add OPenBlas

Author: hephaex

vendor/ngc-pytorch/Dockerfile.20.12-py3

@@ -1,5 +1,5 @@
 FROM nvcr.io/nvidia/pytorch:20.12-py3
-# NVIDIA PyTorch with Python 3.6 (CONDA)
+# NVIDIA PyTorch with Python 3.8 (CONDA)
 
 
 
@@ -80,7 +80,7 @@ RUN ln -s /usr/include/libv4l1-videodev.h /usr/include/linux/videodev.h && \
     rm -rf /var/lib/apt/lists/
 
 WORKDIR /tmp
-ENV OPENCV_VERSION="4.5.0"
+ENV OPENCV_VERSION="4.5.1"
 RUN wget https://github.com/opencv/opencv/archive/${OPENCV_VERSION}.zip && \
     wget -O opencv-contrib.zip https://github.com/opencv/opencv_contrib/archive/${OPENCV_VERSION}.zip && \
     unzip ${OPENCV_VERSION}.zip && \
@@ -105,7 +105,7 @@ RUN wget https://github.com/opencv/opencv/archive/${OPENCV_VERSION}.zip && \
       -D WITH_V4L=ON \
       -D BUILD_TESTS=OFF \
       -D BUILD_PERF_TESTS=OFF \
-      -D OPENCV_EXTRA_MODULES_PATH="../../opencv_contrib-4.5.0/modules" \
+      -D OPENCV_EXTRA_MODULES_PATH="../../opencv_contrib-4.5.1/modules" \
       -D CMAKE_BUILD_TYPE=RELEASE \
       -D CMAKE_INSTALL_PREFIX=$(python3 -c "import sys; print(sys.prefix)") \
       -D PYTHON_EXECUTABLE=$(which python3) \
@@ -126,6 +126,10 @@ RUN curl -sL https://deb.nodesource.com/setup_10.x | bash - && \
     apt-get install -y nodejs
 
 WORKDIR /tmp
+RUN git clone -q --branch=master git://github.com/xianyi/OpenBLAS.git && \
+    cd OpenBLAS && \
+    make DYNAMIC_ARCH=1 NO_AFFINITY=1 NUM_THREADS=48 FC=gfortran && \
+    make install
 RUN git clone --recursive https://github.com/bodono/scs-python.git  && \
     cd /tmp/scs-python && \
     python setup.py install --scs --gpu
@@ -247,7 +251,7 @@ LABEL ai.backend.kernelspec="1" \
       ai.backend.base-distro="ubuntu16.04" \
       ai.backend.runtime-type="python" \
       ai.backend.runtime-path="/opt/conda/bin/python3" \
-      ai.backend.service-ports="ipython:pty:3000,jupyter:http:8091,jupyterlab:http:8090,vscode:http:8180,tensorboard:http:6006,mlflow-ui:http:5000,nniboard:http:8080"
+      ai.backend.service-ports="ipython:pty:3000,jupyter:http:8091,jupyterlab:http:8090,vscode:http:8180,tensorboard:http:6006,mlflow-ui:preopen:5000,nniboard:preopen:8080"
 
 WORKDIR /home/work
 # vim: ft=dockerfile