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Got an error when running /apis/run.py #28
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i also faced this problem. Have you solved it yet? |
same issue is here. @Huangying-Zhan any solution? Thanks |
its because of different version of Cuda as i think. Latest Nvidia GPU model doesnt support cuda9.0 and got this issue. |
I also met this problem, it is because the size of the pictures in kitti_odom is 1226*370, but in options/examples/default_configuration.yml ,the size of pictures is not the same number. I changed the text and it can run. image: |
Amazing and thanks!!!!!!!!!!!!!!!!! |
Hi everyone, when i running "python apis/run.py -d options/examples/default_configuration.yml" a have such error:
My ubuntu, torch, cuda versions match with required.
File "apis/run.py", line 85, in
vo.main()
File "/workspace/DF-VO/libs/dfvo.py", line 373, in main
self.deep_model_inference()
File "/workspace/DF-VO/libs/dfvo.py", line 326, in deep_model_inference
forward_backward=self.cfg.deep_flow.forward_backward)
File "/workspace/DF-VO/libs/deep_models/deep_models.py", line 173, in forward_flow
dataset=self.cfg.dataset)
File "/workspace/DF-VO/libs/deep_models/flow/lite_flow_net/lite_flow.py", line 119, in inference_flow
combined_flow_data = self.inference_no_grad(input_img1, input_img2)
File "/workspace/DF-VO/envs/dfvo/lib/python3.6/site-packages/torch/autograd/grad_mode.py", line 43, in decorate_no_grad
return func(*args, **kwargs)
File "/workspace/DF-VO/libs/deep_models/flow/deep_flow.py", line 169, in inference_no_grad
return self.inference(img1, img2)
File "/workspace/DF-VO/libs/deep_models/flow/lite_flow_net/lite_flow.py", line 77, in inference
output = self.model(resized_img_list)
File "/workspace/DF-VO/envs/dfvo/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/workspace/DF-VO/libs/deep_models/flow/lite_flow_net/lite_flow_net.py", line 318, in forward
tensorFlow = self.moduleRegularization[intLevel](tensorFirst[intLevel], tensorSecond[intLevel], tensorFeaturesFirst[intLevel], tensorFeaturesSecond[intLevel], tensorFlow)
File "/workspace/DF-VO/envs/dfvo/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/workspace/DF-VO/libs/deep_models/flow/lite_flow_net/lite_flow_net.py", line 255, in forward
tensorDist = self.moduleDist(self.moduleMain(torch.cat([ tensorDifference, tensorFlow - tensorFlow.view(tensorFlow.size(0), 2, -1).mean(2, True).view(tensorFlow.size(0), 2, 1, 1), self.moduleFeat(tensorFeaturesFirst) ], 1)))
File "/workspace/DF-VO/envs/dfvo/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/workspace/DF-VO/envs/dfvo/lib/python3.6/site-packages/torch/nn/modules/container.py", line 92, in forward
input = module(input)
File "/workspace/DF-VO/envs/dfvo/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "/workspace/DF-VO/envs/dfvo/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 338, in forward
self.padding, self.dilation, self.groups)
RuntimeError: cuDNN error: CUDNN_STATUS_BAD_PARAM
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