}

func.func @real(%arg0: tensor<1 x complex<f64>>) -> tensor<1xf64> {
  %0 = "tf.Real"(%arg0) : (tensor<1 x complex<f64>>) -> tensor<1xf64>
  func.return %0: tensor<1xf64>

// CHECK-LABEL: real
// CHECK:  "tfl.real"(%arg0) : (tensor<1xcomplex<f64>>) -> tensor<1xf64>
// CHECK:  return
}

func.func @imag(%arg0: tensor<1 x complex<f64>>) -> tensor<1xf64> {

func.return %0 : tensor<2x?x2x4xf32>

// CHECK-LABEL:     convert_dot_general_dynamic_batch_dim
// CHECK:           %0 = "tfl.pseudo_const"() <{value = dense<[0, 1, 3, 2]> : tensor<4xi64>}> : () -> tensor<4xi64>
// CHECK-NEXT:      %1 = "tfl.cast"(%0) : (tensor<4xi64>) -> tensor<4xi32>
// CHECK-NEXT:      %2 = "tfl.transpose"(%arg1, %1) : (tensor<2x?x4x3xf32>, tensor<4xi32>) -> tensor<2x?x3x4xf32>

  // CHECK-NEXT:   mhlo.return %[[CMP]]
  // CHECK-NEXT: }) : (tensor<8xf64>) -> tensor<8xf64>
  // CHECK-NEXT: return %[[SORT]]
  %output = "tf.XlaSort"(%input) : (tensor<8xf64>) -> (tensor<8xf64>)
  func.return %output : tensor<8xf64>
}

// -----

// CHECK-LABEL: @xlasort_const
func.func @xlasort_const() -> (tensor<2x3xi64>) {

func.func @testMaximumOfZeroToReluInt64OnGpu(%arg0: tensor<4xi64>) -> tensor<4xi64> {
  // CHECK: %[[RESULT:.*]] = "tf.Relu"(%arg0) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<4xi64>) -> tensor<4xi64>
  // CHECK: return %[[RESULT]]
  %cst_0 = arith.constant dense<0> : tensor<i64>
  %0 = "tf.Maximum"(%arg0, %cst_0) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<4xi64>, tensor<i64>) -> tensor<4xi64>

  %begin0 = arith.constant dense<0> : tensor<4xi64>
  %shape0 = arith.constant dense<[2,3,4,4]> : tensor<4xi64>
  %begin1 = arith.constant dense<1> : tensor<4xi64>
  %shape1 = arith.constant dense<[1,2,3,4]> : tensor<4xi64>
  %0 = "tfl.slice"(%arg0, %begin0, %shape0) : (tensor<2x3x4x5xf32>, tensor<4xi64>, tensor<4xi64>) -> tensor<2x3x4x4xf32>

  func.return %0 : tensor<3xf32>
}

// -----

// CHECK-LABEL: testReal
func.func @testReal(%arg0: tensor<? x complex<f64>>) -> tensor<?xf64> {
  // CHECK: "tfl.real"(%arg0)
  %0 = "tfl.real"(%arg0): (tensor<? x complex<f64>>) -> tensor<?xf64>
  func.return %0 : tensor<?xf64>
}

// -----

func.func @testRealWrongShape(%arg0: tensor<3 x complex<f64>>) -> tensor<4xf32> {

  %2 = "tf.Sgnn"(%1, %0) {device = ""} : (tensor<?xi64>, tensor<10x1xi64>) -> tensor<10x?xf64>
  %3 = "tf.Const"() {value = dense<[-1, 10]> : tensor<2xi64>} : () -> tensor<2xi64>
  %4 = "tf.Reshape"(%2, %3) : (tensor<10x?xf64>, tensor<2xi64>) -> tensor<?x10xf64>
  func.return %4 : tensor<?x10xf64>
}