Merge 'master' branch into 'tf-2' branch.

README.rst

@@ -56,6 +56,10 @@ The Docker images are built from the Dockerfiles specified in
 The Docker files are grouped based on TensorFlow version and separated
 based on Python version and processor type.
 
+The Docker files for TensorFlow 2.0 are available in the
+`tf-2 <https://github.com/aws/sagemaker-tensorflow-container/tree/tf-2>`__ branch, in
+`docker/2.0.0/ <https://github.com/aws/sagemaker-tensorflow-container/tree/tf-2/docker/2.0.0>`__.
+
 The Docker images, used to run training & inference jobs, are built from
 both corresponding "base" and "final" Dockerfiles.
 

buildspec-release.yml

@@ -2,7 +2,7 @@ version: 0.2
 
 env:
   variables:
-    FRAMEWORK_VERSION: '1.13.1'
+    FRAMEWORK_VERSION: '1.15.0'
     GPU_INSTANCE_TYPE: 'ml.p2.xlarge'
     SETUP_FILE: 'setup_cmds.sh'
     SETUP_CMDS: '#!/bin/bash\npip install --upgrade pip\npip install -U -e .\npip install -U -e .[test]'
@@ -60,21 +60,21 @@ phases:
         echo '[{
           "repository": "sagemaker-tensorflow-scriptmode",
           "tags": [{
-            "source": "1.13.1-cpu-py2",
-            "dest": ["1.13.1-cpu-py2", "1.13-cpu-py2", "1.13.1-cpu-py2-'${CODEBUILD_BUILD_ID#*:}'"]
+            "source": "1.15.0-cpu-py2",
+            "dest": ["1.15.0-cpu-py2", "1.15-cpu-py2", "1.15.0-cpu-py2-'${CODEBUILD_BUILD_ID#*:}'"]
           },{
-            "source": "1.13.1-cpu-py3",
-            "dest": ["1.13.1-cpu-py3", "1.13-cpu-py3", "1.13.1-cpu-py3-'${CODEBUILD_BUILD_ID#*:}'"]
+            "source": "1.15.0-cpu-py3",
+            "dest": ["1.15.0-cpu-py3", "1.15-cpu-py3", "1.15.0-cpu-py3-'${CODEBUILD_BUILD_ID#*:}'"]
           },{
-            "source": "1.13.1-gpu-py2",
-            "dest": ["1.13.1-gpu-py2", "1.13-gpu-py2", "1.13.1-gpu-py2-'${CODEBUILD_BUILD_ID#*:}'"]
+            "source": "1.15.0-gpu-py2",
+            "dest": ["1.15.0-gpu-py2", "1.15-gpu-py2", "1.15.0-gpu-py2-'${CODEBUILD_BUILD_ID#*:}'"]
           },{
-            "source": "1.13.1-gpu-py3",
-            "dest": ["1.13.1-gpu-py3", "1.13-gpu-py3", "1.13.1-gpu-py3-'${CODEBUILD_BUILD_ID#*:}'"]
+            "source": "1.15.0-gpu-py3",
+            "dest": ["1.15.0-gpu-py3", "1.15-gpu-py3", "1.15.0-gpu-py3-'${CODEBUILD_BUILD_ID#*:}'"]
           }],
           "test": [
-            "IGNORE_COVERAGE=- tox -e py36 -- -m deploy_test test/integration/sagemaker -n 4 --region {region} --account-id {aws-id} --instance-type {cpu-instance-type} --docker-base-name sagemaker-tensorflow-scriptmode --framework-version 1.13.1 --processor cpu --py-version 2,3",
-            "IGNORE_COVERAGE=- tox -e py36 -- -m deploy_test test/integration/sagemaker -n 4 --region {region} --account-id {aws-id} --docker-base-name sagemaker-tensorflow-scriptmode --framework-version 1.13.1 --processor gpu --py-version 2,3"
+            "IGNORE_COVERAGE=- tox -e py36 -- -m deploy_test test/integration/sagemaker -n 4 --region {region} --account-id {aws-id} --instance-type {cpu-instance-type} --docker-base-name sagemaker-tensorflow-scriptmode --framework-version 1.15.0 --processor cpu --py-version 2,3",
+            "IGNORE_COVERAGE=- tox -e py36 -- -m deploy_test test/integration/sagemaker -n 4 --region {region} --account-id {aws-id} --docker-base-name sagemaker-tensorflow-scriptmode --framework-version 1.15.0 --processor gpu --py-version 2,3"
           ]
         }]' > deployments.json
 

buildspec.yml

@@ -2,11 +2,7 @@ version: 0.2
 
 env:
   variables:
-    FRAMEWORK_VERSION: '1.13.1'
-    CPU_FRAMEWORK_BINARY: 'https://s3-us-west-2.amazonaws.com/tensorflow-aws/1.13/AmazonLinux/cpu/latest-patch-latest-patch/tensorflow-1.13.1-cp36-cp36m-linux_x86_64.whl'
-    CPU_PY_VERSION: '3'
-    GPU_FRAMEWORK_BINARY: 'https://s3-us-west-2.amazonaws.com/tensorflow-aws/1.13/AmazonLinux/gpu/latest-patch-latest-patch/tensorflow-1.13.1-cp36-cp36m-linux_x86_64.whl'
-    GPU_PY_VERSION: '3'
+    FRAMEWORK_VERSION: '1.15.0'
     ECR_REPO: 'sagemaker-test'
     GITHUB_REPO: 'sagemaker-tensorflow-container'
     SETUP_FILE: 'setup_cmds.sh'
@@ -34,80 +30,95 @@ phases:
       - tox -e py36,py27 test/unit
 
       # Create pip archive
-      - build_dir="docker/$FRAMEWORK_VERSION"
+      - root_dir=$(pwd)
       - build_id="$(echo $CODEBUILD_BUILD_ID | sed -e 's/:/-/g')"
       - python3 setup.py sdist
       - tar_name=$(ls dist)
-      - cp dist/$tar_name $build_dir
 
-      # build cpu image
-      - cpu_dockerfile="Dockerfile.cpu"
+      # Find build artifacts
+      - build_artifacts=$root_dir/docker/artifacts
 
-      # Download framework binary
-      - cpu_fw_binary=$(basename $CPU_FRAMEWORK_BINARY)
-      - wget -O $build_dir/$cpu_fw_binary $CPU_FRAMEWORK_BINARY
-
-      - CPU_TAG="$FRAMEWORK_VERSION-cpu-py$CPU_PY_VERSION-$build_id"
+      # build py2 images
 
+      # prepare build context
+      - build_dir="$root_dir/docker/$FRAMEWORK_VERSION/py2"
+      - cp $root_dir/dist/$tar_name $build_dir
+      - cp $build_artifacts/* $build_dir/
       - cd $build_dir
-      - docker build -f $cpu_dockerfile --build-arg framework_support_installable=$tar_name --build-arg py_version=$CPU_PY_VERSION --build-arg framework_installable=$cpu_fw_binary -t $PREPROD_IMAGE:$CPU_TAG .
-      - cd ../../
+
+      # build cpu image
+      - cpu_dockerfile="Dockerfile.cpu"
+      - CPU_TAG_PY2="$FRAMEWORK_VERSION-cpu-py2-$build_id"
+      - docker build -f $cpu_dockerfile -t $PREPROD_IMAGE:$CPU_TAG_PY2 .
 
       # build gpu image
       - gpu_dockerfile="Dockerfile.gpu"
+      - GPU_TAG_PY2="$FRAMEWORK_VERSION-gpu-py2-$build_id"
+      - docker build -f $gpu_dockerfile -t $PREPROD_IMAGE:$GPU_TAG_PY2 .
 
-      # Download framework binary
-      - gpu_fw_binary=$(basename $GPU_FRAMEWORK_BINARY)
-      - wget -O $build_dir/$gpu_fw_binary $GPU_FRAMEWORK_BINARY
-
-      - GPU_TAG="$FRAMEWORK_VERSION-gpu-py$GPU_PY_VERSION-$build_id"
+      # build py3 images
 
+      # prepare build context
+      - build_dir="$root_dir/docker/$FRAMEWORK_VERSION/py3"
+      - cp $root_dir/dist/$tar_name $build_dir
+      - cp $build_artifacts/* $build_dir/
       - cd $build_dir
-      - docker build -f $gpu_dockerfile --build-arg framework_support_installable=$tar_name --build-arg py_version=$GPU_PY_VERSION --build-arg framework_installable=$gpu_fw_binary -t $PREPROD_IMAGE:$GPU_TAG .
-      - cd ../../
+
+      # build cpu image
+      - cpu_dockerfile="Dockerfile.cpu"
+      - CPU_TAG_PY3="$FRAMEWORK_VERSION-cpu-py3-$build_id"
+      - docker build -f $cpu_dockerfile -t $PREPROD_IMAGE:$CPU_TAG_PY3 .
+
+      # build gpu image
+      - gpu_dockerfile="Dockerfile.gpu"
+      - GPU_TAG_PY3="$FRAMEWORK_VERSION-gpu-py3-$build_id"
+      - docker build -f $gpu_dockerfile -t $PREPROD_IMAGE:$GPU_TAG_PY3 .
 
       # push images to ecr
       - $(aws ecr get-login --registry-ids $ACCOUNT --no-include-email --region $AWS_DEFAULT_REGION)
-      - docker push $PREPROD_IMAGE:$CPU_TAG
-      - docker push $PREPROD_IMAGE:$GPU_TAG
+      - docker push $PREPROD_IMAGE:$CPU_TAG_PY2
+      - docker push $PREPROD_IMAGE:$GPU_TAG_PY2
+      - docker push $PREPROD_IMAGE:$CPU_TAG_PY3
+      - docker push $PREPROD_IMAGE:$GPU_TAG_PY3
 
       # launch remote gpu instance
       - instance_type='p2.xlarge'
       - create-key-pair
       - launch-ec2-instance --instance-type $instance_type --ami-name dlami-ubuntu
 
       # run cpu integration tests
-      - |
-        if has-matching-changes "test/" "tests/" "src/*.py" "docker/*" "buildspec.yml"; then
-          pytest test/integration/local --region $AWS_DEFAULT_REGION --docker-base-name $PREPROD_IMAGE --tag $CPU_TAG --framework-version $FRAMEWORK_VERSION --py-version $CPU_PY_VERSION --processor cpu
-        else
-          echo "skipping cpu integration tests"
-        fi
+      - py3_cmd="pytest test/integration/local --region $AWS_DEFAULT_REGION --docker-base-name $PREPROD_IMAGE --tag $CPU_TAG_PY2 --framework-version $FRAMEWORK_VERSION --py-version 2 --processor cpu"
+      - py2_cmd="pytest test/integration/local --region $AWS_DEFAULT_REGION --docker-base-name $PREPROD_IMAGE --tag $CPU_TAG_PY3 --framework-version $FRAMEWORK_VERSION --py-version 3 --processor cpu"
+      - execute-command-if-has-matching-changes "$py3_cmd" "test/" "src/*.py" "setup.py" "docker/*" "buildspec.yml"
+      - execute-command-if-has-matching-changes "$py2_cmd" "test/" "src/*.py" "setup.py" "docker/*" "buildspec.yml"
 
       # run gpu integration tests
-      - |
-        if has-matching-changes "test/" "tests/" "src/*.py" "docker/*" "buildspec.yml"; then
-          printf "$SETUP_CMDS" > $SETUP_FILE
-          cmd="pytest test/integration/local --region $AWS_DEFAULT_REGION --docker-base-name $PREPROD_IMAGE --tag $GPU_TAG --framework-version $FRAMEWORK_VERSION --py-version $GPU_PY_VERSION --processor gpu"
-          remote-test --github-repo $GITHUB_REPO --test-cmd "$cmd" --setup-file $SETUP_FILE --pr-number "$PR_NUM"
-        else
-          echo "skipping gpu integration tests"
-        fi
+      - printf "$SETUP_CMDS" > $SETUP_FILE
+      - cmd="pytest test/integration/local --region $AWS_DEFAULT_REGION --docker-base-name $PREPROD_IMAGE --tag $GPU_TAG_PY2 --framework-version $FRAMEWORK_VERSION --py-version 2 --processor gpu"
+      - py3_cmd="remote-test --github-repo $GITHUB_REPO --test-cmd \"$cmd\" --setup-file $SETUP_FILE --pr-number \"$PR_NUM\""
+      - execute-command-if-has-matching-changes "$py3_cmd" "test/" "src/*.py" "setup.py" "docker/*" "buildspec.yml"
+
+      - cmd="pytest test/integration/local --region $AWS_DEFAULT_REGION --docker-base-name $PREPROD_IMAGE --tag $GPU_TAG_PY3 --framework-version $FRAMEWORK_VERSION --py-version 3 --processor gpu"
+      - py2_cmd="remote-test --github-repo $GITHUB_REPO --test-cmd \"$cmd\" --setup-file $SETUP_FILE --pr-number \"$PR_NUM\""
+      - execute-command-if-has-matching-changes "$py2_cmd" "test/" "src/*.py" "setup.py" "docker/*" "buildspec.yml"
 
       # run sagemaker tests
-      - |
-        if has-matching-changes "test/" "tests/" "src/*.py" "docker/*" "buildspec.yml"; then
-          pytest test/integration/sagemaker -n 8 --region $AWS_DEFAULT_REGION --docker-base-name $ECR_REPO --account-id $ACCOUNT --tag $CPU_TAG --py-version $CPU_PY_VERSION --processor cpu
-          pytest test/integration/sagemaker -n 8 --region $AWS_DEFAULT_REGION --docker-base-name $ECR_REPO --account-id $ACCOUNT --tag $GPU_TAG --py-version $GPU_PY_VERSION --processor gpu
-        else
-          echo "skipping sagemaker tests"
-        fi
+      - test_cmd="pytest test/integration/sagemaker -n 8 --region $AWS_DEFAULT_REGION --docker-base-name $ECR_REPO --account-id $ACCOUNT --tag $CPU_TAG_PY2 --py-version 2 --processor cpu"
+      - execute-command-if-has-matching-changes "$test_cmd" "test/" "src/*.py" "setup.py" "docker/*" "buildspec.yml"
+      - test_cmd="pytest test/integration/sagemaker -n 8 --region $AWS_DEFAULT_REGION --docker-base-name $ECR_REPO --account-id $ACCOUNT --tag $GPU_TAG_PY2 --py-version 2 --processor gpu"
+      - execute-command-if-has-matching-changes "$test_cmd" "test/" "src/*.py" "setup.py" "docker/*" "buildspec.yml"
+      - test_cmd="pytest test/integration/sagemaker -n 8 --region $AWS_DEFAULT_REGION --docker-base-name $ECR_REPO --account-id $ACCOUNT --tag $CPU_TAG_PY3 --py-version 3 --processor cpu"
+      - execute-command-if-has-matching-changes "$test_cmd" "test/" "src/*.py" "setup.py" "docker/*" "buildspec.yml"
+      - test_cmd="pytest test/integration/sagemaker -n 8 --region $AWS_DEFAULT_REGION --docker-base-name $ECR_REPO --account-id $ACCOUNT --tag $GPU_TAG_PY3 --py-version 3 --processor gpu"
+      - execute-command-if-has-matching-changes "$test_cmd" "test/" "src/*.py" "setup.py" "docker/*" "buildspec.yml"
 
     finally:
       # shut down remote gpu instance
       - cleanup-gpu-instances
       - cleanup-key-pairs
 
       # remove ecr image
-      - aws ecr batch-delete-image --repository-name $ECR_REPO --region $AWS_DEFAULT_REGION --image-ids imageTag=$CPU_TAG
-      - aws ecr batch-delete-image --repository-name $ECR_REPO --region $AWS_DEFAULT_REGION --image-ids imageTag=$GPU_TAG
+      - aws ecr batch-delete-image --repository-name $ECR_REPO --region $AWS_DEFAULT_REGION --image-ids imageTag=$CPU_TAG_PY2
+      - aws ecr batch-delete-image --repository-name $ECR_REPO --region $AWS_DEFAULT_REGION --image-ids imageTag=$GPU_TAG_PY2
+      - aws ecr batch-delete-image --repository-name $ECR_REPO --region $AWS_DEFAULT_REGION --image-ids imageTag=$CPU_TAG_PY3
+      - aws ecr batch-delete-image --repository-name $ECR_REPO --region $AWS_DEFAULT_REGION --image-ids imageTag=$GPU_TAG_PY3

docker/1.15.0/py2/Dockerfile.cpu

@@ -0,0 +1,125 @@
+FROM ubuntu:18.04
+
+LABEL maintainer="Amazon AI"
+
+# Prevent docker build get stopped by requesting user interaction
+ENV DEBIAN_FRONTEND=noninteractive
+ENV DEBCONF_NONINTERACTIVE_SEEN=true
+# Set environment variables for MKL
+# https://www.tensorflow.org/performance/performance_guide#tensorflow_with_intel%C2%AE_mkl_dnn
+ENV KMP_AFFINITY=granularity=fine,compact,1,0
+ENV KMP_BLOCKTIME=1
+ENV KMP_SETTINGS=0
+# Python won’t try to write .pyc or .pyo files on the import of source modules
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+# See http://bugs.python.org/issue19846
+ENV PYTHONIOENCODING=UTF-8
+ENV LANG=C.UTF-8
+ENV LC_ALL=C.UTF-8
+# Specify the location of module that contains the training logic for SageMaker
+# https://docs.aws.amazon.com/sagemaker/latest/dg/docker-container-environmental-variables-entrypoint.html
+ENV SAGEMAKER_TRAINING_MODULE=sagemaker_tensorflow_container.training:main
+
+# Define framework-related package sources
+ARG FRAMEWORK_SUPPORT_INSTALLABLE=sagemaker_tensorflow_container*.tar.gz
+ARG TF_URL=https://tensorflow-aws.s3-us-west-2.amazonaws.com/1.15/AmazonLinux/cpu/final/tensorflow-1.15.0-cp27-cp27mu-manylinux2010_x86_64.whl
+
+RUN apt-get update \
+ && apt-get install -y --no-install-recommends \
+    software-properties-common \
+    build-essential \
+    openssh-client \
+    openssh-server \
+    ca-certificates \
+    curl \
+    git \
+    wget \
+    vim \
+    zlib1g-dev \
+ && rm -rf /var/lib/apt/lists/*
+
+# Install Open MPI
+RUN mkdir /tmp/openmpi \
+ && cd /tmp/openmpi \
+ && curl -fSsL -O https://download.open-mpi.org/release/open-mpi/v4.0/openmpi-4.0.1.tar.gz \
+ && tar zxf openmpi-4.0.1.tar.gz \
+ && cd openmpi-4.0.1 \
+ && ./configure --enable-orterun-prefix-by-default \
+ && make -j $(nproc) all \
+ && make install \
+ && ldconfig \
+ && rm -rf /tmp/openmpi
+
+# Create a wrapper for OpenMPI to allow running as root by default
+RUN mv /usr/local/bin/mpirun /usr/local/bin/mpirun.real \
+ && echo '#!/bin/bash' > /usr/local/bin/mpirun \
+ && echo 'mpirun.real --allow-run-as-root "$@"' >> /usr/local/bin/mpirun \
+ && chmod a+x /usr/local/bin/mpirun
+
+RUN echo "hwloc_base_binding_policy = none" >> /usr/local/etc/openmpi-mca-params.conf \
+ && echo "rmaps_base_mapping_policy = slot" >> /usr/local/etc/openmpi-mca-params.conf
+
+ENV LD_LIBRARY_PATH=/usr/local/openmpi/lib:$LD_LIBRARY_PATH
+ENV PATH=/usr/local/openmpi/bin/:$PATH
+
+# SSH login fix. Otherwise user is kicked off after login
+RUN sed 's@session\s*required\s*pam_loginuid.so@session optional pam_loginuid.so@g' -i /etc/pam.d/sshd
+
+# Create SSH key.
+RUN mkdir -p /root/.ssh/ \
+ && mkdir -p /var/run/sshd \
+ && ssh-keygen -q -t rsa -N '' -f /root/.ssh/id_rsa \
+ && cp /root/.ssh/id_rsa.pub /root/.ssh/authorized_keys \
+ && printf "Host *\n  StrictHostKeyChecking no\n" >> /root/.ssh/config
+
+WORKDIR /
+
+RUN apt-get update \
+ && apt-get install -y \
+    python \
+    python-pip
+
+COPY $FRAMEWORK_SUPPORT_INSTALLABLE .
+
+RUN pip --no-cache-dir install --upgrade \
+    pip \
+    setuptools
+
+# Some TF tools expect a "python" binary
+RUN ln -s $(which python) /usr/local/bin/python
+
+RUN pip install --no-cache-dir -U \
+    numpy==1.16.5 \
+    scipy==1.2.2 \
+    scikit-learn==0.20.3 \
+    pandas==0.24.2 \
+    Pillow==6.2.1 \
+    h5py==2.9.0 \
+    keras_applications==1.0.8 \
+    keras_preprocessing==1.1.0 \
+    requests==2.22.0 \
+    keras==2.3.1 \
+    mpi4py==3.0.2 \
+    "cryptography>=2.3" \
+    "sagemaker-tensorflow>=1.15,<1.16" \
+    # Let's install TensorFlow separately in the end to avoid the library version to be overwritten
+ && pip install --force-reinstall --no-cache-dir -U \
+    ${TF_URL} \
+ && pip install --no-cache-dir -U \
+    $FRAMEWORK_SUPPORT_INSTALLABLE \
+    awscli==1.17.7 \
+ && rm -f $FRAMEWORK_SUPPORT_INSTALLABLE \
+ && pip install --no-cache-dir -U \
+    horovod==0.18.2
+
+COPY dockerd-entrypoint.py /usr/local/bin/dockerd-entrypoint.py
+COPY deep_learning_container.py /usr/local/bin/deep_learning_container.py
+
+RUN chmod +x /usr/local/bin/dockerd-entrypoint.py \
+ && chmod +x /usr/local/bin/deep_learning_container.py
+
+RUN curl https://aws-dlc-licenses.s3.amazonaws.com/tensorflow/license.txt -o /license.txt
+
+ENTRYPOINT ["python", "/usr/local/bin/dockerd-entrypoint.py"]
+CMD ["bin/bash"]