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