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An PyTorch implementation of Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
hi:
Thank you very much! I encountered the following problem while running the code, requesting help.
TypeError: forward() missing 1 required positional argument: 'lf_data'
Thank you very much. I would welcome if you can share the 1d version of OctConv as well.
This is exactly what I need!
Thanks for the reproduction!
首先非常感谢作者的工作!
但我在运行你代码做分类工作时发现了损失很高,准确率一直很低的现象,希望作者大大能指导一下?
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