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I faced unexpected behavior that was not described in README file or docstrings.
As i understand from C++ code, it is assumed that the input tensors are presented in the memory contiguously. However big tensors can be stored by torch in different places of memory.
One can easily overcome the issue using torch.Tensor.contiguous.
Please, note this in the README file.
The text was updated successfully, but these errors were encountered:
I faced unexpected behavior that was not described in README file or docstrings.
As i understand from C++ code, it is assumed that the input tensors are presented in the memory contiguously. However big tensors can be stored by torch in different places of memory.
One can easily overcome the issue using torch.Tensor.contiguous.
Please, note this in the README file.
The text was updated successfully, but these errors were encountered: