Commit Graph

230 Commits (c9357950864d84ab9a2adf10b2aaa15fec6196e9)

Author SHA1 Message Date
Gaurav Shukla 663fc1ef51 [MLIR][TORCH] Add E2E support for [`aten.mul.Scalar`|`aten.addmm`]
This commit adds lowering of `aten.mul.Scalar` and also adds
decomposition of `aten.addmm` to `aten.mul.Scalar`, `aten.add.Tensor`
and `aten.mm` ops.

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
2021-11-18 22:26:41 +05:30
Prateek Gupta ecf78b9849
[TORCH][MLIR] Add E2E support for `aten.gelu_backward` operation. (#418)
This commit adds new operation `aten.gelu_backward` in the aten
dialect and adds lowering of this operation from aten to linalg.

Signed-Off-By: Prateek Gupta <prateek@nod-labs.com>
2021-11-17 14:59:38 +05:30
Yi Zhang 0fe70994e5 Add support for multiple return values
This change is to unblock the work of some backprop ops returning more
than one tensors. We will need to think of a more scalable approach
in the future if more flexible return types combinations are needed.
2021-11-16 21:07:45 -05:00
Prashant Kumar 909f7d7171 Add e2e testing for aten_tanh_backward op.
The e2e testing for aten_tanh_backward op has been added.
The testing is done for ref_backend.
2021-11-09 11:28:49 -05:00
George Petterson 2764e86f02 Add Rsqrt 2021-11-09 11:08:28 -05:00
Yi Zhang 3bd9d2a4c7 Add e2e support for aten._softmax_backward_data.
Decompose aten._softmax_backward_data into aten math ops. Also decompose
`aten.size` to facilitate decomposing _softmax_backward_data.
2021-11-09 13:09:30 +05:30
George Petterson e23cabf3a9 Add log2 2021-11-08 16:19:59 -05:00
Wang Kangyu 4bb9b44775 Add lowering of "aten.pow.Tensor_Scalar" op
Add e2e support for torch.pow(Tensor, Float)
2021-11-08 09:19:50 -08:00
Wang Kangyu b33543af85 Add lowering of aten.floor op 2021-11-06 17:31:44 -04:00
nodlabs 5ff823ace9 lowerd Sqrt to linalg
reused clang-format, as changes got deleted
2021-11-06 11:29:46 -04:00
Prashant Kumar ef897dbb19 Add lowering of `aten.log_softmax` op.
The `aten.log_softmax` is decomposed into `aten.softmax` and
`aten.log` op.
2021-11-03 22:10:05 +05:30
Prashant Kumar 127c7d8e27 Add lowering of `torch.log` op
The lowering of `torch.log` op has been added.

Signed-off-by: Prashant Kumar <prashant@nod-labs.com>
2021-11-02 21:18:00 +05:30
George Petterson 6dde5b347e Add rsub 2021-11-02 09:56:48 -04:00
Prashant Kumar 53b4275ef5 Add lowering of `aten.Int.Tensor` op.
The lowering of `aten.Int.Tensor` op has been added.
The changes has been made as a part of `convert-torch-to-linalg` pass.

Signed-off-by: Prashant Kumar <prashant@nod-labs.com>
2021-11-01 21:58:08 +05:30
Sean Silva b02b65cf6e Fix for upstream Torch change.
After https://github.com/pytorch/pytorch/pull/65967 the `graph()` method
is only available on `torch::jit::GraphFunction` now.

Fixes https://github.com/llvm/torch-mlir/issues/388
2021-10-28 11:12:05 -07:00
Prateek Gupta c33a2ca952 [TORCH][MLIR] Add E2E support for aten.permute.
This commit adds lowering of aten.permute to linalg.generic operation.

Signed-Off-By: Prateek Gupta <prateek@nod-labs.com>
2021-10-28 10:25:26 -04:00
Sean Silva 30df2ec71b Add min/max/clamp support.
Part of #380

Also
- BoolType is not considered as Scalar
- e2e framework fixes for nan handling
- `tu.rand(..., low=, high=)` support
- delete unused variable (fix warning)
- Add IouOfModule from #380 to e2e test suite (this is a common
  calculation in vision models)

 Your branch is ahead of 'origin/main' by 1 commit.
2021-10-27 13:29:21 -07:00
Prashant Kumar 5009cbf55c Add lowering of aten.matmul op.
Lowering of `aten.matmul` op is added from torch to linalg dialect.
The different cases correspond to
https://pytorch.org/docs/stable/generated/torch.matmul.html.
TODO: Broadcasting in case of batch-matmul is yet to be taken care of.

Signed-off-by: Prashant Kumar <prashant@nod-labs.com>
2021-10-26 12:45:09 -04:00
Boian Petkantchin e276dbbaa6
Add aten::gelu lowering (#374)
* Print more exception info on error during test execution

* Fix formatting

* Add aten::gelu lowering

Co-authored-by: Boian Petkantchin <boian@nod-labs.com>
2021-10-25 16:16:01 -07:00
Stella Laurenzo fe69bb339c
Bump llvm-project to 3d92722f74993969243d1400bc3257ca3d03902f. (#369)
* Picks up Python configure changes (was pinned to a bad intermediate commit).
* Uses the new mlir_configure_python_dev_packages() to ensure CMake python is found consistently.
* Fixes the JIT importer to build as a MODULE vs SHARED (needed for linking to Python as a module, per config changes).
* Adds some notes to the README to help folks build a smaller set focused just on this project.
2021-10-21 21:09:00 -07:00
Yi Zhang abfaf8c577 Add aten.ne.bool to make CI pass 2021-10-21 14:45:41 -04:00
George Petterson 8853dfbc74 Add broadcast 2021-10-19 13:33:31 -04:00
Yi Zhang a459e09ab7 E2e support for aten.softmax.int and aten.embedding
- Added a DecomposeComplexOps pass to decompose complex torchOps.
- Refactored `visitAtenArgmaxOp` and `visitAtenAnyDimOp` to
`visitReductionAlongDimIntOp`.
- Moved some helper functions into
torch-mlir/Dialect/Torch/Utils/Utils.h to be shared by multiple files.
- Added support for f64 tensor as argument and return types.
2021-10-18 17:57:45 -04:00
dan 7750d2173a add argmax lowering
Add argmax lowering from torch to linalg
2021-10-13 14:31:16 -04:00
Sean Silva 19e9fc4ef1 Bring some more order to the e2e error reporting situation.
- Move `run_pipeline_with_repro_report` to a more common place, and use it
  consistently
- Attach a `torch.debug_module_name` to the enclosing `builtin.module`
  op to allow for self-contained error reporting (not needing to pass
  the names around.
- Remove redundant error reporting in linalg_on_tensors_backend.py and
  tosa_backend.py (their respective backend abstract base classes now
  take care of the error reports themselves)
- Save off original value of sys.stderr, rather than always resetting to
  `sys.__stderr__`. This is just more hygienic, and allows nesting if
  desired.
2021-10-08 13:00:12 -07:00
Yi Zhang 98ba255288 E2e support for layernorm. 2021-10-04 14:15:13 -04:00
Sean Silva f0ed9e2d8d Fix update_torch_ods.sh 2021-10-01 17:47:25 +00:00
Sean Silva 5b6902e31c Dual license the torch-mlir project.
This commit (with approval from all contributors) dual licenses
the torch-mlir project under both the standard LLVM license and the
standard PyTorch license. This will facilitate moving code between
torch-mlir and the two upstream projects.

The standard file comment is now:

```
// This file is licensed under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
// Also available under a BSD-style license. See LICENSE.
```

See `LICENSE` in the project root for the terms of both licenses.
2021-10-01 10:46:08 -07:00
Yi Zhang 89225b0cd8 Add BertSequenceClassification model to e2e
Use torch tracing to get the module because the original model is not
TorchScriptable out of box.
2021-09-30 13:30:29 -04:00
Sean Silva 4fad753073 Move external/torch-mlir to the root of the repo. 2021-09-27 17:11:08 -07:00