This is a collection of e2e tests that, in various fashion saves a TensorFlow model, compiles it with IREE and runs/evaluates it on all backends.
You will need a TensorFlow 2.0+ nightly installed in your python environment: the python binary in $PYTHON_BIN should be able to import tensorflow and that TensorFlow should be version 2.0+. This can be checked with tensorflow.version.
See Install TensorFlow with pip for instructions.
By default, tests run on TensorFlow and the IREE CPU interpreter, as it never needs additional environment setup. If you have your environment setup to use IREE with Vulkan (see the doc), then you can enable the backends by setting the environment variable IREE_TEST_BACKENDS=tf,iree_interpreter,iree_vulkan.
You can also pass this as a command line argument when running individual tests: --target_backends=tf,iree_interpreter,iree_vulkan.
# Run all tests with defaults and output on failure. bazel test ... --test_output=errors # Run an individual test interactively. bazel test simple_arithmetic_test --test_output=streamed # Run tests with an altered list of backends. bazel test ... --test_env=IREE_TEST_BACKENDS=tf,iree_interpreter,iree_vulkan \ --test_output=errors
See simple_arithmetic_test.py for some examples of writing a test case that runs on multiple backends.