ij1ddlZddlZddlZddlZddlZddlZddlmZddl m Z ddl m Z dZ ddZGddZd ZGd d Ze d d Zy)N)backend) keras_export) global_statectjddrydtjvrddlm}|j Sy)Nin_tf_graph_scopeFT tensorflowr)r)rget_global_attributesysmoduleskeras.src.utils.module_utilsrexecuting_eagerly)tfs r/var/www/html/emotional.easysim.app/public_html/venv/lib/python3.12/site-packages/keras/src/utils/backend_utils.py in_tf_graphr s:(()##// 0ww||GVX}E##//0%,,   rc:eZdZdZddZdZdZedZdZ y) DynamicBackendaFA class that can be used to switch from one backend to another. Example: ```python backend = DynamicBackend("tensorflow") y = backend.square(tf.constant(...)) backend.set_backend("jax") y = backend.square(jax.numpy.array(...)) ``` Args: backend: Initial backend to use (string). Nc>|xstj|_yNrr_backendrrs rrzDynamicBackend.__init__Qs;>#9#9#; rc6|dvrtd|||_y)N)rjaxtorchnumpyopenvinozaAvailable backends are ('tensorflow', 'jax', 'torch', 'numpy' and 'openvino'). Received: backend=) ValueErrorr?r@s r set_backendzDynamicBackend.set_backendTs1 M M>>EYH   rc6tj|_yr=r>rs rresetzDynamicBackend.reset\s&..0 rc|jSr=)r?rs rnamezDynamicBackend.name_s }}rc|jdk(r!tjd}t||S|jdk(r!tjd}t||S|jdk(r!tjd}t||S|jdk(r2t j dk(rtt|St d|jd k(r!tjd }t||Sy) Nrzkeras.src.backend.tensorflowrBzkeras.src.backend.jaxrCzkeras.src.backend.torchrDzoCurrently, we cannot dynamically import the numpy backend because it would disrupt the namespace of the import.rEzkeras.src.backend.openvino)r? importlib import_modulegetattrrrNotImplementedError)rrKmodules r __getattr__zDynamicBackend.__getattr__cs ==L (,,-KLF64( ( ==E !,,-DEF64( ( ==G #,,-FGF64( ( ==G #%%'72~t44)L ==J &,,-IJF64( ( 'rr=) r&r'r(__doc__rrGrIpropertyrKrRr)rrr;r;As/ < 1)rr;zkeras.config.set_backendc|tjd<tjj Dcgc]}|j ds|}}|D]}tj|=ddl}tjt}|jD]\}}|j|jk(s t|j ds;t|}||jddzd}|d|jd}tj|t|<tj dd ycc}w) uReload the backend (and the Keras package). Example: >>> import os >>> os.environ["KERAS_BACKEND"] = "tensorflow" >>> >>> import keras >>> from keras import ops >>> type(ops.ones(())) >>> >>> keras.config.set_backend("jax") UserWarning: Using `keras.config.set_backend` is dangerous... >>> del keras, ops >>> >>> import keras >>> from keras import ops >>> type(ops.ones(())) ⚠️ WARNING ⚠️: Using this function is dangerous and should be done carefully. Changing the backend will **NOT** convert the type of any already-instantiated objects. Thus, any layers / tensors / etc. already created will no longer be usable without errors. It is strongly recommended **not** to keep around **any** Keras-originated objects instances created before calling `set_backend()`. This includes any function or class instance that uses any Keras functionality. All such code needs to be re-executed after calling `set_backend()` and re-importing all imported `keras` modules. KERAS_BACKENDkerasrNzros`  /-1   (6)6)r()A*Ar