7c2966a98c
* [CI/Build] Add CI end-to-end (E2E) tests Signed-off-by: Chenchao Hu <huchenchao@example.com>
102 lines
2.8 KiB
Bash
Executable File
102 lines
2.8 KiB
Bash
Executable File
#!/usr/bin/env bash
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set -euo pipefail
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source ci/scripts/common/env.sh
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source ci/scripts/common/log.sh
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log "Starting docker container: ${DOCKER_NAME}"
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if docker ps -a --format '{{.Names}}' | grep -q "^${DOCKER_NAME}$"; then
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log "Container exists, removing first..."
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docker stop "${DOCKER_NAME}" >/dev/null 2>&1 || true
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docker rm "${DOCKER_NAME}" >/dev/null 2>&1 || true
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fi
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HOST_CUDA_LIB_PATH=""
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for path in "/usr/local/cuda/lib64" /usr/local/cuda-*/lib64; do
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if [ -d "$path" ]; then
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HOST_CUDA_LIB_PATH="$path"
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break
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fi
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done
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if [ -n "${HOST_CUDA_LIB_PATH}" ]; then
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log "Detected host CUDA lib path: ${HOST_CUDA_LIB_PATH}"
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else
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log "Host CUDA lib path not found, will use container CUDA"
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fi
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# NVIDIA device mapping
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DEVICE_ARGS=""
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if [ -e "/dev/nvidia0" ]; then
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DEVICE_ARGS="--device /dev/nvidia0:/dev/nvidia0"
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for i in $(seq 1 16); do
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if [ -e "/dev/nvidia${i}" ]; then
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DEVICE_ARGS="${DEVICE_ARGS} --device /dev/nvidia${i}:/dev/nvidia${i}"
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fi
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done
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if [ -e "/dev/nvidia-uvm" ]; then
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DEVICE_ARGS="${DEVICE_ARGS} --device /dev/nvidia-uvm:/dev/nvidia-uvm"
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fi
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if [ -e "/dev/nvidia-modeset" ]; then
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DEVICE_ARGS="${DEVICE_ARGS} --device /dev/nvidia-modeset:/dev/nvidia-modeset"
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fi
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else
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log "WARNING: /dev/nvidia0 not found, GPU may not be available"
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fi
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# Mount nvidia-smi
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NVIDIA_BIN=""
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if [ -f "/usr/bin/nvidia-smi" ]; then
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NVIDIA_BIN="-v /usr/bin/nvidia-smi:/usr/bin/nvidia-smi"
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log "Added nvidia-smi mount"
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else
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log "WARNING: nvidia-smi not found on host"
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fi
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# Mount critical NVIDIA libs
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NVIDIA_LIBS=""
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if [ -d "/usr/lib64" ]; then
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for lib in libnvidia-ml.so libnvidia-ml.so.1; do
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if [ -f "/usr/lib64/${lib}" ]; then
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NVIDIA_LIBS="${NVIDIA_LIBS} -v /usr/lib64/${lib}:/usr/lib64/${lib}"
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fi
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done
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fi
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# Ensure libcuda symlink
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ln -sf /usr/lib64/libcuda.so.1 /usr/lib64/libcuda.so || true
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log "docker run ${IMAGE_NAME}"
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docker run \
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-h "$(hostname)" \
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--privileged \
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--net=host \
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--user=root \
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--name="${DOCKER_NAME}" \
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-v /home:/home \
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-v "${WORKSPACE_MOUNT}" \
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-v /ssd2:/ssd2 \
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-v /ssd1:/ssd1 \
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-v /ssd3:/ssd3 \
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-v /dev/shm:/dev/shm \
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-v /usr/lib64/libcuda.so.1:/usr/lib64/libcuda.so.1 \
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-v /usr/lib64/libcuda.so:/usr/lib64/libcuda.so \
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-v /usr/lib64/libnvidia-ml.so.1:/usr/lib64/libnvidia-ml.so.1 \
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-v /usr/lib64/libnvidia-ptxjitcompiler.so.1:/usr/lib64/libnvidia-ptxjitcompiler.so.1 2>/dev/null \
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-v /var/run/docker.sock:/var/run/docker.sock \
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-w /workspace \
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${DEVICE_ARGS} \
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${NVIDIA_BIN} \
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${NVIDIA_LIBS} \
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--shm-size=16G \
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-e NVIDIA_VISIBLE_DEVICES=all \
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-e NVIDIA_DRIVER_CAPABILITIES=compute,utility \
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-itd "${IMAGE_NAME}"
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log "Container started. Inject conda activate into bashrc"
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docker exec "${DOCKER_NAME}" bash -lc "
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echo 'conda activate ${CONDA_ENV}' >> ~/.bashrc
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conda env list || true
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"
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