"Creating while loops is not supported on mobile. File a bug at "
      "https://github.com/tensorflow/tensorflow/issues if this feature is "
      "important to you");
#else
  // If it appears the caller created or modified `params`, don't free resources
  if (!ValidateConstWhileParams(*params, status)) return;
  TF_FinishWhileHelper(params, status, outputs);
  FreeWhileResources(params);

After they are evaluated, the parameters of the call are passed by value to the function
and the called function begins execution.
The return parameters of the function are passed by value
back to the caller when the function returns.
</p>

<p>
Calling a <code>nil</code> function value
causes a <a href="#Run_time_panics">run-time panic</a>.
</p>

<p>

      .assertSentRequestAtMillis(request1SentAt, request1ReceivedAt)
      .assertReceivedResponseAtMillis(request1SentAt, request1ReceivedAt)

    // Check the network response. It has the caller's request, plus some caching headers.
    cacheHit.networkResponse()
      .assertCode(304)
      .assertHeader("Donut", "b")
      .assertRequestHeader("Accept-Language", "en-US")

    volatile int count;

    /** The weight of the live elements in this segment's region. */
    @GuardedBy("this")
    long totalWeight;

    /**
     * Number of updates that alter the size of the table. This is used during bulk-read methods to
     * make sure they see a consistent snapshot: If modCounts change during a traversal of segments

    volatile int count;

    /** The weight of the live elements in this segment's region. */
    @GuardedBy("this")
    long totalWeight;

    /**
     * Number of updates that alter the size of the table. This is used during bulk-read methods to
     * make sure they see a consistent snapshot: If modCounts change during a traversal of segments