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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 ?
- Tags:
- Tensorflow
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Hi @Osama1995
What CPU are you running on? It looks like your CPU doesn't support AVX instructions, which is what the newer versions of Tensorflow use (v1.6 and later). Do you know what version of Tensorflow was installed on your computer? Uninstall any previously installed TF and then install any TF version lower than 1.6 and try again (v1.5 is a good option). Please let me know if this information was helpful!
Best Regards,
Sahira
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