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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
The text was updated successfully, but these errors were encountered:
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.
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
The text was updated successfully, but these errors were encountered: