resnext_quant.rst 786 B

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  1. Quantized ResNeXt
  2. =================
  3. .. currentmodule:: torchvision.models.quantization
  4. The quantized ResNext model is based on the `Aggregated Residual Transformations for Deep Neural Networks <https://arxiv.org/abs/1611.05431v2>`__
  5. paper.
  6. Model builders
  7. --------------
  8. The following model builders can be used to instantiate a quantized ResNeXt
  9. model, with or without pre-trained weights. All the model builders internally
  10. rely on the ``torchvision.models.quantization.resnet.QuantizableResNet``
  11. base class. Please refer to the `source code
  12. <https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/resnet.py>`_
  13. for more details about this class.
  14. .. autosummary::
  15. :toctree: generated/
  16. :template: function.rst
  17. resnext101_32x8d
  18. resnext101_64x4d