hungkvbn

/

128hk6v15

like 0

• "__torch__.torch.nn.modules.conv.___torch_mangle_10.Conv2d",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.container.___torch_mangle_27.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_12.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_9.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_20.BatchNorm2d",
• "__torch__.model.resnext_dynamic.DynamicResNeXt",
• "__torch__.model.resnext_dynamic.___torch_mangle_25.DynamicResNeXtBottleneck",
• "__torch__.torch.nn.modules.container.___torch_mangle_18.Sequential",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.container.___torch_mangle_22.Sequential",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.torch.nn.modules.conv.___torch_mangle_21.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_16.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2.Conv2d",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.linear.Linear",
• "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_11.Conv2d",
• "__torch__.model.resnext_dynamic.___torch_mangle_23.DynamicResNeXtBottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_19.Conv2d",
• "__torch__.torch.nn.modules.container.Sequential",
• "torch.jit._pickle.build_intlist",
• "__torch__.model.resnext_dynamic.DynamicResNeXtBottleneck",
• "__torch__.model.resnext_dynamic.___torch_mangle_15.DynamicResNeXtBottleneck",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_4.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_1.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_6.Conv2d",
• "__torch__.model.resnext_dynamic.___torch_mangle_17.DynamicResNeXtBottleneck",
• "__torch__.torch.nn.modules.container.___torch_mangle_26.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_5.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_24.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_7.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_13.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_14.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "__torch__.model.resnext_dynamic.___torch_mangle_8.DynamicResNeXtBottleneck"

How to fix it?