// CHECK-SAME:                      %[[VAL_1:.*]]: tensor<f32>) -> tensor<11x131xf32> {
// CHECK:           %[[VAL_2:.*]] = arith.constant dense<{{\[\[}}1, 2], [0, 3]]> : tensor<2x2xi64>
// CHECK:           %[[VAL_3:.*]] = "tf.PadV2"(%[[VAL_0]], %[[VAL_2]], %[[VAL_1]]) : (tensor<8x128xf32>, tensor<2x2xi64>, tensor<f32>) -> tensor<11x131xf32>
// CHECK:           return %[[VAL_3]] : tensor<11x131xf32>
// CHECK:         }

// CHECK-LABEL: @xlasort_const
func.func @xlasort_const() -> (tensor<2x3xi64>) {
  // CHECK: [2, 4, 3], [6, 5, 1]
  %input = "tf.Const"() {value = dense<[[2, 4, 3], [6, 5, 1]]> : tensor<2x3xi64>} : () -> (tensor<2x3xi64>)
  // CHECK-NEXT: [2, 3, 4], [1, 5, 6]
  %output = "tf.XlaSort"(%input): (tensor<2x3xi64>) -> (tensor<2x3xi64>)
  func.return %output : tensor<2x3xi64>
}