor<fp16, [1, 64, 18]> var_2163_cast_fp16_1, tensor<fp16, [1, 64, 54]> var_2163_cast_fp16_2 = split(axis = var_2163_axis_0, split_sizes = var_2161, x = cache_10_to_fp16)[name = string("op_2163_cast_fp16")];
            tensor<fp16, [1, 64, 1]> vae_decoder_model_6_block_2_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_6_block_2_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91449536)))];
            tensor<fp16, [1, 64, ?]> var_2173_cast_fp16 = mul(x = vae_decoder_model_6_block_2_block_0_alpha_to_fp16, y = x_105_cast_fp16)[name = string("op_2173_cast_fp16")];
            tensor<fp16, [1, 64, ?]> var_2174_cast_fp16 = sin(x = var_2173_cast_fp16)[name = string("op_2174_cast_fp16")];
            fp16 var_2167_promoted_to_fp16 = const()[name = string("op_2167_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, ?]> var_2175_cast_fp16 = pow(x = var_2174_cast_fp16, y = var_2167_promoted_to_fp16)[name = string("op_2175_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2172_to_fp16 = const()[name = string("op_2172_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91449728)))];
            tensor<fp16, [1, 64, ?]> var_2176_cast_fp16 = mul(x = var_2172_to_fp16, y = var_2175_cast_fp16)[name = string("op_2176_cast_fp16")];
            tensor<fp16, [1, 64, ?]> x_107_cast_fp16 = add(x = x_105_cast_fp16, y = var_2176_cast_fp16)[name = string("x_107_cast_fp16")];
            int32 var_2179 = const()[name = string("op_2179"), val = int32(-1)];
            bool input_63_interleave_0 = const()[name = string("input_63_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 64, ?]> input_63_cast_fp16 = concat(axis = var_2179, interleave = input_63_interleave_0, values = (var_2163_cast_fp16_0, x_107_cast_fp16))[name = string("input_63_cast_fp16")];
            string x_109_pad_type_0 = const()[name = string("x_109_pad_type_0"), val = string("valid")];
            int32 x_109_groups_0 = const()[name = string("x_109_groups_0"), val = int32(64)];
            tensor<int32, [1]> x_109_strides_0 = const()[name = string("x_109_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_109_pad_0 = const()[name = string("x_109_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_109_dilations_0 = const()[name = string("x_109_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [64, 1, 7]> vae_decoder_model_6_block_2_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_6_block_2_block_1_weight_to_fp16"), val = tensor<fp16, [64, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91449920)))];
            tensor<fp16, [64]> vae_decoder_model_6_block_2_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_6_block_2_block_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91450880)))];
            tensor<fp16, [1, 64, ?]> x_109_cast_fp16 = conv(bias = vae_decoder_model_6_block_2_block_1_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 = vae_decoder_model_6_block_2_block_1_weight_to_fp16, x = input_63_cast_fp16)[name = string("x_109_cast_fp16")];
            tensor<int32, [3]> var_2200_begin_0 = const()[name = string("op_2200_begin_0"), val = tensor<int32, [3]>([0, 0, -6])];
            tensor<int32, [3]> var_2200_end_0 = const()[name = string("op_2200_end_0"), val = tensor<int32, [3]>([1, 64, 0])];
            tensor<bool, [3]> var_2200_end_mask_0 = const()[name = string("op_2200_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 64, ?]> var_2200_cast_fp16 = slice_by_index(begin = var_2200_begin_0, end = var_2200_end_0, end_mask = var_2200_end_mask_0, x = input_63_cast_fp16)[name = string("op_2200_cast_fp16")];
            tensor<fp16, [1, 64, 1]> vae_decoder_model_6_block_2_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_6_block_2_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91451072)))];
            tensor<fp16, [1, 64, ?]> var_2207_cast_fp16 = mul(x = vae_decoder_model_6_block_2_block_2_alpha_to_fp16, y = x_109_cast_fp16)[name = string("op_2207_cast_fp16")];
            tensor<fp16, [1, 64, ?]> var_2208_cast_fp16 = sin(x = var_2207_cast_fp16)[name = string("op_2208_cast_fp16")];
            fp16 var_2201_promoted_to_fp16 = const()[name = string("op_2201_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, ?]> var_2209_cast_fp16 = pow(x = var_2208_cast_fp16, y = var_2201_promoted_to_fp16)[name = string("op_2209_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2206_to_fp16 = const()[name = string("op_2206_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91451264)))];
            tensor<fp16, [1, 64, ?]> var_2210_cast_fp16 = mul(x = var_2206_to_fp16, y = var_2209_cast_fp16)[name = string("op_2210_cast_fp16")];
            tensor<fp16, [1, 64, ?]> input_65_cast_fp16 = add(x = x_109_cast_fp16, y = var_2210_cast_fp16)[name = string("input_65_cast_fp16")];
            string y_25_pad_type_0 = const()[name = string("y_25_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_25_strides_0 = const()[name = string("y_25_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_25_pad_0 = const()[name = string("y_25_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_25_dilations_0 = const()[name = string("y_25_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_25_groups_0 = const()[name = string("y_25_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 1]> vae_decoder_model_6_block_2_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_6_block_2_block_3_weight_to_fp16"), val = tensor<fp16, [64, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91451456)))];
            tensor<fp16, [64]> vae_decoder_model_6_block_2_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_6_block_2_block_3_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91459712)))];
            tensor<fp16, [1, 64, ?]> y_25_cast_fp16 = conv(bias = vae_decoder_model_6_block_2_block_3_bias_to_fp16, dilations = y_25_dilations_0, groups = y_25_groups_0, pad = y_25_pad_0, pad_type = y_25_pad_type_0, strides = y_25_strides_0, weight = vae_decoder_model_6_block_2_block_3_weight_to_fp16, x = input_65_cast_fp16)[name = string("y_25_cast_fp16")];
            tensor<fp16, [1, 64, ?]> x_111_cast_fp16 = add(x = x_105_cast_fp16, y = y_25_cast_fp16)[name = string("x_111_cast_fp16")];
            tensor<fp16, [1, 64, 1]> vae_decoder_model_6_block_3_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_6_block_3_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91459904)))];
            tensor<fp16, [1, 64, ?]> var_2235_cast_fp16 = mul(x = vae_decoder_model_6_block_3_block_0_alpha_to_fp16, y = x_111_cast_fp16)[name = string("op_2235_cast_fp16")];
            tensor<fp16, [1, 64, ?]> var_2236_cast_fp16 = sin(x = var_2235_cast_fp16)[name = string("op_2236_cast_fp16")];
            fp16 var_2229_promoted_to_fp16 = const()[name = string("op_2229_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, ?]> var_2237_cast_fp16 = pow(x = var_2236_cast_fp16, y = var_2229_promoted_to_fp16)[name = string("op_2237_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2234_to_fp16 = const()[name = string("op_2234_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91460096)))];
            tensor<fp16, [1, 64, ?]> var_2238_cast_fp16 = mul(x = var_2234_to_fp16, y = var_2237_cast_fp16)[name = string("op_2238_cast_fp16")];
            tensor<fp16, [1, 64, ?]> x_113_cast_fp16 = add(x = x_111_cast_fp16, y = var_2238_cast_fp16)[name = string("x_113_cast_fp16")];
            int32 var_2241 = const()[name = string("op_2241"), val = int32(-1)];
            bool input_67_interleave_0 = const()[name = string("input_67_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 64, ?]> input_67_cast_fp16 = concat(axis = var_2241, interleave = input_67_interleave_0, values = (var_2163_cast_fp16_1, x_113_cast_fp16))[name = string("input_67_cast_fp16")];
            string x_115_pad_type_0 = const()[name = string("x_115_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> x_115_dilations_0 = const()[name = string("x_115_dilations_0"), val = tensor<int32, [1]>([3])];
            int32 x_115_groups_0 = const()[name = string("x_115_groups_0"), val = int32(64)];
            tensor<int32, [1]> x_115_strides_0 = const()[name = string("x_115_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_115_pad_0 = const()[name = string("x_115_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<fp16, [64, 1, 7]> vae_decoder_model_6_block_3_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_6_block_3_block_1_weight_to_fp16"), val = tensor<fp16, [64, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91460288)))];
            tensor<fp16, [64]> vae_decoder_model_6_block_3_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_6_block_3_block_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91461248)))];
            tensor<fp16, [1, 64, ?]> x_115_cast_fp16 = conv(bias = vae_decoder_model_6_block_3_block_1_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 = vae_decoder_model_6_block_3_block_1_weight_to_fp16, x = input_67_cast_fp16)[name = string("x_115_cast_fp16")];
            tensor<int32, [3]> var_2262_begin_0 = const()[name = string("op_2262_begin_0"), val = tensor<int32, [3]>([0, 0, -18])];
            tensor<int32, [3]> var_2262_end_0 = const()[name = string("op_2262_end_0"), val = tensor<int32, [3]>([1, 64, 0])];
            tensor<bool, [3]> var_2262_end_mask_0 = const()[name = string("op_2262_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 64, ?]> var_2262_cast_fp16 = slice_by_index(begin = var_2262_begin_0, end = var_2262_end_0, end_mask = var_2262_end_mask_0, x = input_67_cast_fp16)[name = string("op_2262_cast_fp16")];
            tensor<fp16, [1, 64, 1]> vae_decoder_model_6_block_3_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_6_block_3_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91461440)))];
            tensor<fp16, [1, 64, ?]> var_2269_cast_fp16 = mul(x = vae_decoder_model_6_block_3_block_2_alpha_to_fp16, y = x_115_cast_fp16)[name = string("op_2269_cast_fp16")];
            tensor<fp16, [1, 64, ?]> var_2270_cast_fp16 = sin(x = var_2269_cast_fp16)[name = string("op_2270_cast_fp16")];
            fp16 var_2263_promoted_to_fp16 = const()[name = string("op_2263_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, ?]> var_2271_cast_fp16 = pow(x = var_2270_cast_fp16, y = var_2263_promoted_to_fp16)[name = string("op_2271_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2268_to_fp16 = const()[name = string("op_2268_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91461632)))];
            tensor<fp16, [1, 64, ?]> var_2272_cast_fp16 = mul(x = var_2268_to_fp16, y = var_2271_cast_fp16)[name = string("op_2272_cast_fp16")];
            tensor<fp16, [1, 64, ?]> input_69_cast_fp16 = add(x = x_115_cast_fp16, y = var_2272_cast_fp16)[name = string("input_69_cast_fp16")];
            string y_27_pad_type_0 = const()[name = string("y_27_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_27_strides_0 = const()[name = string("y_27_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_27_pad_0 = const()[name = string("y_27_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_27_dilations_0 = const()[name = string("y_27_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_27_groups_0 = const()[name = string("y_27_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 1]> vae_decoder_model_6_block_3_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_6_block_3_block_3_weight_to_fp16"), val = tensor<fp16, [64, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91461824)))];
            tensor<fp16, [64]> vae_decoder_model_6_block_3_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_6_block_3_block_3_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91470080)))];
            tensor<fp16, [1, 64, ?]> y_27_cast_fp16 = conv(bias = vae_decoder_model_6_block_3_block_3_bias_to_fp16, dilations = y_27_dilations_0, groups = y_27_groups_0, pad = y_27_pad_0, pad_type = y_27_pad_type_0, strides = y_27_strides_0, weight = vae_decoder_model_6_block_3_block_3_weight_to_fp16, x = input_69_cast_fp16)[name = string("y_27_cast_fp16")];
            tensor<fp16, [1, 64, ?]> x_117_cast_fp16 = add(x = x_111_cast_fp16, y = y_27_cast_fp16)[name = string("x_117_cast_fp16")];
            tensor<fp16, [1, 64, 1]> vae_decoder_model_6_block_4_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_6_block_4_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91470272)))];
            tensor<fp16, [1, 64, ?]> var_2297_cast_fp16 = mul(x = vae_decoder_model_6_block_4_block_0_alpha_to_fp16, y = x_117_cast_fp16)[name = string("op_2297_cast_fp16")];
            tensor<fp16, [1, 64, ?]> var_2298_cast_fp16 = sin(x = var_2297_cast_fp16)[name = string("op_2298_cast_fp16")];
            fp16 var_2291_promoted_to_fp16 = const()[name = string("op_2291_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, ?]> var_2299_cast_fp16 = pow(x = var_2298_cast_fp16, y = var_2291_promoted_to_fp16)[name = string("op_2299_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2296_to_fp16 = const()[name = string("op_2296_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91470464)))];
            tensor<fp16, [1, 64, ?]> var_2300_cast_fp16 = mul(x = var_2296_to_fp16, y = var_2299_cast_fp16)[name = string("op_2300_cast_fp16")];
            tensor<fp16, [1, 64, ?]> x_119_cast_fp16 = add(x = x_117_cast_fp16, y = var_2300_cast_fp16)[name = string("x_119_cast_fp16")];
            int32 var_2303 = const()[name = string("op_2303"), val = int32(-1)];
            bool input_71_interleave_0 = const()[name = string("input_71_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 64, ?]> input_71_cast_fp16 = concat(axis = var_2303, interleave = input_71_interleave_0, values = (var_2163_cast_fp16_2, x_119_cast_fp16))[name = string("input_71_cast_fp16")];
            string x_121_pad_type_0 = const()[name = string("x_121_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> x_121_dilations_0 = const()[name = string("x_121_dilations_0"), val = tensor<int32, [1]>([9])];
            int32 x_121_groups_0 = const()[name = string("x_121_groups_0"), val = int32(64)];
            tensor<int32, [1]> x_121_strides_0 = const()[name = string("x_121_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_121_pad_0 = const()[name = string("x_121_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<fp16, [64, 1, 7]> vae_decoder_model_6_block_4_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_6_block_4_block_1_weight_to_fp16"), val = tensor<fp16, [64, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91470656)))];
            tensor<fp16, [64]> vae_decoder_model_6_block_4_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_6_block_4_block_1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91471616)))];
            tensor<fp16, [1, 64, ?]> x_121_cast_fp16 = conv(bias = vae_decoder_model_6_block_4_block_1_bias_to_fp16, dilations = x_121_dilations_0, groups = x_121_groups_0, pad = x_121_pad_0, pad_type = x_121_pad_type_0, strides = x_121_strides_0, weight = vae_decoder_model_6_block_4_block_1_weight_to_fp16, x = input_71_cast_fp16)[name = string("x_121_cast_fp16")];
            tensor<int32, [3]> new_sub_9_begin_0 = const()[name = string("new_sub_9_begin_0"), val = tensor<int32, [3]>([0, 0, -54])];
            tensor<int32, [3]> new_sub_9_end_0 = const()[name = string("new_sub_9_end_0"), val = tensor<int32, [3]>([1, 64, 0])];
            tensor<bool, [3]> new_sub_9_end_mask_0 = const()[name = string("new_sub_9_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 64, ?]> new_sub_9_cast_fp16 = slice_by_index(begin = new_sub_9_begin_0, end = new_sub_9_end_0, end_mask = new_sub_9_end_mask_0, x = input_71_cast_fp16)[name = string("new_sub_9_cast_fp16")];
            tensor<fp16, [1, 64, 1]> vae_decoder_model_6_block_4_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_6_block_4_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91471808)))];
            tensor<fp16, [1, 64, ?]> var_2331_cast_fp16 = mul(x = vae_decoder_model_6_block_4_block_2_alpha_to_fp16, y = x_121_cast_fp16)[name = string("op_2331_cast_fp16")];
            tensor<fp16, [1, 64, ?]> var_2332_cast_fp16 = sin(x = var_2331_cast_fp16)[name = string("op_2332_cast_fp16")];
            fp16 var_2325_promoted_to_fp16 = const()[name = string("op_2325_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, ?]> var_2333_cast_fp16 = pow(x = var_2332_cast_fp16, y = var_2325_promoted_to_fp16)[name = string("op_2333_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2330_to_fp16 = const()[name = string("op_2330_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91472000)))];
            tensor<fp16, [1, 64, ?]> var_2334_cast_fp16 = mul(x = var_2330_to_fp16, y = var_2333_cast_fp16)[name = string("op_2334_cast_fp16")];
            tensor<fp16, [1, 64, ?]> input_73_cast_fp16 = add(x = x_121_cast_fp16, y = var_2334_cast_fp16)[name = string("input_73_cast_fp16")];
            string y_29_pad_type_0 = const()[name = string("y_29_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_29_strides_0 = const()[name = string("y_29_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_29_pad_0 = const()[name = string("y_29_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_29_dilations_0 = const()[name = string("y_29_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_29_groups_0 = const()[name = string("y_29_groups_0"), val = int32(1)];
            tensor<fp16, [64, 64, 1]> vae_decoder_model_6_block_4_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_6_block_4_block_3_weight_to_fp16"), val = tensor<fp16, [64, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91472192)))];
            tensor<fp16, [64]> vae_decoder_model_6_block_4_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_6_block_4_block_3_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91480448)))];
            tensor<fp16, [1, 64, ?]> y_29_cast_fp16 = conv(bias = vae_decoder_model_6_block_4_block_3_bias_to_fp16, dilations = y_29_dilations_0, groups = y_29_groups_0, pad = y_29_pad_0, pad_type = y_29_pad_type_0, strides = y_29_strides_0, weight = vae_decoder_model_6_block_4_block_3_weight_to_fp16, x = input_73_cast_fp16)[name = string("y_29_cast_fp16")];
            tensor<fp16, [1, 64, ?]> x_123_cast_fp16 = add(x = x_117_cast_fp16, y = y_29_cast_fp16)[name = string("x_123_cast_fp16")];
            int32 var_2354 = const()[name = string("op_2354"), val = int32(-1)];
            bool var_2355_interleave_0 = const()[name = string("op_2355_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 64, ?]> var_2355_cast_fp16 = concat(axis = var_2354, interleave = var_2355_interleave_0, values = (var_2200_cast_fp16, var_2262_cast_fp16, new_sub_9_cast_fp16))[name = string("op_2355_cast_fp16")];
            string var_2355_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_2355_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            tensor<fp16, [1, 64, 1]> sr_scale_7_to_fp16 = const()[name = string("sr_scale_7_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91480640)))];
            tensor<fp16, [1, 64, ?]> var_2356_cast_fp16 = mul(x = x_123_cast_fp16, y = sr_scale_7_to_fp16)[name = string("op_2356_cast_fp16")];
            tensor<fp16, [1, 64, 1]> sr_bias_7_to_fp16 = const()[name = string("sr_bias_7_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91480832)))];
            tensor<fp16, [1, 64, ?]> x_125_cast_fp16 = add(x = var_2356_cast_fp16, y = sr_bias_7_to_fp16)[name = string("x_125_cast_fp16")];
            tensor<fp16, [1, 64, 1]> vae_decoder_model_7_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_7_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91481024)))];
            tensor<fp16, [1, 64, ?]> var_2365_cast_fp16 = mul(x = vae_decoder_model_7_block_0_alpha_to_fp16, y = x_125_cast_fp16)[name = string("op_2365_cast_fp16")];
            tensor<fp16, [1, 64, ?]> var_2366_cast_fp16 = sin(x = var_2365_cast_fp16)[name = string("op_2366_cast_fp16")];
            fp16 var_2359_promoted_to_fp16 = const()[name = string("op_2359_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 64, ?]> var_2367_cast_fp16 = pow(x = var_2366_cast_fp16, y = var_2359_promoted_to_fp16)[name = string("op_2367_cast_fp16")];
            tensor<fp16, [1, 64, 1]> var_2364_to_fp16 = const()[name = string("op_2364_to_fp16"), val = tensor<fp16, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91481216)))];
            tensor<fp16, [1, 64, ?]> var_2368_cast_fp16 = mul(x = var_2364_to_fp16, y = var_2367_cast_fp16)[name = string("op_2368_cast_fp16")];
            tensor<fp16, [1, 64, ?]> x_127_cast_fp16 = add(x = x_125_cast_fp16, y = var_2368_cast_fp16)[name = string("x_127_cast_fp16")];
            int32 var_2371 = const()[name = string("op_2371"), val = int32(-1)];
            bool input_75_interleave_0 = const()[name = string("input_75_interleave_0"), val = bool(false)];
            string cache_11_to_fp16_dtype_0 = const()[name = string("cache_11_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 64, 1]> cache_11_to_fp16 = cast(dtype = cache_11_to_fp16_dtype_0, x = cache_11)[name = string("cast_6")];
            tensor<fp16, [1, 64, ?]> input_75_cast_fp16 = concat(axis = var_2371, interleave = input_75_interleave_0, values = (cache_11_to_fp16, x_127_cast_fp16))[name = string("input_75_cast_fp16")];
            string out_pad_type_0 = const()[name = string("out_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> out_strides_0 = const()[name = string("out_strides_0"), val = tensor<int32, [1]>([2])];
            tensor<int32, [2]> out_pad_0 = const()[name = string("out_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> out_dilations_0 = const()[name = string("out_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 out_groups_0 = const()[name = string("out_groups_0"), val = int32(1)];
            tensor<fp16, [64, 32, 4]> vae_decoder_model_7_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_7_block_1_weight_to_fp16"), val = tensor<fp16, [64, 32, 4]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91481408)))];
            tensor<fp16, [32]> vae_decoder_model_7_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_7_block_1_bias_to_fp16"), val = tensor<fp16, [32]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91497856)))];
            tensor<fp16, [1, 32, ?]> out_cast_fp16 = conv_transpose(bias = vae_decoder_model_7_block_1_bias_to_fp16, dilations = out_dilations_0, groups = out_groups_0, pad = out_pad_0, pad_type = out_pad_type_0, strides = out_strides_0, weight = vae_decoder_model_7_block_1_weight_to_fp16, x = input_75_cast_fp16)[name = string("out_cast_fp16")];
            tensor<int32, [3]> x_129_begin_0 = const()[name = string("x_129_begin_0"), val = tensor<int32, [3]>([0, 0, 2])];
            tensor<int32, [3]> x_129_end_0 = const()[name = string("x_129_end_0"), val = tensor<int32, [3]>([1, 32, -2])];
            tensor<bool, [3]> x_129_end_mask_0 = const()[name = string("x_129_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [1, 32, ?]> x_129_cast_fp16 = slice_by_index(begin = x_129_begin_0, end = x_129_end_0, end_mask = x_129_end_mask_0, x = out_cast_fp16)[name = string("x_129_cast_fp16")];
            tensor<int32, [3]> var_2397_begin_0 = const()[name = string("op_2397_begin_0"), val = tensor<int32, [3]>([0, 0, -1])];
            tensor<int32, [3]> var_2397_end_0 = const()[name = string("op_2397_end_0"), val = tensor<int32, [3]>([1, 64, 0])];
            tensor<bool, [3]> var_2397_end_mask_0 = const()[name = string("op_2397_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 64, 1]> var_2397_cast_fp16 = slice_by_index(begin = var_2397_begin_0, end = var_2397_end_0, end_mask = var_2397_end_mask_0, x = x_127_cast_fp16)[name = string("op_2397_cast_fp16")];
            string var_2397_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_2397_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            tensor<int32, [3]> var_2401 = const()[name = string("op_2401"), val = tensor<int32, [3]>([6, 18, 54])];
            int32 var_2403_axis_0 = const()[name = string("op_2403_axis_0"), val = int32(-1)];
            string cache_12_to_fp16_dtype_0 = const()[name = string("cache_12_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 32, 78]> cache_12_to_fp16 = cast(dtype = cache_12_to_fp16_dtype_0, x = cache_12)[name = string("cast_4")];
            tensor<fp16, [1, 32, 6]> var_2403_cast_fp16_0, tensor<fp16, [1, 32, 18]> var_2403_cast_fp16_1, tensor<fp16, [1, 32, 54]> var_2403_cast_fp16_2 = split(axis = var_2403_axis_0, split_sizes = var_2401, x = cache_12_to_fp16)[name = string("op_2403_cast_fp16")];
            tensor<fp16, [1, 32, 1]> vae_decoder_model_7_block_2_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_7_block_2_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91497984)))];
            tensor<fp16, [1, 32, ?]> var_2413_cast_fp16 = mul(x = vae_decoder_model_7_block_2_block_0_alpha_to_fp16, y = x_129_cast_fp16)[name = string("op_2413_cast_fp16")];
            tensor<fp16, [1, 32, ?]> var_2414_cast_fp16 = sin(x = var_2413_cast_fp16)[name = string("op_2414_cast_fp16")];
            fp16 var_2407_promoted_to_fp16 = const()[name = string("op_2407_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 32, ?]> var_2415_cast_fp16 = pow(x = var_2414_cast_fp16, y = var_2407_promoted_to_fp16)[name = string("op_2415_cast_fp16")];
            tensor<fp16, [1, 32, 1]> var_2412_to_fp16 = const()[name = string("op_2412_to_fp16"), val = tensor<fp16, [1, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91498112)))];
            tensor<fp16, [1, 32, ?]> var_2416_cast_fp16 = mul(x = var_2412_to_fp16, y = var_2415_cast_fp16)[name = string("op_2416_cast_fp16")];
            tensor<fp16, [1, 32, ?]> x_131_cast_fp16 = add(x = x_129_cast_fp16, y = var_2416_cast_fp16)[name = string("x_131_cast_fp16")];
            int32 var_2419 = const()[name = string("op_2419"), val = int32(-1)];
            bool input_77_interleave_0 = const()[name = string("input_77_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 32, ?]> input_77_cast_fp16 = concat(axis = var_2419, interleave = input_77_interleave_0, values = (var_2403_cast_fp16_0, x_131_cast_fp16))[name = string("input_77_cast_fp16")];
            string x_133_pad_type_0 = const()[name = string("x_133_pad_type_0"), val = string("valid")];
            int32 x_133_groups_0 = const()[name = string("x_133_groups_0"), val = int32(32)];
            tensor<int32, [1]> x_133_strides_0 = const()[name = string("x_133_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_133_pad_0 = const()[name = string("x_133_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> x_133_dilations_0 = const()[name = string("x_133_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [32, 1, 7]> vae_decoder_model_7_block_2_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_7_block_2_block_1_weight_to_fp16"), val = tensor<fp16, [32, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91498240)))];
            tensor<fp16, [32]> vae_decoder_model_7_block_2_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_7_block_2_block_1_bias_to_fp16"), val = tensor<fp16, [32]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91498752)))];
            tensor<fp16, [1, 32, ?]> x_133_cast_fp16 = conv(bias = vae_decoder_model_7_block_2_block_1_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 = vae_decoder_model_7_block_2_block_1_weight_to_fp16, x = input_77_cast_fp16)[name = string("x_133_cast_fp16")];
            tensor<int32, [3]> var_2440_begin_0 = const()[name = string("op_2440_begin_0"), val = tensor<int32, [3]>([0, 0, -6])];
            tensor<int32, [3]> var_2440_end_0 = const()[name = string("op_2440_end_0"), val = tensor<int32, [3]>([1, 32, 0])];
            tensor<bool, [3]> var_2440_end_mask_0 = const()[name = string("op_2440_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 32, ?]> var_2440_cast_fp16 = slice_by_index(begin = var_2440_begin_0, end = var_2440_end_0, end_mask = var_2440_end_mask_0, x = input_77_cast_fp16)[name = string("op_2440_cast_fp16")];
            tensor<fp16, [1, 32, 1]> vae_decoder_model_7_block_2_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_7_block_2_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91498880)))];
            tensor<fp16, [1, 32, ?]> var_2447_cast_fp16 = mul(x = vae_decoder_model_7_block_2_block_2_alpha_to_fp16, y = x_133_cast_fp16)[name = string("op_2447_cast_fp16")];
            tensor<fp16, [1, 32, ?]> var_2448_cast_fp16 = sin(x = var_2447_cast_fp16)[name = string("op_2448_cast_fp16")];
            fp16 var_2441_promoted_to_fp16 = const()[name = string("op_2441_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 32, ?]> var_2449_cast_fp16 = pow(x = var_2448_cast_fp16, y = var_2441_promoted_to_fp16)[name = string("op_2449_cast_fp16")];
            tensor<fp16, [1, 32, 1]> var_2446_to_fp16 = const()[name = string("op_2446_to_fp16"), val = tensor<fp16, [1, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91499008)))];
            tensor<fp16, [1, 32, ?]> var_2450_cast_fp16 = mul(x = var_2446_to_fp16, y = var_2449_cast_fp16)[name = string("op_2450_cast_fp16")];
            tensor<fp16, [1, 32, ?]> input_79_cast_fp16 = add(x = x_133_cast_fp16, y = var_2450_cast_fp16)[name = string("input_79_cast_fp16")];
            string y_31_pad_type_0 = const()[name = string("y_31_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_31_strides_0 = const()[name = string("y_31_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_31_pad_0 = const()[name = string("y_31_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_31_dilations_0 = const()[name = string("y_31_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_31_groups_0 = const()[name = string("y_31_groups_0"), val = int32(1)];
            tensor<fp16, [32, 32, 1]> vae_decoder_model_7_block_2_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_7_block_2_block_3_weight_to_fp16"), val = tensor<fp16, [32, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91499136)))];
            tensor<fp16, [32]> vae_decoder_model_7_block_2_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_7_block_2_block_3_bias_to_fp16"), val = tensor<fp16, [32]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91501248)))];
            tensor<fp16, [1, 32, ?]> y_31_cast_fp16 = conv(bias = vae_decoder_model_7_block_2_block_3_bias_to_fp16, dilations = y_31_dilations_0, groups = y_31_groups_0, pad = y_31_pad_0, pad_type = y_31_pad_type_0, strides = y_31_strides_0, weight = vae_decoder_model_7_block_2_block_3_weight_to_fp16, x = input_79_cast_fp16)[name = string("y_31_cast_fp16")];
            tensor<fp16, [1, 32, ?]> x_135_cast_fp16 = add(x = x_129_cast_fp16, y = y_31_cast_fp16)[name = string("x_135_cast_fp16")];
            tensor<fp16, [1, 32, 1]> vae_decoder_model_7_block_3_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_7_block_3_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91501376)))];
            tensor<fp16, [1, 32, ?]> var_2475_cast_fp16 = mul(x = vae_decoder_model_7_block_3_block_0_alpha_to_fp16, y = x_135_cast_fp16)[name = string("op_2475_cast_fp16")];
            tensor<fp16, [1, 32, ?]> var_2476_cast_fp16 = sin(x = var_2475_cast_fp16)[name = string("op_2476_cast_fp16")];
            fp16 var_2469_promoted_to_fp16 = const()[name = string("op_2469_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 32, ?]> var_2477_cast_fp16 = pow(x = var_2476_cast_fp16, y = var_2469_promoted_to_fp16)[name = string("op_2477_cast_fp16")];
            tensor<fp16, [1, 32, 1]> var_2474_to_fp16 = const()[name = string("op_2474_to_fp16"), val = tensor<fp16, [1, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91501504)))];
            tensor<fp16, [1, 32, ?]> var_2478_cast_fp16 = mul(x = var_2474_to_fp16, y = var_2477_cast_fp16)[name = string("op_2478_cast_fp16")];
            tensor<fp16, [1, 32, ?]> x_137_cast_fp16 = add(x = x_135_cast_fp16, y = var_2478_cast_fp16)[name = string("x_137_cast_fp16")];
            int32 var_2481 = const()[name = string("op_2481"), val = int32(-1)];
            bool input_81_interleave_0 = const()[name = string("input_81_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 32, ?]> input_81_cast_fp16 = concat(axis = var_2481, interleave = input_81_interleave_0, values = (var_2403_cast_fp16_1, x_137_cast_fp16))[name = string("input_81_cast_fp16")];
            string x_139_pad_type_0 = const()[name = string("x_139_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> x_139_dilations_0 = const()[name = string("x_139_dilations_0"), val = tensor<int32, [1]>([3])];
            int32 x_139_groups_0 = const()[name = string("x_139_groups_0"), val = int32(32)];
            tensor<int32, [1]> x_139_strides_0 = const()[name = string("x_139_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_139_pad_0 = const()[name = string("x_139_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<fp16, [32, 1, 7]> vae_decoder_model_7_block_3_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_7_block_3_block_1_weight_to_fp16"), val = tensor<fp16, [32, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91501632)))];
            tensor<fp16, [32]> vae_decoder_model_7_block_3_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_7_block_3_block_1_bias_to_fp16"), val = tensor<fp16, [32]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91502144)))];
            tensor<fp16, [1, 32, ?]> x_139_cast_fp16 = conv(bias = vae_decoder_model_7_block_3_block_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 = vae_decoder_model_7_block_3_block_1_weight_to_fp16, x = input_81_cast_fp16)[name = string("x_139_cast_fp16")];
            tensor<int32, [3]> var_2502_begin_0 = const()[name = string("op_2502_begin_0"), val = tensor<int32, [3]>([0, 0, -18])];
            tensor<int32, [3]> var_2502_end_0 = const()[name = string("op_2502_end_0"), val = tensor<int32, [3]>([1, 32, 0])];
            tensor<bool, [3]> var_2502_end_mask_0 = const()[name = string("op_2502_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 32, ?]> var_2502_cast_fp16 = slice_by_index(begin = var_2502_begin_0, end = var_2502_end_0, end_mask = var_2502_end_mask_0, x = input_81_cast_fp16)[name = string("op_2502_cast_fp16")];
            tensor<fp16, [1, 32, 1]> vae_decoder_model_7_block_3_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_7_block_3_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91502272)))];
            tensor<fp16, [1, 32, ?]> var_2509_cast_fp16 = mul(x = vae_decoder_model_7_block_3_block_2_alpha_to_fp16, y = x_139_cast_fp16)[name = string("op_2509_cast_fp16")];
            tensor<fp16, [1, 32, ?]> var_2510_cast_fp16 = sin(x = var_2509_cast_fp16)[name = string("op_2510_cast_fp16")];
            fp16 var_2503_promoted_to_fp16 = const()[name = string("op_2503_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 32, ?]> var_2511_cast_fp16 = pow(x = var_2510_cast_fp16, y = var_2503_promoted_to_fp16)[name = string("op_2511_cast_fp16")];
            tensor<fp16, [1, 32, 1]> var_2508_to_fp16 = const()[name = string("op_2508_to_fp16"), val = tensor<fp16, [1, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91502400)))];
            tensor<fp16, [1, 32, ?]> var_2512_cast_fp16 = mul(x = var_2508_to_fp16, y = var_2511_cast_fp16)[name = string("op_2512_cast_fp16")];
            tensor<fp16, [1, 32, ?]> input_83_cast_fp16 = add(x = x_139_cast_fp16, y = var_2512_cast_fp16)[name = string("input_83_cast_fp16")];
            string y_33_pad_type_0 = const()[name = string("y_33_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_33_strides_0 = const()[name = string("y_33_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_33_pad_0 = const()[name = string("y_33_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_33_dilations_0 = const()[name = string("y_33_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_33_groups_0 = const()[name = string("y_33_groups_0"), val = int32(1)];
            tensor<fp16, [32, 32, 1]> vae_decoder_model_7_block_3_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_7_block_3_block_3_weight_to_fp16"), val = tensor<fp16, [32, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91502528)))];
            tensor<fp16, [32]> vae_decoder_model_7_block_3_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_7_block_3_block_3_bias_to_fp16"), val = tensor<fp16, [32]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91504640)))];
            tensor<fp16, [1, 32, ?]> y_33_cast_fp16 = conv(bias = vae_decoder_model_7_block_3_block_3_bias_to_fp16, dilations = y_33_dilations_0, groups = y_33_groups_0, pad = y_33_pad_0, pad_type = y_33_pad_type_0, strides = y_33_strides_0, weight = vae_decoder_model_7_block_3_block_3_weight_to_fp16, x = input_83_cast_fp16)[name = string("y_33_cast_fp16")];
            tensor<fp16, [1, 32, ?]> x_141_cast_fp16 = add(x = x_135_cast_fp16, y = y_33_cast_fp16)[name = string("x_141_cast_fp16")];
            tensor<fp16, [1, 32, 1]> vae_decoder_model_7_block_4_block_0_alpha_to_fp16 = const()[name = string("vae_decoder_model_7_block_4_block_0_alpha_to_fp16"), val = tensor<fp16, [1, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91504768)))];
            tensor<fp16, [1, 32, ?]> var_2537_cast_fp16 = mul(x = vae_decoder_model_7_block_4_block_0_alpha_to_fp16, y = x_141_cast_fp16)[name = string("op_2537_cast_fp16")];
            tensor<fp16, [1, 32, ?]> var_2538_cast_fp16 = sin(x = var_2537_cast_fp16)[name = string("op_2538_cast_fp16")];
            fp16 var_2531_promoted_to_fp16 = const()[name = string("op_2531_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 32, ?]> var_2539_cast_fp16 = pow(x = var_2538_cast_fp16, y = var_2531_promoted_to_fp16)[name = string("op_2539_cast_fp16")];
            tensor<fp16, [1, 32, 1]> var_2536_to_fp16 = const()[name = string("op_2536_to_fp16"), val = tensor<fp16, [1, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91504896)))];
            tensor<fp16, [1, 32, ?]> var_2540_cast_fp16 = mul(x = var_2536_to_fp16, y = var_2539_cast_fp16)[name = string("op_2540_cast_fp16")];
            tensor<fp16, [1, 32, ?]> x_143_cast_fp16 = add(x = x_141_cast_fp16, y = var_2540_cast_fp16)[name = string("x_143_cast_fp16")];
            int32 var_2543 = const()[name = string("op_2543"), val = int32(-1)];
            bool input_85_interleave_0 = const()[name = string("input_85_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 32, ?]> input_85_cast_fp16 = concat(axis = var_2543, interleave = input_85_interleave_0, values = (var_2403_cast_fp16_2, x_143_cast_fp16))[name = string("input_85_cast_fp16")];
            string x_145_pad_type_0 = const()[name = string("x_145_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> x_145_dilations_0 = const()[name = string("x_145_dilations_0"), val = tensor<int32, [1]>([9])];
            int32 x_145_groups_0 = const()[name = string("x_145_groups_0"), val = int32(32)];
            tensor<int32, [1]> x_145_strides_0 = const()[name = string("x_145_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> x_145_pad_0 = const()[name = string("x_145_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<fp16, [32, 1, 7]> vae_decoder_model_7_block_4_block_1_weight_to_fp16 = const()[name = string("vae_decoder_model_7_block_4_block_1_weight_to_fp16"), val = tensor<fp16, [32, 1, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91505024)))];
            tensor<fp16, [32]> vae_decoder_model_7_block_4_block_1_bias_to_fp16 = const()[name = string("vae_decoder_model_7_block_4_block_1_bias_to_fp16"), val = tensor<fp16, [32]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91505536)))];
            tensor<fp16, [1, 32, ?]> x_145_cast_fp16 = conv(bias = vae_decoder_model_7_block_4_block_1_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 = vae_decoder_model_7_block_4_block_1_weight_to_fp16, x = input_85_cast_fp16)[name = string("x_145_cast_fp16")];
            tensor<int32, [3]> new_sub_begin_0 = const()[name = string("new_sub_begin_0"), val = tensor<int32, [3]>([0, 0, -54])];
            tensor<int32, [3]> new_sub_end_0 = const()[name = string("new_sub_end_0"), val = tensor<int32, [3]>([1, 32, 0])];
            tensor<bool, [3]> new_sub_end_mask_0 = const()[name = string("new_sub_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 32, ?]> new_sub_cast_fp16 = slice_by_index(begin = new_sub_begin_0, end = new_sub_end_0, end_mask = new_sub_end_mask_0, x = input_85_cast_fp16)[name = string("new_sub_cast_fp16")];
            tensor<fp16, [1, 32, 1]> vae_decoder_model_7_block_4_block_2_alpha_to_fp16 = const()[name = string("vae_decoder_model_7_block_4_block_2_alpha_to_fp16"), val = tensor<fp16, [1, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91505664)))];
            tensor<fp16, [1, 32, ?]> var_2571_cast_fp16 = mul(x = vae_decoder_model_7_block_4_block_2_alpha_to_fp16, y = x_145_cast_fp16)[name = string("op_2571_cast_fp16")];
            tensor<fp16, [1, 32, ?]> var_2572_cast_fp16 = sin(x = var_2571_cast_fp16)[name = string("op_2572_cast_fp16")];
            fp16 var_2565_promoted_to_fp16 = const()[name = string("op_2565_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 32, ?]> var_2573_cast_fp16 = pow(x = var_2572_cast_fp16, y = var_2565_promoted_to_fp16)[name = string("op_2573_cast_fp16")];
            tensor<fp16, [1, 32, 1]> var_2570_to_fp16 = const()[name = string("op_2570_to_fp16"), val = tensor<fp16, [1, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91505792)))];
            tensor<fp16, [1, 32, ?]> var_2574_cast_fp16 = mul(x = var_2570_to_fp16, y = var_2573_cast_fp16)[name = string("op_2574_cast_fp16")];
            tensor<fp16, [1, 32, ?]> input_87_cast_fp16 = add(x = x_145_cast_fp16, y = var_2574_cast_fp16)[name = string("input_87_cast_fp16")];
            string y_pad_type_0 = const()[name = string("y_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> y_strides_0 = const()[name = string("y_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> y_pad_0 = const()[name = string("y_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> y_dilations_0 = const()[name = string("y_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 y_groups_0 = const()[name = string("y_groups_0"), val = int32(1)];
            tensor<fp16, [32, 32, 1]> vae_decoder_model_7_block_4_block_3_weight_to_fp16 = const()[name = string("vae_decoder_model_7_block_4_block_3_weight_to_fp16"), val = tensor<fp16, [32, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91505920)))];
            tensor<fp16, [32]> vae_decoder_model_7_block_4_block_3_bias_to_fp16 = const()[name = string("vae_decoder_model_7_block_4_block_3_bias_to_fp16"), val = tensor<fp16, [32]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91508032)))];
            tensor<fp16, [1, 32, ?]> y_cast_fp16 = conv(bias = vae_decoder_model_7_block_4_block_3_bias_to_fp16, dilations = y_dilations_0, groups = y_groups_0, pad = y_pad_0, pad_type = y_pad_type_0, strides = y_strides_0, weight = vae_decoder_model_7_block_4_block_3_weight_to_fp16, x = input_87_cast_fp16)[name = string("y_cast_fp16")];
            tensor<fp16, [1, 32, ?]> x_147_cast_fp16 = add(x = x_141_cast_fp16, y = y_cast_fp16)[name = string("x_147_cast_fp16")];
            int32 var_2594 = const()[name = string("op_2594"), val = int32(-1)];
            bool var_2595_interleave_0 = const()[name = string("op_2595_interleave_0"), val = bool(false)];
            tensor<fp16, [1, 32, ?]> var_2595_cast_fp16 = concat(axis = var_2594, interleave = var_2595_interleave_0, values = (var_2440_cast_fp16, var_2502_cast_fp16, new_sub_cast_fp16))[name = string("op_2595_cast_fp16")];
            string var_2595_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_2595_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            tensor<fp16, [1, 32, 1]> vae_decoder_model_8_alpha_to_fp16 = const()[name = string("vae_decoder_model_8_alpha_to_fp16"), val = tensor<fp16, [1, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91508160)))];
            tensor<fp16, [1, 32, ?]> var_2602_cast_fp16 = mul(x = vae_decoder_model_8_alpha_to_fp16, y = x_147_cast_fp16)[name = string("op_2602_cast_fp16")];
            tensor<fp16, [1, 32, ?]> var_2603_cast_fp16 = sin(x = var_2602_cast_fp16)[name = string("op_2603_cast_fp16")];
            fp16 var_2596_promoted_to_fp16 = const()[name = string("op_2596_promoted_to_fp16"), val = fp16(0x1p+1)];
            tensor<fp16, [1, 32, ?]> var_2604_cast_fp16 = pow(x = var_2603_cast_fp16, y = var_2596_promoted_to_fp16)[name = string("op_2604_cast_fp16")];
            tensor<fp16, [1, 32, 1]> var_2601_to_fp16 = const()[name = string("op_2601_to_fp16"), val = tensor<fp16, [1, 32, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91508288)))];
            tensor<fp16, [1, 32, ?]> var_2605_cast_fp16 = mul(x = var_2601_to_fp16, y = var_2604_cast_fp16)[name = string("op_2605_cast_fp16")];
            tensor<fp16, [1, 32, ?]> x_cast_fp16 = add(x = x_147_cast_fp16, y = var_2605_cast_fp16)[name = string("x_cast_fp16")];
            int32 var_2608 = const()[name = string("op_2608"), val = int32(-1)];
            bool input_89_interleave_0 = const()[name = string("input_89_interleave_0"), val = bool(false)];
            string cache_13_to_fp16_dtype_0 = const()[name = string("cache_13_to_fp16_dtype_0"), val = string("fp16")];
            tensor<fp16, [1, 32, 6]> cache_13_to_fp16 = cast(dtype = cache_13_to_fp16_dtype_0, x = cache_13)[name = string("cast_2")];
            tensor<fp16, [1, 32, ?]> input_89_cast_fp16 = concat(axis = var_2608, interleave = input_89_interleave_0, values = (cache_13_to_fp16, x_cast_fp16))[name = string("input_89_cast_fp16")];
            string input_pad_type_0 = const()[name = string("input_pad_type_0"), val = string("valid")];
            tensor<int32, [1]> input_strides_0 = const()[name = string("input_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [2]> input_pad_0 = const()[name = string("input_pad_0"), val = tensor<int32, [2]>([0, 0])];
            tensor<int32, [1]> input_dilations_0 = const()[name = string("input_dilations_0"), val = tensor<int32, [1]>([1])];
            int32 input_groups_0 = const()[name = string("input_groups_0"), val = int32(1)];
            tensor<fp16, [1, 32, 7]> vae_decoder_model_9_weight_to_fp16 = const()[name = string("vae_decoder_model_9_weight_to_fp16"), val = tensor<fp16, [1, 32, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(91508416)))];
            tensor<fp16, [1]> vae_decoder_model_9_bias_to_fp16 = const()[name = string("vae_decoder_model_9_bias_to_fp16"), val = tensor<fp16, [1]>([-0x1.1ap-15])];
            tensor<fp16, [1, 1, ?]> input_cast_fp16 = conv(bias = vae_decoder_model_9_bias_to_fp16, dilations = input_dilations_0, groups = input_groups_0, pad = input_pad_0, pad_type = input_pad_type_0, strides = input_strides_0, weight = vae_decoder_model_9_weight_to_fp16, x = input_89_cast_fp16)[name = string("input_cast_fp16")];
            tensor<int32, [3]> var_2629_begin_0 = const()[name = string("op_2629_begin_0"), val = tensor<int32, [3]>([0, 0, -6])];
            tensor<int32, [3]> var_2629_end_0 = const()[name = string("op_2629_end_0"), val = tensor<int32, [3]>([1, 32, 0])];
            tensor<bool, [3]> var_2629_end_mask_0 = const()[name = string("op_2629_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [1, 32, ?]> var_2629_cast_fp16 = slice_by_index(begin = var_2629_begin_0, end = var_2629_end_0, end_mask = var_2629_end_mask_0, x = input_89_cast_fp16)[name = string("op_2629_cast_fp16")];
            string var_2629_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_2629_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            tensor<fp16, [1, 1, ?]> var_2630_cast_fp16 = tanh(x = input_cast_fp16)[name = string("op_2630_cast_fp16")];
            string var_2630_cast_fp16_to_fp32_dtype_0 = const()[name = string("op_2630_cast_fp16_to_fp32_dtype_0"), val = string("fp32")];
            tensor<fp32, [1, 1, ?]> audio = cast(dtype = var_2630_cast_fp16_to_fp32_dtype_0, x = var_2630_cast_fp16)[name = string("cast_0")];
            tensor<fp32, [1, 32, ?]> new_cache_13 = cast(dtype = var_2629_cast_fp16_to_fp32_dtype_0, x = var_2629_cast_fp16)[name = string("cast_1")];
            tensor<fp32, [1, 32, ?]> new_cache_12 = cast(dtype = var_2595_cast_fp16_to_fp32_dtype_0, x = var_2595_cast_fp16)[name = string("cast_3")];
            tensor<fp32, [1, 64, 1]> new_cache_11 = cast(dtype = var_2397_cast_fp16_to_fp32_dtype_0, x = var_2397_cast_fp16)[name = string("cast_5")];
            tensor<fp32, [1, 64, ?]> new_cache_10 = cast(dtype = var_2355_cast_fp16_to_fp32_dtype_0, x = var_2355_cast_fp16)[name = string("cast_7")];
            tensor<fp32, [1, 128, 1]> new_cache_9 = cast(dtype = var_2157_cast_fp16_to_fp32_dtype_0, x = var_2157_cast_fp16)[name = string("cast_9")];
            tensor<fp32, [1, 128, ?]> new_cache_8 = cast(dtype = var_2115_cast_fp16_to_fp32_dtype_0, x = var_2115_cast_fp16)[name = string("cast_11")];
            tensor<fp32, [1, 256, 1]> new_cache_7 = cast(dtype = var_1917_cast_fp16_to_fp32_dtype_0, x = var_1917_cast_fp16)[name = string("cast_13")];
            tensor<fp32, [1, 256, ?]> new_cache_6 = cast(dtype = var_1875_cast_fp16_to_fp32_dtype_0, x = var_1875_cast_fp16)[name = string("cast_15")];
            tensor<fp32, [1, 512, 1]> new_cache_5 = cast(dtype = var_1677_cast_fp16_to_fp32_dtype_0, x = var_1677_cast_fp16)[name = string("cast_17")];
            tensor<fp32, [1, 512, ?]> new_cache_4 = cast(dtype = var_1635_cast_fp16_to_fp32_dtype_0, x = var_1635_cast_fp16)[name = string("cast_19")];
            tensor<fp32, [1, 1024, 1]> new_cache_3 = cast(dtype = var_1437_cast_fp16_to_fp32_dtype_0, x = var_1437_cast_fp16)[name = string("cast_21")];
            tensor<fp32, [1, 1024, ?]> new_cache_2 = cast(dtype = var_1395_cast_fp16_to_fp32_dtype_0, x = var_1395_cast_fp16)[name = string("cast_23")];
            tensor<fp32, [1, 2048, 1]> new_cache_1 = cast(dtype = var_1197_cast_fp16_to_fp32_dtype_0, x = var_1197_cast_fp16)[name = string("cast_25")];
            tensor<fp32, [1, 64, ?]> new_cache_0 = cast(dtype = var_1140_cast_fp16_to_fp32_dtype_0, x = var_1140_cast_fp16)[name = string("cast_27")];
        } -> (audio, new_cache_0, new_cache_1, new_cache_2, new_cache_3, new_cache_4, new_cache_5, new_cache_6, new_cache_7, new_cache_8, new_cache_9, new_cache_10, new_cache_11, new_cache_12, new_cache_13);
}