26 lines
786 B
ReStructuredText
26 lines
786 B
ReStructuredText
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
|