Comments (2)
TENSORFLOW_FRAMEWORK_LIB
must point to the tensorflow_framework.so
If you use a virtualenv make sure to activate it before invoking cmake.
The instructions in the README.md worked for us on ubuntu 18.04 with the option BUILD_WITH_CUDA=OFF
.
I hope this helps you.
from demon.
Thanks very much for your help!
I have finally figured out that I wrongly specify the Python executable, as I have just switched to using Ubuntu, this is first time I use Tensorflow on Ubuntu.
BTW, after the make
, it runs smoothly until compile flowtodepth.cc.o, it got stuck after some warning-unused for over 1 hour. But instead of making additional issue, I decided to make it build on travis-ci. As I built it with GCC-6, but after switched to GCC-7, it stucked again, on travis machine. I think there are something about GCC-7 I don't know.
But I finally got the lmbspecialops.so on my machine, what a great works of you on Deep Vision!
from demon.
Related Issues (20)
- AttributeError: module 'lmbspecialops' has no attribute 'leaky_relu' HOT 2
- Train error (different shapes) HOT 2
- lmbspecialops make error HOT 5
- Not loading created datasets HOT 1
- Cant install 'minieigen' HOT 2
- make error tensorflow/correlation/op.h
- create dataset HOT 1
- question about training datasets
- undefined symbol: _ZN10tensorflow7strings6StrCatERKNS0_8AlphaNumES3_S3_S3_ HOT 2
- make error:has no member named ‘starts_with’ HOT 2
- documentation for generating "depthTSDF" folder
- Error importing lmbspecialops HOT 1
- Sample for google colab notebook HOT 1
- Bad accuracy at black/white images HOT 2
- Performance issues in the program HOT 1
- Performance issues in /examples/evaluation.py (by P3) HOT 1
- scaleinvariantgradient_cuda.cu - cannot compile
- the minus values depth map gt
- pytorch implementation
- Scenes11 dataset
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