%0 = "tf.LogicalOr"(%arg0, %arg1) : (tensor<2xi1>, tensor<2xi1>) -> tensor<2xi1>
  func.return %0: tensor<2xi1>
}

// CHECK-LABEL: func @bitwise_or
func.func @bitwise_or(%arg0: tensor<4xi32>, %arg1: tensor<4xi32>) -> tensor<4xi32> {
  // CHECK-NEXT: mhlo.or
  %0 = "tf.BitwiseOr"(%arg0, %arg1) : (tensor<4xi32>, tensor<4xi32>) -> tensor<4xi32>
  func.return %0: tensor<4xi32>
}

// CHECK-LABEL: func @bitwise_or_unsigned

// packed_low = bitwise_and(packed_low, 0x0F)
//
// packed_high = slice(value, [0, value.shape[1] / 2, 0, 0], slice_shape)
// packed_high = left_shift(packed_high, 4)
//
// packed_value = bitwise_or(packed_low, packed_high)
Value PackOperand(OpBuilder &builder, Location loc, Value value, int pack_dim) {
  ShapedType value_type = mlir::cast<ShapedType>(value.getType());
  const int rank = value_type.getRank();