| # Debugging failures in TF/TFLite integration tests. |
| |
| These are steps to reproduce/address failures in TF/TFLite integration tests. All steps here |
| assume starting from the IREE root directory. |
| |
| 1. First setup the python environment as described [here](https://google.github.io/iree/building-from-source/python-bindings-and-importers/#environment-setup). |
| |
| ``` |
| python -m iree.venv |
| source iree.venv/bin/activate |
| ``` |
| |
| 2. Install latest IREE release binaries. The importers are not expected to change much, so using the release binaries should work for most cases |
| |
| ``` |
| python -m pip install iree-compiler iree-runtime iree-tools-tf iree-tools-tflite -f https://github.com/google/iree/releases/latest |
| ``` |
| |
| 3. Install TF nightly |
| |
| ``` |
| python -m pip install tf-nightly Pillow |
| ``` |
| |
| 4. Run the python test command line (this can be obtained from the log of the failing test). For example, |
| |
| ``` |
| cd integrations/tensorflow/test/python |
| python -m iree_tfl_tests.posenet_i8_test -- target_backend=llvmaot -artifacts_dir=/tmp/posenet_i8_failure |
| ``` |
| |
| 5. This will create an `iree_input.mlir` in the temp directory specified. Those can then be fed into `iree-translate` (built locally to reproduce the error) |
| |
| ``` |
| iree-translate -iree-mlir-to-vm-bytecode-module -iree-hal-target-backends=dylib-llvm-aot -iree-input-type=mhlo iree_input.mlir |
| ``` |
| |
