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Use TensorFlow 2.3.1 wheel #886

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Merged
rosbo merged 1 commit into from
Oct 14, 2020
Merged

Use TensorFlow 2.3.1 wheel #886

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2 changes: 1 addition & 1 deletion Dockerfile
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
# b/157908450 set to latest once numba 0.49.x fixes performance regression for datashader.
ARG BASE_TAG=m46
ARG TENSORFLOW_VERSION=2.3.0
ARG TENSORFLOW_VERSION=2.3.1

FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
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8 changes: 4 additions & 4 deletions gpu.Dockerfile
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@@ -1,7 +1,7 @@
ARG BASE_TAG=staging

FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04 AS nvidia
FROM gcr.io/kaggle-images/python-tensorflow-whl:2.3.0-py37 as tensorflow_whl
FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 AS nvidia
FROM gcr.io/kaggle-images/python-tensorflow-whl:2.3.1-py37 as tensorflow_whl
FROM gcr.io/kaggle-images/python:${BASE_TAG}

ADD clean-layer.sh /tmp/clean-layer.sh
Expand All @@ -16,8 +16,8 @@ RUN sed -i 's/deb https:\/\/developer.download.nvidia.com/deb http:\/\/developer
# Ensure the cuda libraries are compatible with the custom Tensorflow wheels.
# TODO(b/120050292): Use templating to keep in sync or COPY installed binaries from it.
ENV CUDA_MAJOR_VERSION=10
ENV CUDA_MINOR_VERSION=1
ENV CUDA_PATCH_VERSION=243
ENV CUDA_MINOR_VERSION=2
ENV CUDA_PATCH_VERSION=89
ENV CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION.$CUDA_PATCH_VERSION
ENV CUDA_PKG_VERSION=$CUDA_MAJOR_VERSION-$CUDA_MINOR_VERSION=$CUDA_VERSION-1
LABEL com.nvidia.volumes.needed="nvidia_driver"
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