| program(1.3) |
| [buildInfo = dict<string, string>({{"coremlc-component-MIL", "3510.2.1"}, {"coremlc-version", "3500.32.1"}, {"coremltools-component-torch", "2.7.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "9.0"}})] |
| { |
| func main<ios18>(tensor<fp32, [1, 80, ?]> mel) [FlexibleShapeInformation = tuple<tuple<string, dict<string, tensor<int32, [?]>>>, tuple<string, dict<string, list<tensor<int32, [2]>, ?>>>>((("DefaultShapes", {{"mel", [1, 80, 46]}}), ("RangeDims", {{"mel", [[1, 1], [80, 80], [10, 1000]]}})))] { |
| tensor<fp32, [512]> f0_predictor_condnet_0_bias = const()[name = string("f0_predictor_condnet_0_bias"), val = tensor<fp32, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(64)))]; |
| tensor<fp32, [512, 80, 3]> f0_predictor_condnet_0_weight = const()[name = string("f0_predictor_condnet_0_weight"), val = tensor<fp32, [512, 80, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(2176)))]; |
| tensor<fp32, [512]> f0_predictor_condnet_2_bias = const()[name = string("f0_predictor_condnet_2_bias"), val = tensor<fp32, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(493760)))]; |
| tensor<fp32, [512, 512, 3]> f0_predictor_condnet_2_weight = const()[name = string("f0_predictor_condnet_2_weight"), val = tensor<fp32, [512, 512, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(495872)))]; |
| tensor<fp32, [512]> f0_predictor_condnet_4_bias = const()[name = string("f0_predictor_condnet_4_bias"), val = tensor<fp32, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(3641664)))]; |
| tensor<fp32, [512, 512, 3]> f0_predictor_condnet_4_weight = const()[name = string("f0_predictor_condnet_4_weight"), val = tensor<fp32, [512, 512, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(3643776)))]; |
| tensor<fp32, [512]> f0_predictor_condnet_6_bias = const()[name = string("f0_predictor_condnet_6_bias"), val = tensor<fp32, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(6789568)))]; |
| tensor<fp32, [512, 512, 3]> f0_predictor_condnet_6_weight = const()[name = string("f0_predictor_condnet_6_weight"), val = tensor<fp32, [512, 512, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(6791680)))]; |
| tensor<fp32, [512]> f0_predictor_condnet_8_bias = const()[name = string("f0_predictor_condnet_8_bias"), val = tensor<fp32, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(9937472)))]; |
| tensor<fp32, [512, 512, 3]> f0_predictor_condnet_8_weight = const()[name = string("f0_predictor_condnet_8_weight"), val = tensor<fp32, [512, 512, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(9939584)))]; |
| tensor<fp32, [1]> f0_predictor_classifier_bias = const()[name = string("f0_predictor_classifier_bias"), val = tensor<fp32, [1]>([0x1.0b5072p-4])]; |
| tensor<fp32, [1, 512]> f0_predictor_classifier_weight = const()[name = string("f0_predictor_classifier_weight"), val = tensor<fp32, [1, 512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(13085376)))]; |
| tensor<fp32, [1]> l_linear_bias = const()[name = string("l_linear_bias"), val = tensor<fp32, [1]>([0x1.830c72p-8])]; |
| tensor<fp32, [1, 9]> l_linear_weight = const()[name = string("l_linear_weight"), val = tensor<fp32, [1, 9]>([[-0x1.351334p-10, -0x1.17885ap-12, -0x1.9cc5ccp-12, 0x1.2a836ep-10, 0x1.645e34p-10, 0x1.e08c2p-10, -0x1.948314p-12, -0x1.fd594p-11, -0x1.f04a24p-10]])]; |
| tensor<fp32, [512]> conv_pre_bias = const()[name = string("conv_pre_bias"), val = tensor<fp32, [512]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(13087488)))]; |
| tensor<fp32, [512, 80, 7]> conv_pre_weight = const()[name = string("conv_pre_weight"), val = tensor<fp32, [512, 80, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(13089600)))]; |
| tensor<fp32, [256]> ups_0_bias = const()[name = string("ups_0_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(14236544)))]; |
| tensor<fp32, [512, 256, 16]> ups_0_weight = const()[name = string("ups_0_weight"), val = tensor<fp32, [512, 256, 16]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(14237632)))]; |
| tensor<fp32, [256]> source_downs_0_bias = const()[name = string("source_downs_0_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(22626304)))]; |
| tensor<fp32, [256, 18, 30]> source_downs_0_weight = const()[name = string("source_downs_0_weight"), val = tensor<fp32, [256, 18, 30]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(22627392)))]; |
| tensor<fp32, [256]> source_resblocks_0_convs1_0_bias = const()[name = string("source_resblocks_0_convs1_0_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(23180416)))]; |
| tensor<fp32, [256, 256, 7]> source_resblocks_0_convs1_0_weight = const()[name = string("source_resblocks_0_convs1_0_weight"), val = tensor<fp32, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(23181504)))]; |
| tensor<fp32, [256]> source_resblocks_0_convs2_0_bias = const()[name = string("source_resblocks_0_convs2_0_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(25016576)))]; |
| tensor<fp32, [256, 256, 7]> source_resblocks_0_convs2_0_weight = const()[name = string("source_resblocks_0_convs2_0_weight"), val = tensor<fp32, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(25017664)))]; |
| tensor<fp32, [256]> source_resblocks_0_convs1_1_bias = const()[name = string("source_resblocks_0_convs1_1_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(26852736)))]; |
| tensor<fp32, [256, 256, 7]> source_resblocks_0_convs1_1_weight = const()[name = string("source_resblocks_0_convs1_1_weight"), val = tensor<fp32, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(26853824)))]; |
| tensor<fp32, [256]> source_resblocks_0_convs2_1_bias = const()[name = string("source_resblocks_0_convs2_1_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(28688896)))]; |
| tensor<fp32, [256, 256, 7]> source_resblocks_0_convs2_1_weight = const()[name = string("source_resblocks_0_convs2_1_weight"), val = tensor<fp32, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(28689984)))]; |
| tensor<fp32, [256]> source_resblocks_0_convs1_2_bias = const()[name = string("source_resblocks_0_convs1_2_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(30525056)))]; |
| tensor<fp32, [256, 256, 7]> source_resblocks_0_convs1_2_weight = const()[name = string("source_resblocks_0_convs1_2_weight"), val = tensor<fp32, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(30526144)))]; |
| tensor<fp32, [256]> source_resblocks_0_convs2_2_bias = const()[name = string("source_resblocks_0_convs2_2_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(32361216)))]; |
| tensor<fp32, [256, 256, 7]> source_resblocks_0_convs2_2_weight = const()[name = string("source_resblocks_0_convs2_2_weight"), val = tensor<fp32, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(32362304)))]; |
| tensor<fp32, [256]> resblocks_0_convs1_0_bias = const()[name = string("resblocks_0_convs1_0_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34197376)))]; |
| tensor<fp32, [256, 256, 3]> resblocks_0_convs1_0_weight = const()[name = string("resblocks_0_convs1_0_weight"), val = tensor<fp32, [256, 256, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34198464)))]; |
| tensor<fp32, [256]> resblocks_0_convs2_0_bias = const()[name = string("resblocks_0_convs2_0_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34984960)))]; |
| tensor<fp32, [256, 256, 3]> resblocks_0_convs2_0_weight = const()[name = string("resblocks_0_convs2_0_weight"), val = tensor<fp32, [256, 256, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34986048)))]; |
| tensor<fp32, [256]> resblocks_0_convs1_1_bias = const()[name = string("resblocks_0_convs1_1_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35772544)))]; |
| tensor<fp32, [256, 256, 3]> resblocks_0_convs1_1_weight = const()[name = string("resblocks_0_convs1_1_weight"), val = tensor<fp32, [256, 256, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35773632)))]; |
| tensor<fp32, [256]> resblocks_0_convs2_1_bias = const()[name = string("resblocks_0_convs2_1_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36560128)))]; |
| tensor<fp32, [256, 256, 3]> resblocks_0_convs2_1_weight = const()[name = string("resblocks_0_convs2_1_weight"), val = tensor<fp32, [256, 256, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36561216)))]; |
| tensor<fp32, [256]> resblocks_0_convs1_2_bias = const()[name = string("resblocks_0_convs1_2_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37347712)))]; |
| tensor<fp32, [256, 256, 3]> resblocks_0_convs1_2_weight = const()[name = string("resblocks_0_convs1_2_weight"), val = tensor<fp32, [256, 256, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37348800)))]; |
| tensor<fp32, [256]> resblocks_0_convs2_2_bias = const()[name = string("resblocks_0_convs2_2_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38135296)))]; |
| tensor<fp32, [256, 256, 3]> resblocks_0_convs2_2_weight = const()[name = string("resblocks_0_convs2_2_weight"), val = tensor<fp32, [256, 256, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38136384)))]; |
| tensor<fp32, [256]> resblocks_1_convs1_0_bias = const()[name = string("resblocks_1_convs1_0_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38922880)))]; |
| tensor<fp32, [256, 256, 7]> resblocks_1_convs1_0_weight = const()[name = string("resblocks_1_convs1_0_weight"), val = tensor<fp32, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38923968)))]; |
| tensor<fp32, [256]> resblocks_1_convs2_0_bias = const()[name = string("resblocks_1_convs2_0_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40759040)))]; |
| tensor<fp32, [256, 256, 7]> resblocks_1_convs2_0_weight = const()[name = string("resblocks_1_convs2_0_weight"), val = tensor<fp32, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40760128)))]; |
| tensor<fp32, [256]> resblocks_1_convs1_1_bias = const()[name = string("resblocks_1_convs1_1_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(42595200)))]; |
| tensor<fp32, [256, 256, 7]> resblocks_1_convs1_1_weight = const()[name = string("resblocks_1_convs1_1_weight"), val = tensor<fp32, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(42596288)))]; |
| tensor<fp32, [256]> resblocks_1_convs2_1_bias = const()[name = string("resblocks_1_convs2_1_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(44431360)))]; |
| tensor<fp32, [256, 256, 7]> resblocks_1_convs2_1_weight = const()[name = string("resblocks_1_convs2_1_weight"), val = tensor<fp32, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(44432448)))]; |
| tensor<fp32, [256]> resblocks_1_convs1_2_bias = const()[name = string("resblocks_1_convs1_2_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(46267520)))]; |
| tensor<fp32, [256, 256, 7]> resblocks_1_convs1_2_weight = const()[name = string("resblocks_1_convs1_2_weight"), val = tensor<fp32, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(46268608)))]; |
| tensor<fp32, [256]> resblocks_1_convs2_2_bias = const()[name = string("resblocks_1_convs2_2_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(48103680)))]; |
| tensor<fp32, [256, 256, 7]> resblocks_1_convs2_2_weight = const()[name = string("resblocks_1_convs2_2_weight"), val = tensor<fp32, [256, 256, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(48104768)))]; |
| tensor<fp32, [256]> resblocks_2_convs1_0_bias = const()[name = string("resblocks_2_convs1_0_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(49939840)))]; |
| tensor<fp32, [256, 256, 11]> resblocks_2_convs1_0_weight = const()[name = string("resblocks_2_convs1_0_weight"), val = tensor<fp32, [256, 256, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(49940928)))]; |
| tensor<fp32, [256]> resblocks_2_convs2_0_bias = const()[name = string("resblocks_2_convs2_0_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(52824576)))]; |
| tensor<fp32, [256, 256, 11]> resblocks_2_convs2_0_weight = const()[name = string("resblocks_2_convs2_0_weight"), val = tensor<fp32, [256, 256, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(52825664)))]; |
| tensor<fp32, [256]> resblocks_2_convs1_1_bias = const()[name = string("resblocks_2_convs1_1_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(55709312)))]; |
| tensor<fp32, [256, 256, 11]> resblocks_2_convs1_1_weight = const()[name = string("resblocks_2_convs1_1_weight"), val = tensor<fp32, [256, 256, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(55710400)))]; |
| tensor<fp32, [256]> resblocks_2_convs2_1_bias = const()[name = string("resblocks_2_convs2_1_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(58594048)))]; |
| tensor<fp32, [256, 256, 11]> resblocks_2_convs2_1_weight = const()[name = string("resblocks_2_convs2_1_weight"), val = tensor<fp32, [256, 256, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(58595136)))]; |
| tensor<fp32, [256]> resblocks_2_convs1_2_bias = const()[name = string("resblocks_2_convs1_2_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(61478784)))]; |
| tensor<fp32, [256, 256, 11]> resblocks_2_convs1_2_weight = const()[name = string("resblocks_2_convs1_2_weight"), val = tensor<fp32, [256, 256, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(61479872)))]; |
| tensor<fp32, [256]> resblocks_2_convs2_2_bias = const()[name = string("resblocks_2_convs2_2_bias"), val = tensor<fp32, [256]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(64363520)))]; |
| tensor<fp32, [256, 256, 11]> resblocks_2_convs2_2_weight = const()[name = string("resblocks_2_convs2_2_weight"), val = tensor<fp32, [256, 256, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(64364608)))]; |
| tensor<fp32, [128]> ups_1_bias = const()[name = string("ups_1_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(67248256)))]; |
| tensor<fp32, [256, 128, 11]> ups_1_weight = const()[name = string("ups_1_weight"), val = tensor<fp32, [256, 128, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(67248832)))]; |
| tensor<fp32, [128]> source_downs_1_bias = const()[name = string("source_downs_1_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(68690688)))]; |
| tensor<fp32, [128, 18, 6]> source_downs_1_weight = const()[name = string("source_downs_1_weight"), val = tensor<fp32, [128, 18, 6]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(68691264)))]; |
| tensor<fp32, [128]> source_resblocks_1_convs1_0_bias = const()[name = string("source_resblocks_1_convs1_0_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(68746624)))]; |
| tensor<fp32, [128, 128, 7]> source_resblocks_1_convs1_0_weight = const()[name = string("source_resblocks_1_convs1_0_weight"), val = tensor<fp32, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(68747200)))]; |
| tensor<fp32, [128]> source_resblocks_1_convs2_0_bias = const()[name = string("source_resblocks_1_convs2_0_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69206016)))]; |
| tensor<fp32, [128, 128, 7]> source_resblocks_1_convs2_0_weight = const()[name = string("source_resblocks_1_convs2_0_weight"), val = tensor<fp32, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69206592)))]; |
| tensor<fp32, [128]> source_resblocks_1_convs1_1_bias = const()[name = string("source_resblocks_1_convs1_1_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69665408)))]; |
| tensor<fp32, [128, 128, 7]> source_resblocks_1_convs1_1_weight = const()[name = string("source_resblocks_1_convs1_1_weight"), val = tensor<fp32, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69665984)))]; |
| tensor<fp32, [128]> source_resblocks_1_convs2_1_bias = const()[name = string("source_resblocks_1_convs2_1_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(70124800)))]; |
| tensor<fp32, [128, 128, 7]> source_resblocks_1_convs2_1_weight = const()[name = string("source_resblocks_1_convs2_1_weight"), val = tensor<fp32, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(70125376)))]; |
| tensor<fp32, [128]> source_resblocks_1_convs1_2_bias = const()[name = string("source_resblocks_1_convs1_2_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(70584192)))]; |
| tensor<fp32, [128, 128, 7]> source_resblocks_1_convs1_2_weight = const()[name = string("source_resblocks_1_convs1_2_weight"), val = tensor<fp32, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(70584768)))]; |
| tensor<fp32, [128]> source_resblocks_1_convs2_2_bias = const()[name = string("source_resblocks_1_convs2_2_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71043584)))]; |
| tensor<fp32, [128, 128, 7]> source_resblocks_1_convs2_2_weight = const()[name = string("source_resblocks_1_convs2_2_weight"), val = tensor<fp32, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71044160)))]; |
| tensor<fp32, [128]> resblocks_3_convs1_0_bias = const()[name = string("resblocks_3_convs1_0_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71502976)))]; |
| tensor<fp32, [128, 128, 3]> resblocks_3_convs1_0_weight = const()[name = string("resblocks_3_convs1_0_weight"), val = tensor<fp32, [128, 128, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71503552)))]; |
| tensor<fp32, [128]> resblocks_3_convs2_0_bias = const()[name = string("resblocks_3_convs2_0_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71700224)))]; |
| tensor<fp32, [128, 128, 3]> resblocks_3_convs2_0_weight = const()[name = string("resblocks_3_convs2_0_weight"), val = tensor<fp32, [128, 128, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71700800)))]; |
| tensor<fp32, [128]> resblocks_3_convs1_1_bias = const()[name = string("resblocks_3_convs1_1_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71897472)))]; |
| tensor<fp32, [128, 128, 3]> resblocks_3_convs1_1_weight = const()[name = string("resblocks_3_convs1_1_weight"), val = tensor<fp32, [128, 128, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71898048)))]; |
| tensor<fp32, [128]> resblocks_3_convs2_1_bias = const()[name = string("resblocks_3_convs2_1_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72094720)))]; |
| tensor<fp32, [128, 128, 3]> resblocks_3_convs2_1_weight = const()[name = string("resblocks_3_convs2_1_weight"), val = tensor<fp32, [128, 128, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72095296)))]; |
| tensor<fp32, [128]> resblocks_3_convs1_2_bias = const()[name = string("resblocks_3_convs1_2_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72291968)))]; |
| tensor<fp32, [128, 128, 3]> resblocks_3_convs1_2_weight = const()[name = string("resblocks_3_convs1_2_weight"), val = tensor<fp32, [128, 128, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72292544)))]; |
| tensor<fp32, [128]> resblocks_3_convs2_2_bias = const()[name = string("resblocks_3_convs2_2_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72489216)))]; |
| tensor<fp32, [128, 128, 3]> resblocks_3_convs2_2_weight = const()[name = string("resblocks_3_convs2_2_weight"), val = tensor<fp32, [128, 128, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72489792)))]; |
| tensor<fp32, [128]> resblocks_4_convs1_0_bias = const()[name = string("resblocks_4_convs1_0_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72686464)))]; |
| tensor<fp32, [128, 128, 7]> resblocks_4_convs1_0_weight = const()[name = string("resblocks_4_convs1_0_weight"), val = tensor<fp32, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72687040)))]; |
| tensor<fp32, [128]> resblocks_4_convs2_0_bias = const()[name = string("resblocks_4_convs2_0_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(73145856)))]; |
| tensor<fp32, [128, 128, 7]> resblocks_4_convs2_0_weight = const()[name = string("resblocks_4_convs2_0_weight"), val = tensor<fp32, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(73146432)))]; |
| tensor<fp32, [128]> resblocks_4_convs1_1_bias = const()[name = string("resblocks_4_convs1_1_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(73605248)))]; |
| tensor<fp32, [128, 128, 7]> resblocks_4_convs1_1_weight = const()[name = string("resblocks_4_convs1_1_weight"), val = tensor<fp32, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(73605824)))]; |
| tensor<fp32, [128]> resblocks_4_convs2_1_bias = const()[name = string("resblocks_4_convs2_1_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(74064640)))]; |
| tensor<fp32, [128, 128, 7]> resblocks_4_convs2_1_weight = const()[name = string("resblocks_4_convs2_1_weight"), val = tensor<fp32, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(74065216)))]; |
| tensor<fp32, [128]> resblocks_4_convs1_2_bias = const()[name = string("resblocks_4_convs1_2_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(74524032)))]; |
| tensor<fp32, [128, 128, 7]> resblocks_4_convs1_2_weight = const()[name = string("resblocks_4_convs1_2_weight"), val = tensor<fp32, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(74524608)))]; |
| tensor<fp32, [128]> resblocks_4_convs2_2_bias = const()[name = string("resblocks_4_convs2_2_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(74983424)))]; |
| tensor<fp32, [128, 128, 7]> resblocks_4_convs2_2_weight = const()[name = string("resblocks_4_convs2_2_weight"), val = tensor<fp32, [128, 128, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(74984000)))]; |
| tensor<fp32, [128]> resblocks_5_convs1_0_bias = const()[name = string("resblocks_5_convs1_0_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(75442816)))]; |
| tensor<fp32, [128, 128, 11]> resblocks_5_convs1_0_weight = const()[name = string("resblocks_5_convs1_0_weight"), val = tensor<fp32, [128, 128, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(75443392)))]; |
| tensor<fp32, [128]> resblocks_5_convs2_0_bias = const()[name = string("resblocks_5_convs2_0_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(76164352)))]; |
| tensor<fp32, [128, 128, 11]> resblocks_5_convs2_0_weight = const()[name = string("resblocks_5_convs2_0_weight"), val = tensor<fp32, [128, 128, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(76164928)))]; |
| tensor<fp32, [128]> resblocks_5_convs1_1_bias = const()[name = string("resblocks_5_convs1_1_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(76885888)))]; |
| tensor<fp32, [128, 128, 11]> resblocks_5_convs1_1_weight = const()[name = string("resblocks_5_convs1_1_weight"), val = tensor<fp32, [128, 128, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(76886464)))]; |
| tensor<fp32, [128]> resblocks_5_convs2_1_bias = const()[name = string("resblocks_5_convs2_1_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(77607424)))]; |
| tensor<fp32, [128, 128, 11]> resblocks_5_convs2_1_weight = const()[name = string("resblocks_5_convs2_1_weight"), val = tensor<fp32, [128, 128, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(77608000)))]; |
| tensor<fp32, [128]> resblocks_5_convs1_2_bias = const()[name = string("resblocks_5_convs1_2_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(78328960)))]; |
| tensor<fp32, [128, 128, 11]> resblocks_5_convs1_2_weight = const()[name = string("resblocks_5_convs1_2_weight"), val = tensor<fp32, [128, 128, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(78329536)))]; |
| tensor<fp32, [128]> resblocks_5_convs2_2_bias = const()[name = string("resblocks_5_convs2_2_bias"), val = tensor<fp32, [128]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(79050496)))]; |
| tensor<fp32, [128, 128, 11]> resblocks_5_convs2_2_weight = const()[name = string("resblocks_5_convs2_2_weight"), val = tensor<fp32, [128, 128, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(79051072)))]; |
| tensor<fp32, [64]> ups_2_bias = const()[name = string("ups_2_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(79772032)))]; |
| tensor<fp32, [128, 64, 7]> ups_2_weight = const()[name = string("ups_2_weight"), val = tensor<fp32, [128, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(79772352)))]; |
| tensor<fp32, [64]> source_downs_2_bias = const()[name = string("source_downs_2_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80001792)))]; |
| tensor<fp32, [64, 18, 1]> source_downs_2_weight = const()[name = string("source_downs_2_weight"), val = tensor<fp32, [64, 18, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80002112)))]; |
| tensor<fp32, [64]> source_resblocks_2_convs1_0_bias = const()[name = string("source_resblocks_2_convs1_0_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80006784)))]; |
| tensor<fp32, [64, 64, 11]> source_resblocks_2_convs1_0_weight = const()[name = string("source_resblocks_2_convs1_0_weight"), val = tensor<fp32, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80007104)))]; |
| tensor<fp32, [64]> source_resblocks_2_convs2_0_bias = const()[name = string("source_resblocks_2_convs2_0_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80187392)))]; |
| tensor<fp32, [64, 64, 11]> source_resblocks_2_convs2_0_weight = const()[name = string("source_resblocks_2_convs2_0_weight"), val = tensor<fp32, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80187712)))]; |
| tensor<fp32, [64]> source_resblocks_2_convs1_1_bias = const()[name = string("source_resblocks_2_convs1_1_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80368000)))]; |
| tensor<fp32, [64, 64, 11]> source_resblocks_2_convs1_1_weight = const()[name = string("source_resblocks_2_convs1_1_weight"), val = tensor<fp32, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80368320)))]; |
| tensor<fp32, [64]> source_resblocks_2_convs2_1_bias = const()[name = string("source_resblocks_2_convs2_1_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80548608)))]; |
| tensor<fp32, [64, 64, 11]> source_resblocks_2_convs2_1_weight = const()[name = string("source_resblocks_2_convs2_1_weight"), val = tensor<fp32, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80548928)))]; |
| tensor<fp32, [64]> source_resblocks_2_convs1_2_bias = const()[name = string("source_resblocks_2_convs1_2_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80729216)))]; |
| tensor<fp32, [64, 64, 11]> source_resblocks_2_convs1_2_weight = const()[name = string("source_resblocks_2_convs1_2_weight"), val = tensor<fp32, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80729536)))]; |
| tensor<fp32, [64]> source_resblocks_2_convs2_2_bias = const()[name = string("source_resblocks_2_convs2_2_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80909824)))]; |
| tensor<fp32, [64, 64, 11]> source_resblocks_2_convs2_2_weight = const()[name = string("source_resblocks_2_convs2_2_weight"), val = tensor<fp32, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80910144)))]; |
| tensor<fp32, [64]> resblocks_6_convs1_0_bias = const()[name = string("resblocks_6_convs1_0_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81090432)))]; |
| tensor<fp32, [64, 64, 3]> resblocks_6_convs1_0_weight = const()[name = string("resblocks_6_convs1_0_weight"), val = tensor<fp32, [64, 64, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81090752)))]; |
| tensor<fp32, [64]> resblocks_6_convs2_0_bias = const()[name = string("resblocks_6_convs2_0_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81139968)))]; |
| tensor<fp32, [64, 64, 3]> resblocks_6_convs2_0_weight = const()[name = string("resblocks_6_convs2_0_weight"), val = tensor<fp32, [64, 64, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81140288)))]; |
| tensor<fp32, [64]> resblocks_6_convs1_1_bias = const()[name = string("resblocks_6_convs1_1_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81189504)))]; |
| tensor<fp32, [64, 64, 3]> resblocks_6_convs1_1_weight = const()[name = string("resblocks_6_convs1_1_weight"), val = tensor<fp32, [64, 64, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81189824)))]; |
| tensor<fp32, [64]> resblocks_6_convs2_1_bias = const()[name = string("resblocks_6_convs2_1_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81239040)))]; |
| tensor<fp32, [64, 64, 3]> resblocks_6_convs2_1_weight = const()[name = string("resblocks_6_convs2_1_weight"), val = tensor<fp32, [64, 64, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81239360)))]; |
| tensor<fp32, [64]> resblocks_6_convs1_2_bias = const()[name = string("resblocks_6_convs1_2_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81288576)))]; |
| tensor<fp32, [64, 64, 3]> resblocks_6_convs1_2_weight = const()[name = string("resblocks_6_convs1_2_weight"), val = tensor<fp32, [64, 64, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81288896)))]; |
| tensor<fp32, [64]> resblocks_6_convs2_2_bias = const()[name = string("resblocks_6_convs2_2_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81338112)))]; |
| tensor<fp32, [64, 64, 3]> resblocks_6_convs2_2_weight = const()[name = string("resblocks_6_convs2_2_weight"), val = tensor<fp32, [64, 64, 3]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81338432)))]; |
| tensor<fp32, [64]> resblocks_7_convs1_0_bias = const()[name = string("resblocks_7_convs1_0_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81387648)))]; |
| tensor<fp32, [64, 64, 7]> resblocks_7_convs1_0_weight = const()[name = string("resblocks_7_convs1_0_weight"), val = tensor<fp32, [64, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81387968)))]; |
| tensor<fp32, [64]> resblocks_7_convs2_0_bias = const()[name = string("resblocks_7_convs2_0_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81502720)))]; |
| tensor<fp32, [64, 64, 7]> resblocks_7_convs2_0_weight = const()[name = string("resblocks_7_convs2_0_weight"), val = tensor<fp32, [64, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81503040)))]; |
| tensor<fp32, [64]> resblocks_7_convs1_1_bias = const()[name = string("resblocks_7_convs1_1_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81617792)))]; |
| tensor<fp32, [64, 64, 7]> resblocks_7_convs1_1_weight = const()[name = string("resblocks_7_convs1_1_weight"), val = tensor<fp32, [64, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81618112)))]; |
| tensor<fp32, [64]> resblocks_7_convs2_1_bias = const()[name = string("resblocks_7_convs2_1_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81732864)))]; |
| tensor<fp32, [64, 64, 7]> resblocks_7_convs2_1_weight = const()[name = string("resblocks_7_convs2_1_weight"), val = tensor<fp32, [64, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81733184)))]; |
| tensor<fp32, [64]> resblocks_7_convs1_2_bias = const()[name = string("resblocks_7_convs1_2_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81847936)))]; |
| tensor<fp32, [64, 64, 7]> resblocks_7_convs1_2_weight = const()[name = string("resblocks_7_convs1_2_weight"), val = tensor<fp32, [64, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81848256)))]; |
| tensor<fp32, [64]> resblocks_7_convs2_2_bias = const()[name = string("resblocks_7_convs2_2_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81963008)))]; |
| tensor<fp32, [64, 64, 7]> resblocks_7_convs2_2_weight = const()[name = string("resblocks_7_convs2_2_weight"), val = tensor<fp32, [64, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81963328)))]; |
| tensor<fp32, [64]> resblocks_8_convs1_0_bias = const()[name = string("resblocks_8_convs1_0_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82078080)))]; |
| tensor<fp32, [64, 64, 11]> resblocks_8_convs1_0_weight = const()[name = string("resblocks_8_convs1_0_weight"), val = tensor<fp32, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82078400)))]; |
| tensor<fp32, [64]> resblocks_8_convs2_0_bias = const()[name = string("resblocks_8_convs2_0_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82258688)))]; |
| tensor<fp32, [64, 64, 11]> resblocks_8_convs2_0_weight = const()[name = string("resblocks_8_convs2_0_weight"), val = tensor<fp32, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82259008)))]; |
| tensor<fp32, [64]> resblocks_8_convs1_1_bias = const()[name = string("resblocks_8_convs1_1_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82439296)))]; |
| tensor<fp32, [64, 64, 11]> resblocks_8_convs1_1_weight = const()[name = string("resblocks_8_convs1_1_weight"), val = tensor<fp32, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82439616)))]; |
| tensor<fp32, [64]> resblocks_8_convs2_1_bias = const()[name = string("resblocks_8_convs2_1_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82619904)))]; |
| tensor<fp32, [64, 64, 11]> resblocks_8_convs2_1_weight = const()[name = string("resblocks_8_convs2_1_weight"), val = tensor<fp32, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82620224)))]; |
| tensor<fp32, [64]> resblocks_8_convs1_2_bias = const()[name = string("resblocks_8_convs1_2_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82800512)))]; |
| tensor<fp32, [64, 64, 11]> resblocks_8_convs1_2_weight = const()[name = string("resblocks_8_convs1_2_weight"), val = tensor<fp32, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82800832)))]; |
| tensor<fp32, [64]> resblocks_8_convs2_2_bias = const()[name = string("resblocks_8_convs2_2_bias"), val = tensor<fp32, [64]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82981120)))]; |
| tensor<fp32, [64, 64, 11]> resblocks_8_convs2_2_weight = const()[name = string("resblocks_8_convs2_2_weight"), val = tensor<fp32, [64, 64, 11]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82981440)))]; |
| tensor<fp32, [18]> conv_post_bias = const()[name = string("conv_post_bias"), val = tensor<fp32, [18]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83161728)))]; |
| tensor<fp32, [18, 64, 7]> conv_post_weight = const()[name = string("conv_post_weight"), val = tensor<fp32, [18, 64, 7]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83161920)))]; |
| fp32 var_49 = const()[name = string("op_49"), val = fp32(0x1p+0)]; |
| string input_1_pad_type_0 = const()[name = string("input_1_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> input_1_pad_0 = const()[name = string("input_1_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> input_1_strides_0 = const()[name = string("input_1_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> input_1_dilations_0 = const()[name = string("input_1_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 input_1_groups_0 = const()[name = string("input_1_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 512, ?]> input_1 = conv(bias = f0_predictor_condnet_0_bias, dilations = input_1_dilations_0, groups = input_1_groups_0, pad = input_1_pad_0, pad_type = input_1_pad_type_0, strides = input_1_strides_0, weight = f0_predictor_condnet_0_weight, x = mel)[name = string("input_1")]; |
| tensor<fp32, [1, 512, ?]> input_3 = elu(alpha = var_49, x = input_1)[name = string("input_3")]; |
| string input_5_pad_type_0 = const()[name = string("input_5_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> input_5_pad_0 = const()[name = string("input_5_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> input_5_strides_0 = const()[name = string("input_5_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> input_5_dilations_0 = const()[name = string("input_5_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 input_5_groups_0 = const()[name = string("input_5_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 512, ?]> input_5 = conv(bias = f0_predictor_condnet_2_bias, dilations = input_5_dilations_0, groups = input_5_groups_0, pad = input_5_pad_0, pad_type = input_5_pad_type_0, strides = input_5_strides_0, weight = f0_predictor_condnet_2_weight, x = input_3)[name = string("input_5")]; |
| tensor<fp32, [1, 512, ?]> input_7 = elu(alpha = var_49, x = input_5)[name = string("input_7")]; |
| string input_9_pad_type_0 = const()[name = string("input_9_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> input_9_pad_0 = const()[name = string("input_9_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> input_9_strides_0 = const()[name = string("input_9_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> input_9_dilations_0 = const()[name = string("input_9_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 input_9_groups_0 = const()[name = string("input_9_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 512, ?]> input_9 = conv(bias = f0_predictor_condnet_4_bias, dilations = input_9_dilations_0, groups = input_9_groups_0, pad = input_9_pad_0, pad_type = input_9_pad_type_0, strides = input_9_strides_0, weight = f0_predictor_condnet_4_weight, x = input_7)[name = string("input_9")]; |
| tensor<fp32, [1, 512, ?]> input_11 = elu(alpha = var_49, x = input_9)[name = string("input_11")]; |
| string input_13_pad_type_0 = const()[name = string("input_13_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> input_13_pad_0 = const()[name = string("input_13_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> input_13_strides_0 = const()[name = string("input_13_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> input_13_dilations_0 = const()[name = string("input_13_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 input_13_groups_0 = const()[name = string("input_13_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 512, ?]> input_13 = conv(bias = f0_predictor_condnet_6_bias, dilations = input_13_dilations_0, groups = input_13_groups_0, pad = input_13_pad_0, pad_type = input_13_pad_type_0, strides = input_13_strides_0, weight = f0_predictor_condnet_6_weight, x = input_11)[name = string("input_13")]; |
| tensor<fp32, [1, 512, ?]> input_15 = elu(alpha = var_49, x = input_13)[name = string("input_15")]; |
| string input_17_pad_type_0 = const()[name = string("input_17_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> input_17_pad_0 = const()[name = string("input_17_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> input_17_strides_0 = const()[name = string("input_17_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> input_17_dilations_0 = const()[name = string("input_17_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 input_17_groups_0 = const()[name = string("input_17_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 512, ?]> input_17 = conv(bias = f0_predictor_condnet_8_bias, dilations = input_17_dilations_0, groups = input_17_groups_0, pad = input_17_pad_0, pad_type = input_17_pad_type_0, strides = input_17_strides_0, weight = f0_predictor_condnet_8_weight, x = input_15)[name = string("input_17")]; |
| tensor<fp32, [1, 512, ?]> x_1 = elu(alpha = var_49, x = input_17)[name = string("x_1")]; |
| tensor<int32, [3]> input_19_perm_0 = const()[name = string("input_19_perm_0"), val = tensor<int32, [3]>([0, 2, 1])]; |
| tensor<fp32, [1, ?, 512]> input_19 = transpose(perm = input_19_perm_0, x = x_1)[name = string("transpose_2")]; |
| tensor<fp32, [1, ?, 1]> var_100 = linear(bias = f0_predictor_classifier_bias, weight = f0_predictor_classifier_weight, x = input_19)[name = string("linear_0")]; |
| tensor<int32, [1]> var_101_axes_0 = const()[name = string("op_101_axes_0"), val = tensor<int32, [1]>([-1])]; |
| tensor<fp32, [1, ?]> var_101 = squeeze(axes = var_101_axes_0, x = var_100)[name = string("op_101")]; |
| tensor<fp32, [1, ?]> f0 = abs(x = var_101)[name = string("f0")]; |
| tensor<int32, [1]> input_21_axes_0 = const()[name = string("input_21_axes_0"), val = tensor<int32, [1]>([1])]; |
| tensor<fp32, [1, 1, ?]> input_21 = expand_dims(axes = input_21_axes_0, x = f0)[name = string("input_21")]; |
| tensor<int32, [1]> expand_dims_0_axes_0 = const()[name = string("expand_dims_0_axes_0"), val = tensor<int32, [1]>([3])]; |
| tensor<fp32, [1, 1, ?, 1]> expand_dims_0 = expand_dims(axes = expand_dims_0_axes_0, x = input_21)[name = string("expand_dims_0")]; |
| int32 upsample_nearest_neighbor_0_scale_factor_height_0 = const()[name = string("upsample_nearest_neighbor_0_scale_factor_height_0"), val = int32(480)]; |
| int32 upsample_nearest_neighbor_0_scale_factor_width_0 = const()[name = string("upsample_nearest_neighbor_0_scale_factor_width_0"), val = int32(1)]; |
| tensor<fp32, [1, 1, ?, 1]> upsample_nearest_neighbor_0 = upsample_nearest_neighbor(scale_factor_height = upsample_nearest_neighbor_0_scale_factor_height_0, scale_factor_width = upsample_nearest_neighbor_0_scale_factor_width_0, x = expand_dims_0)[name = string("upsample_nearest_neighbor_0")]; |
| tensor<int32, [1]> var_113_axes_0 = const()[name = string("op_113_axes_0"), val = tensor<int32, [1]>([3])]; |
| tensor<fp32, [1, 1, ?]> var_113 = squeeze(axes = var_113_axes_0, x = upsample_nearest_neighbor_0)[name = string("op_113")]; |
| tensor<int32, [3]> s_perm_0 = const()[name = string("s_perm_0"), val = tensor<int32, [3]>([0, 2, 1])]; |
| tensor<int32, [1]> f0_up_axes_0 = const()[name = string("f0_up_axes_0"), val = tensor<int32, [1]>([-1])]; |
| tensor<fp32, [1, ?, 1]> s = transpose(perm = s_perm_0, x = var_113)[name = string("transpose_1")]; |
| tensor<fp32, [1, ?]> f0_up = squeeze(axes = f0_up_axes_0, x = s)[name = string("f0_up")]; |
| tensor<int32, [1]> var_127_axes_0 = const()[name = string("op_127_axes_0"), val = tensor<int32, [1]>([-1])]; |
| tensor<fp32, [1, ?, 1]> var_127 = expand_dims(axes = var_127_axes_0, x = f0_up)[name = string("op_127")]; |
| tensor<fp32, [1, 1, 9]> var_131_promoted = const()[name = string("op_131_promoted"), val = tensor<fp32, [1, 1, 9]>([[[0x1p+0, 0x1p+1, 0x1.8p+1, 0x1p+2, 0x1.4p+2, 0x1.8p+2, 0x1.cp+2, 0x1p+3, 0x1.2p+3]]])]; |
| tensor<fp32, [1, ?, 9]> f0_harmonics = mul(x = var_127, y = var_131_promoted)[name = string("f0_harmonics")]; |
| fp32 _inversed_134_y_0 = const()[name = string("_inversed_134_y_0"), val = fp32(0x1.5d867cp-15)]; |
| tensor<fp32, [1, ?, 9]> _inversed_134 = mul(x = f0_harmonics, y = _inversed_134_y_0)[name = string("_inversed_134")]; |
| int32 var_135 = const()[name = string("op_135"), val = int32(1)]; |
| bool var_137_exclusive_0 = const()[name = string("op_137_exclusive_0"), val = bool(false)]; |
| bool var_137_reverse_0 = const()[name = string("op_137_reverse_0"), val = bool(false)]; |
| tensor<fp32, [1, ?, 9]> var_137 = cumsum(axis = var_135, exclusive = var_137_exclusive_0, reverse = var_137_reverse_0, x = _inversed_134)[name = string("op_137")]; |
| fp32 var_138 = const()[name = string("op_138"), val = fp32(0x1.921fb6p+2)]; |
| tensor<fp32, [1, ?, 9]> phase = mul(x = var_137, y = var_138)[name = string("phase")]; |
| tensor<fp32, [1, ?, 9]> var_140 = sin(x = phase)[name = string("op_140")]; |
| fp32 var_141 = const()[name = string("op_141"), val = fp32(0x1.99999ap-4)]; |
| tensor<fp32, [1, ?, 9]> sine_waves = mul(x = var_140, y = var_141)[name = string("sine_waves")]; |
| fp32 var_143 = const()[name = string("op_143"), val = fp32(0x1.4p+3)]; |
| tensor<bool, [1, ?]> var_144 = greater(x = f0_up, y = var_143)[name = string("op_144")]; |
| string var_149_dtype_0 = const()[name = string("op_149_dtype_0"), val = string("fp32")]; |
| tensor<int32, [1]> uv_axes_0 = const()[name = string("uv_axes_0"), val = tensor<int32, [1]>([-1])]; |
| tensor<fp32, [1, ?]> var_149 = cast(dtype = var_149_dtype_0, x = var_144)[name = string("cast_11")]; |
| tensor<fp32, [1, ?, 1]> uv = expand_dims(axes = uv_axes_0, x = var_149)[name = string("uv")]; |
| tensor<fp32, [1, ?, 9]> input_23 = mul(x = sine_waves, y = uv)[name = string("input_23")]; |
| tensor<fp32, [1, ?, 1]> var_155 = linear(bias = l_linear_bias, weight = l_linear_weight, x = input_23)[name = string("linear_1")]; |
| tensor<fp32, [1, ?, 1]> var_156 = tanh(x = var_155)[name = string("op_156")]; |
| tensor<int32, [3]> source_perm_0 = const()[name = string("source_perm_0"), val = tensor<int32, [3]>([0, 2, 1])]; |
| tensor<int32, [1]> input_25_axes_0 = const()[name = string("input_25_axes_0"), val = tensor<int32, [1]>([1])]; |
| tensor<fp32, [1, 1, ?]> source = transpose(perm = source_perm_0, x = var_156)[name = string("transpose_0")]; |
| tensor<fp32, [1, ?]> input_25 = squeeze(axes = input_25_axes_0, x = source)[name = string("input_25")]; |
| tensor<int32, [3]> concat_0x = const()[name = string("concat_0x"), val = tensor<int32, [3]>([1, 1, -1])]; |
| tensor<fp32, [1, 1, ?]> input_27 = reshape(shape = concat_0x, x = input_25)[name = string("input_27")]; |
| fp32 const_1 = const()[name = string("const_1"), val = fp32(0x0p+0)]; |
| tensor<int32, [6]> input_29_pad_0 = const()[name = string("input_29_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 8, 8])]; |
| string input_29_mode_0 = const()[name = string("input_29_mode_0"), val = string("reflect")]; |
| tensor<fp32, [1, 1, ?]> input_29 = pad(constant_val = const_1, mode = input_29_mode_0, pad = input_29_pad_0, x = input_27)[name = string("input_29")]; |
| tensor<int32, [2]> concat_1x = const()[name = string("concat_1x"), val = tensor<int32, [2]>([1, -1])]; |
| tensor<fp32, [1, ?]> input_31 = reshape(shape = concat_1x, x = input_29)[name = string("input_31")]; |
| tensor<fp32, [9, 1, 16]> expand_dims_1 = const()[name = string("expand_dims_1"), val = tensor<fp32, [9, 1, 16]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83194240)))]; |
| tensor<fp32, [9, 1, 16]> expand_dims_2 = const()[name = string("expand_dims_2"), val = tensor<fp32, [9, 1, 16]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83194880)))]; |
| tensor<int32, [1]> expand_dims_3 = const()[name = string("expand_dims_3"), val = tensor<int32, [1]>([4])]; |
| tensor<int32, [1]> expand_dims_4_axes_0 = const()[name = string("expand_dims_4_axes_0"), val = tensor<int32, [1]>([1])]; |
| tensor<fp32, [1, 1, ?]> expand_dims_4 = expand_dims(axes = expand_dims_4_axes_0, x = input_31)[name = string("expand_dims_4")]; |
| string conv_0_pad_type_0 = const()[name = string("conv_0_pad_type_0"), val = string("valid")]; |
| tensor<int32, [2]> conv_0_pad_0 = const()[name = string("conv_0_pad_0"), val = tensor<int32, [2]>([0, 0])]; |
| tensor<int32, [1]> conv_0_dilations_0 = const()[name = string("conv_0_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 conv_0_groups_0 = const()[name = string("conv_0_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 9, ?]> conv_0 = conv(dilations = conv_0_dilations_0, groups = conv_0_groups_0, pad = conv_0_pad_0, pad_type = conv_0_pad_type_0, strides = expand_dims_3, weight = expand_dims_1, x = expand_dims_4)[name = string("conv_0")]; |
| string conv_1_pad_type_0 = const()[name = string("conv_1_pad_type_0"), val = string("valid")]; |
| tensor<int32, [2]> conv_1_pad_0 = const()[name = string("conv_1_pad_0"), val = tensor<int32, [2]>([0, 0])]; |
| tensor<int32, [1]> conv_1_dilations_0 = const()[name = string("conv_1_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 conv_1_groups_0 = const()[name = string("conv_1_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 9, ?]> conv_1 = conv(dilations = conv_1_dilations_0, groups = conv_1_groups_0, pad = conv_1_pad_0, pad_type = conv_1_pad_type_0, strides = expand_dims_3, weight = expand_dims_2, x = expand_dims_4)[name = string("conv_1")]; |
| int32 var_200 = const()[name = string("op_200"), val = int32(1)]; |
| bool input_37_interleave_0 = const()[name = string("input_37_interleave_0"), val = bool(false)]; |
| tensor<fp32, [1, 18, ?]> input_37 = concat(axis = var_200, interleave = input_37_interleave_0, values = (conv_0, conv_1))[name = string("input_37")]; |
| string input_33_pad_type_0 = const()[name = string("input_33_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> input_33_pad_0 = const()[name = string("input_33_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> input_33_strides_0 = const()[name = string("input_33_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> input_33_dilations_0 = const()[name = string("input_33_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 input_33_groups_0 = const()[name = string("input_33_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 512, ?]> input_33 = conv(bias = conv_pre_bias, dilations = input_33_dilations_0, groups = input_33_groups_0, pad = input_33_pad_0, pad_type = input_33_pad_type_0, strides = input_33_strides_0, weight = conv_pre_weight, x = mel)[name = string("input_33")]; |
| fp32 var_214 = const()[name = string("op_214"), val = fp32(0x1.99999ap-4)]; |
| tensor<fp32, [1, 512, ?]> input_35 = leaky_relu(alpha = var_214, x = input_33)[name = string("input_35")]; |
| string x_15_pad_type_0 = const()[name = string("x_15_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_15_pad_0 = const()[name = string("x_15_pad_0"), val = tensor<int32, [2]>([4, 4])]; |
| tensor<int32, [1]> x_15_strides_0 = const()[name = string("x_15_strides_0"), val = tensor<int32, [1]>([8])]; |
| tensor<int32, [1]> x_15_dilations_0 = const()[name = string("x_15_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_15_groups_0 = const()[name = string("x_15_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> x_15 = conv_transpose(bias = ups_0_bias, dilations = x_15_dilations_0, groups = x_15_groups_0, pad = x_15_pad_0, pad_type = x_15_pad_type_0, strides = x_15_strides_0, weight = ups_0_weight, x = input_35)[name = string("x_15")]; |
| string x_3_pad_type_0 = const()[name = string("x_3_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_3_pad_0 = const()[name = string("x_3_pad_0"), val = tensor<int32, [2]>([7, 7])]; |
| tensor<int32, [1]> x_3_strides_0 = const()[name = string("x_3_strides_0"), val = tensor<int32, [1]>([15])]; |
| 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<fp32, [1, 256, ?]> x_3 = conv(bias = source_downs_0_bias, dilations = x_3_dilations_0, groups = x_3_groups_0, pad = x_3_pad_0, pad_type = x_3_pad_type_0, strides = x_3_strides_0, weight = source_downs_0_weight, x = input_37)[name = string("x_3")]; |
| tensor<fp32, [1, 256, 1]> alpha_1 = const()[name = string("alpha_1"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83195520)))]; |
| tensor<fp32, [1, 256, 1]> var_281 = const()[name = string("op_281"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83196608)))]; |
| tensor<fp32, [1, 256, ?]> var_284 = mul(x = x_3, y = alpha_1)[name = string("op_284")]; |
| tensor<fp32, [1, 256, ?]> var_285 = sin(x = var_284)[name = string("op_285")]; |
| fp32 var_251_promoted = const()[name = string("op_251_promoted"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_286 = pow(x = var_285, y = var_251_promoted)[name = string("op_286")]; |
| tensor<fp32, [1, 256, ?]> var_287 = mul(x = var_281, y = var_286)[name = string("op_287")]; |
| tensor<fp32, [1, 256, ?]> input_39 = add(x = x_3, y = var_287)[name = string("input_39")]; |
| string x_5_pad_type_0 = const()[name = string("x_5_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_5_pad_0 = const()[name = string("x_5_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> x_5_strides_0 = const()[name = string("x_5_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> x_5_dilations_0 = const()[name = string("x_5_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_5_groups_0 = const()[name = string("x_5_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> x_5 = conv(bias = source_resblocks_0_convs1_0_bias, dilations = x_5_dilations_0, groups = x_5_groups_0, pad = x_5_pad_0, pad_type = x_5_pad_type_0, strides = x_5_strides_0, weight = source_resblocks_0_convs1_0_weight, x = input_39)[name = string("x_5")]; |
| tensor<fp32, [1, 256, 1]> alpha_3 = const()[name = string("alpha_3"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83197696)))]; |
| tensor<fp32, [1, 256, 1]> var_301 = const()[name = string("op_301"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83198784)))]; |
| tensor<fp32, [1, 256, ?]> var_304 = mul(x = x_5, y = alpha_3)[name = string("op_304")]; |
| tensor<fp32, [1, 256, ?]> var_305 = sin(x = var_304)[name = string("op_305")]; |
| fp32 var_251_promoted_1 = const()[name = string("op_251_promoted_1"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_306 = pow(x = var_305, y = var_251_promoted_1)[name = string("op_306")]; |
| tensor<fp32, [1, 256, ?]> var_307 = mul(x = var_301, y = var_306)[name = string("op_307")]; |
| tensor<fp32, [1, 256, ?]> input_41 = add(x = x_5, y = var_307)[name = string("input_41")]; |
| string xt_1_pad_type_0 = const()[name = string("xt_1_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_1_pad_0 = const()[name = string("xt_1_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_1_strides_0 = const()[name = string("xt_1_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_1_dilations_0 = const()[name = string("xt_1_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_1_groups_0 = const()[name = string("xt_1_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> xt_1 = conv(bias = source_resblocks_0_convs2_0_bias, dilations = xt_1_dilations_0, groups = xt_1_groups_0, pad = xt_1_pad_0, pad_type = xt_1_pad_type_0, strides = xt_1_strides_0, weight = source_resblocks_0_convs2_0_weight, x = input_41)[name = string("xt_1")]; |
| tensor<fp32, [1, 256, ?]> x_7 = add(x = xt_1, y = x_3)[name = string("x_7")]; |
| tensor<fp32, [1, 256, 1]> alpha_5 = const()[name = string("alpha_5"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83199872)))]; |
| tensor<fp32, [1, 256, 1]> var_322 = const()[name = string("op_322"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83200960)))]; |
| tensor<fp32, [1, 256, ?]> var_325 = mul(x = x_7, y = alpha_5)[name = string("op_325")]; |
| tensor<fp32, [1, 256, ?]> var_326 = sin(x = var_325)[name = string("op_326")]; |
| fp32 var_251_promoted_2 = const()[name = string("op_251_promoted_2"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_327 = pow(x = var_326, y = var_251_promoted_2)[name = string("op_327")]; |
| tensor<fp32, [1, 256, ?]> var_328 = mul(x = var_322, y = var_327)[name = string("op_328")]; |
| tensor<fp32, [1, 256, ?]> input_43 = add(x = x_7, y = var_328)[name = string("input_43")]; |
| string x_9_pad_type_0 = const()[name = string("x_9_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_9_pad_0 = const()[name = string("x_9_pad_0"), val = tensor<int32, [2]>([9, 9])]; |
| tensor<int32, [1]> x_9_dilations_0 = const()[name = string("x_9_dilations_0"), val = tensor<int32, [1]>([3])]; |
| tensor<int32, [1]> x_9_strides_0 = const()[name = string("x_9_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_9_groups_0 = const()[name = string("x_9_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> x_9 = conv(bias = source_resblocks_0_convs1_1_bias, dilations = x_9_dilations_0, groups = x_9_groups_0, pad = x_9_pad_0, pad_type = x_9_pad_type_0, strides = x_9_strides_0, weight = source_resblocks_0_convs1_1_weight, x = input_43)[name = string("x_9")]; |
| tensor<fp32, [1, 256, 1]> alpha_7 = const()[name = string("alpha_7"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83202048)))]; |
| tensor<fp32, [1, 256, 1]> var_342 = const()[name = string("op_342"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83203136)))]; |
| tensor<fp32, [1, 256, ?]> var_345 = mul(x = x_9, y = alpha_7)[name = string("op_345")]; |
| tensor<fp32, [1, 256, ?]> var_346 = sin(x = var_345)[name = string("op_346")]; |
| fp32 var_251_promoted_3 = const()[name = string("op_251_promoted_3"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_347 = pow(x = var_346, y = var_251_promoted_3)[name = string("op_347")]; |
| tensor<fp32, [1, 256, ?]> var_348 = mul(x = var_342, y = var_347)[name = string("op_348")]; |
| tensor<fp32, [1, 256, ?]> input_45 = add(x = x_9, y = var_348)[name = string("input_45")]; |
| string xt_3_pad_type_0 = const()[name = string("xt_3_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_3_pad_0 = const()[name = string("xt_3_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_3_strides_0 = const()[name = string("xt_3_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_3_dilations_0 = const()[name = string("xt_3_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_3_groups_0 = const()[name = string("xt_3_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> xt_3 = conv(bias = source_resblocks_0_convs2_1_bias, dilations = xt_3_dilations_0, groups = xt_3_groups_0, pad = xt_3_pad_0, pad_type = xt_3_pad_type_0, strides = xt_3_strides_0, weight = source_resblocks_0_convs2_1_weight, x = input_45)[name = string("xt_3")]; |
| tensor<fp32, [1, 256, ?]> x_11 = add(x = xt_3, y = x_7)[name = string("x_11")]; |
| tensor<fp32, [1, 256, 1]> alpha_9 = const()[name = string("alpha_9"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83204224)))]; |
| tensor<fp32, [1, 256, 1]> var_363 = const()[name = string("op_363"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83205312)))]; |
| tensor<fp32, [1, 256, ?]> var_366 = mul(x = x_11, y = alpha_9)[name = string("op_366")]; |
| tensor<fp32, [1, 256, ?]> var_367 = sin(x = var_366)[name = string("op_367")]; |
| fp32 var_251_promoted_4 = const()[name = string("op_251_promoted_4"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_368 = pow(x = var_367, y = var_251_promoted_4)[name = string("op_368")]; |
| tensor<fp32, [1, 256, ?]> var_369 = mul(x = var_363, y = var_368)[name = string("op_369")]; |
| tensor<fp32, [1, 256, ?]> input_47 = add(x = x_11, y = var_369)[name = string("input_47")]; |
| string x_13_pad_type_0 = const()[name = string("x_13_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_13_pad_0 = const()[name = string("x_13_pad_0"), val = tensor<int32, [2]>([15, 15])]; |
| tensor<int32, [1]> x_13_dilations_0 = const()[name = string("x_13_dilations_0"), val = tensor<int32, [1]>([5])]; |
| tensor<int32, [1]> x_13_strides_0 = const()[name = string("x_13_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_13_groups_0 = const()[name = string("x_13_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> x_13 = conv(bias = source_resblocks_0_convs1_2_bias, 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 = source_resblocks_0_convs1_2_weight, x = input_47)[name = string("x_13")]; |
| tensor<fp32, [1, 256, 1]> alpha_11 = const()[name = string("alpha_11"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83206400)))]; |
| tensor<fp32, [1, 256, 1]> var_383 = const()[name = string("op_383"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83207488)))]; |
| tensor<fp32, [1, 256, ?]> var_386 = mul(x = x_13, y = alpha_11)[name = string("op_386")]; |
| tensor<fp32, [1, 256, ?]> var_387 = sin(x = var_386)[name = string("op_387")]; |
| fp32 var_251_promoted_5 = const()[name = string("op_251_promoted_5"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_388 = pow(x = var_387, y = var_251_promoted_5)[name = string("op_388")]; |
| tensor<fp32, [1, 256, ?]> var_389 = mul(x = var_383, y = var_388)[name = string("op_389")]; |
| tensor<fp32, [1, 256, ?]> input_49 = add(x = x_13, y = var_389)[name = string("input_49")]; |
| string xt_5_pad_type_0 = const()[name = string("xt_5_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_5_pad_0 = const()[name = string("xt_5_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_5_strides_0 = const()[name = string("xt_5_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_5_dilations_0 = const()[name = string("xt_5_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_5_groups_0 = const()[name = string("xt_5_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> xt_5 = conv(bias = source_resblocks_0_convs2_2_bias, dilations = xt_5_dilations_0, groups = xt_5_groups_0, pad = xt_5_pad_0, pad_type = xt_5_pad_type_0, strides = xt_5_strides_0, weight = source_resblocks_0_convs2_2_weight, x = input_49)[name = string("xt_5")]; |
| tensor<fp32, [1, 256, ?]> si_1 = add(x = xt_5, y = x_11)[name = string("si_1")]; |
| tensor<int32, [3]> var_400_shape = shape(x = si_1)[name = string("op_400_shape")]; |
| int32 gather_4_batch_dims_0 = const()[name = string("gather_4_batch_dims_0"), val = int32(0)]; |
| bool gather_4_validate_indices_0 = const()[name = string("gather_4_validate_indices_0"), val = bool(false)]; |
| int32 select_2 = const()[name = string("select_2"), val = int32(2)]; |
| int32 gather_4_axis_1 = const()[name = string("gather_4_axis_1"), val = int32(0)]; |
| int32 gather_4 = gather(axis = gather_4_axis_1, batch_dims = gather_4_batch_dims_0, indices = select_2, validate_indices = gather_4_validate_indices_0, x = var_400_shape)[name = string("gather_4")]; |
| int32 concat_2_values0_0 = const()[name = string("concat_2_values0_0"), val = int32(1)]; |
| int32 concat_2_values1_0 = const()[name = string("concat_2_values1_0"), val = int32(256)]; |
| int32 concat_2_axis_0 = const()[name = string("concat_2_axis_0"), val = int32(0)]; |
| bool concat_2_interleave_0 = const()[name = string("concat_2_interleave_0"), val = bool(false)]; |
| tensor<int32, [3]> concat_2 = concat(axis = concat_2_axis_0, interleave = concat_2_interleave_0, values = (concat_2_values0_0, concat_2_values1_0, gather_4))[name = string("concat_2")]; |
| tensor<int32, [3]> var_416_begin_0 = const()[name = string("op_416_begin_0"), val = tensor<int32, [3]>([0, 0, 0])]; |
| tensor<bool, [3]> var_416_end_mask_0 = const()[name = string("op_416_end_mask_0"), val = tensor<bool, [3]>([true, true, false])]; |
| tensor<fp32, [1, 256, ?]> var_416 = slice_by_index(begin = var_416_begin_0, end = concat_2, end_mask = var_416_end_mask_0, x = x_15)[name = string("op_416")]; |
| tensor<int32, [3]> var_418_shape = shape(x = x_15)[name = string("op_418_shape")]; |
| int32 gather_5_batch_dims_0 = const()[name = string("gather_5_batch_dims_0"), val = int32(0)]; |
| bool gather_5_validate_indices_0 = const()[name = string("gather_5_validate_indices_0"), val = bool(false)]; |
| int32 select_3 = const()[name = string("select_3"), val = int32(2)]; |
| int32 gather_5_axis_1 = const()[name = string("gather_5_axis_1"), val = int32(0)]; |
| int32 gather_5 = gather(axis = gather_5_axis_1, batch_dims = gather_5_batch_dims_0, indices = select_3, validate_indices = gather_5_validate_indices_0, x = var_418_shape)[name = string("gather_5")]; |
| int32 concat_3_values0_0 = const()[name = string("concat_3_values0_0"), val = int32(1)]; |
| int32 concat_3_values1_0 = const()[name = string("concat_3_values1_0"), val = int32(256)]; |
| int32 concat_3_axis_0 = const()[name = string("concat_3_axis_0"), val = int32(0)]; |
| bool concat_3_interleave_0 = const()[name = string("concat_3_interleave_0"), val = bool(false)]; |
| tensor<int32, [3]> concat_3 = concat(axis = concat_3_axis_0, interleave = concat_3_interleave_0, values = (concat_3_values0_0, concat_3_values1_0, gather_5))[name = string("concat_3")]; |
| tensor<int32, [3]> var_434_begin_0 = const()[name = string("op_434_begin_0"), val = tensor<int32, [3]>([0, 0, 0])]; |
| tensor<bool, [3]> var_434_end_mask_0 = const()[name = string("op_434_end_mask_0"), val = tensor<bool, [3]>([true, true, false])]; |
| tensor<fp32, [1, 256, ?]> var_434 = slice_by_index(begin = var_434_begin_0, end = concat_3, end_mask = var_434_end_mask_0, x = si_1)[name = string("op_434")]; |
| tensor<fp32, [1, 256, ?]> x_17 = add(x = var_416, y = var_434)[name = string("x_17")]; |
| tensor<fp32, [1, 256, 1]> alpha_13 = const()[name = string("alpha_13"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83208576)))]; |
| tensor<fp32, [1, 256, 1]> var_474 = const()[name = string("op_474"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83209664)))]; |
| tensor<fp32, [1, 256, ?]> var_477 = mul(x = x_17, y = alpha_13)[name = string("op_477")]; |
| tensor<fp32, [1, 256, ?]> var_478 = sin(x = var_477)[name = string("op_478")]; |
| fp32 var_444_promoted = const()[name = string("op_444_promoted"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_479 = pow(x = var_478, y = var_444_promoted)[name = string("op_479")]; |
| tensor<fp32, [1, 256, ?]> var_480 = mul(x = var_474, y = var_479)[name = string("op_480")]; |
| tensor<fp32, [1, 256, ?]> input_51 = add(x = x_17, y = var_480)[name = string("input_51")]; |
| string x_19_pad_type_0 = const()[name = string("x_19_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_19_pad_0 = const()[name = string("x_19_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> x_19_strides_0 = const()[name = string("x_19_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> x_19_dilations_0 = const()[name = string("x_19_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_19_groups_0 = const()[name = string("x_19_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> x_19 = conv(bias = resblocks_0_convs1_0_bias, 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 = resblocks_0_convs1_0_weight, x = input_51)[name = string("x_19")]; |
| tensor<fp32, [1, 256, 1]> alpha_15 = const()[name = string("alpha_15"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83210752)))]; |
| tensor<fp32, [1, 256, 1]> var_494 = const()[name = string("op_494"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83211840)))]; |
| tensor<fp32, [1, 256, ?]> var_497 = mul(x = x_19, y = alpha_15)[name = string("op_497")]; |
| tensor<fp32, [1, 256, ?]> var_498 = sin(x = var_497)[name = string("op_498")]; |
| fp32 var_444_promoted_1 = const()[name = string("op_444_promoted_1"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_499 = pow(x = var_498, y = var_444_promoted_1)[name = string("op_499")]; |
| tensor<fp32, [1, 256, ?]> var_500 = mul(x = var_494, y = var_499)[name = string("op_500")]; |
| tensor<fp32, [1, 256, ?]> input_53 = add(x = x_19, y = var_500)[name = string("input_53")]; |
| string xt_7_pad_type_0 = const()[name = string("xt_7_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_7_pad_0 = const()[name = string("xt_7_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> xt_7_strides_0 = const()[name = string("xt_7_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_7_dilations_0 = const()[name = string("xt_7_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_7_groups_0 = const()[name = string("xt_7_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> xt_7 = conv(bias = resblocks_0_convs2_0_bias, dilations = xt_7_dilations_0, groups = xt_7_groups_0, pad = xt_7_pad_0, pad_type = xt_7_pad_type_0, strides = xt_7_strides_0, weight = resblocks_0_convs2_0_weight, x = input_53)[name = string("xt_7")]; |
| tensor<fp32, [1, 256, ?]> x_21 = add(x = xt_7, y = x_17)[name = string("x_21")]; |
| tensor<fp32, [1, 256, 1]> alpha_17 = const()[name = string("alpha_17"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83212928)))]; |
| tensor<fp32, [1, 256, 1]> var_515 = const()[name = string("op_515"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83214016)))]; |
| tensor<fp32, [1, 256, ?]> var_518 = mul(x = x_21, y = alpha_17)[name = string("op_518")]; |
| tensor<fp32, [1, 256, ?]> var_519 = sin(x = var_518)[name = string("op_519")]; |
| fp32 var_444_promoted_2 = const()[name = string("op_444_promoted_2"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_520 = pow(x = var_519, y = var_444_promoted_2)[name = string("op_520")]; |
| tensor<fp32, [1, 256, ?]> var_521 = mul(x = var_515, y = var_520)[name = string("op_521")]; |
| tensor<fp32, [1, 256, ?]> input_55 = add(x = x_21, y = var_521)[name = string("input_55")]; |
| string x_23_pad_type_0 = const()[name = string("x_23_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_23_pad_0 = const()[name = string("x_23_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> x_23_dilations_0 = const()[name = string("x_23_dilations_0"), val = tensor<int32, [1]>([3])]; |
| tensor<int32, [1]> x_23_strides_0 = const()[name = string("x_23_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_23_groups_0 = const()[name = string("x_23_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> x_23 = conv(bias = resblocks_0_convs1_1_bias, dilations = x_23_dilations_0, groups = x_23_groups_0, pad = x_23_pad_0, pad_type = x_23_pad_type_0, strides = x_23_strides_0, weight = resblocks_0_convs1_1_weight, x = input_55)[name = string("x_23")]; |
| tensor<fp32, [1, 256, 1]> alpha_19 = const()[name = string("alpha_19"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83215104)))]; |
| tensor<fp32, [1, 256, 1]> var_535 = const()[name = string("op_535"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83216192)))]; |
| tensor<fp32, [1, 256, ?]> var_538 = mul(x = x_23, y = alpha_19)[name = string("op_538")]; |
| tensor<fp32, [1, 256, ?]> var_539 = sin(x = var_538)[name = string("op_539")]; |
| fp32 var_444_promoted_3 = const()[name = string("op_444_promoted_3"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_540 = pow(x = var_539, y = var_444_promoted_3)[name = string("op_540")]; |
| tensor<fp32, [1, 256, ?]> var_541 = mul(x = var_535, y = var_540)[name = string("op_541")]; |
| tensor<fp32, [1, 256, ?]> input_57 = add(x = x_23, y = var_541)[name = string("input_57")]; |
| string xt_9_pad_type_0 = const()[name = string("xt_9_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_9_pad_0 = const()[name = string("xt_9_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> xt_9_strides_0 = const()[name = string("xt_9_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_9_dilations_0 = const()[name = string("xt_9_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_9_groups_0 = const()[name = string("xt_9_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> xt_9 = conv(bias = resblocks_0_convs2_1_bias, dilations = xt_9_dilations_0, groups = xt_9_groups_0, pad = xt_9_pad_0, pad_type = xt_9_pad_type_0, strides = xt_9_strides_0, weight = resblocks_0_convs2_1_weight, x = input_57)[name = string("xt_9")]; |
| tensor<fp32, [1, 256, ?]> x_25 = add(x = xt_9, y = x_21)[name = string("x_25")]; |
| tensor<fp32, [1, 256, 1]> alpha_21 = const()[name = string("alpha_21"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83217280)))]; |
| tensor<fp32, [1, 256, 1]> var_556 = const()[name = string("op_556"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83218368)))]; |
| tensor<fp32, [1, 256, ?]> var_559 = mul(x = x_25, y = alpha_21)[name = string("op_559")]; |
| tensor<fp32, [1, 256, ?]> var_560 = sin(x = var_559)[name = string("op_560")]; |
| fp32 var_444_promoted_4 = const()[name = string("op_444_promoted_4"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_561 = pow(x = var_560, y = var_444_promoted_4)[name = string("op_561")]; |
| tensor<fp32, [1, 256, ?]> var_562 = mul(x = var_556, y = var_561)[name = string("op_562")]; |
| tensor<fp32, [1, 256, ?]> input_59 = add(x = x_25, y = var_562)[name = string("input_59")]; |
| string x_27_pad_type_0 = const()[name = string("x_27_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_27_pad_0 = const()[name = string("x_27_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> x_27_dilations_0 = const()[name = string("x_27_dilations_0"), val = tensor<int32, [1]>([5])]; |
| tensor<int32, [1]> x_27_strides_0 = const()[name = string("x_27_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_27_groups_0 = const()[name = string("x_27_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> x_27 = conv(bias = resblocks_0_convs1_2_bias, dilations = x_27_dilations_0, groups = x_27_groups_0, pad = x_27_pad_0, pad_type = x_27_pad_type_0, strides = x_27_strides_0, weight = resblocks_0_convs1_2_weight, x = input_59)[name = string("x_27")]; |
| tensor<fp32, [1, 256, 1]> alpha_23 = const()[name = string("alpha_23"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83219456)))]; |
| tensor<fp32, [1, 256, 1]> var_576 = const()[name = string("op_576"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83220544)))]; |
| tensor<fp32, [1, 256, ?]> var_579 = mul(x = x_27, y = alpha_23)[name = string("op_579")]; |
| tensor<fp32, [1, 256, ?]> var_580 = sin(x = var_579)[name = string("op_580")]; |
| fp32 var_444_promoted_5 = const()[name = string("op_444_promoted_5"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_581 = pow(x = var_580, y = var_444_promoted_5)[name = string("op_581")]; |
| tensor<fp32, [1, 256, ?]> var_582 = mul(x = var_576, y = var_581)[name = string("op_582")]; |
| tensor<fp32, [1, 256, ?]> input_61 = add(x = x_27, y = var_582)[name = string("input_61")]; |
| string xt_11_pad_type_0 = const()[name = string("xt_11_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_11_pad_0 = const()[name = string("xt_11_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> xt_11_strides_0 = const()[name = string("xt_11_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_11_dilations_0 = const()[name = string("xt_11_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_11_groups_0 = const()[name = string("xt_11_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> xt_11 = conv(bias = resblocks_0_convs2_2_bias, dilations = xt_11_dilations_0, groups = xt_11_groups_0, pad = xt_11_pad_0, pad_type = xt_11_pad_type_0, strides = xt_11_strides_0, weight = resblocks_0_convs2_2_weight, x = input_61)[name = string("xt_11")]; |
| tensor<fp32, [1, 256, ?]> xs_1 = add(x = xt_11, y = x_25)[name = string("xs_1")]; |
| tensor<fp32, [1, 256, 1]> alpha_25 = const()[name = string("alpha_25"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83221632)))]; |
| tensor<fp32, [1, 256, 1]> var_631 = const()[name = string("op_631"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83222720)))]; |
| tensor<fp32, [1, 256, ?]> var_634 = mul(x = x_17, y = alpha_25)[name = string("op_634")]; |
| tensor<fp32, [1, 256, ?]> var_635 = sin(x = var_634)[name = string("op_635")]; |
| fp32 var_601_promoted = const()[name = string("op_601_promoted"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_636 = pow(x = var_635, y = var_601_promoted)[name = string("op_636")]; |
| tensor<fp32, [1, 256, ?]> var_637 = mul(x = var_631, y = var_636)[name = string("op_637")]; |
| tensor<fp32, [1, 256, ?]> input_63 = add(x = x_17, y = var_637)[name = string("input_63")]; |
| string x_29_pad_type_0 = const()[name = string("x_29_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_29_pad_0 = const()[name = string("x_29_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> x_29_strides_0 = const()[name = string("x_29_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> x_29_dilations_0 = const()[name = string("x_29_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_29_groups_0 = const()[name = string("x_29_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> x_29 = conv(bias = resblocks_1_convs1_0_bias, dilations = x_29_dilations_0, groups = x_29_groups_0, pad = x_29_pad_0, pad_type = x_29_pad_type_0, strides = x_29_strides_0, weight = resblocks_1_convs1_0_weight, x = input_63)[name = string("x_29")]; |
| tensor<fp32, [1, 256, 1]> alpha_27 = const()[name = string("alpha_27"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83223808)))]; |
| tensor<fp32, [1, 256, 1]> var_651 = const()[name = string("op_651"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83224896)))]; |
| tensor<fp32, [1, 256, ?]> var_654 = mul(x = x_29, y = alpha_27)[name = string("op_654")]; |
| tensor<fp32, [1, 256, ?]> var_655 = sin(x = var_654)[name = string("op_655")]; |
| fp32 var_601_promoted_1 = const()[name = string("op_601_promoted_1"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_656 = pow(x = var_655, y = var_601_promoted_1)[name = string("op_656")]; |
| tensor<fp32, [1, 256, ?]> var_657 = mul(x = var_651, y = var_656)[name = string("op_657")]; |
| tensor<fp32, [1, 256, ?]> input_65 = add(x = x_29, y = var_657)[name = string("input_65")]; |
| string xt_13_pad_type_0 = const()[name = string("xt_13_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_13_pad_0 = const()[name = string("xt_13_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_13_strides_0 = const()[name = string("xt_13_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_13_dilations_0 = const()[name = string("xt_13_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_13_groups_0 = const()[name = string("xt_13_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> xt_13 = conv(bias = resblocks_1_convs2_0_bias, dilations = xt_13_dilations_0, groups = xt_13_groups_0, pad = xt_13_pad_0, pad_type = xt_13_pad_type_0, strides = xt_13_strides_0, weight = resblocks_1_convs2_0_weight, x = input_65)[name = string("xt_13")]; |
| tensor<fp32, [1, 256, ?]> x_31 = add(x = xt_13, y = x_17)[name = string("x_31")]; |
| tensor<fp32, [1, 256, 1]> alpha_29 = const()[name = string("alpha_29"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83225984)))]; |
| tensor<fp32, [1, 256, 1]> var_672 = const()[name = string("op_672"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83227072)))]; |
| tensor<fp32, [1, 256, ?]> var_675 = mul(x = x_31, y = alpha_29)[name = string("op_675")]; |
| tensor<fp32, [1, 256, ?]> var_676 = sin(x = var_675)[name = string("op_676")]; |
| fp32 var_601_promoted_2 = const()[name = string("op_601_promoted_2"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_677 = pow(x = var_676, y = var_601_promoted_2)[name = string("op_677")]; |
| tensor<fp32, [1, 256, ?]> var_678 = mul(x = var_672, y = var_677)[name = string("op_678")]; |
| tensor<fp32, [1, 256, ?]> input_67 = add(x = x_31, y = var_678)[name = string("input_67")]; |
| string x_33_pad_type_0 = const()[name = string("x_33_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_33_pad_0 = const()[name = string("x_33_pad_0"), val = tensor<int32, [2]>([9, 9])]; |
| tensor<int32, [1]> x_33_dilations_0 = const()[name = string("x_33_dilations_0"), val = tensor<int32, [1]>([3])]; |
| tensor<int32, [1]> x_33_strides_0 = const()[name = string("x_33_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_33_groups_0 = const()[name = string("x_33_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> x_33 = conv(bias = resblocks_1_convs1_1_bias, dilations = x_33_dilations_0, groups = x_33_groups_0, pad = x_33_pad_0, pad_type = x_33_pad_type_0, strides = x_33_strides_0, weight = resblocks_1_convs1_1_weight, x = input_67)[name = string("x_33")]; |
| tensor<fp32, [1, 256, 1]> alpha_31 = const()[name = string("alpha_31"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83228160)))]; |
| tensor<fp32, [1, 256, 1]> var_692 = const()[name = string("op_692"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83229248)))]; |
| tensor<fp32, [1, 256, ?]> var_695 = mul(x = x_33, y = alpha_31)[name = string("op_695")]; |
| tensor<fp32, [1, 256, ?]> var_696 = sin(x = var_695)[name = string("op_696")]; |
| fp32 var_601_promoted_3 = const()[name = string("op_601_promoted_3"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_697 = pow(x = var_696, y = var_601_promoted_3)[name = string("op_697")]; |
| tensor<fp32, [1, 256, ?]> var_698 = mul(x = var_692, y = var_697)[name = string("op_698")]; |
| tensor<fp32, [1, 256, ?]> input_69 = add(x = x_33, y = var_698)[name = string("input_69")]; |
| string xt_15_pad_type_0 = const()[name = string("xt_15_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_15_pad_0 = const()[name = string("xt_15_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_15_strides_0 = const()[name = string("xt_15_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_15_dilations_0 = const()[name = string("xt_15_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_15_groups_0 = const()[name = string("xt_15_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> xt_15 = conv(bias = resblocks_1_convs2_1_bias, dilations = xt_15_dilations_0, groups = xt_15_groups_0, pad = xt_15_pad_0, pad_type = xt_15_pad_type_0, strides = xt_15_strides_0, weight = resblocks_1_convs2_1_weight, x = input_69)[name = string("xt_15")]; |
| tensor<fp32, [1, 256, ?]> x_35 = add(x = xt_15, y = x_31)[name = string("x_35")]; |
| tensor<fp32, [1, 256, 1]> alpha_33 = const()[name = string("alpha_33"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83230336)))]; |
| tensor<fp32, [1, 256, 1]> var_713 = const()[name = string("op_713"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83231424)))]; |
| tensor<fp32, [1, 256, ?]> var_716 = mul(x = x_35, y = alpha_33)[name = string("op_716")]; |
| tensor<fp32, [1, 256, ?]> var_717 = sin(x = var_716)[name = string("op_717")]; |
| fp32 var_601_promoted_4 = const()[name = string("op_601_promoted_4"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_718 = pow(x = var_717, y = var_601_promoted_4)[name = string("op_718")]; |
| tensor<fp32, [1, 256, ?]> var_719 = mul(x = var_713, y = var_718)[name = string("op_719")]; |
| tensor<fp32, [1, 256, ?]> input_71 = add(x = x_35, y = var_719)[name = string("input_71")]; |
| string x_37_pad_type_0 = const()[name = string("x_37_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_37_pad_0 = const()[name = string("x_37_pad_0"), val = tensor<int32, [2]>([15, 15])]; |
| tensor<int32, [1]> x_37_dilations_0 = const()[name = string("x_37_dilations_0"), val = tensor<int32, [1]>([5])]; |
| tensor<int32, [1]> x_37_strides_0 = const()[name = string("x_37_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_37_groups_0 = const()[name = string("x_37_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> x_37 = conv(bias = resblocks_1_convs1_2_bias, 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 = resblocks_1_convs1_2_weight, x = input_71)[name = string("x_37")]; |
| tensor<fp32, [1, 256, 1]> alpha_35 = const()[name = string("alpha_35"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83232512)))]; |
| tensor<fp32, [1, 256, 1]> var_733 = const()[name = string("op_733"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83233600)))]; |
| tensor<fp32, [1, 256, ?]> var_736 = mul(x = x_37, y = alpha_35)[name = string("op_736")]; |
| tensor<fp32, [1, 256, ?]> var_737 = sin(x = var_736)[name = string("op_737")]; |
| fp32 var_601_promoted_5 = const()[name = string("op_601_promoted_5"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_738 = pow(x = var_737, y = var_601_promoted_5)[name = string("op_738")]; |
| tensor<fp32, [1, 256, ?]> var_739 = mul(x = var_733, y = var_738)[name = string("op_739")]; |
| tensor<fp32, [1, 256, ?]> input_73 = add(x = x_37, y = var_739)[name = string("input_73")]; |
| string xt_17_pad_type_0 = const()[name = string("xt_17_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_17_pad_0 = const()[name = string("xt_17_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_17_strides_0 = const()[name = string("xt_17_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_17_dilations_0 = const()[name = string("xt_17_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_17_groups_0 = const()[name = string("xt_17_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> xt_17 = conv(bias = resblocks_1_convs2_2_bias, dilations = xt_17_dilations_0, groups = xt_17_groups_0, pad = xt_17_pad_0, pad_type = xt_17_pad_type_0, strides = xt_17_strides_0, weight = resblocks_1_convs2_2_weight, x = input_73)[name = string("xt_17")]; |
| tensor<fp32, [1, 256, ?]> var_748 = add(x = xt_17, y = x_35)[name = string("op_748")]; |
| tensor<fp32, [1, 256, ?]> xs_3 = add(x = xs_1, y = var_748)[name = string("xs_3")]; |
| tensor<fp32, [1, 256, 1]> alpha_37 = const()[name = string("alpha_37"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83234688)))]; |
| tensor<fp32, [1, 256, 1]> var_790 = const()[name = string("op_790"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83235776)))]; |
| tensor<fp32, [1, 256, ?]> var_793 = mul(x = x_17, y = alpha_37)[name = string("op_793")]; |
| tensor<fp32, [1, 256, ?]> var_794 = sin(x = var_793)[name = string("op_794")]; |
| fp32 var_760_promoted = const()[name = string("op_760_promoted"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_795 = pow(x = var_794, y = var_760_promoted)[name = string("op_795")]; |
| tensor<fp32, [1, 256, ?]> var_796 = mul(x = var_790, y = var_795)[name = string("op_796")]; |
| tensor<fp32, [1, 256, ?]> input_75 = add(x = x_17, y = var_796)[name = string("input_75")]; |
| string x_39_pad_type_0 = const()[name = string("x_39_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_39_pad_0 = const()[name = string("x_39_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> x_39_strides_0 = const()[name = string("x_39_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> x_39_dilations_0 = const()[name = string("x_39_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_39_groups_0 = const()[name = string("x_39_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> x_39 = conv(bias = resblocks_2_convs1_0_bias, dilations = x_39_dilations_0, groups = x_39_groups_0, pad = x_39_pad_0, pad_type = x_39_pad_type_0, strides = x_39_strides_0, weight = resblocks_2_convs1_0_weight, x = input_75)[name = string("x_39")]; |
| tensor<fp32, [1, 256, 1]> alpha_39 = const()[name = string("alpha_39"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83236864)))]; |
| tensor<fp32, [1, 256, 1]> var_810 = const()[name = string("op_810"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83237952)))]; |
| tensor<fp32, [1, 256, ?]> var_813 = mul(x = x_39, y = alpha_39)[name = string("op_813")]; |
| tensor<fp32, [1, 256, ?]> var_814 = sin(x = var_813)[name = string("op_814")]; |
| fp32 var_760_promoted_1 = const()[name = string("op_760_promoted_1"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_815 = pow(x = var_814, y = var_760_promoted_1)[name = string("op_815")]; |
| tensor<fp32, [1, 256, ?]> var_816 = mul(x = var_810, y = var_815)[name = string("op_816")]; |
| tensor<fp32, [1, 256, ?]> input_77 = add(x = x_39, y = var_816)[name = string("input_77")]; |
| string xt_19_pad_type_0 = const()[name = string("xt_19_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_19_pad_0 = const()[name = string("xt_19_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> xt_19_strides_0 = const()[name = string("xt_19_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_19_dilations_0 = const()[name = string("xt_19_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_19_groups_0 = const()[name = string("xt_19_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> xt_19 = conv(bias = resblocks_2_convs2_0_bias, dilations = xt_19_dilations_0, groups = xt_19_groups_0, pad = xt_19_pad_0, pad_type = xt_19_pad_type_0, strides = xt_19_strides_0, weight = resblocks_2_convs2_0_weight, x = input_77)[name = string("xt_19")]; |
| tensor<fp32, [1, 256, ?]> x_41 = add(x = xt_19, y = x_17)[name = string("x_41")]; |
| tensor<fp32, [1, 256, 1]> alpha_41 = const()[name = string("alpha_41"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83239040)))]; |
| tensor<fp32, [1, 256, 1]> var_831 = const()[name = string("op_831"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83240128)))]; |
| tensor<fp32, [1, 256, ?]> var_834 = mul(x = x_41, y = alpha_41)[name = string("op_834")]; |
| tensor<fp32, [1, 256, ?]> var_835 = sin(x = var_834)[name = string("op_835")]; |
| fp32 var_760_promoted_2 = const()[name = string("op_760_promoted_2"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_836 = pow(x = var_835, y = var_760_promoted_2)[name = string("op_836")]; |
| tensor<fp32, [1, 256, ?]> var_837 = mul(x = var_831, y = var_836)[name = string("op_837")]; |
| tensor<fp32, [1, 256, ?]> input_79 = add(x = x_41, y = var_837)[name = string("input_79")]; |
| string x_43_pad_type_0 = const()[name = string("x_43_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_43_pad_0 = const()[name = string("x_43_pad_0"), val = tensor<int32, [2]>([15, 15])]; |
| tensor<int32, [1]> x_43_dilations_0 = const()[name = string("x_43_dilations_0"), val = tensor<int32, [1]>([3])]; |
| tensor<int32, [1]> x_43_strides_0 = const()[name = string("x_43_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_43_groups_0 = const()[name = string("x_43_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> x_43 = conv(bias = resblocks_2_convs1_1_bias, 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 = resblocks_2_convs1_1_weight, x = input_79)[name = string("x_43")]; |
| tensor<fp32, [1, 256, 1]> alpha_43 = const()[name = string("alpha_43"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83241216)))]; |
| tensor<fp32, [1, 256, 1]> var_851 = const()[name = string("op_851"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83242304)))]; |
| tensor<fp32, [1, 256, ?]> var_854 = mul(x = x_43, y = alpha_43)[name = string("op_854")]; |
| tensor<fp32, [1, 256, ?]> var_855 = sin(x = var_854)[name = string("op_855")]; |
| fp32 var_760_promoted_3 = const()[name = string("op_760_promoted_3"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_856 = pow(x = var_855, y = var_760_promoted_3)[name = string("op_856")]; |
| tensor<fp32, [1, 256, ?]> var_857 = mul(x = var_851, y = var_856)[name = string("op_857")]; |
| tensor<fp32, [1, 256, ?]> input_81 = add(x = x_43, y = var_857)[name = string("input_81")]; |
| string xt_21_pad_type_0 = const()[name = string("xt_21_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_21_pad_0 = const()[name = string("xt_21_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> xt_21_strides_0 = const()[name = string("xt_21_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_21_dilations_0 = const()[name = string("xt_21_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_21_groups_0 = const()[name = string("xt_21_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> xt_21 = conv(bias = resblocks_2_convs2_1_bias, dilations = xt_21_dilations_0, groups = xt_21_groups_0, pad = xt_21_pad_0, pad_type = xt_21_pad_type_0, strides = xt_21_strides_0, weight = resblocks_2_convs2_1_weight, x = input_81)[name = string("xt_21")]; |
| tensor<fp32, [1, 256, ?]> x_45 = add(x = xt_21, y = x_41)[name = string("x_45")]; |
| tensor<fp32, [1, 256, 1]> alpha_45 = const()[name = string("alpha_45"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83243392)))]; |
| tensor<fp32, [1, 256, 1]> var_872 = const()[name = string("op_872"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83244480)))]; |
| tensor<fp32, [1, 256, ?]> var_875 = mul(x = x_45, y = alpha_45)[name = string("op_875")]; |
| tensor<fp32, [1, 256, ?]> var_876 = sin(x = var_875)[name = string("op_876")]; |
| fp32 var_760_promoted_4 = const()[name = string("op_760_promoted_4"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_877 = pow(x = var_876, y = var_760_promoted_4)[name = string("op_877")]; |
| tensor<fp32, [1, 256, ?]> var_878 = mul(x = var_872, y = var_877)[name = string("op_878")]; |
| tensor<fp32, [1, 256, ?]> input_83 = add(x = x_45, y = var_878)[name = string("input_83")]; |
| string x_47_pad_type_0 = const()[name = string("x_47_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_47_pad_0 = const()[name = string("x_47_pad_0"), val = tensor<int32, [2]>([25, 25])]; |
| tensor<int32, [1]> x_47_dilations_0 = const()[name = string("x_47_dilations_0"), val = tensor<int32, [1]>([5])]; |
| tensor<int32, [1]> x_47_strides_0 = const()[name = string("x_47_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_47_groups_0 = const()[name = string("x_47_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> x_47 = conv(bias = resblocks_2_convs1_2_bias, dilations = x_47_dilations_0, groups = x_47_groups_0, pad = x_47_pad_0, pad_type = x_47_pad_type_0, strides = x_47_strides_0, weight = resblocks_2_convs1_2_weight, x = input_83)[name = string("x_47")]; |
| tensor<fp32, [1, 256, 1]> alpha_47 = const()[name = string("alpha_47"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83245568)))]; |
| tensor<fp32, [1, 256, 1]> var_892 = const()[name = string("op_892"), val = tensor<fp32, [1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83246656)))]; |
| tensor<fp32, [1, 256, ?]> var_895 = mul(x = x_47, y = alpha_47)[name = string("op_895")]; |
| tensor<fp32, [1, 256, ?]> var_896 = sin(x = var_895)[name = string("op_896")]; |
| fp32 var_760_promoted_5 = const()[name = string("op_760_promoted_5"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 256, ?]> var_897 = pow(x = var_896, y = var_760_promoted_5)[name = string("op_897")]; |
| tensor<fp32, [1, 256, ?]> var_898 = mul(x = var_892, y = var_897)[name = string("op_898")]; |
| tensor<fp32, [1, 256, ?]> input_85 = add(x = x_47, y = var_898)[name = string("input_85")]; |
| string xt_23_pad_type_0 = const()[name = string("xt_23_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_23_pad_0 = const()[name = string("xt_23_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> xt_23_strides_0 = const()[name = string("xt_23_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_23_dilations_0 = const()[name = string("xt_23_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_23_groups_0 = const()[name = string("xt_23_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 256, ?]> xt_23 = conv(bias = resblocks_2_convs2_2_bias, dilations = xt_23_dilations_0, groups = xt_23_groups_0, pad = xt_23_pad_0, pad_type = xt_23_pad_type_0, strides = xt_23_strides_0, weight = resblocks_2_convs2_2_weight, x = input_85)[name = string("xt_23")]; |
| tensor<fp32, [1, 256, ?]> var_907 = add(x = xt_23, y = x_45)[name = string("op_907")]; |
| tensor<fp32, [1, 256, ?]> xs_5 = add(x = xs_3, y = var_907)[name = string("xs_5")]; |
| fp32 _inversed_input_87_y_0 = const()[name = string("_inversed_input_87_y_0"), val = fp32(0x1.555556p-2)]; |
| tensor<fp32, [1, 256, ?]> _inversed_input_87 = mul(x = xs_5, y = _inversed_input_87_y_0)[name = string("_inversed_input_87")]; |
| fp32 var_912 = const()[name = string("op_912"), val = fp32(0x1.99999ap-4)]; |
| tensor<fp32, [1, 256, ?]> input_89 = leaky_relu(alpha = var_912, x = _inversed_input_87)[name = string("input_89")]; |
| string x_61_pad_type_0 = const()[name = string("x_61_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_61_pad_0 = const()[name = string("x_61_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> x_61_strides_0 = const()[name = string("x_61_strides_0"), val = tensor<int32, [1]>([5])]; |
| tensor<int32, [1]> x_61_dilations_0 = const()[name = string("x_61_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_61_groups_0 = const()[name = string("x_61_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> x_61 = conv_transpose(bias = ups_1_bias, dilations = x_61_dilations_0, groups = x_61_groups_0, pad = x_61_pad_0, pad_type = x_61_pad_type_0, strides = x_61_strides_0, weight = ups_1_weight, x = input_89)[name = string("x_61")]; |
| string x_49_pad_type_0 = const()[name = string("x_49_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_49_pad_0 = const()[name = string("x_49_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> x_49_strides_0 = const()[name = string("x_49_strides_0"), val = tensor<int32, [1]>([3])]; |
| tensor<int32, [1]> x_49_dilations_0 = const()[name = string("x_49_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_49_groups_0 = const()[name = string("x_49_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> x_49 = conv(bias = source_downs_1_bias, dilations = x_49_dilations_0, groups = x_49_groups_0, pad = x_49_pad_0, pad_type = x_49_pad_type_0, strides = x_49_strides_0, weight = source_downs_1_weight, x = input_37)[name = string("x_49")]; |
| tensor<fp32, [1, 128, 1]> alpha_49 = const()[name = string("alpha_49"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83247744)))]; |
| tensor<fp32, [1, 128, 1]> var_978 = const()[name = string("op_978"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83248320)))]; |
| tensor<fp32, [1, 128, ?]> var_981 = mul(x = x_49, y = alpha_49)[name = string("op_981")]; |
| tensor<fp32, [1, 128, ?]> var_982 = sin(x = var_981)[name = string("op_982")]; |
| fp32 var_948_promoted = const()[name = string("op_948_promoted"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_983 = pow(x = var_982, y = var_948_promoted)[name = string("op_983")]; |
| tensor<fp32, [1, 128, ?]> var_984 = mul(x = var_978, y = var_983)[name = string("op_984")]; |
| tensor<fp32, [1, 128, ?]> input_91 = add(x = x_49, y = var_984)[name = string("input_91")]; |
| string x_51_pad_type_0 = const()[name = string("x_51_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_51_pad_0 = const()[name = string("x_51_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> x_51_strides_0 = const()[name = string("x_51_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> x_51_dilations_0 = const()[name = string("x_51_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_51_groups_0 = const()[name = string("x_51_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> x_51 = conv(bias = source_resblocks_1_convs1_0_bias, dilations = x_51_dilations_0, groups = x_51_groups_0, pad = x_51_pad_0, pad_type = x_51_pad_type_0, strides = x_51_strides_0, weight = source_resblocks_1_convs1_0_weight, x = input_91)[name = string("x_51")]; |
| tensor<fp32, [1, 128, 1]> alpha_51 = const()[name = string("alpha_51"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83248896)))]; |
| tensor<fp32, [1, 128, 1]> var_998 = const()[name = string("op_998"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83249472)))]; |
| tensor<fp32, [1, 128, ?]> var_1001 = mul(x = x_51, y = alpha_51)[name = string("op_1001")]; |
| tensor<fp32, [1, 128, ?]> var_1002 = sin(x = var_1001)[name = string("op_1002")]; |
| fp32 var_948_promoted_1 = const()[name = string("op_948_promoted_1"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1003 = pow(x = var_1002, y = var_948_promoted_1)[name = string("op_1003")]; |
| tensor<fp32, [1, 128, ?]> var_1004 = mul(x = var_998, y = var_1003)[name = string("op_1004")]; |
| tensor<fp32, [1, 128, ?]> input_93 = add(x = x_51, y = var_1004)[name = string("input_93")]; |
| string xt_25_pad_type_0 = const()[name = string("xt_25_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_25_pad_0 = const()[name = string("xt_25_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_25_strides_0 = const()[name = string("xt_25_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_25_dilations_0 = const()[name = string("xt_25_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_25_groups_0 = const()[name = string("xt_25_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> xt_25 = conv(bias = source_resblocks_1_convs2_0_bias, dilations = xt_25_dilations_0, groups = xt_25_groups_0, pad = xt_25_pad_0, pad_type = xt_25_pad_type_0, strides = xt_25_strides_0, weight = source_resblocks_1_convs2_0_weight, x = input_93)[name = string("xt_25")]; |
| tensor<fp32, [1, 128, ?]> x_53 = add(x = xt_25, y = x_49)[name = string("x_53")]; |
| tensor<fp32, [1, 128, 1]> alpha_53 = const()[name = string("alpha_53"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83250048)))]; |
| tensor<fp32, [1, 128, 1]> var_1019 = const()[name = string("op_1019"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83250624)))]; |
| tensor<fp32, [1, 128, ?]> var_1022 = mul(x = x_53, y = alpha_53)[name = string("op_1022")]; |
| tensor<fp32, [1, 128, ?]> var_1023 = sin(x = var_1022)[name = string("op_1023")]; |
| fp32 var_948_promoted_2 = const()[name = string("op_948_promoted_2"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1024 = pow(x = var_1023, y = var_948_promoted_2)[name = string("op_1024")]; |
| tensor<fp32, [1, 128, ?]> var_1025 = mul(x = var_1019, y = var_1024)[name = string("op_1025")]; |
| tensor<fp32, [1, 128, ?]> input_95 = add(x = x_53, y = var_1025)[name = string("input_95")]; |
| string x_55_pad_type_0 = const()[name = string("x_55_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_55_pad_0 = const()[name = string("x_55_pad_0"), val = tensor<int32, [2]>([9, 9])]; |
| tensor<int32, [1]> x_55_dilations_0 = const()[name = string("x_55_dilations_0"), val = tensor<int32, [1]>([3])]; |
| tensor<int32, [1]> x_55_strides_0 = const()[name = string("x_55_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_55_groups_0 = const()[name = string("x_55_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> x_55 = conv(bias = source_resblocks_1_convs1_1_bias, dilations = x_55_dilations_0, groups = x_55_groups_0, pad = x_55_pad_0, pad_type = x_55_pad_type_0, strides = x_55_strides_0, weight = source_resblocks_1_convs1_1_weight, x = input_95)[name = string("x_55")]; |
| tensor<fp32, [1, 128, 1]> alpha_55 = const()[name = string("alpha_55"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83251200)))]; |
| tensor<fp32, [1, 128, 1]> var_1039 = const()[name = string("op_1039"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83251776)))]; |
| tensor<fp32, [1, 128, ?]> var_1042 = mul(x = x_55, y = alpha_55)[name = string("op_1042")]; |
| tensor<fp32, [1, 128, ?]> var_1043 = sin(x = var_1042)[name = string("op_1043")]; |
| fp32 var_948_promoted_3 = const()[name = string("op_948_promoted_3"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1044 = pow(x = var_1043, y = var_948_promoted_3)[name = string("op_1044")]; |
| tensor<fp32, [1, 128, ?]> var_1045 = mul(x = var_1039, y = var_1044)[name = string("op_1045")]; |
| tensor<fp32, [1, 128, ?]> input_97 = add(x = x_55, y = var_1045)[name = string("input_97")]; |
| string xt_27_pad_type_0 = const()[name = string("xt_27_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_27_pad_0 = const()[name = string("xt_27_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_27_strides_0 = const()[name = string("xt_27_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_27_dilations_0 = const()[name = string("xt_27_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_27_groups_0 = const()[name = string("xt_27_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> xt_27 = conv(bias = source_resblocks_1_convs2_1_bias, dilations = xt_27_dilations_0, groups = xt_27_groups_0, pad = xt_27_pad_0, pad_type = xt_27_pad_type_0, strides = xt_27_strides_0, weight = source_resblocks_1_convs2_1_weight, x = input_97)[name = string("xt_27")]; |
| tensor<fp32, [1, 128, ?]> x_57 = add(x = xt_27, y = x_53)[name = string("x_57")]; |
| tensor<fp32, [1, 128, 1]> alpha_57 = const()[name = string("alpha_57"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83252352)))]; |
| tensor<fp32, [1, 128, 1]> var_1060 = const()[name = string("op_1060"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83252928)))]; |
| tensor<fp32, [1, 128, ?]> var_1063 = mul(x = x_57, y = alpha_57)[name = string("op_1063")]; |
| tensor<fp32, [1, 128, ?]> var_1064 = sin(x = var_1063)[name = string("op_1064")]; |
| fp32 var_948_promoted_4 = const()[name = string("op_948_promoted_4"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1065 = pow(x = var_1064, y = var_948_promoted_4)[name = string("op_1065")]; |
| tensor<fp32, [1, 128, ?]> var_1066 = mul(x = var_1060, y = var_1065)[name = string("op_1066")]; |
| tensor<fp32, [1, 128, ?]> input_99 = add(x = x_57, y = var_1066)[name = string("input_99")]; |
| string x_59_pad_type_0 = const()[name = string("x_59_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_59_pad_0 = const()[name = string("x_59_pad_0"), val = tensor<int32, [2]>([15, 15])]; |
| tensor<int32, [1]> x_59_dilations_0 = const()[name = string("x_59_dilations_0"), val = tensor<int32, [1]>([5])]; |
| tensor<int32, [1]> x_59_strides_0 = const()[name = string("x_59_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_59_groups_0 = const()[name = string("x_59_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> x_59 = conv(bias = source_resblocks_1_convs1_2_bias, dilations = x_59_dilations_0, groups = x_59_groups_0, pad = x_59_pad_0, pad_type = x_59_pad_type_0, strides = x_59_strides_0, weight = source_resblocks_1_convs1_2_weight, x = input_99)[name = string("x_59")]; |
| tensor<fp32, [1, 128, 1]> alpha_59 = const()[name = string("alpha_59"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83253504)))]; |
| tensor<fp32, [1, 128, 1]> var_1080 = const()[name = string("op_1080"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83254080)))]; |
| tensor<fp32, [1, 128, ?]> var_1083 = mul(x = x_59, y = alpha_59)[name = string("op_1083")]; |
| tensor<fp32, [1, 128, ?]> var_1084 = sin(x = var_1083)[name = string("op_1084")]; |
| fp32 var_948_promoted_5 = const()[name = string("op_948_promoted_5"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1085 = pow(x = var_1084, y = var_948_promoted_5)[name = string("op_1085")]; |
| tensor<fp32, [1, 128, ?]> var_1086 = mul(x = var_1080, y = var_1085)[name = string("op_1086")]; |
| tensor<fp32, [1, 128, ?]> input_101 = add(x = x_59, y = var_1086)[name = string("input_101")]; |
| string xt_29_pad_type_0 = const()[name = string("xt_29_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_29_pad_0 = const()[name = string("xt_29_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_29_strides_0 = const()[name = string("xt_29_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_29_dilations_0 = const()[name = string("xt_29_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_29_groups_0 = const()[name = string("xt_29_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> xt_29 = conv(bias = source_resblocks_1_convs2_2_bias, dilations = xt_29_dilations_0, groups = xt_29_groups_0, pad = xt_29_pad_0, pad_type = xt_29_pad_type_0, strides = xt_29_strides_0, weight = source_resblocks_1_convs2_2_weight, x = input_101)[name = string("xt_29")]; |
| tensor<fp32, [1, 128, ?]> si_3 = add(x = xt_29, y = x_57)[name = string("si_3")]; |
| tensor<int32, [3]> var_1097_shape = shape(x = si_3)[name = string("op_1097_shape")]; |
| int32 gather_6_batch_dims_0 = const()[name = string("gather_6_batch_dims_0"), val = int32(0)]; |
| bool gather_6_validate_indices_0 = const()[name = string("gather_6_validate_indices_0"), val = bool(false)]; |
| int32 select_4 = const()[name = string("select_4"), val = int32(2)]; |
| int32 gather_6_axis_1 = const()[name = string("gather_6_axis_1"), val = int32(0)]; |
| int32 gather_6 = gather(axis = gather_6_axis_1, batch_dims = gather_6_batch_dims_0, indices = select_4, validate_indices = gather_6_validate_indices_0, x = var_1097_shape)[name = string("gather_6")]; |
| int32 concat_4_values0_0 = const()[name = string("concat_4_values0_0"), val = int32(1)]; |
| int32 concat_4_values1_0 = const()[name = string("concat_4_values1_0"), val = int32(128)]; |
| int32 concat_4_axis_0 = const()[name = string("concat_4_axis_0"), val = int32(0)]; |
| bool concat_4_interleave_0 = const()[name = string("concat_4_interleave_0"), val = bool(false)]; |
| tensor<int32, [3]> concat_4 = concat(axis = concat_4_axis_0, interleave = concat_4_interleave_0, values = (concat_4_values0_0, concat_4_values1_0, gather_6))[name = string("concat_4")]; |
| tensor<int32, [3]> var_1113_begin_0 = const()[name = string("op_1113_begin_0"), val = tensor<int32, [3]>([0, 0, 0])]; |
| tensor<bool, [3]> var_1113_end_mask_0 = const()[name = string("op_1113_end_mask_0"), val = tensor<bool, [3]>([true, true, false])]; |
| tensor<fp32, [1, 128, ?]> var_1113 = slice_by_index(begin = var_1113_begin_0, end = concat_4, end_mask = var_1113_end_mask_0, x = x_61)[name = string("op_1113")]; |
| tensor<int32, [3]> var_1115_shape = shape(x = x_61)[name = string("op_1115_shape")]; |
| int32 gather_7_batch_dims_0 = const()[name = string("gather_7_batch_dims_0"), val = int32(0)]; |
| bool gather_7_validate_indices_0 = const()[name = string("gather_7_validate_indices_0"), val = bool(false)]; |
| int32 select_5 = const()[name = string("select_5"), val = int32(2)]; |
| int32 gather_7_axis_1 = const()[name = string("gather_7_axis_1"), val = int32(0)]; |
| int32 gather_7 = gather(axis = gather_7_axis_1, batch_dims = gather_7_batch_dims_0, indices = select_5, validate_indices = gather_7_validate_indices_0, x = var_1115_shape)[name = string("gather_7")]; |
| int32 concat_5_values0_0 = const()[name = string("concat_5_values0_0"), val = int32(1)]; |
| int32 concat_5_values1_0 = const()[name = string("concat_5_values1_0"), val = int32(128)]; |
| int32 concat_5_axis_0 = const()[name = string("concat_5_axis_0"), val = int32(0)]; |
| bool concat_5_interleave_0 = const()[name = string("concat_5_interleave_0"), val = bool(false)]; |
| tensor<int32, [3]> concat_5 = concat(axis = concat_5_axis_0, interleave = concat_5_interleave_0, values = (concat_5_values0_0, concat_5_values1_0, gather_7))[name = string("concat_5")]; |
| tensor<int32, [3]> var_1131_begin_0 = const()[name = string("op_1131_begin_0"), val = tensor<int32, [3]>([0, 0, 0])]; |
| tensor<bool, [3]> var_1131_end_mask_0 = const()[name = string("op_1131_end_mask_0"), val = tensor<bool, [3]>([true, true, false])]; |
| tensor<fp32, [1, 128, ?]> var_1131 = slice_by_index(begin = var_1131_begin_0, end = concat_5, end_mask = var_1131_end_mask_0, x = si_3)[name = string("op_1131")]; |
| tensor<fp32, [1, 128, ?]> x_63 = add(x = var_1113, y = var_1131)[name = string("x_63")]; |
| tensor<fp32, [1, 128, 1]> alpha_61 = const()[name = string("alpha_61"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83254656)))]; |
| tensor<fp32, [1, 128, 1]> var_1171 = const()[name = string("op_1171"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83255232)))]; |
| tensor<fp32, [1, 128, ?]> var_1174 = mul(x = x_63, y = alpha_61)[name = string("op_1174")]; |
| tensor<fp32, [1, 128, ?]> var_1175 = sin(x = var_1174)[name = string("op_1175")]; |
| fp32 var_1141_promoted = const()[name = string("op_1141_promoted"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1176 = pow(x = var_1175, y = var_1141_promoted)[name = string("op_1176")]; |
| tensor<fp32, [1, 128, ?]> var_1177 = mul(x = var_1171, y = var_1176)[name = string("op_1177")]; |
| tensor<fp32, [1, 128, ?]> input_103 = add(x = x_63, y = var_1177)[name = string("input_103")]; |
| string x_65_pad_type_0 = const()[name = string("x_65_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_65_pad_0 = const()[name = string("x_65_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> x_65_strides_0 = const()[name = string("x_65_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> x_65_dilations_0 = const()[name = string("x_65_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_65_groups_0 = const()[name = string("x_65_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> x_65 = conv(bias = resblocks_3_convs1_0_bias, dilations = x_65_dilations_0, groups = x_65_groups_0, pad = x_65_pad_0, pad_type = x_65_pad_type_0, strides = x_65_strides_0, weight = resblocks_3_convs1_0_weight, x = input_103)[name = string("x_65")]; |
| tensor<fp32, [1, 128, 1]> alpha_63 = const()[name = string("alpha_63"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83255808)))]; |
| tensor<fp32, [1, 128, 1]> var_1191 = const()[name = string("op_1191"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83256384)))]; |
| tensor<fp32, [1, 128, ?]> var_1194 = mul(x = x_65, y = alpha_63)[name = string("op_1194")]; |
| tensor<fp32, [1, 128, ?]> var_1195 = sin(x = var_1194)[name = string("op_1195")]; |
| fp32 var_1141_promoted_1 = const()[name = string("op_1141_promoted_1"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1196 = pow(x = var_1195, y = var_1141_promoted_1)[name = string("op_1196")]; |
| tensor<fp32, [1, 128, ?]> var_1197 = mul(x = var_1191, y = var_1196)[name = string("op_1197")]; |
| tensor<fp32, [1, 128, ?]> input_105 = add(x = x_65, y = var_1197)[name = string("input_105")]; |
| string xt_31_pad_type_0 = const()[name = string("xt_31_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_31_pad_0 = const()[name = string("xt_31_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> xt_31_strides_0 = const()[name = string("xt_31_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_31_dilations_0 = const()[name = string("xt_31_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_31_groups_0 = const()[name = string("xt_31_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> xt_31 = conv(bias = resblocks_3_convs2_0_bias, dilations = xt_31_dilations_0, groups = xt_31_groups_0, pad = xt_31_pad_0, pad_type = xt_31_pad_type_0, strides = xt_31_strides_0, weight = resblocks_3_convs2_0_weight, x = input_105)[name = string("xt_31")]; |
| tensor<fp32, [1, 128, ?]> x_67 = add(x = xt_31, y = x_63)[name = string("x_67")]; |
| tensor<fp32, [1, 128, 1]> alpha_65 = const()[name = string("alpha_65"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83256960)))]; |
| tensor<fp32, [1, 128, 1]> var_1212 = const()[name = string("op_1212"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83257536)))]; |
| tensor<fp32, [1, 128, ?]> var_1215 = mul(x = x_67, y = alpha_65)[name = string("op_1215")]; |
| tensor<fp32, [1, 128, ?]> var_1216 = sin(x = var_1215)[name = string("op_1216")]; |
| fp32 var_1141_promoted_2 = const()[name = string("op_1141_promoted_2"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1217 = pow(x = var_1216, y = var_1141_promoted_2)[name = string("op_1217")]; |
| tensor<fp32, [1, 128, ?]> var_1218 = mul(x = var_1212, y = var_1217)[name = string("op_1218")]; |
| tensor<fp32, [1, 128, ?]> input_107 = add(x = x_67, y = var_1218)[name = string("input_107")]; |
| string x_69_pad_type_0 = const()[name = string("x_69_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_69_pad_0 = const()[name = string("x_69_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> x_69_dilations_0 = const()[name = string("x_69_dilations_0"), val = tensor<int32, [1]>([3])]; |
| tensor<int32, [1]> x_69_strides_0 = const()[name = string("x_69_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_69_groups_0 = const()[name = string("x_69_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> x_69 = conv(bias = resblocks_3_convs1_1_bias, dilations = x_69_dilations_0, groups = x_69_groups_0, pad = x_69_pad_0, pad_type = x_69_pad_type_0, strides = x_69_strides_0, weight = resblocks_3_convs1_1_weight, x = input_107)[name = string("x_69")]; |
| tensor<fp32, [1, 128, 1]> alpha_67 = const()[name = string("alpha_67"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83258112)))]; |
| tensor<fp32, [1, 128, 1]> var_1232 = const()[name = string("op_1232"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83258688)))]; |
| tensor<fp32, [1, 128, ?]> var_1235 = mul(x = x_69, y = alpha_67)[name = string("op_1235")]; |
| tensor<fp32, [1, 128, ?]> var_1236 = sin(x = var_1235)[name = string("op_1236")]; |
| fp32 var_1141_promoted_3 = const()[name = string("op_1141_promoted_3"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1237 = pow(x = var_1236, y = var_1141_promoted_3)[name = string("op_1237")]; |
| tensor<fp32, [1, 128, ?]> var_1238 = mul(x = var_1232, y = var_1237)[name = string("op_1238")]; |
| tensor<fp32, [1, 128, ?]> input_109 = add(x = x_69, y = var_1238)[name = string("input_109")]; |
| string xt_33_pad_type_0 = const()[name = string("xt_33_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_33_pad_0 = const()[name = string("xt_33_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> xt_33_strides_0 = const()[name = string("xt_33_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_33_dilations_0 = const()[name = string("xt_33_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_33_groups_0 = const()[name = string("xt_33_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> xt_33 = conv(bias = resblocks_3_convs2_1_bias, dilations = xt_33_dilations_0, groups = xt_33_groups_0, pad = xt_33_pad_0, pad_type = xt_33_pad_type_0, strides = xt_33_strides_0, weight = resblocks_3_convs2_1_weight, x = input_109)[name = string("xt_33")]; |
| tensor<fp32, [1, 128, ?]> x_71 = add(x = xt_33, y = x_67)[name = string("x_71")]; |
| tensor<fp32, [1, 128, 1]> alpha_69 = const()[name = string("alpha_69"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83259264)))]; |
| tensor<fp32, [1, 128, 1]> var_1253 = const()[name = string("op_1253"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83259840)))]; |
| tensor<fp32, [1, 128, ?]> var_1256 = mul(x = x_71, y = alpha_69)[name = string("op_1256")]; |
| tensor<fp32, [1, 128, ?]> var_1257 = sin(x = var_1256)[name = string("op_1257")]; |
| fp32 var_1141_promoted_4 = const()[name = string("op_1141_promoted_4"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1258 = pow(x = var_1257, y = var_1141_promoted_4)[name = string("op_1258")]; |
| tensor<fp32, [1, 128, ?]> var_1259 = mul(x = var_1253, y = var_1258)[name = string("op_1259")]; |
| tensor<fp32, [1, 128, ?]> input_111 = add(x = x_71, y = var_1259)[name = string("input_111")]; |
| string x_73_pad_type_0 = const()[name = string("x_73_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_73_pad_0 = const()[name = string("x_73_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> x_73_dilations_0 = const()[name = string("x_73_dilations_0"), val = tensor<int32, [1]>([5])]; |
| tensor<int32, [1]> x_73_strides_0 = const()[name = string("x_73_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_73_groups_0 = const()[name = string("x_73_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> x_73 = conv(bias = resblocks_3_convs1_2_bias, dilations = x_73_dilations_0, groups = x_73_groups_0, pad = x_73_pad_0, pad_type = x_73_pad_type_0, strides = x_73_strides_0, weight = resblocks_3_convs1_2_weight, x = input_111)[name = string("x_73")]; |
| tensor<fp32, [1, 128, 1]> alpha_71 = const()[name = string("alpha_71"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83260416)))]; |
| tensor<fp32, [1, 128, 1]> var_1273 = const()[name = string("op_1273"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83260992)))]; |
| tensor<fp32, [1, 128, ?]> var_1276 = mul(x = x_73, y = alpha_71)[name = string("op_1276")]; |
| tensor<fp32, [1, 128, ?]> var_1277 = sin(x = var_1276)[name = string("op_1277")]; |
| fp32 var_1141_promoted_5 = const()[name = string("op_1141_promoted_5"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1278 = pow(x = var_1277, y = var_1141_promoted_5)[name = string("op_1278")]; |
| tensor<fp32, [1, 128, ?]> var_1279 = mul(x = var_1273, y = var_1278)[name = string("op_1279")]; |
| tensor<fp32, [1, 128, ?]> input_113 = add(x = x_73, y = var_1279)[name = string("input_113")]; |
| string xt_35_pad_type_0 = const()[name = string("xt_35_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_35_pad_0 = const()[name = string("xt_35_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> xt_35_strides_0 = const()[name = string("xt_35_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_35_dilations_0 = const()[name = string("xt_35_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_35_groups_0 = const()[name = string("xt_35_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> xt_35 = conv(bias = resblocks_3_convs2_2_bias, dilations = xt_35_dilations_0, groups = xt_35_groups_0, pad = xt_35_pad_0, pad_type = xt_35_pad_type_0, strides = xt_35_strides_0, weight = resblocks_3_convs2_2_weight, x = input_113)[name = string("xt_35")]; |
| tensor<fp32, [1, 128, ?]> xs_7 = add(x = xt_35, y = x_71)[name = string("xs_7")]; |
| tensor<fp32, [1, 128, 1]> alpha_73 = const()[name = string("alpha_73"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83261568)))]; |
| tensor<fp32, [1, 128, 1]> var_1328 = const()[name = string("op_1328"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83262144)))]; |
| tensor<fp32, [1, 128, ?]> var_1331 = mul(x = x_63, y = alpha_73)[name = string("op_1331")]; |
| tensor<fp32, [1, 128, ?]> var_1332 = sin(x = var_1331)[name = string("op_1332")]; |
| fp32 var_1298_promoted = const()[name = string("op_1298_promoted"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1333 = pow(x = var_1332, y = var_1298_promoted)[name = string("op_1333")]; |
| tensor<fp32, [1, 128, ?]> var_1334 = mul(x = var_1328, y = var_1333)[name = string("op_1334")]; |
| tensor<fp32, [1, 128, ?]> input_115 = add(x = x_63, y = var_1334)[name = string("input_115")]; |
| string x_75_pad_type_0 = const()[name = string("x_75_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_75_pad_0 = const()[name = string("x_75_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> x_75_strides_0 = const()[name = string("x_75_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> x_75_dilations_0 = const()[name = string("x_75_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_75_groups_0 = const()[name = string("x_75_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> x_75 = conv(bias = resblocks_4_convs1_0_bias, dilations = x_75_dilations_0, groups = x_75_groups_0, pad = x_75_pad_0, pad_type = x_75_pad_type_0, strides = x_75_strides_0, weight = resblocks_4_convs1_0_weight, x = input_115)[name = string("x_75")]; |
| tensor<fp32, [1, 128, 1]> alpha_75 = const()[name = string("alpha_75"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83262720)))]; |
| tensor<fp32, [1, 128, 1]> var_1348 = const()[name = string("op_1348"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83263296)))]; |
| tensor<fp32, [1, 128, ?]> var_1351 = mul(x = x_75, y = alpha_75)[name = string("op_1351")]; |
| tensor<fp32, [1, 128, ?]> var_1352 = sin(x = var_1351)[name = string("op_1352")]; |
| fp32 var_1298_promoted_1 = const()[name = string("op_1298_promoted_1"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1353 = pow(x = var_1352, y = var_1298_promoted_1)[name = string("op_1353")]; |
| tensor<fp32, [1, 128, ?]> var_1354 = mul(x = var_1348, y = var_1353)[name = string("op_1354")]; |
| tensor<fp32, [1, 128, ?]> input_117 = add(x = x_75, y = var_1354)[name = string("input_117")]; |
| string xt_37_pad_type_0 = const()[name = string("xt_37_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_37_pad_0 = const()[name = string("xt_37_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_37_strides_0 = const()[name = string("xt_37_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_37_dilations_0 = const()[name = string("xt_37_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_37_groups_0 = const()[name = string("xt_37_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> xt_37 = conv(bias = resblocks_4_convs2_0_bias, dilations = xt_37_dilations_0, groups = xt_37_groups_0, pad = xt_37_pad_0, pad_type = xt_37_pad_type_0, strides = xt_37_strides_0, weight = resblocks_4_convs2_0_weight, x = input_117)[name = string("xt_37")]; |
| tensor<fp32, [1, 128, ?]> x_77 = add(x = xt_37, y = x_63)[name = string("x_77")]; |
| tensor<fp32, [1, 128, 1]> alpha_77 = const()[name = string("alpha_77"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83263872)))]; |
| tensor<fp32, [1, 128, 1]> var_1369 = const()[name = string("op_1369"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83264448)))]; |
| tensor<fp32, [1, 128, ?]> var_1372 = mul(x = x_77, y = alpha_77)[name = string("op_1372")]; |
| tensor<fp32, [1, 128, ?]> var_1373 = sin(x = var_1372)[name = string("op_1373")]; |
| fp32 var_1298_promoted_2 = const()[name = string("op_1298_promoted_2"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1374 = pow(x = var_1373, y = var_1298_promoted_2)[name = string("op_1374")]; |
| tensor<fp32, [1, 128, ?]> var_1375 = mul(x = var_1369, y = var_1374)[name = string("op_1375")]; |
| tensor<fp32, [1, 128, ?]> input_119 = add(x = x_77, y = var_1375)[name = string("input_119")]; |
| string x_79_pad_type_0 = const()[name = string("x_79_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_79_pad_0 = const()[name = string("x_79_pad_0"), val = tensor<int32, [2]>([9, 9])]; |
| tensor<int32, [1]> x_79_dilations_0 = const()[name = string("x_79_dilations_0"), val = tensor<int32, [1]>([3])]; |
| tensor<int32, [1]> x_79_strides_0 = const()[name = string("x_79_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_79_groups_0 = const()[name = string("x_79_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> x_79 = conv(bias = resblocks_4_convs1_1_bias, dilations = x_79_dilations_0, groups = x_79_groups_0, pad = x_79_pad_0, pad_type = x_79_pad_type_0, strides = x_79_strides_0, weight = resblocks_4_convs1_1_weight, x = input_119)[name = string("x_79")]; |
| tensor<fp32, [1, 128, 1]> alpha_79 = const()[name = string("alpha_79"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83265024)))]; |
| tensor<fp32, [1, 128, 1]> var_1389 = const()[name = string("op_1389"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83265600)))]; |
| tensor<fp32, [1, 128, ?]> var_1392 = mul(x = x_79, y = alpha_79)[name = string("op_1392")]; |
| tensor<fp32, [1, 128, ?]> var_1393 = sin(x = var_1392)[name = string("op_1393")]; |
| fp32 var_1298_promoted_3 = const()[name = string("op_1298_promoted_3"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1394 = pow(x = var_1393, y = var_1298_promoted_3)[name = string("op_1394")]; |
| tensor<fp32, [1, 128, ?]> var_1395 = mul(x = var_1389, y = var_1394)[name = string("op_1395")]; |
| tensor<fp32, [1, 128, ?]> input_121 = add(x = x_79, y = var_1395)[name = string("input_121")]; |
| string xt_39_pad_type_0 = const()[name = string("xt_39_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_39_pad_0 = const()[name = string("xt_39_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_39_strides_0 = const()[name = string("xt_39_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_39_dilations_0 = const()[name = string("xt_39_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_39_groups_0 = const()[name = string("xt_39_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> xt_39 = conv(bias = resblocks_4_convs2_1_bias, dilations = xt_39_dilations_0, groups = xt_39_groups_0, pad = xt_39_pad_0, pad_type = xt_39_pad_type_0, strides = xt_39_strides_0, weight = resblocks_4_convs2_1_weight, x = input_121)[name = string("xt_39")]; |
| tensor<fp32, [1, 128, ?]> x_81 = add(x = xt_39, y = x_77)[name = string("x_81")]; |
| tensor<fp32, [1, 128, 1]> alpha_81 = const()[name = string("alpha_81"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83266176)))]; |
| tensor<fp32, [1, 128, 1]> var_1410 = const()[name = string("op_1410"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83266752)))]; |
| tensor<fp32, [1, 128, ?]> var_1413 = mul(x = x_81, y = alpha_81)[name = string("op_1413")]; |
| tensor<fp32, [1, 128, ?]> var_1414 = sin(x = var_1413)[name = string("op_1414")]; |
| fp32 var_1298_promoted_4 = const()[name = string("op_1298_promoted_4"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1415 = pow(x = var_1414, y = var_1298_promoted_4)[name = string("op_1415")]; |
| tensor<fp32, [1, 128, ?]> var_1416 = mul(x = var_1410, y = var_1415)[name = string("op_1416")]; |
| tensor<fp32, [1, 128, ?]> input_123 = add(x = x_81, y = var_1416)[name = string("input_123")]; |
| string x_83_pad_type_0 = const()[name = string("x_83_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_83_pad_0 = const()[name = string("x_83_pad_0"), val = tensor<int32, [2]>([15, 15])]; |
| tensor<int32, [1]> x_83_dilations_0 = const()[name = string("x_83_dilations_0"), val = tensor<int32, [1]>([5])]; |
| tensor<int32, [1]> x_83_strides_0 = const()[name = string("x_83_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_83_groups_0 = const()[name = string("x_83_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> x_83 = conv(bias = resblocks_4_convs1_2_bias, dilations = x_83_dilations_0, groups = x_83_groups_0, pad = x_83_pad_0, pad_type = x_83_pad_type_0, strides = x_83_strides_0, weight = resblocks_4_convs1_2_weight, x = input_123)[name = string("x_83")]; |
| tensor<fp32, [1, 128, 1]> alpha_83 = const()[name = string("alpha_83"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83267328)))]; |
| tensor<fp32, [1, 128, 1]> var_1430 = const()[name = string("op_1430"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83267904)))]; |
| tensor<fp32, [1, 128, ?]> var_1433 = mul(x = x_83, y = alpha_83)[name = string("op_1433")]; |
| tensor<fp32, [1, 128, ?]> var_1434 = sin(x = var_1433)[name = string("op_1434")]; |
| fp32 var_1298_promoted_5 = const()[name = string("op_1298_promoted_5"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1435 = pow(x = var_1434, y = var_1298_promoted_5)[name = string("op_1435")]; |
| tensor<fp32, [1, 128, ?]> var_1436 = mul(x = var_1430, y = var_1435)[name = string("op_1436")]; |
| tensor<fp32, [1, 128, ?]> input_125 = add(x = x_83, y = var_1436)[name = string("input_125")]; |
| string xt_41_pad_type_0 = const()[name = string("xt_41_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_41_pad_0 = const()[name = string("xt_41_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_41_strides_0 = const()[name = string("xt_41_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_41_dilations_0 = const()[name = string("xt_41_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_41_groups_0 = const()[name = string("xt_41_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> xt_41 = conv(bias = resblocks_4_convs2_2_bias, dilations = xt_41_dilations_0, groups = xt_41_groups_0, pad = xt_41_pad_0, pad_type = xt_41_pad_type_0, strides = xt_41_strides_0, weight = resblocks_4_convs2_2_weight, x = input_125)[name = string("xt_41")]; |
| tensor<fp32, [1, 128, ?]> var_1445 = add(x = xt_41, y = x_81)[name = string("op_1445")]; |
| tensor<fp32, [1, 128, ?]> xs_9 = add(x = xs_7, y = var_1445)[name = string("xs_9")]; |
| tensor<fp32, [1, 128, 1]> alpha_85 = const()[name = string("alpha_85"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83268480)))]; |
| tensor<fp32, [1, 128, 1]> var_1487 = const()[name = string("op_1487"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83269056)))]; |
| tensor<fp32, [1, 128, ?]> var_1490 = mul(x = x_63, y = alpha_85)[name = string("op_1490")]; |
| tensor<fp32, [1, 128, ?]> var_1491 = sin(x = var_1490)[name = string("op_1491")]; |
| fp32 var_1457_promoted = const()[name = string("op_1457_promoted"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1492 = pow(x = var_1491, y = var_1457_promoted)[name = string("op_1492")]; |
| tensor<fp32, [1, 128, ?]> var_1493 = mul(x = var_1487, y = var_1492)[name = string("op_1493")]; |
| tensor<fp32, [1, 128, ?]> input_127 = add(x = x_63, y = var_1493)[name = string("input_127")]; |
| string x_85_pad_type_0 = const()[name = string("x_85_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_85_pad_0 = const()[name = string("x_85_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> x_85_strides_0 = const()[name = string("x_85_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> x_85_dilations_0 = const()[name = string("x_85_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_85_groups_0 = const()[name = string("x_85_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> x_85 = conv(bias = resblocks_5_convs1_0_bias, 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 = resblocks_5_convs1_0_weight, x = input_127)[name = string("x_85")]; |
| tensor<fp32, [1, 128, 1]> alpha_87 = const()[name = string("alpha_87"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83269632)))]; |
| tensor<fp32, [1, 128, 1]> var_1507 = const()[name = string("op_1507"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83270208)))]; |
| tensor<fp32, [1, 128, ?]> var_1510 = mul(x = x_85, y = alpha_87)[name = string("op_1510")]; |
| tensor<fp32, [1, 128, ?]> var_1511 = sin(x = var_1510)[name = string("op_1511")]; |
| fp32 var_1457_promoted_1 = const()[name = string("op_1457_promoted_1"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1512 = pow(x = var_1511, y = var_1457_promoted_1)[name = string("op_1512")]; |
| tensor<fp32, [1, 128, ?]> var_1513 = mul(x = var_1507, y = var_1512)[name = string("op_1513")]; |
| tensor<fp32, [1, 128, ?]> input_129 = add(x = x_85, y = var_1513)[name = string("input_129")]; |
| string xt_43_pad_type_0 = const()[name = string("xt_43_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_43_pad_0 = const()[name = string("xt_43_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> xt_43_strides_0 = const()[name = string("xt_43_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_43_dilations_0 = const()[name = string("xt_43_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_43_groups_0 = const()[name = string("xt_43_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> xt_43 = conv(bias = resblocks_5_convs2_0_bias, dilations = xt_43_dilations_0, groups = xt_43_groups_0, pad = xt_43_pad_0, pad_type = xt_43_pad_type_0, strides = xt_43_strides_0, weight = resblocks_5_convs2_0_weight, x = input_129)[name = string("xt_43")]; |
| tensor<fp32, [1, 128, ?]> x_87 = add(x = xt_43, y = x_63)[name = string("x_87")]; |
| tensor<fp32, [1, 128, 1]> alpha_89 = const()[name = string("alpha_89"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83270784)))]; |
| tensor<fp32, [1, 128, 1]> var_1528 = const()[name = string("op_1528"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83271360)))]; |
| tensor<fp32, [1, 128, ?]> var_1531 = mul(x = x_87, y = alpha_89)[name = string("op_1531")]; |
| tensor<fp32, [1, 128, ?]> var_1532 = sin(x = var_1531)[name = string("op_1532")]; |
| fp32 var_1457_promoted_2 = const()[name = string("op_1457_promoted_2"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1533 = pow(x = var_1532, y = var_1457_promoted_2)[name = string("op_1533")]; |
| tensor<fp32, [1, 128, ?]> var_1534 = mul(x = var_1528, y = var_1533)[name = string("op_1534")]; |
| tensor<fp32, [1, 128, ?]> input_131 = add(x = x_87, y = var_1534)[name = string("input_131")]; |
| string x_89_pad_type_0 = const()[name = string("x_89_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_89_pad_0 = const()[name = string("x_89_pad_0"), val = tensor<int32, [2]>([15, 15])]; |
| tensor<int32, [1]> x_89_dilations_0 = const()[name = string("x_89_dilations_0"), val = tensor<int32, [1]>([3])]; |
| tensor<int32, [1]> x_89_strides_0 = const()[name = string("x_89_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_89_groups_0 = const()[name = string("x_89_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> x_89 = conv(bias = resblocks_5_convs1_1_bias, dilations = x_89_dilations_0, groups = x_89_groups_0, pad = x_89_pad_0, pad_type = x_89_pad_type_0, strides = x_89_strides_0, weight = resblocks_5_convs1_1_weight, x = input_131)[name = string("x_89")]; |
| tensor<fp32, [1, 128, 1]> alpha_91 = const()[name = string("alpha_91"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83271936)))]; |
| tensor<fp32, [1, 128, 1]> var_1548 = const()[name = string("op_1548"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83272512)))]; |
| tensor<fp32, [1, 128, ?]> var_1551 = mul(x = x_89, y = alpha_91)[name = string("op_1551")]; |
| tensor<fp32, [1, 128, ?]> var_1552 = sin(x = var_1551)[name = string("op_1552")]; |
| fp32 var_1457_promoted_3 = const()[name = string("op_1457_promoted_3"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1553 = pow(x = var_1552, y = var_1457_promoted_3)[name = string("op_1553")]; |
| tensor<fp32, [1, 128, ?]> var_1554 = mul(x = var_1548, y = var_1553)[name = string("op_1554")]; |
| tensor<fp32, [1, 128, ?]> input_133 = add(x = x_89, y = var_1554)[name = string("input_133")]; |
| string xt_45_pad_type_0 = const()[name = string("xt_45_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_45_pad_0 = const()[name = string("xt_45_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> xt_45_strides_0 = const()[name = string("xt_45_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_45_dilations_0 = const()[name = string("xt_45_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_45_groups_0 = const()[name = string("xt_45_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> xt_45 = conv(bias = resblocks_5_convs2_1_bias, dilations = xt_45_dilations_0, groups = xt_45_groups_0, pad = xt_45_pad_0, pad_type = xt_45_pad_type_0, strides = xt_45_strides_0, weight = resblocks_5_convs2_1_weight, x = input_133)[name = string("xt_45")]; |
| tensor<fp32, [1, 128, ?]> x_91 = add(x = xt_45, y = x_87)[name = string("x_91")]; |
| tensor<fp32, [1, 128, 1]> alpha_93 = const()[name = string("alpha_93"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83273088)))]; |
| tensor<fp32, [1, 128, 1]> var_1569 = const()[name = string("op_1569"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83273664)))]; |
| tensor<fp32, [1, 128, ?]> var_1572 = mul(x = x_91, y = alpha_93)[name = string("op_1572")]; |
| tensor<fp32, [1, 128, ?]> var_1573 = sin(x = var_1572)[name = string("op_1573")]; |
| fp32 var_1457_promoted_4 = const()[name = string("op_1457_promoted_4"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1574 = pow(x = var_1573, y = var_1457_promoted_4)[name = string("op_1574")]; |
| tensor<fp32, [1, 128, ?]> var_1575 = mul(x = var_1569, y = var_1574)[name = string("op_1575")]; |
| tensor<fp32, [1, 128, ?]> input_135 = add(x = x_91, y = var_1575)[name = string("input_135")]; |
| string x_93_pad_type_0 = const()[name = string("x_93_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_93_pad_0 = const()[name = string("x_93_pad_0"), val = tensor<int32, [2]>([25, 25])]; |
| tensor<int32, [1]> x_93_dilations_0 = const()[name = string("x_93_dilations_0"), val = tensor<int32, [1]>([5])]; |
| tensor<int32, [1]> x_93_strides_0 = const()[name = string("x_93_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_93_groups_0 = const()[name = string("x_93_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> x_93 = conv(bias = resblocks_5_convs1_2_bias, dilations = x_93_dilations_0, groups = x_93_groups_0, pad = x_93_pad_0, pad_type = x_93_pad_type_0, strides = x_93_strides_0, weight = resblocks_5_convs1_2_weight, x = input_135)[name = string("x_93")]; |
| tensor<fp32, [1, 128, 1]> alpha_95 = const()[name = string("alpha_95"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83274240)))]; |
| tensor<fp32, [1, 128, 1]> var_1589 = const()[name = string("op_1589"), val = tensor<fp32, [1, 128, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83274816)))]; |
| tensor<fp32, [1, 128, ?]> var_1592 = mul(x = x_93, y = alpha_95)[name = string("op_1592")]; |
| tensor<fp32, [1, 128, ?]> var_1593 = sin(x = var_1592)[name = string("op_1593")]; |
| fp32 var_1457_promoted_5 = const()[name = string("op_1457_promoted_5"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 128, ?]> var_1594 = pow(x = var_1593, y = var_1457_promoted_5)[name = string("op_1594")]; |
| tensor<fp32, [1, 128, ?]> var_1595 = mul(x = var_1589, y = var_1594)[name = string("op_1595")]; |
| tensor<fp32, [1, 128, ?]> input_137 = add(x = x_93, y = var_1595)[name = string("input_137")]; |
| string xt_47_pad_type_0 = const()[name = string("xt_47_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_47_pad_0 = const()[name = string("xt_47_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> xt_47_strides_0 = const()[name = string("xt_47_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_47_dilations_0 = const()[name = string("xt_47_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_47_groups_0 = const()[name = string("xt_47_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 128, ?]> xt_47 = conv(bias = resblocks_5_convs2_2_bias, dilations = xt_47_dilations_0, groups = xt_47_groups_0, pad = xt_47_pad_0, pad_type = xt_47_pad_type_0, strides = xt_47_strides_0, weight = resblocks_5_convs2_2_weight, x = input_137)[name = string("xt_47")]; |
| tensor<fp32, [1, 128, ?]> var_1604 = add(x = xt_47, y = x_91)[name = string("op_1604")]; |
| tensor<fp32, [1, 128, ?]> xs_11 = add(x = xs_9, y = var_1604)[name = string("xs_11")]; |
| fp32 _inversed_input_139_y_0 = const()[name = string("_inversed_input_139_y_0"), val = fp32(0x1.555556p-2)]; |
| tensor<fp32, [1, 128, ?]> _inversed_input_139 = mul(x = xs_11, y = _inversed_input_139_y_0)[name = string("_inversed_input_139")]; |
| fp32 var_1609 = const()[name = string("op_1609"), val = fp32(0x1.99999ap-4)]; |
| tensor<fp32, [1, 128, ?]> input_141 = leaky_relu(alpha = var_1609, x = _inversed_input_139)[name = string("input_141")]; |
| string input_143_pad_type_0 = const()[name = string("input_143_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> input_143_pad_0 = const()[name = string("input_143_pad_0"), val = tensor<int32, [2]>([2, 2])]; |
| tensor<int32, [1]> input_143_strides_0 = const()[name = string("input_143_strides_0"), val = tensor<int32, [1]>([3])]; |
| tensor<int32, [1]> input_143_dilations_0 = const()[name = string("input_143_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 input_143_groups_0 = const()[name = string("input_143_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> input_143 = conv_transpose(bias = ups_2_bias, dilations = input_143_dilations_0, groups = input_143_groups_0, pad = input_143_pad_0, pad_type = input_143_pad_type_0, strides = input_143_strides_0, weight = ups_2_weight, x = input_141)[name = string("input_143")]; |
| fp32 const_2 = const()[name = string("const_2"), val = fp32(0x0p+0)]; |
| tensor<int32, [6]> x_107_pad_0 = const()[name = string("x_107_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 1, 0])]; |
| string x_107_mode_0 = const()[name = string("x_107_mode_0"), val = string("reflect")]; |
| tensor<fp32, [1, 64, ?]> x_107 = pad(constant_val = const_2, mode = x_107_mode_0, pad = x_107_pad_0, x = input_143)[name = string("x_107")]; |
| string x_95_pad_type_0 = const()[name = string("x_95_pad_type_0"), val = string("valid")]; |
| tensor<int32, [1]> x_95_strides_0 = const()[name = string("x_95_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [2]> x_95_pad_0 = const()[name = string("x_95_pad_0"), val = tensor<int32, [2]>([0, 0])]; |
| tensor<int32, [1]> x_95_dilations_0 = const()[name = string("x_95_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_95_groups_0 = const()[name = string("x_95_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> x_95 = conv(bias = source_downs_2_bias, dilations = x_95_dilations_0, groups = x_95_groups_0, pad = x_95_pad_0, pad_type = x_95_pad_type_0, strides = x_95_strides_0, weight = source_downs_2_weight, x = input_37)[name = string("x_95")]; |
| tensor<fp32, [1, 64, 1]> alpha_97 = const()[name = string("alpha_97"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83275392)))]; |
| tensor<fp32, [1, 64, 1]> var_1680 = const()[name = string("op_1680"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83275712)))]; |
| tensor<fp32, [1, 64, ?]> var_1683 = mul(x = x_95, y = alpha_97)[name = string("op_1683")]; |
| tensor<fp32, [1, 64, ?]> var_1684 = sin(x = var_1683)[name = string("op_1684")]; |
| fp32 var_1650_promoted = const()[name = string("op_1650_promoted"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_1685 = pow(x = var_1684, y = var_1650_promoted)[name = string("op_1685")]; |
| tensor<fp32, [1, 64, ?]> var_1686 = mul(x = var_1680, y = var_1685)[name = string("op_1686")]; |
| tensor<fp32, [1, 64, ?]> input_145 = add(x = x_95, y = var_1686)[name = string("input_145")]; |
| string x_97_pad_type_0 = const()[name = string("x_97_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_97_pad_0 = const()[name = string("x_97_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> x_97_strides_0 = const()[name = string("x_97_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> x_97_dilations_0 = const()[name = string("x_97_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_97_groups_0 = const()[name = string("x_97_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> x_97 = conv(bias = source_resblocks_2_convs1_0_bias, 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 = source_resblocks_2_convs1_0_weight, x = input_145)[name = string("x_97")]; |
| tensor<fp32, [1, 64, 1]> alpha_99 = const()[name = string("alpha_99"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83276032)))]; |
| tensor<fp32, [1, 64, 1]> var_1700 = const()[name = string("op_1700"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83276352)))]; |
| tensor<fp32, [1, 64, ?]> var_1703 = mul(x = x_97, y = alpha_99)[name = string("op_1703")]; |
| tensor<fp32, [1, 64, ?]> var_1704 = sin(x = var_1703)[name = string("op_1704")]; |
| fp32 var_1650_promoted_1 = const()[name = string("op_1650_promoted_1"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_1705 = pow(x = var_1704, y = var_1650_promoted_1)[name = string("op_1705")]; |
| tensor<fp32, [1, 64, ?]> var_1706 = mul(x = var_1700, y = var_1705)[name = string("op_1706")]; |
| tensor<fp32, [1, 64, ?]> input_147 = add(x = x_97, y = var_1706)[name = string("input_147")]; |
| string xt_49_pad_type_0 = const()[name = string("xt_49_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_49_pad_0 = const()[name = string("xt_49_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> xt_49_strides_0 = const()[name = string("xt_49_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_49_dilations_0 = const()[name = string("xt_49_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_49_groups_0 = const()[name = string("xt_49_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> xt_49 = conv(bias = source_resblocks_2_convs2_0_bias, dilations = xt_49_dilations_0, groups = xt_49_groups_0, pad = xt_49_pad_0, pad_type = xt_49_pad_type_0, strides = xt_49_strides_0, weight = source_resblocks_2_convs2_0_weight, x = input_147)[name = string("xt_49")]; |
| tensor<fp32, [1, 64, ?]> x_99 = add(x = xt_49, y = x_95)[name = string("x_99")]; |
| tensor<fp32, [1, 64, 1]> alpha_101 = const()[name = string("alpha_101"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83276672)))]; |
| tensor<fp32, [1, 64, 1]> var_1721 = const()[name = string("op_1721"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83276992)))]; |
| tensor<fp32, [1, 64, ?]> var_1724 = mul(x = x_99, y = alpha_101)[name = string("op_1724")]; |
| tensor<fp32, [1, 64, ?]> var_1725 = sin(x = var_1724)[name = string("op_1725")]; |
| fp32 var_1650_promoted_2 = const()[name = string("op_1650_promoted_2"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_1726 = pow(x = var_1725, y = var_1650_promoted_2)[name = string("op_1726")]; |
| tensor<fp32, [1, 64, ?]> var_1727 = mul(x = var_1721, y = var_1726)[name = string("op_1727")]; |
| tensor<fp32, [1, 64, ?]> input_149 = add(x = x_99, y = var_1727)[name = string("input_149")]; |
| string x_101_pad_type_0 = const()[name = string("x_101_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_101_pad_0 = const()[name = string("x_101_pad_0"), val = tensor<int32, [2]>([15, 15])]; |
| tensor<int32, [1]> x_101_dilations_0 = const()[name = string("x_101_dilations_0"), val = tensor<int32, [1]>([3])]; |
| tensor<int32, [1]> x_101_strides_0 = const()[name = string("x_101_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_101_groups_0 = const()[name = string("x_101_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> x_101 = conv(bias = source_resblocks_2_convs1_1_bias, dilations = x_101_dilations_0, groups = x_101_groups_0, pad = x_101_pad_0, pad_type = x_101_pad_type_0, strides = x_101_strides_0, weight = source_resblocks_2_convs1_1_weight, x = input_149)[name = string("x_101")]; |
| tensor<fp32, [1, 64, 1]> alpha_103 = const()[name = string("alpha_103"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83277312)))]; |
| tensor<fp32, [1, 64, 1]> var_1741 = const()[name = string("op_1741"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83277632)))]; |
| tensor<fp32, [1, 64, ?]> var_1744 = mul(x = x_101, y = alpha_103)[name = string("op_1744")]; |
| tensor<fp32, [1, 64, ?]> var_1745 = sin(x = var_1744)[name = string("op_1745")]; |
| fp32 var_1650_promoted_3 = const()[name = string("op_1650_promoted_3"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_1746 = pow(x = var_1745, y = var_1650_promoted_3)[name = string("op_1746")]; |
| tensor<fp32, [1, 64, ?]> var_1747 = mul(x = var_1741, y = var_1746)[name = string("op_1747")]; |
| tensor<fp32, [1, 64, ?]> input_151 = add(x = x_101, y = var_1747)[name = string("input_151")]; |
| string xt_51_pad_type_0 = const()[name = string("xt_51_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_51_pad_0 = const()[name = string("xt_51_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> xt_51_strides_0 = const()[name = string("xt_51_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_51_dilations_0 = const()[name = string("xt_51_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_51_groups_0 = const()[name = string("xt_51_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> xt_51 = conv(bias = source_resblocks_2_convs2_1_bias, dilations = xt_51_dilations_0, groups = xt_51_groups_0, pad = xt_51_pad_0, pad_type = xt_51_pad_type_0, strides = xt_51_strides_0, weight = source_resblocks_2_convs2_1_weight, x = input_151)[name = string("xt_51")]; |
| tensor<fp32, [1, 64, ?]> x_103 = add(x = xt_51, y = x_99)[name = string("x_103")]; |
| tensor<fp32, [1, 64, 1]> alpha_105 = const()[name = string("alpha_105"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83277952)))]; |
| tensor<fp32, [1, 64, 1]> var_1762 = const()[name = string("op_1762"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83278272)))]; |
| tensor<fp32, [1, 64, ?]> var_1765 = mul(x = x_103, y = alpha_105)[name = string("op_1765")]; |
| tensor<fp32, [1, 64, ?]> var_1766 = sin(x = var_1765)[name = string("op_1766")]; |
| fp32 var_1650_promoted_4 = const()[name = string("op_1650_promoted_4"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_1767 = pow(x = var_1766, y = var_1650_promoted_4)[name = string("op_1767")]; |
| tensor<fp32, [1, 64, ?]> var_1768 = mul(x = var_1762, y = var_1767)[name = string("op_1768")]; |
| tensor<fp32, [1, 64, ?]> input_153 = add(x = x_103, y = var_1768)[name = string("input_153")]; |
| string x_105_pad_type_0 = const()[name = string("x_105_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_105_pad_0 = const()[name = string("x_105_pad_0"), val = tensor<int32, [2]>([25, 25])]; |
| tensor<int32, [1]> x_105_dilations_0 = const()[name = string("x_105_dilations_0"), val = tensor<int32, [1]>([5])]; |
| tensor<int32, [1]> x_105_strides_0 = const()[name = string("x_105_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_105_groups_0 = const()[name = string("x_105_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> x_105 = conv(bias = source_resblocks_2_convs1_2_bias, dilations = x_105_dilations_0, groups = x_105_groups_0, pad = x_105_pad_0, pad_type = x_105_pad_type_0, strides = x_105_strides_0, weight = source_resblocks_2_convs1_2_weight, x = input_153)[name = string("x_105")]; |
| tensor<fp32, [1, 64, 1]> alpha_107 = const()[name = string("alpha_107"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83278592)))]; |
| tensor<fp32, [1, 64, 1]> var_1782 = const()[name = string("op_1782"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83278912)))]; |
| tensor<fp32, [1, 64, ?]> var_1785 = mul(x = x_105, y = alpha_107)[name = string("op_1785")]; |
| tensor<fp32, [1, 64, ?]> var_1786 = sin(x = var_1785)[name = string("op_1786")]; |
| fp32 var_1650_promoted_5 = const()[name = string("op_1650_promoted_5"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_1787 = pow(x = var_1786, y = var_1650_promoted_5)[name = string("op_1787")]; |
| tensor<fp32, [1, 64, ?]> var_1788 = mul(x = var_1782, y = var_1787)[name = string("op_1788")]; |
| tensor<fp32, [1, 64, ?]> input_155 = add(x = x_105, y = var_1788)[name = string("input_155")]; |
| string xt_53_pad_type_0 = const()[name = string("xt_53_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_53_pad_0 = const()[name = string("xt_53_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> xt_53_strides_0 = const()[name = string("xt_53_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_53_dilations_0 = const()[name = string("xt_53_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_53_groups_0 = const()[name = string("xt_53_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> xt_53 = conv(bias = source_resblocks_2_convs2_2_bias, dilations = xt_53_dilations_0, groups = xt_53_groups_0, pad = xt_53_pad_0, pad_type = xt_53_pad_type_0, strides = xt_53_strides_0, weight = source_resblocks_2_convs2_2_weight, x = input_155)[name = string("xt_53")]; |
| tensor<fp32, [1, 64, ?]> si = add(x = xt_53, y = x_103)[name = string("si")]; |
| tensor<int32, [3]> var_1799_shape = shape(x = si)[name = string("op_1799_shape")]; |
| int32 gather_8_batch_dims_0 = const()[name = string("gather_8_batch_dims_0"), val = int32(0)]; |
| bool gather_8_validate_indices_0 = const()[name = string("gather_8_validate_indices_0"), val = bool(false)]; |
| int32 select_6 = const()[name = string("select_6"), val = int32(2)]; |
| int32 gather_8_axis_1 = const()[name = string("gather_8_axis_1"), val = int32(0)]; |
| int32 gather_8 = gather(axis = gather_8_axis_1, batch_dims = gather_8_batch_dims_0, indices = select_6, validate_indices = gather_8_validate_indices_0, x = var_1799_shape)[name = string("gather_8")]; |
| int32 concat_6_values0_0 = const()[name = string("concat_6_values0_0"), val = int32(1)]; |
| int32 concat_6_values1_0 = const()[name = string("concat_6_values1_0"), val = int32(64)]; |
| int32 concat_6_axis_0 = const()[name = string("concat_6_axis_0"), val = int32(0)]; |
| bool concat_6_interleave_0 = const()[name = string("concat_6_interleave_0"), val = bool(false)]; |
| tensor<int32, [3]> concat_6 = concat(axis = concat_6_axis_0, interleave = concat_6_interleave_0, values = (concat_6_values0_0, concat_6_values1_0, gather_8))[name = string("concat_6")]; |
| tensor<int32, [3]> var_1815_begin_0 = const()[name = string("op_1815_begin_0"), val = tensor<int32, [3]>([0, 0, 0])]; |
| tensor<bool, [3]> var_1815_end_mask_0 = const()[name = string("op_1815_end_mask_0"), val = tensor<bool, [3]>([true, true, false])]; |
| tensor<fp32, [1, 64, ?]> var_1815 = slice_by_index(begin = var_1815_begin_0, end = concat_6, end_mask = var_1815_end_mask_0, x = x_107)[name = string("op_1815")]; |
| tensor<int32, [3]> var_1817_shape = shape(x = x_107)[name = string("op_1817_shape")]; |
| int32 gather_9_batch_dims_0 = const()[name = string("gather_9_batch_dims_0"), val = int32(0)]; |
| bool gather_9_validate_indices_0 = const()[name = string("gather_9_validate_indices_0"), val = bool(false)]; |
| int32 select_7 = const()[name = string("select_7"), val = int32(2)]; |
| int32 gather_9_axis_1 = const()[name = string("gather_9_axis_1"), val = int32(0)]; |
| int32 gather_9 = gather(axis = gather_9_axis_1, batch_dims = gather_9_batch_dims_0, indices = select_7, validate_indices = gather_9_validate_indices_0, x = var_1817_shape)[name = string("gather_9")]; |
| int32 concat_7_values0_0 = const()[name = string("concat_7_values0_0"), val = int32(1)]; |
| int32 concat_7_values1_0 = const()[name = string("concat_7_values1_0"), val = int32(64)]; |
| int32 concat_7_axis_0 = const()[name = string("concat_7_axis_0"), val = int32(0)]; |
| bool concat_7_interleave_0 = const()[name = string("concat_7_interleave_0"), val = bool(false)]; |
| tensor<int32, [3]> concat_7 = concat(axis = concat_7_axis_0, interleave = concat_7_interleave_0, values = (concat_7_values0_0, concat_7_values1_0, gather_9))[name = string("concat_7")]; |
| tensor<int32, [3]> var_1833_begin_0 = const()[name = string("op_1833_begin_0"), val = tensor<int32, [3]>([0, 0, 0])]; |
| tensor<bool, [3]> var_1833_end_mask_0 = const()[name = string("op_1833_end_mask_0"), val = tensor<bool, [3]>([true, true, false])]; |
| tensor<fp32, [1, 64, ?]> var_1833 = slice_by_index(begin = var_1833_begin_0, end = concat_7, end_mask = var_1833_end_mask_0, x = si)[name = string("op_1833")]; |
| tensor<fp32, [1, 64, ?]> x_109 = add(x = var_1815, y = var_1833)[name = string("x_109")]; |
| tensor<fp32, [1, 64, 1]> alpha_109 = const()[name = string("alpha_109"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83279232)))]; |
| tensor<fp32, [1, 64, 1]> var_1873 = const()[name = string("op_1873"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83279552)))]; |
| tensor<fp32, [1, 64, ?]> var_1876 = mul(x = x_109, y = alpha_109)[name = string("op_1876")]; |
| tensor<fp32, [1, 64, ?]> var_1877 = sin(x = var_1876)[name = string("op_1877")]; |
| fp32 var_1843_promoted = const()[name = string("op_1843_promoted"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_1878 = pow(x = var_1877, y = var_1843_promoted)[name = string("op_1878")]; |
| tensor<fp32, [1, 64, ?]> var_1879 = mul(x = var_1873, y = var_1878)[name = string("op_1879")]; |
| tensor<fp32, [1, 64, ?]> input_157 = add(x = x_109, y = var_1879)[name = string("input_157")]; |
| string x_111_pad_type_0 = const()[name = string("x_111_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_111_pad_0 = const()[name = string("x_111_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> x_111_strides_0 = const()[name = string("x_111_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> x_111_dilations_0 = const()[name = string("x_111_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_111_groups_0 = const()[name = string("x_111_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> x_111 = conv(bias = resblocks_6_convs1_0_bias, dilations = x_111_dilations_0, groups = x_111_groups_0, pad = x_111_pad_0, pad_type = x_111_pad_type_0, strides = x_111_strides_0, weight = resblocks_6_convs1_0_weight, x = input_157)[name = string("x_111")]; |
| tensor<fp32, [1, 64, 1]> alpha_111 = const()[name = string("alpha_111"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83279872)))]; |
| tensor<fp32, [1, 64, 1]> var_1893 = const()[name = string("op_1893"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83280192)))]; |
| tensor<fp32, [1, 64, ?]> var_1896 = mul(x = x_111, y = alpha_111)[name = string("op_1896")]; |
| tensor<fp32, [1, 64, ?]> var_1897 = sin(x = var_1896)[name = string("op_1897")]; |
| fp32 var_1843_promoted_1 = const()[name = string("op_1843_promoted_1"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_1898 = pow(x = var_1897, y = var_1843_promoted_1)[name = string("op_1898")]; |
| tensor<fp32, [1, 64, ?]> var_1899 = mul(x = var_1893, y = var_1898)[name = string("op_1899")]; |
| tensor<fp32, [1, 64, ?]> input_159 = add(x = x_111, y = var_1899)[name = string("input_159")]; |
| string xt_55_pad_type_0 = const()[name = string("xt_55_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_55_pad_0 = const()[name = string("xt_55_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> xt_55_strides_0 = const()[name = string("xt_55_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_55_dilations_0 = const()[name = string("xt_55_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_55_groups_0 = const()[name = string("xt_55_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> xt_55 = conv(bias = resblocks_6_convs2_0_bias, dilations = xt_55_dilations_0, groups = xt_55_groups_0, pad = xt_55_pad_0, pad_type = xt_55_pad_type_0, strides = xt_55_strides_0, weight = resblocks_6_convs2_0_weight, x = input_159)[name = string("xt_55")]; |
| tensor<fp32, [1, 64, ?]> x_113 = add(x = xt_55, y = x_109)[name = string("x_113")]; |
| tensor<fp32, [1, 64, 1]> alpha_113 = const()[name = string("alpha_113"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83280512)))]; |
| tensor<fp32, [1, 64, 1]> var_1914 = const()[name = string("op_1914"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83280832)))]; |
| tensor<fp32, [1, 64, ?]> var_1917 = mul(x = x_113, y = alpha_113)[name = string("op_1917")]; |
| tensor<fp32, [1, 64, ?]> var_1918 = sin(x = var_1917)[name = string("op_1918")]; |
| fp32 var_1843_promoted_2 = const()[name = string("op_1843_promoted_2"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_1919 = pow(x = var_1918, y = var_1843_promoted_2)[name = string("op_1919")]; |
| tensor<fp32, [1, 64, ?]> var_1920 = mul(x = var_1914, y = var_1919)[name = string("op_1920")]; |
| tensor<fp32, [1, 64, ?]> input_161 = add(x = x_113, y = var_1920)[name = string("input_161")]; |
| string x_115_pad_type_0 = const()[name = string("x_115_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_115_pad_0 = const()[name = string("x_115_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> x_115_dilations_0 = const()[name = string("x_115_dilations_0"), val = tensor<int32, [1]>([3])]; |
| tensor<int32, [1]> x_115_strides_0 = const()[name = string("x_115_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_115_groups_0 = const()[name = string("x_115_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> x_115 = conv(bias = resblocks_6_convs1_1_bias, 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 = resblocks_6_convs1_1_weight, x = input_161)[name = string("x_115")]; |
| tensor<fp32, [1, 64, 1]> alpha_115 = const()[name = string("alpha_115"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83281152)))]; |
| tensor<fp32, [1, 64, 1]> var_1934 = const()[name = string("op_1934"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83281472)))]; |
| tensor<fp32, [1, 64, ?]> var_1937 = mul(x = x_115, y = alpha_115)[name = string("op_1937")]; |
| tensor<fp32, [1, 64, ?]> var_1938 = sin(x = var_1937)[name = string("op_1938")]; |
| fp32 var_1843_promoted_3 = const()[name = string("op_1843_promoted_3"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_1939 = pow(x = var_1938, y = var_1843_promoted_3)[name = string("op_1939")]; |
| tensor<fp32, [1, 64, ?]> var_1940 = mul(x = var_1934, y = var_1939)[name = string("op_1940")]; |
| tensor<fp32, [1, 64, ?]> input_163 = add(x = x_115, y = var_1940)[name = string("input_163")]; |
| string xt_57_pad_type_0 = const()[name = string("xt_57_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_57_pad_0 = const()[name = string("xt_57_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> xt_57_strides_0 = const()[name = string("xt_57_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_57_dilations_0 = const()[name = string("xt_57_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_57_groups_0 = const()[name = string("xt_57_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> xt_57 = conv(bias = resblocks_6_convs2_1_bias, dilations = xt_57_dilations_0, groups = xt_57_groups_0, pad = xt_57_pad_0, pad_type = xt_57_pad_type_0, strides = xt_57_strides_0, weight = resblocks_6_convs2_1_weight, x = input_163)[name = string("xt_57")]; |
| tensor<fp32, [1, 64, ?]> x_117 = add(x = xt_57, y = x_113)[name = string("x_117")]; |
| tensor<fp32, [1, 64, 1]> alpha_117 = const()[name = string("alpha_117"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83281792)))]; |
| tensor<fp32, [1, 64, 1]> var_1955 = const()[name = string("op_1955"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83282112)))]; |
| tensor<fp32, [1, 64, ?]> var_1958 = mul(x = x_117, y = alpha_117)[name = string("op_1958")]; |
| tensor<fp32, [1, 64, ?]> var_1959 = sin(x = var_1958)[name = string("op_1959")]; |
| fp32 var_1843_promoted_4 = const()[name = string("op_1843_promoted_4"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_1960 = pow(x = var_1959, y = var_1843_promoted_4)[name = string("op_1960")]; |
| tensor<fp32, [1, 64, ?]> var_1961 = mul(x = var_1955, y = var_1960)[name = string("op_1961")]; |
| tensor<fp32, [1, 64, ?]> input_165 = add(x = x_117, y = var_1961)[name = string("input_165")]; |
| string x_119_pad_type_0 = const()[name = string("x_119_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_119_pad_0 = const()[name = string("x_119_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> x_119_dilations_0 = const()[name = string("x_119_dilations_0"), val = tensor<int32, [1]>([5])]; |
| tensor<int32, [1]> x_119_strides_0 = const()[name = string("x_119_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_119_groups_0 = const()[name = string("x_119_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> x_119 = conv(bias = resblocks_6_convs1_2_bias, dilations = x_119_dilations_0, groups = x_119_groups_0, pad = x_119_pad_0, pad_type = x_119_pad_type_0, strides = x_119_strides_0, weight = resblocks_6_convs1_2_weight, x = input_165)[name = string("x_119")]; |
| tensor<fp32, [1, 64, 1]> alpha_119 = const()[name = string("alpha_119"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83282432)))]; |
| tensor<fp32, [1, 64, 1]> var_1975 = const()[name = string("op_1975"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83282752)))]; |
| tensor<fp32, [1, 64, ?]> var_1978 = mul(x = x_119, y = alpha_119)[name = string("op_1978")]; |
| tensor<fp32, [1, 64, ?]> var_1979 = sin(x = var_1978)[name = string("op_1979")]; |
| fp32 var_1843_promoted_5 = const()[name = string("op_1843_promoted_5"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_1980 = pow(x = var_1979, y = var_1843_promoted_5)[name = string("op_1980")]; |
| tensor<fp32, [1, 64, ?]> var_1981 = mul(x = var_1975, y = var_1980)[name = string("op_1981")]; |
| tensor<fp32, [1, 64, ?]> input_167 = add(x = x_119, y = var_1981)[name = string("input_167")]; |
| string xt_59_pad_type_0 = const()[name = string("xt_59_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_59_pad_0 = const()[name = string("xt_59_pad_0"), val = tensor<int32, [2]>([1, 1])]; |
| tensor<int32, [1]> xt_59_strides_0 = const()[name = string("xt_59_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_59_dilations_0 = const()[name = string("xt_59_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_59_groups_0 = const()[name = string("xt_59_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> xt_59 = conv(bias = resblocks_6_convs2_2_bias, dilations = xt_59_dilations_0, groups = xt_59_groups_0, pad = xt_59_pad_0, pad_type = xt_59_pad_type_0, strides = xt_59_strides_0, weight = resblocks_6_convs2_2_weight, x = input_167)[name = string("xt_59")]; |
| tensor<fp32, [1, 64, ?]> xs_13 = add(x = xt_59, y = x_117)[name = string("xs_13")]; |
| tensor<fp32, [1, 64, 1]> alpha_121 = const()[name = string("alpha_121"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83283072)))]; |
| tensor<fp32, [1, 64, 1]> var_2030 = const()[name = string("op_2030"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83283392)))]; |
| tensor<fp32, [1, 64, ?]> var_2033 = mul(x = x_109, y = alpha_121)[name = string("op_2033")]; |
| tensor<fp32, [1, 64, ?]> var_2034 = sin(x = var_2033)[name = string("op_2034")]; |
| fp32 var_2000_promoted = const()[name = string("op_2000_promoted"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_2035 = pow(x = var_2034, y = var_2000_promoted)[name = string("op_2035")]; |
| tensor<fp32, [1, 64, ?]> var_2036 = mul(x = var_2030, y = var_2035)[name = string("op_2036")]; |
| tensor<fp32, [1, 64, ?]> input_169 = add(x = x_109, y = var_2036)[name = string("input_169")]; |
| string x_121_pad_type_0 = const()[name = string("x_121_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_121_pad_0 = const()[name = string("x_121_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> x_121_strides_0 = const()[name = string("x_121_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> x_121_dilations_0 = const()[name = string("x_121_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_121_groups_0 = const()[name = string("x_121_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> x_121 = conv(bias = resblocks_7_convs1_0_bias, 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 = resblocks_7_convs1_0_weight, x = input_169)[name = string("x_121")]; |
| tensor<fp32, [1, 64, 1]> alpha_123 = const()[name = string("alpha_123"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83283712)))]; |
| tensor<fp32, [1, 64, 1]> var_2050 = const()[name = string("op_2050"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83284032)))]; |
| tensor<fp32, [1, 64, ?]> var_2053 = mul(x = x_121, y = alpha_123)[name = string("op_2053")]; |
| tensor<fp32, [1, 64, ?]> var_2054 = sin(x = var_2053)[name = string("op_2054")]; |
| fp32 var_2000_promoted_1 = const()[name = string("op_2000_promoted_1"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_2055 = pow(x = var_2054, y = var_2000_promoted_1)[name = string("op_2055")]; |
| tensor<fp32, [1, 64, ?]> var_2056 = mul(x = var_2050, y = var_2055)[name = string("op_2056")]; |
| tensor<fp32, [1, 64, ?]> input_171 = add(x = x_121, y = var_2056)[name = string("input_171")]; |
| string xt_61_pad_type_0 = const()[name = string("xt_61_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_61_pad_0 = const()[name = string("xt_61_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_61_strides_0 = const()[name = string("xt_61_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_61_dilations_0 = const()[name = string("xt_61_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_61_groups_0 = const()[name = string("xt_61_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> xt_61 = conv(bias = resblocks_7_convs2_0_bias, dilations = xt_61_dilations_0, groups = xt_61_groups_0, pad = xt_61_pad_0, pad_type = xt_61_pad_type_0, strides = xt_61_strides_0, weight = resblocks_7_convs2_0_weight, x = input_171)[name = string("xt_61")]; |
| tensor<fp32, [1, 64, ?]> x_123 = add(x = xt_61, y = x_109)[name = string("x_123")]; |
| tensor<fp32, [1, 64, 1]> alpha_125 = const()[name = string("alpha_125"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83284352)))]; |
| tensor<fp32, [1, 64, 1]> var_2071 = const()[name = string("op_2071"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83284672)))]; |
| tensor<fp32, [1, 64, ?]> var_2074 = mul(x = x_123, y = alpha_125)[name = string("op_2074")]; |
| tensor<fp32, [1, 64, ?]> var_2075 = sin(x = var_2074)[name = string("op_2075")]; |
| fp32 var_2000_promoted_2 = const()[name = string("op_2000_promoted_2"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_2076 = pow(x = var_2075, y = var_2000_promoted_2)[name = string("op_2076")]; |
| tensor<fp32, [1, 64, ?]> var_2077 = mul(x = var_2071, y = var_2076)[name = string("op_2077")]; |
| tensor<fp32, [1, 64, ?]> input_173 = add(x = x_123, y = var_2077)[name = string("input_173")]; |
| string x_125_pad_type_0 = const()[name = string("x_125_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_125_pad_0 = const()[name = string("x_125_pad_0"), val = tensor<int32, [2]>([9, 9])]; |
| tensor<int32, [1]> x_125_dilations_0 = const()[name = string("x_125_dilations_0"), val = tensor<int32, [1]>([3])]; |
| tensor<int32, [1]> x_125_strides_0 = const()[name = string("x_125_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_125_groups_0 = const()[name = string("x_125_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> x_125 = conv(bias = resblocks_7_convs1_1_bias, dilations = x_125_dilations_0, groups = x_125_groups_0, pad = x_125_pad_0, pad_type = x_125_pad_type_0, strides = x_125_strides_0, weight = resblocks_7_convs1_1_weight, x = input_173)[name = string("x_125")]; |
| tensor<fp32, [1, 64, 1]> alpha_127 = const()[name = string("alpha_127"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83284992)))]; |
| tensor<fp32, [1, 64, 1]> var_2091 = const()[name = string("op_2091"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83285312)))]; |
| tensor<fp32, [1, 64, ?]> var_2094 = mul(x = x_125, y = alpha_127)[name = string("op_2094")]; |
| tensor<fp32, [1, 64, ?]> var_2095 = sin(x = var_2094)[name = string("op_2095")]; |
| fp32 var_2000_promoted_3 = const()[name = string("op_2000_promoted_3"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_2096 = pow(x = var_2095, y = var_2000_promoted_3)[name = string("op_2096")]; |
| tensor<fp32, [1, 64, ?]> var_2097 = mul(x = var_2091, y = var_2096)[name = string("op_2097")]; |
| tensor<fp32, [1, 64, ?]> input_175 = add(x = x_125, y = var_2097)[name = string("input_175")]; |
| string xt_63_pad_type_0 = const()[name = string("xt_63_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_63_pad_0 = const()[name = string("xt_63_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_63_strides_0 = const()[name = string("xt_63_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_63_dilations_0 = const()[name = string("xt_63_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_63_groups_0 = const()[name = string("xt_63_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> xt_63 = conv(bias = resblocks_7_convs2_1_bias, dilations = xt_63_dilations_0, groups = xt_63_groups_0, pad = xt_63_pad_0, pad_type = xt_63_pad_type_0, strides = xt_63_strides_0, weight = resblocks_7_convs2_1_weight, x = input_175)[name = string("xt_63")]; |
| tensor<fp32, [1, 64, ?]> x_127 = add(x = xt_63, y = x_123)[name = string("x_127")]; |
| tensor<fp32, [1, 64, 1]> alpha_129 = const()[name = string("alpha_129"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83285632)))]; |
| tensor<fp32, [1, 64, 1]> var_2112 = const()[name = string("op_2112"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83285952)))]; |
| tensor<fp32, [1, 64, ?]> var_2115 = mul(x = x_127, y = alpha_129)[name = string("op_2115")]; |
| tensor<fp32, [1, 64, ?]> var_2116 = sin(x = var_2115)[name = string("op_2116")]; |
| fp32 var_2000_promoted_4 = const()[name = string("op_2000_promoted_4"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_2117 = pow(x = var_2116, y = var_2000_promoted_4)[name = string("op_2117")]; |
| tensor<fp32, [1, 64, ?]> var_2118 = mul(x = var_2112, y = var_2117)[name = string("op_2118")]; |
| tensor<fp32, [1, 64, ?]> input_177 = add(x = x_127, y = var_2118)[name = string("input_177")]; |
| string x_129_pad_type_0 = const()[name = string("x_129_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_129_pad_0 = const()[name = string("x_129_pad_0"), val = tensor<int32, [2]>([15, 15])]; |
| tensor<int32, [1]> x_129_dilations_0 = const()[name = string("x_129_dilations_0"), val = tensor<int32, [1]>([5])]; |
| tensor<int32, [1]> x_129_strides_0 = const()[name = string("x_129_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_129_groups_0 = const()[name = string("x_129_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> x_129 = conv(bias = resblocks_7_convs1_2_bias, dilations = x_129_dilations_0, groups = x_129_groups_0, pad = x_129_pad_0, pad_type = x_129_pad_type_0, strides = x_129_strides_0, weight = resblocks_7_convs1_2_weight, x = input_177)[name = string("x_129")]; |
| tensor<fp32, [1, 64, 1]> alpha_131 = const()[name = string("alpha_131"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83286272)))]; |
| tensor<fp32, [1, 64, 1]> var_2132 = const()[name = string("op_2132"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83286592)))]; |
| tensor<fp32, [1, 64, ?]> var_2135 = mul(x = x_129, y = alpha_131)[name = string("op_2135")]; |
| tensor<fp32, [1, 64, ?]> var_2136 = sin(x = var_2135)[name = string("op_2136")]; |
| fp32 var_2000_promoted_5 = const()[name = string("op_2000_promoted_5"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_2137 = pow(x = var_2136, y = var_2000_promoted_5)[name = string("op_2137")]; |
| tensor<fp32, [1, 64, ?]> var_2138 = mul(x = var_2132, y = var_2137)[name = string("op_2138")]; |
| tensor<fp32, [1, 64, ?]> input_179 = add(x = x_129, y = var_2138)[name = string("input_179")]; |
| string xt_65_pad_type_0 = const()[name = string("xt_65_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_65_pad_0 = const()[name = string("xt_65_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> xt_65_strides_0 = const()[name = string("xt_65_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_65_dilations_0 = const()[name = string("xt_65_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_65_groups_0 = const()[name = string("xt_65_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> xt_65 = conv(bias = resblocks_7_convs2_2_bias, dilations = xt_65_dilations_0, groups = xt_65_groups_0, pad = xt_65_pad_0, pad_type = xt_65_pad_type_0, strides = xt_65_strides_0, weight = resblocks_7_convs2_2_weight, x = input_179)[name = string("xt_65")]; |
| tensor<fp32, [1, 64, ?]> var_2147 = add(x = xt_65, y = x_127)[name = string("op_2147")]; |
| tensor<fp32, [1, 64, ?]> xs_15 = add(x = xs_13, y = var_2147)[name = string("xs_15")]; |
| tensor<fp32, [1, 64, 1]> alpha_133 = const()[name = string("alpha_133"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83286912)))]; |
| tensor<fp32, [1, 64, 1]> var_2189 = const()[name = string("op_2189"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83287232)))]; |
| tensor<fp32, [1, 64, ?]> var_2192 = mul(x = x_109, y = alpha_133)[name = string("op_2192")]; |
| tensor<fp32, [1, 64, ?]> var_2193 = sin(x = var_2192)[name = string("op_2193")]; |
| fp32 var_2159_promoted = const()[name = string("op_2159_promoted"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_2194 = pow(x = var_2193, y = var_2159_promoted)[name = string("op_2194")]; |
| tensor<fp32, [1, 64, ?]> var_2195 = mul(x = var_2189, y = var_2194)[name = string("op_2195")]; |
| tensor<fp32, [1, 64, ?]> input_181 = add(x = x_109, y = var_2195)[name = string("input_181")]; |
| string x_131_pad_type_0 = const()[name = string("x_131_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_131_pad_0 = const()[name = string("x_131_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> x_131_strides_0 = const()[name = string("x_131_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> x_131_dilations_0 = const()[name = string("x_131_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_131_groups_0 = const()[name = string("x_131_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> x_131 = conv(bias = resblocks_8_convs1_0_bias, dilations = x_131_dilations_0, groups = x_131_groups_0, pad = x_131_pad_0, pad_type = x_131_pad_type_0, strides = x_131_strides_0, weight = resblocks_8_convs1_0_weight, x = input_181)[name = string("x_131")]; |
| tensor<fp32, [1, 64, 1]> alpha_135 = const()[name = string("alpha_135"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83287552)))]; |
| tensor<fp32, [1, 64, 1]> var_2209 = const()[name = string("op_2209"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83287872)))]; |
| tensor<fp32, [1, 64, ?]> var_2212 = mul(x = x_131, y = alpha_135)[name = string("op_2212")]; |
| tensor<fp32, [1, 64, ?]> var_2213 = sin(x = var_2212)[name = string("op_2213")]; |
| fp32 var_2159_promoted_1 = const()[name = string("op_2159_promoted_1"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_2214 = pow(x = var_2213, y = var_2159_promoted_1)[name = string("op_2214")]; |
| tensor<fp32, [1, 64, ?]> var_2215 = mul(x = var_2209, y = var_2214)[name = string("op_2215")]; |
| tensor<fp32, [1, 64, ?]> input_183 = add(x = x_131, y = var_2215)[name = string("input_183")]; |
| string xt_67_pad_type_0 = const()[name = string("xt_67_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_67_pad_0 = const()[name = string("xt_67_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> xt_67_strides_0 = const()[name = string("xt_67_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_67_dilations_0 = const()[name = string("xt_67_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_67_groups_0 = const()[name = string("xt_67_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> xt_67 = conv(bias = resblocks_8_convs2_0_bias, dilations = xt_67_dilations_0, groups = xt_67_groups_0, pad = xt_67_pad_0, pad_type = xt_67_pad_type_0, strides = xt_67_strides_0, weight = resblocks_8_convs2_0_weight, x = input_183)[name = string("xt_67")]; |
| tensor<fp32, [1, 64, ?]> x_133 = add(x = xt_67, y = x_109)[name = string("x_133")]; |
| tensor<fp32, [1, 64, 1]> alpha_137 = const()[name = string("alpha_137"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83288192)))]; |
| tensor<fp32, [1, 64, 1]> var_2230 = const()[name = string("op_2230"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83288512)))]; |
| tensor<fp32, [1, 64, ?]> var_2233 = mul(x = x_133, y = alpha_137)[name = string("op_2233")]; |
| tensor<fp32, [1, 64, ?]> var_2234 = sin(x = var_2233)[name = string("op_2234")]; |
| fp32 var_2159_promoted_2 = const()[name = string("op_2159_promoted_2"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_2235 = pow(x = var_2234, y = var_2159_promoted_2)[name = string("op_2235")]; |
| tensor<fp32, [1, 64, ?]> var_2236 = mul(x = var_2230, y = var_2235)[name = string("op_2236")]; |
| tensor<fp32, [1, 64, ?]> input_185 = add(x = x_133, y = var_2236)[name = string("input_185")]; |
| string x_135_pad_type_0 = const()[name = string("x_135_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_135_pad_0 = const()[name = string("x_135_pad_0"), val = tensor<int32, [2]>([15, 15])]; |
| tensor<int32, [1]> x_135_dilations_0 = const()[name = string("x_135_dilations_0"), val = tensor<int32, [1]>([3])]; |
| tensor<int32, [1]> x_135_strides_0 = const()[name = string("x_135_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_135_groups_0 = const()[name = string("x_135_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> x_135 = conv(bias = resblocks_8_convs1_1_bias, dilations = x_135_dilations_0, groups = x_135_groups_0, pad = x_135_pad_0, pad_type = x_135_pad_type_0, strides = x_135_strides_0, weight = resblocks_8_convs1_1_weight, x = input_185)[name = string("x_135")]; |
| tensor<fp32, [1, 64, 1]> alpha_139 = const()[name = string("alpha_139"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83288832)))]; |
| tensor<fp32, [1, 64, 1]> var_2250 = const()[name = string("op_2250"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83289152)))]; |
| tensor<fp32, [1, 64, ?]> var_2253 = mul(x = x_135, y = alpha_139)[name = string("op_2253")]; |
| tensor<fp32, [1, 64, ?]> var_2254 = sin(x = var_2253)[name = string("op_2254")]; |
| fp32 var_2159_promoted_3 = const()[name = string("op_2159_promoted_3"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_2255 = pow(x = var_2254, y = var_2159_promoted_3)[name = string("op_2255")]; |
| tensor<fp32, [1, 64, ?]> var_2256 = mul(x = var_2250, y = var_2255)[name = string("op_2256")]; |
| tensor<fp32, [1, 64, ?]> input_187 = add(x = x_135, y = var_2256)[name = string("input_187")]; |
| string xt_69_pad_type_0 = const()[name = string("xt_69_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_69_pad_0 = const()[name = string("xt_69_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> xt_69_strides_0 = const()[name = string("xt_69_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_69_dilations_0 = const()[name = string("xt_69_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_69_groups_0 = const()[name = string("xt_69_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> xt_69 = conv(bias = resblocks_8_convs2_1_bias, dilations = xt_69_dilations_0, groups = xt_69_groups_0, pad = xt_69_pad_0, pad_type = xt_69_pad_type_0, strides = xt_69_strides_0, weight = resblocks_8_convs2_1_weight, x = input_187)[name = string("xt_69")]; |
| tensor<fp32, [1, 64, ?]> x_137 = add(x = xt_69, y = x_133)[name = string("x_137")]; |
| tensor<fp32, [1, 64, 1]> alpha_141 = const()[name = string("alpha_141"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83289472)))]; |
| tensor<fp32, [1, 64, 1]> var_2271 = const()[name = string("op_2271"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83289792)))]; |
| tensor<fp32, [1, 64, ?]> var_2274 = mul(x = x_137, y = alpha_141)[name = string("op_2274")]; |
| tensor<fp32, [1, 64, ?]> var_2275 = sin(x = var_2274)[name = string("op_2275")]; |
| fp32 var_2159_promoted_4 = const()[name = string("op_2159_promoted_4"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_2276 = pow(x = var_2275, y = var_2159_promoted_4)[name = string("op_2276")]; |
| tensor<fp32, [1, 64, ?]> var_2277 = mul(x = var_2271, y = var_2276)[name = string("op_2277")]; |
| tensor<fp32, [1, 64, ?]> input_189 = add(x = x_137, y = var_2277)[name = string("input_189")]; |
| string x_pad_type_0 = const()[name = string("x_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> x_pad_0 = const()[name = string("x_pad_0"), val = tensor<int32, [2]>([25, 25])]; |
| tensor<int32, [1]> x_dilations_0 = const()[name = string("x_dilations_0"), val = tensor<int32, [1]>([5])]; |
| tensor<int32, [1]> x_strides_0 = const()[name = string("x_strides_0"), val = tensor<int32, [1]>([1])]; |
| int32 x_groups_0 = const()[name = string("x_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> x = conv(bias = resblocks_8_convs1_2_bias, dilations = x_dilations_0, groups = x_groups_0, pad = x_pad_0, pad_type = x_pad_type_0, strides = x_strides_0, weight = resblocks_8_convs1_2_weight, x = input_189)[name = string("x")]; |
| tensor<fp32, [1, 64, 1]> alpha_143 = const()[name = string("alpha_143"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83290112)))]; |
| tensor<fp32, [1, 64, 1]> var_2291 = const()[name = string("op_2291"), val = tensor<fp32, [1, 64, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83290432)))]; |
| tensor<fp32, [1, 64, ?]> var_2294 = mul(x = x, y = alpha_143)[name = string("op_2294")]; |
| tensor<fp32, [1, 64, ?]> var_2295 = sin(x = var_2294)[name = string("op_2295")]; |
| fp32 var_2159_promoted_5 = const()[name = string("op_2159_promoted_5"), val = fp32(0x1p+1)]; |
| tensor<fp32, [1, 64, ?]> var_2296 = pow(x = var_2295, y = var_2159_promoted_5)[name = string("op_2296")]; |
| tensor<fp32, [1, 64, ?]> var_2297 = mul(x = var_2291, y = var_2296)[name = string("op_2297")]; |
| tensor<fp32, [1, 64, ?]> input_191 = add(x = x, y = var_2297)[name = string("input_191")]; |
| string xt_pad_type_0 = const()[name = string("xt_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> xt_pad_0 = const()[name = string("xt_pad_0"), val = tensor<int32, [2]>([5, 5])]; |
| tensor<int32, [1]> xt_strides_0 = const()[name = string("xt_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> xt_dilations_0 = const()[name = string("xt_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 xt_groups_0 = const()[name = string("xt_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 64, ?]> xt = conv(bias = resblocks_8_convs2_2_bias, dilations = xt_dilations_0, groups = xt_groups_0, pad = xt_pad_0, pad_type = xt_pad_type_0, strides = xt_strides_0, weight = resblocks_8_convs2_2_weight, x = input_191)[name = string("xt")]; |
| tensor<fp32, [1, 64, ?]> var_2306 = add(x = xt, y = x_137)[name = string("op_2306")]; |
| tensor<fp32, [1, 64, ?]> xs = add(x = xs_15, y = var_2306)[name = string("xs")]; |
| fp32 _inversed_input_193_y_0 = const()[name = string("_inversed_input_193_y_0"), val = fp32(0x1.555556p-2)]; |
| tensor<fp32, [1, 64, ?]> _inversed_input_193 = mul(x = xs, y = _inversed_input_193_y_0)[name = string("_inversed_input_193")]; |
| fp32 var_2311 = const()[name = string("op_2311"), val = fp32(0x1.47ae14p-7)]; |
| tensor<fp32, [1, 64, ?]> input = leaky_relu(alpha = var_2311, x = _inversed_input_193)[name = string("input")]; |
| string var_2324_pad_type_0 = const()[name = string("op_2324_pad_type_0"), val = string("custom")]; |
| tensor<int32, [2]> var_2324_pad_0 = const()[name = string("op_2324_pad_0"), val = tensor<int32, [2]>([3, 3])]; |
| tensor<int32, [1]> var_2324_strides_0 = const()[name = string("op_2324_strides_0"), val = tensor<int32, [1]>([1])]; |
| tensor<int32, [1]> var_2324_dilations_0 = const()[name = string("op_2324_dilations_0"), val = tensor<int32, [1]>([1])]; |
| int32 var_2324_groups_0 = const()[name = string("op_2324_groups_0"), val = int32(1)]; |
| tensor<fp32, [1, 18, ?]> conv_post_out = conv(bias = conv_post_bias, dilations = var_2324_dilations_0, groups = var_2324_groups_0, pad = var_2324_pad_0, pad_type = var_2324_pad_type_0, strides = var_2324_strides_0, weight = conv_post_weight, x = input)[name = string("op_2324")]; |
| } -> (conv_post_out); |
| } |
