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https://github.com/PaddlePaddle/FastDeploy.git
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set stream by raw size_t
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@@ -48,6 +48,7 @@ void BindOption(pybind11::module& m) {
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.def_readwrite("poros_option", &RuntimeOption::poros_option)
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.def_readwrite("paddle_infer_option", &RuntimeOption::paddle_infer_option)
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.def("set_external_stream", &RuntimeOption::SetExternalStream)
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.def("set_external_raw_stream", &RuntimeOption::SetExternalRawStream)
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.def("set_cpu_thread_num", &RuntimeOption::SetCpuThreadNum)
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.def("use_paddle_backend", &RuntimeOption::UsePaddleBackend)
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.def("use_poros_backend", &RuntimeOption::UsePorosBackend)
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@@ -93,6 +93,10 @@ void RuntimeOption::SetExternalStream(void* external_stream) {
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external_stream_ = external_stream;
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}
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void RuntimeOption::SetExternalRawStream(size_t external_stream) {
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external_stream_ = (void*) external_stream;
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}
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void RuntimeOption::SetCpuThreadNum(int thread_num) {
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FDASSERT(thread_num > 0, "The thread_num must be greater than 0.");
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cpu_thread_num = thread_num;
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@@ -111,6 +111,8 @@ struct FASTDEPLOY_DECL RuntimeOption {
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void SetExternalStream(void* external_stream);
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void SetExternalRawStream(size_t external_stream);
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/*
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* @brief Set number of cpu threads while inference on CPU, by default it will decided by the different backends
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*/
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