Add application file
Browse files- Dockerfile +63 -0
Dockerfile
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# 1. Test setup:
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# docker run -it --rm --gpus all nvidia/cuda:11.4.2-cudnn8-runtime-ubuntu20.04 nvidia-smi
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#
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# If the above does not work, try adding the --privileged flag
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# and changing the command to `sh -c 'ldconfig -v && nvidia-smi'`.
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#
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# 2. Start training:
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# docker build -f dreamerv3/Dockerfile -t img . && \
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# docker run -it --rm --gpus all -v ~/logdir:/logdir img \
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# sh scripts/xvfb_run.sh python3 dreamerv3/train.py \
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# --logdir "/logdir/$(date +%Y%m%d-%H%M%S)" \
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# --configs dmc_vision --task dmc_walker_walk
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#
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# 3. See results:
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# tensorboard --logdir ~/logdir
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# System
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FROM nvidia/cuda:11.4.2-cudnn8-devel-ubuntu20.04
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ARG DEBIAN_FRONTEND=noninteractive
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ENV TZ=America/San_Francisco
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ENV PYTHONUNBUFFERED 1
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ENV PIP_DISABLE_PIP_VERSION_CHECK 1
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ENV PIP_NO_CACHE_DIR 1
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RUN apt-get update && apt-get install -y \
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ffmpeg git python3-pip vim libglew-dev \
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x11-xserver-utils xvfb \
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&& apt-get clean
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RUN pip3 install --upgrade pip
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# Envs
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ENV MUJOCO_GL egl
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ENV DMLAB_DATASET_PATH /dmlab_data
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COPY scripts scripts
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RUN sh scripts/install-dmlab.sh
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RUN sh scripts/install-atari.sh
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RUN sh scripts/install-minecraft.sh
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ENV NUMBA_CACHE_DIR=/tmp
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RUN pip3 install crafter
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RUN pip3 install dm_control
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RUN pip3 install robodesk
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RUN pip3 install bsuite
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# Agent
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RUN pip3 install jax[cuda11_cudnn82] -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
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RUN pip3 install jaxlib
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RUN pip3 install tensorflow_probability
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RUN pip3 install optax
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RUN pip3 install tensorflow-cpu
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ENV XLA_PYTHON_CLIENT_MEM_FRACTION 0.8
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# Google Cloud DNS cache (optional)
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ENV GCS_RESOLVE_REFRESH_SECS=60
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ENV GCS_REQUEST_CONNECTION_TIMEOUT_SECS=300
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ENV GCS_METADATA_REQUEST_TIMEOUT_SECS=300
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ENV GCS_READ_REQUEST_TIMEOUT_SECS=300
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ENV GCS_WRITE_REQUEST_TIMEOUT_SECS=600
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# Embodied
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RUN pip3 install numpy cloudpickle ruamel.yaml rich zmq msgpack
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COPY . /embodied
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RUN chown -R 1000:root /embodied && chmod -R 775 /embodied
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WORKDIR embodied
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