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Summary, Code for Deep Neural Network Quantization
Hello, thanks for your re-implementation of Quantization methods. I have a question about the gradients of TTQ. The gradient of the scale coefficient is the mean of pos/neg weights gradient in your code.
But I found that the official tensorflow code TernaryNet set the gradient of the scale coefficient to the sum of pos/neg weights gradient. Is it a bug or is it for some other reasons?
Thanks a lot.
Hi, I just came across your repo and decided to dig into this! ๐
But most of your work seems to be for images or NLP, and my project is for audio applications, where the input and output are both waveforms of shape (batch, number_of_channels, number_of_samples)
.
Do you have any suggestions, like which model implemented in your repo I could start on?
Could you tell me the pytorch vision of this code?
Thank you!
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