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add comments for the modified implementation of ResNet (#1983) #2424

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add comments for the modified implementation of ResNet (#1983) #2424

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6 changes: 6 additions & 0 deletions torchvision/models/resnet.py
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Expand Up @@ -74,6 +74,12 @@ def forward(self, x):


class Bottleneck(nn.Module):
# Bottleneck in torchvision places the stride for downsampling at 3x3 convolution(self.conv2)
# while original implementation places the stride at the first 1x1 convolution(self.conv1)
# according to "Deep residual learning for image recognition"https://arxiv.org/abs/1512.03385.
# This variant is also known as ResNet V1.5 and improves accuracy according to
# https://ngc.nvidia.com/catalog/model-scripts/nvidia:resnet_50_v1_5_for_pytorch.

expansion = 4
__constants__ = ['downsample']

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