mirror of https://github.com/llvm/torch-mlir
93f6d8e776
The function `AffineMap::inferFromExprList` does not work if the first vector of expressions is empty, because it uses these expressions to obtain the context. This prevented `aten.permute` from working for inputs of 0-rank. This commit adds support for 0-rank inputs. |
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| .. | ||
| CMakeLists.txt | ||
| CustomOpExample.cpp | ||
| DataMovement.cpp | ||
| IndirectDataMovement.cpp | ||
| Linear.cpp | ||
| Pooling.cpp | ||
| PopulatePatterns.h | ||
| Random.cpp | ||
| Reduction.cpp | ||
| TensorConstructors.cpp | ||
| TensorScalarInterop.cpp | ||
| TorchToLinalg.cpp | ||
| Uncategorized.cpp | ||
| Utils.cpp | ||
| Utils.h | ||