32a241c28f
Some checks failed
nightly / Test against latest dependencies (py3.10) (push) Has been cancelled
nightly / Test against latest dependencies (py3.13) (push) Has been cancelled
tests / tests (3.13, locked) (push) Has been cancelled
tests / tests (3.13, unlocked) (push) Has been cancelled
tests / pyright (3.10) (push) Has been cancelled
tests / lint-format (push) Has been cancelled
tests / tests (3.10, locked) (push) Has been cancelled
tests / tests (3.11, locked) (push) Has been cancelled
tests / tests (3.12, locked) (push) Has been cancelled
tests / pyright (3.11) (push) Has been cancelled
tests / pyright (3.12) (push) Has been cancelled
tests / pyright (3.13) (push) Has been cancelled
tests / ty-check (3.10) (push) Has been cancelled
tests / ty-check (3.11) (push) Has been cancelled
tests / ty-check (3.12) (push) Has been cancelled
tests / ty-check (3.13) (push) Has been cancelled
tests / stubs (push) Has been cancelled
tests / smoke-test (push) Has been cancelled
Docker / check_paths (push) Has been cancelled
docs / build (push) Has been cancelled
Docker / build (push) Has been cancelled
Upstream: https://github.com/michaelgillett/mjlab Upstream-Commit: c19f713c415a699a79d71cd96aa13c3104a05047 Upstream-Branch: main
48 lines
1.2 KiB
YAML
48 lines
1.2 KiB
YAML
# SkyPilot task for launching mjlab training on Lambda Cloud.
|
|
#
|
|
# Uses the pre-built Docker image from GHCR.
|
|
#
|
|
# Usage:
|
|
# sky launch scripts/cloud/train-docker.yaml \
|
|
# --env TASK=Mjlab-Velocity-Flat-Unitree-G1
|
|
|
|
name: mjlab-train
|
|
|
|
resources:
|
|
cloud: lambda
|
|
accelerators: A100:1
|
|
autostop:
|
|
idle_minutes: 5
|
|
down: true # Terminates the instance when idle (stops billing).
|
|
|
|
workdir: .
|
|
|
|
file_mounts:
|
|
~/.netrc: ~/.netrc
|
|
|
|
envs:
|
|
TASK: Mjlab-Velocity-Flat-Unitree-G1
|
|
NUM_ENVS: "4096"
|
|
MAX_ITERATIONS: "6000"
|
|
MUJOCO_GL: egl
|
|
|
|
setup: |
|
|
# Configure NVIDIA runtime for Docker if not already set up.
|
|
if ! sudo docker info 2>/dev/null | grep -q "nvidia"; then
|
|
sudo nvidia-ctk runtime configure --runtime=docker
|
|
sudo systemctl restart docker
|
|
sleep 3 # Wait for the daemon to be ready before pulling.
|
|
fi
|
|
|
|
sudo docker pull ghcr.io/mujocolab/mjlab:latest
|
|
|
|
run: |
|
|
sudo docker run --rm --runtime=nvidia --gpus all \
|
|
-v "$HOME/.netrc:/root/.netrc:ro" \
|
|
-e MUJOCO_GL=egl \
|
|
ghcr.io/mujocolab/mjlab:latest \
|
|
uv run --no-dev train "$TASK" \
|
|
--env.scene.num-envs "$NUM_ENVS" \
|
|
--agent.max-iterations "$MAX_ITERATIONS" \
|
|
--gpu-ids all
|