Comments (4)
It seems your GPU driver is not properly installed, do you have normal nvidia-smi
output? Can you run other operation in gpu by manually set the device to GPU? Did you set CUDA_VISIBLE_DEVICES
to some other value?
Personally I don't think it's related to my code, what do you think?
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Me too, now ,the output of nvidia-smi are "nvidia: command not found" I am wondering if I need to reinstall cuda , I guess it was the change of gcc leads to the cuda failure
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@feitiandemiaomi have you fixed the problem? i also met the problem.
from tf_deformable_net.
@Zealoe Do you also encounter this issue after the reinstal of gcc? I am afraid that the GPU cuda stuff is based on the original gcc. You might want to install the original version gcc or reinstall cuda in current setting.
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Related Issues (20)
- Could you upgrade the lib to support tensorflow 1.4, cudnn 6.0 and cuda 8.0?
- any detail result accuracy about your result? HOT 1
- config.py paras problems HOT 1
- training problems HOT 1
- Is it compatible with cuda9.1 and cudnn7? HOT 6
- Batchsize issue HOT 1
- Offsets Subnet Details HOT 3
- Meaning of num_groups in offsets HOT 3
- How to use this on Windows
- Problems in installation HOT 5
- can it be used in g++4.8? HOT 2
- Can we add deformable convolution at different places?
- Testing problem HOT 2
- Compile Error HOT 12
- deform_conv.so: undefined symbol: _ZN10tensorflow8internal21CheckOpMessageBuilder9NewStringB5cxx11Ev HOT 1
- Thoughts on training on Custom data
- Training error while running faster_rcnn/train_net.py HOT 2
- DCN V2
- compile error
- Error when executing command: make
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