dantehrani

/

proteus-models

like 0

• "collections.OrderedDict",
• "__torch__.models.efficientnet_blocks.___torch_mangle_25.InvertedResidual",
• "__torch__.torch.nn.modules.activation.SiLU",
• "__torch__.models.efficientnet_blocks.___torch_mangle_70.SqueezeExcite",
• "__torch__.torch.nn.modules.container.___torch_mangle_78.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_81.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_61.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_48.Conv2d",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.container.___torch_mangle_34.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_71.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_58.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_29.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_60.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "__torch__.models.efficientnet_blocks.___torch_mangle_77.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_74.Conv2d",
• "__torch__.models.efficientnet_blocks.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_62.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_16.Conv2d",
• "__torch__.models.efficientnet_blocks.___torch_mangle_10.SqueezeExcite",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_28.Conv2d",
• "__torch__.models.efficientnet_blocks.___torch_mangle_18.SqueezeExcite",
• "__torch__.torch.nn.modules.conv.___torch_mangle_45.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_7.Conv2d",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_75.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_79.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_65.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_50.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_42.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_14.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_26.Conv2d",
• "__torch__.models.efficientnet_blocks.___torch_mangle_20.InvertedResidual",
• "__torch__.models.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "__torch__.models.efficientnet_blocks.___torch_mangle_72.InvertedResidual",
• "__torch__.models.efficientnet_blocks.___torch_mangle_31.SqueezeExcite",
• "__torch__.torch.nn.modules.conv.___torch_mangle_19.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_23.Conv2d",
• "__torch__.models.efficientnet_blocks.___torch_mangle_57.SqueezeExcite",
• "__torch__.torch.nn.modules.conv.___torch_mangle_35.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_13.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_21.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_30.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_11.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_40.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_5.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_41.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_36.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_49.Conv2d",
• "__torch__.models.efficientnet_blocks.___torch_mangle_59.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_80.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_32.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_54.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_73.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_8.Conv2d",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.torch.nn.modules.conv.___torch_mangle_22.Conv2d",
• "torch.jit._pickle.build_intlist",
• "__torch__.torch.nn.modules.conv.___torch_mangle_39.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_56.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_66.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_68.Conv2d",
• "__torch__.models.efficientnet.EfficientNet",
• "__torch__.models.efficientnet_blocks.SqueezeExcite",
• "__torch__.models.efficientnet_blocks.DepthwiseSeparableConv",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_37.BatchNorm2d",
• "__torch__.models.efficientnet_blocks.___torch_mangle_64.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_15.Conv2d",
• "__torch__.models.efficientnet_blocks.___torch_mangle_33.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_17.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_9.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_67.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_52.Conv2d",
• "torch.FloatStorage",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_27.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_55.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_76.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_6.BatchNorm2d",
• "__torch__.models.efficientnet_blocks.___torch_mangle_44.SqueezeExcite",
• "__torch__.models.efficientnet_blocks.___torch_mangle_38.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_43.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_4.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_63.BatchNorm2d",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.torch.nn.modules.linear.Identity",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1.Conv2d",
• "__torch__.models.efficientnet_blocks.___torch_mangle_51.InvertedResidual",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_53.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_12.BatchNorm2d",
• "__torch__.models.efficientnet_blocks.___torch_mangle_46.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_69.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_24.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_47.Sequential",
• "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?