mirror of https://github.com/llvm/torch-mlir
60bf6c25af
We can plumb the linear matmul into pytorch using its quantized types with side channel information. To handle the final int8 operation we dequantize and requantize. |
||
---|---|---|
.. | ||
CAPI | ||
Conversion | ||
Dialect | ||
RefBackend | ||
python | ||
CMakeLists.txt | ||
lit.cfg.py | ||
lit.site.cfg.py.in |