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Quantized ResNeXt

The quantized ResNext model is based on the Aggregated Residual Transformations for Deep Neural Networks 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 for more details about this class.

resnext101_32x8d(*[, weights, progress, …])

ResNeXt-101 32x8d model from Aggregated Residual Transformation for Deep Neural Networks

resnext101_64x4d(*[, weights, progress, …])

ResNeXt-101 64x4d model from Aggregated Residual Transformation for Deep Neural Networks

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