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  /external/snakeyaml/
docker-run-jdk6.sh 2 ./docker-run.sh 6
docker-run-jdk7.sh 2 ./docker-run.sh 7
docker-run-jdk8.sh 2 ./docker-run.sh 8
docker-run.sh 4 echo "Usage: docker-run.sh <JDK number> (number can be 6, 7, 8)"
8 docker run --rm -it \
  /external/tensorflow/tensorflow/contrib/kafka/python/kernel_tests/
kafka_test.sh 27 docker run -d --rm --net=host --name=$container spotify/kafka
31 docker exec $container bash -c '/opt/kafka_2.11-0.10.1.0/bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test'
33 docker exec $container bash -c 'echo -e "D0\nD1\nD2\nD3\nD4\nD5\nD6\nD7\nD8\nD9" > /test'
35 docker exec $container bash -c '/opt/kafka_2.11-0.10.1.0/bin/kafka-console-producer.sh --topic test --broker-list 127.0.0.1:9092 < /test'
39 docker rm -f $container
  /external/protobuf/jenkins/
build_and_run_docker.sh 3 # Builds docker image and runs a command under it.
7 # DOCKER_RUN_SCRIPT - Script to run under docker (relative to protobuf repo root)
8 # OUTPUT_DIR - Directory that will be copied from inside docker after finishing.
9 # $@ - Extra args to pass to docker run
21 # Make sure docker image has been built. Should be instantaneous if so.
22 docker build -t $DOCKER_IMAGE_NAME $DOCKERFILE_DIR
28 # Choose random name for docker container
31 # Run command inside docker
32 docker run \
36 -e THIS_IS_REALLY_NEEDED='see https://github.com/docker/docker/issues/14203 for why docker is awful'
    [all...]
  /external/protobuf/jenkins/buildcmds/
pull_request.sh 8 # This script selects a specific Dockerfile (for building a Docker image) and
12 export DOCKERFILE_DIR=jenkins/docker
  /external/tensorflow/tensorflow/tools/ci_build/remote/
remote_docker_build.sh 16 # Build TensorFlow Docker images for remote build
19 # remote_docker_build.sh -c # docker image for cpu build
20 # remote_docker_build.sh -g # docker image for gpu build
98 # https://github.com/llvm-mirror/llvm/blob/master/docs/Docker.rst
102 --docker-repository ${base_image}-clang --docker-tag "latest" \
122 docker build -f $dockerfile -t $tf_image .
128 docker tag $tf_image $gcr_tf_image
129 gcloud docker -- push $gcr_tf_image
136 docker rmi -f ${base_image}-clang ${base_image}-clang-buil
    [all...]
  /external/tensorflow/tensorflow/tools/ci_build/linux/
libtensorflow_docker.sh 19 # Builds a docker container and then builds in said container.
30 DOCKER_BINARY="docker"
33 DOCKER_BINARY="nvidia-docker"
37 docker build \
  /external/tensorflow/tensorflow/tools/gcs_test/
gcs_smoke.sh 59 # Create temporary directory for docker build
77 # Build the docker image for testing
78 docker build --no-cache \
80 die "FAIL: Failed to build docker image for testing"
82 # Clean up docker build context directory.
85 # Run the docker image with the GCS key file mapped and the gcloud-required
87 docker run --rm \
  /external/tensorflow/tensorflow/tools/ci_build/builds/
docker_test.sh 17 # Build and test TensorFlow docker images.
23 # TAG : Docker image tag
24 # WHL_PATH : Path to the whl file to be installed inside the docker image
60 DOCKERFILE="tensorflow/tools/docker/Dockerfile"
62 DOCKERFILE="tensorflow/tools/docker/Dockerfile.gpu"
67 # Verify docker binary existence
68 if [[ -z $(which docker) ]]; then
69 die "FAILED: docker binary unavailable"
82 # Build docker image
95 docker build -t "${DOCKER_IMG_TAG}" -f "${DOCKERFILE_PATH}"
    [all...]
  /external/tensorflow/tensorflow/tools/dist_test/
local_test.sh 20 # 1) Build the docker-in-docker (dind) image capable of running docker and
22 # 2) Run a container from the aforementioned image and start docker service
42 # --leave_container_running: Do not stop the docker-in-docker container after
58 # TF_DIST_DOCKER_NO_CACHE: do not use cache when building docker images
74 docker ps | grep $1 | awk '{print $1}'
124 # Build docker-in-docker image for local k8s cluster
    [all...]
build_server.sh 22 # docker_image_name: Name of the docker image to build.
33 # Note that the Dockerfile is located in ./server/ but the docker build should
67 echo "Using Docker file: ${DOCKER_FILE}"
84 # Call docker build
85 docker build --no-cache -t "${DOCKER_IMG_NAME}" \
87 die "Failed to build docker image: ${DOCKER_IMG_NAME}"
89 # Clean up docker build context directory.
remote_test.sh 18 # It builds a docker image with the necessary gcloud and Kubernetes (k8s) tools
31 # Specify custom TensorFlow whl file URL to install in the test Docker image.
51 # be mapped into the docker container to override the default values (see
67 # TF_DIST_DOCKER_NO_CACHE: do not use cache when building docker images
79 # Prepare environment variables for the docker container
114 # Create docker build context directory.
127 # Build docker image for test.
128 docker build ${NO_CACHE_FLAG} \
130 die "Failed to build docker image: ${DOCKER_IMG_NAME}"
132 # Clean up docker build context directory
    [all...]
  /external/tensorflow/tensorflow/java/maven/
release.sh 50 docker run \
  /prebuilts/go/darwin-x86/src/debug/gosym/
symtab_test.go 37 s1 := Sym{Name: "github.com/docker/doc.ker/pkg/mflag.(*FlagSet).PrintDefaults"}
38 s2 := Sym{Name: "github.com/docker/doc.ker/pkg/mflag.PrintDefaults"}
39 assertString(t, fmt.Sprintf("package of %q", s1.Name), s1.PackageName(), "github.com/docker/doc.ker/pkg/mflag")
40 assertString(t, fmt.Sprintf("package of %q", s2.Name), s2.PackageName(), "github.com/docker/doc.ker/pkg/mflag")
  /prebuilts/go/linux-x86/src/debug/gosym/
symtab_test.go 37 s1 := Sym{Name: "github.com/docker/doc.ker/pkg/mflag.(*FlagSet).PrintDefaults"}
38 s2 := Sym{Name: "github.com/docker/doc.ker/pkg/mflag.PrintDefaults"}
39 assertString(t, fmt.Sprintf("package of %q", s1.Name), s1.PackageName(), "github.com/docker/doc.ker/pkg/mflag")
40 assertString(t, fmt.Sprintf("package of %q", s2.Name), s2.PackageName(), "github.com/docker/doc.ker/pkg/mflag")
  /external/tensorflow/tensorflow/tools/docker/
parameterized_docker_build.sh 16 # Parameterized build and test for TensorFlow Docker images.
30 # Specifies the branch to checkout for devel docker images
58 # during basic checks on the newly-built docker image.
64 # such as gcr.io or Docker Hub.
123 # Make sure that docker is available on path
124 if [[ -z $(which docker) ]]; then
125 die "ERROR: docker is not available on path"
141 die "ERROR: TF_DOCKER_BUILD_DEVEL_BRANCH is missing for devel docker build"
151 DOCKER_BINARY="docker"
153 DOCKER_BINARY="nvidia-docker"
    [all...]
  /external/tensorflow/tensorflow/tools/ci_build/
ci_build.sh 20 # CONTAINER_TYPE: Type of the docker container used the run the build:
23 # DOCKERFILE_PATH: (Optional) Path to the Dockerfile used for docker build.
28 # COMMAND: Command to be executed in the docker container, e.g.,
38 # Dockerfile to be used in docker build
46 echo "Using custom docker build context path: ${DOCKER_CONTEXT_PATH}"
81 # Use nvidia-docker if the container is GPU.
83 DOCKER_BINARY="nvidia-docker"
85 DOCKER_BINARY="docker"
106 # Determine the docker image name
110 # commas (,) and equal signs (=), which are not valid inside docker image names
    [all...]
  /external/tensorflow/tools/
tf_env_collect.sh 46 echo '== are we in docker ============================================='
47 num=`cat /proc/1/cgroup | grep docker | wc -l`;
  /external/tensorflow/tensorflow/tools/dist_test/scripts/
create_tf_cluster.sh 24 # TF_DIST_SERVER_DOCKER_IMAGE: overrides the default docker image to launch
146 echo " Server docker image: ${SERVER_DOCKER_IMAGE}"
266 "One possible cause is that the Docker image used to launch the cluster is "\
275 # Determine the tf-worker0 docker container id
276 WORKER0_ID=$(docker ps | grep "k8s_tf-worker0" | awk '{print $1}')
277 echo "WORKER0 Docker container ID: ${WORKER0_ID}"

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