|
|
ARG CUDA_VERSION="11.8.0" |
|
|
ARG CUDNN_VERSION="8" |
|
|
ARG UBUNTU_VERSION="22.04" |
|
|
ARG MAX_JOBS=4 |
|
|
|
|
|
FROM nvidia/cuda:$CUDA_VERSION-cudnn$CUDNN_VERSION-devel-ubuntu$UBUNTU_VERSION as base-builder |
|
|
|
|
|
ENV PATH="/root/miniconda3/bin:${PATH}" |
|
|
|
|
|
ARG PYTHON_VERSION="3.10" |
|
|
ARG PYTORCH_VERSION="2.1.2" |
|
|
ARG CUDA="118" |
|
|
ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6 9.0+PTX" |
|
|
|
|
|
ENV PYTHON_VERSION=$PYTHON_VERSION |
|
|
ENV TORCH_CUDA_ARCH_LIST=$TORCH_CUDA_ARCH_LIST |
|
|
|
|
|
RUN apt-get update \ |
|
|
&& apt-get install -y wget git build-essential ninja-build git-lfs libaio-dev && rm -rf /var/lib/apt/lists/* \ |
|
|
&& wget \ |
|
|
https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \ |
|
|
&& mkdir /root/.conda \ |
|
|
&& bash Miniconda3-latest-Linux-x86_64.sh -b \ |
|
|
&& rm -f Miniconda3-latest-Linux-x86_64.sh \ |
|
|
&& conda create -n "py${PYTHON_VERSION}" python="${PYTHON_VERSION}" |
|
|
|
|
|
ENV PATH="/root/miniconda3/envs/py${PYTHON_VERSION}/bin:${PATH}" |
|
|
|
|
|
WORKDIR /workspace |
|
|
|
|
|
RUN python3 -m pip install --upgrade pip && pip3 install packaging && \ |
|
|
python3 -m pip install --no-cache-dir -U torch==${PYTORCH_VERSION}+cu${CUDA} --extra-index-url https://download.pytorch.org/whl/cu$CUDA |
|
|
|
|
|
RUN git lfs install --skip-repo && \ |
|
|
pip3 install awscli && \ |
|
|
|
|
|
pip3 install -U --no-cache-dir pydantic==1.10.10 |
|
|
|
