torch-mlir/python/torch_mlir_e2e_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
..
linalg_on_tensors_backends [LINALG] Add E2E support for `aten.[Bool.Tensor|Float.Tensor]` op 2022-02-14 23:09:20 +05:30
torchscript [Torch][Linalg] Add basic support for RNG 2022-01-31 18:56:42 -05:00
tosa_backends [tosa] Enable tosa-to-linalg-named so Matmul works again (#530) 2022-01-19 12:10:04 -08:00
CMakeLists.txt Move external/torch-mlir to the root of the repo. 2021-09-27 17:11:08 -07:00
__init__.py Move external/torch-mlir to the root of the repo. 2021-09-27 17:11:08 -07:00
utils.py Include IR dump options on e2e failure report 2022-02-09 11:19:34 -05:00