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onnx-extended 0.2.0 documentation
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onnx-extended 0.2.0 documentation
  • Tutorial
    • Useful commands on Linux
    • Using C implementation of operator Conv
    • Build with cython
    • Build with pybind11
    • Build with CUDA
    • Build with onnxruntime
    • Measuring CPU performance
    • Measuring CPU performance with a vector sum
    • Measuring CPU performance with a parallelized vector sum
    • Measuring CPU performance with a parallelized vector sum and AVX
    • Measuring CPU/GPU performance with a vector sum
    • Measuring onnxruntime performance
    • Measuring performance about Gemm
    • How float format has an impact on speed computation
  • API
    • ortcy
    • ortops
    • reference
    • validation
  • Example gallery
    • Measuring CPU performance with a vector sum
    • Measuring CPU performance with a parallelized vector sum
    • Measuring onnxruntime performance
    • Measuring CPU performance with a parallelized vector sum and AVX
    • Using C implementation of operator Conv
    • Measuring CPU performance
    • Measuring CPU/GPU performance with a vector sum
    • How float format has an impact on speed computation
    • Measuring performance about Gemm
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Example gallery#

A couple of examples to illustrate different implementation of dot product (see also sphinx-gallery).

Measuring CPU performance with a vector sum

Measuring CPU performance with a vector sum

Measuring CPU performance with a parallelized vector sum

Measuring CPU performance with a parallelized vector sum

Measuring onnxruntime performance

Measuring onnxruntime performance

Measuring CPU performance with a parallelized vector sum and AVX

Measuring CPU performance with a parallelized vector sum and AVX

Using C implementation of operator Conv

Using C implementation of operator Conv

Measuring CPU performance

Measuring CPU performance

Measuring CPU/GPU performance with a vector sum

Measuring CPU/GPU performance with a vector sum

How float format has an impact on speed computation

How float format has an impact on speed computation

Measuring performance about Gemm

Measuring performance about Gemm

Download all examples in Python source code: auto_examples_python.zip

Download all examples in Jupyter notebooks: auto_examples_jupyter.zip

Gallery generated by Sphinx-Gallery

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