you want to debug a kernel, you can compile specific files with `-g` using the
`--per_file_copt` bazel option. For example, if you want to debug the Identity
op, which are in files starting with `identity_op`, you can run

```bash
bazel build --config=dbg --per_file_copt=+tensorflow/core/kernels/identity_op.*@-g //tensorflow/tools/pip_package:build_pip_package
```

        functions.

## Deprecations

*   TensorFlow 1.7 may be the last time we support Cuda versions below 8.0.
    Starting with TensorFlow 1.8 release, 8.0 will be the minimum supported
    version.
*   TensorFlow 1.7 may be the last time we support cuDNN versions below 6.0.
    Starting with TensorFlow 1.8 release, 6.0 will be the minimum supported
    version.

## Thanks to our Contributors

    write_action_env_to_bazelrc('HIP_PLATFORM', environ_cp.get('HIP_PLATFORM'))

  if is_windows():
    print('\nWARNING: Cannot build with CUDA support on Windows.\n'
          'Starting in TF 2.11, CUDA build is not supported for Windows. '
          'For using TensorFlow GPU on Windows, you will need to build/install '
          'TensorFlow in WSL2.\n')
    environ_cp['TF_NEED_CUDA'] = '0'
  else: