The easiest way to run the TensorFlow unit tests is using Bazel, assuming you have downloaded the source from Git: # All tests (for C++ changes). $ bazel test //tensorflow/… # All Python tests (for Python front-end changes). $ bazel test //tensorflow/python/… # All tests (with GPU support). $ bazel test -c opt –config=cuda //tensorflow/… … Read more
There’s a flag for it –cache_test_results=(yes|no|auto) (-t) If this option is set to ‘auto’ (the default) then Bazel will only rerun a test if any of the following conditions applies: Bazel detects changes in the test or its dependencies the test is marked as external multiple test runs were requested with –runs_per_test the test failed. … Read more
bazel clean –expunge sudo xcode-select -s /Applications/Xcode.app/Contents/Developer sudo xcodebuild -license bazel clean –expunge bazel build –config=opt //tensorflow/tools/pip_package:build_pip_package
This is probably what you are looking for: bazel build –subcommands //my:target The –subcommands option causes Bazel’s execution phase to print the full command line for each command prior to executing it.
Unfortunately, some programs can take a long time to compile. A couple of hours of compilation is not strange for tensorflow on your setup. There are reports of it taking 50 minutes on a considerably faster machine A solution to this problem is to use pre-compiled binaries that are available with pip, instructions can be … Read more
Disclaimer: I work on Bazel and I’m not intimately familiar with Gradle. However, one of my coworkers wrote up a comparison of the two systems, which I will paraphrase here: Bazel and Gradle emphasize different aspects of the build experience. To some extent, their priorities are incompatible – Gradle’s desire for flexibility and non-obtrusiveness limits … Read more