sglang_v0.5.2/vision_0.22.1/docs/source/models/mobilenetv2_quant.rst

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Quantized MobileNet V2
======================
.. currentmodule:: torchvision.models.quantization
The Quantized MobileNet V2 model is based on the `MobileNetV2: Inverted Residuals and Linear
Bottlenecks <https://arxiv.org/abs/1801.04381>`__ paper.
Model builders
--------------
The following model builders can be used to instantiate a quantized MobileNetV2
model, with or without pre-trained weights. All the model builders internally
rely on the ``torchvision.models.quantization.mobilenetv2.QuantizableMobileNetV2``
base class. Please refer to the `source code
<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/mobilenetv2.py>`_
for more details about this class.
.. autosummary::
:toctree: generated/
:template: function.rst
mobilenet_v2