ARG CUDA_VERSION="12.4.1" ARG CUDNN_VERSION="" 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="3.11" ARG PYTORCH_VERSION="2.5.1" ARG CUDA="124" 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 pkg-config curl && 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 -U packaging==23.2 setuptools==75.8.0 wheel && \ python3 -m pip install --no-cache-dir -U torch==${PYTORCH_VERSION}+cu${CUDA} torchvision --extra-index-url https://download.pytorch.org/whl/cu$CUDA && \ python3 -m pip install --no-cache-dir "causal_conv1d @ git+https://github.com/Dao-AILab/causal-conv1d.git@main" && \ python3 -m pip install --no-cache-dir "mamba_ssm @ git+https://github.com/state-spaces/mamba.git@main" RUN git lfs install --skip-repo && \ pip3 install awscli && \ # The base image ships with `pydantic==1.8.2` which is not working pip3 install -U --no-cache-dir pydantic==1.10.10 RUN if [ "$TORCH_CUDA_ARCH_LIST" = "9.0+PTX" ] ; then \ curl -L -O https://d1dttdx32dkk5p.cloudfront.net/fa3/cu${CUDA}/torch-${PYTORCH_VERSION}/flash_attn_3-3.0.0b1-cp311-cp311-linux_x86_64.whl; \ pip3 install --no-cache-dir flash_attn_3-3.0.0b1-cp311-cp311-linux_x86_64.whl; \ rm flash_attn_3-3.0.0b1-cp311-cp311-linux_x86_64.whl; \ elif [ "$PYTORCH_VERSION" = "2.7.0" ] ; then \ pip3 install flash-attn==2.7.4.post1; \ fi