The `tensorflow` pip package has a new, optional installation method for Linux that installs necessary Nvidia CUDA libraries through pip. As long as the Nvidia driver is already installed on the system, you may now run `pip install tensorflow[and-cuda]` to install TensorFlow's Nvidia CUDA library dependencies in the Python environment. Aside from the Nvidia driver, no other pre-existing Nvidia CUDA packages are necessary.

*   Enable JIT-compiled i64-indexed kernels on GPU for large tensors...

  side.
  On CPU, solution is computed via Gaussian elimination with or without partial
  pivoting, depending on `partial_pivoting` attribute. On GPU, Nvidia's cuSPARSE
  library is used: https://docs.nvidia.com/cuda/cusparse/index.html#gtsv
  Partial pivoting is not yet supported by XLA backends.
  }];

  let arguments = (ins