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我自己测试了一下用nn.Conv2d(16, 64, 1),输入大小是(1, 16, 224, 224),这个参数量只有1088,但是如果用ACmix得到的参数量是8604,这差了快8倍了,但是文章说 “同时与纯卷积或self-attention相比具有最小的计算开销”,好像没有体现,这是咋回事啊?
The text was updated successfully, but these errors were encountered:
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我自己测试了一下用nn.Conv2d(16, 64, 1),输入大小是(1, 16, 224, 224),这个参数量只有1088,但是如果用ACmix得到的参数量是8604,这差了快8倍了,但是文章说 “同时与纯卷积或self-attention相比具有最小的计算开销”,好像没有体现,这是咋回事啊?
The text was updated successfully, but these errors were encountered: