Helloo,
I have a question of bit general. I am wondering why people say TensorFlow is better than PyTorch  in deployment? Because I see a lot of companies integrating their deep learning models in their base code using Pytorch!
Because at the end all you need is an input, and you shall give back an output for further processing. Botch frameworks support multi-gpo/cpu computing. So the question is why, or what do people actually mean by deployment? it would be better If someone gives a concrete example with technical details.
Thank you