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Update XNNPACK library to et_v20 #2770
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/2770
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New FailureAs of commit 40a2d89 with merge base 76bf854 ( NEW FAILURE - The following job has failed:
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This pull request was exported from Phabricator. Differential Revision: D55537663 |
Summary: From et_v18 to et_v19 * k_stride scaling fix for 4b weight * qd8 quant param fix for memory planning Differential Revision: D55537663
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This pull request was exported from Phabricator. Differential Revision: D55537663 |
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Please ensure all tests pass before landing (or at least a superset of tests passing before landing, partial progress > no progress)
This pull request was exported from Phabricator. Differential Revision: D55537663 |
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Summary: Pull Request resolved: pytorch#2770 https://github.com/digantdesai/XNNPACK/releases/tag/et_v19 From et_v18 to et_v19 * k_stride scaling fix for 4b weight * qd8 quant param fix for memory planning From et_v19 to et_v20 * update qd8_f32_qb4w operator test harness Reviewed By: mikekgfb Differential Revision: D55537663
Summary: Pull Request resolved: pytorch#2770 https://github.com/digantdesai/XNNPACK/releases/tag/et_v19 From et_v18 to et_v19 * k_stride scaling fix for 4b weight * qd8 quant param fix for memory planning From et_v19 to et_v20 * update qd8_f32_qb4w operator test harness Differential Revision: https://internalfb.com/D55537663
Summary: Pull Request resolved: pytorch#2770 https://github.com/digantdesai/XNNPACK/releases/tag/et_v19 From et_v18 to et_v19 * k_stride scaling fix for 4b weight * qd8 quant param fix for memory planning From et_v19 to et_v20 * update qd8_f32_qb4w operator test harness Differential Revision: https://internalfb.com/D55537663
Summary: Pull Request resolved: pytorch#2770 https://github.com/digantdesai/XNNPACK/releases/tag/et_v19 From et_v18 to et_v19 * k_stride scaling fix for 4b weight * qd8 quant param fix for memory planning From et_v19 to et_v20 * update qd8_f32_qb4w operator test harness Reviewed By: mikekgfb Differential Revision: D55537663
Summary: Pull Request resolved: pytorch#2770 https://github.com/digantdesai/XNNPACK/releases/tag/et_v19 From et_v18 to et_v19 * k_stride scaling fix for 4b weight * qd8 quant param fix for memory planning From et_v19 to et_v20 * update qd8_f32_qb4w operator test harness Differential Revision: https://internalfb.com/D55537663
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This pull request was exported from Phabricator. Differential Revision: D55537663 |
This pull request has been merged in d17864d. |
Summary:
From et_v18 to et_v19
Differential Revision: D55537663