mirror of https://github.com/llvm/torch-mlir
87389f0762
Implemented ONNX.Range. The spec says the data type for start, limit, delta are 0-D can be double, float, int16, int32, int64, All int types mapped to !torch.int and all float types mapped to !torch.float --------- Co-authored-by: Kumar Deepak <kumar@xilinx.com> |
||
|---|---|---|
| .. | ||
| CAPI | ||
| Conversion | ||
| Dialect | ||
| RefBackend | ||
| python | ||
| CMakeLists.txt | ||
| lit.cfg.py | ||
| lit.site.cfg.py.in | ||