mirror of https://github.com/llvm/torch-mlir
5620fe030e
This commit adds the following support to the op `nll_loss_backward`: - `input` tensor can be rank-1 - `weight` parameter - `reduction` parameter - `target`, `grad_output`, `total_weight` can be rank-0 - Checks that input tensors are of the expected type |
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| .. | ||
| CMakeLists.txt | ||
| 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 | ||