Cortex-M backend: Fuse Relu, Hardtanh and Hardsigmoid#15917
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zingo merged 1 commit intopytorch:mainfrom Nov 25, 2025
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Cortex-M backend: Fuse Relu, Hardtanh and Hardsigmoid#15917zingo merged 1 commit intopytorch:mainfrom
zingo merged 1 commit intopytorch:mainfrom
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Implements a new pass which fuses activation passes with preceeding cortex-m ops if possible. Removed quantization of conv1d, conv3d as they are not tested + moves Conv+relu test to test_activations. Propagate qmin, qmax to conv kernel. Change-Id: Ic7d5709d72a3d8254aff4455bc6dc8eafda14801 Signed-off-by: Adrian Lundell <adrian.lundell@arm.com>
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/15917
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (2 Unrelated Failures)As of commit 9436522 with merge base 213d24c ( BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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@metascroy has imported this pull request. If you are a Meta employee, you can view this in D87791350. |
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Internal testing is good apart from OSS failures |
zingo
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Nov 25, 2025
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Implements a new pass which fuses activation passes with preceeding cortex-m ops if possible. Removed quantization of conv1d, conv3d as they are not tested + moves Conv+relu test to test_activations. Propagate qmin, qmax to conv kernel. Signed-off-by: Adrian Lundell <adrian.lundell@arm.com>
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Implements a new pass which fuses activation passes with preceeding cortex-m ops if possible.
Removed quantization of conv1d, conv3d as they are not tested
Propagate qmin, qmax to conv kernel.
cc @freddan80 @per @zingo @oscarandersson8218 @digantdesai