我得到了这个错误在一个代码中实现的PyTORTOR0.3。我正在尝试运行代码,但是我得到了这个错误。
/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
corr4d = model(batch)
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 275, in forward
corr4d = self.NeighConsensus(corr4d)
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.
关于如何解决这个问题的任何想法。
发布于 2022-10-13 03:55:46
如果您正在执行像tensor1 += tensor2这样的操作
试试tensor1.data += tensor2
https://stackoverflow.com/questions/68962973
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