mattaq

/

GelGenie-LowRes-Dec-2023

like 0

• "__torch__.segmentation_models_pytorch.decoders.unet.decoder.___torch_mangle_94.DecoderBlock",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_53.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_9.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_87.Attention",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_104.Conv2dReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_92.Identity",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_17.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_36.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_44.BatchNorm2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_73.Identity",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_47.BatchNorm2d",
• "__torch__.gelgenie.segmentation.networks.UNets.model_gateway.smp_UNet",
• "__torch__.torch.nn.modules.conv.___torch_mangle_32.Conv2d",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_119.Attention",
• "__torch__.segmentation_models_pytorch.base.modules.Attention",
• "__torch__.segmentation_models_pytorch.decoders.unet.decoder.DecoderBlock",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_78.Conv2dReLU",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_113.Attention",
• "__torch__.torchvision.models.resnet.___torch_mangle_51.BasicBlock",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_12.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_56.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_114.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_99.Identity",
• "__torch__.torch.nn.modules.container.___torch_mangle_58.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_101.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_112.Identity",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_80.Attention",
• "__torch__.torch.nn.modules.linear.___torch_mangle_86.Identity",
• "__torch__.torch.nn.modules.conv.___torch_mangle_39.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_115.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_95.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_25.BasicBlock",
• "__torch__.torchvision.models.resnet.___torch_mangle_35.BasicBlock",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_96.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_52.Conv2d",
• "__torch__.segmentation_models_pytorch.decoders.unet.decoder.___torch_mangle_107.DecoderBlock",
• "__torch__.torch.nn.modules.container.___torch_mangle_18.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_40.BatchNorm2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_2.ReLU",
• "__torch__.torchvision.models.resnet.___torch_mangle_57.BasicBlock",
• "__torch__.torchvision.models.resnet.___torch_mangle_10.BasicBlock",
• "__torch__.segmentation_models_pytorch.decoders.unet.decoder.UnetDecoder",
• "__torch__.torch.nn.modules.conv.___torch_mangle_8.Conv2d",
• "__torch__.segmentation_models_pytorch.base.modules.Conv2dReLU",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_28.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_76.BatchNorm2d",
• "__torch__.torch.nn.modules.activation.ReLU",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_43.Conv2d",
• "__torch__.torch.nn.modules.pooling.MaxPool2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_4.BatchNorm2d",
• "__torch__.torch.nn.modules.container.ModuleList",
• "__torch__.torch.nn.modules.activation.___torch_mangle_116.ReLU",
• "__torch__.torch.nn.modules.container.___torch_mangle_34.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_37.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.base.modules.Activation",
• "__torch__.torch.nn.modules.container.___torch_mangle_42.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_50.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_1.BatchNorm2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_90.ReLU",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.torch.nn.modules.linear.___torch_mangle_105.Identity",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_91.Conv2dReLU",
• "__torch__.torch.nn.modules.linear.___torch_mangle_123.Identity",
• "__torch__.torch.nn.modules.conv.___torch_mangle_46.Conv2d",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.conv.___torch_mangle_14.Conv2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_97.ReLU",
• "__torch__.torch.nn.modules.activation.___torch_mangle_22.ReLU",
• "__torch__.torchvision.models.resnet.BasicBlock",
• "__torch__.segmentation_models_pytorch.encoders.resnet.ResNetEncoder",
• "__torch__.torch.nn.modules.conv.___torch_mangle_16.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_19.BasicBlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_48.Conv2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_29.ReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_121.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_27.Conv2d",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_72.Conv2dReLU",
• "__torch__.segmentation_models_pytorch.decoders.unet.decoder.___torch_mangle_81.DecoderBlock",
• "__torch__.torch.nn.modules.activation.___torch_mangle_61.ReLU",
• "__torch__.torch.nn.modules.linear.___torch_mangle_79.Identity",
• "__torch__.torch.nn.modules.conv.___torch_mangle_55.Conv2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_103.ReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_63.Conv2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_77.ReLU",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_6.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_106.Attention",
• "__torch__.segmentation_models_pytorch.base.heads.SegmentationHead",
• "__torch__.torch.nn.modules.linear.___torch_mangle_67.Identity",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_64.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_85.Conv2dReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_108.Conv2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_84.ReLU",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_60.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_15.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_88.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_102.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_23.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_30.Conv2d",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_93.Attention",
• "__torch__.torch.nn.modules.conv.___torch_mangle_20.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_118.Identity",
• "__torch__.torch.nn.modules.linear.Identity",
• "__torch__.torch.nn.modules.activation.___torch_mangle_71.ReLU",
• "__torch__.torch.nn.modules.activation.___torch_mangle_54.ReLU",
• "__torch__.torch.nn.modules.container.___torch_mangle_26.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_82.Conv2d",
• "torch.FloatStorage",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_49.BatchNorm2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_62.Identity",
• "__torch__.torch.nn.modules.linear.___torch_mangle_122.Identity",
• "__torch__.torch.nn.modules.activation.___torch_mangle_38.ReLU",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_66.Conv2dReLU",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_31.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_68.Attention",
• "__torch__.torch.nn.modules.conv.___torch_mangle_69.Conv2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_65.ReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_59.Conv2d",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_74.Attention",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_111.Conv2dReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_5.Conv2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_110.ReLU",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_70.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_109.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_24.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_89.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_117.Conv2dReLU",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_21.BatchNorm2d",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_98.Conv2dReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_83.BatchNorm2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_7.ReLU",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_100.Attention",
• "__torch__.torch.nn.modules.activation.___torch_mangle_45.ReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_75.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_11.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_41.BasicBlock",
• "__torch__.segmentation_models_pytorch.decoders.unet.decoder.___torch_mangle_120.DecoderBlock",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_33.BatchNorm2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_13.ReLU"

How to fix it?