Overview

This guide will show our users how to use the TensorFlow Profiler to profile the execution of your TensorFlow code.

Code example

Copy and paste the following code into tf-profile.py.

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1. Run the code with command 

   Code Block
   language bash
   python tf-profile.py

   
   

2. Compress the logs folder 

   Code Block
   language bash
   tar -zcvf ./logs.tar.gz ./logs

   
   

3. Download the tarball file with sftp and/or hal-ondemand.

4. Decompress the tarball file

   Code Block
   language bash
   tar -zxvf ./logs.tar.gz

   
   

5. Install the tensorboard profile plugin in your python environment.

   Code Block
   language bash
   pip install tensorboard_plugin_profile

   
   

6. Launch the tensorboard with profiler installed.

   Code Block
   language bash
   tensorboard --logdir ./logs

   
   

7. Open the tensorboard dashboard in your web browser. (Google Chrome is strongly recommended)Image Added

Remote Profiling on HAL system

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