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‎README.md

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The `GALLERY_PATTERN` variable respects regular expressions.
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## Spell Check
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You can run pyspelling to check for spelling errors in the tutorials. To check only Python files, run pyspelling -n python. To check only .rst files, use pyspelling -n reST. Currently, .rst spell checking is limited to the beginner/ directory. Contributions to enable spell checking in other directories are welcome!
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```
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pyspelling # full check (~3 mins)
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pyspelling -n python # Python files only
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pyspelling -n reST # reST files (only beginner/ dir currently included)
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```
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## About contributing to PyTorch Documentation and Tutorials
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* You can find information about contributing to PyTorch documentation in the

‎docathon-leaderboard.md

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# 🎉 PyTorch Docathon Leaderboard 2025 🎉
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This is the list of the docathon contributors that have participated and contributed to the PyTorch H1 2025 docathon. A big shout out to everyone who have participated!
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We have awarded points for each merged PR as follows:
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* easy - 2 points
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* medium - 5 points
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* advanced - 10 points
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We have granted half points (1, 2, and 5 respectively) for all additional PRs merged against the same issue.
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In some cases, we have awarded credit for the PRs that were not merged or issues that have been closed without a merged PR.
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| Rank | Author | Points | PRs |
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|:---:|:------------|------:|:----|
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| 🥇 | [j-silv](https://github.com/j-silv) | 31 | [#155753](https://github.com/pytorch/pytorch/pull/155753), [#155659](https://github.com/pytorch/pytorch/pull/155659), [#155567](https://github.com/pytorch/pytorch/pull/155567), [#155540](https://github.com/pytorch/pytorch/pull/155540), [#155528](https://github.com/pytorch/pytorch/pull/155528), [#155198](https://github.com/pytorch/pytorch/pull/155198), [#155093](https://github.com/pytorch/pytorch/pull/155093), [#3389](https://github.com/pytorch/tutorials/pull/3389) |
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| 🥇 | [windsonsea](https://github.com/windsonsea) | 19 | [#155789](https://github.com/pytorch/pytorch/pull/155789), [#155520](https://github.com/pytorch/pytorch/pull/155520), [#156039](https://github.com/pytorch/pytorch/pull/156039), [#156009](https://github.com/pytorch/pytorch/pull/156009), [#155653](https://github.com/pytorch/pytorch/pull/155653) |
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| 🥇 | [kiszk](https://github.com/kiszk) | 16 | [#155762](https://github.com/pytorch/pytorch/pull/155762), [#155514](https://github.com/pytorch/pytorch/pull/155514), [#155351](https://github.com/pytorch/pytorch/pull/155351), [#155348](https://github.com/pytorch/pytorch/pull/155348), [#155347](https://github.com/pytorch/pytorch/pull/155347) |
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| 🥈 | [Rachel0619](https://github.com/Rachel0619) | 14 | [#155764](https://github.com/pytorch/pytorch/pull/155764), [#155482](https://github.com/pytorch/pytorch/pull/155482), [#3385](https://github.com/pytorch/tutorials/pull/3385), [#3381](https://github.com/pytorch/tutorials/pull/3381) |
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| 🥈 | [jafraustro](https://github.com/jafraustro) | 14 | [#155523](https://github.com/pytorch/pytorch/pull/155523), [#155369](https://github.com/pytorch/pytorch/pull/155369), [#133563](https://github.com/pytorch/pytorch/issues/133563), [#129446](https://github.com/pytorch/pytorch/issues/129446) |
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| 🥈 | [Dhia-naouali](https://github.com/Dhia-naouali) | 12 | [#155911](https://github.com/pytorch/pytorch/pull/155911), [#155840](https://github.com/pytorch/pytorch/pull/155840), [#155505](https://github.com/pytorch/pytorch/pull/155505) |
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| 🥈 | [loganthomas](https://github.com/loganthomas) | 12 | [#155702](https://github.com/pytorch/pytorch/pull/155702), [#155088](https://github.com/pytorch/pytorch/pull/155088), [#155649](https://github.com/pytorch/pytorch/pull/155649) |
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| 🥈 | [nirajkamal](https://github.com/nirajkamal) | 12 | [#155430](https://github.com/pytorch/pytorch/pull/155430), [#155228](https://github.com/pytorch/pytorch/pull/155228), [#3376](https://github.com/pytorch/tutorials/pull/3376) |
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| 🥉 | [Juliandlb](https://github.com/Juliandlb) | 10 | [#155987](https://github.com/pytorch/pytorch/pull/155987), [#155618](https://github.com/pytorch/pytorch/pull/155618) |
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| 🥉 | [ggsmith842](https://github.com/ggsmith842) | 7 | [#155767](https://github.com/pytorch/pytorch/pull/155767), [#155297](https://github.com/pytorch/pytorch/pull/155297) |
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| 🥉 | [ParagEkbote](https://github.com/ParagEkbote) | 7 | [#155683](https://github.com/pytorch/pytorch/pull/155683), [#155341](https://github.com/pytorch/pytorch/pull/155341) |
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| ⭐ | [GdoongMathew](https://github.com/GdoongMathew) | 5 | [#155813](https://github.com/pytorch/pytorch/pull/155813) |
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| ⭐ | [eromomon](https://github.com/eromomon) | 5 | [#155696](https://github.com/pytorch/pytorch/pull/155696) |
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| ⭐ | [dggaytan](https://github.com/dggaytan) | 5 | [#155377](https://github.com/pytorch/pytorch/pull/155377) |
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| ⭐ | [spzala](https://github.com/spzala) | 5 | [#155335](https://github.com/pytorch/pytorch/pull/155335) |
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| ⭐ | [framoncg](https://github.com/framoncg) | 5 | [#155298](https://github.com/pytorch/pytorch/pull/155298) |
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| ⭐ | [abhinav-TB](https://github.com/abhinav-TB) | 5 | [#155252](https://github.com/pytorch/pytorch/pull/155252) |
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| ⭐ | [aagalleg](https://github.com/aagalleg) | 5 | [#155137](https://github.com/pytorch/pytorch/pull/155137) |
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| ⭐ | [kiersten-stokes](https://github.com/kiersten-stokes) | 5 | [#155067](https://github.com/pytorch/pytorch/pull/155067) |
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| ⭐ | [krishnakalyan3](https://github.com/krishnakalyan3) | 5 | [#3387](https://github.com/pytorch/tutorials/pull/3387) |
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| ⭐ | [splion-360](https://github.com/splion-360) | 5 | [#3384](https://github.com/pytorch/tutorials/pull/3384) |
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| ⭐ | [harshaljanjani](https://github.com/harshaljanjani) | 5 | [#3377](https://github.com/pytorch/tutorials/pull/3377) |
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| ⭐ | [b-koopman](https://github.com/b-koopman) | 4 | [#155100](https://github.com/pytorch/pytorch/pull/155100), [#155889](https://github.com/pytorch/pytorch/pull/155889) |
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| ⭐ | [thatgeeman](https://github.com/thatgeeman) | 4 | [#155404](https://github.com/pytorch/pytorch/pull/155404), [#156094](https://github.com/pytorch/pytorch/pull/156094) |
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| ⭐ | [frost-intel](https://github.com/frost-intel) | 2 | [#3393](https://github.com/pytorch/tutorials/pull/3393) |
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| ⭐ | [ANotFox](https://github.com/ANotFox) | 2 | [#155148](https://github.com/pytorch/pytorch/pull/155148) |
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| ⭐ | [QasimKhan5x](https://github.com/QasimKhan5x) | 2 | [#155074](https://github.com/pytorch/pytorch/pull/155074) |
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| ⭐ | [Ashish-Soni08](https://github.com/Ashish-Soni08) | 2 | [#3379](https://github.com/pytorch/tutorials/pull/3379) |
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| ⭐ | [FORTFANOP](https://github.com/FORTFANOP) | 2 | [#3378](https://github.com/pytorch/tutorials/pull/3378) |
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| ⭐ | [newtdms ](https://github.com/newtdms ) | 2 | [#155497](https://github.com/pytorch/pytorch/pull/155497) |
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| ⭐ | [srini047](https://github.com/srini047) | 2 | [#155554](https://github.com/pytorch/pytorch/pull/155554) |
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# 🎉 Docathon H1 2024 Leaderboard 🎉
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This is the list of the docathon contributors that have participated and contributed to the PyTorch H1 2024 docathon.

‎intermediate_source/reinforcement_q_learning.py

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# To ensure reproducibility during training, you can fix the random seeds
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# by uncommenting the lines below. This makes the results consistent across
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# runs, which is helpful for debugging or comparing different approaches.
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#
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# That said, allowing randomness can be beneficial in practice, as it lets
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# the model explore different training trajectories.
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# seed = 42
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# random.seed(seed)
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# torch.manual_seed(seed)
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# env.reset(seed=seed)
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# env.action_space.seed(seed)
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# env.observation_space.seed(seed)
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# if torch.cuda.is_available():
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# torch.cuda.manual_seed(seed)
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# Replay Memory
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# -------------
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# LR is the learning rate of the ``AdamW`` optimizer
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LR = 3e-4
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n_actions = env.action_space.n

‎recipes_source/recipes/profiler_recipe.py

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# The output will look like (omitting some columns):
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# --------------------------------- ------------ ------------ ------------ ------------
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# Name Self CPU CPU total CPU time avg # of Calls
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# --------------------------------- ------------ ------------ ------------ ------------
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# model_inference 5.509ms 57.503ms 57.503ms 1
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# aten::conv2d 231.000us 31.931ms 1.597ms 20
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# aten::convolution 250.000us 31.700ms 1.585ms 20
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# aten::_convolution 336.000us 31.450ms 1.573ms 20
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# aten::mkldnn_convolution 30.838ms 31.114ms 1.556ms 20
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# aten::batch_norm 211.000us 14.693ms 734.650us 20
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# aten::_batch_norm_impl_index 319.000us 14.482ms 724.100us 20
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# aten::native_batch_norm 9.229ms 14.109ms 705.450us 20
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# aten::mean 332.000us 2.631ms 125.286us 21
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# aten::select 1.668ms 2.292ms 8.988us 255
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# --------------------------------- ------------ ------------ ------------ ------------
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# Self CPU time total: 57.549m
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#
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# .. code-block:: sh
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#
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# --------------------------------- ------------ ------------ ------------ ------------
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# Name Self CPU CPU total CPU time avg # of Calls
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# --------------------------------- ------------ ------------ ------------ ------------
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# model_inference 5.509ms 57.503ms 57.503ms 1
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# aten::conv2d 231.000us 31.931ms 1.597ms 20
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# aten::convolution 250.000us 31.700ms 1.585ms 20
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# aten::_convolution 336.000us 31.450ms 1.573ms 20
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# aten::mkldnn_convolution 30.838ms 31.114ms 1.556ms 20
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# aten::batch_norm 211.000us 14.693ms 734.650us 20
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# aten::_batch_norm_impl_index 319.000us 14.482ms 724.100us 20
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# aten::native_batch_norm 9.229ms 14.109ms 705.450us 20
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# aten::mean 332.000us 2.631ms 125.286us 21
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# aten::select 1.668ms 2.292ms 8.988us 255
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# --------------------------------- ------------ ------------ ------------ ------------
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# aten::convolution 0.000us 0.00% 1.871ms 93.560us 20
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# aten::convolution_overrideable 1.871ms 72.89% 1.871ms 93.560us 20
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# aten::native_batch_norm 432.640us 16.85% 432.640us 21.632us 20
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# ------------------------------ ------------ ------------ ------------ ------------ ------------
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# ------------------------------ ------------ ------------ ------------ ------------ ------------
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# model_inference 0.000us 0.00% 2.567ms 2.567ms 1
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# aten::conv2d 0.000us 0.00% 1.871ms 93.560us 20
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# aten::convolution 0.000us 0.00% 1.871ms 93.560us 20
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# aten::_convolution 0.000us 0.00% 1.871ms 93.560us 20
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# aten::convolution_overrideable 1.871ms 72.89% 1.871ms 93.560us 20
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# gen_conv 1.484ms 57.82% 1.484ms 74.216us 20
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# aten::batch_norm 0.000us 0.00% 432.640us 21.632us 20
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# aten::_batch_norm_impl_index 0.000us 0.00% 432.640us 21.632us 20
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# aten::native_batch_norm 432.640us 16.85% 432.640us 21.632us 20
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# conv_reorder 386.880us 15.07% 386.880us 6.448us 60
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# ------------------------------ ------------ ------------ ------------ ------------ ------------
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# Self CPU time total: 712.486ms
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# Self XPU time total: 2.567ms
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######################################################################
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# 4. Using profiler to analyze memory consumption

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