Add instructions for debugging TF integration test failures. (#8481)

docs/developers/debugging/tf_integrations_test_repro.md

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+# 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
+```
+