Add gradient sample mode to the logging system #735
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This pull request was exported from Phabricator. Differential Revision: D70255075 |
HuanyuZhang
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Summary: We add gradient sample mode of each submodule to the logging system, which is especially useful information when people want to check the compatibility of complex model architecture. Differential Revision: D70255075
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This pull request was exported from Phabricator. Differential Revision: D70255075 |
HuanyuZhang
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Summary: We add gradient sample mode of each submodule to the logging system, which is especially useful information when people want to check the compatibility of complex model architecture. Differential Revision: D70255075
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This pull request was exported from Phabricator. Differential Revision: D70255075 |
HuanyuZhang
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Feb 27, 2025
Summary: Pull Request resolved: meta-pytorch#735 We add gradient sample mode of each submodule to the logging system, which is especially useful information when people want to check the compatibility of complex model architecture. Differential Revision: D70255075
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HuanyuZhang
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Mar 5, 2025
Summary: We add gradient sample mode of each submodule to the logging system, which is especially useful information when people want to check the compatibility of complex model architecture. Reviewed By: iden-kalemaj Differential Revision: D70255075
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HuanyuZhang
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Mar 5, 2025
Summary: We add gradient sample mode of each submodule to the logging system, which is especially useful information when people want to check the compatibility of complex model architecture. Reviewed By: iden-kalemaj Differential Revision: D70255075
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This pull request was exported from Phabricator. Differential Revision: D70255075 |
HuanyuZhang
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Mar 5, 2025
Summary: Pull Request resolved: meta-pytorch#735 We add gradient sample mode of each submodule to the logging system, which is especially useful information when people want to check the compatibility of complex model architecture. Reviewed By: iden-kalemaj Differential Revision: D70255075
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This pull request was exported from Phabricator. Differential Revision: D70255075 |
HuanyuZhang
added a commit
to HuanyuZhang/opacus
that referenced
this pull request
Mar 5, 2025
Summary: Pull Request resolved: meta-pytorch#735 We add gradient sample mode of each submodule to the logging system, which is especially useful information when people want to check the compatibility of complex model architecture. Reviewed By: iden-kalemaj Differential Revision: D70255075
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HuanyuZhang
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that referenced
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Mar 5, 2025
Summary: We add gradient sample mode of each submodule to the logging system, which is especially useful information when people want to check the compatibility of complex model architecture. Reviewed By: iden-kalemaj Differential Revision: D70255075
727d439 to
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This pull request was exported from Phabricator. Differential Revision: D70255075 |
HuanyuZhang
added a commit
to HuanyuZhang/opacus
that referenced
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Mar 5, 2025
Summary: Pull Request resolved: meta-pytorch#735 We add gradient sample mode of each submodule to the logging system, which is especially useful information when people want to check the compatibility of complex model architecture. Reviewed By: iden-kalemaj Differential Revision: D70255075
e796036 to
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HuanyuZhang
added a commit
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Mar 5, 2025
Summary: We add gradient sample mode of each submodule to the logging system, which is especially useful information when people want to check the compatibility of complex model architecture. Reviewed By: iden-kalemaj Differential Revision: D70255075
5457c7b to
3dadf47
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Summary: Pull Request resolved: meta-pytorch#735 We add gradient sample mode of each submodule to the logging system, which is especially useful information when people want to check the compatibility of complex model architecture. Reviewed By: iden-kalemaj Differential Revision: D70255075
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This pull request has been merged in 86b4ab4. |
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Summary: We add gradient sample mode of each submodule to the logging system, which is especially useful information when people want to check the compatibility of complex model architecture.
Differential Revision: D70255075