*it++ = meet;
  }
  if (!changed) return false;

  FailureOr<bool> res = PropagateShapeToFunctions(
      op->getParentOfType<ModuleOp>(), input_types, {f}, max_iterations);
  if (failed(res)) {
    op->emitOpError("propagating shapes failed");
    return false;
  }
  return *res;
}

bool ShapeInference::InferShapeForMapDataset(MapDatasetOp op,

				}
			}
		}(ctx, i)
	}
	for res := range objInfoCh {
		if res.Err != nil {
			resyncStatus = ResyncFailed
			replLogIf(ctx, res.Err)
			return
		}
		select {
		case <-s.resyncCancelCh:
			resyncStatus = ResyncCanceled
			return
		case <-ctx.Done():
			return
		default:
		}
		if heal && lastCheckpoint != "" && lastCheckpoint != res.Item.Name {
			continue
		}

	// That's why NewMultipartUpload is initiated using ObjectLayer.
	res, err := obj.NewMultipartUpload(context.Background(), bucketName, testObject, opts)
	if err != nil {
		// Failed to create NewMultipartUpload, abort.
		t.Fatalf("MinIO %s : <ERROR>  %s", instanceType, err)
	}
	uploadID := res.UploadID

	a := 0
	b := globalMinPartSize
	var parts []CompletePart

	newPod.Spec.NodeName = "machine2"
	res, _, err := registry.Update(ctx, podName, rest.DefaultUpdatedObjectInfo(newPod), rest.ValidateAllObjectFunc, rest.ValidateAllObjectUpdateFunc, false, &metav1.UpdateOptions{})
	if err != nil {
		t.Fatal(err)
	}

	// the update should have succeeded
	r, ok := res.(*example.Pod)
	if !ok {
		t.Fatalf("unexpected update result: %#v", res)
	}
	if r.Spec.NodeName != "machine2" {

  local -r res=$?
  echo "Removing etcd replica, name: ${REPLICA_NAME}, port: ${port}, result: ${res}"
  return "${res}"
}

# Delete a kubernetes cluster. This is called from test-teardown.
#
# Assumed vars:
#   MASTER_NAME
#   NODE_INSTANCE_PREFIX

              %add1 = "tf.Add"(%arg0, %arg1) : (tensor<*xi32>, tensor<i32>) -> tensor<*xi32>
              %add2 = "tf.Add"(%add1, %arg1) : (tensor<*xi32>, tensor<i32>) -> tensor<*xi32>
              %res = "tf.Print"(%add2) { message = "add result" } : (tensor<*xi32>) -> (tensor<*xi32>)
              tf_executor.yield %add1, %add2 : tensor<*xi32>, tensor<*xi32>
            }