// to functions).
bool IsAlreadyOutlined(WhileOp while_op) {
  auto just_call = [](Region& region) {
    auto it = region.front().begin();
    if (!isa<func::CallOp>(*it)) return false;
    ++it;
    if (!isa<YieldOp>(*it)) return false;
    return true;
  };
  return just_call(while_op.getBody()) && just_call(while_op.getCond());
}

bool IsCompatibleTypeWithTFLCastOp(Type type) {
  auto elemType = getElementTypeOrSelf(type);

  llvm::SmallVector<Value, 8> replica_inputs(island_op.getControlInputs());

  // Replace replicate terminator with YieldOp.
  builder.setInsertionPoint(&terminator);
  builder.create<tf_executor::YieldOp>(terminator.getLoc(),
                                       terminator.getOperands());
  terminator.erase();

  builder.setInsertionPoint(island_op);
  IRMapping mapping;

 *       byte sequences under the covers.
 *   <li><b>hash code:</b> each hash function always yields hash codes of the same fixed bit length
 *       (given by {@link #bits}). For example, {@link Hashing#sha1} produces a 160-bit number,
 *       while {@link Hashing#murmur3_32()} yields only 32 bits. Because a {@code long} value is
 *       clearly insufficient to hold all hash code values, this API represents a hash code as an

 *       byte sequences under the covers.
 *   <li><b>hash code:</b> each hash function always yields hash codes of the same fixed bit length
 *       (given by {@link #bits}). For example, {@link Hashing#sha1} produces a 160-bit number,
 *       while {@link Hashing#murmur3_32()} yields only 32 bits. Because a {@code long} value is
 *       clearly insufficient to hold all hash code values, this API represents a hash code as an

// the call arguments, and terminate the region with a yield. The arguments are
// cast to the required type before the call. `use_region_args` control whether
// the input arguments are used as is (for IfOp) or block arguments of the same
// type as the input arguments are created and then used as call arguments (for
// While).
YieldOp CreateCall(Operation* op, func::FuncOp func, Region& caller_region,

	// at this moment, and if not, yield. This is to catch other CNIs which might have mutated the file between
	// the (theoretical) window after we initially install/write, but before we actually start the filewatch.
	if err := checkValidCNIConfig(in.cfg, in.cniConfigFilepath); err != nil {
		return nil
	}

	// If a file we are watching has a change event, yield and let caller check validity
	select {

    Block &GetBody() { return getOperation()->getRegion(0).front(); }
    YieldOp GetYield();
    bool WrapsSingleOp();
  }];

  let hasCanonicalizer = 1;

  let hasFolder = 1;
}

def TfExecutor_YieldOp : TfExecutor_Op<"yield",
    [Terminator, ControlOperandsAfterAllData, HasParent<"IslandOp">]> {
  let summary = [{
    The `tf_executor.yield` operation terminates and returns values for the

 * Runs a [TaskRunner] in a controlled environment so that everything is sequential and
 * deterministic.
 *
 * This class ensures that at most one thread is running at a time. This is initially the JUnit test
 * thread, which yields its execution privilege while calling [runTasks], [runNextTask], or
 * [advanceUntil]. These functions don't return until the task threads are all idle.
 *
 * Task threads release their execution privilege in these ways:
 *

  %0:2 = tf_executor.graph {
    %1:2 = tf_executor.island {
      tf_executor.yield %arg1 : tensor<i1>
    }
    %2:2 = tf_executor.island {
      tf_executor.yield %arg0 : tensor<i1>
    }
    %3:2 = tf_executor.island {
      tf_executor.yield %1#0 : tensor<i1>
    }
    %4:2 = tf_executor.island {
      tf_executor.yield %2#0 : tensor<i1>
    }

  tf_executor.graph {
    %0 = tf_executor.island {
      tf_executor.yield
    }
    %1 = tf_executor.island(%0) {
      %3 = "tf.opA"() : () -> tensor<i1>
      tf_executor.yield
    }
    %2 = tf_executor.island(%0, %1) {
      %4 = "tf.opB"() : () -> tensor<i1>
      tf_executor.yield
    }
    tf_executor.fetch
  }
  func.return
}