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handler_service.py
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# Copyright 2019-2020 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
from sagemaker_inference.default_handler_service import DefaultHandlerService
from sagemaker_inference.transformer import Transformer
from sagemaker_pytorch_serving_container.default_pytorch_inference_handler import DefaultPytorchInferenceHandler
import os
import sys
ENABLE_MULTI_MODEL = os.getenv("SAGEMAKER_MULTI_MODEL", "false") == "true"
class HandlerService(DefaultHandlerService):
"""Handler service that is executed by the model server.
Determines specific default inference handlers to use based on the type MXNet model being used.
This class extends ``DefaultHandlerService``, which define the following:
- The ``handle`` method is invoked for all incoming inference requests to the model server.
- The ``initialize`` method is invoked at model server start up.
Based on: https://github.com/awslabs/mxnet-model-server/blob/master/docs/custom_service.md
"""
def __init__(self):
self._initialized = False
transformer = Transformer(default_inference_handler=DefaultPytorchInferenceHandler())
super(HandlerService, self).__init__(transformer=transformer)
def initialize(self, context):
# Adding the 'code' directory path to sys.path to allow importing user modules when multi-model mode is enabled.
if (not self._initialized) and ENABLE_MULTI_MODEL:
code_dir = os.path.join(context.system_properties.get("model_dir"), 'code')
sys.path.append(code_dir)
self._initialized = True
super().initialize(context)