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Introduce the get_fake_quant_model API #12997
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/12997
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ❌ 1 New FailureAs of commit 78f78b3 with merge base 8651d31 ( NEW FAILURE - The following job has failed:
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This pull request was exported from Phabricator. Differential Revision: D79105110 |
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Summary: As titled. This way, people can get the converted model with quantized numerics and use it to compare with implementation outputs. Differential Revision: D79105110
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Summary: As titled. This way, people can get the converted model with quantized numerics and use it to compare with implementation outputs. Differential Revision: D79105110
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Summary: Pull Request resolved: #12997 As titled. This way, people can get the converted model with quantized numerics and use it to compare with implementation outputs. Differential Revision: D79105110
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This pull request was exported from Phabricator. Differential Revision: D79105110 |
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Summary: Pull Request resolved: #12997 As titled. This way, people can get the converted model with quantized numerics and use it to compare with implementation outputs. Differential Revision: D79105110
This pull request was exported from Phabricator. Differential Revision: D79105110 |
Summary: As titled. This way, people can get the converted model with quantized numerics and use it to compare with implementation outputs. Reviewed By: zonglinpeng Differential Revision: D79105110
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This pull request was exported from Phabricator. Differential Revision: D79105110 |
Summary: As titled. This way, people can get the converted model with quantized numerics and use it to compare with implementation outputs. Reviewed By: zonglinpeng Differential Revision: D79105110
be15d9f
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Summary: Pull Request resolved: #12997 As titled. This way, people can get the converted model with quantized numerics and use it to compare with implementation outputs. Reviewed By: zonglinpeng Differential Revision: D79105110
This pull request was exported from Phabricator. Differential Revision: D79105110 |
4484c2c
to
78f78b3
Compare
Differential Revision: D79105110 Pull Request resolved: pytorch#12997
Summary: As titled. This way, people can get the converted model with quantized numerics and use it to compare with implementation outputs.
Differential Revision: D79105110