RuntimeError: tensor size mismatch about neuraltexture

[SSRSGJYD]

It is a bug caused by Pytorch broadcasting semantics. It should be:

basis = basis.view(basis.shape[0], basis.shape[1], 1, 1)
x [:, 3:12,:,:] = x [:, 3:12,:,:] * basis

[fastcode3d]

Thank you for your reply. I just tried to transform the dimension, but the operation still reported an error:

Traceback (most recent call last):
File "train.py", line 140, in
main()
File "train.py", line 129, in main
loss.backward()
File "/lib/python3.7/site-packages/torch/tensor.py", line 102, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph)
File "/lib/python3.7/site-packages/torch/autograd/init.py", line 90, in backward
allow_unreachable=True) # allow_unreachable flag
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation

Is this the cause of the torch version? I install according to the requirements

[szulm]

the same question

Thank you for your reply. I just tried to transform the dimension, but the operation still reported an error:

Traceback (most recent call last):
File "train.py", line 140, in
main()
File "train.py", line 129, in main
loss.backward()
File "/lib/python3.7/site-packages/torch/tensor.py", line 102, in backward torch.autograd.backward(self, gradient, retain_graph, create_graph) File "/lib/python3.7/site-packages/torch/autograd/init.py", line 90, in backward
allow_unreachable=True) # allow_unreachable flag
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation

Is this the cause of the torch version? I install according to the requirements

[SSRSGJYD]

This error occurs because of inplace operation. To solve the problem, instead of allocating new values to x, you can create a new variable.