torch-mlir/test
Ramiro Leal-Cavazos d30af8772b
Handle uninitialized lattice elements in RefineTypes (#1911)
The data-flow analysis does not always propagate information to the
entire graph. This results in some lattice elements being
uninitialized. Currently the lattice elements are not checked to see
if they are uninitialized before rewriting the graph, potentially
resulting in invalid IR (see
https://github.com/llvm/torch-mlir/issues/1896).

This commit adds handling for uninitialized lattice elements.
2023-03-03 08:55:58 -08:00
..
CAPI Expose metadata of torch-mlir types (plus verify DictType key and value types). (#1785) 2023-01-16 10:25:02 -06:00
Conversion mhlo: migrate conversion to stablehlo (#1840) 2023-02-02 07:29:47 -06:00
Dialect Handle uninitialized lattice elements in RefineTypes (#1911) 2023-03-03 08:55:58 -08:00
RefBackend [MLIR][TORCH] Add TorchConversionToMLProgram and MLProgramBufferize pass 2022-12-02 13:20:46 +05:30
python WIP: No PyTorch dep (#1854) 2023-02-13 14:21:06 -06:00
CMakeLists.txt mhlo: migrate conversion to stablehlo (#1840) 2023-02-02 07:29:47 -06:00
lit.cfg.py Expose metadata of torch-mlir types (plus verify DictType key and value types). (#1785) 2023-01-16 10:25:02 -06:00
lit.site.cfg.py.in mhlo: migrate conversion to stablehlo (#1840) 2023-02-02 07:29:47 -06:00