Please provide the following information when requesting support.
• Hardware (T4/V100/Xavier/Nano/etc) RTX4080
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc) Yolov4
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here) nvcr.io/nvidia/tao/tao-toolkit:5.0.0-tf1.15.5
I trained yolov4 in docker and tried to export onnx in int8 format using the following command.
yolo_v4 export -m /workspace/tao_tutorials/data/experiment_dir_unpruned/resnet18/weights/yolov4_resnet18_epoch_080.hdf5 -k nvidia_tlt -e /workspace/tao_tutorials/notebooks/tao_launcher_starter_kit/yolo_v4/specs/yolo_v4_train_resnet18_kitti.txt --batch_size 3 --data_type int8 --cal_image_dir /workspace/tao_tutorials/data/images --batches 10 --cal_cache_file /workspace/tao_tutorials/data/experiment_dir_unpruned/resnet18/weights/yolov4_resnet18.cal --cal_data_file /workspace/tao_tutorials/data/experiment_dir_unpruned/resnet18/weights/yolov4_resnet18.tensorfile
Only onnx and tensorfile are produced. There is no cal file. How to have cal file?
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