o s hO @sDddlZddlmZmZmZddlZddlZddlmZddee ej fdeee e fde fddZ ddee ej fd ee ej fdeee e fddfd d Zdd e de dee ej ffddZdd ee ej fdee ej ffddZddee ejfde dee ej ffddZdee ej fdee ejffddZdS)N)DictOptionalUnion)numpytensorsmetadatareturncCst|}tj||dS)a) Saves a dictionary of tensors into raw bytes in safetensors format. Args: tensors (`Dict[str, paddle.Tensor]`): The incoming tensors. Tensors need to be contiguous and dense. metadata (`Dict[str, str]`, *optional*, defaults to `None`): Optional text only metadata you might want to save in your header. For instance it can be useful to specify more about the underlying tensors. This is purely informative and does not affect tensor loading. Returns: `bytes`: The raw bytes representing the format Example: ```python from safetensors.paddle import save import paddle tensors = {"embedding": paddle.zeros((512, 1024)), "attention": paddle.zeros((256, 256))} byte_data = save(tensors) ``` r) _paddle2nprsave)rr np_tensorsr f/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/safetensors/paddle.pyr sr filenamecCst|}tj|||dS)am Saves a dictionary of tensors into raw bytes in safetensors format. Args: tensors (`Dict[str, paddle.Tensor]`): The incoming tensors. Tensors need to be contiguous and dense. filename (`str`, or `os.PathLike`)): The filename we're saving into. metadata (`Dict[str, str]`, *optional*, defaults to `None`): Optional text only metadata you might want to save in your header. For instance it can be useful to specify more about the underlying tensors. This is purely informative and does not affect tensor loading. Returns: `None` Example: ```python from safetensors.paddle import save_file import paddle tensors = {"embedding": paddle.zeros((512, 1024)), "attention": paddle.zeros((256, 256))} save_file(tensors, "model.safetensors") ``` r )r r save_file)rrrr r r rr'srcpudatadevicecCst|}t||S)a Loads a safetensors file into paddle format from pure bytes. Args: data (`bytes`): The content of a safetensors file Returns: `Dict[str, paddle.Tensor]`: dictionary that contains name as key, value as `paddle.Tensor` on cpu Example: ```python from safetensors.paddle import load file_path = "./my_folder/bert.safetensors" with open(file_path, "rb") as f: data = f.read() loaded = load(data) ``` )rload _np2paddle)rrflatr r rrJs  rcCst|}t||}|S)a Loads a safetensors file into paddle format. Args: filename (`str`, or `os.PathLike`)): The name of the file which contains the tensors device (`Union[Dict[str, any], str]`, *optional*, defaults to `cpu`): The device where the tensors need to be located after load. available options are all regular paddle device locations Returns: `Dict[str, paddle.Tensor]`: dictionary that contains name as key, value as `paddle.Tensor` Example: ```python from safetensors.paddle import load_file file_path = "./my_folder/bert.safetensors" loaded = load_file(file_path) ``` )r load_filer)rrroutputr r rres  r numpy_dictcCs(|D] \}}tj||d||<q|S)N)place)itemspaddle to_tensor)rrkvr r rrsr paddle_dictcCs*|D]\}}|||<q|SN)rdetachrr)r rrr r rr sr r!)r)ostypingrrrrnpr safetensorsstrTensorbytesr PathLikerrrndarrayrarrayr r r r rs( .    "#(,*