Commit Graph

17 Commits (main)

Author SHA1 Message Date
zjgarvey de28c8540b
[ONNX] add int16 quantization support (#3446)
There is currently no int16 quantization support in torch. This patch
adds a new mlir type to correspond to the missing "torch.qint16" type,
and enables lowering of quantization-related onnx ops using int16 types.

In follow-up patches, custom quantization logic for ops like
aten.matmul/aten.mm/aten.convolution may need to be revisited to allow
support for qint16. The passes in FuseQuantizedOps.cpp may also need
slight modifications.
2024-06-12 10:37:22 +05:30
Stella Laurenzo 7301aa80fd
Enable -Werror in lib/ and LTC. (#2841)
Required some massaging of LTC to make it warning clean, and I had to
manually disable some warnings on the generated source files (which we
don't control).

The project is warning clean now.

The `-Werror` flag is disabled by default as we can't control everywhere
people will try to build/install. The CI enables it via
-DTORCH_MLIR_ENABLE_WERROR_FLAG=ON.
2024-01-30 23:33:21 -08:00
Quinn Dawkins 494089d53d
Clang format refresh (#2812)
After noticing a number of commits with unrelated formatting changes,
I think something was changed with clang-format at one point and we're
seeing a number of unrelated changes. Doing a refresh can help avoid
this.

The changes made here came from
```
find lib -iname *.h -o -iname *.cpp  | xargs clang-format -i --style=llvm
find include -iname *.h -o -iname *.cpp  | xargs clang-format -i --style=llvm
find projects -iname *.h -o -iname *.cpp  | xargs clang-format -i --style=llvm
```
2024-01-29 12:59:33 -05:00
Maksim Levental 0244f540a7
Add typeids to CAPI. (#2253) 2023-06-20 22:06:43 -05:00
Maksim Levental c76a48308e
[CAPI] add isValidSubtype to CAPI (#2127) 2023-05-13 22:15:45 -05:00
Maksim Levental 8696752eb6
Expose metadata of torch-mlir types (plus verify DictType key and value types). (#1785) 2023-01-16 10:25:02 -06:00
Gleb Kazantaev 708fa346a6
Fix Base Lazy Backend Type Conversion (#1412)
* Fix c10::prim::Constant conversion; Added CAPI for passes; Added passes to base lazy backend

* Update ivalue_importer to use ImportOptions; Added tests for non-value/value tensor types

* Added tests for scalar Constant import; Updated MB::importFunction to use ImportOptions

* Test updates

* Move back module variable name

* Remove RefineTypes from TorchMlirLoweringContext::Build()

* Rename pass; Remove passes from base lazy backend

* Rename pass to VerifyBackendContractPass

* Aligned cmd pass name; Fixed TorchConversion passes registration
2022-10-04 15:53:28 -07:00
Henry Tu 0c35e607b3 Add static shape for scalar tensors (#833)
* Assume zero rank tensors are scalar

* Run RefineTypes pass on JIT Graph

* Rollback assumption that zero rank tensors are scalar

* Set numSizes to -1 for non-ranked tensors

* Rename RefineTypes to RefineTupleTypes
2022-07-30 09:40:02 -04:00
Ashay Rane 72dd04cdb3
Revert "python: trim registration and loading of dialects and passes" (#1093)
This reverts commit ad283c1043, since it's
causing nightly build failures for all platforms.
2022-07-21 09:35:42 -07:00
Ashay Rane ad283c1043
python: trim registration and loading of dialects and passes (#1084)
In the interest of merging upstream LLVM quickly, a previous patch
(7f08169) updated the torch-mlir build to register all dialects and
passes through Python bindings.  This patch limits the dialects and
passes to only those that are used in torch-mlir.

Key to this change are the removal of
`MLIRPythonExtension.RegisterEverything` and the introduction of a new
Python module (`_mlir_libs/_site_initialize_0.py`), where we register
the dialects and passes used by torch-mlir.
2022-07-20 18:34:17 -07:00
Ashay Rane 7f08169380
bump llvm tag to 3580daa (#1078)
This patch makes some rudimentary changes to torch-mlir's use of MLIR
Python bindings to work with the most recent LLVM code.  We can perhaps
do better by being more selective in what we link against, instead of
using `MLIRPythonExtension.RegisterEverything`.
2022-07-18 16:49:03 -07:00
Sean Silva 227dea7b2e Add support for ScalarType::QUInt8
I ran into this while poking around at
https://github.com/llvm/torch-mlir/issues/959
2022-06-29 15:33:28 -07:00
Sean Silva ab5ad7af09 Add tracing suport to `torch_mlir.compile`.
This also has a fix for the adjustment of types of TupleConstruct
inputs, which I found when using this new functionality on a model.

Some scenarios in tracing create situations where the output of
TupleConstruct has a more refined type than the inputs.

This introduces a helper `adjustStaticInformationForValues` which
subsumes the `derefineValues` helper and the tensor static information
adjustment we were doing.
2022-05-03 09:08:40 -07:00
Sean Silva 140babd952 Add minimal support for Union types.
A recent PyTorch commit made ConstantPad2d call a helper function with a
`Union[int, float]` type annotated. This commit adds minimal support for
representing and dealing with that.
https://github.com/pytorch/pytorch/pull/73287

Changes:
- Adding support for `!torch.union<T1, T2, T3>`/`Torch::UnionType`,
  along with the importer and CAPI code.
- Add support in isValidSubtype for union types.
- Adding a canonicalizer for `torch.derefine` to help simplify some code
  that derefines to a UnionType (this also fixes #664).

There is still more work to do for really supporting UnionType well,
such as canonicalizing UnionType's so that they can be compared with
pointer equality.
2022-03-29 17:45:48 -07:00
Yi Zhang 0cb216a1ad [Torch][Linalg] Add basic support for RNG
This PR include the following pieces:
- Add torch `Generator` type. `Generator` type is converted to i64 in
refbackend type converter.
- Add seed managment support for the default global generator.
`torch_c.getNextSeed` op is used to get the seed. On refbackend, the
`torch_c.getNextSeed` is lowered to load/store from [0] of global
variable `default_generator` memref<i64> in `InsertRngGlobals` pass.
- Add `aten.uniform_` and testing as an example op for RNG ops. Add
`torch.pseudo.aten.uniform` op. It has the same operands and return as
the `aten.uniform_` from the op registry except for value semantics.
2022-01-31 18:56:42 -05:00
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
Sean Silva 4fad753073 Move external/torch-mlir to the root of the repo. 2021-09-27 17:11:08 -07:00