print('WARNING: XLA does not support CUDA compute capabilities '
                'lower than 3.5. Disable XLA when running on older GPUs.')

    if all_valid:
      break

    # Reset and Retry
    environ_cp['TF_CUDA_COMPUTE_CAPABILITIES'] = ''

  # Set TF_CUDA_COMPUTE_CAPABILITIES
  environ_cp['TF_CUDA_COMPUTE_CAPABILITIES'] = tf_cuda_compute_capabilities
  write_action_env_to_bazelrc(

	oi := objInfo.Clone()
	oi.metadataOnly = true // Perform only metadata updates.

	// allow retry in the case of failure to restore
	delete(oi.UserDefined, xhttp.AmzRestore)

	if _, err := er.CopyObject(ctx, bucket, object, bucket, object, oi, ObjectOptions{
		VersionID: oi.VersionID,
	}, ObjectOptions{

     * make sure they see a consistent snapshot: If modCounts change during a traversal of segments
     * computing size or checking containsValue, then we might have an inconsistent view of state so
     * (usually) must retry.
     */
    int modCount;

    /**
     * The table is expanded when its size exceeds this threshold. (The value of this field is
     * always {@code (int) (capacity * 0.75)}.)
     */

    val snapshot = cache["b"]!!
    snapshot.close()
    assertThat(cache.edit("d")).isNull()
    assertThat(taskFaker.isIdle()).isFalse()

    // On cache misses, no retry job is queued.
    assertThat(cache["c"]).isNull()
    assertThat(taskFaker.isIdle()).isFalse()

    // Let the rebuild complete successfully.