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arjkesharjkesh
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Update artifacts (#36)
1 parent 09db85a commit 00af7af

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‎docker/1.2.0/py2/Dockerfile.cpu

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@@ -62,10 +62,8 @@ RUN useradd -m model-server \
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COPY docker/$PYTORCH_VERSION/py2/mms-entrypoint.py /usr/local/bin/dockerd-entrypoint.py
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COPY docker/$PYTORCH_VERSION/py2/config.properties /home/model-server
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COPY src/sagemaker_pytorch_serving_container/deep_learning_container.py /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py && \
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chmod +x /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py
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COPY dist/sagemaker_pytorch_serving_container-1.2-py2.py3-none-any.whl /sagemaker_pytorch_serving_container-1.2-py2.py3-none-any.whl
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RUN pip install --no-cache-dir /sagemaker_pytorch_serving_container-1.2-py2.py3-none-any.whl && \

‎docker/1.2.0/py2/Dockerfile.gpu

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@@ -74,10 +74,8 @@ RUN useradd -m model-server \
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COPY docker/$PYTORCH_VERSION/py2/mms-entrypoint.py /usr/local/bin/dockerd-entrypoint.py
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COPY docker/$PYTORCH_VERSION/py2/config.properties /home/model-server
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COPY src/sagemaker_pytorch_serving_container/deep_learning_container.py /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py && \
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chmod +x /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py
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# Install OpenSSH for MPI to communicate between containers, Allow OpenSSH to talk to containers without asking for confirmation
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RUN apt-get install -y --no-install-recommends openssh-client openssh-server && \

‎docker/1.2.0/py2/mms-entrypoint.py

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import shlex
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import subprocess
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import sys
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import os.path
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from sagemaker_pytorch_serving_container import serving
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if not os.path.exists("/opt/ml/input/config"):
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subprocess.call(['python', '/usr/local/bin/deep_learning_container.py', '&>/dev/null', '&'])
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if sys.argv[1] == 'serve':
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serving.main()

‎docker/1.2.0/py3/Dockerfile.cpu

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@@ -63,10 +63,8 @@ RUN useradd -m model-server \
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COPY docker/$PYTORCH_VERSION/py3/mms-entrypoint.py /usr/local/bin/dockerd-entrypoint.py
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COPY docker/$PYTORCH_VERSION/py3/config.properties /home/model-server
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COPY src/sagemaker_pytorch_serving_container/deep_learning_container.py /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py && \
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chmod +x /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py
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COPY dist/sagemaker_pytorch_serving_container-1.2-py2.py3-none-any.whl /sagemaker_pytorch_serving_container-1.2-py2.py3-none-any.whl
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RUN pip install --no-cache-dir /sagemaker_pytorch_serving_container-1.2-py2.py3-none-any.whl && \

‎docker/1.2.0/py3/Dockerfile.gpu

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@@ -75,10 +75,8 @@ RUN useradd -m model-server \
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COPY docker/$PYTORCH_VERSION/py3/mms-entrypoint.py /usr/local/bin/dockerd-entrypoint.py
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COPY docker/$PYTORCH_VERSION/py3/config.properties /home/model-server
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COPY src/sagemaker_pytorch_serving_container/deep_learning_container.py /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py && \
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chmod +x /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py
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COPY dist/sagemaker_pytorch_serving_container-1.2-py2.py3-none-any.whl /sagemaker_pytorch_serving_container-1.2-py2.py3-none-any.whl
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RUN pip install --no-cache-dir /sagemaker_pytorch_serving_container-1.2-py2.py3-none-any.whl && \

‎docker/1.2.0/py3/mms-entrypoint.py

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import shlex
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import subprocess
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import sys
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import os.path
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from sagemaker_pytorch_serving_container import serving
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if not os.path.exists("/opt/ml/input/config"):
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subprocess.call(['python', '/usr/local/bin/deep_learning_container.py', '&>/dev/null', '&'])
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if sys.argv[1] == 'serve':
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serving.main()

‎docker/1.3.1/py2/Dockerfile.cpu

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@@ -74,10 +74,8 @@ RUN useradd -m model-server \
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COPY mms-entrypoint.py /usr/local/bin/dockerd-entrypoint.py
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COPY config.properties /home/model-server
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COPY deep_learning_container.py /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py \
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&& chmod +x /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py
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COPY sagemaker_pytorch_serving_container-1.3-py2.py3-none-any.whl /sagemaker_pytorch_serving_container-1.3-py2.py3-none-any.whl
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RUN pip install --no-cache-dir \

‎docker/1.3.1/py2/Dockerfile.gpu

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@@ -88,10 +88,8 @@ RUN useradd -m model-server \
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COPY mms-entrypoint.py /usr/local/bin/dockerd-entrypoint.py
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COPY config.properties /home/model-server
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COPY deep_learning_container.py /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py \
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&& chmod +x /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py
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# Install OpenSSH for MPI to communicate between containers, Allow OpenSSH to talk to containers without asking for confirmation
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RUN apt-get install -y --no-install-recommends \

‎docker/1.3.1/py3/Dockerfile.cpu

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@@ -73,10 +73,8 @@ RUN useradd -m model-server \
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COPY mms-entrypoint.py /usr/local/bin/dockerd-entrypoint.py
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COPY config.properties /home/model-server
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COPY deep_learning_container.py /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py \
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&& chmod +x /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py
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COPY sagemaker_pytorch_serving_container-1.3-py2.py3-none-any.whl /sagemaker_pytorch_serving_container-1.3-py2.py3-none-any.whl
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RUN pip install --no-cache-dir \

‎docker/1.3.1/py3/Dockerfile.gpu

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@@ -90,10 +90,8 @@ RUN useradd -m model-server \
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COPY mms-entrypoint.py /usr/local/bin/dockerd-entrypoint.py
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COPY config.properties /home/model-server
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COPY deep_learning_container.py /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py \
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&& chmod +x /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/dockerd-entrypoint.py
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COPY sagemaker_pytorch_serving_container-1.3-py2.py3-none-any.whl /sagemaker_pytorch_serving_container-1.3-py2.py3-none-any.whl
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RUN pip install --no-cache-dir \

‎docker/__init__.py

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‎docker/build_artifacts/__init__.py

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‎docker/build_artifacts/deep_learning_container.py

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‎docker/build_artifacts/mms-entrypoint.py

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import shlex
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import subprocess
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import sys
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import os.path
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if not os.path.exists("/opt/ml/input/config"):
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subprocess.call(['python', '/usr/local/bin/deep_learning_container.py', '&>/dev/null', '&'])
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if sys.argv[1] == 'serve':
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from sagemaker_pytorch_serving_container import serving

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