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road_segmentation_pytorch's Issues

BN层报错

gap = self.bn1(gap)

这里在使用BN层时,由于在上游使用了:
F.adaptive_avg_pool2d(gap, 1)

因此shape会变成[n,c,1,1],这样在BN层中会报错:
Expected more than 1 value per channel when training, got input size torch.Size([1, 32, 1, 1])

请问您是如何处理的,谢谢。

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