novak2

/

testing

like 0

• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_34.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_42.Conv2d",
• "__torch__.___torch_mangle_50.InvertedResidual",
• "__torch__.___torch_mangle_56.MobileNetECA",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_11.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_20.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_43.Sequential",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_5.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_40.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_30.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_12.Sequential",
• "__torch__.torch.nn.modules.activation.Sigmoid",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_46.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_18.Sequential",
• "__torch__.___torch_mangle_13.InvertedResidual",
• "__torch__.torch.nn.modules.container.___torch_mangle_21.Sequential",
• "torch.jit._pickle.build_intlist",
• "__torch__.torch.nn.modules.conv.Conv1d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_45.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_49.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_8.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_55.Linear",
• "__torch__.torch.nn.modules.container.___torch_mangle_9.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_7.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_54.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_48.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_37.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_36.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d",
• "__torch__.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_23.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_51.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_52.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_14.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_25.Conv2d",
• "__torch__.___torch_mangle_22.InvertedResidual",
• "__torch__.___torch_mangle_10.InvertedResidual",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_15.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.conv.___torch_mangle_39.Conv2d",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_17.Conv2d",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_6.BatchNorm2d",
• "__torch__.ECABlock",
• "__torch__.___torch_mangle_41.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_33.Conv2d",
• "__torch__.___torch_mangle_44.InvertedResidual",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_24.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_47.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_38.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_35.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_4.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_16.Conv2d",
• "__torch__.torch.nn.modules.activation.GELU",
• "__torch__.torch.nn.modules.container.___torch_mangle_53.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_1.BatchNorm2d",
• "torch.FloatStorage",
• "__torch__.___torch_mangle_19.InvertedResidual"

How to fix it?