if (!delete_status.ok()) {
      TF_SetStatusFromGCSStatus(delete_status, status);
      return;
    }
    // We truncate the data that are already uploaded.
    if (!outfile->truncate()) {
      TF_SetStatus(status, TF_INTERNAL,
                   "Could not truncate internal temporary file.");
      return;
    }
    *offset = static_cast<int64_t>(metadata->size());
    TF_SetStatus(status, TF_OK, "");

        Existing usage with single inputs should still work as before.
*   `tf.linalg`
    *   Add `tf.linalg.banded_triangular_solve`.
*   `tf.random`:
    *   Add `tf.random.stateless_parameterized_truncated_normal`.
*   `tf.ragged`:
    *   Add `tf.ragged.cross` and `tf.ragged.cross_hashed` operations.
*   `tf.RaggedTensor`:
    *   `RaggedTensor.to_tensor()` now preserves static shape.

          f'{url}\n\n')
      failure_msg += (
          f'Here\'s a fragment of the log containing the failure:\n\n'
          f'[ ... TRUNCATED ... ]\n\n'
          f'{invocation_results["log_fragment"]}\n'
          f'\n[ ... TRUNCATED ... ]\n'
      )
      failure = ElemTree.SubElement(
          testcase, elem_name,
          message=f'Bazel invocation {invocation_id} failed.')