[SOLVED] Segmentation fault (core dumped)

Segmentation fault (core dumped) - TFLite

Describe the problem

To read a model from official TensorFlow source (COCO SSD MobileNet v1) and perform inference with minimal.cc, we get the error below.

System information

Host OS Platform and Distribution : Linux Ubuntu 16.04
TensorFlow installed from (source or binary): From source (branch r1.12)
Target platform: iMX.6 (Arm v7)

Please provide the exact sequence of commands/steps when you ran into the problem

root@analytics:~# ./minimal ssd_mobilenet_v1_1_metadata_1.tflite
minimal: /usr/src/debug/tensorflow-lite/1.0-r0/git/tensorflow/contrib/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/util/
MaxSizeVector.h:84: T& EigenForTFLite::MaxSizeVector<T>::operator[](std::size_t) [with T = EigenForTFLite::RunQueue
<EigenForTFLite::StlThreadEnvironment::Task, 1024u>*; std::size_t = unsigned int]: 
Assertion `i < size_' failed. 
Segmentation fault (core dumped)

Do you have any idea or suggestion about why we are facing this error (because of versions, TFlite binaries or the model etc.) ? Thank you in advance.

Solution

Looks like the TensorFlow Lite version is too old to be supported. Please consider using TF 2.5 or beyonds.