mirror of https://github.com/llvm/torch-mlir
295bf418a4
Addresses an issue in <https://github.com/llvm/torch-mlir/issues/3651> where some unflatten ops generated from onnx models weren't propagating static shape information. It may be necessary to add further optimizations for the more general case when some static information is present in the unflatten (or possibly reshape/view) op's `sizes` list, but not reflected in the output shape. These ops will only successfully infer shapes if the `sizes` list is gotten from a list of constant ints (with possibly one -1). A common example where this fails is when some of the `sizes` are determined from `aten.size.int` ops on dynamic tensors, and other `sizes` are known statically. This PR includes: - a canonicalizer for `aten.unflatten.int` which converts to `aten.unsqueeze` when it is expanding one dim to two, and one of the new dims is statically 1. - an improvement to the folder for `aten.__or__.bool` which does not rely on *both* operands being static. |
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| .. | ||
| jit_ir_common | ||
| ltc | ||
| onnx_c_importer | ||
| pt1 | ||
| CMakeLists.txt | ||