// custom op is quantized only for storage and dequantized at runtime.
// 'no_side_effect' is used to determine whether the op can be pruned if
// considered as trivially dead.
struct CustomOpInfo {
  std::vector<std::int32_t> quantizable_input_indices;
  bool is_weight_only = false;
  bool no_side_effect = true;
};

using BuiltinOperatorSet = absl::flat_hash_set<tflite::BuiltinOperator>;

        entry.second.quantizable_input_indices;
    quant_specs.custom_map[entry.first].is_weight_only =
        entry.second.is_weight_only;
    quant_specs.custom_map[entry.first].no_side_effect =
        entry.second.no_side_effect;
  }

  if (quant_specs.inference_type == tensorflow::DT_INT8)
    quant_specs.inference_type = tensorflow::DT_QINT8;

  if (!(quant_specs.inference_type == tensorflow::DT_HALF ||

        custom_op_map[node_name].is_weight_only =
            GetBooleanSpecs(node_specification);
        break;
      case CustomOpUpdateOptions::kNoSideEffect:
        custom_op_map[node_name].no_side_effect =
            GetBooleanSpecs(node_specification);
        break;
    }
  }
}

bool ParseInputNodeQuantSpecs(const absl::string_view node_names,

Tres Popp <******@****.***> 1648100645 -0700