Forums - snpe-tensorflow-to-dlc ssd_mobilenet_v1 model conversion issue

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snpe-tensorflow-to-dlc ssd_mobilenet_v1 model conversion issue
senthilnathan.s...
Join Date: 19 Sep 18
Posts: 1
Posted: Fri, 2019-02-01 13:41
I followed the SNPE  tensorflow model conversion procedure as explained here https://developer.qualcomm.com/docs/snpe/convert_mobilenetssd.html  (i also downloaded the model from the link provided here)
 
But i get the following issue. 
 
$snpe-tensorflow-to-dlc --graph ssd_mobilenet_v1_coco_2017_11_17/frozen_inference_graph.pb -i Preprocessor/sub 1,300,300,3 --out_node detection_classes --out_node detection_boxes --out_node detection_scores --dlc mobilenet_ssd.dlc --allow_unconsumed_nodes
 
: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
: F tensorflow/compiler/jit/deadness_analysis.cc:639] Check failed: it != predicate_map_.end() _SINK
Aborted (core dumped)
 
 
Here is my enviroment.
Ubuntu 14.04
python 2.7
pip 19.0
virtualenv 16.2.0
tensorflow 1.12.0

 

What is going wrong?

Senthil.

 

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gesqdn-forum
Join Date: 4 Nov 18
Posts: 68
Posted: Tue, 2019-02-05 01:58
It looks like your SNPE setup is not compatible with the latest version of TensorFlow or may be the source tree of TensorFlow is the mismatch. I have the setup using TensorFlow 1.11 on Ubuntu 16.04 and SNPE 1.21.0, which is successfully converting the model. Can you try with version 1.11 TensorFlow and clone the TensorFlow repo again. Initialize the environmental variables with TensorFlow source tree, running the below command -
source bin/envsetup.sh -t $TENSORFLOW_DIR
Once done, try converting the model.
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