posted on: 2020-01-09 11:52:02
Tensorflow moves fast, and part of the upgrade from 1.14 to 2.0 involves upgrading to 1.14. This is a summary of the build instructions that are getting hard to find.

Clone and checkout the latest 1.14. 


git clone https://github.com/tensorflow/tensorflow.git
git checkout r1.14

Then configure the build. For some reason 1.14 picked up my cuda at /usr/local/cuda instead of the one in LD_LIBRARY_PATH. I pointed /usr/local/cuda to /usr/local/cuda-9.1. Everything seemed to get picked up ok then. **CUDA-9.1 DOESN'T WORK with TF 1.14.**

I started building using this command, with bazel 0.25.2. 

    bazel build //tensorflow/tools/pip_package:build_pip_package

The latest instructions suggest using "--config=cuda" and "--config=v1", I didn't use either though.

Finally, building the whl is as simple as running the created command. 

/bazel-bin/tensorflow/tools/pip_package/build_pip_package ../tensorflow_pkg/

That left me with a working tensorflow, although some things have changed from 1.13.0 to 1.13.2 and 1.14.1 in the callbacks. Now training metrics are averaged while an epoch accumulates. So the last batch is probably the same as the epoch values.

Comments

matt
2020-02-19 07:16:53
Also, there are issues in the logging now. tensorflow/python/platform/tf_logging.py needs to be modified as per this github issue. https://github.com/tensorflow/tensorflow/pull/33953
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