Commit Graph

118 Commits (469c055190a042575a2259f8fe759da23963ce3f)

Author SHA1 Message Date
stephenneuendorffer 3fd9b7789e
Bump LLVM to 881ff4e4ebe8cc0cc045c7c167cffb01f94f27f8 (#539) 2022-01-25 22:16:30 -08:00
Suraj Sudhir cadea678e5
[tosa] Implement torch.linear support. (#535)
Refactor matmul into separate class and derive variants:
- matmul
- mm, bmm
- linear

Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
2022-01-25 08:48:58 -08:00
Anup Gangwar f8080bd1c5
* [tosa] Support for AtenRsubScalarOp for scalar constants (#531)
* [tosa] Support for AtenCeilOp and AtenReciprocalOp
* [tosa] Support for comparator ops, Aten[Gt|Lt|Eq][Tensor|Scalar]Op with scalar constant
* [tosa] Support for Scalar variants of Aten[Mul|Div|Add|Sub] Ops with scalar constants

Signed-off-by: Anup Gangwar <anup.gangwar@arm.com>

Co-authored-by: Anup Gangwar <anup.gangwar@arm.com>
2022-01-20 10:58:30 -08:00
Suraj Sudhir 0188ca5498
[tosa] Implement matmul, mm and bmm support (#526)
- Also handles braodcasting n-D tensors, dynamic shapes

Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
2022-01-18 13:37:32 -08:00
Suraj Sudhir edf4a0e729
[tosa] Add more common utility functions (#525)
- Common code as TF repository, being moved to MLIR core.
- Will support further legalizations to be published.

Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
2022-01-14 13:57:27 -08:00
Anup Gangwar d69d29b7a6 * [tosa] Support for AtenPowTensorScalarOp with constant Scalar as input
Signed-off-by: Anup Gangwar <anup.gangwar@arm.com>
2022-01-11 22:55:54 -05:00
Suraj Sudhir d6b6c0268c
[tosa] Add missing overrride-s to fix compiler warnings (#514)
Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
2022-01-07 10:57:54 -08:00
Suraj Sudhir b4842d9863
[tosa] Implement squeeze.dim support (#511)
Templated variants for squeeze and squeeze.dim
2022-01-06 08:31:29 -08:00
Suraj Sudhir 0cd95b5c68
[tosa] Support for Torch.squeeze (#487) 2021-12-15 21:40:29 -08:00
Anup Gangwar a6c3050dd0 * [tosa] Support for Maximum and Minimum
Signed-off-by: Anup Gangwar <anup.gangwar@arm.com>
2021-12-15 11:58:19 -08:00
Suraj Sudhir 829cf8afc3
[tosa] Implement Argmax support (#485)
Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
2021-12-15 11:01:01 -08:00
Anup Gangwar cce490d71d
* [tosa] Support for Rsqrt legalization (#480)
Signed-off-by: Anup Gangwar <anup.gangwar@arm.com>

Co-authored-by: Anup Gangwar <anup.gangwar@arm.com>
2021-12-14 10:03:58 -08:00
Suraj Sudhir c9c9b68d1f [tosa] Add Torch reduction operators
- Supports variants with multiple dims, one dim, all dime
- Leverages legalize_common and legalize_utils code from
TensorFlow-TOSA work

Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
2021-12-03 09:01:48 -08:00
Yi Zhang 53733933a4 Update llvm upstream to 0b17336f793108a7b10c3fa913039144ef1d0f61
Update AsmPrinter/Parser and MatchAndRewrite
2021-11-16 13:04:51 -05:00
Suraj Sudhir 628a21bb13
[mlir][tosa] Refactor conversions to use templates (#416)
- Remove use of conversion construction macros
- Add mul and div op conversions
- Add corresponding tests

Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
2021-11-11 16:15:58 -08:00
Suraj Sudhir 1019ddf5a0 [tosa] Add structure for eltwise ops
Add a bunch of op legalizations.

Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
2021-11-11 11:03:24 -08:00
Suraj Sudhir 7e4ef74774
[tosa] Add Torch.sigmoid fp32 to TOSA (#386)
* [tosa] Add Torch.sigmoid fp32 to TOSA

Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
2021-10-28 10:09:12 -07:00
Sean Silva 0c5c84d63d Add a basic TOSA E2E backend.
We lower through linalg-on-tensors and use RefBackend to run it.
This adds enough support for a "tanh" op. Adding more ops should be
fairly mechanical now that things are wired up. Run with:
```
./tools/torchscript_e2e_test.sh -c tosa
```

The backend structure is very similar to linalg-on-tensors based E2E
backends and is a nice parallel (see `tosa_backend.py`). Actually, this
forced a nice refactoring to the layering here. We removed
`torchscript-module-to-linalg-on-tensors-backend-pipeline` and instead
require separately running
```
torchscript-function-to-torch-backend-pipeline,torch-backend-to-linalg-on-tensors-backend-pipeline
```
This highlights the step that lowers to the "torch backend contract"
of cleaned up `torch` dialect ops is a critical step in the lowering.
Going forward, that is the key load-bearing contract of the torch-mlir
project, not the linalg-on-tensors backend contract.

Recommended review order:
- `TorchToTosa.cpp` / `TorchToTosa/basic.mlir`
- `python/torch_mlir_e2e_test/torchscript/configs/tosa_backend.py` and
  the new `utils.py` file there.
- `python/torch_mlir_e2e_test/tosa_backends/linalg_on_tensors.py` and
  `abc.py` in that directory for the TOSA backend e2e interface.
- other misc mechanical changes
2021-10-08 09:59:45 -07:00