Replaced "from_numpy" with "as_tensor" in docs.#16587
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Summary: In the warning box on https://pytorch.org/docs/stable/tensors.html#torch.Tensor.new_tensor it says: > new_tensor() always copies data. [...] If you have a numpy array and want to avoid a copy, use **torch.from_numpy()**. But then further up the page we have another warning box with the message: > torch.tensor() always copies data. [...] If you have a numpy array and want to avoid a copy, use **torch.as_tensor()**. Now I believe this is just a small oversight, since from_numpy is to be deprecated in favour of as_tensor. See for example pytorch#6885 and pytorch#8611. I suggest to just use **torch.as_tensor()** in both of the warning boxes. cc gchanan Pull Request resolved: pytorch#16587 Differential Revision: D13897038 Pulled By: gchanan fbshipit-source-id: 2eb3cd47d2c0b5bf4350f980de3be9fe59b4a846
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📚 Documentation
In the warning box on https://pytorch.org/docs/stable/tensors.html#torch.Tensor.new_tensor it says:
But then further up the page we have another warning box with the message:
Now I believe this is just a small oversight, since from_numpy is to be deprecated in favour of as_tensor. See for example #6885 and #8611. I suggest to just use torch.as_tensor() in both of the warning boxes.
cc @gchanan