MirrorPadMode_SYMMETRIC
  };
  return values;
}

inline const char * const *EnumNamesMirrorPadMode() {
  static const char * const names[3] = {
    "REFLECT",
    "SYMMETRIC",
    nullptr
  };
  return names;
}

inline const char *EnumNameMirrorPadMode(MirrorPadMode e) {
  if (::flatbuffers::IsOutRange(e, MirrorPadMode_REFLECT, MirrorPadMode_SYMMETRIC)) return "";

        `TFLiteConverter.from_saved_model`.
    *   Added DEPTH_TO_SPACE support in Post training quantization.
    *   Added dynamic range quantization support for the BatchMatMul op.
        *   Both symmetric and asymmetric quantized input tensor are supported.
    *   Add `RFFT2D` as builtin op. (`RFFT2D` also supports `RFFTD`.) Currently
        only supports float32 input.
    *   Add 5D support to `SLICE` op.