mirror of https://github.com/llvm/torch-mlir
09c988046c
This implements the Onnx.NegativeLogLikelihoodLoss op using the signature provided [here](https://onnx.ai/onnx/operators/onnx__NegativeLogLikelihoodLoss.html) by replacing it with a `NLLLossForward` op. Additionally, I included a helper function `get_loss_reduction_enum` to convert from a string `reduction` parameter to the corresponding intended integer value since this is an operation that will be reused for any loss function module. This differs from `get_reduction_enum` in `TorchUpstream.cpp` which handles the `reduce` parameter from `scatter_reduce` type operations. |
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| .. | ||
| CMakeLists.txt | ||
| SparsityUtils.cpp | ||
| TorchUpstream.cpp | ||
| Utils.cpp | ||