Fetching metadata from the HF Docker repository...
-
__pycache__
111
-
1.52 kB
initial commit
-
65 Bytes
111
-
1.37 kB
Create Dockerfile
-
259 Bytes
1
-
1.26 kB
111
-
12.9 kB
111
-
1.87 kB
111
-
473 Bytes
1
-
20 Bytes
111
-
35.7 MB
app.py
torchscript_model_0_66_49_wo_gl.pth
Detected Pickle imports (50)
- "__torch__.torch.nn.modules.pooling.MaxPool2d",
- "__torch__.torch.nn.modules.batchnorm.___torch_mangle_2.BatchNorm2d",
- "__torch__.torch.nn.modules.batchnorm.___torch_mangle_8.BatchNorm2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_16.Conv2d",
- "__torch__.___torch_mangle_21.ResNetIdentityBlock",
- "__torch__.Conv2dSame",
- "__torch__.torch.nn.modules.conv.___torch_mangle_9.Conv2d",
- "__torch__.torch.nn.modules.batchnorm.___torch_mangle_5.BatchNorm2d",
- "__torch__.torch.nn.modules.conv.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_18.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_29.Conv2d",
- "__torch__.ResNetConvBlock",
- "collections.OrderedDict",
- "__torch__.torch.nn.modules.conv.___torch_mangle_1.Conv2d",
- "__torch__.torch.nn.modules.linear.Linear",
- "__torch__.torch.nn.modules.batchnorm.___torch_mangle_17.BatchNorm2d",
- "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_27.Conv2d",
- "__torch__.torch.nn.modules.dropout.Dropout",
- "__torch__.torch.nn.modules.conv.___torch_mangle_25.Conv2d",
- "__torch__.torch.nn.modules.container.___torch_mangle_31.Sequential",
- "__torch__.torch.nn.modules.batchnorm.___torch_mangle_26.BatchNorm2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_23.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_4.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_20.Conv2d",
- "__torch__.___torch_mangle_24.Conv2dSame",
- "__torch__.___torch_mangle_10.ResNetConvBlock",
- "torch.FloatStorage",
- "__torch__.EmoAffectNetPytorchModel",
- "__torch__.___torch_mangle_6.Conv2dSame",
- "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
- "__torch__.___torch_mangle_28.ResNetConvBlock",
- "torch.LongStorage",
- "torch.jit._pickle.build_intlist",
- "__torch__.torch.nn.modules.activation.ReLU",
- "__torch__.torch.nn.modules.container.Sequential",
- "__torch__.torch.nn.modules.linear.___torch_mangle_32.Linear",
- "torch._utils._rebuild_tensor_v2",
- "__torch__.ResNetIdentityBlock",
- "__torch__.torch.nn.modules.container.___torch_mangle_13.Sequential",
- "__torch__.___torch_mangle_19.ResNetConvBlock",
- "__torch__.torch.nn.modules.conv.___torch_mangle_14.Conv2d",
- "__torch__.torch.nn.modules.container.___torch_mangle_22.Sequential",
- "__torch__.___torch_mangle_30.ResNetIdentityBlock",
- "__torch__.___torch_mangle_0.Conv2dSame",
- "__torch__.___torch_mangle_12.ResNetIdentityBlock",
- "__torch__.torch.nn.modules.conv.___torch_mangle_7.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_11.Conv2d",
- "__torch__.___torch_mangle_15.Conv2dSame"
How to fix it?
98.6 MB
Upload torchscript_model_0_66_49_wo_gl.pth
-
10.8 MB
app.py
-
4.19 MB
app.py