Saves an object to a disk file. ... A common PyTorch convention is to save tensors using .pt file extension. ... PyTorch preserves storage sharing ...

The saved module serializes all of the methods, submodules, parameters, and attributes of this module. It can be loaded into the C++ API using torch::jit::load( ...

All previously saved modules, no matter their device, are first loaded onto CPU, and then are moved to the devices they were saved from.

and then load_state_dict() to avoid GPU RAM surge when loading a model checkpoint.

Buffers, by default, are persistent and will be saved alongside parameters.

Saves given tensors for a future call to backward() . save_for_backward should be called at most once, only from inside the forward() method, and only with ...

If you use torch.save on one process to checkpoint the module, ...

Buffers, by default, are persistent and will be saved alongside parameters.

Given input model and a state_dict containing model observer stats, load the stats back into the model. The observer state_dict can be saved using ...

The call `debugger` cannot be saved since it calls into Python ...