Instance Normalization在测试时均值和方差从哪里来？ - 知乎 但在pytorch里，torch nn InstanceNorm2d也有track_running_stats参数，track_running_stats=True时，此时训练时会计算滑动平均值并保存，测试时不单独计算，而是直接使用保存好的90个滑动均值和90个滑动方差。
Transformer中的LayerNorm就是InstanceNorm吗？ - 知乎 InstanceNorm2d and LayerNorm are very similar, but have some subtle differences InstanceNorm2d is applied on each channel of channeled data like RGB images, but LayerNorm is usually applied on entire sample and often in NLP tasks Additionally, LayerNorm applies elementwise affine transform, while InstanceNorm2d usually don’t apply affine transform InstanceNorm2d — PyTorch 1 10 0