Implement torch.as_tensor, similar to numpy.asarray.#7109
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torch.as_tensor behaves like torch.tensor except it avoids copies if possible; so also somewhat like tensor.new but without the size overloads. I didn't add a requires_grad field, because we haven't decided on the semantics such as as_param.
ezyang
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May 1, 2018
fmassa
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May 1, 2018
| add_docstr(torch.as_tensor, | ||
| r""" | ||
| as_tensor(data, dtype=None, device=None, requires_grad=False) -> Tensor | ||
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Jorghi12
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May 10, 2018
* Implement torch.as_tensor, similar to numpy.asarray. torch.as_tensor behaves like torch.tensor except it avoids copies if possible; so also somewhat like tensor.new but without the size overloads. I didn't add a requires_grad field, because we haven't decided on the semantics such as as_param. * Remove requires_grad for doc.
weiyangfb
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* Implement torch.as_tensor, similar to numpy.asarray. torch.as_tensor behaves like torch.tensor except it avoids copies if possible; so also somewhat like tensor.new but without the size overloads. I didn't add a requires_grad field, because we haven't decided on the semantics such as as_param. * Remove requires_grad for doc.
laurentdupin
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Apr 24, 2026
* Implement torch.as_tensor, similar to numpy.asarray. torch.as_tensor behaves like torch.tensor except it avoids copies if possible; so also somewhat like tensor.new but without the size overloads. I didn't add a requires_grad field, because we haven't decided on the semantics such as as_param. * Remove requires_grad for doc.
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torch.as_tensor behaves like torch.tensor except it avoids copies if possible; so also somewhat like tensor.new but without the size overloads.
I didn't add a requires_grad field, because we haven't decided on the semantics such as as_param.