// CHECK:         }
func.func @convert_dynamic_slice_ui32(%arg0: tensor<7x3xf32>, %arg1: tensor<ui32>, %arg2: tensor<ui32>) -> tensor<4x2xf32> {
  %0 = "mhlo.dynamic_slice"(%arg0, %arg1, %arg2) <{slice_sizes = dense<[4, 2]> : tensor<2xi64>}> : (tensor<7x3xf32>, tensor<ui32>, tensor<ui32>) -> tensor<4x2xf32>
  func.return %0 : tensor<4x2xf32>
}

// CHECK-LABEL:   func.func @convert_scatter_update(

func.func @relu6_unsigned(%arg0: tensor<?xui32>) -> tensor<?xui32> {
  // CHECK-DAG: %[[ZERO:.*]] = mhlo.constant dense<0> : tensor<ui32>
  // CHECK-DAG: %[[SIX:.*]] = mhlo.constant dense<6> : tensor<ui32>
  // CHECK: mhlo.clamp %[[ZERO]], %arg0, %[[SIX]] : (tensor<ui32>, tensor<?xui32>, tensor<ui32>) -> tensor<?xui32>
  %0 = "tf.Relu6"(%arg0) : (tensor<?xui32>) -> tensor<?xui32>
  func.return %0: tensor<?xui32>
}

// -----

func.func @broadcast_to_ui32(%arg0: tensor<ui32>, %arg1: tensor<1xi64>) -> tensor<10xui32> {
  %0 = "tfl.broadcast_to"(%arg0, %arg1) : (tensor<ui32>, tensor<1xi64>) -> tensor<10xui32>
  return %0 : tensor<10xui32>
  // CHECK:  %cst = arith.constant dense<1> : tensor<10xui32>
  // CHECK:  %0 = tfl.mul(%arg0, %cst) <{fused_activation_function = "NONE"}> : (tensor<ui32>, tensor<10xui32>) -> tensor<10xui32>