RuntimeError: Unable to find a valid cuDNN algorithm to run convolution

[PoPdark]

I was using the command: python tools/test.py ./configs/recognition/swin/swin_small_patch244_window877_kinetics400_1k.py ./swin_small_patch244_window877_kinetics400_1k.pth --eval top_k_accuracy to do inference, the error occurred. someone says that I need to decrease the batch_size, but I didn't find the correlative parameter.

ETA:Traceback (most recent call last):
File "/root/obelisk/Collection/Video-Swin-Transformer-master/tools/test.py", line 364, in
main()
File "/root/obelisk/Collection/Video-Swin-Transformer-master/tools/test.py", line 349, in main
outputs = inference_pytorch(args, cfg, distributed, data_loader)
File "/root/obelisk/Collection/Video-Swin-Transformer-master/tools/test.py", line 160, in inference_pytorch
outputs = single_gpu_test(model, data_loader)
File "/root/anaconda3/lib/python3.9/site-packages/mmcv/engine/test.py", line 33, in single_gpu_test
result = model(return_loss=False, **data)
File "/root/anaconda3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/root/anaconda3/lib/python3.9/site-packages/mmcv/parallel/data_parallel.py", line 50, in forward
return super().forward(*inputs, **kwargs)
File "/root/anaconda3/lib/python3.9/site-packages/torch/nn/parallel/data_parallel.py", line 166, in forward
return self.module(*inputs[0], **kwargs[0])
File "/root/anaconda3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/root/obelisk/Collection/Video-Swin-Transformer-master/mmaction/models/recognizers/base.py", line 258, in forward
return self.forward_test(imgs, **kwargs)
File "/root/obelisk/Collection/Video-Swin-Transformer-master/mmaction/models/recognizers/recognizer3d.py", line 90, in forward_test
return self._do_test(imgs).cpu().numpy()
File "/root/obelisk/Collection/Video-Swin-Transformer-master/mmaction/models/recognizers/recognizer3d.py", line 47, in _do_test
x = self.extract_feat(batch_imgs)
File "/root/anaconda3/lib/python3.9/site-packages/mmcv/runner/fp16_utils.py", line 98, in new_func
return old_func(*args, **kwargs)
File "/root/obelisk/Collection/Video-Swin-Transformer-master/mmaction/models/recognizers/base.py", line 157, in extract_feat
x = self.backbone(imgs)
File "/root/anaconda3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/root/obelisk/Collection/Video-Swin-Transformer-master/mmaction/models/backbones/swin_transformer.py", line 652, in forward
x = self.patch_embed(x)
File "/root/anaconda3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/root/obelisk/Collection/Video-Swin-Transformer-master/mmaction/models/backbones/swin_transformer.py", line 449, in forward
x = self.proj(x) # B C D Wh Ww
File "/root/anaconda3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/root/anaconda3/lib/python3.9/site-packages/torch/nn/modules/conv.py", line 590, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/root/anaconda3/lib/python3.9/site-packages/torch/nn/modules/conv.py", line 585, in _conv_forward
return F.conv3d(
RuntimeError: Unable to find a valid cuDNN algorithm to run convolution