![]() ![]() Wrapper for C++ torch::jit::Module with methods, attributes, and parameters.įunctionally equivalent to a ScriptModule, but represents a single function and does not have any attributes or Parameters.įreeze ScriptModule, inline submodules, and attributes as constants. Trace a module and return an executable ScriptModule that will be optimized using just-in-time compilation.Ĭreate an asynchronous task executing func and a reference to the value of the result of this execution.įorce completion of a asynchronous task, returning the result of the task. Trace a function and return an executable or ScriptFunction that will be optimized using just-in-time compilation.Ĭompiles fn when it is first called during tracing. The model via TorchScript to a production environment where Python programs may be disadvantageousįor performance and multi-threading reasons.įor a gentle introduction to TorchScript, see the Introduction to TorchScript tutorial.įor an end-to-end example of converting a PyTorch model to TorchScript and running it in C++, see the This makes it possible to train models in PyTorch using familiar tools in Python and then export To a TorchScript program that can be run independently from Python, such as in a standalone C++ program. We provide tools to incrementally transition a model from a pure Python program Process and loaded in a process where there is no Python dependency. TorchScript is a way to create serializable and optimizable models from PyTorch code.Īny TorchScript program can be saved from a Python Migrating to PyTorch 1.2 Recursive Scripting API Extending torch.func with autograd.Function.CPU threading and TorchScript inference.CUDA Automatic Mixed Precision examples. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |