func.func @testSelectV2WithWrongBroadcastableArguments(%cond : tensor<3x4xi1>, %arg0 : tensor<2x3x4xf32>, %arg1 : tensor<4x3xf32>) -> tensor<2x3x4xf32> {
  // expected-error @+1 {{'tfl.select_v2' op operands don't have broadcast-compatible shapes}}
  %0 = "tfl.select_v2"(%cond, %arg0, %arg1): (tensor<3x4xi1>, tensor<2x3x4xf32>, tensor<4x3xf32>) -> tensor<2x3x4xf32>
  func.return %0 : tensor<2x3x4xf32>
}

// -----

// CHECK-LABEL: topk

// CHECK:  return
}

func.func @select_v2_broadcast(%arg0: tensor<4xi1>, %arg1: tensor<3x4xf32>, %arg2: tensor<8x3x4xf32>) -> tensor<8x3x4xf32> {
  %0 = "tf.SelectV2"(%arg0, %arg1, %arg2) : (tensor<4xi1>, tensor<3x4xf32>, tensor<8x3x4xf32>) -> tensor<8x3x4xf32>
  func.return %0: tensor<8x3x4xf32>

// CHECK-LABEL: select_v2_broadcast
// CHECK:  "tfl.select_v2"(%arg0, %arg1, %arg2)
// CHECK:  return
}

// CHECK: return %[[TRANSPOSE]]

// -----

// Tests that a float `stablehlo.transpose` is not converted to `tfl.transpose`.

func.func @transpose_float(%arg0: tensor<2x3x4xf32>) -> tensor<4x3x2xf32> {
  %0 = stablehlo.transpose %arg0, dims = [2, 1, 0] : (tensor<2x3x4xf32>) -> tensor<4x3x2xf32>
  return %0 : tensor<4x3x2xf32>
}
// CHECK-LABEL: transpose_float
// CHECK-NOT: tfl.transpose
// CHECK: stablehlo.transpose

// -----

func.func @testTranspose(tensor<2x3x4xf32>) -> tensor<3x2x4xf32> {
^bb0(%arg0: tensor<2x3x4xf32>):
  %cst = arith.constant dense<[2, 0, 1]> : tensor<3xi32>
  // expected-error @+1 {{requires y.shape[0] (3) to be equal to x.shape[perm[2]] (4)}}
  %0 = "tf.Transpose"(%arg0, %cst) {T = "tfdtype$DT_FLOAT", Tperm = "tfdtype$DT_INT32"} : (tensor<2x3x4xf32>, tensor<3xi32>) -> tensor<3x2x4xf32>
  func.return %0 : tensor<3x2x4xf32>
}