Script the function.

Trace a function and return an executable or ScriptFunction that will be optimized using just-in-time compilation.

Compiles fn when it is first called during tracing.

Trace a module and return an executable ScriptModule that will be optimized using just-in-time compilation.

Create an asynchronous task executing func and a reference to the value of the result of this execution.

Force completion of a torch.jit.Future[T] asynchronous task, returning the result of the task.

Wrapper for C++ torch::jit::Module with methods, attributes, and parameters.

Functionally equivalent to a ScriptModule, but represents a single function and does not have any attributes or Parameters.

Freeze ScriptModule, inline submodules, and attributes as constants.

Perform a set of optimization passes to optimize a model for the purposes of inference.

Enable or disables onednn JIT fusion based on the parameter enabled.

Return whether onednn JIT fusion is enabled.

Set the type and number of specializations that can occur during fusion.

Give errors if not all nodes have been fused in inference, or symbolically differentiated in training.

Save an offline version of this module for use in a separate process.

Load a ScriptModule or ScriptFunction previously saved with torch.jit.save.

This decorator indicates to the compiler that a function or method should be ignored and left as a Python function.

This decorator indicates to the compiler that a function or method should be ignored and replaced with the raising of an exception.

Decorate to annotate classes or modules of different types.

Provide container type refinement in TorchScript.

This method is a pass-through function that returns value, mostly used to indicate to the TorchScript compiler that the left-hand side expression is a class instance attribute with type of type.

Use to give type of the_value in TorchScript compiler.