mirror of https://github.com/llvm/torch-mlir
0e77de996a
We can map to `tensor.reshape` for handling multiple output dynamic shapes. Later we can perform a more complex analysis for indentifying expand/collapse cases from the tensor.reshape. Initially we planned to handle this identification at the `torch` level however it will be easier to handle once converted to core mlir-dialects. |
||
|---|---|---|
| .. | ||
| CAPI | ||
| Conversion | ||
| Dialect | ||
| RefBackend | ||
| python | ||
| CMakeLists.txt | ||
| lit.cfg.py | ||
| lit.site.cfg.py.in | ||