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19 Commits

Author SHA1 Message Date
Xuehai Pan
6d5c789ad5 [BE][PYFMT] migrate PYFMT for test/[a-h]*/ to ruff format (#144555) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/144555
Approved by: https://github.com/ezyang
ghstack dependencies: #144551, #144554
 2025-06-24 04:53:54 +00:00
Tom Ritchford
d8c8ba2440 Fix unused Python variables in test/[e-z]* (#136964) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/136964
Approved by: https://github.com/justinchuby, https://github.com/albanD
 2024-12-18 23:02:30 +00:00
Xuehai Pan
76169cf691 [BE][Easy][9/19] enforce style for empty lines in import segments in test/[e-h]*/ (#129760) 
See https://github.com/pytorch/pytorch/pull/129751#issue-2380881501. Most changes are auto-generated by linter.

You can review these PRs via:

```bash
git diff --ignore-all-space --ignore-blank-lines HEAD~1
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/129760
Approved by: https://github.com/ezyang
 2024-07-17 14:25:29 +00:00
Yuanhao Ji
c96bd3de06 Enable UFMT on all of test/fx (#123622) 
Partially addresses #123062

Ran lintrunner on:

- `test/fx`

with command:

```bash
lintrunner -a --take UFMT --all-files
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/123622
Approved by: https://github.com/ezyang
 2024-04-09 15:59:17 +00:00
Aaron Gokaslan
bd10fea79a [BE]: Enable F821 and fix bugs (#116579) 
Fixes #112371

I tried to fix as many of the bugs as I could, a few I could not figure out what the proper fix for them was though and so I left them with noqas.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/116579
Approved by: https://github.com/ezyang
 2024-01-01 08:40:46 +00:00
Kazuaki Ishizaki
088d1648ec [test][fx] fix incorrect method call in test case (#112336) 
This PR fixes the incorrect method name in function call in the test case

Pull Request resolved: https://github.com/pytorch/pytorch/pull/112336
Approved by: https://github.com/jon-chuang, https://github.com/kit1980
 2023-10-29 19:49:13 +00:00
HDCharles
258860fa3a [ao][fx] fixing public v private for pattern_utils.py (#88397) 
Summary: made _DEFAULT_FUSION_PATTERNS,
_register_fusion_pattern,
_DEFAULT_QUANTIZATION_PATTERNS,
_DEFAULT_OUTPUT_FAKE_QUANTIZE_MAP,
_DEFAULT_OUTPUT_OBSERVER_MAP,
_register_quant_pattern,
_sorted_patterns_dict private

Test Plan: python test/test_public_bindings.py

Reviewers:

Subscribers:

Tasks:

Tags:

Differential Revision: [D41015537](https://our.internmc.facebook.com/intern/diff/D41015537)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/88397
Approved by: https://github.com/jcaip
 2022-12-14 03:40:02 +00:00
zaf
d542aab5c1 [quant][ao_migration] nn.intrinsic migration to ao (#84842) 
All quantization-related modules are being migrated to `torch.ao`. This migrates the `nn.intrinsic.modules`. Please, see the [tracker](https://github.com/pytorch/pytorch/issues/81667) for the timeline.

Differential Revision: [D39419733](https://our.internmc.facebook.com/intern/diff/D39419733/)

**NOTE FOR REVIEWERS**: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D39419733/)!
Pull Request resolved: https://github.com/pytorch/pytorch/pull/84842
Approved by: https://github.com/jerryzh168
 2022-09-28 23:54:29 +00:00
zaf
c92e5ac95b [quant][ao_migration] torch.nn.quantized.modules → torch.ao.nn.quantized.modules (#78713) 
Context: In order to avoid the cluttering of the `torch.nn` namespace
the quantized modules namespace is moved to `torch.ao.nn`.

The list of the `nn.quantized` files that are being migrated:

- [ ] `torch.nn.quantized` → `torch.ao.nn.quantized`
    - [X] `torch.nn.quantized.functional` → `torch.ao.nn.quantized.functional`
    - [X] [Current PR] `torch.nn.quantized.modules` → `torch.ao.nn.quantized.modules`
    - [ ] `torch.nn.quantized.dynamic` → `torch.ao.nn.quantized.dynamic`
    - [ ] `torch.nn.quantized._reference` → `torch.ao.nn.quantized._reference`
- [ ] `torch.nn.quantizable` → `torch.ao.nn.quantizable`
- [ ] `torch.nn.qat` → `torch.ao.nn.qat`
    - [ ] `torch.nn.qat.modules` → `torch.ao.nn.qat.modules`
    - [ ] `torch.nn.qat.dynamic` → `torch.ao.nn.qat.dynamic`
- [ ] `torch.nn.intrinsic` → `torch.ao.nn.intrinsic`
    - [ ] `torch.nn.intrinsic.modules` → `torch.ao.nn.intrinsic.modules`
    - [ ] `torch.nn.intrinsic.qat` → `torch.ao.nn.intrinsic.qat`
    - [ ] `torch.nn.intrinsic.quantized` → `torch.ao.nn.intrinsic.quantized`
        - [ ] `torch.nn.intrinsic.quantized.modules` → `torch.ao.nn.intrinsic.quantized.modules`
        - [ ] `torch.nn.intrinsic.quantized.dynamic` → `torch.ao.nn.intrinsic.quantized.dynamic`

Majority of the files are just moved to the new location.
However, specific files need to be double checked:

- Documentation @vkuzo
  - docs/source/conf.py
  - docs/source/quantization.rst
- [quantize_fx](torch/ao/quantization/quantize_fx.py) @jerryzh168
- [common test routine](test/quantization/ao_migration/common.py) @HDCharles
- JIT stuff @jamesr66a
  - torch/csrc/jit/passes/hoist_conv_packed_params.cpp
  - torch/csrc/jit/passes/quantization/helper.h
  - torch/csrc/jit/serialization/import_source.cpp

Differential Revision: [D38926012](https://our.internmc.facebook.com/intern/diff/D38926012/)

Differential Revision: [D38926012](https://our.internmc.facebook.com/intern/diff/D38926012)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/78713
Approved by: https://github.com/jerryzh168
 2022-08-25 16:50:33 +00:00
PyTorch MergeBot
6a9c02339d Revert "[quant][ao_migration] torch.nn.quantized.modules → torch.ao.nn.quantized.modules (#78713)" 
This reverts commit 432f037498.

Reverted https://github.com/pytorch/pytorch/pull/78713 on behalf of https://github.com/janeyx99 due to Reverting for breaking (trunk-only) ios build
 2022-08-22 07:32:37 +00:00
zaf
432f037498 [quant][ao_migration] torch.nn.quantized.modules → torch.ao.nn.quantized.modules (#78713) 
Context: In order to avoid the cluttering of the `torch.nn` namespace
the quantized modules namespace is moved to `torch.ao.nn`.

The list of the `nn.quantized` files that are being migrated:

- [ ] `torch.nn.quantized` → `torch.ao.nn.quantized`
    - [X] `torch.nn.quantized.functional` → `torch.ao.nn.quantized.functional`
    - [X] [Current PR] `torch.nn.quantized.modules` → `torch.ao.nn.quantized.modules`
    - [ ] `torch.nn.quantized.dynamic` → `torch.ao.nn.quantized.dynamic`
    - [ ] `torch.nn.quantized._reference` → `torch.ao.nn.quantized._reference`
- [ ] `torch.nn.quantizable` → `torch.ao.nn.quantizable`
- [ ] `torch.nn.qat` → `torch.ao.nn.qat`
    - [ ] `torch.nn.qat.modules` → `torch.ao.nn.qat.modules`
    - [ ] `torch.nn.qat.dynamic` → `torch.ao.nn.qat.dynamic`
- [ ] `torch.nn.intrinsic` → `torch.ao.nn.intrinsic`
    - [ ] `torch.nn.intrinsic.modules` → `torch.ao.nn.intrinsic.modules`
    - [ ] `torch.nn.intrinsic.qat` → `torch.ao.nn.intrinsic.qat`
    - [ ] `torch.nn.intrinsic.quantized` → `torch.ao.nn.intrinsic.quantized`
        - [ ] `torch.nn.intrinsic.quantized.modules` → `torch.ao.nn.intrinsic.quantized.modules`
        - [ ] `torch.nn.intrinsic.quantized.dynamic` → `torch.ao.nn.intrinsic.quantized.dynamic`

Majority of the files are just moved to the new location.
However, specific files need to be double checked:

- Documentation @vkuzo
  - docs/source/conf.py
  - docs/source/quantization.rst
- [quantize_fx](torch/ao/quantization/quantize_fx.py) @jerryzh168
- [common test routine](test/quantization/ao_migration/common.py) @HDCharles
- JIT stuff @jamesr66a
  - torch/csrc/jit/passes/hoist_conv_packed_params.cpp
  - torch/csrc/jit/passes/quantization/helper.h
  - torch/csrc/jit/serialization/import_source.cpp

Differential Revision: [D36860145](https://our.internmc.facebook.com/intern/diff/D36860145/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/78713
Approved by: https://github.com/jerryzh168
 2022-08-22 01:38:55 +00:00
James Reed
8cdb638c62 [FX] Track use nodes in Node (#45775) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/45775

Test Plan: Imported from OSS

Reviewed By: zdevito

Differential Revision: D24091082

Pulled By: jamesr66a

fbshipit-source-id: b09bb6ae78436a7722fb135b8ec71464ef9587cd
 2020-10-07 00:15:04 -07:00
James Reed
53aea60bce [FX] Make output a non-special Node (#45599) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/45599

Test Plan: Imported from OSS

Reviewed By: zdevito

Differential Revision: D24027586

Pulled By: jamesr66a

fbshipit-source-id: 747c25e3c7668ca45f03bed0be71fd3c9af67286
 2020-10-02 17:08:17 -07:00
James Reed
7f4a27be3a [resubmit][FX] s/get_param/get_attr/ (#45147) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/45147

ghstack-source-id: 112605923

Test Plan: Imported from OSS

Reviewed By: eellison

Differential Revision: D23845096

fbshipit-source-id: 9ca209aa84cbaddd6e89c52b541e43b11197e2d5
 2020-09-22 17:06:18 -07:00
James Reed
1fd48a9d1f Revert D23798016: [FX] s/get_param/get_attr/ 
Test Plan: revert-hammer

Differential Revision:
D23798016 (c941dd3492)

Original commit changeset: 1d2f3db1994a

fbshipit-source-id: 974d930064b37d396c5d66c905a63d45449813e5
 2020-09-22 10:32:51 -07:00
James Reed
c941dd3492 [FX] s/get_param/get_attr/ (#45000) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/45000

Test Plan: Imported from OSS

Reviewed By: suo

Differential Revision: D23798016

Pulled By: jamesr66a

fbshipit-source-id: 1d2f3db1994a62b95d0ced03bf958e54d30c35dd
 2020-09-21 14:09:32 -07:00
Zachary DeVito
2c1b215b48 [fx] remove delegate, replace with tracer (#44566) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/44566

The Delegate objects were confusing. They were suppose to be a way to
configure how tracing works, but in some cases they appeared necessary
for consturcting graphs, which was not true. This makes the organization
clearer by removing Delgate and moving its functionality into a Tracer class,
similar to how pickle has a Pickler class.

Test Plan: Imported from OSS

Reviewed By: jamesr66a

Differential Revision: D23683177

Pulled By: zdevito

fbshipit-source-id: 7605a34e65dfac9a487c0bada39a23ca1327ab00
 2020-09-15 16:52:22 -07:00
Zachary DeVito
2ad5a82c43 [fx] get rid of graph_module.root (#44092) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/44092

instead submodules and weights are installed directly on the
graph_module by transferring the original modules. This makes it more
likely that scripting will succeed (since we no longer have submodules
that are not used in the trace). It also prevents layered transforms
from having to special case handling of the `root` module. GraphModules
can now be re-traced as part of the input to other transforms.

Test Plan: Imported from OSS

Reviewed By: jamesr66a

Differential Revision: D23504210

Pulled By: zdevito

fbshipit-source-id: f79e5c4cbfc52eb0ffb5d6ed89b37ce35a7dc467
 2020-09-04 11:35:32 -07:00
James Reed
3951457ca5 [FX] Add in resnet + quantization tests (#43157) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/43157

Test Plan: Imported from OSS

Reviewed By: zdevito

Differential Revision: D23173327

Pulled By: jamesr66a

fbshipit-source-id: 724d0f5399d389cdaa53917861b2113c33b9b5f9
 2020-08-18 15:00:18 -07:00