mirror of https://github.com/llvm/torch-mlir
fc484d1bd8
* Primarily, the upstream shape dialect now uses tensor<?xindex> for non-erroring, immediate shape calculations (and will return this for shape_of of a tensor or memref). * In addition, upstream passes do not yet exist for fully lowering to standard ops, so the passes here need to be extended to handle this new convention. * This should be seen as an intermediate state, necessary to integrate a new LLVM version and needs more work and cleanup for generality. * There is a good deal of awkwardness in these conversions. The hope is that additional upstream work will yield better defined conversion paths once out of this intermediate state. |
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| .. | ||
| BasicpyToIREEVM | ||
| BasicpyToStd | ||
| NumpyToTCF | ||
| TCFToTCP | ||
| TCPToLinalg | ||
| CMakeLists.txt | ||
| PassDetail.h | ||