Simplify your onnx model (by daquexian)

Onnx-simplifier Alternatives

Similar projects and alternatives to onnx-simplifier

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better onnx-simplifier alternative or higher similarity.

onnx-simplifier reviews and mentions

Posts with mentions or reviews of onnx-simplifier. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-20.
  • Show: Cross-platform Image segmentation on video using eGUI, onnxruntime and ffmpeg
    2 projects | /r/rust | 20 Nov 2022
    onnx-simplifier can shed some of incompatibilities in widespread use, but is itself bug ridden and lagging behind the standard. For any serious model, or when you don't get lucky simplifying the model upstream, you'd generally want good support of opset 11.
  • [Technical Article] OCR Upgrade
    8 projects | /r/deepin | 12 Jun 2022
    ONNX Simplifier:https://github.com/daquexian/onnx-simplifier
  • PyTorch 1.10
    8 projects | news.ycombinator.com | 22 Oct 2021
    As far as I know, the ONNX format won't give you a performance boost on its own. However, there are ONNX optimizers for the ONNX runtime which will speed up your inference.

    But if you are using Nvidia Hardware, then TensorRT should give you the best performance possible, especially if you change the precision level. Don't forget to simplify your ONNX model before you converting it to TensorRT though: https://github.com/daquexian/onnx-simplifier

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    www.influxdata.com | 29 May 2024
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