mirror of
https://github.com/saymrwulf/onnxruntime.git
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a0f3e30de6
* initial setup and rename "how to" to "setup" * move API to main nav * move api to main nav * add get starated, rework nav order * rename to install move mds out of install section * update api nav and home page * add install docs and python qs updates * python get started work * remove c and obj c for now * move java, python, and obj-c docs under api folder * move java api html to iframe (ugh) * remove api docs w/o details, move api text getstar * remove api docs wo detail updates get started * remvoe iframes * move eco system to main nav * fix api buttons * added more examples moved intro to ORT * fix links * fix get started titles * fix get started titles * fix more links * fix more links * more link fixes * fix nav remove inferencing and training subnav * fix top nav remove inference and training nav * fix title * fix tutorials nav hierarchy * fix python api button * add tenorflow keras example * fix quickstart toc * add imports fix spacing * fix links * update nav and python get started page * move ort training example, add coming soon for iot * update C# get started * fix spacing on quantization * Add some js get started content * fix formatting * fix typo * removed onnx-pytorch and onnx-tf * updated pip install torch and added links iot page * added pytorch tutorial heirarchy * updated web to docs soon added release blog link * add web link
171 lines
3.6 KiB
ReStructuredText
171 lines
3.6 KiB
ReStructuredText
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.. DO NOT EDIT.
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.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
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.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
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.. "auto_examples/plot_backend.py"
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.. LINE NUMBERS ARE GIVEN BELOW.
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.. only:: html
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.. note::
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:class: sphx-glr-download-link-note
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Click :ref:`here <sphx_glr_download_auto_examples_plot_backend.py>`
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to download the full example code
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.. rst-class:: sphx-glr-example-title
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.. _sphx_glr_auto_examples_plot_backend.py:
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.. _l-example-backend-api:
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ONNX Runtime Backend for ONNX
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=============================
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*ONNX Runtime* extends the
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`onnx backend API <https://github.com/onnx/onnx/blob/master/docs/ImplementingAnOnnxBackend.md>`_
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to run predictions using this runtime.
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Let's use the API to compute the prediction
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of a simple logistic regression model.
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.. GENERATED FROM PYTHON SOURCE LINES 17-35
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.. code-block:: default
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import numpy as np
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from onnxruntime import datasets
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from onnxruntime.capi.onnxruntime_pybind11_state import InvalidArgument
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import onnxruntime.backend as backend
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from onnx import load
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name = datasets.get_example("logreg_iris.onnx")
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model = load(name)
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rep = backend.prepare(model, 'CPU')
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x = np.array([[-1.0, -2.0]], dtype=np.float32)
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try:
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label, proba = rep.run(x)
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print("label={}".format(label))
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print("probabilities={}".format(proba))
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except (RuntimeError, InvalidArgument) as e:
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print(e)
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.. rst-class:: sphx-glr-script-out
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Out:
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.. code-block:: none
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[ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Got invalid dimensions for input: float_input for the following indices
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index: 0 Got: 1 Expected: 3
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Please fix either the inputs or the model.
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.. GENERATED FROM PYTHON SOURCE LINES 36-38
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The device depends on how the package was compiled,
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GPU or CPU.
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.. GENERATED FROM PYTHON SOURCE LINES 38-41
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.. code-block:: default
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from onnxruntime import get_device
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print(get_device())
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.. rst-class:: sphx-glr-script-out
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Out:
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.. code-block:: none
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CPU
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.. GENERATED FROM PYTHON SOURCE LINES 42-44
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The backend can also directly load the model
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without using *onnx*.
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.. GENERATED FROM PYTHON SOURCE LINES 44-54
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.. code-block:: default
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rep = backend.prepare(name, 'CPU')
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x = np.array([[-1.0, -2.0]], dtype=np.float32)
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try:
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label, proba = rep.run(x)
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print("label={}".format(label))
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print("probabilities={}".format(proba))
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except (RuntimeError, InvalidArgument) as e:
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print(e)
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.. rst-class:: sphx-glr-script-out
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Out:
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.. code-block:: none
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[ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Got invalid dimensions for input: float_input for the following indices
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index: 0 Got: 1 Expected: 3
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Please fix either the inputs or the model.
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.. GENERATED FROM PYTHON SOURCE LINES 55-58
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The backend API is implemented by other frameworks
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and makes it easier to switch between multiple runtimes
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with the same API.
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 0 minutes 0.019 seconds)
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.. _sphx_glr_download_auto_examples_plot_backend.py:
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.. only :: html
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.. container:: sphx-glr-footer
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:class: sphx-glr-footer-example
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.. container:: sphx-glr-download sphx-glr-download-python
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:download:`Download Python source code: plot_backend.py <plot_backend.py>`
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.. container:: sphx-glr-download sphx-glr-download-jupyter
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:download:`Download Jupyter notebook: plot_backend.ipynb <plot_backend.ipynb>`
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.. only:: html
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.. rst-class:: sphx-glr-signature
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`Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
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