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Takashi Matsuo
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[vision] fix: move the Docker image (GoogleCloudPlatform#3839)
fixes GoogleCloudPlatform#3828
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# Copyright 2019 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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FROM tensorflow/serving:1.14.0
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ENV GCS_READ_CACHE_MAX_STALENESS 300
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ENV GCS_STAT_CACHE_MAX_AGE 300
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ENV GCS_MATCHING_PATHS_CACHE_MAX_AGE 300
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EXPOSE 8500
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EXPOSE 8501
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ENTRYPOINT /usr/bin/tensorflow_model_server \
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--port=8500 \
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--rest_api_port=8501 \
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--model_base_path=/tmp/mounted_model/ \
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--tensorflow_session_parallelism=0 \
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--file_system_poll_wait_seconds=31540000

vision/automl/edge_container_predict/README.md

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+ Step 1. Pull the Docker image.
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2020
```bash
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# This is a CPU TFServing 1.12.0 with some default settings compiled from
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# This is a CPU TFServing 1.14.0 with some default settings compiled from
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# https://hub.docker.com/r/tensorflow/serving.
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$ DOCKER_GCS_DIR=gcr.io/automl-vision-ondevice
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$ CPU_DOCKER_GCS_PATH=${DOCKER_GCS_DIR}/gcloud-container-1.12.0:latest
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$ DOCKER_GCS_DIR=gcr.io/cloud-devrel-public-resources
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$ CPU_DOCKER_GCS_PATH=${DOCKER_GCS_DIR}/gcloud-container-1.14.0:latest
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$ sudo docker pull ${CPU_DOCKER_GCS_PATH}
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```
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vision/automl/edge_container_predict/automl_vision_edge_container_predict_test.py

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IMAGE_FILE_PATH = os.path.join(os.path.dirname(__file__), 'test.jpg')
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# The cpu docker gcs path is from 'Edge container tutorial'.
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CPU_DOCKER_GCS_PATH = '{}'.format(
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'gcr.io/automl-vision-ondevice/gcloud-container-1.12.0:latest')
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'gcr.io/cloud-devrel-public-resources/gcloud-container-1.14.0:latest')
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# The path of a sample saved model.
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SAMPLE_SAVED_MODEL = '{}'.format(
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'gs://cloud-samples-data/vision/edge_container_predict/saved_model.pb')

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