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Fixed handler service to allow running custom user modules in multi-m… #73

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Merged
merged 2 commits into from
May 1, 2020
Merged

Fixed handler service to allow running custom user modules in multi-m… #73

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9204dab
Fixed handler service to allow running custom user modules in multi-m…
giuseppeporcelli Apr 30, 2020
71675fa
Fixed flake8 errors.
giuseppeporcelli Apr 30, 2020
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17 changes: 17 additions & 0 deletions src/sagemaker_pytorch_serving_container/handler_service.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,8 +17,14 @@
from sagemaker_pytorch_serving_container.default_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.
Expand All @@ -31,5 +37,16 @@ class HandlerService(DefaultHandlerService):

"""
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)