Load a state dict file — load_state

This function should only be used to load models saved in python. For it to work correctly you need to use torch.save with the flag: _use_new_zipfile_serialization=True and also remove all nn.Parameter classes from the tensors in the dict.

Usage

load_state_dict(path, ..., legacy_stream = FALSE)

Arguments

path: to the state dict file
...: additional arguments that are currently not used.
legacy_stream: if TRUE then the state dict is loaded using a a legacy way of handling streams.

Value

a named list of tensors.

Details

The above might change with development of this in pytorch's C++ api.