// CHECK:      "tf.Equal"(%arg0, %arg1)
  // CHECK-SAME:   incompatible_shape_error = true
  // CHECK-SAME:   device = "/job:localhost/replica:0/task:0/device:GPU:0"
  %0 = "tf.Equal"(%arg0, %arg1) {incompatible_shape_error = false, device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<2xi32>, tensor<2xi32>) -> tensor<2xi1>
  func.return %0: tensor<2xi1>
}

}

// -----

// CHECK-LABEL: @is_finite
func.func @is_finite(%arg0: tensor<2xf32>) -> tensor<2xi1> {
  // CHECK:  mhlo.is_finite %arg0 : (tensor<2xf32>) -> tensor<2xi1>
  %0 = "tf.IsFinite"(%arg0) : (tensor<2xf32>) -> tensor<2xi1>
  func.return %0 : tensor<2xi1>
}

// -----

// CHECK-LABEL: func @is_finite_dynamic

  %cst = arith.constant dense<[false, true]> : tensor<2xi1>
  %0 = "tfl.select"(%cst, %arg0, %arg1) : (tensor<2xi1>, tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32>
  %1 = "tfl.select_v2"(%cst, %arg0, %arg1) : (tensor<2xi1>, tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32>
  func.return %0, %1 : tensor<2xf32>, tensor<2xf32>
  // CHECK: %0 = "tfl.select"(%cst, %arg0, %arg1) : (tensor<2xi1>, tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32>

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  func.return %0: tensor<2x8x8xi32>
}

// -----

func.func @invalidSelect(%arg0: tensor<2xi1>, %arg1: tensor<i32>, %arg2: tensor<i32>) -> tensor<2xi32> {
  // expected-error @+1 {{requires that t and e are nonscalar when pred is a vector}}
  %0 = "tf.Select"(%arg0, %arg1, %arg2) : (tensor<2xi1>, tensor<i32>, tensor<i32>) -> tensor<2xi32>
  func.return %0: tensor<2xi32>
}

// -----

  %14 = "tf.Sub"(%12, %13) {device = ""} : (tensor<2xi64>, tensor<2xi64>) -> tensor<2xi64>
  %15 = "tf.LessEqual"(%4, %14) {device = ""} : (tensor<i64>, tensor<2xi64>) -> tensor<2xi1>
  %16 = "tf.All"(%15, %7) {device = "", keep_dims = false} : (tensor<2xi1>, tensor<1xi32>) -> tensor<i1>

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