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|rss_image|  **2019-09 - 1/1** :ref:`Blog <ap-main-0>` :ref:`benchmark (4) <ap-cat-benchmark-0>` :ref:`onnx (8) <ap-cat-onnx-0>`

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.. index:: 2019-09


.. _ap-month-2019-09-0:

2019-09 - 1/1
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.. blogpostagg::
    :title: Operator CDist
    :date: 2019-09-16
    :keywords: onnxruntime,cdist
    :categories: onnx
    :rawfile: 2019/2019-09-16_cdist.rst

    Notebooks :ref:`onnxpdistrst` shows how much slower
    an :epkg:`ONNX` implementation of function
    :epkg:`cdist`, from 3 to 10 times slower.
    One way to optimize the converted model is to
    create dedicated operator such as one for function
    :epkg:`cdist`. Tutorial :ref:`l-onnx-tutorial-optim`
    explains how to tell function :func:`to_onnx
    <mlprodict.onnx_conv.convert.to_onnx>` to use
    the custom operator `CDist`.





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|rss_image|  **2019-09 - 1/1** :ref:`2021-08 (3) <ap-month-2021-08-0>` :ref:`2022-02 (1) <ap-month-2022-02-0>` :ref:`2022-05 (1) <ap-month-2022-05-0>` :ref:`2022-06 (1) <ap-month-2022-06-0>` :ref:`2022-11 (1) <ap-month-2022-11-0>`