imagenet-benchmark
4d679c2
-
50.7 MB
imagenet-benchmark
ResNet50-ENOT-x2.pth
Detected Pickle imports (16)
- "torch.nn.modules.activation.ReLU",
- "torchvision.models.resnet.ResNet",
- "torch.LongStorage",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch.nn.modules.pooling.AdaptiveAvgPool2d",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.nn.modules.linear.Linear",
- "collections.OrderedDict",
- "__builtin__.set",
- "torch.nn.modules.container.Sequential",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.conv.Conv2d",
- "torch._utils._rebuild_tensor_v2",
- "argparse.Namespace",
- "torch.FloatStorage",
- "torchvision.models.resnet.Bottleneck"
How to fix it?
102 MB
imagenet-benchmark
-
20.9 MB
imagenet-benchmark
ResNet50-ENOT-x4.pth
Detected Pickle imports (16)
- "collections.OrderedDict",
- "torch.LongStorage",
- "torch.nn.modules.conv.Conv2d",
- "torch.nn.modules.container.Sequential",
- "torch.nn.modules.pooling.MaxPool2d",
- "argparse.Namespace",
- "torch.FloatStorage",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.nn.modules.pooling.AdaptiveAvgPool2d",
- "torch.nn.modules.activation.ReLU",
- "torchvision.models.resnet.Bottleneck",
- "torchvision.models.resnet.ResNet",
- "__builtin__.set",
- "torch._utils._rebuild_tensor_v2",
- "torch.nn.modules.linear.Linear"
How to fix it?
62.2 MB
imagenet-benchmark