wide_resnet101_2¶

paddle.vision.models. wide_resnet101_2 ( pretrained=False, **kwargs ) [source]

Wide ResNet-101-2 model from “Wide Residual Networks”.

Parameters

• pretrained (bool, optional) – Whether to load pre-trained weights. If True, returns a model pre-trained on ImageNet. Default: False.

• **kwargs (optional) – Additional keyword arguments. For details, please refer to ResNet.

Returns

Layer. An instance of Wide ResNet-101-2 model.

Examples

import paddle
from paddle.vision.models import wide_resnet101_2

# build model
model = wide_resnet101_2()

# build model and load imagenet pretrained weight
# model = wide_resnet101_2(pretrained=True)

x = paddle.rand([1, 3, 224, 224])
out = model(x)

print(out.shape)
# [1, 1000]