fix memmory leak of GetInputOutputInfo

雾聪

2024-10-10 4d8e96f695445af61e905d67fa486fcb382ec4ac

fix memmory leak of GetInputOutputInfo

 runtime/onnxruntime/src/fsmn-vad.cpp

@@ -72,38 +72,14 @@
    in_names->resize(num_nodes);
    for (int i = 0; i < num_nodes; ++i) {
        std::unique_ptr<char, Ort::detail::AllocatedFree> name = session->GetInputNameAllocated(i, allocator);
        Ort::TypeInfo type_info = session->GetInputTypeInfo(i);
        auto tensor_info = type_info.GetTensorTypeAndShapeInfo();
        ONNXTensorElementDataType type = tensor_info.GetElementType();
        std::vector<int64_t> node_dims = tensor_info.GetShape();
        std::stringstream shape;
        for (auto j: node_dims) {
            shape << j;
            shape << " ";
        }
        // LOG(INFO) << "\tInput " << i << " : name=" << name.get() << " type=" << type
        //           << " dims=" << shape.str();
        (*in_names)[i] = name.get();
        name.release();
    }
    // Output info
    num_nodes = session->GetOutputCount();
    out_names->resize(num_nodes);
    for (int i = 0; i < num_nodes; ++i) {
        std::unique_ptr<char, Ort::detail::AllocatedFree> name = session->GetOutputNameAllocated(i, allocator);
        Ort::TypeInfo type_info = session->GetOutputTypeInfo(i);
        auto tensor_info = type_info.GetTensorTypeAndShapeInfo();
        ONNXTensorElementDataType type = tensor_info.GetElementType();
        std::vector<int64_t> node_dims = tensor_info.GetShape();
        std::stringstream shape;
        for (auto j: node_dims) {
            shape << j;
            shape << " ";
        }
        // LOG(INFO) << "\tOutput " << i << " : name=" << name.get() << " type=" << type
        //           << " dims=" << shape.str();
        (*out_names)[i] = name.get();
        name.release();
    }
}