rafay

/

upside_down_detector

like 0

• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.conv.Conv2d",
• "torch._utils._rebuild_tensor_v2",
• "pytorch_cifar_models.resnet.CifarResNet",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.linear.Linear",
• "torch.FloatStorage",
• "torch.LongStorage",
• "torch.nn.modules.activation.ReLU",
• "torch._utils._rebuild_parameter",
• "__builtin__.set",
• "pytorch_cifar_models.resnet.BasicBlock",
• "collections.OrderedDict"

How to fix it?

• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_10.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_9.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_12.Conv2d",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1.Conv2d",
• "torch.FloatStorage",
• "__torch__.pytorch_cifar_models.resnet.BasicBlock",
• "__torch__.torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.pytorch_cifar_models.resnet.___torch_mangle_7.BasicBlock",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "__torch__.pytorch_cifar_models.resnet.___torch_mangle_14.BasicBlock",
• "__torch__.torch.nn.modules.container.___torch_mangle_13.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_4.Conv2d",
• "__torch__.torch.nn.modules.activation.ReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d",
• "__torch__.pytorch_cifar_models.resnet.___torch_mangle_15.BasicBlock",
• "__torch__.pytorch_cifar_models.resnet.CifarResNet",
• "__torch__.torch.nn.modules.container.___torch_mangle_5.Sequential",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_2.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_16.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_8.Sequential",
• "torch.jit._pickle.build_intlist",
• "__torch__.pytorch_cifar_models.resnet.___torch_mangle_6.BasicBlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_11.Conv2d"

How to fix it?