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tensorplay.serialization
Functions
load() [source]
python
load(f, map_location=None, pickle_module=<module 'pickle' from 'E:\\Miniconda\\Lib\\pickle.py'>, **pickle_load_args)Loads an object saved with tensorplay.save() from a file. Supports .tpm, .safetensors, and .pth (via torch).
Args
- f: a file-like object (has to implement read, readline, tell, and seek), or a string containing a file name.
- map_location: a function, torch.device, string or a dict specifying how to remap storage locations
- pickle_module: module used for unpickling metadata and objects
- pickle_load_args: (optional) keyword arguments passed to pickle_module.load
save() [source]
python
save(obj, f, pickle_module=<module 'pickle' from 'E:\\Miniconda\\Lib\\pickle.py'>, pickle_protocol=2, _use_new_zipfile_serialization=True)Saves an object to a disk file. Supports .tpm (TensorPlay Model) and .safetensors (Safetensors).