mirror of https://github.com/llvm/torch-mlir
b461daa06e
check the return type of the division to figure out whether to use the floating point implementation of a division or to use the integer. the issue rose from the fact that the inputs are all integer but the result was casted to floating point. The conversion then chose to use the integer implementation of division which is not legal in tosa when all the inputs get casted to floating point. fix(TorchToLinalg): AtenDivScalarOp upcast self operand as well if applicable, the self operand must also be casted to float as it can be an integer. |
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| .. | ||
| CAPI | ||
| Conversion | ||
| Dialect | ||
| RefBackend | ||
| python | ||
| CMakeLists.txt | ||
| lit.cfg.py | ||
| lit.site.cfg.py.in | ||