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Arm backend: Add 16A8W support and test for cat operation #13800
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Add 16A8W quantization support and test for the cat operation in ExecutorTorch ARM backend. This follows the pattern established for linear, mul, sigmoid, tanh, slice, and view/transpose operations, extending int16 support to cat operations. Changes: - Add test_cat_tensor_16a8w_tosa_INT test function - Enable test_cat.py in test targets configuration The 16A8W configuration uses 16-bit activations with 8-bit weights, enabling higher precision for activations while maintaining weight efficiency. Differential Revision: [D80511455](https://our.internmc.facebook.com/intern/diff/D80511455/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13800
Note: Links to docs will display an error until the docs builds have been completed. ❌ 12 New Failures, 4 Unrelated FailuresAs of commit a237e06 with merge base 6208340 ( NEW FAILURES - The following jobs have failed:
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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This pull request was exported from Phabricator. Differential Revision: D80511455 |
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code dedup again :)
Stack from ghstack (oldest at bottom):
Add 16A8W quantization support and test for the cat operation in ExecutorTorch ARM backend.
This follows the pattern established for linear, mul, sigmoid, tanh, slice, and view/transpose operations, extending int16 support to cat operations.
Changes:
The 16A8W configuration uses 16-bit activations with 8-bit weights, enabling higher precision for activations while maintaining weight efficiency.
Differential Revision: D80511455
cc @digantdesai @freddan80 @per @zingo @oscarandersson8218