//       op_costs: [40, -1],
//    ]
//  }
// }
table HardwareMetadata {
  // List of different hardwares this model can use.
  hardware_name:[string];
}

// Metadata for a single Op.
table OpMetadata {
  // Node index in the corresponding subgraph.
  index:int;
  // The hardware suggested for inference.
  // This will correspond to the index in the hardware_name field in the
  // hardware metadata.
  hardware:uint8;

         ++j) {
      auto result_op_metadata =
          result_subgraph_metadata->op_metadata()->GetAs<OpMetadata>(j);
      auto expected_op_metadata =
          expected_subgraph_metadata->op_metadata()->GetAs<OpMetadata>(j);
      EXPECT_EQ(result_op_metadata->index(), expected_op_metadata->index());
      EXPECT_EQ(result_op_metadata->hardware(),

    const std::map<std::string, uint8_t>& hardware_map, mlir::Region* Region,
    flatbuffers::FlatBufferBuilder* builder) {
  auto& block = Region->front();
  int index = 0;
  std::vector<flatbuffers::Offset<tflite::OpMetadata>> ops;
  for (auto& inst : block) {
    // Const nodes are mapped to const vectors in flatbuffer, so skip.
    if (IsConst(&inst)) continue;

    // The model may contain quant stats op which is unrelevant to the