self.avg_pool = nn.AdaptiveAvgPool2d((1, 1))
时间: 2023-10-27 14:07:51 浏览: 47
This code snippet creates an instance of the nn.AdaptiveAvgPool2d module with a target output size of (1, 1).
The AdaptiveAvgPool2d module is used for global average pooling, which is a technique commonly used in convolutional neural networks for image classification. It takes as input a tensor of shape (batch_size, channels, height, width), and computes the average value of each channel across all spatial dimensions (height and width) to produce a tensor of shape (batch_size, channels, 1, 1).
By setting the output size to (1, 1), the module ensures that the resulting tensor has a fixed size regardless of the input size, which can be useful for downstream layers that require a fixed input size.
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