What is the reason sanitizer configs are regarded as outdated? 
These were never used in OSS for TF, TF actually does not built with santizers. So it was a clean-up effort, to only have a bazelrc with the minimal required contents. @junwha0511 ,

Actually these sanitizer configurations added in tensorflow .bazelrc to support tflite-micro.
Now  tflite-micro has its own version of .bazelrc  they are no longer needed in tensorflow .bazelrc. 

As confirmed in above [comment](https://github.com/tensorflow/tensorflow/issues/61455#issuecomment-1662670200) these configs are not used by TF's CI jobs hence the cleanup is happening.

Thanks!
 Thank you for the fast and kind explanation!:) Are you satisfied with the resolution of your issue?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61455">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61455">No</a>

### Issue type

Support

### Have you reproduced the bug with TensorFlow Nightly?

No

### Source

source

### TensorFlow version

mater (7a721887ec4616bd3347815f3ce873a0ab14ea37)

### Custom code

No

### OS platform and distribution

Linux Ubuntu 22.04

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

I tried to build tensorflow with config asan, but I found that it was removed at 7a721887ec4616bd3347815f3ce873a0ab14ea37, by @kanglant 

So, I'm curious why these sanitizer flags were regarded as outdated.

Did the community decide to stop supporting sanitizers for tensorflow?
or just because it is not working now? 

Thank you:)

### Standalone code to reproduce the issue

```shell
bazel build --config=asan //tensorflow/tools/pip_package:build_pip_package --jobs `nproc`
```


### Relevant log output

_No response_