mirror of https://github.com/llvm/torch-mlir
234fc7fe0c
Prior to this patch, the torch dialect included `AtenTriuOp` for computing the upper triangular part of the input matrix, but there was no code for lowering the op to the linalg dialect. This patch adds code to generate a `linalg.generic` operation that compares indices (computed using `linalg.index`) to choose between zero or the original value (using `arith.select`). The lowering fails if the number of dimensions are less than two. This patch also adds a few end-to-end tests. |
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| .. | ||
| eager_backends | ||
| linalg_on_tensors_backends | ||
| test_suite | ||
| torchscript | ||
| tosa_backends | ||
| CMakeLists.txt | ||
| __init__.py | ||
| utils.py | ||