旧版本使用enqueue、enqueueV2进行推理,而新api是enqueueV3这里的差异导致我研究了半天。 首先看一下旧版本的推理方式,以enqueueV2为例: // 分配cuda stream CUDA_CHECK(cudaStreamCreate(&stream)); // 这里是将真正的输入数据移动到刚刚绑定申请完显存的缓存地址上,inputDat
context->enqueueV3(stream); A network will be executed asynchronously or not depending on the structure and features of the network.A non-exhaustive list of features that can cause synchronous behavior are data dependent shapes, DLA usage, loops, and plugins that are synchronous, for example. It...
TensorRT’s enqueueV3() method supports CUDA graph capture for models requiring no mid-pipeline CPU interaction. For example: C++ 1// Call enqueueV3() once after an input shape change to update internal state. 2context->enqueueV3(stream); 3 4// Capture a CUDA graph instance 5cudaGraph_t...
For example, in a call to ExecutionContext::enqueueV3(), the execution context was created from an engine, which was created from a runtime, so TensorRT will use the logger associated with that runtime. The primary method of error handling is the ErrorRecorder interface. You can...
推理过程，并给出相应代码，在runtime阶段将会使用最新的enqueueV3方法。
For example, in a call to ExecutionContext::enqueueV3(), the execution context was created from an engine, which was created from a runtime, so TensorRT will use the logger associated with that runtime. The primary method of error handling is the ErrorRecorder interface. You can implemen...
Avoided unnecessary cuStreamSynchronize() calls in enqueueV2() and enqueueV3() when running LSTMs or Transformer-like networks. Improved the performance of various networks on NVIDIA Hopper GPUs. Added an optimization level builder flag, which allows TensorRT to spend more engine building time se...
Fix for warning as default stream was used in enqueueV3 by @keehyuna in #3191 chore: doc updates by @peri044 in #3238 chore: Additional Doc fixes by @peri044 in #32... Read more Contributorstechnillogue, narendasan, and 11 other contributors Assets...
确保yolov3.weights和yolov3.cfg在同一目录下。 在终端运行:python smart_surveillance.py。 第四步:故障排除 摄像头不工作: 确保你的摄像头是可用的,并且没有被其他应用占用。 模型文件不可用: 确保YOLO模型文件和Haar Cascades文件在正确的路径下。 常见问题与解决方案 ...
这里参见paddleOCRv3之一: rec识别部分用 openVINO(C++)部署 3. onnx转为tensorRT的engine模型 这里可以采用onnxparser在代码里面转,也可以采用trtexec.exe转,因为engine模型是和GPU硬件绑定的,不同型号的显卡上转换的模型并不通用。所以一般来说用代码转换的方式是更通用的,这一部分如果以后有时间再加吧,这里先用trt...