setup & docker: update framework and fix compile

docker/Dockerfile

@@ -0,0 +1,57 @@
+FROM nvidia/cuda:10.0-devel-ubuntu18.04
+
+ARG https_proxy
+ARG http_proxy
+
+ARG BYTEPS_BASE_PATH=/usr/local
+ARG BYTEPS_PATH=$BYTEPS_BASE_PATH/byteps
+ARG BYTEPS_GIT_LINK=https://github.com/bytedance/byteps
+ARG BYTEPS_BRANCH=master
+
+ARG DEBIAN_FRONTEND=noninteractive
+RUN apt-get update 
+RUN apt-get install -y --allow-downgrades --allow-change-held-packages --no-install-recommends \
+        build-essential \
+        tzdata \
+        ca-certificates \
+        git \
+        curl \
+        wget \
+        vim \
+        cmake \
+        lsb-release \
+        libcudnn7=7.6.0.64-1+cuda10.0 \
+        libnuma-dev \
+        ibverbs-providers \
+        librdmacm-dev \
+        ibverbs-utils \
+        rdmacm-utils \
+        libibverbs-dev \
+        python3 \
+        python3-dev \
+        python3-pip \
+        python3-setuptools \
+        libnccl2=2.4.7-1+cuda10.0 \
+        libnccl-dev=2.4.7-1+cuda10.0
+
+# install framework
+# note: for tf <= 1.14, you need gcc-4.9
+ARG FRAMEWORK=tensorflow
+RUN if [ "$FRAMEWORK" = "tensorflow" ]; then \
+        pip3 install --upgrade pip; \
+        pip3 install -U tensorflow-gpu==1.15.0; \
+    elif [ "$FRAMEWORK" = "pytorch" ]; then \
+        pip3 install -U numpy==1.18.1 torchvision==0.5.0 torch==1.4.0; \
+    elif [ "$FRAMEWORK" = "mxnet" ]; then \
+        pip3 install -U mxnet-cu100==1.5.0; \
+    else \
+        echo "unknown framework: $FRAMEWORK"; \
+        exit 1; \
+    fi
+
+ENV LD_LIBRARY_PATH /usr/local/cuda/lib64/stubs:$LD_LIBRARY_PATH
+
+RUN cd $BYTEPS_BASE_PATH &&\
+    git clone --recursive -b $BYTEPS_BRANCH $BYTEPS_GIT_LINK &&\
+    cd $BYTEPS_PATH &&\
+    python3 setup.py install