ncnet
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RuntimeError: a view of a leaf Variable that requires grad is being used in an in-place operation.
/usr/local/lib/python3.7/dist-packages/torch/nn/functional.py:4044: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
"Default grid_sample and affine_grid behavior has changed "
/usr/local/lib/python3.7/dist-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1156.)
return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode)
Traceback (most recent call last):
File "eval_pf_pascal.py", line 73, in
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "/content/ncnet/lib/model.py", line 147, in forward
x = self.conv(x)+self.conv(x.permute(0,1,4,5,2,3)).permute(0,1,4,5,2,3)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/container.py", line 139, in forward
input = module(input)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "/content/ncnet/lib/conv4d.py", line 126, in forward
use_half=self.use_half,
File "/content/ncnet/lib/conv4d.py", line 52, in conv4d
padding=padding,
RuntimeError: a view of a leaf Variable that requires grad is being used in an in-place operation.
Any idea on how to resolve this.