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System information

- Linux Ubuntu 16.04

  • TensorFlow installed from binary (pip install)
  • TensorFlow version:
  • Python version: 3.5
  • Installed using virtualenv? pip? conda?: pip and virtualenv
  • Bazel version (if compiling from source):
  • GCC/Compiler version (if compiling from source):
  • CUDA/cuDNN version:
  • GPU model and memory:

Problem described

i was following the tutorial for using intel neural stick 2 for object detection https://towardsdatascience.com/speed-up-predictions-on-low-power-devices-using-neural-compute-stick-and-openvino-98f3ae9dcf41 in the example i install the prerequisites using the command sudo ./opt/intel/computer_vision_sdk/deployment_tools/model_optimizer/install_prerequisites/install_prerequisites.sh

tensorflow was installed with the prerequisites , i also installed tensorflow using pip install , but when i run the next command

mo_tf.py \ --input_model ~/Downloads/ssd_mobilenet_v1_coco_2018_01_28/frozen_inference_graph.pb \ --tensorflow_use_custom_operations_config /opt/intel/computer_vision_sdk/deployment_tools/model_optimizer/extensions/front/tf/ssd_support.json \ --tensorflow_object_detection_api_pipeline_config ~/Downloads/ssd_mobilenet_v1_coco_2018_01_28/pipeline.config \ --data_type FP16

i get the following error F tensorflow/core/platform/cpu_feature_guard.cc:37] The tensorflow library was compiled to use AVX instructions, but these aren't available in your machine Aborted (core dumped)

i am getting the same error when try and import tensorflow

what should i do to solve this error ?

Osama
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1 Answers1

0

The error message indicates that the machine does not support avx. Is it so? You can refer this link How to tell if a Linux machine supports AVX/AVX2 instructions? to check the same.

If your machine does not support AVX, then the solution would be to build tensorflow from source excluding those settings

Anju Paul - Intel
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