change: add py2 support for TF 1.14

docker/1.14.0/py2/Dockerfile.cpu

@@ -0,0 +1,127 @@
+FROM ubuntu:16.04
+
+LABEL maintainer="Amazon AI"
+
+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 \
+    gcc-4.9 \
+    g++-4.9 \
+    gcc-4.9-base \
+    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
+
+# Set environment variables for MKL
+# For more about MKL with TensorFlow see:
+# https://www.tensorflow.org/performance/performance_guide#tensorflow_with_intel%C2%AE_mkl_dnn
+ENV KMP_AFFINITY=granularity=fine,compact,1,0 KMP_BLOCKTIME=1 KMP_SETTINGS=0
+
+WORKDIR /
+
+ARG PYTHON=python
+ARG PYTHON_PIP=python-pip
+ARG PIP=pip
+
+RUN apt-get update && apt-get install -y \
+    ${PYTHON} \
+    ${PYTHON_PIP}
+
+ENV PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1 PYTHONIOENCODING=UTF-8 LANG=C.UTF-8 LC_ALL=C.UTF-8
+
+ARG framework_support_installable=sagemaker_tensorflow_container-2.0.0.tar.gz
+ARG sagemaker_tensorflow_extensions=sagemaker_tensorflow-1.14.0.1.0.0-cp27-cp27mu-manylinux1_x86_64.whl
+COPY $framework_support_installable .
+COPY $sagemaker_tensorflow_extensions .
+ARG TF_URL="https://tensorflow-aws.s3-us-west-2.amazonaws.com/1.14/AmazonLinux/cpu/final/tensorflow-1.14.0-cp27-cp27mu-linux_x86_64.whl"
+
+# Pin GCC to 4.9 (priority 200) to compile correctly against TensorFlow, PyTorch, and MXNet with horovod
+# Backup existing GCC installation as priority 100, so that it can be recovered later.
+RUN update-alternatives --install /usr/bin/gcc gcc $(readlink -f $(which gcc)) 100 && \
+    update-alternatives --install /usr/bin/x86_64-linux-gnu-gcc x86_64-linux-gnu-gcc $(readlink -f $(which gcc)) 100 && \
+    update-alternatives --install /usr/bin/g++ g++ $(readlink -f $(which g++)) 100 && \
+    update-alternatives --install /usr/bin/x86_64-linux-gnu-g++ x86_64-linux-gnu-g++ $(readlink -f $(which g++)) 100
+RUN update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.9 200 && \
+    update-alternatives --install /usr/bin/x86_64-linux-gnu-gcc x86_64-linux-gnu-gcc /usr/bin/gcc-4.9 200 && \
+    update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.9 200 && \
+    update-alternatives --install /usr/bin/x86_64-linux-gnu-g++ x86_64-linux-gnu-g++ /usr/bin/g++-4.9 200
+
+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==1.16.4 \
+            scipy==1.2.2 \
+            scikit-learn==0.20.3 \
+            pandas==0.24.2 \
+            Pillow==6.1.0 \
+            h5py==2.9.0 \
+            keras_applications==1.0.8 \
+            keras_preprocessing==1.1.0 \
+            requests==2.22.0 \
+            keras==2.2.4 \
+            awscli==1.16.196 \
+            mpi4py==3.0.2 \
+            $sagemaker_tensorflow_extensions \
+            # 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 && \
+        rm -f $framework_support_installable \
+    && ${PIP} install --no-cache-dir -U horovod==0.16.4 \
+    && ${PIP} uninstall -y --no-cache-dir \
+        markdown
+
+# Remove GCC pinning
+RUN update-alternatives --remove gcc /usr/bin/gcc-4.9 && \
+    update-alternatives --remove x86_64-linux-gnu-gcc /usr/bin/gcc-4.9 && \
+    update-alternatives --remove g++ /usr/bin/g++-4.9 && \
+    update-alternatives --remove x86_64-linux-gnu-g++ /usr/bin/g++-4.9
+
+
+ENV SAGEMAKER_TRAINING_MODULE sagemaker_tensorflow_container.training:main
+
+CMD ["bin/bash"]

docker/1.14.0/py2/Dockerfile.gpu

@@ -0,0 +1,167 @@
+FROM nvidia/cuda:10.0-base-ubuntu16.04
+
+LABEL maintainer="Amazon AI"
+
+RUN apt-get update && apt-get install -y --no-install-recommends --allow-unauthenticated \
+        ca-certificates \
+        cuda-command-line-tools-10-0 \
+        cuda-cublas-dev-10-0 \
+        cuda-cudart-dev-10-0 \
+        cuda-cufft-dev-10-0 \
+        cuda-curand-dev-10-0 \
+        cuda-cusolver-dev-10-0 \
+        cuda-cusparse-dev-10-0 \
+        curl \
+        libcudnn7=7.5.1.10-1+cuda10.0 \
+        # TensorFlow doesn't require libnccl anymore but Open MPI still depends on it
+        libnccl2=2.4.7-1+cuda10.0 \
+        libgomp1 \
+        gcc-4.9 \
+        g++-4.9 \
+        gcc-4.9-base \
+        libnccl-dev=2.4.7-1+cuda10.0 \
+        libfreetype6-dev \
+        libhdf5-serial-dev \
+        libpng12-dev \
+        libzmq3-dev \
+        git \
+        wget \
+        vim \
+        build-essential \
+        openssh-client \
+        openssh-server \
+        zlib1g-dev && \
+    # The 'apt-get install' of nvinfer-runtime-trt-repo-ubuntu1604-4.0.1-ga-cuda9.0
+    # adds a new list which contains libnvinfer library, so it needs another
+    # 'apt-get update' to retrieve that list before it can actually install the
+    # library.
+    # We don't install libnvinfer-dev since we don't need to build against TensorRT,
+    # and libnvinfer4 doesn't contain libnvinfer.a static library.
+    apt-get update && apt-get install -y --no-install-recommends --allow-unauthenticated  \
+        nvinfer-runtime-trt-repo-ubuntu1604-5.0.2-ga-cuda10.0 && \
+    apt-get update && apt-get install -y --no-install-recommends --allow-unauthenticated  \
+        libnvinfer5=5.0.2-1+cuda10.0 && \
+    rm /usr/lib/x86_64-linux-gnu/libnvinfer_plugin* && \
+    rm /usr/lib/x86_64-linux-gnu/libnvcaffe_parser* && \
+    rm /usr/lib/x86_64-linux-gnu/libnvparsers* && \
+    rm -rf /var/lib/apt/lists/* && \
+    mkdir -p /var/run/sshd
+
+# 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
+
+ARG PYTHON=python
+ARG PYTHON_PIP=python-pip
+ARG PIP=pip
+
+RUN apt-get update && apt-get install -y \
+    ${PYTHON} \
+    ${PYTHON_PIP}
+
+# Create a wrapper for OpenMPI to allow running as root by default
+RUN mv /usr/local/bin/mpirun /usr/local/bin/mpirun.real && \
+    echo '#!/bin/bash' > /usr/local/bin/mpirun && \
+    echo 'mpirun.real --allow-run-as-root "$@"' >> /usr/local/bin/mpirun && \
+    chmod a+x /usr/local/bin/mpirun
+
+# Configure OpenMPI to run good defaults:
+#   --bind-to none --map-by slot --mca btl_tcp_if_exclude lo,docker0
+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
+
+# Set default NCCL parameters
+RUN echo NCCL_DEBUG=INFO >> /etc/nccl.conf
+
+ENV LD_LIBRARY_PATH=/usr/local/openmpi/lib:$LD_LIBRARY_PATH
+ENV PATH /usr/local/openmpi/bin/:$PATH
+ENV PATH=/usr/local/nvidia/bin:$PATH
+
+# SSH login fix. Otherwise user is kicked off after login
+RUN mkdir -p /var/run/sshd && 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/ && \
+  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
+
+###########################################################################
+# Python won’t try to write .pyc or .pyo files on the import of source modules
+ENV PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1 PYTHONIOENCODING=UTF-8 LANG=C.UTF-8 LC_ALL=C.UTF-8
+
+WORKDIR /
+
+ARG TF_URL="https://tensorflow-aws.s3-us-west-2.amazonaws.com/1.14/AmazonLinux/gpu/final/tensorflow-1.14.0-cp27-cp27mu-linux_x86_64.whl"
+
+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
+
+ARG framework_support_installable=sagemaker_tensorflow_container-2.0.0.tar.gz
+ARG sagemaker_tensorflow_extensions=sagemaker_tensorflow-1.14.0.1.0.0-cp27-cp27mu-manylinux1_x86_64.whl
+COPY $framework_support_installable .
+COPY $sagemaker_tensorflow_extensions .
+
+RUN ${PIP} install --no-cache-dir -U \
+            numpy==1.16.4 \
+            scipy==1.2.2 \
+            scikit-learn==0.20.3 \
+            pandas==0.24.2 \
+            Pillow==6.1.0 \
+            h5py==2.9.0 \
+            keras_applications==1.0.8 \
+            keras_preprocessing==1.1.0 \
+            requests==2.22.0 \
+            keras==2.2.4 \
+            awscli==1.16.196 \
+            mpi4py==3.0.2 \
+            $sagemaker_tensorflow_extensions \
+            # 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 && \
+                rm -f $framework_support_installable \
+            && ${PIP} uninstall -y --no-cache-dir \
+            markdown
+
+# Pin GCC to 4.9 (priority 200) to compile correctly against TensorFlow, PyTorch, and MXNet with horovod
+# Backup existing GCC installation as priority 100, so that it can be recovered later.
+RUN update-alternatives --install /usr/bin/gcc gcc $(readlink -f $(which gcc)) 100 && \
+    update-alternatives --install /usr/bin/x86_64-linux-gnu-gcc x86_64-linux-gnu-gcc $(readlink -f $(which gcc)) 100 && \
+    update-alternatives --install /usr/bin/g++ g++ $(readlink -f $(which g++)) 100 && \
+    update-alternatives --install /usr/bin/x86_64-linux-gnu-g++ x86_64-linux-gnu-g++ $(readlink -f $(which g++)) 100
+RUN update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.9 200 && \
+    update-alternatives --install /usr/bin/x86_64-linux-gnu-gcc x86_64-linux-gnu-gcc /usr/bin/gcc-4.9 200 && \
+    update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.9 200 && \
+    update-alternatives --install /usr/bin/x86_64-linux-gnu-g++ x86_64-linux-gnu-g++ /usr/bin/g++-4.9 200
+
+
+# Install Horovod, temporarily using CUDA stubs
+RUN ldconfig /usr/local/cuda-10.0/targets/x86_64-linux/lib/stubs && \
+    HOROVOD_GPU_ALLREDUCE=NCCL HOROVOD_WITH_TENSORFLOW=1 ${PIP} install --no-cache-dir horovod==0.16.4 && \
+    ldconfig
+
+# Remove GCC pinning
+RUN update-alternatives --remove gcc /usr/bin/gcc-4.9 && \
+    update-alternatives --remove x86_64-linux-gnu-gcc /usr/bin/gcc-4.9 && \
+    update-alternatives --remove g++ /usr/bin/g++-4.9 && \
+    update-alternatives --remove x86_64-linux-gnu-g++ /usr/bin/g++-4.9
+
+# Allow OpenSSH to talk to containers without asking for confirmation
+RUN cat /etc/ssh/ssh_config | grep -v StrictHostKeyChecking > /etc/ssh/ssh_config.new && \
+    echo "    StrictHostKeyChecking no" >> /etc/ssh/ssh_config.new && \
+    mv /etc/ssh/ssh_config.new /etc/ssh/ssh_config
+
+ENV SAGEMAKER_TRAINING_MODULE sagemaker_tensorflow_container.training:main
+
+CMD ["bin/bash"]