docker-python/test at master · kurhula/docker-python · GitHub

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#!/bin/bash

set -e

IMAGE_TAG='kaggle/python-build'

IMAGE_TAG_OVERRIDE=''

ADDITONAL_OPTS=''

PATTERN='test*.py'

usage() {

cat << EOF

Usage: $0 [OPTIONS]

Run tests for a newly-built Python Docker image.

By default, it runs the tests for the CPU image.

Options:

-g, --gpu Run tests for the GPU image.

-i, --image IMAGE Run tests against the specified image

-p, --pattern PATTERN Pattern to match test files ($PATTERN default)

EOF

}

while :; do

case "$1" in

-h|--help)

usage

exit

;;

-g|--gpu)

IMAGE_TAG='kaggle/python-gpu-build'

ADDITONAL_OPTS='-v /tmp/empty_dir:/usr/local/cuda/lib64/stubs:ro'

;;

-i|--image)

if [[ -z $2 ]]; then

usage

printf 'ERROR: No IMAGE specified after the %s flag.\n' "$1" >&2

exit

IMAGE_TAG_OVERRIDE=$2

shift # skip the flag value

;;

-p|--pattern)

if [[ -z $2 ]]; then

usage

printf 'ERROR: No PATTERN specified after the %s flag.\n' "$1" >&2

exit

PATTERN="$2"

shift # skip the flag value

;;

-?*)

usage

printf 'ERROR: Unknown option: %s\n' "$1" >&2

exit

;;

break

esac

shift

done

if [[ -n "$IMAGE_TAG_OVERRIDE" ]]; then

IMAGE_TAG="$IMAGE_TAG_OVERRIDE"

readonly IMAGE_TAG

readonly ADDITONAL_OPTS

readonly PATTERN

set -x

rm -rf /tmp/python-build

docker rm jupyter_test || true

mkdir -p /tmp/python-build/tmp

mkdir -p /tmp/python-build/devshm

mkdir -p /tmp/python-build/working

# Only run Jupyter server test if no specific test pattern is specified.

if [ $PATTERN == 'test*.py' ]; then

# Check that Jupyter server can run; if it dies on startup, the `docker kill` command will throw an error

docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm "$IMAGE_TAG" jupyter notebook --allow-root --ip="*"

sleep 3

docker kill jupyter_test && docker rm jupyter_test

# Note about `TF_FORCE_GPU_ALLOW_GROWTH`. This allocate memory at runtime as needed.

# By default, TensorFlow maps nearly all of the GPU memory visible to the process.

# This is causing issue when other libraries are trying to run tests using a GPU.

# See: https://www.tensorflow.org/guide/gpu#allowing_gpu_memory_growth

# Note about `--hostname localhost` (b/158137436)

# hostname defaults to the container name which fails DNS name

# resolution with --net=none (required to keep tests hermetic). See details in bug.

docker run --rm -t --read-only --net=none \

-e HOME=/tmp -e KAGGLE_DATA_PROXY_TOKEN=test-key \

-e KAGGLE_USER_SECRETS_TOKEN_KEY=test-secrets-key \

-e KAGGLE_URL_BASE=http://127.0.0.1:8001 \

-e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 \

-e KAGGLE_DATA_PROXY_PROJECT=test \

-e TF_FORCE_GPU_ALLOW_GROWTH=true \

--hostname localhost \

--shm-size=2g \

-v $PWD:/input:ro -v /tmp/python-build/working:/working \

-v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm \

-w=/working \

$ADDITONAL_OPTS \

"$IMAGE_TAG" \

/bin/bash -c "python -m unittest discover -s /input/tests -p $PATTERN -v"

docker-python/test at master · kurhula/docker-python · GitHub

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