Cloning Space... Cloning into 'hf_deploy'... Copying files... sending incremental file list .gitignore 536 100% 0.00kB/s 0:00:00 536 100% 0.00kB/s 0:00:00 (xfr#1, to-chk=58/60) Dockerfile 622 100% 607.42kB/s 0:00:00 622 100% 607.42kB/s 0:00:00 (xfr#2, to-chk=57/60) README.md 924 100% 902.34kB/s 0:00:00 924 100% 902.34kB/s 0:00:00 (xfr#3, to-chk=56/60) README_HF.md 3,598 100% 3.43MB/s 0:00:00 3,598 100% 3.43MB/s 0:00:00 (xfr#4, to-chk=55/60) debug_imports.py 620 100% 605.47kB/s 0:00:00 620 100% 605.47kB/s 0:00:00 (xfr#5, to-chk=54/60) demo_3d.py 2,198 100% 2.10MB/s 0:00:00 2,198 100% 2.10MB/s 0:00:00 (xfr#6, to-chk=53/60) demo_interactive.py 4,050 100% 3.86MB/s 0:00:00 4,050 100% 3.86MB/s 0:00:00 (xfr#7, to-chk=52/60) demo_log.txt 2,580 100% 2.46MB/s 0:00:00 2,580 100% 2.46MB/s 0:00:00 (xfr#8, to-chk=51/60) demo_log_2.txt 2,652 100% 2.53MB/s 0:00:00 2,652 100% 2.53MB/s 0:00:00 (xfr#9, to-chk=50/60) demo_log_3.txt 5,276 100% 5.03MB/s 0:00:00 5,276 100% 5.03MB/s 0:00:00 (xfr#10, to-chk=49/60) demo_log_4.txt 5,276 100% 5.03MB/s 0:00:00 5,276 100% 5.03MB/s 0:00:00 (xfr#11, to-chk=48/60) demo_log_5.txt 295 100% 288.09kB/s 0:00:00 295 100% 288.09kB/s 0:00:00 (xfr#12, to-chk=47/60) deploy_log.txt 15,625 100% 14.90MB/s 0:00:00 15,625 100% 14.90MB/s 0:00:00 (xfr#13, to-chk=46/60) deploy_log_2.txt 9,919 100% 9.46MB/s 0:00:00 9,919 100% 9.46MB/s 0:00:00 (xfr#14, to-chk=45/60) deploy_team22_log.txt 1,877 100% 1.79MB/s 0:00:00 1,877 100% 1.79MB/s 0:00:00 (xfr#15, to-chk=44/60) install_log.txt 14,311 100% 13.65MB/s 0:00:00 14,311 100% 13.65MB/s 0:00:00 (xfr#16, to-chk=43/60) interactive_log.txt 236 100% 230.47kB/s 0:00:00 236 100% 230.47kB/s 0:00:00 (xfr#17, to-chk=42/60) main.py 4,348 100% 4.15MB/s 0:00:00 4,348 100% 4.15MB/s 0:00:00 (xfr#18, to-chk=41/60) output.txt 281 100% 274.41kB/s 0:00:00 281 100% 274.41kB/s 0:00:00 (xfr#19, to-chk=40/60) pip_log.txt 5,014 100% 4.78MB/s 0:00:00 5,014 100% 4.78MB/s 0:00:00 (xfr#20, to-chk=39/60) pybullet_bin_log.txt 223 100% 217.77kB/s 0:00:00 223 100% 217.77kB/s 0:00:00 (xfr#21, to-chk=38/60) pybullet_log.txt 32,768 25% 31.25MB/s 0:00:00 129,509 100% 13.72MB/s 0:00:00 (xfr#22, to-chk=37/60) pygame_log.txt 219 100% 23.76kB/s 0:00:00 219 100% 23.76kB/s 0:00:00 (xfr#23, to-chk=36/60) requirements.txt 194 100% 21.05kB/s 0:00:00 194 100% 21.05kB/s 0:00:00 (xfr#24, to-chk=35/60) run_demo.sh 178 100% 19.31kB/s 0:00:00 178 100% 19.31kB/s 0:00:00 (xfr#25, to-chk=34/60) setup.sh 978 100% 106.12kB/s 0:00:00 978 100% 106.12kB/s 0:00:00 (xfr#26, to-chk=33/60) test_log.txt 964 100% 104.60kB/s 0:00:00 964 100% 104.60kB/s 0:00:00 (xfr#27, to-chk=32/60) test_physics.py 1,311 100% 142.25kB/s 0:00:00 1,311 100% 142.25kB/s 0:00:00 (xfr#28, to-chk=31/60) test_random_1.txt 318 100% 34.51kB/s 0:00:00 318 100% 34.51kB/s 0:00:00 (xfr#29, to-chk=30/60) test_random_2.txt 315 100% 34.18kB/s 0:00:00 315 100% 34.18kB/s 0:00:00 (xfr#30, to-chk=29/60) test_result_final.txt 263 100% 28.54kB/s 0:00:00 263 100% 28.54kB/s 0:00:00 (xfr#31, to-chk=28/60) test_success.txt 263 100% 28.54kB/s 0:00:00 263 100% 28.54kB/s 0:00:00 (xfr#32, to-chk=27/60) train.py 1,205 100% 130.75kB/s 0:00:00 1,205 100% 130.75kB/s 0:00:00 (xfr#33, to-chk=26/60) train_hf.py 2,277 100% 247.07kB/s 0:00:00 2,277 100% 247.07kB/s 0:00:00 (xfr#34, to-chk=25/60) train_log_500k.txt 32,768 39% 3.47MB/s 0:00:00 83,713 100% 5.70MB/s 0:00:00 (xfr#35, to-chk=24/60) train_log_full.txt 3,044 100% 198.18kB/s 0:00:00 3,044 100% 198.18kB/s 0:00:00 (xfr#36, to-chk=23/60) train_log_retry.txt 14,709 100% 957.62kB/s 0:00:00 14,709 100% 957.62kB/s 0:00:00 (xfr#37, to-chk=22/60) demo/ demo/__init__.py 39 100% 2.54kB/s 0:00:00 39 100% 2.54kB/s 0:00:00 (xfr#38, to-chk=15/60) demo/visualize_drone.py 16,089 100% 1.02MB/s 0:00:00 16,089 100% 1.02MB/s 0:00:00 (xfr#39, to-chk=14/60) env/ env/__init__.py 62 100% 4.04kB/s 0:00:00 62 100% 4.04kB/s 0:00:00 (xfr#40, to-chk=13/60) env/drone_3d.py 5,304 100% 345.31kB/s 0:00:00 5,304 100% 345.31kB/s 0:00:00 (xfr#41, to-chk=12/60) env/drone_env.py 10,099 100% 657.49kB/s 0:00:00 10,099 100% 657.49kB/s 0:00:00 (xfr#42, to-chk=11/60) eval/ eval/__init__.py 41 100% 2.67kB/s 0:00:00 41 100% 2.67kB/s 0:00:00 (xfr#43, to-chk=10/60) eval/eval_liquid_policy.py 5,742 100% 373.83kB/s 0:00:00 5,742 100% 373.83kB/s 0:00:00 (xfr#44, to-chk=9/60) eval/eval_mlp_baseline.py 5,570 100% 362.63kB/s 0:00:00 5,570 100% 362.63kB/s 0:00:00 (xfr#45, to-chk=8/60) models/ models/__init__.py 44 100% 2.86kB/s 0:00:00 44 100% 2.86kB/s 0:00:00 (xfr#46, to-chk=7/60) models/liquid_cell.py 3,168 100% 206.25kB/s 0:00:00 3,168 100% 206.25kB/s 0:00:00 (xfr#47, to-chk=6/60) models/liquid_policy.py 2,690 100% 175.13kB/s 0:00:00 2,690 100% 175.13kB/s 0:00:00 (xfr#48, to-chk=5/60) models/liquid_ppo.py 4,141 100% 192.57kB/s 0:00:00 4,141 100% 183.82kB/s 0:00:00 (xfr#49, to-chk=4/60) train/ train/__init__.py 39 100% 1.73kB/s 0:00:00 39 100% 1.73kB/s 0:00:00 (xfr#50, to-chk=3/60) train/train_liquid_ppo.py 6,619 100% 293.81kB/s 0:00:00 6,619 100% 293.81kB/s 0:00:00 (xfr#51, to-chk=2/60) train/train_mlp_ppo.py 4,442 100% 197.18kB/s 0:00:00 4,442 100% 197.18kB/s 0:00:00 (xfr#52, to-chk=1/60) utils/ utils/__init__.py 38 100% 1.69kB/s 0:00:00 38 100% 1.69kB/s 0:00:00 (xfr#53, to-chk=0/60) sent 388,029 bytes received 1,059 bytes 778,176.00 bytes/sec total size is 382,263 speedup is 0.98 [main 6083286] Deploy Neuro-Flyt 3D Training 53 files changed, 9686 insertions(+), 11 deletions(-) create mode 100644 .gitignore create mode 100644 Dockerfile create mode 100644 README_HF.md create mode 100644 debug_imports.py create mode 100644 demo/__init__.py create mode 100644 demo/visualize_drone.py create mode 100644 demo_3d.py create mode 100644 demo_interactive.py create mode 100644 demo_log.txt create mode 100644 demo_log_2.txt create mode 100644 demo_log_3.txt create mode 100644 demo_log_4.txt create mode 100644 demo_log_5.txt create mode 100644 deploy_log.txt create mode 100644 deploy_log_2.txt create mode 100644 deploy_team22_log.txt create mode 100644 env/__init__.py create mode 100644 env/drone_3d.py create mode 100644 env/drone_env.py create mode 100644 eval/__init__.py create mode 100644 eval/eval_liquid_policy.py create mode 100644 eval/eval_mlp_baseline.py create mode 100644 install_log.txt create mode 100644 interactive_log.txt create mode 100644 main.py create mode 100644 models/__init__.py create mode 100644 models/liquid_cell.py create mode 100644 models/liquid_policy.py create mode 100644 models/liquid_ppo.py create mode 100644 output.txt create mode 100644 pip_log.txt create mode 100644 pybullet_bin_log.txt create mode 100644 pybullet_log.txt create mode 100644 pygame_log.txt create mode 100644 requirements.txt create mode 100755 run_demo.sh create mode 100755 setup.sh create mode 100644 test_log.txt create mode 100644 test_physics.py create mode 100644 test_random_1.txt create mode 100644 test_random_2.txt create mode 100644 test_result_final.txt create mode 100644 test_success.txt create mode 100644 train.py create mode 100644 train/__init__.py create mode 100644 train/train_liquid_ppo.py create mode 100644 train/train_mlp_ppo.py create mode 100644 train_hf.py create mode 100644 train_log_500k.txt create mode 100644 train_log_full.txt create mode 100644 train_log_retry.txt create mode 100644 utils/__init__.py remote: ------------------------------------------------------------------------- remote: Your push was accepted, but with warnings:  remote: - Warning: empty or missing yaml metadata in repo card remote: help: https://huggingface.co/docs/hub/spaces-config-reference remote: ------------------------------------------------------------------------- remote: ------------------------------------------------------------------------- remote: Please find the documentation at: remote: https://huggingface.co/docs/hub/model-cards#model-card-metadata remote:  remote: ------------------------------------------------------------------------- To https://huggingface.co/spaces/iteratehack/team_22 0c9c53a..6083286 main -> main Deployment Complete!