We are unable to generate a replay of your agent, the package_to_hub process continues

[zhang705]

ℹ This function will save, evaluate, generate a video of your agent, create a model card and push everything to the hub. It might take up to 1min. This is a work in progress: if you encounter a bug, please open an issue. Saving video to /tmp/tmpvyt4jgex/-step-0-to-step-1000.mp4 /usr/local/lib/python3.11/dist-packages/moviepy/config_defaults.py:1: DeprecationWarning: invalid escape sequence '\P' """ Moviepy - Building video /tmp/tmpvyt4jgex/-step-0-to-step-1000.mp4. Moviepy - Writing video /tmp/tmpvyt4jgex/-step-0-to-step-1000.mp4

Moviepy - Done ! Moviepy - video ready /tmp/tmpvyt4jgex/-step-0-to-step-1000.mp4 ✘ 'DummyVecEnv' object has no attribute 'video_recorder' ✘ We are unable to generate a replay of your agent, the package_to_hub process continues ✘ Please open an issue at https://github.com/huggingface/huggingface_sb3/issues ℹ Pushing repo zhngq/a2c-PandaReachDense-v3 to the Hugging Face Hub policy.pth: 100%  46.3k/46.3k [00:00<00:00, 84.9kB/s] policy.optimizer.pth: 100%  48.2k/48.2k [00:00<00:00, 84.8kB/s] Upload 5 LFS files: 100%  5/5 [00:00<00:00,  2.28it/s] pytorch_variables.pth: 100%  864/864 [00:00<00:00, 7.48kB/s] vec_normalize.pkl: 100%  2.66k/2.66k [00:00<00:00, 21.7kB/s] a2c-PandaReachDense-v3.zip: 100%  114k/114k [00:00<00:00, 155kB/s] ℹ Your model is pushed to the Hub. You can view your model here: https://huggingface.co/zhngq/a2c-PandaReachDense-v3/tree/main/