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Updates to use torchao's updated choose_qparams_affine and quantize/dequantize_affine #11070
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11070
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit 3c9ff0d with merge base 012f571 ( BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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This pull request was exported from Phabricator. Differential Revision: D75228037 |
@jainapurva I think this needs to be accompanied by a torchao pin bump in OSS executorch (checkout the torchao submodule in ET and bump the commit hash) |
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Needs a pin bump
This pull request was exported from Phabricator. Differential Revision: D75228037 |
…equantize_affine (pytorch#11070) Summary: Pull Request resolved: pytorch#11070 Updates to use torchao's updated choose_qparams_affine and quantize/dequantize_affine without the zero_point_domain arg Differential Revision: D75228037
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This pull request was exported from Phabricator. Differential Revision: D75228037 |
…equantize_affine (pytorch#11070) Summary: Pull Request resolved: pytorch#11070 Updates to use torchao's updated choose_qparams_affine and quantize/dequantize_affine without the zero_point_domain arg Differential Revision: D75228037
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This pull request was exported from Phabricator. Differential Revision: D75228037 |
…equantize_affine (pytorch#11070) Summary: Pull Request resolved: pytorch#11070 Updates to use torchao's updated choose_qparams_affine and quantize/dequantize_affine without the zero_point_domain arg Differential Revision: D75228037
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This pull request was exported from Phabricator. Differential Revision: D75228037 |
…equantize_affine (pytorch#11070) Summary: Pull Request resolved: pytorch#11070 Updates to use torchao's updated choose_qparams_affine and quantize/dequantize_affine without the zero_point_domain arg Differential Revision: D75228037
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This pull request was exported from Phabricator. Differential Revision: D75228037 |
…equantize_affine (pytorch#11070) Summary: Pull Request resolved: pytorch#11070 Updates to use torchao's updated choose_qparams_affine and quantize/dequantize_affine without the zero_point_domain arg Differential Revision: D75228037
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@jainapurva has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
@metascroy please take a look again |
@jainapurva has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
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@jainapurva has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
This pull request was exported from Phabricator. Differential Revision: D75228037 |
…equantize_affine (pytorch#11070) Summary: Updates to use torchao's updated choose_qparams_affine and quantize/dequantize_affine. Remove zero_point_domain dependency Pull Request resolved: pytorch#11070 Reviewed By: mcr229 Differential Revision: D75228037 Pulled By: jainapurva
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@jainapurva has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
…equantize_affine (pytorch#11070) Summary: Updates to use torchao's updated choose_qparams_affine and quantize/dequantize_affine. Remove zero_point_domain dependency Pull Request resolved: pytorch#11070 Reviewed By: mcr229 Differential Revision: D75228037 Pulled By: jerryzh168
This pull request was exported from Phabricator. Differential Revision: D75228037 |
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Summary: Updates to use torchao's updated choose_qparams_affine and quantize/dequantize_affine. Remove zero_point_domain dependency
Differential Revision: D75228037