Replace torch.norm with torch.linalg.vector_norm for PyTorch future update

[namgyu-youn]

Based on https://docs.pytorch.org/docs/stable/generated/torch.norm.html, torch.norm will be deprecated. Therefore, this update replaces torch.norm() with torch.linalg.vector_norm() for the foreseeable future.

• See also : https://github.com/search?q=repo%3Apytorch%2Fao%20.norm(&type=code

[pytorch-bot]

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[jerryzh168]

thanks, according to the linked doc, it looks like there is three functions:

Use torch.linalg.vector_norm() when computing vector norms and torch.linalg.matrix_norm() when computing matrix norms. For a function with a similar behavior as this one see torch.linalg.norm().

and the closest one is torch.linalg.norm() that probably works for both vector and matrix?

[namgyu-youn]

thanks, according to the linked doc, it looks like there is three functions:

Use torch.linalg.vector_norm() when computing vector norms and torch.linalg.matrix_norm() when computing matrix norms. For a function with a similar behavior as this one see torch.linalg.norm().

and the closest one is torch.linalg.norm() that probably works for both vector and matrix?

@jerryzh168 In my last experience, torch.linalg.vector_norm() has better visibility because developers can directly check that it is a vector norm. How about using torch.linalg.vector_norm()?