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Refactor based on recent torch tensor view support #1816

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@jianyuh jianyuh commented Jun 9, 2023

Summary:
torch.view recently added reinterpret_cast dtype support:

https://pytorch.org/docs/stable/generated/torch.Tensor.view.html

Previously we have to rely on numpy, which introduces the extra H2D/D2H overhead.

Differential Revision: D46585543

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This pull request was exported from Phabricator. Differential Revision: D46585543

jianyuh added a commit to jianyuh/FBGEMM that referenced this pull request Jun 9, 2023
Summary:
Pull Request resolved: pytorch#1816

torch.view recently added reinterpret_cast dtype support:

https://pytorch.org/docs/stable/generated/torch.Tensor.view.html

Previously we have to rely on numpy, which introduces the extra H2D/D2H overhead.

Differential Revision: D46585543

fbshipit-source-id: 63eb13341732d7f7c5d5d2448b7c577b94fd9e91
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This pull request was exported from Phabricator. Differential Revision: D46585543

jianyuh added a commit to jianyuh/FBGEMM that referenced this pull request Jun 9, 2023
Summary:
Pull Request resolved: pytorch#1816

torch.view recently added reinterpret_cast dtype support:

https://pytorch.org/docs/stable/generated/torch.Tensor.view.html

Previously we have to rely on numpy, which introduces the extra H2D/D2H overhead.

Differential Revision: D46585543

fbshipit-source-id: af3ddbf46559f6ff736c4158c2ba3b8f269601bc
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This pull request was exported from Phabricator. Differential Revision: D46585543

Summary:
Pull Request resolved: pytorch#1816

torch.view recently added reinterpret_cast dtype support:

https://pytorch.org/docs/stable/generated/torch.Tensor.view.html

Previously we have to rely on numpy, which introduces the extra H2D/D2H overhead.

Reviewed By: sryap

Differential Revision: D46585543

fbshipit-source-id: a1d4e792e61c15c71bb36d47a574d2c052e0a02f
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This pull request was exported from Phabricator. Differential Revision: D46585543

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This pull request has been merged in 1476a20.

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