ฝึก MicroDuck บนเครื่อง: ทดสอบ GPU สั้นก่อน

คำสั่งของรุ่นต้นฉบับนี้

git clone https://github.com/pollen-robotics/microduck_rl.git microduck-rl-first-run
cd microduck-rl-first-run
git checkout --detach 2b25a48b08f1f17bc38c90bb03144c81fbd9ed07
uv python install 3.12
uv sync --locked --python 3.12

uv run python - <<'PY'
import platform
import torch
print("Python:", platform.python_version())
print("Machine:", platform.system(), platform.machine())
print("PyTorch:", torch.__version__)
print("Built for CUDA:", torch.version.cuda)
print("CUDA available:", torch.cuda.is_available())
print("GPU count:", torch.cuda.device_count())
if torch.cuda.is_available():
    print("GPU:", torch.cuda.get_device_name(0))
PY

uv run list-envs

uv run train Mjlab-Velocity-Flat-MicroDuck \
  --env.scene.num-envs 64 \
  --agent.max_iterations 5

uv run train Mjlab-Velocity-Flat-MicroDuck \
  --env.scene.num-envs 64 \
  --agent.max_iterations 5 \
  --hf-jobs --timeout 1h --dry-run