o 2hp @sdZddlZddlmZddlmZddlmZddlmZddlm Z ddlm Z dd lm Z dd lm Z dd lm Z dd lmZdd lmZddlmZddlmZddlmZddlmZddlmZeee e e e e eeeef ZefZeaddZddZdddZdS)z/Layer serialization/deserialization functions. N)tf2) base_layer) input_layer) input_spec)advanced_activations) convolutional)convolutional_recurrent)core)dense_attention) embeddings)merge)pooling) recurrent)rnn_cell_wrapper_v2) generic_utils) tf_inspectcs,ttds it_dt_tjrtjtkrdSit_tt_tjtj tjt fdddtr@tj tjt fdddddl m }tjtjd <tjtjd <|jtjd <|jtjd <|jtjd <tjtjd<tjtjd<tjtjd<tjtjd<tjtjd<tjtjd<tjtjd<tjtjd<dS)z8Populates dict ALL_OBJECTS with every built-in layer. ALL_OBJECTSNct|o t|SNinspectisclass issubclassxbase_clsg/var/www/html/chatgem/venv/lib/python3.10/site-packages/tensorflow/python/keras/layers/serialization.pyDz1populate_deserializable_objects..) obj_filtercrrrrrrrrKr rmodelsInput InputSpec FunctionalModel Sequentialaddsubtractmultiplyaveragemaximumminimum concatenatedot)hasattrLOCALrGENERATED_WITH_V2renabledrLayerr!populate_dict_with_module_objects ALL_MODULESALL_V2_MODULEStensorflow.python.kerasr#rr$rr%r&r'r(r r)r*r+r,r-r.r/r0r"rrrpopulate_deserializable_objects0sB                 r:cCs t|Sr)rserialize_keras_object)layerrrr serializeas r=cCsttj|tj|ddS)aJInstantiates a layer from a config dictionary. Args: config: dict of the form {'class_name': str, 'config': dict} custom_objects: dict mapping class names (or function names) of custom (non-Keras) objects to class/functions Returns: Layer instance (may be Model, Sequential, Network, Layer...) r<)module_objectscustom_objectsprintable_module_name)r:rdeserialize_keras_objectr2r)configr?rrr deserializees rCr)__doc__ threadingtensorflow.pythonrtensorflow.python.keras.enginerrrtensorflow.python.keras.layersrrrr r r r r rrtensorflow.python.keras.utilsrrrr7r8localr2r:r=rCrrrrs6                1