.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_auto_examples_plot_profiling.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_profiling.py:



.. _l-example-profiling:

Profile the execution of a simple model
=======================================

*ONNX Runtime* can profile the execution of the model.
This example shows how to interpret the results.



.. code-block:: python


    import onnxruntime as rt
    import numpy
    from onnxruntime.datasets import get_example







Let's load a very simple model and compute some prediction.



.. code-block:: python


    example1 = get_example("mul_1.onnx")
    sess = rt.InferenceSession(example1)
    input_name = sess.get_inputs()[0].name

    x = numpy.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]], dtype=numpy.float32)
    res = sess.run(None, {input_name: x})
    print(res)





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    [array([[ 1.,  4.],
           [ 9., 16.],
           [25., 36.]], dtype=float32)]


We need to enable to profiling
before running the predictions.



.. code-block:: python


    options = rt.SessionOptions()
    options.enable_profiling = True
    sess_profile = rt.InferenceSession(example1, options)
    input_name = sess.get_inputs()[0].name

    x = numpy.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]], dtype=numpy.float32)

    sess.run(None, {input_name: x})
    prof_file = sess_profile.end_profiling()
    print(prof_file)





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    onnxruntime_profile__2019-12-19_16-47-06.json


The results are stored un a file in JSON format.
Let's see what it contains.



.. code-block:: python

    import json
    with open(prof_file, "r") as f:
        sess_time = json.load(f)
    import pprint
    pprint.pprint(sess_time)


    




.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    [{'args': {},
      'cat': 'Session',
      'dur': 100,
      'name': 'model_loading_from_saved_proto',
      'ph': 'X',
      'pid': 27824,
      'tid': 13820,
      'ts': 10},
     {'args': {},
      'cat': 'Session',
      'dur': 200,
      'name': 'session_initialization',
      'ph': 'X',
      'pid': 27824,
      'tid': 13820,
      'ts': 123}]


**Total running time of the script:** ( 0 minutes  0.027 seconds)


.. _sphx_glr_download_auto_examples_plot_profiling.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_profiling.py <plot_profiling.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_profiling.ipynb <plot_profiling.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_