Commit 64191d4
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Add 16A8W FCNode support with BMM dependency fix
Pull Request resolved: #13801
Add 16A8W quantization support for FCNode operations with BMM dependency fix in ExecutorTorch ARM backend.
This follows the pattern established for linear, mul, sigmoid, tanh, slice, view/transpose, and cat operations, extending int16 support to FCNode operations.
Changes:
- Add INT16 dtype validation support in op_bmm.py
- Add test_addmm_tensor_16a8w_tosa_INT test function
- Enable test_addmm.py in test targets configuration
- Fix BMM dependency for FCNode operations
The 16A8W configuration uses 16-bit activations with 8-bit weights, enabling higher precision for activations while maintaining weight efficiency.
ghstack-source-id: 308986674
@exported-using-ghexport
Differential Revision: [D80512504](https://our.internmc.facebook.com/intern/diff/D80512504/)1 parent 05b3155 commit 64191d4
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