subnet31

/

modelv10

Like 0

Follow

homeless 1

• "__torch__.torch.nn.modules.conv.___torch_mangle_7.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_13.Sequential",
• "torch.LongStorage",
• "__torch__.model.densenet.___torch_mangle_6.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d",
• "torch.jit._pickle.build_intlist",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_1.BatchNorm2d",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_10.BatchNorm2d",
• "__torch__.model.densenet.DenseNetWithDepthwiseSeparable",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_29.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_19.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_8.Conv2d",
• "__torch__.model.densenet.___torch_mangle_28.Bottleneck",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_32.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_38.BatchNorm2d",
• "__torch__.model.densenet.___torch_mangle_16.Transition",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_26.BatchNorm2d",
• "__torch__.model.densenet.Transition",
• "__torch__.model.densenet.___torch_mangle_22.Transition",
• "__torch__.torch.nn.modules.conv.___torch_mangle_15.Conv2d",
• "__torch__.model.densenet.___torch_mangle_37.Bottleneck",
• "__torch__.torch.nn.modules.container.___torch_mangle_41.Sequential",
• "__torch__.model.densenet.___torch_mangle_40.Bottleneck",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_42.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_17.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_24.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_5.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_33.Conv2d",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_30.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.FloatStorage",
• "__torch__.model.densenet.___torch_mangle_9.Bottleneck",
• "__torch__.model.densenet.___torch_mangle_18.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_39.Conv2d",
• "__torch__.model.densenet.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_36.Conv2d",
• "__torch__.model.densenet.___torch_mangle_34.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_27.Conv2d",
• "__torch__.model.densenet.DepthwiseSeparableConv",
• "__torch__.model.densenet.___torch_mangle_12.Bottleneck",
• "__torch__.model.densenet.___torch_mangle_25.Bottleneck",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_14.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_21.Conv2d",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_11.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_20.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_23.BatchNorm2d",
• "__torch__.model.densenet.___torch_mangle_31.Bottleneck",
• "__torch__.torch.nn.modules.linear.Linear",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_35.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_4.BatchNorm2d"

How to fix it?