Open gxwyxajh88 opened 2 years ago
GTX 3090
paddledet 2.5.0
paddlepaddle-gpu 2.4.2.post112
运行yolox-s,出现同样的问题: GPU 模式,正常,GPU-trtfp32错误!!
使用PaddleInference将PaddleDetection YOLOX系列的模型部署到Jetson Nano和Jetson Xavier NX,不使用TensorRT推理正常,开启TensorRT出现相似的问题。
GTX 3090 paddledet 2.5.0 paddlepaddle-gpu 2.4.2.post112 运行yolox-s,出现同样的问题: GPU 模式,正常,GPU-trtfp32错误!!
问题确认 Search before asking
bug描述 Describe the Bug
--run_mode=paddle 不开启trt的情况下可以正常运行输出,用命令“python3 tools/export_model.py -c configs/ppyoloe/ppyoloe_crn_s_300e_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/ppyoloe_crn_s_300e_coco.pdparams trt=True”导出trt以后进行fp16推理出现异常,输出信息如下: ----------- Running Arguments ----------- action_file: None batch_size: 1 camera_id: -1 cpu_threads: 1 device: gpu enable_mkldnn: False enable_mkldnn_bfloat16: False image_dir: None image_file: demo/000000014439_640x640.jpg model_dir: output_inference/ppyoloe_crn_s_300e_coco output_dir: output random_pad: False reid_batch_size: 50 reid_model_dir: None run_benchmark: False run_mode: trt_fp16 save_images: False save_mot_txt_per_img: False save_mot_txts: False save_results: False scaled: False threshold: 0.5 tracker_config: None trt_calib_mode: False trt_max_shape: 1280 trt_min_shape: 1 trt_opt_shape: 640 use_dark: True use_gpu: False video_file: None window_size: 50
----------- Model Configuration ----------- Model Arch: YOLO Transform Order: --transform op: Resize --transform op: NormalizeImage --transform op: Permute
E0704 17:15:40.951094 9144 helper.h:111] Invalid parameter: NMS topK (10000) exceeds limit (4096) E0704 17:15:40.951248 9144 helper.h:111] Invalid parameter: NMS topK (10000) exceeds limit (4096) E0704 17:15:40.953336 9144 helper.h:111] Invalid parameter: NMS topK (10000) exceeds limit (4096) E0704 17:15:44.247506 9144 helper.h:111] Invalid parameter: NMS topK (10000) exceeds limit (4096) E0704 17:15:45.962250 9144 helper.h:111] Invalid parameter: NMS topK (10000) exceeds limit (4096) E0704 17:15:46.186007 9144 helper.h:111] Invalid parameter: NMS topK (10000) exceeds limit (4096)
复现环境 Environment
PaddlePaddle: 2.3.0 (飞浆官网下载的 paddlepaddle_gpu-2.3.0-cp36-cp36m-linux_aarch64.whl) PaddleDetection: 2.4 Python: 3.6 CUDA: 10.2 CUDNN: 8.2.1.32 TensorRT: 8.0.1.6
是否愿意提交PR Are you willing to submit a PR?