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4021124 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file 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.
from __future__ import absolute_import
import sys
import shlex
import subprocess
from retrying import retry
from sagemaker_inference import model_server
from subprocess import CalledProcessError
def _retry_if_error(exception):
return isinstance(exception, CalledProcessError or OSError)
@retry(stop_max_delay=1000 * 50, retry_on_exception=_retry_if_error)
def _start_mms():
# by default the number of workers per model is 1, but we can configure it through the
# environment variable below if desired.
# os.environ['SAGEMAKER_MODEL_SERVER_WORKERS'] = '2'
model_server.start_model_server(handler_service="/home/model-server/model_handler.py:handle")
def main():
if sys.argv[1] == "serve":
_start_mms()
else:
subprocess.check_call(shlex.split(" ".join(sys.argv[1:])))
# prevent docker exit
subprocess.call(["tail", "-f", "/dev/null"])
main()
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