99f2491af9
Revert "Use absolute path path.resolve() -> path.absolute() ( #129409 )"
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This reverts commit 45411d1fc9a2b6d2f891b6ab0ae16409719e09fc.
Reverted https://github.com/pytorch/pytorch/pull/129409 on behalf of https://github.com/jeanschmidt due to Breaking internal CI, @albanD please help get this PR merged ([comment](https://github.com/pytorch/pytorch/pull/129409#issuecomment-2571316444 ))
2025-01-04 14:17:20 +00:00
45411d1fc9
Use absolute path path.resolve() -> path.absolute() ( #129409 )
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Changes:
1. Always explicit `.absolute()`: `Path(__file__)` -> `Path(__file__).absolute()`
2. Replace `path.resolve()` with `path.absolute()` if the code is resolving the PyTorch repo root directory.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/129409
Approved by: https://github.com/albanD
2025-01-03 20:03:40 +00:00
cc4e70b7c3
Revert "Use absolute path path.resolve() -> path.absolute() ( #129409 )"
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This reverts commit 135c7db99d646b8bd9603bf969d47d3dec5987b1.
Reverted https://github.com/pytorch/pytorch/pull/129409 on behalf of https://github.com/malfet due to need to revert to as dependency of https://github.com/pytorch/pytorch/pull/129374 ([comment](https://github.com/pytorch/pytorch/pull/129409#issuecomment-2562969825 ))
2024-12-26 17:26:06 +00:00
135c7db99d
Use absolute path path.resolve() -> path.absolute() ( #129409 )
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Changes:
1. Always explicit `.absolute()`: `Path(__file__)` -> `Path(__file__).absolute()`
2. Replace `path.resolve()` with `path.absolute()` if the code is resolving the PyTorch repo root directory.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/129409
Approved by: https://github.com/albanD
2024-12-24 08:33:08 +00:00
a3abfa5cb5
[BE][Easy][1/19] enforce style for empty lines in import segments ( #129752 )
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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/129752
Approved by: https://github.com/ezyang , https://github.com/malfet
2024-07-16 00:42:56 +00:00
26f4f10ac8
[5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch ( #127126 )
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The `usort` config in `pyproject.toml` has no effect due to a typo. Fixing the typo make `usort` do more and generate the changes in the PR. Except `pyproject.toml`, all changes are generated by `lintrunner -a --take UFMT --all-files`.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/127126
Approved by: https://github.com/kit1980
2024-05-27 14:49:57 +00:00
55c0ab2887
Revert "[5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch ( #127126 )"
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This reverts commit 7763c83af67eebfdd5185dbe6ce15ece2b992a0f.
Reverted https://github.com/pytorch/pytorch/pull/127126 on behalf of https://github.com/XuehaiPan due to Broken CI ([comment](https://github.com/pytorch/pytorch/pull/127126#issuecomment-2133044286 ))
2024-05-27 09:22:08 +00:00
7763c83af6
[5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch ( #127126 )
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The `usort` config in `pyproject.toml` has no effect due to a typo. Fixing the typo make `usort` do more and generate the changes in the PR. Except `pyproject.toml`, all changes are generated by `lintrunner -a --take UFMT --all-files`.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/127126
Approved by: https://github.com/kit1980
ghstack dependencies: #127122 , #127123 , #127124 , #127125
2024-05-27 04:22:18 +00:00
19502ff6aa
Fixed typo in build_activation_images.py ( #117458 )
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In line 24 of build_activation_images.py, I changed "programmaticly" to "programmatically" to be dramatically correct.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/117458
Approved by: https://github.com/malfet
2024-01-15 03:27:40 +00:00
f70844bec7
Enable UFMT on a bunch of low traffic Python files outside of main files ( #106052 )
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Signed-off-by: Edward Z. Yang <ezyang@meta.com >
Pull Request resolved: https://github.com/pytorch/pytorch/pull/106052
Approved by: https://github.com/albanD , https://github.com/Skylion007
2023-07-27 01:01:17 +00:00
243dd7e74f
Fix LeakyReLU image ( #78508 )
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Fixes #56363 , Fixes #78243
| [Before](https://pytorch.org/docs/stable/generated/torch.nn.LeakyReLU.html ) | [After](https://docs-preview.pytorch.org/78508/generated/torch.nn.LeakyReLU.html ) |
| --- | --- |
|  |  |
- Plot `LeakyReLU` with `negative_slope=0.1` instead of `negative_slope=0.01`
- Changed the title from `"{function_name} activation function"` to the name returned by `_get_name()` (with parameter info). The full list is attached at the end.
- Modernized the script and ran black on `docs/source/scripts/build_activation_images.py`. Apologies for the ugly diff.
```
ELU(alpha=1.0)
Hardshrink(0.5)
Hardtanh(min_val=-1.0, max_val=1.0)
Hardsigmoid()
Hardswish()
LeakyReLU(negative_slope=0.1)
LogSigmoid()
PReLU(num_parameters=1)
ReLU()
ReLU6()
RReLU(lower=0.125, upper=0.3333333333333333)
SELU()
SiLU()
Mish()
CELU(alpha=1.0)
GELU(approximate=none)
Sigmoid()
Softplus(beta=1, threshold=20)
Softshrink(0.5)
Softsign()
Tanh()
Tanhshrink()
```
cc @brianjo @mruberry @svekars @holly1238
Pull Request resolved: https://github.com/pytorch/pytorch/pull/78508
Approved by: https://github.com/jbschlosser
2022-06-07 16:32:45 +00:00
11ca641491
[docs] Add images to some activation functions ( #65415 )
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Summary:
Fixes https://github.com/pytorch/pytorch/issues/65368 . See discussion in the issue.
cc mruberry SsnL jbschlosser soulitzer
Pull Request resolved: https://github.com/pytorch/pytorch/pull/65415
Reviewed By: soulitzer
Differential Revision: D31093303
Pulled By: albanD
fbshipit-source-id: 621c74c7a2aceee95e3d3b708c7f1a1d59e59b93
2021-09-22 11:05:29 -07:00
f0ada4bd54
[docs] Remove .data from some docs ( #65358 )
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Summary:
Related to https://github.com/pytorch/pytorch/issues/30987 . Fix the following task:
- [ ] Remove the use of `.data` in all our internal code:
- [ ] ...
- [x] `docs/source/scripts/build_activation_images.py` and `docs/source/notes/extending.rst`
In `docs/source/scripts/build_activation_images.py`, I used `nn.init` because the snippet already assumes `nn` is available (the class inherits from `nn.Module`).
cc albanD
Pull Request resolved: https://github.com/pytorch/pytorch/pull/65358
Reviewed By: malfet
Differential Revision: D31061790
Pulled By: albanD
fbshipit-source-id: be936c2035f0bdd49986351026fe3e932a5b4032
2021-09-21 06:32:31 -07:00
1022443168
Revert D30279364: [codemod][lint][fbcode/c*] Enable BLACK by default
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Test Plan: revert-hammer
Differential Revision:
D30279364 (b004307252
2021-08-12 11:45:01 -07:00
b004307252
[codemod][lint][fbcode/c*] Enable BLACK by default
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Test Plan: manual inspection & sandcastle
Reviewed By: zertosh
Differential Revision: D30279364
fbshipit-source-id: c1ed77dfe43a3bde358f92737cd5535ae5d13c9a
2021-08-12 10:58:35 -07:00
09a8f22bf9
Add mish activation function ( #58648 )
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Summary:
See issus: https://github.com/pytorch/pytorch/issues/58375
Pull Request resolved: https://github.com/pytorch/pytorch/pull/58648
Reviewed By: gchanan
Differential Revision: D28625390
Pulled By: jbschlosser
fbshipit-source-id: 23ea2eb7d5b3dc89c6809ff6581b90ee742149f4
2021-05-25 10:36:21 -07:00
4ae832e106
Optimize SiLU (Swish) op in PyTorch ( #42976 )
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Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/42976
Optimize SiLU (Swish) op in PyTorch.
Some benchmark result
input = torch.rand(1024, 32768, dtype=torch.float, device="cpu")
forward: 221ms -> 133ms
backward: 600ms -> 170ms
input = torch.rand(1024, 32768, dtype=torch.double, device="cpu")
forward: 479ms -> 297ms
backward: 1438ms -> 387ms
input = torch.rand(8192, 32768, dtype=torch.float, device="cuda")
forward: 24.34ms -> 9.83ms
backward: 97.05ms -> 29.03ms
input = torch.rand(4096, 32768, dtype=torch.double, device="cuda")
forward: 44.24ms -> 30.15ms
backward: 126.21ms -> 49.68ms
Test Plan: buck test mode/dev-nosan //caffe2/test:nn -- "SiLU"
Reviewed By: houseroad
Differential Revision: D23093593
fbshipit-source-id: 1ba7b95d5926c4527216ed211a5ff1cefa3d3bfd
2020-08-16 13:21:57 -07:00
2460dced8f
Add torch.nn.GELU for GELU activation ( #28944 )
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Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/28944
Add torch.nn.GELU for GELU activation
Test Plan: buck test mode/dev-nosan //caffe2/test:nn -- "GELU"
Reviewed By: hl475, houseroad
Differential Revision: D18240946
fbshipit-source-id: 6284b30def9bd4c12bf7fb2ed08b1b2f0310bb78
2019-11-03 21:55:05 -08:00
6fc75eadf0
Add CELU activation to pytorch ( #8551 )
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Summary:
Also fuse input scale multiplication into ELU
Paper:
https://arxiv.org/pdf/1704.07483.pdf
Pull Request resolved: https://github.com/pytorch/pytorch/pull/8551
Differential Revision: D9088477
Pulled By: SsnL
fbshipit-source-id: 877771bee251b27154058f2b67d747c9812c696b
2018-08-01 07:54:44 -07:00
49f88ac956
Add grid lines for activation images, fixes #9130 ( #9134 )
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Summary:
1. Add dashed light blue line for asymptotes.
2. RReLU was missing the activation image.
3. make clean in docs will remove the activation images too.
Sample image:
Closes https://github.com/pytorch/pytorch/pull/9134
Differential Revision: D8726880
Pulled By: ezyang
fbshipit-source-id: 35f00ee08a34864ec15ffd6228097a9efbc8dd62
2018-07-03 19:10:00 -07:00
e0f3e5dc77
fix activation images not showing up on official website ( #6367 )
2018-04-07 11:06:24 -04:00
32b3841553
[ready] General documentation improvements ( #5450 )
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* Improvize documentation
1. Add formula for erf, erfinv
2. Make exp, expm1 similar to log, log1p
3. Symbol change in ge, le, ne, isnan
* Fix minor nit in the docstring
* More doc improvements
1. Added some formulae
2. Complete scanning till "Other Operations" in Tensor docs
* Add more changes
1. Modify all torch.Tensor wherever required
* Fix Conv docs
1. Fix minor nits in the references for LAPACK routines
* Improve Pooling docs
1. Fix lint error
* Improve docs for RNN, Normalization and Padding
1. Fix flake8 error for pooling
* Final fixes for torch.nn.* docs.
1. Improve Loss Function documentation
2. Improve Vision Layers documentation
* Fix lint error
* Improve docstrings in torch.nn.init
* Fix lint error
* Fix minor error in torch.nn.init.sparse
* Fix Activation and Utils Docs
1. Fix Math Errors
2. Add explicit clean to Makefile in docs to prevent running graph generation script
while cleaning
3. Fix utils docs
* Make PYCMD a Makefile argument, clear up prints in the build_activation_images.py
* Fix batch norm doc error
2018-03-08 13:21:12 -05:00
b1dec4a74f
Fix doc-push ( #5494 )
2018-03-01 17:37:30 +01:00
7b33ef4cff
Documentation cleanup for activation functions ( #5457 )
2018-03-01 14:53:11 +01:00
