program(1.3) [buildInfo = dict({{"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(tensor mel) [FlexibleShapeInformation = tuple>>, tuple, ?>>>>((("DefaultShapes", {{"mel", [1, 80, 46]}}), ("RangeDims", {{"mel", [[1, 1], [80, 80], [10, 1000]]}})))] { tensor f0_predictor_condnet_0_bias = const()[name = string("f0_predictor_condnet_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(64)))]; tensor f0_predictor_condnet_0_weight = const()[name = string("f0_predictor_condnet_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(2176)))]; tensor f0_predictor_condnet_2_bias = const()[name = string("f0_predictor_condnet_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(493760)))]; tensor f0_predictor_condnet_2_weight = const()[name = string("f0_predictor_condnet_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(495872)))]; tensor f0_predictor_condnet_4_bias = const()[name = string("f0_predictor_condnet_4_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(3641664)))]; tensor f0_predictor_condnet_4_weight = const()[name = string("f0_predictor_condnet_4_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(3643776)))]; tensor f0_predictor_condnet_6_bias = const()[name = string("f0_predictor_condnet_6_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(6789568)))]; tensor f0_predictor_condnet_6_weight = const()[name = string("f0_predictor_condnet_6_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(6791680)))]; tensor f0_predictor_condnet_8_bias = const()[name = string("f0_predictor_condnet_8_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(9937472)))]; tensor f0_predictor_condnet_8_weight = const()[name = string("f0_predictor_condnet_8_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(9939584)))]; tensor f0_predictor_classifier_bias = const()[name = string("f0_predictor_classifier_bias"), val = tensor([0x1.0b5072p-4])]; tensor f0_predictor_classifier_weight = const()[name = string("f0_predictor_classifier_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(13085376)))]; tensor l_linear_bias = const()[name = string("l_linear_bias"), val = tensor([0x1.830c72p-8])]; tensor l_linear_weight = const()[name = string("l_linear_weight"), val = tensor([[-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 conv_pre_bias = const()[name = string("conv_pre_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(13087488)))]; tensor conv_pre_weight = const()[name = string("conv_pre_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(13089600)))]; tensor ups_0_bias = const()[name = string("ups_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(14236544)))]; tensor ups_0_weight = const()[name = string("ups_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(14237632)))]; tensor source_downs_0_bias = const()[name = string("source_downs_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(22626304)))]; tensor source_downs_0_weight = const()[name = string("source_downs_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(22627392)))]; tensor source_resblocks_0_convs1_0_bias = const()[name = string("source_resblocks_0_convs1_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(23180416)))]; tensor source_resblocks_0_convs1_0_weight = const()[name = string("source_resblocks_0_convs1_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(23181504)))]; tensor source_resblocks_0_convs2_0_bias = const()[name = string("source_resblocks_0_convs2_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(25016576)))]; tensor source_resblocks_0_convs2_0_weight = const()[name = string("source_resblocks_0_convs2_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(25017664)))]; tensor source_resblocks_0_convs1_1_bias = const()[name = string("source_resblocks_0_convs1_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(26852736)))]; tensor source_resblocks_0_convs1_1_weight = const()[name = string("source_resblocks_0_convs1_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(26853824)))]; tensor source_resblocks_0_convs2_1_bias = const()[name = string("source_resblocks_0_convs2_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(28688896)))]; tensor source_resblocks_0_convs2_1_weight = const()[name = string("source_resblocks_0_convs2_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(28689984)))]; tensor source_resblocks_0_convs1_2_bias = const()[name = string("source_resblocks_0_convs1_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(30525056)))]; tensor source_resblocks_0_convs1_2_weight = const()[name = string("source_resblocks_0_convs1_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(30526144)))]; tensor source_resblocks_0_convs2_2_bias = const()[name = string("source_resblocks_0_convs2_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(32361216)))]; tensor source_resblocks_0_convs2_2_weight = const()[name = string("source_resblocks_0_convs2_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(32362304)))]; tensor resblocks_0_convs1_0_bias = const()[name = string("resblocks_0_convs1_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34197376)))]; tensor resblocks_0_convs1_0_weight = const()[name = string("resblocks_0_convs1_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34198464)))]; tensor resblocks_0_convs2_0_bias = const()[name = string("resblocks_0_convs2_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34984960)))]; tensor resblocks_0_convs2_0_weight = const()[name = string("resblocks_0_convs2_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(34986048)))]; tensor resblocks_0_convs1_1_bias = const()[name = string("resblocks_0_convs1_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35772544)))]; tensor resblocks_0_convs1_1_weight = const()[name = string("resblocks_0_convs1_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(35773632)))]; tensor resblocks_0_convs2_1_bias = const()[name = string("resblocks_0_convs2_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36560128)))]; tensor resblocks_0_convs2_1_weight = const()[name = string("resblocks_0_convs2_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(36561216)))]; tensor resblocks_0_convs1_2_bias = const()[name = string("resblocks_0_convs1_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37347712)))]; tensor resblocks_0_convs1_2_weight = const()[name = string("resblocks_0_convs1_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(37348800)))]; tensor resblocks_0_convs2_2_bias = const()[name = string("resblocks_0_convs2_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38135296)))]; tensor resblocks_0_convs2_2_weight = const()[name = string("resblocks_0_convs2_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38136384)))]; tensor resblocks_1_convs1_0_bias = const()[name = string("resblocks_1_convs1_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38922880)))]; tensor resblocks_1_convs1_0_weight = const()[name = string("resblocks_1_convs1_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(38923968)))]; tensor resblocks_1_convs2_0_bias = const()[name = string("resblocks_1_convs2_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40759040)))]; tensor resblocks_1_convs2_0_weight = const()[name = string("resblocks_1_convs2_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(40760128)))]; tensor resblocks_1_convs1_1_bias = const()[name = string("resblocks_1_convs1_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(42595200)))]; tensor resblocks_1_convs1_1_weight = const()[name = string("resblocks_1_convs1_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(42596288)))]; tensor resblocks_1_convs2_1_bias = const()[name = string("resblocks_1_convs2_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(44431360)))]; tensor resblocks_1_convs2_1_weight = const()[name = string("resblocks_1_convs2_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(44432448)))]; tensor resblocks_1_convs1_2_bias = const()[name = string("resblocks_1_convs1_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(46267520)))]; tensor resblocks_1_convs1_2_weight = const()[name = string("resblocks_1_convs1_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(46268608)))]; tensor resblocks_1_convs2_2_bias = const()[name = string("resblocks_1_convs2_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(48103680)))]; tensor resblocks_1_convs2_2_weight = const()[name = string("resblocks_1_convs2_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(48104768)))]; tensor resblocks_2_convs1_0_bias = const()[name = string("resblocks_2_convs1_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(49939840)))]; tensor resblocks_2_convs1_0_weight = const()[name = string("resblocks_2_convs1_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(49940928)))]; tensor resblocks_2_convs2_0_bias = const()[name = string("resblocks_2_convs2_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(52824576)))]; tensor resblocks_2_convs2_0_weight = const()[name = string("resblocks_2_convs2_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(52825664)))]; tensor resblocks_2_convs1_1_bias = const()[name = string("resblocks_2_convs1_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(55709312)))]; tensor resblocks_2_convs1_1_weight = const()[name = string("resblocks_2_convs1_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(55710400)))]; tensor resblocks_2_convs2_1_bias = const()[name = string("resblocks_2_convs2_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(58594048)))]; tensor resblocks_2_convs2_1_weight = const()[name = string("resblocks_2_convs2_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(58595136)))]; tensor resblocks_2_convs1_2_bias = const()[name = string("resblocks_2_convs1_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(61478784)))]; tensor resblocks_2_convs1_2_weight = const()[name = string("resblocks_2_convs1_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(61479872)))]; tensor resblocks_2_convs2_2_bias = const()[name = string("resblocks_2_convs2_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(64363520)))]; tensor resblocks_2_convs2_2_weight = const()[name = string("resblocks_2_convs2_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(64364608)))]; tensor ups_1_bias = const()[name = string("ups_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(67248256)))]; tensor ups_1_weight = const()[name = string("ups_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(67248832)))]; tensor source_downs_1_bias = const()[name = string("source_downs_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(68690688)))]; tensor source_downs_1_weight = const()[name = string("source_downs_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(68691264)))]; tensor source_resblocks_1_convs1_0_bias = const()[name = string("source_resblocks_1_convs1_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(68746624)))]; tensor source_resblocks_1_convs1_0_weight = const()[name = string("source_resblocks_1_convs1_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(68747200)))]; tensor source_resblocks_1_convs2_0_bias = const()[name = string("source_resblocks_1_convs2_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69206016)))]; tensor source_resblocks_1_convs2_0_weight = const()[name = string("source_resblocks_1_convs2_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69206592)))]; tensor source_resblocks_1_convs1_1_bias = const()[name = string("source_resblocks_1_convs1_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69665408)))]; tensor source_resblocks_1_convs1_1_weight = const()[name = string("source_resblocks_1_convs1_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(69665984)))]; tensor source_resblocks_1_convs2_1_bias = const()[name = string("source_resblocks_1_convs2_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(70124800)))]; tensor source_resblocks_1_convs2_1_weight = const()[name = string("source_resblocks_1_convs2_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(70125376)))]; tensor source_resblocks_1_convs1_2_bias = const()[name = string("source_resblocks_1_convs1_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(70584192)))]; tensor source_resblocks_1_convs1_2_weight = const()[name = string("source_resblocks_1_convs1_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(70584768)))]; tensor source_resblocks_1_convs2_2_bias = const()[name = string("source_resblocks_1_convs2_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71043584)))]; tensor source_resblocks_1_convs2_2_weight = const()[name = string("source_resblocks_1_convs2_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71044160)))]; tensor resblocks_3_convs1_0_bias = const()[name = string("resblocks_3_convs1_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71502976)))]; tensor resblocks_3_convs1_0_weight = const()[name = string("resblocks_3_convs1_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71503552)))]; tensor resblocks_3_convs2_0_bias = const()[name = string("resblocks_3_convs2_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71700224)))]; tensor resblocks_3_convs2_0_weight = const()[name = string("resblocks_3_convs2_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71700800)))]; tensor resblocks_3_convs1_1_bias = const()[name = string("resblocks_3_convs1_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71897472)))]; tensor resblocks_3_convs1_1_weight = const()[name = string("resblocks_3_convs1_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(71898048)))]; tensor resblocks_3_convs2_1_bias = const()[name = string("resblocks_3_convs2_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72094720)))]; tensor resblocks_3_convs2_1_weight = const()[name = string("resblocks_3_convs2_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72095296)))]; tensor resblocks_3_convs1_2_bias = const()[name = string("resblocks_3_convs1_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72291968)))]; tensor resblocks_3_convs1_2_weight = const()[name = string("resblocks_3_convs1_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72292544)))]; tensor resblocks_3_convs2_2_bias = const()[name = string("resblocks_3_convs2_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72489216)))]; tensor resblocks_3_convs2_2_weight = const()[name = string("resblocks_3_convs2_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72489792)))]; tensor resblocks_4_convs1_0_bias = const()[name = string("resblocks_4_convs1_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72686464)))]; tensor resblocks_4_convs1_0_weight = const()[name = string("resblocks_4_convs1_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(72687040)))]; tensor resblocks_4_convs2_0_bias = const()[name = string("resblocks_4_convs2_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(73145856)))]; tensor resblocks_4_convs2_0_weight = const()[name = string("resblocks_4_convs2_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(73146432)))]; tensor resblocks_4_convs1_1_bias = const()[name = string("resblocks_4_convs1_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(73605248)))]; tensor resblocks_4_convs1_1_weight = const()[name = string("resblocks_4_convs1_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(73605824)))]; tensor resblocks_4_convs2_1_bias = const()[name = string("resblocks_4_convs2_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(74064640)))]; tensor resblocks_4_convs2_1_weight = const()[name = string("resblocks_4_convs2_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(74065216)))]; tensor resblocks_4_convs1_2_bias = const()[name = string("resblocks_4_convs1_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(74524032)))]; tensor resblocks_4_convs1_2_weight = const()[name = string("resblocks_4_convs1_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(74524608)))]; tensor resblocks_4_convs2_2_bias = const()[name = string("resblocks_4_convs2_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(74983424)))]; tensor resblocks_4_convs2_2_weight = const()[name = string("resblocks_4_convs2_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(74984000)))]; tensor resblocks_5_convs1_0_bias = const()[name = string("resblocks_5_convs1_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(75442816)))]; tensor resblocks_5_convs1_0_weight = const()[name = string("resblocks_5_convs1_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(75443392)))]; tensor resblocks_5_convs2_0_bias = const()[name = string("resblocks_5_convs2_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(76164352)))]; tensor resblocks_5_convs2_0_weight = const()[name = string("resblocks_5_convs2_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(76164928)))]; tensor resblocks_5_convs1_1_bias = const()[name = string("resblocks_5_convs1_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(76885888)))]; tensor resblocks_5_convs1_1_weight = const()[name = string("resblocks_5_convs1_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(76886464)))]; tensor resblocks_5_convs2_1_bias = const()[name = string("resblocks_5_convs2_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(77607424)))]; tensor resblocks_5_convs2_1_weight = const()[name = string("resblocks_5_convs2_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(77608000)))]; tensor resblocks_5_convs1_2_bias = const()[name = string("resblocks_5_convs1_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(78328960)))]; tensor resblocks_5_convs1_2_weight = const()[name = string("resblocks_5_convs1_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(78329536)))]; tensor resblocks_5_convs2_2_bias = const()[name = string("resblocks_5_convs2_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(79050496)))]; tensor resblocks_5_convs2_2_weight = const()[name = string("resblocks_5_convs2_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(79051072)))]; tensor ups_2_bias = const()[name = string("ups_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(79772032)))]; tensor ups_2_weight = const()[name = string("ups_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(79772352)))]; tensor source_downs_2_bias = const()[name = string("source_downs_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80001792)))]; tensor source_downs_2_weight = const()[name = string("source_downs_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80002112)))]; tensor source_resblocks_2_convs1_0_bias = const()[name = string("source_resblocks_2_convs1_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80006784)))]; tensor source_resblocks_2_convs1_0_weight = const()[name = string("source_resblocks_2_convs1_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80007104)))]; tensor source_resblocks_2_convs2_0_bias = const()[name = string("source_resblocks_2_convs2_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80187392)))]; tensor source_resblocks_2_convs2_0_weight = const()[name = string("source_resblocks_2_convs2_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80187712)))]; tensor source_resblocks_2_convs1_1_bias = const()[name = string("source_resblocks_2_convs1_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80368000)))]; tensor source_resblocks_2_convs1_1_weight = const()[name = string("source_resblocks_2_convs1_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80368320)))]; tensor source_resblocks_2_convs2_1_bias = const()[name = string("source_resblocks_2_convs2_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80548608)))]; tensor source_resblocks_2_convs2_1_weight = const()[name = string("source_resblocks_2_convs2_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80548928)))]; tensor source_resblocks_2_convs1_2_bias = const()[name = string("source_resblocks_2_convs1_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80729216)))]; tensor source_resblocks_2_convs1_2_weight = const()[name = string("source_resblocks_2_convs1_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80729536)))]; tensor source_resblocks_2_convs2_2_bias = const()[name = string("source_resblocks_2_convs2_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80909824)))]; tensor source_resblocks_2_convs2_2_weight = const()[name = string("source_resblocks_2_convs2_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(80910144)))]; tensor resblocks_6_convs1_0_bias = const()[name = string("resblocks_6_convs1_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81090432)))]; tensor resblocks_6_convs1_0_weight = const()[name = string("resblocks_6_convs1_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81090752)))]; tensor resblocks_6_convs2_0_bias = const()[name = string("resblocks_6_convs2_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81139968)))]; tensor resblocks_6_convs2_0_weight = const()[name = string("resblocks_6_convs2_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81140288)))]; tensor resblocks_6_convs1_1_bias = const()[name = string("resblocks_6_convs1_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81189504)))]; tensor resblocks_6_convs1_1_weight = const()[name = string("resblocks_6_convs1_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81189824)))]; tensor resblocks_6_convs2_1_bias = const()[name = string("resblocks_6_convs2_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81239040)))]; tensor resblocks_6_convs2_1_weight = const()[name = string("resblocks_6_convs2_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81239360)))]; tensor resblocks_6_convs1_2_bias = const()[name = string("resblocks_6_convs1_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81288576)))]; tensor resblocks_6_convs1_2_weight = const()[name = string("resblocks_6_convs1_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81288896)))]; tensor resblocks_6_convs2_2_bias = const()[name = string("resblocks_6_convs2_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81338112)))]; tensor resblocks_6_convs2_2_weight = const()[name = string("resblocks_6_convs2_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81338432)))]; tensor resblocks_7_convs1_0_bias = const()[name = string("resblocks_7_convs1_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81387648)))]; tensor resblocks_7_convs1_0_weight = const()[name = string("resblocks_7_convs1_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81387968)))]; tensor resblocks_7_convs2_0_bias = const()[name = string("resblocks_7_convs2_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81502720)))]; tensor resblocks_7_convs2_0_weight = const()[name = string("resblocks_7_convs2_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81503040)))]; tensor resblocks_7_convs1_1_bias = const()[name = string("resblocks_7_convs1_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81617792)))]; tensor resblocks_7_convs1_1_weight = const()[name = string("resblocks_7_convs1_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81618112)))]; tensor resblocks_7_convs2_1_bias = const()[name = string("resblocks_7_convs2_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81732864)))]; tensor resblocks_7_convs2_1_weight = const()[name = string("resblocks_7_convs2_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81733184)))]; tensor resblocks_7_convs1_2_bias = const()[name = string("resblocks_7_convs1_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81847936)))]; tensor resblocks_7_convs1_2_weight = const()[name = string("resblocks_7_convs1_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81848256)))]; tensor resblocks_7_convs2_2_bias = const()[name = string("resblocks_7_convs2_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81963008)))]; tensor resblocks_7_convs2_2_weight = const()[name = string("resblocks_7_convs2_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(81963328)))]; tensor resblocks_8_convs1_0_bias = const()[name = string("resblocks_8_convs1_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82078080)))]; tensor resblocks_8_convs1_0_weight = const()[name = string("resblocks_8_convs1_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82078400)))]; tensor resblocks_8_convs2_0_bias = const()[name = string("resblocks_8_convs2_0_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82258688)))]; tensor resblocks_8_convs2_0_weight = const()[name = string("resblocks_8_convs2_0_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82259008)))]; tensor resblocks_8_convs1_1_bias = const()[name = string("resblocks_8_convs1_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82439296)))]; tensor resblocks_8_convs1_1_weight = const()[name = string("resblocks_8_convs1_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82439616)))]; tensor resblocks_8_convs2_1_bias = const()[name = string("resblocks_8_convs2_1_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82619904)))]; tensor resblocks_8_convs2_1_weight = const()[name = string("resblocks_8_convs2_1_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82620224)))]; tensor resblocks_8_convs1_2_bias = const()[name = string("resblocks_8_convs1_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82800512)))]; tensor resblocks_8_convs1_2_weight = const()[name = string("resblocks_8_convs1_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82800832)))]; tensor resblocks_8_convs2_2_bias = const()[name = string("resblocks_8_convs2_2_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82981120)))]; tensor resblocks_8_convs2_2_weight = const()[name = string("resblocks_8_convs2_2_weight"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(82981440)))]; tensor conv_post_bias = const()[name = string("conv_post_bias"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83161728)))]; tensor conv_post_weight = const()[name = string("conv_post_weight"), val = tensor(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 input_1_pad_0 = const()[name = string("input_1_pad_0"), val = tensor([1, 1])]; tensor input_1_strides_0 = const()[name = string("input_1_strides_0"), val = tensor([1])]; tensor input_1_dilations_0 = const()[name = string("input_1_dilations_0"), val = tensor([1])]; int32 input_1_groups_0 = const()[name = string("input_1_groups_0"), val = int32(1)]; tensor 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 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 input_5_pad_0 = const()[name = string("input_5_pad_0"), val = tensor([1, 1])]; tensor input_5_strides_0 = const()[name = string("input_5_strides_0"), val = tensor([1])]; tensor input_5_dilations_0 = const()[name = string("input_5_dilations_0"), val = tensor([1])]; int32 input_5_groups_0 = const()[name = string("input_5_groups_0"), val = int32(1)]; tensor 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 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 input_9_pad_0 = const()[name = string("input_9_pad_0"), val = tensor([1, 1])]; tensor input_9_strides_0 = const()[name = string("input_9_strides_0"), val = tensor([1])]; tensor input_9_dilations_0 = const()[name = string("input_9_dilations_0"), val = tensor([1])]; int32 input_9_groups_0 = const()[name = string("input_9_groups_0"), val = int32(1)]; tensor 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 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 input_13_pad_0 = const()[name = string("input_13_pad_0"), val = tensor([1, 1])]; tensor input_13_strides_0 = const()[name = string("input_13_strides_0"), val = tensor([1])]; tensor input_13_dilations_0 = const()[name = string("input_13_dilations_0"), val = tensor([1])]; int32 input_13_groups_0 = const()[name = string("input_13_groups_0"), val = int32(1)]; tensor 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 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 input_17_pad_0 = const()[name = string("input_17_pad_0"), val = tensor([1, 1])]; tensor input_17_strides_0 = const()[name = string("input_17_strides_0"), val = tensor([1])]; tensor input_17_dilations_0 = const()[name = string("input_17_dilations_0"), val = tensor([1])]; int32 input_17_groups_0 = const()[name = string("input_17_groups_0"), val = int32(1)]; tensor 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 x_1 = elu(alpha = var_49, x = input_17)[name = string("x_1")]; tensor input_19_perm_0 = const()[name = string("input_19_perm_0"), val = tensor([0, 2, 1])]; tensor input_19 = transpose(perm = input_19_perm_0, x = x_1)[name = string("transpose_2")]; tensor var_100 = linear(bias = f0_predictor_classifier_bias, weight = f0_predictor_classifier_weight, x = input_19)[name = string("linear_0")]; tensor var_101_axes_0 = const()[name = string("op_101_axes_0"), val = tensor([-1])]; tensor var_101 = squeeze(axes = var_101_axes_0, x = var_100)[name = string("op_101")]; tensor f0 = abs(x = var_101)[name = string("f0")]; tensor input_21_axes_0 = const()[name = string("input_21_axes_0"), val = tensor([1])]; tensor input_21 = expand_dims(axes = input_21_axes_0, x = f0)[name = string("input_21")]; tensor expand_dims_0_axes_0 = const()[name = string("expand_dims_0_axes_0"), val = tensor([3])]; tensor 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 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 var_113_axes_0 = const()[name = string("op_113_axes_0"), val = tensor([3])]; tensor var_113 = squeeze(axes = var_113_axes_0, x = upsample_nearest_neighbor_0)[name = string("op_113")]; tensor s_perm_0 = const()[name = string("s_perm_0"), val = tensor([0, 2, 1])]; tensor f0_up_axes_0 = const()[name = string("f0_up_axes_0"), val = tensor([-1])]; tensor s = transpose(perm = s_perm_0, x = var_113)[name = string("transpose_1")]; tensor f0_up = squeeze(axes = f0_up_axes_0, x = s)[name = string("f0_up")]; tensor var_127_axes_0 = const()[name = string("op_127_axes_0"), val = tensor([-1])]; tensor var_127 = expand_dims(axes = var_127_axes_0, x = f0_up)[name = string("op_127")]; tensor var_131_promoted = const()[name = string("op_131_promoted"), val = tensor([[[0x1p+0, 0x1p+1, 0x1.8p+1, 0x1p+2, 0x1.4p+2, 0x1.8p+2, 0x1.cp+2, 0x1p+3, 0x1.2p+3]]])]; tensor 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 _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 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 phase = mul(x = var_137, y = var_138)[name = string("phase")]; tensor var_140 = sin(x = phase)[name = string("op_140")]; fp32 var_141 = const()[name = string("op_141"), val = fp32(0x1.99999ap-4)]; tensor 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 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 uv_axes_0 = const()[name = string("uv_axes_0"), val = tensor([-1])]; tensor var_149 = cast(dtype = var_149_dtype_0, x = var_144)[name = string("cast_11")]; tensor uv = expand_dims(axes = uv_axes_0, x = var_149)[name = string("uv")]; tensor input_23 = mul(x = sine_waves, y = uv)[name = string("input_23")]; tensor var_155 = linear(bias = l_linear_bias, weight = l_linear_weight, x = input_23)[name = string("linear_1")]; tensor var_156 = tanh(x = var_155)[name = string("op_156")]; tensor source_perm_0 = const()[name = string("source_perm_0"), val = tensor([0, 2, 1])]; tensor input_25_axes_0 = const()[name = string("input_25_axes_0"), val = tensor([1])]; tensor source = transpose(perm = source_perm_0, x = var_156)[name = string("transpose_0")]; tensor input_25 = squeeze(axes = input_25_axes_0, x = source)[name = string("input_25")]; tensor concat_0x = const()[name = string("concat_0x"), val = tensor([1, 1, -1])]; tensor 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 input_29_pad_0 = const()[name = string("input_29_pad_0"), val = tensor([0, 0, 0, 0, 8, 8])]; string input_29_mode_0 = const()[name = string("input_29_mode_0"), val = string("reflect")]; tensor 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 concat_1x = const()[name = string("concat_1x"), val = tensor([1, -1])]; tensor input_31 = reshape(shape = concat_1x, x = input_29)[name = string("input_31")]; tensor expand_dims_1 = const()[name = string("expand_dims_1"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83194240)))]; tensor expand_dims_2 = const()[name = string("expand_dims_2"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83194880)))]; tensor expand_dims_3 = const()[name = string("expand_dims_3"), val = tensor([4])]; tensor expand_dims_4_axes_0 = const()[name = string("expand_dims_4_axes_0"), val = tensor([1])]; tensor 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 conv_0_pad_0 = const()[name = string("conv_0_pad_0"), val = tensor([0, 0])]; tensor conv_0_dilations_0 = const()[name = string("conv_0_dilations_0"), val = tensor([1])]; int32 conv_0_groups_0 = const()[name = string("conv_0_groups_0"), val = int32(1)]; tensor 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 conv_1_pad_0 = const()[name = string("conv_1_pad_0"), val = tensor([0, 0])]; tensor conv_1_dilations_0 = const()[name = string("conv_1_dilations_0"), val = tensor([1])]; int32 conv_1_groups_0 = const()[name = string("conv_1_groups_0"), val = int32(1)]; tensor 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 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 input_33_pad_0 = const()[name = string("input_33_pad_0"), val = tensor([3, 3])]; tensor input_33_strides_0 = const()[name = string("input_33_strides_0"), val = tensor([1])]; tensor input_33_dilations_0 = const()[name = string("input_33_dilations_0"), val = tensor([1])]; int32 input_33_groups_0 = const()[name = string("input_33_groups_0"), val = int32(1)]; tensor 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 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 x_15_pad_0 = const()[name = string("x_15_pad_0"), val = tensor([4, 4])]; tensor x_15_strides_0 = const()[name = string("x_15_strides_0"), val = tensor([8])]; tensor x_15_dilations_0 = const()[name = string("x_15_dilations_0"), val = tensor([1])]; int32 x_15_groups_0 = const()[name = string("x_15_groups_0"), val = int32(1)]; tensor 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 x_3_pad_0 = const()[name = string("x_3_pad_0"), val = tensor([7, 7])]; tensor x_3_strides_0 = const()[name = string("x_3_strides_0"), val = tensor([15])]; tensor x_3_dilations_0 = const()[name = string("x_3_dilations_0"), val = tensor([1])]; int32 x_3_groups_0 = const()[name = string("x_3_groups_0"), val = int32(1)]; tensor 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 alpha_1 = const()[name = string("alpha_1"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83195520)))]; tensor var_281 = const()[name = string("op_281"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83196608)))]; tensor var_284 = mul(x = x_3, y = alpha_1)[name = string("op_284")]; tensor 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 var_286 = pow(x = var_285, y = var_251_promoted)[name = string("op_286")]; tensor var_287 = mul(x = var_281, y = var_286)[name = string("op_287")]; tensor 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 x_5_pad_0 = const()[name = string("x_5_pad_0"), val = tensor([3, 3])]; tensor x_5_strides_0 = const()[name = string("x_5_strides_0"), val = tensor([1])]; tensor x_5_dilations_0 = const()[name = string("x_5_dilations_0"), val = tensor([1])]; int32 x_5_groups_0 = const()[name = string("x_5_groups_0"), val = int32(1)]; tensor 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 alpha_3 = const()[name = string("alpha_3"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83197696)))]; tensor var_301 = const()[name = string("op_301"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83198784)))]; tensor var_304 = mul(x = x_5, y = alpha_3)[name = string("op_304")]; tensor 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 var_306 = pow(x = var_305, y = var_251_promoted_1)[name = string("op_306")]; tensor var_307 = mul(x = var_301, y = var_306)[name = string("op_307")]; tensor 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 xt_1_pad_0 = const()[name = string("xt_1_pad_0"), val = tensor([3, 3])]; tensor xt_1_strides_0 = const()[name = string("xt_1_strides_0"), val = tensor([1])]; tensor xt_1_dilations_0 = const()[name = string("xt_1_dilations_0"), val = tensor([1])]; int32 xt_1_groups_0 = const()[name = string("xt_1_groups_0"), val = int32(1)]; tensor 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 x_7 = add(x = xt_1, y = x_3)[name = string("x_7")]; tensor alpha_5 = const()[name = string("alpha_5"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83199872)))]; tensor var_322 = const()[name = string("op_322"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83200960)))]; tensor var_325 = mul(x = x_7, y = alpha_5)[name = string("op_325")]; tensor 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 var_327 = pow(x = var_326, y = var_251_promoted_2)[name = string("op_327")]; tensor var_328 = mul(x = var_322, y = var_327)[name = string("op_328")]; tensor 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 x_9_pad_0 = const()[name = string("x_9_pad_0"), val = tensor([9, 9])]; tensor x_9_dilations_0 = const()[name = string("x_9_dilations_0"), val = tensor([3])]; tensor x_9_strides_0 = const()[name = string("x_9_strides_0"), val = tensor([1])]; int32 x_9_groups_0 = const()[name = string("x_9_groups_0"), val = int32(1)]; tensor 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 alpha_7 = const()[name = string("alpha_7"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83202048)))]; tensor var_342 = const()[name = string("op_342"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83203136)))]; tensor var_345 = mul(x = x_9, y = alpha_7)[name = string("op_345")]; tensor 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 var_347 = pow(x = var_346, y = var_251_promoted_3)[name = string("op_347")]; tensor var_348 = mul(x = var_342, y = var_347)[name = string("op_348")]; tensor 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 xt_3_pad_0 = const()[name = string("xt_3_pad_0"), val = tensor([3, 3])]; tensor xt_3_strides_0 = const()[name = string("xt_3_strides_0"), val = tensor([1])]; tensor xt_3_dilations_0 = const()[name = string("xt_3_dilations_0"), val = tensor([1])]; int32 xt_3_groups_0 = const()[name = string("xt_3_groups_0"), val = int32(1)]; tensor 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 x_11 = add(x = xt_3, y = x_7)[name = string("x_11")]; tensor alpha_9 = const()[name = string("alpha_9"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83204224)))]; tensor var_363 = const()[name = string("op_363"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83205312)))]; tensor var_366 = mul(x = x_11, y = alpha_9)[name = string("op_366")]; tensor 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 var_368 = pow(x = var_367, y = var_251_promoted_4)[name = string("op_368")]; tensor var_369 = mul(x = var_363, y = var_368)[name = string("op_369")]; tensor 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 x_13_pad_0 = const()[name = string("x_13_pad_0"), val = tensor([15, 15])]; tensor x_13_dilations_0 = const()[name = string("x_13_dilations_0"), val = tensor([5])]; tensor x_13_strides_0 = const()[name = string("x_13_strides_0"), val = tensor([1])]; int32 x_13_groups_0 = const()[name = string("x_13_groups_0"), val = int32(1)]; tensor 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 alpha_11 = const()[name = string("alpha_11"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83206400)))]; tensor var_383 = const()[name = string("op_383"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83207488)))]; tensor var_386 = mul(x = x_13, y = alpha_11)[name = string("op_386")]; tensor 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 var_388 = pow(x = var_387, y = var_251_promoted_5)[name = string("op_388")]; tensor var_389 = mul(x = var_383, y = var_388)[name = string("op_389")]; tensor 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 xt_5_pad_0 = const()[name = string("xt_5_pad_0"), val = tensor([3, 3])]; tensor xt_5_strides_0 = const()[name = string("xt_5_strides_0"), val = tensor([1])]; tensor xt_5_dilations_0 = const()[name = string("xt_5_dilations_0"), val = tensor([1])]; int32 xt_5_groups_0 = const()[name = string("xt_5_groups_0"), val = int32(1)]; tensor 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 si_1 = add(x = xt_5, y = x_11)[name = string("si_1")]; tensor 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 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 var_416_begin_0 = const()[name = string("op_416_begin_0"), val = tensor([0, 0, 0])]; tensor var_416_end_mask_0 = const()[name = string("op_416_end_mask_0"), val = tensor([true, true, false])]; tensor 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 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 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 var_434_begin_0 = const()[name = string("op_434_begin_0"), val = tensor([0, 0, 0])]; tensor var_434_end_mask_0 = const()[name = string("op_434_end_mask_0"), val = tensor([true, true, false])]; tensor 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 x_17 = add(x = var_416, y = var_434)[name = string("x_17")]; tensor alpha_13 = const()[name = string("alpha_13"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83208576)))]; tensor var_474 = const()[name = string("op_474"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83209664)))]; tensor var_477 = mul(x = x_17, y = alpha_13)[name = string("op_477")]; tensor 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 var_479 = pow(x = var_478, y = var_444_promoted)[name = string("op_479")]; tensor var_480 = mul(x = var_474, y = var_479)[name = string("op_480")]; tensor 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 x_19_pad_0 = const()[name = string("x_19_pad_0"), val = tensor([1, 1])]; tensor x_19_strides_0 = const()[name = string("x_19_strides_0"), val = tensor([1])]; tensor x_19_dilations_0 = const()[name = string("x_19_dilations_0"), val = tensor([1])]; int32 x_19_groups_0 = const()[name = string("x_19_groups_0"), val = int32(1)]; tensor 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 alpha_15 = const()[name = string("alpha_15"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83210752)))]; tensor var_494 = const()[name = string("op_494"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83211840)))]; tensor var_497 = mul(x = x_19, y = alpha_15)[name = string("op_497")]; tensor 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 var_499 = pow(x = var_498, y = var_444_promoted_1)[name = string("op_499")]; tensor var_500 = mul(x = var_494, y = var_499)[name = string("op_500")]; tensor 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 xt_7_pad_0 = const()[name = string("xt_7_pad_0"), val = tensor([1, 1])]; tensor xt_7_strides_0 = const()[name = string("xt_7_strides_0"), val = tensor([1])]; tensor xt_7_dilations_0 = const()[name = string("xt_7_dilations_0"), val = tensor([1])]; int32 xt_7_groups_0 = const()[name = string("xt_7_groups_0"), val = int32(1)]; tensor 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 x_21 = add(x = xt_7, y = x_17)[name = string("x_21")]; tensor alpha_17 = const()[name = string("alpha_17"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83212928)))]; tensor var_515 = const()[name = string("op_515"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83214016)))]; tensor var_518 = mul(x = x_21, y = alpha_17)[name = string("op_518")]; tensor 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 var_520 = pow(x = var_519, y = var_444_promoted_2)[name = string("op_520")]; tensor var_521 = mul(x = var_515, y = var_520)[name = string("op_521")]; tensor 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 x_23_pad_0 = const()[name = string("x_23_pad_0"), val = tensor([3, 3])]; tensor x_23_dilations_0 = const()[name = string("x_23_dilations_0"), val = tensor([3])]; tensor x_23_strides_0 = const()[name = string("x_23_strides_0"), val = tensor([1])]; int32 x_23_groups_0 = const()[name = string("x_23_groups_0"), val = int32(1)]; tensor 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 alpha_19 = const()[name = string("alpha_19"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83215104)))]; tensor var_535 = const()[name = string("op_535"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83216192)))]; tensor var_538 = mul(x = x_23, y = alpha_19)[name = string("op_538")]; tensor 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 var_540 = pow(x = var_539, y = var_444_promoted_3)[name = string("op_540")]; tensor var_541 = mul(x = var_535, y = var_540)[name = string("op_541")]; tensor 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 xt_9_pad_0 = const()[name = string("xt_9_pad_0"), val = tensor([1, 1])]; tensor xt_9_strides_0 = const()[name = string("xt_9_strides_0"), val = tensor([1])]; tensor xt_9_dilations_0 = const()[name = string("xt_9_dilations_0"), val = tensor([1])]; int32 xt_9_groups_0 = const()[name = string("xt_9_groups_0"), val = int32(1)]; tensor 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 x_25 = add(x = xt_9, y = x_21)[name = string("x_25")]; tensor alpha_21 = const()[name = string("alpha_21"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83217280)))]; tensor var_556 = const()[name = string("op_556"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83218368)))]; tensor var_559 = mul(x = x_25, y = alpha_21)[name = string("op_559")]; tensor 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 var_561 = pow(x = var_560, y = var_444_promoted_4)[name = string("op_561")]; tensor var_562 = mul(x = var_556, y = var_561)[name = string("op_562")]; tensor 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 x_27_pad_0 = const()[name = string("x_27_pad_0"), val = tensor([5, 5])]; tensor x_27_dilations_0 = const()[name = string("x_27_dilations_0"), val = tensor([5])]; tensor x_27_strides_0 = const()[name = string("x_27_strides_0"), val = tensor([1])]; int32 x_27_groups_0 = const()[name = string("x_27_groups_0"), val = int32(1)]; tensor 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 alpha_23 = const()[name = string("alpha_23"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83219456)))]; tensor var_576 = const()[name = string("op_576"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83220544)))]; tensor var_579 = mul(x = x_27, y = alpha_23)[name = string("op_579")]; tensor 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 var_581 = pow(x = var_580, y = var_444_promoted_5)[name = string("op_581")]; tensor var_582 = mul(x = var_576, y = var_581)[name = string("op_582")]; tensor 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 xt_11_pad_0 = const()[name = string("xt_11_pad_0"), val = tensor([1, 1])]; tensor xt_11_strides_0 = const()[name = string("xt_11_strides_0"), val = tensor([1])]; tensor xt_11_dilations_0 = const()[name = string("xt_11_dilations_0"), val = tensor([1])]; int32 xt_11_groups_0 = const()[name = string("xt_11_groups_0"), val = int32(1)]; tensor 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 xs_1 = add(x = xt_11, y = x_25)[name = string("xs_1")]; tensor alpha_25 = const()[name = string("alpha_25"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83221632)))]; tensor var_631 = const()[name = string("op_631"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83222720)))]; tensor var_634 = mul(x = x_17, y = alpha_25)[name = string("op_634")]; tensor 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 var_636 = pow(x = var_635, y = var_601_promoted)[name = string("op_636")]; tensor var_637 = mul(x = var_631, y = var_636)[name = string("op_637")]; tensor 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 x_29_pad_0 = const()[name = string("x_29_pad_0"), val = tensor([3, 3])]; tensor x_29_strides_0 = const()[name = string("x_29_strides_0"), val = tensor([1])]; tensor x_29_dilations_0 = const()[name = string("x_29_dilations_0"), val = tensor([1])]; int32 x_29_groups_0 = const()[name = string("x_29_groups_0"), val = int32(1)]; tensor 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 alpha_27 = const()[name = string("alpha_27"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83223808)))]; tensor var_651 = const()[name = string("op_651"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83224896)))]; tensor var_654 = mul(x = x_29, y = alpha_27)[name = string("op_654")]; tensor 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 var_656 = pow(x = var_655, y = var_601_promoted_1)[name = string("op_656")]; tensor var_657 = mul(x = var_651, y = var_656)[name = string("op_657")]; tensor 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 xt_13_pad_0 = const()[name = string("xt_13_pad_0"), val = tensor([3, 3])]; tensor xt_13_strides_0 = const()[name = string("xt_13_strides_0"), val = tensor([1])]; tensor xt_13_dilations_0 = const()[name = string("xt_13_dilations_0"), val = tensor([1])]; int32 xt_13_groups_0 = const()[name = string("xt_13_groups_0"), val = int32(1)]; tensor 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 x_31 = add(x = xt_13, y = x_17)[name = string("x_31")]; tensor alpha_29 = const()[name = string("alpha_29"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83225984)))]; tensor var_672 = const()[name = string("op_672"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83227072)))]; tensor var_675 = mul(x = x_31, y = alpha_29)[name = string("op_675")]; tensor 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 var_677 = pow(x = var_676, y = var_601_promoted_2)[name = string("op_677")]; tensor var_678 = mul(x = var_672, y = var_677)[name = string("op_678")]; tensor 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 x_33_pad_0 = const()[name = string("x_33_pad_0"), val = tensor([9, 9])]; tensor x_33_dilations_0 = const()[name = string("x_33_dilations_0"), val = tensor([3])]; tensor x_33_strides_0 = const()[name = string("x_33_strides_0"), val = tensor([1])]; int32 x_33_groups_0 = const()[name = string("x_33_groups_0"), val = int32(1)]; tensor 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 alpha_31 = const()[name = string("alpha_31"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83228160)))]; tensor var_692 = const()[name = string("op_692"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83229248)))]; tensor var_695 = mul(x = x_33, y = alpha_31)[name = string("op_695")]; tensor 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 var_697 = pow(x = var_696, y = var_601_promoted_3)[name = string("op_697")]; tensor var_698 = mul(x = var_692, y = var_697)[name = string("op_698")]; tensor 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 xt_15_pad_0 = const()[name = string("xt_15_pad_0"), val = tensor([3, 3])]; tensor xt_15_strides_0 = const()[name = string("xt_15_strides_0"), val = tensor([1])]; tensor xt_15_dilations_0 = const()[name = string("xt_15_dilations_0"), val = tensor([1])]; int32 xt_15_groups_0 = const()[name = string("xt_15_groups_0"), val = int32(1)]; tensor 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 x_35 = add(x = xt_15, y = x_31)[name = string("x_35")]; tensor alpha_33 = const()[name = string("alpha_33"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83230336)))]; tensor var_713 = const()[name = string("op_713"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83231424)))]; tensor var_716 = mul(x = x_35, y = alpha_33)[name = string("op_716")]; tensor 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 var_718 = pow(x = var_717, y = var_601_promoted_4)[name = string("op_718")]; tensor var_719 = mul(x = var_713, y = var_718)[name = string("op_719")]; tensor 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 x_37_pad_0 = const()[name = string("x_37_pad_0"), val = tensor([15, 15])]; tensor x_37_dilations_0 = const()[name = string("x_37_dilations_0"), val = tensor([5])]; tensor x_37_strides_0 = const()[name = string("x_37_strides_0"), val = tensor([1])]; int32 x_37_groups_0 = const()[name = string("x_37_groups_0"), val = int32(1)]; tensor 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 alpha_35 = const()[name = string("alpha_35"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83232512)))]; tensor var_733 = const()[name = string("op_733"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83233600)))]; tensor var_736 = mul(x = x_37, y = alpha_35)[name = string("op_736")]; tensor 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 var_738 = pow(x = var_737, y = var_601_promoted_5)[name = string("op_738")]; tensor var_739 = mul(x = var_733, y = var_738)[name = string("op_739")]; tensor 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 xt_17_pad_0 = const()[name = string("xt_17_pad_0"), val = tensor([3, 3])]; tensor xt_17_strides_0 = const()[name = string("xt_17_strides_0"), val = tensor([1])]; tensor xt_17_dilations_0 = const()[name = string("xt_17_dilations_0"), val = tensor([1])]; int32 xt_17_groups_0 = const()[name = string("xt_17_groups_0"), val = int32(1)]; tensor 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 var_748 = add(x = xt_17, y = x_35)[name = string("op_748")]; tensor xs_3 = add(x = xs_1, y = var_748)[name = string("xs_3")]; tensor alpha_37 = const()[name = string("alpha_37"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83234688)))]; tensor var_790 = const()[name = string("op_790"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83235776)))]; tensor var_793 = mul(x = x_17, y = alpha_37)[name = string("op_793")]; tensor 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 var_795 = pow(x = var_794, y = var_760_promoted)[name = string("op_795")]; tensor var_796 = mul(x = var_790, y = var_795)[name = string("op_796")]; tensor 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 x_39_pad_0 = const()[name = string("x_39_pad_0"), val = tensor([5, 5])]; tensor x_39_strides_0 = const()[name = string("x_39_strides_0"), val = tensor([1])]; tensor x_39_dilations_0 = const()[name = string("x_39_dilations_0"), val = tensor([1])]; int32 x_39_groups_0 = const()[name = string("x_39_groups_0"), val = int32(1)]; tensor 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 alpha_39 = const()[name = string("alpha_39"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83236864)))]; tensor var_810 = const()[name = string("op_810"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83237952)))]; tensor var_813 = mul(x = x_39, y = alpha_39)[name = string("op_813")]; tensor 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 var_815 = pow(x = var_814, y = var_760_promoted_1)[name = string("op_815")]; tensor var_816 = mul(x = var_810, y = var_815)[name = string("op_816")]; tensor 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 xt_19_pad_0 = const()[name = string("xt_19_pad_0"), val = tensor([5, 5])]; tensor xt_19_strides_0 = const()[name = string("xt_19_strides_0"), val = tensor([1])]; tensor xt_19_dilations_0 = const()[name = string("xt_19_dilations_0"), val = tensor([1])]; int32 xt_19_groups_0 = const()[name = string("xt_19_groups_0"), val = int32(1)]; tensor 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 x_41 = add(x = xt_19, y = x_17)[name = string("x_41")]; tensor alpha_41 = const()[name = string("alpha_41"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83239040)))]; tensor var_831 = const()[name = string("op_831"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83240128)))]; tensor var_834 = mul(x = x_41, y = alpha_41)[name = string("op_834")]; tensor 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 var_836 = pow(x = var_835, y = var_760_promoted_2)[name = string("op_836")]; tensor var_837 = mul(x = var_831, y = var_836)[name = string("op_837")]; tensor 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 x_43_pad_0 = const()[name = string("x_43_pad_0"), val = tensor([15, 15])]; tensor x_43_dilations_0 = const()[name = string("x_43_dilations_0"), val = tensor([3])]; tensor x_43_strides_0 = const()[name = string("x_43_strides_0"), val = tensor([1])]; int32 x_43_groups_0 = const()[name = string("x_43_groups_0"), val = int32(1)]; tensor 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 alpha_43 = const()[name = string("alpha_43"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83241216)))]; tensor var_851 = const()[name = string("op_851"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83242304)))]; tensor var_854 = mul(x = x_43, y = alpha_43)[name = string("op_854")]; tensor 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 var_856 = pow(x = var_855, y = var_760_promoted_3)[name = string("op_856")]; tensor var_857 = mul(x = var_851, y = var_856)[name = string("op_857")]; tensor 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 xt_21_pad_0 = const()[name = string("xt_21_pad_0"), val = tensor([5, 5])]; tensor xt_21_strides_0 = const()[name = string("xt_21_strides_0"), val = tensor([1])]; tensor xt_21_dilations_0 = const()[name = string("xt_21_dilations_0"), val = tensor([1])]; int32 xt_21_groups_0 = const()[name = string("xt_21_groups_0"), val = int32(1)]; tensor 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 x_45 = add(x = xt_21, y = x_41)[name = string("x_45")]; tensor alpha_45 = const()[name = string("alpha_45"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83243392)))]; tensor var_872 = const()[name = string("op_872"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83244480)))]; tensor var_875 = mul(x = x_45, y = alpha_45)[name = string("op_875")]; tensor 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 var_877 = pow(x = var_876, y = var_760_promoted_4)[name = string("op_877")]; tensor var_878 = mul(x = var_872, y = var_877)[name = string("op_878")]; tensor 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 x_47_pad_0 = const()[name = string("x_47_pad_0"), val = tensor([25, 25])]; tensor x_47_dilations_0 = const()[name = string("x_47_dilations_0"), val = tensor([5])]; tensor x_47_strides_0 = const()[name = string("x_47_strides_0"), val = tensor([1])]; int32 x_47_groups_0 = const()[name = string("x_47_groups_0"), val = int32(1)]; tensor 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 alpha_47 = const()[name = string("alpha_47"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83245568)))]; tensor var_892 = const()[name = string("op_892"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83246656)))]; tensor var_895 = mul(x = x_47, y = alpha_47)[name = string("op_895")]; tensor 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 var_897 = pow(x = var_896, y = var_760_promoted_5)[name = string("op_897")]; tensor var_898 = mul(x = var_892, y = var_897)[name = string("op_898")]; tensor 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 xt_23_pad_0 = const()[name = string("xt_23_pad_0"), val = tensor([5, 5])]; tensor xt_23_strides_0 = const()[name = string("xt_23_strides_0"), val = tensor([1])]; tensor xt_23_dilations_0 = const()[name = string("xt_23_dilations_0"), val = tensor([1])]; int32 xt_23_groups_0 = const()[name = string("xt_23_groups_0"), val = int32(1)]; tensor 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 var_907 = add(x = xt_23, y = x_45)[name = string("op_907")]; tensor 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 _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 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 x_61_pad_0 = const()[name = string("x_61_pad_0"), val = tensor([3, 3])]; tensor x_61_strides_0 = const()[name = string("x_61_strides_0"), val = tensor([5])]; tensor x_61_dilations_0 = const()[name = string("x_61_dilations_0"), val = tensor([1])]; int32 x_61_groups_0 = const()[name = string("x_61_groups_0"), val = int32(1)]; tensor 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 x_49_pad_0 = const()[name = string("x_49_pad_0"), val = tensor([1, 1])]; tensor x_49_strides_0 = const()[name = string("x_49_strides_0"), val = tensor([3])]; tensor x_49_dilations_0 = const()[name = string("x_49_dilations_0"), val = tensor([1])]; int32 x_49_groups_0 = const()[name = string("x_49_groups_0"), val = int32(1)]; tensor 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 alpha_49 = const()[name = string("alpha_49"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83247744)))]; tensor var_978 = const()[name = string("op_978"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83248320)))]; tensor var_981 = mul(x = x_49, y = alpha_49)[name = string("op_981")]; tensor 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 var_983 = pow(x = var_982, y = var_948_promoted)[name = string("op_983")]; tensor var_984 = mul(x = var_978, y = var_983)[name = string("op_984")]; tensor 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 x_51_pad_0 = const()[name = string("x_51_pad_0"), val = tensor([3, 3])]; tensor x_51_strides_0 = const()[name = string("x_51_strides_0"), val = tensor([1])]; tensor x_51_dilations_0 = const()[name = string("x_51_dilations_0"), val = tensor([1])]; int32 x_51_groups_0 = const()[name = string("x_51_groups_0"), val = int32(1)]; tensor 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 alpha_51 = const()[name = string("alpha_51"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83248896)))]; tensor var_998 = const()[name = string("op_998"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83249472)))]; tensor var_1001 = mul(x = x_51, y = alpha_51)[name = string("op_1001")]; tensor 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 var_1003 = pow(x = var_1002, y = var_948_promoted_1)[name = string("op_1003")]; tensor var_1004 = mul(x = var_998, y = var_1003)[name = string("op_1004")]; tensor 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 xt_25_pad_0 = const()[name = string("xt_25_pad_0"), val = tensor([3, 3])]; tensor xt_25_strides_0 = const()[name = string("xt_25_strides_0"), val = tensor([1])]; tensor xt_25_dilations_0 = const()[name = string("xt_25_dilations_0"), val = tensor([1])]; int32 xt_25_groups_0 = const()[name = string("xt_25_groups_0"), val = int32(1)]; tensor 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 x_53 = add(x = xt_25, y = x_49)[name = string("x_53")]; tensor alpha_53 = const()[name = string("alpha_53"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83250048)))]; tensor var_1019 = const()[name = string("op_1019"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83250624)))]; tensor var_1022 = mul(x = x_53, y = alpha_53)[name = string("op_1022")]; tensor 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 var_1024 = pow(x = var_1023, y = var_948_promoted_2)[name = string("op_1024")]; tensor var_1025 = mul(x = var_1019, y = var_1024)[name = string("op_1025")]; tensor 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 x_55_pad_0 = const()[name = string("x_55_pad_0"), val = tensor([9, 9])]; tensor x_55_dilations_0 = const()[name = string("x_55_dilations_0"), val = tensor([3])]; tensor x_55_strides_0 = const()[name = string("x_55_strides_0"), val = tensor([1])]; int32 x_55_groups_0 = const()[name = string("x_55_groups_0"), val = int32(1)]; tensor 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 alpha_55 = const()[name = string("alpha_55"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83251200)))]; tensor var_1039 = const()[name = string("op_1039"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83251776)))]; tensor var_1042 = mul(x = x_55, y = alpha_55)[name = string("op_1042")]; tensor 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 var_1044 = pow(x = var_1043, y = var_948_promoted_3)[name = string("op_1044")]; tensor var_1045 = mul(x = var_1039, y = var_1044)[name = string("op_1045")]; tensor 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 xt_27_pad_0 = const()[name = string("xt_27_pad_0"), val = tensor([3, 3])]; tensor xt_27_strides_0 = const()[name = string("xt_27_strides_0"), val = tensor([1])]; tensor xt_27_dilations_0 = const()[name = string("xt_27_dilations_0"), val = tensor([1])]; int32 xt_27_groups_0 = const()[name = string("xt_27_groups_0"), val = int32(1)]; tensor 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 x_57 = add(x = xt_27, y = x_53)[name = string("x_57")]; tensor alpha_57 = const()[name = string("alpha_57"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83252352)))]; tensor var_1060 = const()[name = string("op_1060"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83252928)))]; tensor var_1063 = mul(x = x_57, y = alpha_57)[name = string("op_1063")]; tensor 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 var_1065 = pow(x = var_1064, y = var_948_promoted_4)[name = string("op_1065")]; tensor var_1066 = mul(x = var_1060, y = var_1065)[name = string("op_1066")]; tensor 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 x_59_pad_0 = const()[name = string("x_59_pad_0"), val = tensor([15, 15])]; tensor x_59_dilations_0 = const()[name = string("x_59_dilations_0"), val = tensor([5])]; tensor x_59_strides_0 = const()[name = string("x_59_strides_0"), val = tensor([1])]; int32 x_59_groups_0 = const()[name = string("x_59_groups_0"), val = int32(1)]; tensor 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 alpha_59 = const()[name = string("alpha_59"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83253504)))]; tensor var_1080 = const()[name = string("op_1080"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83254080)))]; tensor var_1083 = mul(x = x_59, y = alpha_59)[name = string("op_1083")]; tensor 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 var_1085 = pow(x = var_1084, y = var_948_promoted_5)[name = string("op_1085")]; tensor var_1086 = mul(x = var_1080, y = var_1085)[name = string("op_1086")]; tensor 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 xt_29_pad_0 = const()[name = string("xt_29_pad_0"), val = tensor([3, 3])]; tensor xt_29_strides_0 = const()[name = string("xt_29_strides_0"), val = tensor([1])]; tensor xt_29_dilations_0 = const()[name = string("xt_29_dilations_0"), val = tensor([1])]; int32 xt_29_groups_0 = const()[name = string("xt_29_groups_0"), val = int32(1)]; tensor 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 si_3 = add(x = xt_29, y = x_57)[name = string("si_3")]; tensor 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 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 var_1113_begin_0 = const()[name = string("op_1113_begin_0"), val = tensor([0, 0, 0])]; tensor var_1113_end_mask_0 = const()[name = string("op_1113_end_mask_0"), val = tensor([true, true, false])]; tensor 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 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 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 var_1131_begin_0 = const()[name = string("op_1131_begin_0"), val = tensor([0, 0, 0])]; tensor var_1131_end_mask_0 = const()[name = string("op_1131_end_mask_0"), val = tensor([true, true, false])]; tensor 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 x_63 = add(x = var_1113, y = var_1131)[name = string("x_63")]; tensor alpha_61 = const()[name = string("alpha_61"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83254656)))]; tensor var_1171 = const()[name = string("op_1171"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83255232)))]; tensor var_1174 = mul(x = x_63, y = alpha_61)[name = string("op_1174")]; tensor 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 var_1176 = pow(x = var_1175, y = var_1141_promoted)[name = string("op_1176")]; tensor var_1177 = mul(x = var_1171, y = var_1176)[name = string("op_1177")]; tensor 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 x_65_pad_0 = const()[name = string("x_65_pad_0"), val = tensor([1, 1])]; tensor x_65_strides_0 = const()[name = string("x_65_strides_0"), val = tensor([1])]; tensor x_65_dilations_0 = const()[name = string("x_65_dilations_0"), val = tensor([1])]; int32 x_65_groups_0 = const()[name = string("x_65_groups_0"), val = int32(1)]; tensor 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 alpha_63 = const()[name = string("alpha_63"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83255808)))]; tensor var_1191 = const()[name = string("op_1191"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83256384)))]; tensor var_1194 = mul(x = x_65, y = alpha_63)[name = string("op_1194")]; tensor 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 var_1196 = pow(x = var_1195, y = var_1141_promoted_1)[name = string("op_1196")]; tensor var_1197 = mul(x = var_1191, y = var_1196)[name = string("op_1197")]; tensor 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 xt_31_pad_0 = const()[name = string("xt_31_pad_0"), val = tensor([1, 1])]; tensor xt_31_strides_0 = const()[name = string("xt_31_strides_0"), val = tensor([1])]; tensor xt_31_dilations_0 = const()[name = string("xt_31_dilations_0"), val = tensor([1])]; int32 xt_31_groups_0 = const()[name = string("xt_31_groups_0"), val = int32(1)]; tensor 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 x_67 = add(x = xt_31, y = x_63)[name = string("x_67")]; tensor alpha_65 = const()[name = string("alpha_65"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83256960)))]; tensor var_1212 = const()[name = string("op_1212"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83257536)))]; tensor var_1215 = mul(x = x_67, y = alpha_65)[name = string("op_1215")]; tensor 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 var_1217 = pow(x = var_1216, y = var_1141_promoted_2)[name = string("op_1217")]; tensor var_1218 = mul(x = var_1212, y = var_1217)[name = string("op_1218")]; tensor 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 x_69_pad_0 = const()[name = string("x_69_pad_0"), val = tensor([3, 3])]; tensor x_69_dilations_0 = const()[name = string("x_69_dilations_0"), val = tensor([3])]; tensor x_69_strides_0 = const()[name = string("x_69_strides_0"), val = tensor([1])]; int32 x_69_groups_0 = const()[name = string("x_69_groups_0"), val = int32(1)]; tensor 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 alpha_67 = const()[name = string("alpha_67"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83258112)))]; tensor var_1232 = const()[name = string("op_1232"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83258688)))]; tensor var_1235 = mul(x = x_69, y = alpha_67)[name = string("op_1235")]; tensor 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 var_1237 = pow(x = var_1236, y = var_1141_promoted_3)[name = string("op_1237")]; tensor var_1238 = mul(x = var_1232, y = var_1237)[name = string("op_1238")]; tensor 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 xt_33_pad_0 = const()[name = string("xt_33_pad_0"), val = tensor([1, 1])]; tensor xt_33_strides_0 = const()[name = string("xt_33_strides_0"), val = tensor([1])]; tensor xt_33_dilations_0 = const()[name = string("xt_33_dilations_0"), val = tensor([1])]; int32 xt_33_groups_0 = const()[name = string("xt_33_groups_0"), val = int32(1)]; tensor 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 x_71 = add(x = xt_33, y = x_67)[name = string("x_71")]; tensor alpha_69 = const()[name = string("alpha_69"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83259264)))]; tensor var_1253 = const()[name = string("op_1253"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83259840)))]; tensor var_1256 = mul(x = x_71, y = alpha_69)[name = string("op_1256")]; tensor 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 var_1258 = pow(x = var_1257, y = var_1141_promoted_4)[name = string("op_1258")]; tensor var_1259 = mul(x = var_1253, y = var_1258)[name = string("op_1259")]; tensor 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 x_73_pad_0 = const()[name = string("x_73_pad_0"), val = tensor([5, 5])]; tensor x_73_dilations_0 = const()[name = string("x_73_dilations_0"), val = tensor([5])]; tensor x_73_strides_0 = const()[name = string("x_73_strides_0"), val = tensor([1])]; int32 x_73_groups_0 = const()[name = string("x_73_groups_0"), val = int32(1)]; tensor 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 alpha_71 = const()[name = string("alpha_71"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83260416)))]; tensor var_1273 = const()[name = string("op_1273"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83260992)))]; tensor var_1276 = mul(x = x_73, y = alpha_71)[name = string("op_1276")]; tensor 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 var_1278 = pow(x = var_1277, y = var_1141_promoted_5)[name = string("op_1278")]; tensor var_1279 = mul(x = var_1273, y = var_1278)[name = string("op_1279")]; tensor 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 xt_35_pad_0 = const()[name = string("xt_35_pad_0"), val = tensor([1, 1])]; tensor xt_35_strides_0 = const()[name = string("xt_35_strides_0"), val = tensor([1])]; tensor xt_35_dilations_0 = const()[name = string("xt_35_dilations_0"), val = tensor([1])]; int32 xt_35_groups_0 = const()[name = string("xt_35_groups_0"), val = int32(1)]; tensor 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 xs_7 = add(x = xt_35, y = x_71)[name = string("xs_7")]; tensor alpha_73 = const()[name = string("alpha_73"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83261568)))]; tensor var_1328 = const()[name = string("op_1328"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83262144)))]; tensor var_1331 = mul(x = x_63, y = alpha_73)[name = string("op_1331")]; tensor 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 var_1333 = pow(x = var_1332, y = var_1298_promoted)[name = string("op_1333")]; tensor var_1334 = mul(x = var_1328, y = var_1333)[name = string("op_1334")]; tensor 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 x_75_pad_0 = const()[name = string("x_75_pad_0"), val = tensor([3, 3])]; tensor x_75_strides_0 = const()[name = string("x_75_strides_0"), val = tensor([1])]; tensor x_75_dilations_0 = const()[name = string("x_75_dilations_0"), val = tensor([1])]; int32 x_75_groups_0 = const()[name = string("x_75_groups_0"), val = int32(1)]; tensor 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 alpha_75 = const()[name = string("alpha_75"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83262720)))]; tensor var_1348 = const()[name = string("op_1348"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83263296)))]; tensor var_1351 = mul(x = x_75, y = alpha_75)[name = string("op_1351")]; tensor 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 var_1353 = pow(x = var_1352, y = var_1298_promoted_1)[name = string("op_1353")]; tensor var_1354 = mul(x = var_1348, y = var_1353)[name = string("op_1354")]; tensor 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 xt_37_pad_0 = const()[name = string("xt_37_pad_0"), val = tensor([3, 3])]; tensor xt_37_strides_0 = const()[name = string("xt_37_strides_0"), val = tensor([1])]; tensor xt_37_dilations_0 = const()[name = string("xt_37_dilations_0"), val = tensor([1])]; int32 xt_37_groups_0 = const()[name = string("xt_37_groups_0"), val = int32(1)]; tensor 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 x_77 = add(x = xt_37, y = x_63)[name = string("x_77")]; tensor alpha_77 = const()[name = string("alpha_77"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83263872)))]; tensor var_1369 = const()[name = string("op_1369"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83264448)))]; tensor var_1372 = mul(x = x_77, y = alpha_77)[name = string("op_1372")]; tensor 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 var_1374 = pow(x = var_1373, y = var_1298_promoted_2)[name = string("op_1374")]; tensor var_1375 = mul(x = var_1369, y = var_1374)[name = string("op_1375")]; tensor 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 x_79_pad_0 = const()[name = string("x_79_pad_0"), val = tensor([9, 9])]; tensor x_79_dilations_0 = const()[name = string("x_79_dilations_0"), val = tensor([3])]; tensor x_79_strides_0 = const()[name = string("x_79_strides_0"), val = tensor([1])]; int32 x_79_groups_0 = const()[name = string("x_79_groups_0"), val = int32(1)]; tensor 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 alpha_79 = const()[name = string("alpha_79"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83265024)))]; tensor var_1389 = const()[name = string("op_1389"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83265600)))]; tensor var_1392 = mul(x = x_79, y = alpha_79)[name = string("op_1392")]; tensor 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 var_1394 = pow(x = var_1393, y = var_1298_promoted_3)[name = string("op_1394")]; tensor var_1395 = mul(x = var_1389, y = var_1394)[name = string("op_1395")]; tensor 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 xt_39_pad_0 = const()[name = string("xt_39_pad_0"), val = tensor([3, 3])]; tensor xt_39_strides_0 = const()[name = string("xt_39_strides_0"), val = tensor([1])]; tensor xt_39_dilations_0 = const()[name = string("xt_39_dilations_0"), val = tensor([1])]; int32 xt_39_groups_0 = const()[name = string("xt_39_groups_0"), val = int32(1)]; tensor 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 x_81 = add(x = xt_39, y = x_77)[name = string("x_81")]; tensor alpha_81 = const()[name = string("alpha_81"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83266176)))]; tensor var_1410 = const()[name = string("op_1410"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83266752)))]; tensor var_1413 = mul(x = x_81, y = alpha_81)[name = string("op_1413")]; tensor 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 var_1415 = pow(x = var_1414, y = var_1298_promoted_4)[name = string("op_1415")]; tensor var_1416 = mul(x = var_1410, y = var_1415)[name = string("op_1416")]; tensor 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 x_83_pad_0 = const()[name = string("x_83_pad_0"), val = tensor([15, 15])]; tensor x_83_dilations_0 = const()[name = string("x_83_dilations_0"), val = tensor([5])]; tensor x_83_strides_0 = const()[name = string("x_83_strides_0"), val = tensor([1])]; int32 x_83_groups_0 = const()[name = string("x_83_groups_0"), val = int32(1)]; tensor 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 alpha_83 = const()[name = string("alpha_83"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83267328)))]; tensor var_1430 = const()[name = string("op_1430"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83267904)))]; tensor var_1433 = mul(x = x_83, y = alpha_83)[name = string("op_1433")]; tensor 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 var_1435 = pow(x = var_1434, y = var_1298_promoted_5)[name = string("op_1435")]; tensor var_1436 = mul(x = var_1430, y = var_1435)[name = string("op_1436")]; tensor 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 xt_41_pad_0 = const()[name = string("xt_41_pad_0"), val = tensor([3, 3])]; tensor xt_41_strides_0 = const()[name = string("xt_41_strides_0"), val = tensor([1])]; tensor xt_41_dilations_0 = const()[name = string("xt_41_dilations_0"), val = tensor([1])]; int32 xt_41_groups_0 = const()[name = string("xt_41_groups_0"), val = int32(1)]; tensor 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 var_1445 = add(x = xt_41, y = x_81)[name = string("op_1445")]; tensor xs_9 = add(x = xs_7, y = var_1445)[name = string("xs_9")]; tensor alpha_85 = const()[name = string("alpha_85"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83268480)))]; tensor var_1487 = const()[name = string("op_1487"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83269056)))]; tensor var_1490 = mul(x = x_63, y = alpha_85)[name = string("op_1490")]; tensor 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 var_1492 = pow(x = var_1491, y = var_1457_promoted)[name = string("op_1492")]; tensor var_1493 = mul(x = var_1487, y = var_1492)[name = string("op_1493")]; tensor 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 x_85_pad_0 = const()[name = string("x_85_pad_0"), val = tensor([5, 5])]; tensor x_85_strides_0 = const()[name = string("x_85_strides_0"), val = tensor([1])]; tensor x_85_dilations_0 = const()[name = string("x_85_dilations_0"), val = tensor([1])]; int32 x_85_groups_0 = const()[name = string("x_85_groups_0"), val = int32(1)]; tensor 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 alpha_87 = const()[name = string("alpha_87"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83269632)))]; tensor var_1507 = const()[name = string("op_1507"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83270208)))]; tensor var_1510 = mul(x = x_85, y = alpha_87)[name = string("op_1510")]; tensor 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 var_1512 = pow(x = var_1511, y = var_1457_promoted_1)[name = string("op_1512")]; tensor var_1513 = mul(x = var_1507, y = var_1512)[name = string("op_1513")]; tensor 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 xt_43_pad_0 = const()[name = string("xt_43_pad_0"), val = tensor([5, 5])]; tensor xt_43_strides_0 = const()[name = string("xt_43_strides_0"), val = tensor([1])]; tensor xt_43_dilations_0 = const()[name = string("xt_43_dilations_0"), val = tensor([1])]; int32 xt_43_groups_0 = const()[name = string("xt_43_groups_0"), val = int32(1)]; tensor 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 x_87 = add(x = xt_43, y = x_63)[name = string("x_87")]; tensor alpha_89 = const()[name = string("alpha_89"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83270784)))]; tensor var_1528 = const()[name = string("op_1528"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83271360)))]; tensor var_1531 = mul(x = x_87, y = alpha_89)[name = string("op_1531")]; tensor 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 var_1533 = pow(x = var_1532, y = var_1457_promoted_2)[name = string("op_1533")]; tensor var_1534 = mul(x = var_1528, y = var_1533)[name = string("op_1534")]; tensor 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 x_89_pad_0 = const()[name = string("x_89_pad_0"), val = tensor([15, 15])]; tensor x_89_dilations_0 = const()[name = string("x_89_dilations_0"), val = tensor([3])]; tensor x_89_strides_0 = const()[name = string("x_89_strides_0"), val = tensor([1])]; int32 x_89_groups_0 = const()[name = string("x_89_groups_0"), val = int32(1)]; tensor 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 alpha_91 = const()[name = string("alpha_91"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83271936)))]; tensor var_1548 = const()[name = string("op_1548"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83272512)))]; tensor var_1551 = mul(x = x_89, y = alpha_91)[name = string("op_1551")]; tensor 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 var_1553 = pow(x = var_1552, y = var_1457_promoted_3)[name = string("op_1553")]; tensor var_1554 = mul(x = var_1548, y = var_1553)[name = string("op_1554")]; tensor 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 xt_45_pad_0 = const()[name = string("xt_45_pad_0"), val = tensor([5, 5])]; tensor xt_45_strides_0 = const()[name = string("xt_45_strides_0"), val = tensor([1])]; tensor xt_45_dilations_0 = const()[name = string("xt_45_dilations_0"), val = tensor([1])]; int32 xt_45_groups_0 = const()[name = string("xt_45_groups_0"), val = int32(1)]; tensor 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 x_91 = add(x = xt_45, y = x_87)[name = string("x_91")]; tensor alpha_93 = const()[name = string("alpha_93"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83273088)))]; tensor var_1569 = const()[name = string("op_1569"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83273664)))]; tensor var_1572 = mul(x = x_91, y = alpha_93)[name = string("op_1572")]; tensor 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 var_1574 = pow(x = var_1573, y = var_1457_promoted_4)[name = string("op_1574")]; tensor var_1575 = mul(x = var_1569, y = var_1574)[name = string("op_1575")]; tensor 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 x_93_pad_0 = const()[name = string("x_93_pad_0"), val = tensor([25, 25])]; tensor x_93_dilations_0 = const()[name = string("x_93_dilations_0"), val = tensor([5])]; tensor x_93_strides_0 = const()[name = string("x_93_strides_0"), val = tensor([1])]; int32 x_93_groups_0 = const()[name = string("x_93_groups_0"), val = int32(1)]; tensor 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 alpha_95 = const()[name = string("alpha_95"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83274240)))]; tensor var_1589 = const()[name = string("op_1589"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83274816)))]; tensor var_1592 = mul(x = x_93, y = alpha_95)[name = string("op_1592")]; tensor 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 var_1594 = pow(x = var_1593, y = var_1457_promoted_5)[name = string("op_1594")]; tensor var_1595 = mul(x = var_1589, y = var_1594)[name = string("op_1595")]; tensor 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 xt_47_pad_0 = const()[name = string("xt_47_pad_0"), val = tensor([5, 5])]; tensor xt_47_strides_0 = const()[name = string("xt_47_strides_0"), val = tensor([1])]; tensor xt_47_dilations_0 = const()[name = string("xt_47_dilations_0"), val = tensor([1])]; int32 xt_47_groups_0 = const()[name = string("xt_47_groups_0"), val = int32(1)]; tensor 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 var_1604 = add(x = xt_47, y = x_91)[name = string("op_1604")]; tensor 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 _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 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 input_143_pad_0 = const()[name = string("input_143_pad_0"), val = tensor([2, 2])]; tensor input_143_strides_0 = const()[name = string("input_143_strides_0"), val = tensor([3])]; tensor input_143_dilations_0 = const()[name = string("input_143_dilations_0"), val = tensor([1])]; int32 input_143_groups_0 = const()[name = string("input_143_groups_0"), val = int32(1)]; tensor 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 x_107_pad_0 = const()[name = string("x_107_pad_0"), val = tensor([0, 0, 0, 0, 1, 0])]; string x_107_mode_0 = const()[name = string("x_107_mode_0"), val = string("reflect")]; tensor 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 x_95_strides_0 = const()[name = string("x_95_strides_0"), val = tensor([1])]; tensor x_95_pad_0 = const()[name = string("x_95_pad_0"), val = tensor([0, 0])]; tensor x_95_dilations_0 = const()[name = string("x_95_dilations_0"), val = tensor([1])]; int32 x_95_groups_0 = const()[name = string("x_95_groups_0"), val = int32(1)]; tensor 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 alpha_97 = const()[name = string("alpha_97"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83275392)))]; tensor var_1680 = const()[name = string("op_1680"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83275712)))]; tensor var_1683 = mul(x = x_95, y = alpha_97)[name = string("op_1683")]; tensor 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 var_1685 = pow(x = var_1684, y = var_1650_promoted)[name = string("op_1685")]; tensor var_1686 = mul(x = var_1680, y = var_1685)[name = string("op_1686")]; tensor 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 x_97_pad_0 = const()[name = string("x_97_pad_0"), val = tensor([5, 5])]; tensor x_97_strides_0 = const()[name = string("x_97_strides_0"), val = tensor([1])]; tensor x_97_dilations_0 = const()[name = string("x_97_dilations_0"), val = tensor([1])]; int32 x_97_groups_0 = const()[name = string("x_97_groups_0"), val = int32(1)]; tensor 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 alpha_99 = const()[name = string("alpha_99"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83276032)))]; tensor var_1700 = const()[name = string("op_1700"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83276352)))]; tensor var_1703 = mul(x = x_97, y = alpha_99)[name = string("op_1703")]; tensor 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 var_1705 = pow(x = var_1704, y = var_1650_promoted_1)[name = string("op_1705")]; tensor var_1706 = mul(x = var_1700, y = var_1705)[name = string("op_1706")]; tensor 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 xt_49_pad_0 = const()[name = string("xt_49_pad_0"), val = tensor([5, 5])]; tensor xt_49_strides_0 = const()[name = string("xt_49_strides_0"), val = tensor([1])]; tensor xt_49_dilations_0 = const()[name = string("xt_49_dilations_0"), val = tensor([1])]; int32 xt_49_groups_0 = const()[name = string("xt_49_groups_0"), val = int32(1)]; tensor 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 x_99 = add(x = xt_49, y = x_95)[name = string("x_99")]; tensor alpha_101 = const()[name = string("alpha_101"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83276672)))]; tensor var_1721 = const()[name = string("op_1721"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83276992)))]; tensor var_1724 = mul(x = x_99, y = alpha_101)[name = string("op_1724")]; tensor 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 var_1726 = pow(x = var_1725, y = var_1650_promoted_2)[name = string("op_1726")]; tensor var_1727 = mul(x = var_1721, y = var_1726)[name = string("op_1727")]; tensor 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 x_101_pad_0 = const()[name = string("x_101_pad_0"), val = tensor([15, 15])]; tensor x_101_dilations_0 = const()[name = string("x_101_dilations_0"), val = tensor([3])]; tensor x_101_strides_0 = const()[name = string("x_101_strides_0"), val = tensor([1])]; int32 x_101_groups_0 = const()[name = string("x_101_groups_0"), val = int32(1)]; tensor 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 alpha_103 = const()[name = string("alpha_103"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83277312)))]; tensor var_1741 = const()[name = string("op_1741"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83277632)))]; tensor var_1744 = mul(x = x_101, y = alpha_103)[name = string("op_1744")]; tensor 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 var_1746 = pow(x = var_1745, y = var_1650_promoted_3)[name = string("op_1746")]; tensor var_1747 = mul(x = var_1741, y = var_1746)[name = string("op_1747")]; tensor 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 xt_51_pad_0 = const()[name = string("xt_51_pad_0"), val = tensor([5, 5])]; tensor xt_51_strides_0 = const()[name = string("xt_51_strides_0"), val = tensor([1])]; tensor xt_51_dilations_0 = const()[name = string("xt_51_dilations_0"), val = tensor([1])]; int32 xt_51_groups_0 = const()[name = string("xt_51_groups_0"), val = int32(1)]; tensor 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 x_103 = add(x = xt_51, y = x_99)[name = string("x_103")]; tensor alpha_105 = const()[name = string("alpha_105"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83277952)))]; tensor var_1762 = const()[name = string("op_1762"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83278272)))]; tensor var_1765 = mul(x = x_103, y = alpha_105)[name = string("op_1765")]; tensor 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 var_1767 = pow(x = var_1766, y = var_1650_promoted_4)[name = string("op_1767")]; tensor var_1768 = mul(x = var_1762, y = var_1767)[name = string("op_1768")]; tensor 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 x_105_pad_0 = const()[name = string("x_105_pad_0"), val = tensor([25, 25])]; tensor x_105_dilations_0 = const()[name = string("x_105_dilations_0"), val = tensor([5])]; tensor x_105_strides_0 = const()[name = string("x_105_strides_0"), val = tensor([1])]; int32 x_105_groups_0 = const()[name = string("x_105_groups_0"), val = int32(1)]; tensor 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 alpha_107 = const()[name = string("alpha_107"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83278592)))]; tensor var_1782 = const()[name = string("op_1782"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83278912)))]; tensor var_1785 = mul(x = x_105, y = alpha_107)[name = string("op_1785")]; tensor 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 var_1787 = pow(x = var_1786, y = var_1650_promoted_5)[name = string("op_1787")]; tensor var_1788 = mul(x = var_1782, y = var_1787)[name = string("op_1788")]; tensor 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 xt_53_pad_0 = const()[name = string("xt_53_pad_0"), val = tensor([5, 5])]; tensor xt_53_strides_0 = const()[name = string("xt_53_strides_0"), val = tensor([1])]; tensor xt_53_dilations_0 = const()[name = string("xt_53_dilations_0"), val = tensor([1])]; int32 xt_53_groups_0 = const()[name = string("xt_53_groups_0"), val = int32(1)]; tensor 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 si = add(x = xt_53, y = x_103)[name = string("si")]; tensor 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 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 var_1815_begin_0 = const()[name = string("op_1815_begin_0"), val = tensor([0, 0, 0])]; tensor var_1815_end_mask_0 = const()[name = string("op_1815_end_mask_0"), val = tensor([true, true, false])]; tensor 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 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 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 var_1833_begin_0 = const()[name = string("op_1833_begin_0"), val = tensor([0, 0, 0])]; tensor var_1833_end_mask_0 = const()[name = string("op_1833_end_mask_0"), val = tensor([true, true, false])]; tensor 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 x_109 = add(x = var_1815, y = var_1833)[name = string("x_109")]; tensor alpha_109 = const()[name = string("alpha_109"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83279232)))]; tensor var_1873 = const()[name = string("op_1873"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83279552)))]; tensor var_1876 = mul(x = x_109, y = alpha_109)[name = string("op_1876")]; tensor 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 var_1878 = pow(x = var_1877, y = var_1843_promoted)[name = string("op_1878")]; tensor var_1879 = mul(x = var_1873, y = var_1878)[name = string("op_1879")]; tensor 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 x_111_pad_0 = const()[name = string("x_111_pad_0"), val = tensor([1, 1])]; tensor x_111_strides_0 = const()[name = string("x_111_strides_0"), val = tensor([1])]; tensor x_111_dilations_0 = const()[name = string("x_111_dilations_0"), val = tensor([1])]; int32 x_111_groups_0 = const()[name = string("x_111_groups_0"), val = int32(1)]; tensor 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 alpha_111 = const()[name = string("alpha_111"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83279872)))]; tensor var_1893 = const()[name = string("op_1893"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83280192)))]; tensor var_1896 = mul(x = x_111, y = alpha_111)[name = string("op_1896")]; tensor 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 var_1898 = pow(x = var_1897, y = var_1843_promoted_1)[name = string("op_1898")]; tensor var_1899 = mul(x = var_1893, y = var_1898)[name = string("op_1899")]; tensor 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 xt_55_pad_0 = const()[name = string("xt_55_pad_0"), val = tensor([1, 1])]; tensor xt_55_strides_0 = const()[name = string("xt_55_strides_0"), val = tensor([1])]; tensor xt_55_dilations_0 = const()[name = string("xt_55_dilations_0"), val = tensor([1])]; int32 xt_55_groups_0 = const()[name = string("xt_55_groups_0"), val = int32(1)]; tensor 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 x_113 = add(x = xt_55, y = x_109)[name = string("x_113")]; tensor alpha_113 = const()[name = string("alpha_113"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83280512)))]; tensor var_1914 = const()[name = string("op_1914"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83280832)))]; tensor var_1917 = mul(x = x_113, y = alpha_113)[name = string("op_1917")]; tensor 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 var_1919 = pow(x = var_1918, y = var_1843_promoted_2)[name = string("op_1919")]; tensor var_1920 = mul(x = var_1914, y = var_1919)[name = string("op_1920")]; tensor 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 x_115_pad_0 = const()[name = string("x_115_pad_0"), val = tensor([3, 3])]; tensor x_115_dilations_0 = const()[name = string("x_115_dilations_0"), val = tensor([3])]; tensor x_115_strides_0 = const()[name = string("x_115_strides_0"), val = tensor([1])]; int32 x_115_groups_0 = const()[name = string("x_115_groups_0"), val = int32(1)]; tensor 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 alpha_115 = const()[name = string("alpha_115"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83281152)))]; tensor var_1934 = const()[name = string("op_1934"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83281472)))]; tensor var_1937 = mul(x = x_115, y = alpha_115)[name = string("op_1937")]; tensor 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 var_1939 = pow(x = var_1938, y = var_1843_promoted_3)[name = string("op_1939")]; tensor var_1940 = mul(x = var_1934, y = var_1939)[name = string("op_1940")]; tensor 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 xt_57_pad_0 = const()[name = string("xt_57_pad_0"), val = tensor([1, 1])]; tensor xt_57_strides_0 = const()[name = string("xt_57_strides_0"), val = tensor([1])]; tensor xt_57_dilations_0 = const()[name = string("xt_57_dilations_0"), val = tensor([1])]; int32 xt_57_groups_0 = const()[name = string("xt_57_groups_0"), val = int32(1)]; tensor 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 x_117 = add(x = xt_57, y = x_113)[name = string("x_117")]; tensor alpha_117 = const()[name = string("alpha_117"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83281792)))]; tensor var_1955 = const()[name = string("op_1955"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83282112)))]; tensor var_1958 = mul(x = x_117, y = alpha_117)[name = string("op_1958")]; tensor 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 var_1960 = pow(x = var_1959, y = var_1843_promoted_4)[name = string("op_1960")]; tensor var_1961 = mul(x = var_1955, y = var_1960)[name = string("op_1961")]; tensor 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 x_119_pad_0 = const()[name = string("x_119_pad_0"), val = tensor([5, 5])]; tensor x_119_dilations_0 = const()[name = string("x_119_dilations_0"), val = tensor([5])]; tensor x_119_strides_0 = const()[name = string("x_119_strides_0"), val = tensor([1])]; int32 x_119_groups_0 = const()[name = string("x_119_groups_0"), val = int32(1)]; tensor 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 alpha_119 = const()[name = string("alpha_119"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83282432)))]; tensor var_1975 = const()[name = string("op_1975"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83282752)))]; tensor var_1978 = mul(x = x_119, y = alpha_119)[name = string("op_1978")]; tensor 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 var_1980 = pow(x = var_1979, y = var_1843_promoted_5)[name = string("op_1980")]; tensor var_1981 = mul(x = var_1975, y = var_1980)[name = string("op_1981")]; tensor 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 xt_59_pad_0 = const()[name = string("xt_59_pad_0"), val = tensor([1, 1])]; tensor xt_59_strides_0 = const()[name = string("xt_59_strides_0"), val = tensor([1])]; tensor xt_59_dilations_0 = const()[name = string("xt_59_dilations_0"), val = tensor([1])]; int32 xt_59_groups_0 = const()[name = string("xt_59_groups_0"), val = int32(1)]; tensor 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 xs_13 = add(x = xt_59, y = x_117)[name = string("xs_13")]; tensor alpha_121 = const()[name = string("alpha_121"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83283072)))]; tensor var_2030 = const()[name = string("op_2030"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83283392)))]; tensor var_2033 = mul(x = x_109, y = alpha_121)[name = string("op_2033")]; tensor 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 var_2035 = pow(x = var_2034, y = var_2000_promoted)[name = string("op_2035")]; tensor var_2036 = mul(x = var_2030, y = var_2035)[name = string("op_2036")]; tensor 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 x_121_pad_0 = const()[name = string("x_121_pad_0"), val = tensor([3, 3])]; tensor x_121_strides_0 = const()[name = string("x_121_strides_0"), val = tensor([1])]; tensor x_121_dilations_0 = const()[name = string("x_121_dilations_0"), val = tensor([1])]; int32 x_121_groups_0 = const()[name = string("x_121_groups_0"), val = int32(1)]; tensor 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 alpha_123 = const()[name = string("alpha_123"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83283712)))]; tensor var_2050 = const()[name = string("op_2050"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83284032)))]; tensor var_2053 = mul(x = x_121, y = alpha_123)[name = string("op_2053")]; tensor 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 var_2055 = pow(x = var_2054, y = var_2000_promoted_1)[name = string("op_2055")]; tensor var_2056 = mul(x = var_2050, y = var_2055)[name = string("op_2056")]; tensor 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 xt_61_pad_0 = const()[name = string("xt_61_pad_0"), val = tensor([3, 3])]; tensor xt_61_strides_0 = const()[name = string("xt_61_strides_0"), val = tensor([1])]; tensor xt_61_dilations_0 = const()[name = string("xt_61_dilations_0"), val = tensor([1])]; int32 xt_61_groups_0 = const()[name = string("xt_61_groups_0"), val = int32(1)]; tensor 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 x_123 = add(x = xt_61, y = x_109)[name = string("x_123")]; tensor alpha_125 = const()[name = string("alpha_125"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83284352)))]; tensor var_2071 = const()[name = string("op_2071"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83284672)))]; tensor var_2074 = mul(x = x_123, y = alpha_125)[name = string("op_2074")]; tensor 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 var_2076 = pow(x = var_2075, y = var_2000_promoted_2)[name = string("op_2076")]; tensor var_2077 = mul(x = var_2071, y = var_2076)[name = string("op_2077")]; tensor 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 x_125_pad_0 = const()[name = string("x_125_pad_0"), val = tensor([9, 9])]; tensor x_125_dilations_0 = const()[name = string("x_125_dilations_0"), val = tensor([3])]; tensor x_125_strides_0 = const()[name = string("x_125_strides_0"), val = tensor([1])]; int32 x_125_groups_0 = const()[name = string("x_125_groups_0"), val = int32(1)]; tensor 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 alpha_127 = const()[name = string("alpha_127"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83284992)))]; tensor var_2091 = const()[name = string("op_2091"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83285312)))]; tensor var_2094 = mul(x = x_125, y = alpha_127)[name = string("op_2094")]; tensor 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 var_2096 = pow(x = var_2095, y = var_2000_promoted_3)[name = string("op_2096")]; tensor var_2097 = mul(x = var_2091, y = var_2096)[name = string("op_2097")]; tensor 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 xt_63_pad_0 = const()[name = string("xt_63_pad_0"), val = tensor([3, 3])]; tensor xt_63_strides_0 = const()[name = string("xt_63_strides_0"), val = tensor([1])]; tensor xt_63_dilations_0 = const()[name = string("xt_63_dilations_0"), val = tensor([1])]; int32 xt_63_groups_0 = const()[name = string("xt_63_groups_0"), val = int32(1)]; tensor 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 x_127 = add(x = xt_63, y = x_123)[name = string("x_127")]; tensor alpha_129 = const()[name = string("alpha_129"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83285632)))]; tensor var_2112 = const()[name = string("op_2112"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83285952)))]; tensor var_2115 = mul(x = x_127, y = alpha_129)[name = string("op_2115")]; tensor 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 var_2117 = pow(x = var_2116, y = var_2000_promoted_4)[name = string("op_2117")]; tensor var_2118 = mul(x = var_2112, y = var_2117)[name = string("op_2118")]; tensor 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 x_129_pad_0 = const()[name = string("x_129_pad_0"), val = tensor([15, 15])]; tensor x_129_dilations_0 = const()[name = string("x_129_dilations_0"), val = tensor([5])]; tensor x_129_strides_0 = const()[name = string("x_129_strides_0"), val = tensor([1])]; int32 x_129_groups_0 = const()[name = string("x_129_groups_0"), val = int32(1)]; tensor 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 alpha_131 = const()[name = string("alpha_131"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83286272)))]; tensor var_2132 = const()[name = string("op_2132"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83286592)))]; tensor var_2135 = mul(x = x_129, y = alpha_131)[name = string("op_2135")]; tensor 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 var_2137 = pow(x = var_2136, y = var_2000_promoted_5)[name = string("op_2137")]; tensor var_2138 = mul(x = var_2132, y = var_2137)[name = string("op_2138")]; tensor 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 xt_65_pad_0 = const()[name = string("xt_65_pad_0"), val = tensor([3, 3])]; tensor xt_65_strides_0 = const()[name = string("xt_65_strides_0"), val = tensor([1])]; tensor xt_65_dilations_0 = const()[name = string("xt_65_dilations_0"), val = tensor([1])]; int32 xt_65_groups_0 = const()[name = string("xt_65_groups_0"), val = int32(1)]; tensor 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 var_2147 = add(x = xt_65, y = x_127)[name = string("op_2147")]; tensor xs_15 = add(x = xs_13, y = var_2147)[name = string("xs_15")]; tensor alpha_133 = const()[name = string("alpha_133"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83286912)))]; tensor var_2189 = const()[name = string("op_2189"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83287232)))]; tensor var_2192 = mul(x = x_109, y = alpha_133)[name = string("op_2192")]; tensor 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 var_2194 = pow(x = var_2193, y = var_2159_promoted)[name = string("op_2194")]; tensor var_2195 = mul(x = var_2189, y = var_2194)[name = string("op_2195")]; tensor 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 x_131_pad_0 = const()[name = string("x_131_pad_0"), val = tensor([5, 5])]; tensor x_131_strides_0 = const()[name = string("x_131_strides_0"), val = tensor([1])]; tensor x_131_dilations_0 = const()[name = string("x_131_dilations_0"), val = tensor([1])]; int32 x_131_groups_0 = const()[name = string("x_131_groups_0"), val = int32(1)]; tensor 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 alpha_135 = const()[name = string("alpha_135"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83287552)))]; tensor var_2209 = const()[name = string("op_2209"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83287872)))]; tensor var_2212 = mul(x = x_131, y = alpha_135)[name = string("op_2212")]; tensor 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 var_2214 = pow(x = var_2213, y = var_2159_promoted_1)[name = string("op_2214")]; tensor var_2215 = mul(x = var_2209, y = var_2214)[name = string("op_2215")]; tensor 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 xt_67_pad_0 = const()[name = string("xt_67_pad_0"), val = tensor([5, 5])]; tensor xt_67_strides_0 = const()[name = string("xt_67_strides_0"), val = tensor([1])]; tensor xt_67_dilations_0 = const()[name = string("xt_67_dilations_0"), val = tensor([1])]; int32 xt_67_groups_0 = const()[name = string("xt_67_groups_0"), val = int32(1)]; tensor 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 x_133 = add(x = xt_67, y = x_109)[name = string("x_133")]; tensor alpha_137 = const()[name = string("alpha_137"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83288192)))]; tensor var_2230 = const()[name = string("op_2230"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83288512)))]; tensor var_2233 = mul(x = x_133, y = alpha_137)[name = string("op_2233")]; tensor 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 var_2235 = pow(x = var_2234, y = var_2159_promoted_2)[name = string("op_2235")]; tensor var_2236 = mul(x = var_2230, y = var_2235)[name = string("op_2236")]; tensor 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 x_135_pad_0 = const()[name = string("x_135_pad_0"), val = tensor([15, 15])]; tensor x_135_dilations_0 = const()[name = string("x_135_dilations_0"), val = tensor([3])]; tensor x_135_strides_0 = const()[name = string("x_135_strides_0"), val = tensor([1])]; int32 x_135_groups_0 = const()[name = string("x_135_groups_0"), val = int32(1)]; tensor 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 alpha_139 = const()[name = string("alpha_139"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83288832)))]; tensor var_2250 = const()[name = string("op_2250"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83289152)))]; tensor var_2253 = mul(x = x_135, y = alpha_139)[name = string("op_2253")]; tensor 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 var_2255 = pow(x = var_2254, y = var_2159_promoted_3)[name = string("op_2255")]; tensor var_2256 = mul(x = var_2250, y = var_2255)[name = string("op_2256")]; tensor 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 xt_69_pad_0 = const()[name = string("xt_69_pad_0"), val = tensor([5, 5])]; tensor xt_69_strides_0 = const()[name = string("xt_69_strides_0"), val = tensor([1])]; tensor xt_69_dilations_0 = const()[name = string("xt_69_dilations_0"), val = tensor([1])]; int32 xt_69_groups_0 = const()[name = string("xt_69_groups_0"), val = int32(1)]; tensor 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 x_137 = add(x = xt_69, y = x_133)[name = string("x_137")]; tensor alpha_141 = const()[name = string("alpha_141"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83289472)))]; tensor var_2271 = const()[name = string("op_2271"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83289792)))]; tensor var_2274 = mul(x = x_137, y = alpha_141)[name = string("op_2274")]; tensor 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 var_2276 = pow(x = var_2275, y = var_2159_promoted_4)[name = string("op_2276")]; tensor var_2277 = mul(x = var_2271, y = var_2276)[name = string("op_2277")]; tensor 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 x_pad_0 = const()[name = string("x_pad_0"), val = tensor([25, 25])]; tensor x_dilations_0 = const()[name = string("x_dilations_0"), val = tensor([5])]; tensor x_strides_0 = const()[name = string("x_strides_0"), val = tensor([1])]; int32 x_groups_0 = const()[name = string("x_groups_0"), val = int32(1)]; tensor 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 alpha_143 = const()[name = string("alpha_143"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83290112)))]; tensor var_2291 = const()[name = string("op_2291"), val = tensor(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(83290432)))]; tensor var_2294 = mul(x = x, y = alpha_143)[name = string("op_2294")]; tensor 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 var_2296 = pow(x = var_2295, y = var_2159_promoted_5)[name = string("op_2296")]; tensor var_2297 = mul(x = var_2291, y = var_2296)[name = string("op_2297")]; tensor 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 xt_pad_0 = const()[name = string("xt_pad_0"), val = tensor([5, 5])]; tensor xt_strides_0 = const()[name = string("xt_strides_0"), val = tensor([1])]; tensor xt_dilations_0 = const()[name = string("xt_dilations_0"), val = tensor([1])]; int32 xt_groups_0 = const()[name = string("xt_groups_0"), val = int32(1)]; tensor 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 var_2306 = add(x = xt, y = x_137)[name = string("op_2306")]; tensor 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 _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 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 var_2324_pad_0 = const()[name = string("op_2324_pad_0"), val = tensor([3, 3])]; tensor var_2324_strides_0 = const()[name = string("op_2324_strides_0"), val = tensor([1])]; tensor var_2324_dilations_0 = const()[name = string("op_2324_dilations_0"), val = tensor([1])]; int32 var_2324_groups_0 = const()[name = string("op_2324_groups_0"), val = int32(1)]; tensor 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); }