environ_save = dict(environ_cp)
    for _ in range(_DEFAULT_PROMPT_ASK_ATTEMPTS):

      if validate_cuda_config(environ_cp):
        cuda_env_names = [
            'TF_CUDA_VERSION',
            'TF_CUBLAS_VERSION',
            'TF_CUDNN_VERSION',
            'TF_TENSORRT_VERSION',
            'TF_NCCL_VERSION',
            'TF_CUDA_PATHS',
            # Items below are for backwards compatibility when not using

    generally improve training performance. Models that do rely on determinism
    should set a random seed explicitly.
*   Replaced the implementation of `tf.flags` with `absl.flags`.
*   Add support for `CUBLAS_TENSOR_OP_MATH` in fp16 GEMM
*   Add support for CUDA on NVIDIA Tegra devices

## Bug Fixes and Other Changes

*   Documentation updates: