Open xiaocongcsu opened 1 year ago
You may try to raise workers_per_gpu
.
You may try to raise
workers_per_gpu
.
I tried it but it's much slower...
Have you solved this problem? I encounter the same issue with the A100 GPU.
The processing of radar point cloud is too time-consuming. You can try the method in Bevstereo. Store the point cloud as an npy file, and then read it.
The processing of radar point cloud is too time-consuming. You can try the method in Bevstereo. Store the point cloud as an npy file, and then read it.
Thanks for your advice! Can you give me a demo code?
The training speed is very slow, did anybody encounter this problem?
And the GPU is in use:
Have you solved this problem?
Not solved yet, I used the implementation in BEVDet.
The training speed is very slow, did anybody encounter this problem?
And the GPU is in use: