Jan:

t me suggest the following: add an “issue” in the


Yes we are only trying to run inference, the model has been trained using tfdf python library and exported.
The bazel building seems like it is trying to compile tensorflow core when I added into the tensorflow_io flag:
[775 / 1,124] 4 actions, 2 running
Compiling org_tensorflow/tensorflow/core/framework/node_def_util.cc; 16131s local
Compiling org_tensorflow/tensorflow/core/util/batch_util.cc; 16113s local
[Sched] Compiling org_tensorflow/tensorflow/core/util/tensor_slice_set.cc; 16131s
[Sched] Compiling org_tensorflow/tensorflow/core/util/matmul_autotune.cc; 16113s
I included the tensorflow_io flag because I was getting the filesystem error you guys mentioned below, however mine was not runtime segmentation fault, it was a bazel compiling error.
Segmentation fault when any program starts on std::filesystem::~path()
lstdc++fs is not linked. You are likely using GCC8 without TensorFlow. Update to GCC>=9 or use TensorFlow for IO (--config=use_tensorflow_io).
The compiler’s I have installed are g++ 8.4 & gcc 8.4
I also had to take out the build:linux_avx2 --copt=-mavx2 in the .bazelrc file because mavx2 is not a recognized command. So far I just want to run the beginner.cc model on a raspberry pi. Once I can do that and verify it’s working, I’ll start to integrate my model / project into bazel build system. But I have tried both the standalone beginner.cc example and the default method and both seem to fail. I can also provide my latest logs if that will help.
Little background: our team uses raspberry pi’s for prototyping and demoing. We need to use armv7 because of some older libraries required for the project.