How  to build the tensorflow origin code fast when I modify the code
@YuMJie,
While WHL files offer faster installation, building from source gives the direct access to the code. If you choose this way, consider using a tool like Bazel which streamlines the build process for large projects like TensorFlow.

Also try to create a virtual environment to isolate your development dependencies and avoid conflicts with other projects. This allows you to quickly switch between different TensorFlow versions or experiment with custom libraries.
 
If you build the tensorflow from source, you can modify TensorFlow's behavior for specific use cases, Integrate the TensorFlow with custom libraries or frameworks and You can step through the code line by line using a debugger to identify the root cause of problems. Thank you! This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
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### Issue type

Build/Install

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

Yes

### Source

source

### TensorFlow version

2.16.1

### Custom code

Yes

### OS platform and distribution

Linux ubuntu 20.04

### Mobile device

_No response_

### Python version

3.9

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

I want to learn how TensorFlow is implemented and participate in the development of TensorFlow, but as far as I know, if you install it in the form of WHL through Build, you will spend a lot of time on Build, and there is any way to modify its code faster and verify that the modified code works

### Standalone code to reproduce the issue

```shell
./configure  # answer prompts or use defaults

bazel build --config=opt --config=cuda //tensorflow/tools/pip_package:build_pip_package

./bazel-bin/tensorflow/tools/pip_package/build_pip_package /mnt  # create package

chown $HOST_PERMS /mnt/tensorflow-version-tags.whl
```


### Relevant log output

_No response_