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FROM ubuntu:20.04 | |
LABEL maintainer="Hugging Face" | |
LABEL repository="diffusers" | |
ENV DEBIAN_FRONTEND=noninteractive | |
RUN apt update && \ | |
apt install -y bash \ | |
build-essential \ | |
git \ | |
git-lfs \ | |
curl \ | |
ca-certificates \ | |
libsndfile1-dev \ | |
python3.8 \ | |
python3-pip \ | |
python3.8-venv && \ | |
rm -rf /var/lib/apt/lists | |
# make sure to use venv | |
RUN python3 -m venv /opt/venv | |
ENV PATH="/opt/venv/bin:$PATH" | |
# pre-install the heavy dependencies (these can later be overridden by the deps from setup.py) | |
# follow the instructions here: https://cloud.google.com/tpu/docs/run-in-container#train_a_jax_model_in_a_docker_container | |
RUN python3 -m pip install --no-cache-dir --upgrade pip && \ | |
python3 -m pip install --upgrade --no-cache-dir \ | |
clu \ | |
"jax[cpu]>=0.2.16,!=0.3.2" \ | |
"flax>=0.4.1" \ | |
"jaxlib>=0.1.65" && \ | |
python3 -m pip install --no-cache-dir \ | |
accelerate \ | |
datasets \ | |
hf-doc-builder \ | |
huggingface-hub \ | |
Jinja2 \ | |
librosa \ | |
numpy \ | |
scipy \ | |
tensorboard \ | |
transformers | |
CMD ["/bin/bash"] |