torch-mlir/lib
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
..
CAPI [Torch][Linalg] Add basic support for RNG 2022-01-31 18:56:42 -05:00
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 [LINALG] Add E2E support for `aten.[Bool.Tensor|Float.Tensor]` op 2022-02-14 23:09:20 +05:30
CMakeLists.txt Move external/torch-mlir to the root of the repo. 2021-09-27 17:11:08 -07:00
InitAll.cpp Dual license the torch-mlir project. 2021-10-01 10:46:08 -07:00