mirror of https://github.com/llvm/torch-mlir
67732883fa
Fixes https://github.com/iree-org/iree/issues/18562. During canonicalization pass on `AtenUnflattenIntOp`, if the second dim was statically equal to one, we would create an `AtenAddIntOp` to add one to the dimension obtained from `op.getDim()`. This, when passed into `Torch::unsqueezeTensor()`, would make it get interpreted as non-constant, which would lead to MLIR failing an assertion when `UnsqueezeOp` would later get lowered into `ExpandShapeOp`, as the output of the `UnsqueezeOp` would consist of only dynamic dims. This patch fixes this behavior, by extracting the integer value from the dim if it was constant, and then emitting a `ConstantIntOp` from (dim+1). This creates an output with static shape. |
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| CAPI | ||
| Conversion | ||
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| CMakeLists.txt | ||
| InitAll.cpp | ||