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根据CULane做测试的时候，训练莫名被killed

6

我在根据所给的步骤，完成CULane数据集下载，opencv c++下载以后，开始训练模型时，第一轮2778的正常能训，但是第二阶段4335的，没开始就显示killed，尝试了两次都是这样，想问下各位这是什么原因呢 

RuntimeError: CUDA error: no kernel image is available for execution on the device 2024-05-15T10:49:54.910116296Z CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. 2024-05-15T10:49:54.910125144Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1

3

Version： Pytorch：1.10.1 Cuda：11.1 chamferdist：1.0.0 Traceback (most recent call last): 2024-05-15T10:49:54.908855819Z File "./tools/test.py", line 266, in 2024-05-15T10:49:54.908901447Z main() 2024-05-15T10:49:54.908922825Z File "./tools/test.py", line 237, in main 2024-05-15T10:49:54.909075639Z outputs = custom_multi_gpu_test(model, data_loader, args.tmpdir,...

About custom datasets and num_pred_height in config

2

When I try to use my own dataset to connect to vidar debugging, point_cloud_range = [-70, -150, -10.0, 70, 150, 10.0], num_pred_height = 16, but there are always some idx...