32 lines
1.4 KiB
Bash
Executable File
32 lines
1.4 KiB
Bash
Executable File
#!/bin/bash -e
|
|
# Copyright 2018 The Kubeflow Authors
|
|
#
|
|
# Licensed 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.
|
|
|
|
image_name=gcr.io/ml-pipeline/sample/keras/train_classifier
|
|
image_tag=latest
|
|
full_image_name=${image_name}:${image_tag}
|
|
base_image_tag=1.12.0-py3
|
|
|
|
cd "$(dirname "$0")"
|
|
|
|
docker build --build-arg BASE_IMAGE_TAG=$base_image_tag -t "$full_image_name" .
|
|
docker push "$full_image_name"
|
|
|
|
#Output the strict image name (which contains the sha256 image digest)
|
|
#This name can be used by the subsequent steps to refer to the exact image that was built even if another image with the same name was pushed.
|
|
image_name_with_digest=$(docker inspect --format="{{index .RepoDigests 0}}" "$IMAGE_NAME")
|
|
strict_image_name_output_file=./versions/image_digests_for_tags/$image_tag
|
|
mkdir -p "$(dirname "$strict_image_name_output_file")"
|
|
echo $image_name_with_digest | tee "$strict_image_name_output_file"
|