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requires_grad=True) >>> h = v.register_hook(lambda grad: grad * 2) ... raise RuntimeError("cannot register a hook on a tensor that " "doesn't require ...

cannot resize variables that require grad. error. I can fall back to from torch.autograd._functions import Resize Resize.apply(t, (1, 2, 3)).

06.09.2019 · cannot resize variables that require grad. 错误。 我可以回到. from torch.autograd._functions import Resize Resize.apply(t, (1, 2, 3)) 是tensor.resize（）的作用，以避免弃用警告。 这似乎不是一个合适的解决方案，而是对我来说是一个黑客攻击。 我如何正确使用 tensor.resize_() 在这种情况下？

a `Variable` tensor In [15]: ten = torch.randn(6, requires_grad=True) # this ... 3) RuntimeError: cannot resize variables that require grad.

06.09.2019 · cannot resize variables that require grad. 錯誤。 我可以迴到. from torch.autograd._functions import Resize Resize.apply(t, (1, 2, 3)) 是tensor.resize（）的作用，以避免棄用警告。 這似乎不是一个合適的解決方案，而是對我来說是一个黑客攻击。 我如何正確使用 tensor.resize_() 在這種情况下？

cannot resize variables that require grad. error. I can fall back to from torch.autograd._functions import Resize Resize.apply(t, (1, 2, 3)).

12.03.2020 · Traceback (most recent call last): File "pytorch_test.py", line 21, in <module> a_copy.resize_(1, 1) RuntimeError: cannot resize variables that require grad Similar questions I have looked at Resize PyTorch Tensor but it the tensor in that example retains all original values.

Hi Zhirong, I met the following error when running this code with pytorch 0.4.0: File "lib/NCEAverage.py", line 27, ...

a `Variable` tensor In [15]: ten = torch.randn(6, requires_grad=True) # this ... 1 ten.resize_(2, 3) RuntimeError: cannot resize variables that require grad ...

python - 使用 grad 将 PyTorch 张量调整为更小的尺寸. Traceback (most recent call last ): File "pytorch_test.py", line 14, in < module > a_copy.resize_ ( 1, 1 ) RuntimeError: set_sizes_contiguous is not allowed on a Tensor created from .data or .detach (). If your intent is to change the metadata of a Tensor (such as sizes / strides ...

You can instead choose to go with tensor.reshape(new_shape) or torch.reshape(tensor, new_shape) as in: # a `Variable` tensor In [15]: ten = torch.randn(6, requi

19.02.2020 · However, I had already done t.resize_(size) with a torch.no_grad() when it failed. Is there a way to inplace resize a variable that requires grad? I will be resizing the tensor during backward pass again before calculating gradients, so I don’t think there will be a problem regarding gradients. Thanks!

I would like to resize inplace a variable that requires grad. Using t.resize_(size) fails with an error RuntimeError: cannot resize ...

Traceback (most recent call last): File "pytorch_test.py", line 7, in <module> a_copy.resize_(1, 1) RuntimeError: cannot resize variables that require grad

a `Variable` tensor In [15]: ten = torch.randn(6, requires_grad=True) # this ... 3) RuntimeError: cannot resize variables that require grad ...

因此,我想切换到tensor.resize_()函数,这似乎是适当的就地替换.但是,这让我有了一个. cannot resize variables that require grad.