K i? ddlZddlmZmZmZddlZddlZddl mZm Z  ddee ejfdeee e fde fdZ ddee ejfdee ejfdeee e fddfd Zd e dee ejffd Zdee ejfdee ejffd Zd ee ej&fdee ejffdZdee ejfdee ej*ffdZy)N)DictOptionalUnion)numpy safe_opentensorsmetadatareturncFt|}tj||S)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_tensorss \/mnt/ssd/data/python-lab/Trading/venv/lib/python3.12/site-packages/safetensors/tensorflow.pyrr s6J ::j8 44filenamecHt|}tj|||S)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)rrr rs rrr)s >J ??:x( CCrdatacBtj|}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)rflats rrrLs. ::d D $<rci}t|d5}|jD]}|j|||< ddd|S#1swY|SxYw)a Loads a safetensors file into tensorflow format. Args: filename (`str`, or `os.PathLike`)): The name of the file which contains the tensors Returns: `Dict[str, tf.Tensor]`: dictionary that contains name as key, value as `tf.Tensor` Example: ```python from safetensors.tensorflow import load_file file_path = "./my_folder/bert.safetensors" loaded = load_file(file_path) ``` tf) frameworkN)r offset_keys get_tensor)rresultfks r load_filer"gsY(F 8t ,( (A QF1I (( M( Ms *AA numpy_dictcf|jD]\}}tj|||<|SN)itemsrconvert_to_tensor)r#r!vs rrrs8  "01,,Q/ 1 0 rtf_dictc\|jD]\}}|j||<|Sr%)r&r)r)r!r(s rr r s/ 1WWY  Nrr%)ostypingrrrrnp tensorflowr safetensorsrstrTensorbytesrPathLikerrr"ndarrayrarrayr rrr7sZ (((IM5 #ryy. !5-5d38n-E5 5D*. D #ryy. ! DC$% DtCH~& D DFuc299n-6c2;;./Dbii4H6tCO,c299n1E Dbii(T#rxx--@r