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We have tried FP32 FP16 for yolov5-6.0 n/s/l/m/x and yolov3 also; this project works perfectly for these mode. But int8 mode does not work, we get this error when we do int8 mode for yolov5-6.0 n/s/m/l/x, yolv3 also
We have tried FP32 FP16 for yolov5-6.0 n/s/l/m/x and yolov3 also; this project works perfectly for these mode. But int8 mode does not work, we get this error when we do int8 mode for yolov5-6.0 n/s/m/l/x, yolv3 also
Hi, highly appreciate for your work.
Device: AGX Xavier
OS: Ubuntu 18.04.6 LTS
Jetpack 4.6, CUDA 10.2, CUDNN 8.2.1, TensorRT 8.0.1.6
We have tried FP32 FP16 for yolov5-6.0 n/s/l/m/x and yolov3 also; this project works perfectly for these mode. But int8 mode does not work, we get this error when we do int8 mode for yolov5-6.0 n/s/m/l/x, yolv3 also
ERROR: 2: [reformatRunner.cpp::onShapeChangeNONCONST::104] Error Code 2: Internal Error (Assertion mCombinedScalesSize >= channelDst failed.)
yolo-trt: /home/nvidia/Projects/yolo-tensorrt/modules/yolo.cpp:488: void Yolo::createYOLOEngine(nvinfer1::DataType, Int8EntropyCalibrator*): Assertion `m_Engine != nullptr' failed.
Aborted (core dumped)
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