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Antigravity Agent
Deploy Neuro-Flyt 3D Training
6083286
raw
history blame contribute delete
9.92 kB
 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=57/59)
Dockerfile
622 100% 607.42kB/s 0:00:00 622 100% 607.42kB/s 0:00:00 (xfr#2, to-chk=56/59)
README.md
924 100% 902.34kB/s 0:00:00 924 100% 902.34kB/s 0:00:00 (xfr#3, to-chk=55/59)
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=54/59)
debug_imports.py
620 100% 605.47kB/s 0:00:00 620 100% 605.47kB/s 0:00:00 (xfr#5, to-chk=53/59)
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=52/59)
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=51/59)
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=50/59)
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=49/59)
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=48/59)
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=47/59)
demo_log_5.txt
295 100% 288.09kB/s 0:00:00 295 100% 288.09kB/s 0:00:00 (xfr#12, to-chk=46/59)
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=45/59)
deploy_log_2.txt
1,746 100% 1.67MB/s 0:00:00 1,746 100% 1.67MB/s 0:00:00 (xfr#14, to-chk=44/59)
install_log.txt
14,311 100% 13.65MB/s 0:00:00 14,311 100% 13.65MB/s 0:00:00 (xfr#15, to-chk=43/59)
interactive_log.txt
236 100% 230.47kB/s 0:00:00 236 100% 230.47kB/s 0:00:00 (xfr#16, to-chk=42/59)
main.py
4,348 100% 4.15MB/s 0:00:00 4,348 100% 4.15MB/s 0:00:00 (xfr#17, to-chk=41/59)
output.txt
281 100% 274.41kB/s 0:00:00 281 100% 274.41kB/s 0:00:00 (xfr#18, to-chk=40/59)
pip_log.txt
5,014 100% 4.78MB/s 0:00:00 5,014 100% 4.78MB/s 0:00:00 (xfr#19, to-chk=39/59)
pybullet_bin_log.txt
223 100% 217.77kB/s 0:00:00 223 100% 217.77kB/s 0:00:00 (xfr#20, to-chk=38/59)
pybullet_log.txt
32,768 25% 31.25MB/s 0:00:00 129,509 100% 123.51MB/s 0:00:00 (xfr#21, to-chk=37/59)
pygame_log.txt
219 100% 213.87kB/s 0:00:00 219 100% 213.87kB/s 0:00:00 (xfr#22, to-chk=36/59)
requirements.txt
194 100% 189.45kB/s 0:00:00 194 100% 189.45kB/s 0:00:00 (xfr#23, to-chk=35/59)
run_demo.sh
178 100% 173.83kB/s 0:00:00 178 100% 173.83kB/s 0:00:00 (xfr#24, to-chk=34/59)
setup.sh
978 100% 955.08kB/s 0:00:00 978 100% 955.08kB/s 0:00:00 (xfr#25, to-chk=33/59)
test_log.txt
964 100% 941.41kB/s 0:00:00 964 100% 941.41kB/s 0:00:00 (xfr#26, to-chk=32/59)
test_physics.py
1,311 100% 1.25MB/s 0:00:00 1,311 100% 1.25MB/s 0:00:00 (xfr#27, to-chk=31/59)
test_random_1.txt
318 100% 310.55kB/s 0:00:00 318 100% 310.55kB/s 0:00:00 (xfr#28, to-chk=30/59)
test_random_2.txt
315 100% 307.62kB/s 0:00:00 315 100% 307.62kB/s 0:00:00 (xfr#29, to-chk=29/59)
test_result_final.txt
263 100% 256.84kB/s 0:00:00 263 100% 256.84kB/s 0:00:00 (xfr#30, to-chk=28/59)
test_success.txt
263 100% 128.42kB/s 0:00:00 263 100% 128.42kB/s 0:00:00 (xfr#31, to-chk=27/59)
train.py
1,205 100% 588.38kB/s 0:00:00 1,205 100% 588.38kB/s 0:00:00 (xfr#32, to-chk=26/59)
train_hf.py
2,277 100% 1.09MB/s 0:00:00 2,277 100% 1.09MB/s 0:00:00 (xfr#33, to-chk=25/59)
train_log_500k.txt
32,768 39% 15.62MB/s 0:00:00 83,713 100% 39.92MB/s 0:00:00 (xfr#34, to-chk=24/59)
train_log_full.txt
3,044 100% 1.45MB/s 0:00:00 3,044 100% 1.45MB/s 0:00:00 (xfr#35, to-chk=23/59)
train_log_retry.txt
14,709 100% 7.01MB/s 0:00:00 14,709 100% 7.01MB/s 0:00:00 (xfr#36, to-chk=22/59)
demo/
demo/__init__.py
39 100% 19.04kB/s 0:00:00 39 100% 19.04kB/s 0:00:00 (xfr#37, to-chk=15/59)
demo/visualize_drone.py
16,089 100% 7.67MB/s 0:00:00 16,089 100% 7.67MB/s 0:00:00 (xfr#38, to-chk=14/59)
env/
env/__init__.py
62 100% 30.27kB/s 0:00:00 62 100% 30.27kB/s 0:00:00 (xfr#39, to-chk=13/59)
env/drone_3d.py
5,304 100% 2.53MB/s 0:00:00 5,304 100% 2.53MB/s 0:00:00 (xfr#40, to-chk=12/59)
env/drone_env.py
10,099 100% 4.82MB/s 0:00:00 10,099 100% 4.82MB/s 0:00:00 (xfr#41, to-chk=11/59)
eval/
eval/__init__.py
41 100% 20.02kB/s 0:00:00 41 100% 20.02kB/s 0:00:00 (xfr#42, to-chk=10/59)
eval/eval_liquid_policy.py
5,742 100% 2.74MB/s 0:00:00 5,742 100% 2.74MB/s 0:00:00 (xfr#43, to-chk=9/59)
eval/eval_mlp_baseline.py
5,570 100% 2.66MB/s 0:00:00 5,570 100% 2.66MB/s 0:00:00 (xfr#44, to-chk=8/59)
models/
models/__init__.py
44 100% 21.48kB/s 0:00:00 44 100% 21.48kB/s 0:00:00 (xfr#45, to-chk=7/59)
models/liquid_cell.py
3,168 100% 1.51MB/s 0:00:00 3,168 100% 1.51MB/s 0:00:00 (xfr#46, to-chk=6/59)
models/liquid_policy.py
2,690 100% 1.28MB/s 0:00:00 2,690 100% 1.28MB/s 0:00:00 (xfr#47, to-chk=5/59)
models/liquid_ppo.py
4,141 100% 1.32MB/s 0:00:00 4,141 100% 1.32MB/s 0:00:00 (xfr#48, to-chk=4/59)
train/
train/__init__.py
39 100% 12.70kB/s 0:00:00 39 100% 12.70kB/s 0:00:00 (xfr#49, to-chk=3/59)
train/train_liquid_ppo.py
6,619 100% 2.10MB/s 0:00:00 6,619 100% 2.10MB/s 0:00:00 (xfr#50, to-chk=2/59)
train/train_mlp_ppo.py
4,442 100% 1.41MB/s 0:00:00 4,442 100% 1.41MB/s 0:00:00 (xfr#51, to-chk=1/59)
utils/
utils/__init__.py
38 100% 12.37kB/s 0:00:00 38 100% 12.37kB/s 0:00:00 (xfr#52, to-chk=0/59)
sent 377,911 bytes received 1,040 bytes 757,902.00 bytes/sec
total size is 372,344 speedup is 0.98
[main ae22fc1] Deploy Neuro-Flyt 3D Training
52 files changed, 9501 insertions(+), 10 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 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/neuro-flyt-training
c98f107..ae22fc1 main -> main
Deployment Complete!