executorch
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optimized matrix multiplication
Summary:
We port the efficient mm
algorithm by liuk22 and yipjustin into ExecuTorch.
Both input matrices are assumed to be channel-packed and are repacked into with-packed and height-packed respectively.
Differential Revision: D56497832
:link: Helpful Links
:test_tube: See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/3343
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:x: 2 New Failures
As of commit 8c87efde3649095098218ba1ea4e561d8f64b4e5 with merge base c001f597f571dcbc06273367c683b716203f10c3 ():
NEW FAILURES - The following jobs have failed:
-
pull / unittest / linux (buck2) / linux-job (gh)
backends/arm/test/ops/test_view.py::TestSimpleView::test_view_tosa_BI_1
-
pull / unittest / macos (buck2) / macos-job (gh)
backends/arm/test/ops/test_view.py::TestSimpleView::test_view_tosa_BI_3
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This pull request was exported from Phabricator. Differential Revision: D56497832
This pull request was exported from Phabricator. Differential Revision: D56497832
This pull request was exported from Phabricator. Differential Revision: D56497832
This pull request was exported from Phabricator. Differential Revision: D56497832
This pull request was exported from Phabricator. Differential Revision: D56497832
This pull request was exported from Phabricator. Differential Revision: D56497832
This pull request has been merged in pytorch/executorch@7109df4b190ed75882ecbe3168fcb4eefaf18cd2.