gen_json_google.py 2.88 KB
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# Copyright (c) 2016, Daniele Venzano
#
# 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.

import json
import sys
import os

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APPS = [
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    ('tf-google', "gcr.io/tensorflow/tensorflow:1.3.0-py3", False),
    ('stnet-google', "tensorflow/syntaxnet", False),
    ('mag-google', "tensorflow/magenta", False),
    ('tf-google-gpu', "gcr.io/tensorflow/tensorflow:1.3.0-gpu-py3", True)
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]

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ZOE_APPLICATION_DESCRIPTION_VERSION = 3

options = {
    'core_limit': {
        'value': 4,
        'description': 'Core limit'
    },
    'memory_limit': {
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        'value': 32 * (1024**3),
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        'description': 'Memory limit (bytes)'
    }
}

REGISTRY = os.getenv("DOCKER_REGISTRY", default="docker-engine:5000")
REPOSITORY = os.getenv("REPOSITORY", default="zapps")
VERSION = os.getenv("VERSION", default="latest")

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def goog_tensorflow_service(memory_limit, core_limit, image, gpu=False):
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    """
    :rtype: dict
    """
    service = {
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        'name': "tf-jupyter",
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        'image': image,
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        'monitor': True,
        'resources': {
            "memory": {
                "min": memory_limit,
                "max": memory_limit
            },
            "cores": {
                "min": core_limit,
                "max": core_limit
            }
        },
        'ports': [
            {
                'name': "Tensorboard web interface",
                'protocol': "tcp",
                'port_number': 6006,
                'url_template': "http://{ip_port}/"
            },
            {
                'name': "Notebook web interface",
                'protocol': "tcp",
                'port_number': 8888,
                'url_template': "http://{ip_port}/"
            }
        ],
        'environment': [],
        'volumes': [],
        'command': None,
        'total_count': 1,
        'essential_count': 1,
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        'startup_order': 0,
        'replicas': 1
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    }
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    if gpu:
        service['labels'] = ['gpu']
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    return service


if __name__ == '__main__':
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    for app_name, image, gpu in APPS:
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        app = {
            'name': app_name,
            'version': ZOE_APPLICATION_DESCRIPTION_VERSION,
            'will_end': False,
            'size': 512,
            'services': [
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                goog_tensorflow_service(options["memory_limit"]["value"], options["core_limit"]["value"], image, gpu)
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            ]
        }
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        json.dump(app, open(app_name + ".json", "w"), sort_keys=True, indent=4)
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    print("ZApps written")
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