RuntimeError: Unable to find a valid cuDNN algorithm to run convolution
Preface solution
preface
Today, we use Yolo V5.6 training model and modify the batch size to 32. The following error occurred:
Starting training for 100 epochs...
Epoch gpu_mem box obj cls labels img_size
0%| | 0/483 [00:04<?, ?it/s]
Traceback (most recent call last):
File "train.py", line 620, in <module>
main(opt)
File "train.py", line 517, in main
train(opt.hyp, opt, device, callbacks)
File "train.py", line 315, in train
pred = model(imgs) # forward
File "E:\Anaconda3\envs\yolov550\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "D:\liufq\yolov5-6.0\models\yolo.py", line 126, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "D:\liufq\yolov5-6.0\models\yolo.py", line 149, in _forward_once
x = m(x) # run
File "E:\Anaconda3\envs\yolov550\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "D:\liufq\yolov5-6.0\models\common.py", line 137, in forward
return self.cv3(torch.cat((self.m(self.cv1(x)), self.cv2(x)), dim=1))
File "E:\Anaconda3\envs\yolov550\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "D:\liufq\yolov5-6.0\models\common.py", line 45, in forward
return self.act(self.bn(self.conv(x)))
File "E:\Anaconda3\envs\yolov550\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "E:\Anaconda3\envs\yolov550\lib\site-packages\torch\nn\modules\conv.py", line 443, in forward
return self._conv_forward(input, self.weight, self.bias)
File "E:\Anaconda3\envs\yolov550\lib\site-packages\torch\nn\modules\conv.py", line 440, in _conv_forward
self.padding, self.dilation, self.groups)
RuntimeError: Unable to find a valid cuDNN algorithm to run convolution
terms of settlement
Modify the size of batchsize and make it smaller.
on the left of the viewport
after encountering problems, the first is a variety of search solutions. The commonly used solutions are probably the following:
