Add multi-gpu support for DP#166
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Summary: Pull Request resolved: meta-pytorch#166 Gaussian noise is seeded to make sure each worker adds the same Gaussian noise. Speed: 950 img/s/GPU for {1,2} GPUs for Resnet-18 on 56*56 images. Reviewed By: Darktex Differential Revision: D24729467 fbshipit-source-id: dba68513e1d6d891ce2e38021bd0370d7ed1cf06
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This pull request was exported from Phabricator. Differential Revision: D24729467 |
alexandresablayrolles
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Apr 16, 2021
Summary: Pull Request resolved: meta-pytorch#166 Gaussian noise is seeded to make sure each worker adds the same Gaussian noise. Speed: 950 img/s/GPU for {1,2} GPUs for Resnet-18 on 56*56 images. Reviewed By: Darktex Differential Revision: D24729467 fbshipit-source-id: f9f285ebef99e9710574fe96c86dc72eb7a106af
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This pull request was exported from Phabricator. Differential Revision: D24729467 |
alexandresablayrolles
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Apr 16, 2021
Summary: Pull Request resolved: meta-pytorch#166 Gaussian noise is seeded to make sure each worker adds the same Gaussian noise. Speed: 950 img/s/GPU for {1,2} GPUs for Resnet-18 on 56*56 images. Reviewed By: Darktex Differential Revision: D24729467 fbshipit-source-id: 05dd4bfeb59b6f5b814323255d4b332dc5427f13
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Summary: Pull Request resolved: meta-pytorch#166 Gaussian noise is seeded to make sure each worker adds the same Gaussian noise. Speed: 950 img/s/GPU for {1,2} GPUs for Resnet-18 on 56*56 images. Reviewed By: Darktex Differential Revision: D24729467 fbshipit-source-id: d79d628b996770c07362f689ea6c66c6cbeab209
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Summary: Pull Request resolved: meta-pytorch#166 Gaussian noise is seeded to make sure each worker adds the same Gaussian noise. Speed: 950 img/s/GPU for {1,2} GPUs for Resnet-18 on 56*56 images. Reviewed By: Darktex Differential Revision: D24729467 fbshipit-source-id: d10f0dfd09fdd83a82e3611dcffdcbf008e37a2e
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This pull request was exported from Phabricator. Differential Revision: D24729467 |
alexandresablayrolles
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Apr 21, 2021
Summary: Pull Request resolved: meta-pytorch#166 Gaussian noise is seeded to make sure each worker adds the same Gaussian noise. Speed: 950 img/s/GPU for {1,2} GPUs for Resnet-18 on 56*56 images. Reviewed By: Darktex Differential Revision: D24729467 fbshipit-source-id: 765a38f26b904387e6bc0241c845e698ca0d8b93
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Summary: Pull Request resolved: meta-pytorch#166 Gaussian noise is seeded to make sure each worker adds the same Gaussian noise. Speed: 950 img/s/GPU for {1,2} GPUs for Resnet-18 on 56*56 images. Reviewed By: Darktex Differential Revision: D24729467 fbshipit-source-id: 6effafe5ad094bddbd0f5b50edf6c31758b79d99
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This pull request has been merged in da8f3fd. |
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Summary:
Gaussian noise is seeded to make sure each worker adds the same Gaussian noise.
Speed: 950 img/s/GPU for {1,2} GPUs for Resnet-18 on 56*56 images.
Reviewed By: Darktex
Differential Revision: D24729467