mirror of https://github.com/llvm/torch-mlir
40913a36c2
Making the same PR with #2457, as I accidentally thought the review was already made and merged it (reverted). Add decompose empty_strided op. Referring to #1776, this decomposition op only supports default stride values, because accessing the tensor or indexing over that, the indices are determined by the strides. In MLIR, this is not implicitly supported but assumes that the strides are default while iterating over the tensor. |
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| .. | ||
| _torch_mlir_custom_op_example | ||
| cmake/modules | ||
| csrc | ||
| dialects | ||
| __init__.py | ||
| _dynamo_fx_importer.py | ||
| _version.py | ||
| compiler_utils.py | ||
| dynamo.py | ||