// CHECK:  return %[[RES0]] : tensor<1xi64>
}

func.func @atan2(%arg0: tensor<8xf32>, %arg1: tensor<8xf32>) -> tensor<8xf32> {
  %0 = "tf.Atan2"(%arg0, %arg1) : (tensor<8xf32>, tensor<8xf32>) -> tensor<8xf32>
  func.return %0 : tensor<8xf32>

// CHECK-LABEL: atan2
// CHECK: %[[RES0:.*]] = "tfl.atan2"(%arg0, %arg1) : (tensor<8xf32>, tensor<8xf32>) -> tensor<8xf32>

  );

  let results = (outs TFL_TensorOf<[F32, I32]>:$output);
}

def TFL_Atan2Op: TFL_Op<"atan2", [
  Pure,
  SameOperandsAndResultShape,
  SameOperandsAndResultElementType]> {

  let summary = "Atan2 operation";
  let description = [{
    The "atan2" operation computes the arctangent of y/x element-wise,
    respecting signs of the arguments.
  }];

  func.return %0#0 : tensor<? x i32>
}

// CHECK-LABEL: testAtan2
func.func @testAtan2(%arg0: tensor<?xf32>, %arg1: tensor<?xf32>) -> tensor<?xf32> {
  // CHECK: "tfl.atan2"(%arg0, %arg1)
  %0 = "tfl.atan2"(%arg0, %arg1): (tensor<?xf32>, tensor<?xf32>) -> tensor<?xf32>
  func.return %0 : tensor<?xf32>
}

// -----

// CHECK-LABEL: testConv2D

INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(AcoshOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(AsinOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(AsinhOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(AtanOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(AtanhOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(BesselI0eOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(BesselI1eOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(CeilOp);

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>
In a function call, the function value and arguments are evaluated in