Skip to content
Continuous Benchmark

[Feature] Add KL approximation in PPO loss metadata #6022

Sign in to view logs

[Feature] Add KL approximation in PPO loss metadata

[Feature] Add KL approximation in PPO loss metadata #6022

Re-run triggered May 21, 2024 22:04
@vmoensvmoens
#2166
PyTorchRL:ppo_kl_metric
Status Success
Total duration 11m 12s
Artifacts –

benchmarks.yml

on: pull_request
CPU Pytest benchmark
6m 48s
CPU Pytest benchmark
GPU Pytest benchmark
8m 6s
GPU Pytest benchmark
Fit to window
Zoom out
Zoom in

Annotations

1 error and 2 warnings
GPU Pytest benchmark
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
CPU Pytest benchmark
Node.js 16 actions are deprecated. Please update the following actions to use Node.js 20: actions/checkout@v3, actions/setup-python@v4. For more information see: https://github.blog/changelog/2023-09-22-github-actions-transitioning-from-node-16-to-node-20/.
GPU Pytest benchmark
Node.js 16 actions are deprecated. Please update the following actions to use Node.js 20: actions/checkout@v3, actions/setup-python@v4. For more information see: https://github.blog/changelog/2023-09-22-github-actions-transitioning-from-node-16-to-node-20/.