Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[CI] Bump jinja2 from 3.1.3 to 3.1.4 in /docs #2250

Merged
merged 1 commit into from
Jun 26, 2024
Merged

[CI] Bump jinja2 from 3.1.3 to 3.1.4 in /docs #2250

merged 1 commit into from
Jun 26, 2024

Conversation

dependabot[bot]
Copy link
Contributor

@dependabot dependabot bot commented on behalf of github Jun 26, 2024

Bumps jinja2 from 3.1.3 to 3.1.4.

Release notes

Sourced from jinja2's releases.

3.1.4

This is the Jinja 3.1.4 security release, which fixes security issues and bugs but does not otherwise change behavior and should not result in breaking changes.

PyPI: https://pypi.org/project/Jinja2/3.1.4/ Changes: https://jinja.palletsprojects.com/en/3.1.x/changes/#version-3-1-4

  • The xmlattr filter does not allow keys with / solidus, > greater-than sign, or = equals sign, in addition to disallowing spaces. Regardless of any validation done by Jinja, user input should never be used as keys to this filter, or must be separately validated first. GHSA-h75v-3vvj-5mfj
Changelog

Sourced from jinja2's changelog.

Version 3.1.4

Released 2024-05-05

  • The xmlattr filter does not allow keys with / solidus, > greater-than sign, or = equals sign, in addition to disallowing spaces. Regardless of any validation done by Jinja, user input should never be used as keys to this filter, or must be separately validated first. :ghsa:h75v-3vvj-5mfj
Commits

Dependabot compatibility score

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot merge will merge this PR after your CI passes on it
  • @dependabot squash and merge will squash and merge this PR after your CI passes on it
  • @dependabot cancel merge will cancel a previously requested merge and block automerging
  • @dependabot reopen will reopen this PR if it is closed
  • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
  • @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
  • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
    You can disable automated security fix PRs for this repo from the Security Alerts page.

@dependabot
Bump jinja2 from 3.1.3 to 3.1.4 in /docs
b542879 
Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.3 to 3.1.4.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](pallets/jinja@3.1.3...3.1.4)

---
updated-dependencies:
- dependency-name: jinja2
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Jun 26, 2024
@pytorch-bot PyTorch Bot
Copy link

pytorch-bot bot commented Jun 26, 2024 •
edited
Loading

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/rl/2250

Note: Links to docs will display an error until the docs builds have been completed.

❌ 4 New Failures, 1 Unrelated Failure

As of commit b542879 with merge base 559b729 (image):

NEW FAILURES - The following jobs have failed:

BROKEN TRUNK - The following job failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

This comment was automatically generated by Dr. CI and updates every 15 minutes.

@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Jun 26, 2024
@vmoens vmoens changed the title Bump jinja2 from 3.1.3 to 3.1.4 in /docs [CI] Bump jinja2 from 3.1.3 to 3.1.4 in /docs Jun 26, 2024
@github-actions GitHub Actions
Copy link

$\color{#D29922}\textsf{\Large&amp;#x26A0;\kern{0.2cm}\normalsize Warning}$ Result of CPU Benchmark Tests

Total Benchmarks: 91. Improved: $\large\color{#35bf28}0$. Worsened: $\large\color{#d91a1a}7$.

Expand to view detailed results
Name Max Mean Ops Ops on Repo HEAD Change
test_single 0.1144s 60.4440ms 16.5442 Ops/s 17.6928 Ops/s $\textbf{\color{#d91a1a}-6.49\%}$
test_sync 40.6320ms 31.8698ms 31.3777 Ops/s 31.9427 Ops/s $\color{#d91a1a}-1.77\%$
test_async 66.9109ms 28.4744ms 35.1193 Ops/s 34.8968 Ops/s $\color{#35bf28}+0.64\%$
test_simple 0.3797s 0.3783s 2.6437 Ops/s 2.6307 Ops/s $\color{#35bf28}+0.49\%$
test_transformed 0.5398s 0.5392s 1.8544 Ops/s 1.8460 Ops/s $\color{#35bf28}+0.46\%$
test_serial 1.3320s 1.2839s 0.7789 Ops/s 0.7811 Ops/s $\color{#d91a1a}-0.28\%$
test_parallel 1.1447s 1.0810s 0.9250 Ops/s 0.9255 Ops/s $\color{#d91a1a}-0.05\%$
test_step_mdp_speed[True-True-True-True-True] 0.1521ms 22.8204μs 43.8205 KOps/s 43.7393 KOps/s $\color{#35bf28}+0.19\%$
test_step_mdp_speed[True-True-True-True-False] 41.3470μs 13.3089μs 75.1375 KOps/s 75.7810 KOps/s $\color{#d91a1a}-0.85\%$
test_step_mdp_speed[True-True-True-False-True] 44.0720μs 13.3984μs 74.6358 KOps/s 75.3188 KOps/s $\color{#d91a1a}-0.91\%$
test_step_mdp_speed[True-True-True-False-False] 41.2670μs 7.8057μs 128.1118 KOps/s 130.3199 KOps/s $\color{#d91a1a}-1.69\%$
test_step_mdp_speed[True-True-False-True-True] 70.7320μs 24.0072μs 41.6542 KOps/s 41.7865 KOps/s $\color{#d91a1a}-0.32\%$
test_step_mdp_speed[True-True-False-True-False] 58.9400μs 14.6708μs 68.1628 KOps/s 69.6359 KOps/s $\color{#d91a1a}-2.12\%$
test_step_mdp_speed[True-True-False-False-True] 54.5510μs 14.6317μs 68.3448 KOps/s 69.0900 KOps/s $\color{#d91a1a}-1.08\%$
test_step_mdp_speed[True-True-False-False-False] 25.3070μs 9.1549μs 109.2316 KOps/s 110.9243 KOps/s $\color{#d91a1a}-1.53\%$
test_step_mdp_speed[True-False-True-True-True] 66.3440μs 25.4564μs 39.2828 KOps/s 39.4239 KOps/s $\color{#d91a1a}-0.36\%$
test_step_mdp_speed[True-False-True-True-False] 57.9480μs 15.8572μs 63.0630 KOps/s 63.0261 KOps/s $\color{#35bf28}+0.06\%$
test_step_mdp_speed[True-False-True-False-True] 51.2550μs 14.6937μs 68.0562 KOps/s 69.0762 KOps/s $\color{#d91a1a}-1.48\%$
test_step_mdp_speed[True-False-True-False-False] 27.7420μs 9.0834μs 110.0915 KOps/s 110.3823 KOps/s $\color{#d91a1a}-0.26\%$
test_step_mdp_speed[True-False-False-True-True] 0.1004ms 26.4042μs 37.8728 KOps/s 38.0883 KOps/s $\color{#d91a1a}-0.57\%$
test_step_mdp_speed[True-False-False-True-False] 61.9460μs 17.1276μs 58.3855 KOps/s 59.3983 KOps/s $\color{#d91a1a}-1.71\%$
test_step_mdp_speed[True-False-False-False-True] 35.9770μs 15.8504μs 63.0897 KOps/s 64.3744 KOps/s $\color{#d91a1a}-2.00\%$
test_step_mdp_speed[True-False-False-False-False] 54.4810μs 10.2901μs 97.1811 KOps/s 99.1247 KOps/s $\color{#d91a1a}-1.96\%$
test_step_mdp_speed[False-True-True-True-True] 65.1820μs 26.0089μs 38.4483 KOps/s 39.5743 KOps/s $\color{#d91a1a}-2.85\%$
test_step_mdp_speed[False-True-True-True-False] 63.6090μs 15.8515μs 63.0853 KOps/s 63.4168 KOps/s $\color{#d91a1a}-0.52\%$
test_step_mdp_speed[False-True-True-False-True] 65.9230μs 16.9341μs 59.0526 KOps/s 59.9016 KOps/s $\color{#d91a1a}-1.42\%$
test_step_mdp_speed[False-True-True-False-False] 37.1990μs 10.3099μs 96.9941 KOps/s 97.8240 KOps/s $\color{#d91a1a}-0.85\%$
test_step_mdp_speed[False-True-False-True-True] 72.0340μs 26.8437μs 37.2527 KOps/s 37.9582 KOps/s $\color{#d91a1a}-1.86\%$
test_step_mdp_speed[False-True-False-True-False] 37.7810μs 17.0235μs 58.7423 KOps/s 58.9962 KOps/s $\color{#d91a1a}-0.43\%$
test_step_mdp_speed[False-True-False-False-True] 65.2920μs 18.0251μs 55.4783 KOps/s 55.9298 KOps/s $\color{#d91a1a}-0.81\%$
test_step_mdp_speed[False-True-False-False-False] 32.3410μs 11.4438μs 87.3839 KOps/s 88.4178 KOps/s $\color{#d91a1a}-1.17\%$
test_step_mdp_speed[False-False-True-True-True] 75.7620μs 27.9225μs 35.8134 KOps/s 35.9408 KOps/s $\color{#d91a1a}-0.35\%$
test_step_mdp_speed[False-False-True-True-False] 61.8460μs 18.4023μs 54.3410 KOps/s 54.3452 KOps/s $-0.01\%$
test_step_mdp_speed[False-False-True-False-True] 50.0740μs 18.2011μs 54.9419 KOps/s 55.8931 KOps/s $\color{#d91a1a}-1.70\%$
test_step_mdp_speed[False-False-True-False-False] 46.7770μs 11.8452μs 84.4222 KOps/s 87.5931 KOps/s $\color{#d91a1a}-3.62\%$
test_step_mdp_speed[False-False-False-True-True] 50.9850μs 29.7503μs 33.6131 KOps/s 34.3550 KOps/s $\color{#d91a1a}-2.16\%$
test_step_mdp_speed[False-False-False-True-False] 48.9910μs 20.7801μs 48.1229 KOps/s 51.1940 KOps/s $\textbf{\color{#d91a1a}-6.00\%}$
test_step_mdp_speed[False-False-False-False-True] 62.6270μs 19.2316μs 51.9977 KOps/s 53.5342 KOps/s $\color{#d91a1a}-2.87\%$
test_step_mdp_speed[False-False-False-False-False] 47.2780μs 13.2364μs 75.5491 KOps/s 80.7571 KOps/s $\textbf{\color{#d91a1a}-6.45\%}$
test_values[generalized_advantage_estimate-True-True] 9.6339ms 9.3636ms 106.7966 Ops/s 104.2843 Ops/s $\color{#35bf28}+2.41\%$
test_values[vec_generalized_advantage_estimate-True-True] 37.4723ms 35.1844ms 28.4217 Ops/s 30.2141 Ops/s $\textbf{\color{#d91a1a}-5.93\%}$
test_values[td0_return_estimate-False-False] 0.2260ms 0.1629ms 6.1380 KOps/s 5.8802 KOps/s $\color{#35bf28}+4.38\%$
test_values[td1_return_estimate-False-False] 26.1596ms 24.0413ms 41.5951 Ops/s 41.3633 Ops/s $\color{#35bf28}+0.56\%$
test_values[vec_td1_return_estimate-False-False] 37.2454ms 35.4020ms 28.2470 Ops/s 28.6766 Ops/s $\color{#d91a1a}-1.50\%$
test_values[td_lambda_return_estimate-True-False] 37.3171ms 34.1378ms 29.2930 Ops/s 28.6866 Ops/s $\color{#35bf28}+2.11\%$
test_values[vec_td_lambda_return_estimate-True-False] 41.3558ms 35.5327ms 28.1431 Ops/s 29.4816 Ops/s $\color{#d91a1a}-4.54\%$
test_gae_speed[generalized_advantage_estimate-False-1-512] 8.4903ms 8.3099ms 120.3378 Ops/s 119.1603 Ops/s $\color{#35bf28}+0.99\%$
test_gae_speed[vec_generalized_advantage_estimate-True-1-512] 4.2616ms 2.0128ms 496.8247 Ops/s 482.2121 Ops/s $\color{#35bf28}+3.03\%$
test_gae_speed[vec_generalized_advantage_estimate-False-1-512] 0.5923ms 0.3622ms 2.7607 KOps/s 2.7452 KOps/s $\color{#35bf28}+0.57\%$
test_gae_speed[vec_generalized_advantage_estimate-True-32-512] 46.3801ms 45.6388ms 21.9112 Ops/s 23.9026 Ops/s $\textbf{\color{#d91a1a}-8.33\%}$
test_gae_speed[vec_generalized_advantage_estimate-False-32-512] 3.1177ms 3.0344ms 329.5598 Ops/s 316.8923 Ops/s $\color{#35bf28}+4.00\%$
test_dqn_speed 6.7355ms 1.3784ms 725.4999 Ops/s 731.5536 Ops/s $\color{#d91a1a}-0.83\%$
test_ddpg_speed 3.7092ms 2.9019ms 344.6037 Ops/s 344.5782 Ops/s $+0.01\%$
test_sac_speed 9.3430ms 8.5922ms 116.3849 Ops/s 115.1705 Ops/s $\color{#35bf28}+1.05\%$
test_redq_speed 95.0517ms 14.6613ms 68.2068 Ops/s 73.8060 Ops/s $\textbf{\color{#d91a1a}-7.59\%}$
test_redq_deprec_speed 17.9394ms 13.8733ms 72.0808 Ops/s 74.2437 Ops/s $\color{#d91a1a}-2.91\%$
test_td3_speed 10.1431ms 8.5347ms 117.1683 Ops/s 115.6454 Ops/s $\color{#35bf28}+1.32\%$
test_cql_speed 38.6654ms 36.7285ms 27.2268 Ops/s 27.0042 Ops/s $\color{#35bf28}+0.82\%$
test_a2c_speed 8.3246ms 7.5147ms 133.0717 Ops/s 132.9956 Ops/s $\color{#35bf28}+0.06\%$
test_ppo_speed 9.7325ms 7.8039ms 128.1408 Ops/s 128.3250 Ops/s $\color{#d91a1a}-0.14\%$
test_reinforce_speed 8.0756ms 6.6740ms 149.8342 Ops/s 149.0883 Ops/s $\color{#35bf28}+0.50\%$
test_iql_speed 34.0662ms 32.7597ms 30.5253 Ops/s 30.1465 Ops/s $\color{#35bf28}+1.26\%$
test_rb_sample[TensorDictReplayBuffer-ListStorage-RandomSampler-4000] 5.4089ms 3.4523ms 289.6592 Ops/s 293.7307 Ops/s $\color{#d91a1a}-1.39\%$
test_rb_sample[TensorDictReplayBuffer-LazyMemmapStorage-RandomSampler-10000] 93.4552ms 0.5554ms 1.8006 KOps/s 1.7838 KOps/s $\color{#35bf28}+0.94\%$
test_rb_sample[TensorDictReplayBuffer-LazyTensorStorage-RandomSampler-10000] 0.8524ms 0.4659ms 2.1464 KOps/s 2.1155 KOps/s $\color{#35bf28}+1.46\%$
test_rb_sample[TensorDictReplayBuffer-ListStorage-SamplerWithoutReplacement-4000] 3.6371ms 3.3591ms 297.6994 Ops/s 294.1285 Ops/s $\color{#35bf28}+1.21\%$
test_rb_sample[TensorDictReplayBuffer-LazyMemmapStorage-SamplerWithoutReplacement-10000] 0.7519ms 0.4876ms 2.0508 KOps/s 2.0577 KOps/s $\color{#d91a1a}-0.34\%$
test_rb_sample[TensorDictReplayBuffer-LazyTensorStorage-SamplerWithoutReplacement-10000] 3.4094ms 0.4680ms 2.1366 KOps/s 2.1336 KOps/s $\color{#35bf28}+0.14\%$
test_rb_sample[TensorDictReplayBuffer-LazyMemmapStorage-sampler6-10000] 2.1557ms 1.7314ms 577.5572 Ops/s 572.6197 Ops/s $\color{#35bf28}+0.86\%$
test_rb_sample[TensorDictReplayBuffer-LazyTensorStorage-sampler7-10000] 4.6255ms 1.6459ms 607.5696 Ops/s 600.0814 Ops/s $\color{#35bf28}+1.25\%$
test_rb_sample[TensorDictPrioritizedReplayBuffer-ListStorage-None-4000] 3.7824ms 3.5710ms 280.0333 Ops/s 277.2086 Ops/s $\color{#35bf28}+1.02\%$
test_rb_sample[TensorDictPrioritizedReplayBuffer-LazyMemmapStorage-None-10000] 0.8400ms 0.6292ms 1.5893 KOps/s 1.5721 KOps/s $\color{#35bf28}+1.09\%$
test_rb_sample[TensorDictPrioritizedReplayBuffer-LazyTensorStorage-None-10000] 3.6345ms 0.6088ms 1.6426 KOps/s 1.6586 KOps/s $\color{#d91a1a}-0.96\%$
test_rb_iterate[TensorDictReplayBuffer-ListStorage-RandomSampler-4000] 3.6204ms 3.3845ms 295.4674 Ops/s 291.5199 Ops/s $\color{#35bf28}+1.35\%$
test_rb_iterate[TensorDictReplayBuffer-LazyMemmapStorage-RandomSampler-10000] 0.8390ms 0.4930ms 2.0283 KOps/s 1.9996 KOps/s $\color{#35bf28}+1.44\%$
test_rb_iterate[TensorDictReplayBuffer-LazyTensorStorage-RandomSampler-10000] 3.5110ms 0.4759ms 2.1014 KOps/s 2.1301 KOps/s $\color{#d91a1a}-1.35\%$
test_rb_iterate[TensorDictReplayBuffer-ListStorage-SamplerWithoutReplacement-4000] 3.8034ms 3.4164ms 292.7069 Ops/s 295.3296 Ops/s $\color{#d91a1a}-0.89\%$
test_rb_iterate[TensorDictReplayBuffer-LazyMemmapStorage-SamplerWithoutReplacement-10000] 1.0721ms 0.4862ms 2.0569 KOps/s 2.0458 KOps/s $\color{#35bf28}+0.54\%$
test_rb_iterate[TensorDictReplayBuffer-LazyTensorStorage-SamplerWithoutReplacement-10000] 0.8518ms 0.4718ms 2.1193 KOps/s 2.1134 KOps/s $\color{#35bf28}+0.28\%$
test_rb_iterate[TensorDictPrioritizedReplayBuffer-ListStorage-None-4000] 3.8036ms 3.5502ms 281.6764 Ops/s 280.7859 Ops/s $\color{#35bf28}+0.32\%$
test_rb_iterate[TensorDictPrioritizedReplayBuffer-LazyMemmapStorage-None-10000] 0.7505ms 0.6299ms 1.5876 KOps/s 1.5829 KOps/s $\color{#35bf28}+0.30\%$
test_rb_iterate[TensorDictPrioritizedReplayBuffer-LazyTensorStorage-None-10000] 3.7456ms 0.6144ms 1.6275 KOps/s 1.6452 KOps/s $\color{#d91a1a}-1.08\%$
test_rb_populate[TensorDictReplayBuffer-ListStorage-RandomSampler-400] 0.1150s 7.9697ms 125.4757 Ops/s 124.7191 Ops/s $\color{#35bf28}+0.61\%$
test_rb_populate[TensorDictReplayBuffer-LazyMemmapStorage-RandomSampler-400] 14.3305ms 12.4261ms 80.4757 Ops/s 79.2560 Ops/s $\color{#35bf28}+1.54\%$
test_rb_populate[TensorDictReplayBuffer-LazyTensorStorage-RandomSampler-400] 1.9796ms 1.0747ms 930.5033 Ops/s 947.1344 Ops/s $\color{#d91a1a}-1.76\%$
test_rb_populate[TensorDictReplayBuffer-ListStorage-SamplerWithoutReplacement-400] 0.1069s 6.0793ms 164.4914 Ops/s 172.0175 Ops/s $\color{#d91a1a}-4.38\%$
test_rb_populate[TensorDictReplayBuffer-LazyMemmapStorage-SamplerWithoutReplacement-400] 15.0027ms 12.4494ms 80.3253 Ops/s 79.3396 Ops/s $\color{#35bf28}+1.24\%$
test_rb_populate[TensorDictReplayBuffer-LazyTensorStorage-SamplerWithoutReplacement-400] 3.9406ms 1.1231ms 890.3809 Ops/s 950.0402 Ops/s $\textbf{\color{#d91a1a}-6.28\%}$
test_rb_populate[TensorDictPrioritizedReplayBuffer-ListStorage-None-400] 0.1044s 5.8653ms 170.4942 Ops/s 168.0521 Ops/s $\color{#35bf28}+1.45\%$
test_rb_populate[TensorDictPrioritizedReplayBuffer-LazyMemmapStorage-None-400] 15.6011ms 12.6684ms 78.9368 Ops/s 78.3315 Ops/s $\color{#35bf28}+0.77\%$
test_rb_populate[TensorDictPrioritizedReplayBuffer-LazyTensorStorage-None-400] 1.9342ms 1.2300ms 813.0131 Ops/s 799.8057 Ops/s $\color{#35bf28}+1.65\%$

@github-actions GitHub Actions
Copy link

$\color{#D29922}\textsf{\Large&amp;#x26A0;\kern{0.2cm}\normalsize Warning}$ Result of GPU Benchmark Tests

Total Benchmarks: 94. Improved: $\large\color{#35bf28}1$. Worsened: $\large\color{#d91a1a}7$.

Expand to view detailed results
Name Max Mean Ops Ops on Repo HEAD Change
test_single 0.1232s 0.1200s 8.3347 Ops/s 8.4196 Ops/s $\color{#d91a1a}-1.01\%$
test_sync 0.1061s 0.1036s 9.6497 Ops/s 9.6532 Ops/s $\color{#d91a1a}-0.04\%$
test_async 0.1993s 98.2931ms 10.1737 Ops/s 10.4088 Ops/s $\color{#d91a1a}-2.26\%$
test_single_pixels 0.1292s 0.1290s 7.7523 Ops/s 7.7646 Ops/s $\color{#d91a1a}-0.16\%$
test_sync_pixels 84.5161ms 81.7042ms 12.2393 Ops/s 12.1442 Ops/s $\color{#35bf28}+0.78\%$
test_async_pixels 0.1533s 67.1110ms 14.9007 Ops/s 14.6908 Ops/s $\color{#35bf28}+1.43\%$
test_simple 0.8104s 0.8098s 1.2348 Ops/s 1.2262 Ops/s $\color{#35bf28}+0.71\%$
test_transformed 1.0664s 1.0661s 0.9380 Ops/s 0.9298 Ops/s $\color{#35bf28}+0.89\%$
test_serial 2.5512s 2.4893s 0.4017 Ops/s 0.3974 Ops/s $\color{#35bf28}+1.08\%$
test_parallel 2.4414s 2.3678s 0.4223 Ops/s 0.4200 Ops/s $\color{#35bf28}+0.55\%$
test_step_mdp_speed[True-True-True-True-True] 0.1193ms 34.2868μs 29.1658 KOps/s 28.6779 KOps/s $\color{#35bf28}+1.70\%$
test_step_mdp_speed[True-True-True-True-False] 0.1969ms 20.0913μs 49.7729 KOps/s 49.7505 KOps/s $\color{#35bf28}+0.04\%$
test_step_mdp_speed[True-True-True-False-True] 47.0010μs 19.2627μs 51.9139 KOps/s 51.1664 KOps/s $\color{#35bf28}+1.46\%$
test_step_mdp_speed[True-True-True-False-False] 70.2500μs 11.3413μs 88.1736 KOps/s 87.3757 KOps/s $\color{#35bf28}+0.91\%$
test_step_mdp_speed[True-True-False-True-True] 0.1607ms 36.1703μs 27.6470 KOps/s 27.4530 KOps/s $\color{#35bf28}+0.71\%$
test_step_mdp_speed[True-True-False-True-False] 44.5410μs 21.7929μs 45.8864 KOps/s 44.9835 KOps/s $\color{#35bf28}+2.01\%$
test_step_mdp_speed[True-True-False-False-True] 44.5510μs 21.4217μs 46.6816 KOps/s 46.1442 KOps/s $\color{#35bf28}+1.16\%$
test_step_mdp_speed[True-True-False-False-False] 33.2500μs 13.2716μs 75.3490 KOps/s 73.8272 KOps/s $\color{#35bf28}+2.06\%$
test_step_mdp_speed[True-False-True-True-True] 69.9310μs 38.1815μs 26.1907 KOps/s 25.8993 KOps/s $\color{#35bf28}+1.13\%$
test_step_mdp_speed[True-False-True-True-False] 0.1404ms 23.8698μs 41.8940 KOps/s 41.3250 KOps/s $\color{#35bf28}+1.38\%$
test_step_mdp_speed[True-False-True-False-True] 47.2910μs 21.1055μs 47.3810 KOps/s 46.1895 KOps/s $\color{#35bf28}+2.58\%$
test_step_mdp_speed[True-False-True-False-False] 33.0300μs 13.1821μs 75.8606 KOps/s 73.8621 KOps/s $\color{#35bf28}+2.71\%$
test_step_mdp_speed[True-False-False-True-True] 65.2310μs 39.7690μs 25.1452 KOps/s 25.0230 KOps/s $\color{#35bf28}+0.49\%$
test_step_mdp_speed[True-False-False-True-False] 49.4500μs 25.4994μs 39.2167 KOps/s 38.7133 KOps/s $\color{#35bf28}+1.30\%$
test_step_mdp_speed[True-False-False-False-True] 45.5410μs 23.1078μs 43.2754 KOps/s 42.7476 KOps/s $\color{#35bf28}+1.23\%$
test_step_mdp_speed[True-False-False-False-False] 0.1454ms 14.9467μs 66.9045 KOps/s 65.4756 KOps/s $\color{#35bf28}+2.18\%$
test_step_mdp_speed[False-True-True-True-True] 63.7200μs 37.9562μs 26.3462 KOps/s 26.0818 KOps/s $\color{#35bf28}+1.01\%$
test_step_mdp_speed[False-True-True-True-False] 45.7610μs 23.6832μs 42.2241 KOps/s 41.4602 KOps/s $\color{#35bf28}+1.84\%$
test_step_mdp_speed[False-True-True-False-True] 44.0800μs 25.5386μs 39.1564 KOps/s 38.5318 KOps/s $\color{#35bf28}+1.62\%$
test_step_mdp_speed[False-True-True-False-False] 40.0710μs 14.9864μs 66.7270 KOps/s 64.3609 KOps/s $\color{#35bf28}+3.68\%$
test_step_mdp_speed[False-True-False-True-True] 75.0910μs 39.2495μs 25.4780 KOps/s 24.9286 KOps/s $\color{#35bf28}+2.20\%$
test_step_mdp_speed[False-True-False-True-False] 41.5710μs 25.6008μs 39.0612 KOps/s 38.5915 KOps/s $\color{#35bf28}+1.22\%$
test_step_mdp_speed[False-True-False-False-True] 0.2086ms 27.2054μs 36.7574 KOps/s 35.9408 KOps/s $\color{#35bf28}+2.27\%$
test_step_mdp_speed[False-True-False-False-False] 38.4600μs 16.8436μs 59.3696 KOps/s 57.9632 KOps/s $\color{#35bf28}+2.43\%$
test_step_mdp_speed[False-False-True-True-True] 68.9810μs 41.6805μs 23.9920 KOps/s 23.7883 KOps/s $\color{#35bf28}+0.86\%$
test_step_mdp_speed[False-False-True-True-False] 48.0510μs 27.8988μs 35.8438 KOps/s 35.7070 KOps/s $\color{#35bf28}+0.38\%$
test_step_mdp_speed[False-False-True-False-True] 54.6310μs 27.2896μs 36.6440 KOps/s 36.3947 KOps/s $\color{#35bf28}+0.69\%$
test_step_mdp_speed[False-False-True-False-False] 38.9910μs 16.8906μs 59.2046 KOps/s 58.3899 KOps/s $\color{#35bf28}+1.40\%$
test_step_mdp_speed[False-False-False-True-True] 64.1400μs 43.4519μs 23.0140 KOps/s 22.9028 KOps/s $\color{#35bf28}+0.49\%$
test_step_mdp_speed[False-False-False-True-False] 55.6200μs 29.4249μs 33.9848 KOps/s 33.7990 KOps/s $\color{#35bf28}+0.55\%$
test_step_mdp_speed[False-False-False-False-True] 51.5500μs 28.4812μs 35.1108 KOps/s 34.8472 KOps/s $\color{#35bf28}+0.76\%$
test_step_mdp_speed[False-False-False-False-False] 91.1120μs 18.5227μs 53.9877 KOps/s 53.1589 KOps/s $\color{#35bf28}+1.56\%$
test_values[generalized_advantage_estimate-True-True] 26.8819ms 25.2369ms 39.6245 Ops/s 40.4081 Ops/s $\color{#d91a1a}-1.94\%$
test_values[vec_generalized_advantage_estimate-True-True] 95.8692ms 2.8166ms 355.0327 Ops/s 363.5935 Ops/s $\color{#d91a1a}-2.35\%$
test_values[td0_return_estimate-False-False] 89.5310μs 65.6460μs 15.2332 KOps/s 14.8522 KOps/s $\color{#35bf28}+2.57\%$
test_values[td1_return_estimate-False-False] 60.0118ms 59.4123ms 16.8315 Ops/s 18.1729 Ops/s $\textbf{\color{#d91a1a}-7.38\%}$
test_values[vec_td1_return_estimate-False-False] 1.4829ms 1.0999ms 909.2100 Ops/s 917.9444 Ops/s $\color{#d91a1a}-0.95\%$
test_values[td_lambda_return_estimate-True-False] 95.4496ms 94.6205ms 10.5685 Ops/s 11.5088 Ops/s $\textbf{\color{#d91a1a}-8.17\%}$
test_values[vec_td_lambda_return_estimate-True-False] 1.4788ms 1.0895ms 917.8754 Ops/s 920.6039 Ops/s $\color{#d91a1a}-0.30\%$
test_gae_speed[generalized_advantage_estimate-False-1-512] 26.8246ms 26.3212ms 37.9921 Ops/s 40.3338 Ops/s $\textbf{\color{#d91a1a}-5.81\%}$
test_gae_speed[vec_generalized_advantage_estimate-True-1-512] 0.9554ms 0.7252ms 1.3789 KOps/s 1.3816 KOps/s $\color{#d91a1a}-0.19\%$
test_gae_speed[vec_generalized_advantage_estimate-False-1-512] 0.8274ms 0.6707ms 1.4910 KOps/s 1.4907 KOps/s $\color{#35bf28}+0.02\%$
test_gae_speed[vec_generalized_advantage_estimate-True-32-512] 1.6176ms 1.4771ms 677.0029 Ops/s 679.4629 Ops/s $\color{#d91a1a}-0.36\%$
test_gae_speed[vec_generalized_advantage_estimate-False-32-512] 0.8416ms 0.6861ms 1.4575 KOps/s 1.4553 KOps/s $\color{#35bf28}+0.15\%$
test_dqn_speed 80.5804ms 1.6176ms 618.1996 Ops/s 662.2149 Ops/s $\textbf{\color{#d91a1a}-6.65\%}$
test_ddpg_speed 3.2667ms 3.0304ms 329.9841 Ops/s 329.1763 Ops/s $\color{#35bf28}+0.25\%$
test_sac_speed 9.2420ms 8.5431ms 117.0531 Ops/s 115.2498 Ops/s $\color{#35bf28}+1.56\%$
test_redq_speed 11.8120ms 10.8139ms 92.4735 Ops/s 91.7499 Ops/s $\color{#35bf28}+0.79\%$
test_redq_deprec_speed 0.1085s 12.7741ms 78.2836 Ops/s 84.2524 Ops/s $\textbf{\color{#d91a1a}-7.08\%}$
test_td3_speed 8.6055ms 8.5137ms 117.4576 Ops/s 114.3968 Ops/s $\color{#35bf28}+2.68\%$
test_cql_speed 26.9418ms 26.3344ms 37.9731 Ops/s 37.7495 Ops/s $\color{#35bf28}+0.59\%$
test_a2c_speed 6.0746ms 5.8249ms 171.6773 Ops/s 173.4191 Ops/s $\color{#d91a1a}-1.00\%$
test_ppo_speed 6.8971ms 6.1405ms 162.8526 Ops/s 163.9291 Ops/s $\color{#d91a1a}-0.66\%$
test_reinforce_speed 4.9748ms 4.7670ms 209.7736 Ops/s 209.5239 Ops/s $\color{#35bf28}+0.12\%$
test_iql_speed 20.6124ms 19.9671ms 50.0823 Ops/s 50.0427 Ops/s $\color{#35bf28}+0.08\%$
test_rb_sample[TensorDictReplayBuffer-ListStorage-RandomSampler-4000] 4.7636ms 4.6183ms 216.5320 Ops/s 215.6513 Ops/s $\color{#35bf28}+0.41\%$
test_rb_sample[TensorDictReplayBuffer-LazyMemmapStorage-RandomSampler-10000] 0.7696ms 0.5949ms 1.6808 KOps/s 1.6623 KOps/s $\color{#35bf28}+1.12\%$
test_rb_sample[TensorDictReplayBuffer-LazyTensorStorage-RandomSampler-10000] 4.4924ms 0.5748ms 1.7398 KOps/s 1.7364 KOps/s $\color{#35bf28}+0.20\%$
test_rb_sample[TensorDictReplayBuffer-ListStorage-SamplerWithoutReplacement-4000] 4.8464ms 4.6025ms 217.2729 Ops/s 217.6254 Ops/s $\color{#d91a1a}-0.16\%$
test_rb_sample[TensorDictReplayBuffer-LazyMemmapStorage-SamplerWithoutReplacement-10000] 0.7713ms 0.5909ms 1.6923 KOps/s 1.6779 KOps/s $\color{#35bf28}+0.86\%$
test_rb_sample[TensorDictReplayBuffer-LazyTensorStorage-SamplerWithoutReplacement-10000] 0.8235ms 0.5673ms 1.7627 KOps/s 1.7422 KOps/s $\color{#35bf28}+1.18\%$
test_rb_sample[TensorDictReplayBuffer-LazyMemmapStorage-sampler6-10000] 2.3371ms 2.1247ms 470.6452 Ops/s 459.2899 Ops/s $\color{#35bf28}+2.47\%$
test_rb_sample[TensorDictReplayBuffer-LazyTensorStorage-sampler7-10000] 2.2297ms 2.0116ms 497.1202 Ops/s 486.0605 Ops/s $\color{#35bf28}+2.28\%$
test_rb_sample[TensorDictPrioritizedReplayBuffer-ListStorage-None-4000] 4.9422ms 4.7383ms 211.0452 Ops/s 210.5840 Ops/s $\color{#35bf28}+0.22\%$
test_rb_sample[TensorDictPrioritizedReplayBuffer-LazyMemmapStorage-None-10000] 0.1304s 0.8851ms 1.1298 KOps/s 1.3224 KOps/s $\textbf{\color{#d91a1a}-14.56\%}$
test_rb_sample[TensorDictPrioritizedReplayBuffer-LazyTensorStorage-None-10000] 0.8699ms 0.7210ms 1.3870 KOps/s 1.3462 KOps/s $\color{#35bf28}+3.03\%$
test_rb_iterate[TensorDictReplayBuffer-ListStorage-RandomSampler-4000] 6.4556ms 4.7647ms 209.8747 Ops/s 216.7063 Ops/s $\color{#d91a1a}-3.15\%$
test_rb_iterate[TensorDictReplayBuffer-LazyMemmapStorage-RandomSampler-10000] 0.8421ms 0.5959ms 1.6782 KOps/s 1.6683 KOps/s $\color{#35bf28}+0.60\%$
test_rb_iterate[TensorDictReplayBuffer-LazyTensorStorage-RandomSampler-10000] 4.7049ms 0.5779ms 1.7303 KOps/s 1.7282 KOps/s $\color{#35bf28}+0.12\%$
test_rb_iterate[TensorDictReplayBuffer-ListStorage-SamplerWithoutReplacement-4000] 4.8723ms 4.6025ms 217.2751 Ops/s 218.4996 Ops/s $\color{#d91a1a}-0.56\%$
test_rb_iterate[TensorDictReplayBuffer-LazyMemmapStorage-SamplerWithoutReplacement-10000] 0.1265s 0.7769ms 1.2872 KOps/s 1.6786 KOps/s $\textbf{\color{#d91a1a}-23.31\%}$
test_rb_iterate[TensorDictReplayBuffer-LazyTensorStorage-SamplerWithoutReplacement-10000] 0.7289ms 0.5664ms 1.7654 KOps/s 1.7458 KOps/s $\color{#35bf28}+1.12\%$
test_rb_iterate[TensorDictPrioritizedReplayBuffer-ListStorage-None-4000] 4.9381ms 4.7599ms 210.0899 Ops/s 208.9765 Ops/s $\color{#35bf28}+0.53\%$
test_rb_iterate[TensorDictPrioritizedReplayBuffer-LazyMemmapStorage-None-10000] 0.9146ms 0.7436ms 1.3448 KOps/s 1.3265 KOps/s $\color{#35bf28}+1.38\%$
test_rb_iterate[TensorDictPrioritizedReplayBuffer-LazyTensorStorage-None-10000] 4.9564ms 0.7336ms 1.3632 KOps/s 1.3668 KOps/s $\color{#d91a1a}-0.27\%$
test_rb_populate[TensorDictReplayBuffer-ListStorage-RandomSampler-400] 0.1297s 7.5110ms 133.1384 Ops/s 132.1442 Ops/s $\color{#35bf28}+0.75\%$
test_rb_populate[TensorDictReplayBuffer-LazyMemmapStorage-RandomSampler-400] 18.3278ms 15.7261ms 63.5884 Ops/s 62.8461 Ops/s $\color{#35bf28}+1.18\%$
test_rb_populate[TensorDictReplayBuffer-LazyTensorStorage-RandomSampler-400] 2.5858ms 1.3454ms 743.2634 Ops/s 760.0069 Ops/s $\color{#d91a1a}-2.20\%$
test_rb_populate[TensorDictReplayBuffer-ListStorage-SamplerWithoutReplacement-400] 0.1288s 9.9584ms 100.4182 Ops/s 100.3640 Ops/s $\color{#35bf28}+0.05\%$
test_rb_populate[TensorDictReplayBuffer-LazyMemmapStorage-SamplerWithoutReplacement-400] 18.6051ms 15.7119ms 63.6461 Ops/s 62.8111 Ops/s $\color{#35bf28}+1.33\%$
test_rb_populate[TensorDictReplayBuffer-LazyTensorStorage-SamplerWithoutReplacement-400] 2.5834ms 1.3368ms 748.0423 Ops/s 752.7290 Ops/s $\color{#d91a1a}-0.62\%$
test_rb_populate[TensorDictPrioritizedReplayBuffer-ListStorage-None-400] 0.1270s 7.6309ms 131.0461 Ops/s 131.3218 Ops/s $\color{#d91a1a}-0.21\%$
test_rb_populate[TensorDictPrioritizedReplayBuffer-LazyMemmapStorage-None-400] 18.7081ms 15.8562ms 63.0668 Ops/s 62.2987 Ops/s $\color{#35bf28}+1.23\%$
test_rb_populate[TensorDictPrioritizedReplayBuffer-LazyTensorStorage-None-400] 2.7689ms 1.5116ms 661.5633 Ops/s 615.5215 Ops/s $\textbf{\color{#35bf28}+7.48\%}$

@vmoens vmoens merged commit 849b3de into main Jun 26, 2024
53 of 58 checks passed
@dependabot dependabot bot deleted the dependabot/pip/docs/jinja2-3.1.4 branch June 26, 2024 11:41
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Reviewers
No reviews
Assignees
No one assigned
Labels
CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. dependencies Pull requests that update a dependency file
Projects
None yet
Milestone
No milestone
Development

Successfully merging this pull request may close these issues.
2 participants
@facebook-github-bot @vmoens