mirror of https://github.com/llvm/torch-mlir
105aad6f57
Note that we are waiting for actual FX traced graph support for sparse tensors. For details see https://github.com/pytorch/pytorch/issues/117188 Until then, however, we provide this clever importer that builds the FX traced graph for for the dense case and then puts a sparse annotation back on the parameters. With import test. |
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.. | ||
CAPI | ||
Conversion | ||
Dialect | ||
RefBackend | ||
python | ||
CMakeLists.txt | ||
lit.cfg.py | ||
lit.site.cfg.py.in |