enqueuev3的使用enqueuev3的使用 初始化配置阶段需要明确应用场景的具体需求。如果是高并发订单处理系统,建议将线程池大小设置为CPU核心数的2-3倍,缓冲队列长度根据历史峰值流量上浮30%作为安全阈值。特别注意队列溢出策略的选择,电商类业务推荐使用Blocking策略保证数据完整性,社交类业务可选用DiscardOldest策略确保实时性。
This is when torch.cuda.set_stream() is used. Non default stream is used for cuda graph/enqueueV3(). But stream is not restored after Forward() . This is proposed fix to keep side stream to cuda graph or enqueueV3() core/runtime/execute_engine.cpp @@ -333,7 +331,7 @@ std:...
Error[3]: [executionContext.cpp::nvinfer1::rt::ExecutionContext::enqueueV3::2666] Error Code 3: API Usage Error (Parameter check failed at: executionContext.cpp::nvinfer1::rt::ExecutionContext::enqueueV3::2666, condition: mContext.profileObliviousBindings.at(profileObliviousIndex) || getPtrOrN...
Description We have a pytorch GNN model that we run on an Nvidia GPU with TensorRT (TRT). For the scatter_add operation we are using the scatter elements plugin for TRT. We are now trying to quantize it. We are following the same procedu...