Comments (15)
Comment out this part of line 56 in the makefile : "-D_GLIBCXX_USE_CXX11_ABI=0". That works for Tensorflow 1.3, cuda 9, titan v
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Same problem.
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It seems that tensorflow-gpu 1.3.0 version doesn't work to me. I managed to run the code. For your information, my platform that can run is the following:
tensorflow-gpu (1.0.1)
CUDA 8.0
Ubuntu 14.04
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You can try it under configurations: gcc4.9, python2.7, Tensorflow1.2.0, cuda8.0, cudnn5.1, GTX TitanX. I have tried Tensorflow1.1.0 and Tensorlfow1.0.1, both did't work. Only Tensorflow1.2.0 did work!
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the same questions with you
from flownet2-tf.
You can enter "make" command in the terminal under the path of Makefile. Then it will generate the files in need.
~/flownet2-tf$ make
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@zxy-HIT @ChenGQ26
Hi!Could you please tell me have you succeed in training?
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@yinjunbo
Hi! I didn‘t try it in training.
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Hi! I have the same issue and didn't get resolved by commenting out that line. I'm using tf1.7, cuda9.0 python2.7, gcc5.4 and TitanX as GPU. Thanks!
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Make sure you used the same python version to compile (specified in Makefile) and run.
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same problem with Python 2.7, Tensorflow 1.4, Cuda 8.0, Ubuntu 16.04. Tried to comment that line before building but nothing changed.
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I faced the same issue with python3, tf 1.5. Fixed it by following this issue tensorflow/tensorflow#13607
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TensorFlow 1.2.1 also works, but not > 1.2.1
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facing the same issues, finally got results #28
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Related Issues (20)
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- make error HOT 3
- Update of FN2 to TF2.x?
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- how to transfer the ppm and flo data to the tfrecord ones?
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- Different error when running test: Undefined symbol: _ZN10tensorflow3PadERKN5Eigen9GpuDeviceEPKfiiiiiiPf HOT 10
- I got a very large number of the flow?
- About augmentation
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