ARG CUDA_VERSION="11.8.0" ARG CUDNN_VERSION="8" ARG UBUNTU_VERSION="22.04" FROM nvidia/cuda:$CUDA_VERSION-cudnn$CUDNN_VERSION-devel-ubuntu$UBUNTU_VERSION as base-builder ENV PATH="/root/miniconda3/bin:${PATH}" ARG PYTHON_VERSION="3.9" ARG PYTORCH="2.0.0" ARG CUDA="cu118" ENV PYTHON_VERSION=$PYTHON_VERSION RUN apt-get update RUN apt-get install -y wget git build-essential ninja-build git-lfs libaio-dev && rm -rf /var/lib/apt/lists/* RUN wget \ https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \ && mkdir /root/.conda \ && bash Miniconda3-latest-Linux-x86_64.sh -b \ && rm -f Miniconda3-latest-Linux-x86_64.sh RUN conda create -n "py${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} torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/$CUDA FROM base-builder AS flash-attn-builder WORKDIR /workspace ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6+PTX" RUN git clone https://github.com/HazyResearch/flash-attention.git && \ cd flash-attention && \ python3 setup.py bdist_wheel FROM base-builder AS deepspeed-builder WORKDIR /workspace RUN git clone https://github.com/microsoft/DeepSpeed.git && \ cd DeepSpeed && \ MAX_CONCURRENCY=8 DS_BUILD_SPARSE_ATTN=0 DS_BUILD_OPS=1 python3 setup.py bdist_wheel FROM base-builder # recompile apex RUN python3 -m pip uninstall -y apex RUN git clone https://github.com/NVIDIA/apex # `MAX_JOBS=1` disables parallel building to avoid cpu memory OOM when building image on GitHub Action (standard) runners RUN cd apex && MAX_JOBS=1 python3 -m pip install --global-option="--cpp_ext" --global-option="--cuda_ext" --no-cache -v --disable-pip-version-check . RUN mkdir /workspace/wheels COPY --from=deepspeed-builder /workspace/DeepSpeed/dist/deepspeed-*.whl wheels COPY --from=flash-attn-builder /workspace/flash-attention/dist/flash_attn-*.whl wheels RUN pip3 install wheels/deepspeed-*.whl wheels/flash_attn-*.whl RUN git lfs install --skip-repo RUN pip3 install "peft @ git+https://github.com/huggingface/peft.git@main" \ "accelerate @ git+https://github.com/huggingface/accelerate.git@main" \ "transformers @ git+https://github.com/huggingface/transformers.git@main" && \ pip3 install awscli && \ # The base image ships with `pydantic==1.8.2` which is not working pip3 install -U --no-cache-dir pydantic