update to drive

spawnerdockerfile/Dockerfile.ngc

@@ -15,6 +15,49 @@ ENV ROOT_PASSWD=${ROOT_PASSWD}
 WORKDIR /root
 SHELL ["/bin/bash", "-c"]
 
+# https://network.nvidia.com/products/infiniband-drivers/linux/mlnx_ofed/
+ENV MLNX_OFED_VERSION=23.10-3.2.2.0 
+RUN <<EOT
+#!/bin/bash
+# SYSTEM_NAME=$(lsb_release -cs) # 查看发行版本
+# Pre-build **latest** DeepSpeed, so it would be ready for testing (otherwise, the 1st deepspeed test will timeout)
+python3 -m pip uninstall -y deepspeed
+# This has to be run (again) inside the GPU VMs running the tests.
+# The installation works here, but some tests fail, if we do not pre-build deepspeed again in the VMs running the tests.
+# TODO: Find out why test fail. install deepspeed
+# DS_BUILD_CPU_ADAM=${DS_BUILD_CPU_ADAM} DS_BUILD_FUSED_ADAM={DS_BUILD_FUSED_ADAM} python3 -m pip install "deepspeed<=0.14.0" --global-option="build_ext" --global-option="-j8" --no-cache -v --disable-pip-version-check 2>&1
+# from https://github.com/huggingface/transformers/blob/main/docker/transformers-pytorch-deepspeed-latest-gpu/Dockerfile install deepspeed fail 
+# reference deepspeed install from https://github.com/microsoft/DeepSpeed/blob/master/docker/Dockerfile
+# install deepspeed prepare
+# install Mellanox OFED
+mkdir -p ${STAGE_DIR}
+wget -q -O - http://www.mellanox.com/downloads/ofed/MLNX_OFED-${MLNX_OFED_VERSION}/MLNX_OFED_LINUX-${MLNX_OFED_VERSION}-ubuntu22.04-x86_64.tgz | tar xzf -
+cd MLNX_OFED_LINUX-${MLNX_OFED_VERSION}-ubuntu22.04-x86_64
+./mlnxofedinstall --user-space-only --without-fw-update --all -q 
+cd ${STAGE_DIR} 
+rm -rf ${STAGE_DIR}/MLNX_OFED_LINUX-${MLNX_OFED_VERSION}-ubuntu22.04-x86_64*
+EOT
+
+ARG NV_PEER_MEM_VERSION="1.2"
+ENV NV_PEER_MEM_VERSION=${NV_PEER_MEM_VERSION}
+ENV NV_PEER_MEM_TAG=${NV_PEER_MEM_VERSION}-0
+RUN <<EOT
+#!/bin/bash
+# install nv_peer_mem
+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
+./build_module.sh
+cd ${STAGE_DIR}
+tar xzf ${STAGE_DIR}/nvidia-peer-memory_${NV_PEER_MEM_VERSION}.orig.tar.gz
+cd ${STAGE_DIR}/nvidia-peer-memory-${NV_PEER_MEM_VERSION}
+apt-get update
+apt --fix-broken install -y
+apt-get install -y dkms
+dpkg-buildpackage -us -uc
+dpkg -i ${STAGE_DIR}/nvidia-peer-memory_${NV_PEER_MEM_TAG}_all.deb
+EOT
+
 # base tools
 RUN <<EOT
 #!/bin/bash
@@ -32,37 +75,18 @@ sed -i 's/^Port [0-9]*/Port 22/' /etc/ssh/sshd_config
 mkdir /var/run/sshd
 echo "root:${ROOT_PASSWD}" | chpasswd
 mkdir -p ~/.pip
-# install miniconda
+eval "$(curl https://get.x-cmd.com)"
-wget -qO- https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh
-bash /tmp/miniconda.sh -b -p /opt/conda 
-rm /tmp/miniconda.sh 
-ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh
-echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc 
-. /opt/conda/etc/profile.d/conda.sh 
-conda init bash
-conda config --set show_channel_urls true
-# 配置 .condarc 文件
-cat <<EOF > ~/.condarc
-channels:
-  - conda-forge
-  - bioconda
-  - pytorch
-  - pytorch-nightly
-  - nvidia
-  - defaults
-show_channel_urls: true
-EOF
 # install pixi
 curl -fsSL https://pixi.sh/install.sh | bash
 EOT
 
-ENV STAGE_DIR=/tmp
 RUN <<EOT
 #!/bin/bash
 pip install -v -U git+https://github.com/facebookresearch/xformers.git@main#egg=xformers
 pip install git+https://github.com/huggingface/transformers
 EOT
 
+ENV STAGE_DIR=/tmp
 RUN <<EOT
 #!/bin/bash
 git clone https://github.com/microsoft/DeepSpeed-Kernels.git ${STAGE_DIR}/DeepSpeed-Kernels
@@ -112,8 +136,10 @@ EOT
 RUN <<EOT
 #!/bin/bash
 python -m pip install --upgrade pip
-python -m pip install peft tiktoken seaborn diffusers blobfile open_clip_torch zstandard mpi4py
+python -m pip install peft tiktoken seaborn blobfile open_clip_torch zstandard mpi4py
-# python -m pip install --no-deps git+https://github.com/huggingface/optimum.git
+# optimum 手动解决依赖
+python -m pip install black~=23.1 ruff==0.1.5 diffusers>=0.17.0
+python -m pip install --no-deps git+https://github.com/huggingface/optimum.git#egg=optimum[diffusers,quality]
 EOT
 
 RUN <<EOT
@@ -129,6 +155,7 @@ TORCH_CUDA_ARCH_LIST=${TORCH_CUDA_ARCH_LIST}
 CUDA_HOME=${CUDA_HOME}
 LD_LIBRARY_PATH=${LD_LIBRARY_PATH}
 EOF
+unset https_proxy http_proxy
 EOT
 
 CMD ["/usr/sbin/sshd", "-D"]

spawnerdockerfile/README.md

@@ -28,6 +28,9 @@ NCCL_IB_DISABLE=0
 
 ## test command
 
+docker run -it --rm --network=host --privileged --ipc=host --ulimit memlock=-1 --gpus all hotwa/notebook:ngc
+docker run --rm -it --gpus all --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 hotwa/notebook:ngc /bin/bash
+
 ```shell
 nvidia-smi
 nvcc -V
@@ -40,7 +43,7 @@ python -c "from flash_attn import flash_attn_func, flash_attn_varlen_func"
 python -c "import apex.amp; print('Apex is installed and the amp module is available.')"
 python -c "from xformers import ops as xops"
 ibstat
-ofed_info  -s
+ofed_info  -s # 如果输出显示了 OFED 版本号，则说明 OFED 驱动已安装。
 mst version
 mpirun --version
 ```