torch-mlir/test
Gaurav Shukla f00d1686c8 [LINALG] Add E2E support for `aten.[Bool.Tensor|Float.Tensor]` op
- This commit adds lowering of `aten.Bool.Tensor` and
  `aten.Float.Tensor` op as a part of `convert-torch-to-linalg` pass.
- It also adds support for returning bool types.
- It also fixes lowering of the `aten.Int.Tensor` op for non-zero rank
  input tensors.
- If a scalar number is converted to a 0-d tensor and passed on to the
  `aten.Float.Tensor` op, it folds to the scalar number.

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
2022-02-14 23:09:20 +05:30
..
Conversion [LINALG] Add E2E support for `aten.[Bool.Tensor|Float.Tensor]` op 2022-02-14 23:09:20 +05:30
Dialect [LINALG] Add E2E support for `aten.[Bool.Tensor|Float.Tensor]` op 2022-02-14 23:09:20 +05:30
RefBackend [Torch][Linalg] Add basic support for RNG 2022-01-31 18:56:42 -05:00
python Added support for importing node prim::Constant with list type 2022-02-11 20:54:06 -05:00
CMakeLists.txt Move external/torch-mlir to the root of the repo. 2021-09-27 17:11:08 -07:00
lit.cfg.py Add tool substitutions to support out-of-tree builds 2021-10-07 21:16:43 -07:00
lit.site.cfg.py.in Move external/torch-mlir to the root of the repo. 2021-09-27 17:11:08 -07:00