blob: e68d6af4bbc6b2fc1715c9925096d6029bb34102 [file] [log] [blame]
#!/usr/bin/env bash
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
# Docker bash script used to execute a command within a container.
#
if [ "$#" -lt 1 ]; then
echo "Usage: tests/script/docker_bash.sh <CONTAINER_NAME> [COMMAND]"
exit -1
fi
DOCKER_IMAGE_NAME=("$1")
if [ "$#" -eq 1 ]; then
COMMAND="bash"
if [[ $(uname) == "Darwin" ]]; then
# Docker's host networking driver isn't supported on macOS.
# Use default bridge network and expose port for jupyter notebook.
CI_DOCKER_EXTRA_PARAMS=("-it -p 8888:8888")
else
CI_DOCKER_EXTRA_PARAMS=("-it --net=host")
fi
else
shift 1
COMMAND=("$@")
fi
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
WORKSPACE="$(pwd)"
# Use nvidia-docker if the container is GPU.
if [[ ! -z $CUDA_VISIBLE_DEVICES ]]; then
CUDA_ENV="-e CUDA_VISIBLE_DEVICES=${CUDA_VISIBLE_DEVICES}"
else
CUDA_ENV=""
fi
if [[ "${DOCKER_IMAGE_NAME}" == *"gpu"* ]]; then
if ! type "nvidia-docker" 1> /dev/null 2> /dev/null
then
DOCKER_BINARY="docker"
CUDA_ENV=" --gpus all "${CUDA_ENV}
else
DOCKER_BINARY="nvidia-docker"
fi
else
DOCKER_BINARY="docker"
fi
# Print arguments.
echo "WORKSPACE: ${WORKSPACE}"
echo "DOCKER CONTAINER NAME: ${DOCKER_IMAGE_NAME}"
echo ""
echo "Running '${COMMAND[@]}' inside ${DOCKER_IMAGE_NAME}..."
# By default we cleanup - remove the container once it finish running (--rm)
# and share the PID namespace (--pid=host) so the process inside does not have
# pid 1 and SIGKILL is propagated to the process inside (jenkins can kill it).
${DOCKER_BINARY} run --rm --pid=host\
-v ${WORKSPACE}:/workspace \
-v ${SCRIPT_DIR}:/docker \
-w /workspace \
-e "CI_BUILD_HOME=/workspace" \
-e "CI_BUILD_USER=$(id -u -n)" \
-e "CI_BUILD_UID=$(id -u)" \
-e "CI_BUILD_GROUP=$(id -g -n)" \
-e "CI_BUILD_GID=$(id -g)" \
-e "PYTHONPATH=python:topi/python"\
${CUDA_ENV}\
${CI_DOCKER_EXTRA_PARAMS[@]} \
${DOCKER_IMAGE_NAME}\
bash --login tests/scripts/with_the_same_user \
${COMMAND[@]}