o s h2 @s:ddlZddlmZmZmZddlZddlZddl mZm Z ddee ej fdeee e fde fddZ ddee ej fd ee ejfdeee e fddfd d Zd e dee ej ffd dZd ee ejfdee ej ffddZdee ejfdee ej ffddZdee ej fdee ejffddZdS)N)DictOptionalUnion)numpy safe_opentensorsmetadatareturncCst|}tj||dS)a+ Saves a dictionary of tensors into raw bytes in safetensors format. Args: tensors (`Dict[str, tf.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.tensorflow import save import tensorflow as tf tensors = {"embedding": tf.zeros((512, 1024)), "attention": tf.zeros((256, 256))} byte_data = save(tensors) ``` r)_tf2nprsave)rr np_tensorsrj/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/safetensors/tensorflow.pyr sr filenamecCst|}tj|||dS)ao Saves a dictionary of tensors into raw bytes in safetensors format. Args: tensors (`Dict[str, tf.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.tensorflow import save_file import tensorflow as tf tensors = {"embedding": tf.zeros((512, 1024)), "attention": tf.zeros((256, 256))} save_file(tensors, "model.safetensors") ``` r )r r save_file)rrrr rrrr'srdatacCst|}t|S)a Loads a safetensors file into tensorflow format from pure bytes. Args: data (`bytes`): The content of a safetensors file Returns: `Dict[str, tf.Tensor]`: dictionary that contains name as key, value as `tf.Tensor` on cpu Example: ```python from safetensors.tensorflow import load file_path = "./my_folder/bert.safetensors" with open(file_path, "rb") as f: data = f.read() loaded = load(data) ``` )rload_np2tf)rflatrrrrJs rcCsRi}t|dd}|D] }||||<q Wd|S1s"wY|S)a Loads a safetensors file into tensorflow format. Args: filename (`str`, or `os.PathLike`)): The name of the file which contains the tensors Returns: `Dict[str, tf.Tensor]`: dictionary that contains name as key, value as `tf.Tensor` Example: ```python from safetensors.tensorflow import load_file file_path = "./my_folder/bert.safetensors" loaded = load_file(file_path) ``` tf) frameworkN)rkeys get_tensor)rresultfkrrr load_filees  r numpy_dictcCs$|D] \}}t|||<q|SN)itemsrconvert_to_tensor)rrvrrrrsrtf_dictcCs"|D] \}}|||<q|Sr)r r)r#rr"rrrr sr r)ostypingrrrrnp tensorflowr safetensorsrstrTensorbytesr PathLikerrrndarrayrarrayr rrrrs(.    #&&*