Fetching metadata from the HF Docker repository... - 270 MB let's go (#2)
- 7.74 kB let's go (#2)
swin_imagenet.pt Detected Pickle imports (20)
- "timm.models.layers.drop.DropPath",
- "torch.nn.modules.activation.GELU",
- "torch._utils._rebuild_parameter",
- "__main__.WindowAttention",
- "torch.FloatStorage",
- "torch.nn.modules.dropout.Dropout",
- "__main__.Mlp",
- "collections.OrderedDict",
- "torch._utils._rebuild_tensor_v2",
- "torch.LongStorage",
- "__main__.BasicLayer",
- "__builtin__.set",
- "torch.nn.modules.linear.Linear",
- "torch.nn.modules.container.ModuleList",
- "torch.nn.modules.activation.Softmax",
- "torch.nn.modules.container.Sequential",
- "torch.nn.modules.normalization.LayerNorm",
- "__main__.PatchMerging",
- "__main__.SwinTransformerBlock",
- "torch.nn.modules.activation.ReLU"
How to fix it?
196 MB let's go (#2) vph_imagenet.pt Detected Pickle imports (15)
- "torch.nn.modules.activation.GELU",
- "torch.nn.modules.container.Sequential",
- "dtd.VPH",
- "torch._utils._rebuild_tensor_v2",
- "torch.nn.modules.conv.Conv2d",
- "__builtin__.set",
- "torch.nn.modules.linear.Identity",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.container.ModuleList",
- "dtd.LayerNorm",
- "timm.models.layers.drop.DropPath",
- "torch.FloatStorage",
- "collections.OrderedDict",
- "torch.nn.modules.linear.Linear",
- "dtd.ConvBlock"
How to fix it?
5 MB let's go (#2)