I am trying to learn more about tensorflow and building a custom model with it.
I follow an instruction in which i install a docker container with the following steps:
git clone https://github.com/tensorflow/models.git
cd models
docker build -f research/object_detection/dockerfiles/tf2/Dockerfile -t od .
docker run -it od
All works ok.
Next step is to run a test in the container script:
python object_detection/builders/model_builder_tf2_test.py
This fails and outputs:
Traceback (most recent call last):
File "object_detection/builders/model_builder_tf2_test.py", line 22, in <module>
import tensorflow.compat.v1 as tf
File "/home/tensorflow/.local/lib/python3.6/site-packages/tensorflow/__init__.py", line 438, in <module>
_ll.load_library(_main_dir)
File "/home/tensorflow/.local/lib/python3.6/site-packages/tensorflow/python/framework/load_library.py", line 154, in load_library
py_tf.TF_LoadLibrary(lib)
tensorflow.python.framework.errors_impl.NotFoundError: /usr/local/lib/python3.6/dist-packages/tensorflow/core/kernels/libtfkernel_sobol_op.so: undefined symbol: _ZN10tensorflow8OpKernel11TraceStringEPNS_15OpKernelContextEb
So there is a question about this in stackoverflow see: Also a followup at:
It says, if i understand correctly, to uninstall and install tensorflow again, but it does not work.
The version is 2.6.1. If i try to downgrade i run into all kind of other problems.
I am stuck ;-(, any clues ?
I am working on a VPS, is it possible to run the tensorflow docker on 'normal' hardware ?
