zhl98
zhl98
OK, thank you very much!
Hey, after update the incremental_batch_size to 256 , runned with 1 GPU ,the result is still only 69.50%.  But it does seem that the effect of two GPUs is...
cuda版本有要求么,我发现我在python里可以找到gpu,但在代码运行的时候显示没有cuda 
> > cuda版本有要求么,我发现我在python里可以找到gpu,但在代码运行的时候显示没有cuda  > > codes\options\options.py os.environ['CUDA_VISIBLE_DEVICES'] = gpu_list改成os.environ["CUDA_VISIBLE_DEVICES"] = "0" 另外在运行python test_ClassSR.py -opt options/test/test_ClassSR_SRResNet.yml的时候要对应把test_ClassSR.py执行的部分定义成函数(比如main),然后再放到 if **name**=='**main**': main() 执行,可能是因为windows多进程的问题... 把cuda设备数设为0确实可以这个问题,但是这样会用cpu进行训练而不是GPU
The lr is 1e-5
update the vit from fp16 to fp32