oscar2525mv

/

melanoma-segmentation-models

like 0

• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_97.Conv2dReLU",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_73.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_57.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_4.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.decoders.unet.decoder.UnetDecoder",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_75.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_8.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_29.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_60.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_72.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_10.MBConvBlock",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_28.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.activation.SiLU",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_32.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_105.Conv2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_82.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_94.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_64.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_25.MBConvBlock",
• "__torch__.torch.nn.modules.padding.___torch_mangle_0.ZeroPad2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_79.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_53.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.padding.___torch_mangle_26.ZeroPad2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_99.Conv2d",
• "__torch__.torch.nn.modules.container.ModuleList",
• "__torch__.segmentation_models_pytorch.decoders.unet.decoder.___torch_mangle_98.UnetDecoderBlock",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_19.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.conv.___torch_mangle_112.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_5.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_68.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_86.Conv2dReLU",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_35.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__torch__.segmentation_models_pytorch.encoders.efficientnet.EfficientNetEncoder",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_37.MBConvBlock",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_66.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_74.MBConvBlock",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_41.MBConvBlock",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_106.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_85.Conv2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_50.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_31.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_59.MBConvBlock",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_65.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_89.Conv2dReLU",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_6.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_18.MBConvBlock",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_103.Conv2dReLU",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_107.Conv2dReLU",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_46.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_24.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_54.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_84.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_91.Conv2dReLU",
• "torch.jit._pickle.restore_type_tag",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_42.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.conv.___torch_mangle_102.Conv2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_61.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_12.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.MBConvBlock",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_62.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_52.MBConvBlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_90.Conv2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_16.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_1.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_13.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_80.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_69.Conv2dStaticSamePadding",
• "collections.OrderedDict",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_78.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_70.MBConvBlock",
• "__torch__.segmentation_models_pytorch.decoders.unet.decoder.___torch_mangle_110.UnetDecoderBlock",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_36.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_9.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_3.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_58.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_71.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_43.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_87.Conv2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_38.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_109.Conv2dReLU",
• "__torch__.segmentation_models_pytorch.base.modules.Attention",
• "torch.jit._pickle.build_intlist",
• "__torch__.torch.nn.modules.linear.Identity",
• "torch.FloatStorage",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_21.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_7.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_39.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_45.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_30.MBConvBlock",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_48.MBConvBlock",
• "__torch__.segmentation_models_pytorch.base.heads.SegmentationHead",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_20.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_22.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_47.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_100.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_93.Conv2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_14.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_67.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_95.Conv2dReLU",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_88.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.base.modules.Conv2dReLU",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_51.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_81.MBConvBlock",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_34.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.segmentation_models_pytorch.decoders.unet.decoder.___torch_mangle_104.UnetDecoderBlock",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_17.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.base.modules.Activation",
• "__torch__.segmentation_models_pytorch.decoders.unet.model.Unet",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_77.Conv2dStaticSamePadding",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_33.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.conv.___torch_mangle_108.Conv2d",
• "__torch__.segmentation_models_pytorch.decoders.unet.decoder.UnetDecoderBlock",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_83.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_27.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.conv.___torch_mangle_96.Conv2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_44.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_76.BatchNorm2d",
• "torch.LongStorage",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_101.Conv2dReLU",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_63.MBConvBlock",
• "__torch__.segmentation_models_pytorch.decoders.unet.decoder.___torch_mangle_92.UnetDecoderBlock",
• "__torch__.torch.nn.modules.padding.ZeroPad2d",
• "__torch__.torch.nn.modules.dropout.Dropout",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_2.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_56.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.activation.ReLU",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_55.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_15.Conv2dStaticSamePadding",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_11.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_40.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_49.Conv2dStaticSamePadding",
• "__torch__.torch.nn.modules.container.___torch_mangle_111.ModuleList",
• "__torch__.segmentation_models_pytorch.encoders._efficientnet.___torch_mangle_23.Conv2dStaticSamePadding",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist",
• "torch.jit._pickle.build_intlist"

How to fix it?