gan-compression
gan-compression copied to clipboard
gan compression on tensorflow
Hi,
I wanted to implement GAN compression on TensorFlow so I can use it on a mobile application. I'm pretty new to this field and I'm not aware of the challenges of doing something like this might have. Should I implement the whole thing on Tensorflow myself? would it be as fast as it is in Pytorch? Or should I convert the pytorch model to tensorflow with onnx? I would really appreciate any help
Cool! I think you could first convert the pytorch model to tensorflow with onnx first. I am not familiar with tensorflow, so currently I could not predict what kind of challenges you may meet. If you have any questions, feel free to open issues here.
@sepideh-srj As far as i know, you can train and compress your model with Pytorch and than convert the Pytorch model to tensorflow or tflite model, it will be the simplest way.