options.arguments_are_tupled = false;
  options.untuple_result = true;
  // Hardcode run id to always be one: TF distributed strategy
  // differentiates between subsequent runs using dependency edges. This
  // is safe, as only TF dist-strat can produce distributed ops, and we
  // can rely on TF dist-strat invariants.
  options.launch_id = 1;
  // TODO(b/293186653): investigate we should turn on strict shape checking for

                             done);
      }

      // Hardcode run id to always be zero: TF distributed strategy
      // differentiates between subsequent runs using dependency edges. This
      // is safe, as only TF dist-strat can produce distributed ops, and we
      // can rely on TF dist-strat invariants.
      xla::RunId run_id(0);
      run_options.set_run_id(run_id);

</p>

<p>
Values printed in italics have a dependency cycle.
</p>

<p>
<b>CFG</b>: Dashed edge is for unlikely branches. Blue color is for backward edges.
Edge with a dot means that this edge follows the order in which blocks were laidout.
</p>

</div>
<label for="dark-mode-button" style="margin-left: 15px; cursor: pointer;">darkmode</label>

    const XlaShapeLayoutHelpers::ShapeDeterminationFns shape_determination_fns,
    XlaCompilationResult* compilation_result) {
  // Construct mapping from XlaComputation's arg to input edges of execute
  // node.
  GetInputMappingForMlir(arg_shapes.size(), &compilation_result->input_mapping);

  // Compute all input shapes.
  TF_RETURN_IF_ERROR(GetXlaInputShapes(module_op, arg_shapes, use_tuple_args,

would never access <code>*p</code> or <code>*q</code>, but the rewritten program would.
And if the call contained synchronizing operations, then the original program
could establish happens before edges preceding the accesses
to <code>*p</code> and <code>*q</code>, but the rewritten program would not.
</p>

<p>
Not allowing a single read to observe multiple values means

			runtime.RaceDisable()
			wg.Done()
		}()
	}
	close(ready)
	wg.Wait()

	// Make sure race detector still works. If the runtime.RaceDisable state
	// leaks, the happens-before edges here will be ignored and a race on x will
	// be reported.
	var x int
	ch := make(chan struct{}, 0)
	wg.Add(2)
	go func() {
		x = 1
		ch <- struct{}{}
		wg.Done()
	}()
	go func() {

					// corpus and prioritize it for future fuzzing.
					// TODO(jayconrod, katiehockman): Prioritize fuzzing these
					// values which expanded coverage, perhaps based on the
					// number of new edges that this result expanded.
					// TODO(jayconrod, katiehockman): Don't write a value that's already
					// in the corpus.
					if c.canMinimize() && result.canMinimize && c.crashMinimizing == nil {

	}

	// quantErrorCurr and quantErrorNext are the Floyd-Steinberg quantization
	// errors that have been propagated to the pixels in the current and next
	// rows. The +2 simplifies calculation near the edges.
	var quantErrorCurr, quantErrorNext [][4]int32
	if floydSteinberg {
		quantErrorCurr = make([][4]int32, r.Dx()+2)
		quantErrorNext = make([][4]int32, r.Dx()+2)
	}

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