Merge pull request Kaggle#711 from Kaggle/cuda-10.1-whl

TF wheels with CUDA 10.1

Author: rosbo

tensorflow-whl/Dockerfile

@@ -1,4 +1,4 @@
-FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
+FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu16.04 AS nvidia
 FROM continuumio/anaconda3:2019.03
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
@@ -15,8 +15,8 @@ COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
 # Ensure the cuda libraries are compatible with the GPU image.
 # TODO(b/120050292): Use templating to keep in sync.
-ENV CUDA_VERSION=10.0.130
-ENV CUDA_PKG_VERSION=10-0=$CUDA_VERSION-1
+ENV CUDA_VERSION=10.1.243
+ENV CUDA_PKG_VERSION=10-1=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
 LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
@@ -28,7 +28,7 @@ ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
 ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
-ENV NVIDIA_REQUIRE_CUDA="cuda>=10.0"
+ENV NVIDIA_REQUIRE_CUDA="cuda>=10.1"
 RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-cupti-$CUDA_PKG_VERSION \
       cuda-cudart-$CUDA_PKG_VERSION \
@@ -38,11 +38,11 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-nvml-dev-$CUDA_PKG_VERSION \
       cuda-minimal-build-$CUDA_PKG_VERSION \
       cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.5.0.56-1+cuda10.0 \
-      libcudnn7-dev=7.5.0.56-1+cuda10.0 \
-      libnccl2=2.4.2-1+cuda10.0 \
-      libnccl-dev=2.4.2-1+cuda10.0 && \
-    ln -s /usr/local/cuda-10.0 /usr/local/cuda && \
+      libcudnn7=7.6.5.32-1+cuda10.1 \
+      libcudnn7-dev=7.6.5.32-1+cuda10.1 \
+      libnccl2=2.5.6-1+cuda10.1 \
+      libnccl-dev=2.5.6-1+cuda10.1 && \
+    ln -s /usr/local/cuda-10.1 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
 # Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
@@ -75,7 +75,7 @@ RUN cd /usr/local/src/tensorflow && \
 
 # Create a tensorflow wheel for GPU/cuda
 ENV TF_NEED_CUDA=1
-ENV TF_CUDA_VERSION=10.0
+ENV TF_CUDA_VERSION=10.1
 # 3.7 is for the K80 and 6.0 is for the P100, 7.5 is for the T4: https://developer.nvidia.com/cuda-gpus
 ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0,7.5
 ENV TF_CUDNN_VERSION=7