// CHECK-DAG.       %cst = arith.constant dense<[4]> : tensor<1xi64>
// CHECK:           %[[VAL_2:.*]] = "tf.Atan2"(%[[VAL_0]], %[[VAL_1]]) : (tensor<1xf32>, tensor<4xf32>) -> tensor<4xf32>
// CHECK:           %[[VAL_3:.*]] = "tf.Atan2"(%[[VAL_1]], %[[VAL_0]]) : (tensor<4xf32>, tensor<1xf32>) -> tensor<4xf32>
// CHECK:           return %[[VAL_2]], %[[VAL_3]] : tensor<4xf32>, tensor<4xf32>

func.func @angle_c64(%arg0: tensor<complex<f32>>) -> tensor<f32> {
// CHECK: [[IMAG:%.*]] = mhlo.imag [[ARG0]]
// CHECK: [[REAL:%.*]] = mhlo.real [[ARG0]]
// CHECK: [[ATAN2:%.*]] = mhlo.atan2 [[IMAG]], [[REAL]]
  %0 = "tf.Angle"(%arg0): (tensor<complex<f32>>) -> tensor<f32>
  func.return %0 : tensor<f32>
}

//===----------------------------------------------------------------------===//

of <code>F</code>.
A method invocation is similar but the method itself
is specified as a selector upon a value of the receiver type for
the method.
</p>

<pre>
math.Atan2(x, y)  // function call
var pt *Point
pt.Scale(3.5)     // method call with receiver pt
</pre>

<p>
If <code>f</code> denotes a generic function, it must be