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vandanavkYYStreet
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smdebug 0.7.1 (#323)
Co-authored-by: Zhuo Weng <wenzhuo@amazon.com>
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docker/1.15.2/py3/Dockerfile.cpu

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@@ -99,7 +99,7 @@ RUN pip install --no-cache-dir -U \
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keras_preprocessing==1.1.0 \
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keras==2.3.1 \
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requests==2.22.0 \
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smdebug==0.7.0 \
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smdebug==0.7.1 \
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sagemaker==1.50.17 \
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sagemaker-experiments==0.1.7 \
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mpi4py==3.0.2 \

docker/1.15.2/py3/Dockerfile.gpu

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@@ -22,7 +22,6 @@ ENV SAGEMAKER_TRAINING_MODULE=sagemaker_tensorflow_container.training:main
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ARG FRAMEWORK_SUPPORT_INSTALLABLE=sagemaker_tensorflow_training*.tar.gz
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ARG TF_URL=https://tensorflow-aws.s3-us-west-2.amazonaws.com/1.15.2/AmazonLinux/gpu/final/tensorflow_gpu-1.15.2-cp36-cp36m-manylinux2010_x86_64.whl
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends --allow-unauthenticated \
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python3-dev \
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keras_preprocessing==1.1.0 \
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requests==2.22.0 \
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keras==2.3.1 \
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smdebug==0.7.0 \
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smdebug==0.7.1 \
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sagemaker==1.50.17 \
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sagemaker-experiments==0.1.7 \
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mpi4py==3.0.2 \

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