120 lines
4.7 KiB
Bash
Executable File
120 lines
4.7 KiB
Bash
Executable File
#!/bin/bash
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# Install the dependency in CI.
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set -euxo pipefail
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bash scripts/ci/cuda/ci_install_dependency.sh
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export GDRCOPY_HOME=/usr/src/gdrdrv-2.5.1/
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export CUDA_HOME=/usr/local/cuda
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GRACE_BLACKWELL=${GRACE_BLACKWELL:-0}
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# Detect architecture
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ARCH=$(uname -m)
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if [ "$ARCH" != "x86_64" ] && [ "$ARCH" != "aarch64" ]; then
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echo "Unsupported architecture: $ARCH"
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exit 1
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fi
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if python3 -c "import deep_ep" >/dev/null 2>&1; then
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echo "deep_ep is already installed or importable. Skipping installation."
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exit 0
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fi
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# Install system dependencies
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# Use fallback logic in case apt fails due to unrelated broken packages on the runner
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DEEPEP_SYSTEM_DEPS="curl wget git sudo rdma-core infiniband-diags openssh-server perftest libibumad3 libibverbs-dev libibverbs1 ibverbs-providers ibverbs-utils libnl-3-200 libnl-route-3-200 librdmacm1 build-essential cmake"
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apt-get install -y --no-install-recommends $DEEPEP_SYSTEM_DEPS || {
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echo "Warning: apt-get install failed, checking if required packages are available..."
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for pkg in $DEEPEP_SYSTEM_DEPS; do
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if ! dpkg -l "$pkg" 2>/dev/null | grep -q "^ii"; then
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echo "ERROR: Required package $pkg is not installed and apt-get failed"
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exit 1
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fi
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done
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echo "All required packages are already installed, continuing..."
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}
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# Install GDRCopy
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rm -rf /opt/gdrcopy && mkdir -p /opt/gdrcopy
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cd /opt/gdrcopy
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git clone https://github.com/NVIDIA/gdrcopy.git .
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git checkout v2.5.1
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apt-get update || true # May fail due to unrelated broken packages
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GDRCOPY_DEPS_1="nvidia-dkms-580"
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GDRCOPY_DEPS_2="build-essential devscripts debhelper fakeroot pkg-config dkms"
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GDRCOPY_DEPS_3="check libsubunit0 libsubunit-dev python3-venv"
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for deps_group in "$GDRCOPY_DEPS_1" "$GDRCOPY_DEPS_2" "$GDRCOPY_DEPS_3"; do
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apt-get install -y --no-install-recommends $deps_group || {
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echo "Warning: apt-get install failed for '$deps_group', checking if packages are available..."
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for pkg in $deps_group; do
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if ! dpkg -l "$pkg" 2>/dev/null | grep -q "^ii"; then
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echo "ERROR: Required package $pkg is not installed and apt-get failed"
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exit 1
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fi
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done
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echo "All required packages from '$deps_group' are already installed, continuing..."
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}
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done
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cd packages
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CUDA=/usr/local/cuda ./build-deb-packages.sh
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dpkg -i gdrdrv-dkms_*.deb
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dpkg -i libgdrapi_*.deb
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dpkg -i gdrcopy-tests_*.deb
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dpkg -i gdrcopy_*.deb
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# Set up library paths based on architecture
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LIB_PATH="/usr/lib/$ARCH-linux-gnu"
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if [ ! -e "$LIB_PATH/libmlx5.so" ]; then
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ln -s $LIB_PATH/libmlx5.so.1 $LIB_PATH/libmlx5.so
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fi
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apt-get update || true
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apt-get install -y --no-install-recommends libfabric-dev || {
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if ! dpkg -l libfabric-dev 2>/dev/null | grep -q "^ii"; then
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echo "ERROR: Required package libfabric-dev is not installed and apt-get failed"
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exit 1
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fi
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echo "libfabric-dev is already installed, continuing..."
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}
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# Install DeepEP
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DEEPEP_DIR=/root/.cache/deepep
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rm -rf ${DEEPEP_DIR}
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if [ "$GRACE_BLACKWELL" = "1" ]; then
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# We use Tom's DeepEP fork for GB200 for now, which supports fp4 dispatch.
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GRACE_BLACKWELL_DEEPEP_BRANCH=gb200_blog_part_2
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git clone https://github.com/fzyzcjy/DeepEP.git ${DEEPEP_DIR} && \
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pushd ${DEEPEP_DIR} && \
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git checkout ${GRACE_BLACKWELL_DEEPEP_BRANCH} && \
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sed -i 's/#define NUM_CPU_TIMEOUT_SECS 100/#define NUM_CPU_TIMEOUT_SECS 1000/' csrc/kernels/configs.cuh && \
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popd
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else
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git clone https://github.com/deepseek-ai/DeepEP.git ${DEEPEP_DIR} && \
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pushd ${DEEPEP_DIR} && \
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git checkout 9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee && \
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popd
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fi
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cd ${DEEPEP_DIR}
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if [ "$GRACE_BLACKWELL" = "1" ]; then
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CUDA_VERSION=$(nvidia-smi | grep "CUDA Version" | head -n1 | awk '{print $9}')
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if [ "$CUDA_VERSION" = "12.8" ]; then
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CHOSEN_TORCH_CUDA_ARCH_LIST='10.0'
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elif awk -v ver="$CUDA_VERSION" 'BEGIN {exit !(ver > 12.8)}'; then
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# With cuda > 12.8, the compiler supports 10.3, so we should use
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# CHOSEN_TORCH_CUDA_ARCH_LIST='10.0;10.3'
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#
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# However, our CI machine has a weird setup and nvidia-smi reports wrong CUDA version in the container.
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# The container is actually cuda 12.8, but nvidia-smi reports 13.0, leading to compilation errors. so we
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# drop 10.3.
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CHOSEN_TORCH_CUDA_ARCH_LIST='10.0'
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else
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echo "Unsupported CUDA version for Grace Blackwell: $CUDA_VERSION" && exit 1
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fi && \
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if [ "${CUDA_VERSION%%.*}" = "13" ]; then \
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sed -i "/^ include_dirs = \['csrc\/'\]/a\ include_dirs.append('${CUDA_HOME}/include/cccl')" setup.py; \
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fi
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TORCH_CUDA_ARCH_LIST="${CHOSEN_TORCH_CUDA_ARCH_LIST}" pip install --no-build-isolation .
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else
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python3 setup.py install
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fi
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