What are the differences between TorchScript and PyTorch?
TorchScript is a way to create serializable and optimizable models from PyTorch code. While PyTorch is primarily used for research and development, TorchScript allows for production deployment.
Can you explain how TorchScript improves performance?
TorchScript improves performance by enabling optimizations that are not possible in standard PyTorch, such as ahead-of-time compilation and graph optimizations.
Are there any limitations to using TorchScript?
Yes, some limitations include the inability to use certain Python features and libraries that are not supported in the TorchScript environment.
When should I use TorchScript instead of PyTorch?
You should use TorchScript when you need to deploy your model in a production environment where performance and serialization are critical.
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