71 lines
2.7 KiB
Docker
71 lines
2.7 KiB
Docker
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This Dockerfile is designed for a lerobot user who wants to
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# experiment with the project. It starts from an Python Slim base image.
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# docker build -f docker/Dockerfile.user -t lerobot-user .
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# docker run -it --rm lerobot-user
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# Configure the base image
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ARG PYTHON_VERSION=3.10
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FROM python:${PYTHON_VERSION}-slim
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# Configure environment variables
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ENV DEBIAN_FRONTEND=noninteractive \
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PATH=/lerobot/.venv/bin:$PATH
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# Install system dependencies and uv (as root)
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential git curl ffmpeg \
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&& curl -LsSf https://astral.sh/uv/install.sh | sh \
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&& mv /root/.local/bin/uv /usr/local/bin/uv \
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&& useradd --create-home --shell /bin/bash user_lerobot \
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&& usermod -aG sudo user_lerobot \
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&& apt-get clean && rm -rf /var/lib/apt/lists/*
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# Create application directory and set permissions
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RUN git clone https://github.com/huggingface/lerobot.git -b v0.3.3 /lerobot
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WORKDIR /lerobot
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RUN chown -R user_lerobot:user_lerobot /lerobot
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ADD ./huggingface_models /home/user_lerobot/.cache/huggingface
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RUN chown -R user_lerobot:user_lerobot /home/user_lerobot/.cache
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# Switch to the non-root user
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USER user_lerobot
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# Environment variables for the testing
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ENV HOME=/home/user_lerobot \
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HF_HOME=/home/user_lerobot/.cache/huggingface \
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HF_LEROBOT_HOME=/home/user_lerobot/.cache/huggingface/lerobot \
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TORCH_HOME=/home/user_lerobot/.cache/torch \
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TRITON_CACHE_DIR=/home/user_lerobot/.cache/triton
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# Create the virtual environment
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# We use a virtual environment inside the container—even though the container itself \
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# provides isolation—to closely resemble local development and allow users to \
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# run other Python projects in the same container without dependency conflicts.
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RUN uv venv
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# Install Python dependencies for caching
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COPY --chown=user_lerobot:user_lerobot pyproject.toml README.md MANIFEST.in ./
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# COPY --chown=user_lerobot:user_lerobot src/ src/
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RUN uv pip install --no-cache ".[smolvla]"
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# Set the default command - Training mode
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ADD docker/train.py /workspace/train.py
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CMD ["python", "/workspace/train.py"]
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