Commit Graph

17 Commits (61f0a5facf6d6bde55eecc4200d048aa55690b64)

Author SHA1 Message Date
Rob Suderman 041a54ae0c
[torch] Supporting `torch.aten.mul.float` lowering to `arith` (#2833)
Simple missing scalar operation for multiply floats was missing.
2024-02-05 16:23:04 -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
saienduri ad18219820
Fix for unused variable failure when trying to bump torch-mlir in IREE (#2560)
Due to blob being an unused variable, we are not able to bump torch-mlir
in iree. With this PR, we remove this unused variable.
2023-11-08 15:55:41 -08:00
saienduri 88adf384cc
torch-mlir change for dense resource implementation (#2513)
Co-authored-by: Avinash Sharma <avinash@nod-labs.com>
2023-11-03 11:44:07 -07:00
Stella Laurenzo 6961f0a247
Re-organize project structure to separate PyTorch dependencies from core project. (#2542)
This is a first step towards the structure we discussed here:
https://gist.github.com/stellaraccident/931b068aaf7fa56f34069426740ebf20

There are two primary goals:

1. Separate the core project (C++ dialects and conversions) from the
hard PyTorch dependencies. We move all such things into projects/pt1 as
a starting point since they are presently entangled with PT1-era APIs.
Additional work can be done to disentangle components from that
(specifically LTC is identified as likely ultimately living in a
`projects/ltc`).
2. Create space for native PyTorch2 Dynamo-based infra to be upstreamed
without needing to co-exist with the original TorchScript path.

Very little changes in this path with respect to build layering or
options. These can be updated in a followup without commingling
directory structure changes.

This also takes steps toward a couple of other layering enhancements:

* Removes the llvm-external-projects/torch-mlir-dialects sub-project,
collapsing it into the main tree.
* Audits and fixes up the core C++ build to account for issues found
while moving things. This is just an opportunistic pass through but
roughly ~halves the number of build actions for the project from the
high 4000's to the low 2000's.

It deviates from the discussed plan by having a `projects/` tree instead
of `compat/`. As I was thinking about it, this will better accommodate
the follow-on code movement.

Once things are roughly in place and the CI passing, followups will
focus on more in-situ fixes and cleanups.
2023-11-02 19:45:55 -07:00
Yuanqiang Liu 5a7bf4e4cb
[Torch Dialect] Add canonicalize pattern for aten.is_floating_point (#2194)
* [Torch Dialect] Add canonicalize pattern for aten.is_floating_point

* implement as fold

* add lit test
2023-06-07 17:05:31 +08:00
Ramiro Leal-Cavazos 281dccc681 [LINALG] Add dynamic support for `PrimMinIntOp` 2023-06-01 11:14:53 -07:00
Zhekun Zhang 5b63138d55
[Torch Dialect] Enforce signless attribute for ConstantIntOp (#2078)
* fix torch_c.to_i64

* restore dialect.cpp

* Empty commit, trigger test

* Empty commit, trigger test

* fix uint case

* address comments

* update error msg

* clean up

* use i64 for ConstantIntOp

* use I64Attr

---------

Co-authored-by: zhekun.zhang <zhekun.zhang@bytedance.com>
2023-05-22 19:21:34 -05:00
Vivek Khandelwal e90ea3d7ab [MLIR][TORCH] Extend implementation of aten._index_put_impl op.
This commits adds the support for cases for index_put_op:
1.) where index is a 2-d tensor.
2.) where indices is a list of tensors and none, with exactly
2 non none tensors along the consecutive dimensions.

This commit also adds a utility to compute the broadcast shape
given the two input tensors.

Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
2023-04-05 14:04:30 +05:30
Vivek Khandelwal a32840ffd7 build: manually update PyTorch version
Set PyTorch and TorchVision version to nightly release 2023-02-27.
This commit also adds the lowering for aten.add and aten.Float.Scalar op.

Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
2023-02-28 22:43:39 +05:30
Yuanqiang Liu 6ab990e1e8
[Torch Dialect] add folder for aten.Int.float (#1863) 2023-02-10 13:59:03 -08:00
Ramiro Leal-Cavazos dd35488da5
build: update llvm tag to 798fa4b4 (#1684)
- Support for non-prefixed accessors has been removed. See:
  https://reviews.llvm.org/D136727
- Rename `operands` to `methodOperands` in `prim.CallMethod` since the
  name `operands` overlaps with a builtin method name. See:
  https://reviews.llvm.org/D136727
- Add passes in refbackend to lower memref.subview. See:
  https://reviews.llvm.org/D136377
- Replace `CopyToValueTensorOps` first in `RewriteViewLikeSubgraph` in
  maximize-value-semantics.

  The current implementation of the `RewriteViewLikeSubgraph` pass in
  maximize-value-semantics creates temporarily invalid IR. In
  particular, given a forward slice starting from a
  `CopyToNonValueTensorOp` and ending in `CopyToValueTensorOp`s, the
  pass first replaces all uses of the `CopyToNonValueTensorOp` with
  its operand, which results in all the `CopyToValueTensorOp` users
  having their operand have type `!torch.vtensor`, which is invalid.

  The correct way to do things is to first replace all the
  `CopyToValueTensorOp`s with their operand, and then replace all uses
  of the `CopyToNonValueTensorOp` with its operand.

  This only started failing now because the generated accessor
  `getOperand` for the `CopyToValueTensorOp` now returns a
  `TypedValue<NonValueTensorType>`, which has an assert checking that
  the value returned is of the expected type.
2022-12-07 12:20:41 -08:00
George Petterson 92f385bd9f [MLIR][TORCH] Add E2E support aten.convolution_backward op
This commit adds the decomposition for the `aten.convolution_backward`
and `aten.convolution_backward_overrideable` op.
2022-11-15 07:38:26 +05:30
Gaurav Shukla da90a25f90 [MLIR][TORCH] Add E2E support for `aten.[div.int|bitwise_or.Tensor]` ops
This commit adds lowering of `aten.div.int` and `aten.bitwise_or.Tensor`
ops. Both these ops are required in order to support bloom_560m model.

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
2022-10-10 22:28:51 +05:30
Ashay Rane faa9a78e38
build: update llvm tag to 6f46ff37 (#1448)
Summary of changes:
 - Updated references to the Arith dialect
   (https://reviews.llvm.org/D134762)
 - Switched to prefixed accessors for MemRef dialect
   (https://reviews.llvm.org/D134995)
 - Fixed warnings about signed/unsigned comparisons, ignored return
   values, and unused variables
2022-10-05 08:28:06 -05:00
Ashay Rane 1d9d925f6e
mlir: fix replacement of `OpaqueElementsAttr` (#1274)
An earlier patch (bb47c166) incorrectly replaced the now-dropped
`OpaqueElementsAttr` with `SparseElementsAttr` in one place and with
`DenseElementsAttr` in another.  This patch fixes the problem by making
both replacements use the dense-equivalent type.
2022-08-24 17:10:40 -05:00
Ramana Radhakrishnan 738f4fe96a
Rename TorchToStd pass as TorchToArith (#1163)
All the converters in this pass appear to create ops from the
arith dialect. Hence the full rename.

Fix GH Issue #409.
2022-08-10 20:12:51 +01:00