Moreover, the latencies of all models are tested on T4 GPU with TensorRT FP16, following [71]. ️ 1 Author levipereira commented May 26, 2024 Thank you for showing me where it was, I didn't see it even though I looked for it. I have quantized YOLOv9 using QAT with minimal...
这种模型相当于将原来需要大量后处理和帧间关联的步骤全部放到了模型网络里,势必带来一系列的动态元素,如多if-else分支,子网络输入shape动态变化,和其他一些需要动态处理的操作和算子等.这种情况下还能成功转换为TensorRT格式并实现精度对齐,甚至fp16的精度对齐吗? MUTR3D架构 因为整个过程涉及多个细节,情况各不一样,纵...
Description A clear and concise description of what the bug is. I deployed the onnx model of yolov5 in triton and optimized it with tensorrt, and I tested the tensorrt model of yolov5 in other places. Its inference time is close to Avg request latency, but the increased time of Avg HTT...
For the V100 launch, we presented theflower demoto showcase the ability of NVIDIA TensorRT to achieve impressive performance for a typical image classification inference problem. Later, the flower demo was also used to demonstratefull utilization and scalability of a multi-GPU system in a Kubernetes...