ij_$ddlZddlmZddlmZddlmZddlmZddlmZddl m Z ddl m Z ejad Zdd Zdd Zdd Zd ZdZdZdZdZy)N)logging)backend)losses)metrics)tree) serialization)object_registration)module function_typeoutput_shape_typeoutput_shape_modulec:t|trtd|dttdsddlm}ddlm}|jt_ |jtjd<|jtjd<|jtjd <|jtjd <t|trd |vrtd ||d j!d d}||ddk(r ||d d<n||d d<|d j!dd}|Zt|tr#t#|dk(rt%|d|d d<n't|t$t&frt%||d d<|ddk(rft(D]}|d j!|d}|d d}t|tr.did} |d| d d<|d| d d<|d| d d<| |d d<t+j,|tj|dS)aInstantiates a Keras model from its config. Args: config: Configuration dictionary. custom_objects: Optional dictionary mapping names (strings) to custom classes or functions to be considered during deserialization. Returns: A Keras model instance (uncompiled). Raises: TypeError: if `config` is not a dictionary. zG`model_from_config` expects a dictionary, not a list. Received: config=z8. Did you meant to use `Sequential.from_config(config)`? ALL_OBJECTSr)layers)models InputLayer FunctionalModel SequentialconfigzThe provided configuration is not a valid Keras configuration. Expected a dictionary containing a 'config' key. Received: config=batch_input_shapeN class_name batch_shape input_shapeaxisLambdafunction __lambda__rrcodedefaultsclosurelayer)module_objectscustom_objectsprintable_module_name) isinstancelist TypeErrorhasattrMODULE_OBJECTS keras.srcrr__dict__rrrrrdict ValueErrorpoplenintfloatLAMBDA_DEP_ARGSrdeserialize_keras_object) rr'rrrrdep_arg_function_config function_dicts y/var/www/html/emotional.easysim.app/public_html/venv/lib/python3.12/site-packages/keras/src/legacy/saving/saving_utils.pymodel_from_configr=sM&$ &x(0 0   >= 1$$%+__"393D3D""<0393D3D""<0.4ll""7+393D3D""<0 fd #xv'= &x )  x(,,-@$G$ , < /.?F8 ] +.?F8 ] + (    -D  dD !c$i1n'*47|F8 V $ sEl +'*4yF8 V $lx'& 4Gx $$Wd3A 4 *:6 ot ,+72FM.=a.@M( #F +2A!2DM( #J /1@1CM( #I .+8F8 Z (  1 1%11%%  c*ddlm}d|jji} |j |d<t t|tj|}t|ddr|r|jr|jj}|jddt||d <tj |j"j|j"j d }||d d <|S#t $r}|r|Yd}~d}~wwxYw) z3Returns a dictionary containing the model metadata.r) __version__rrN) keras_versionr model_config optimizerFtraining_configr optimizer_config)r.r@ __class____name__ get_configNotImplementedErrorr0strrgetattrcompiled_compile_configrr2_serialize_nested_configr get_registered_namerC) modelinclude_optimizerrequire_configrArBemetadatarDrEs r<model_metadatarUas 6 %//":":;L!&!1!1!3 X -(!!H uk5).? >>#33::O    T 2*B+H& '2EEOO-- //446    ?OH& '(: ; O/  G sC;; DD  Dc|i}tj|5ddlm}|d}|j |}t |||}d}|j dd}|+ttj|}t ||t}d}|j dd}|!tt|}t ||t}d} |j dd} | tt| } |d} dddt  S#1swYxYw) z4Return model.compile arguments from training config.Nr) optimizersrElossrweighted_metrics loss_weights)rCrXrrYrZ) r CustomObjectScoper.rW deserialize!_resolve_compile_arguments_compatget_deserialize_nested_configr_deserialize_metricmetrics_moduler0) rDr'rWrErCrX loss_configrmetrics_configrYweighted_metrics_configrZs r<!compile_args_from_training_configresB  . .~ >&7(*+=>**+;< 5 ' %))&$7  "-f.@.@+ND4T;OD(,,Y=  %0#^G8G  "1"5"56H$"O " .9#%<  '~6 M&7P  )!  Q&7&7s C C??Dc4d}tj||S)z/Serialized a nested structure of Keras objects.cFt|rtj|S|SN)callablerserialize_keras_objectobjs r< _serialize_fnz/_serialize_nested_config.._serialize_fns C= 77< < r>)r map_structure)rrms r<rNrNs   mV 44r>c >d}|y||r||St|tr.|jDcic]\}}|t||c}}St|tt fr|Dcgc]}t||c}St d|dcc}}wcc}w)z=Deserializes arbitrary Keras `config` using `deserialize_fn`.cPt|trd|vryt|tryy)NrTF)r)r0rJrks r<_is_single_objectz5_deserialize_nested_config.._is_single_objects& c4 \S%8 c3 r>NzrSaved configuration not understood. Configuration should be a dictionary, string, tuple or list. Received: config=.)r)r0itemsr_tupler*r1)deserialize_fnrrqkvrls r<r_r_s~ f%% FD !  1 ).!< <   FUDM *GM @C &~s ;    ??Eha I   s B/Bc8|dvr|Stj|S)z7Deserialize metrics, leaving special strings untouched.)accuracyacc crossentropyce)rar\) metric_configs r<r`r`s$AA  % %m 44r>cpt|tr%||jvr|j|dd}|S)aCResolves backwards compatibility issues with training config arguments. This helper function accepts built-in Keras modules such as optimizers, losses, and metrics to ensure an object being deserialized is compatible with Keras 3 built-ins. For legacy H5 files saved within Keras 3, this does nothing. rname)r)rJALL_OBJECTS_DICTr^)rl obj_configr s r<r]r]s8#s6+B+B BjjH-f56 Jr>cB |jjs%|jj|j|jjs1|jj|j|jyy#t j dYyxYw)NzCompiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.) compiled_lossbuiltbuildoutputscompiled_metricsrwarning)rPs r<try_build_compiled_argumentsrsx  ""((    % %emm 4%%++  " " ( ( F,  5 s BBBrh)TT) threadingabslrr.rrrrarkeras.src.legacy.savingrkeras.src.savingr localr-r6r=rUrerNr_r`r]rr>r<rs^/10 "GTB3l5<5   r>