Closed razor1179 closed 5 years ago
To my knowledge, we haven't tried to implement binarized NN in pytorch-Kaldi. Nonetheless, following the "How can I plug-in my model?" section of the readme, you can find everything you need to know to plug your own model based on other pytorch implementations of BNN such as https://github.com/itayhubara/BinaryNet.pytorch.
This model is not implemented in the current version. However, if someone implements it we can definitely add it into the toolkit!
Have there been any attempts at implementing in training quantization, like that in "Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1" using pytorch-kaldi? If not can the admin provide direction on how to proceed to obtain in-training quantization?