My docker notes:
FROM tensorflow/tensorflow:1.8.0-gpu-py3
# tensorflow 1.5+ needs cuda 9.
# tensorflow 1.4.1 needs cuda 8.
https://github.com/tensorflow/tensorflow/releases/tag/v1.7.0
Deprecations
TensorFlow 1.7 may be the last time we support Cuda versions below 8.0.
Starting with TensorFlow 1.8 release, 8.0 will be the minimum supported version.
TensorFlow 1.7 may be the last time we support cuDNN versions below 6.0.
Starting with TensorFlow 1.8 release, 6.0 will be the minimum supported version.
https://github.com/tensorflow/tensorflow/releases/tag/v1.6.0
Release 1.6.0
Breaking Changes
Prebuilt binaries are now built against CUDA 9.0 and cuDNN 7.
Prebuilt binaries will use AVX instructions. This may break TF on older CPUs.
https://github.com/tensorflow/tensorflow/releases/tag/v1.5.0
Breaking Changes
Prebuilt binaries are now built against CUDA 9 and cuDNN 7.
Starting from 1.6 release, our prebuilt binaries will use AVX instructions.
This may break TF on older CPUs.
https://github.com/tensorflow/tensorflow/releases/tag/v1.4.0
All our prebuilt binaries have been built with CUDA 8 and cuDNN 6.
We anticipate releasing TensorFlow 1.5 with CUDA 9 and cuDNN 7.