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I don't exactly understand your argument. Are you saying polyglot is better, and leads to dominance? Are you saying, TensorFlow is more polyglot than PyTorch?
by albertzeyer 4y ago
I don't exactly understand your argument.
Are you saying polyglot is better, and leads to dominance?
Are you saying, TensorFlow is more polyglot than PyTorch? Or if not, isn't that what your quote says, though? TF supports much more languages. Or what do you mean by polyglot?
But then, this would imply that TensorFlow would dominate over PyTorch? But the article says the opposite?
- pjmlp 4y agoYes, polyglot is better, and leads to dominance. Yes, TensorFlow is more polyglot than PyTorch.
- lairv 4y agoI'm not sure polyglot really matters for Deep Learning frameworks, for inference you can already export your model to a standard format like .onnx and have it run on about about any runtime, mobile and web included. Sure you can't train your models in javascript with pytorch, but not sure you want to use any other language than python for that, since python already has all the ecosystem
- est 4y ago> polyglot is better, and leads to dominance I'd argue polyglot is only better when alternaives offer benifits. Like polyglot cloud providers you can mix prices, polyglot program runtimes you get multi-OS support, polyglot ORM you can migrate to new DB with shiny features. What do you gain by polyglot ML models out of Python?