diff --git a/finetune/Dockerfile.ldh b/finetune/Dockerfile.ldh index 0ade984..8c6ba64 100644 --- a/finetune/Dockerfile.ldh +++ b/finetune/Dockerfile.ldh @@ -7,7 +7,6 @@ ENV STAGE_DIR="/tmp" RUN mkdir -p ${STAGE_DIR} ENV CUTLASS_PATH="/opt/cutlass" -ARG CONDA_ENV_NAME="deepspeed" ENV CUDA_HOME="/usr/local/cuda" ENV PATH=${CUDA_HOME}/bin:${PATH} @@ -43,14 +42,6 @@ RUN \ apt-get install -y rdma-core ibverbs-utils perftest libibverbs-dev infiniband-diags && \ apt-get install -y quilt python3-distutils - -# install latest cmake -RUN wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc | sudo apt-key add - && \ - sudo apt-add-repository "deb https://apt.kitware.com/ubuntu/ $(lsb_release -cs) main" && \ - apt-get update && \ - apt-get install -y cmake - - # Install Miniconda RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && \ /bin/bash ~/miniconda.sh -b -p /opt/conda -u && \ @@ -60,17 +51,22 @@ ENV PATH=/opt/conda/bin:${PATH} RUN \ /opt/conda/bin/conda init bash +ARG CONDA_ENV_NAME="deepspeed" +ENV CONDA_ENV_NAME=${CONDA_ENV_NAME} +ARG PYTHON_VERSION="3.10" +ENV PYTHON_VERSION=${PYTHON_VERSION} +ENV PATH=/opt/conda/envs/${CONDA_ENV_NAME}/bin:${PATH} # Create and activate a conda environment -RUN /opt/conda/bin/conda create -n ${CONDA_ENV_NAME} python=3.10 -y && \ +RUN /opt/conda/bin/conda create -n ${CONDA_ENV_NAME} python=${PYTHON_VERSION} cmake ninja -y && \ echo "source /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \ echo "conda activate ${CONDA_ENV_NAME}" >> ~/.bashrc && \ /bin/bash -c "source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME}" -ENV PATH=/opt/conda/envs/${CONDA_ENV_NAME}/bin:${PATH} # install cutlass https://github.com/NVIDIA/cutlass -ARG DCUTLASS_NVCC_ARCHS="80;89;90a" +ARG DCUTLASS_NVCC_ARCHS="80;89;90;90a" ENV DCUTLASS_NVCC_ARCHS=${DCUTLASS_NVCC_ARCHS} -RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \ +RUN \ + source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \ git clone https://github.com/NVIDIA/cutlass /opt/cutlass && \ cd /opt/cutlass && \ git checkout . && \ @@ -83,7 +79,8 @@ RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} # Mellanox OFED # ENV MLNX_OFED_VERSION=4.9-7.1.0.0 -RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \ +RUN \ + source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \ apt-get install -y libnuma-dev libnvidia-compute-515 && \ cd ${STAGE_DIR} && \ wget -q -O - https://content.mellanox.com/ofed/MLNX_OFED-5.8-4.1.5.0/MLNX_OFED_LINUX-5.8-4.1.5.0-ubuntu22.04-x86_64.tgz | tar xzf - && \ @@ -97,7 +94,8 @@ RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} ENV NV_PEER_MEM_VERSION=1.2 # ENV NV_PEER_MEM_VERSION=1.3 ENV NV_PEER_MEM_TAG=${NV_PEER_MEM_VERSION}-0 -RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \ +RUN \ + source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \ mkdir -p ${STAGE_DIR} && \ git clone https://github.com/Mellanox/nv_peer_memory.git --branch ${NV_PEER_MEM_TAG} ${STAGE_DIR}/nv_peer_memory && \ cd ${STAGE_DIR}/nv_peer_memory && \ @@ -116,7 +114,8 @@ RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} # ENV OPENMPI_VERSION=${OPENMPI_BASEVERSION}.6 ENV OPENMPI_BASEVERSION=5.0 ENV OPENMPI_VERSION=${OPENMPI_BASEVERSION}.3 -RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \ +RUN \ + source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \ cd ${STAGE_DIR} && \ wget -q -O - https://download.open-mpi.org/release/open-mpi/v${OPENMPI_BASEVERSION}/openmpi-${OPENMPI_VERSION}.tar.gz | tar xzf - && \ cd openmpi-${OPENMPI_VERSION} && \ @@ -130,7 +129,8 @@ RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} ENV PATH=/usr/local/mpi/bin:${PATH} \ LD_LIBRARY_PATH=/usr/local/lib:/usr/local/mpi/lib:/usr/local/mpi/lib64:${LD_LIBRARY_PATH} # Create a wrapper for OpenMPI to allow running as root by default -RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \ +RUN \ + source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \ mv /usr/local/mpi/bin/mpirun /usr/local/mpi/bin/mpirun.real && \ echo '#!/bin/bash' > /usr/local/mpi/bin/mpirun && \ echo 'mpirun.real --allow-run-as-root --prefix /usr/local/mpi "$@"' >> /usr/local/mpi/bin/mpirun && \ @@ -141,18 +141,20 @@ ENV TORCHVISION_VERSION=0.18.0 ENV TORCHAUDIO_VERSION=2.3.0 ENV PYTORCH_CUDA_VERSION='cu121' -RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \ +RUN \ + source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \ pip install torch==${PYTORCH_VERSION}+${PYTORCH_CUDA_VERSION} torchvision==${TORCHVISION_VERSION}+${PYTORCH_CUDA_VERSION} torchaudio==${TORCHAUDIO_VERSION}+${PYTORCH_CUDA_VERSION} xformers --extra-index-url https://download.pytorch.org/whl/${PYTORCH_CUDA_VERSION} && \ pip install packaging && \ pip install flash-attn && \ - pip install deepspeed transformers datasets accelerate evaluate peft timm diffusers huggingface_hub && \ + pip install deepspeed transformers datasets accelerate evaluate peft timm diffusers huggingface_hub optimum-benchmark && \ pip install tiktoken sentencepiece tqdm nltk matplotlib seaborn numpy pandas scikit-learn spacy Pillow blobfile requests scipy pycocotools protobuf pyyaml ipython psutil pydantic # Install apex with CUDA and C++ extensions # pip --version | grep -q "pip 23.1" && \ # (pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" ./) || \ # (pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --global-option="--cpp_ext" --global-option="--cuda_ext" ./) && \ -RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \ +RUN \ + source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \ git clone https://github.com/NVIDIA/apex /tmp/apex && \ cd /tmp/apex && \ pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" ./ && \