2Vh$ddlZddlZddlmZddlmZddlmZddlmZddlmZ ddlm Z ddlm Z dd lm Z dd l mZdd lmZej"ad Zdd ZddZddZdZdZdZdZdZdZy)N)logging)backend)layers)losses)metrics)models) optimizers)tree) serialization)object_registration)module function_typeoutput_shape_typeoutput_shape_modulec t|trtd|dttdst j t_t jtjd<tjtjd<tjtjd<tjtjd<|djd d }||d dk(r ||dd <n||dd <|djdd }|Zt|tr#t|dk(rt|d|dd<n't|tt frt||dd<|d dk(rft"D]}|dj|d }|dd}t|tr.did}|d|dd<|d|dd<|d|dd<||dd<t%|dd}t'j(|tj|dS)aInstantiates a Keras model from its config. Args: config: Configuration dictionary. custom_objects: Optional dictionary mapping names (strings) to custom classes or functions to be considered during deserialization. Returns: A Keras model instance (uncompiled). Raises: TypeError: if `config` is not a dictionary. zG`model_from_config` expects a dictionary, not a list. Received: config=z8. Did you meant to use `Sequential.from_config(config)`? ALL_OBJECTS InputLayer FunctionalModel Sequentialconfigbatch_input_shapeN class_name batch_shape input_shapeaxisrLambdafunction __lambda__rrcodedefaultsclosurezkeras.layer)module_objectscustom_objectsprintable_module_name) isinstancelist TypeErrorhasattrMODULE_OBJECTSr__dict__rrrrrrpoplenintfloatLAMBDA_DEP_ARGS_find_replace_nested_dictr deserialize_keras_object)rr(rrdep_arg_function_config function_dicts T/home/dcms/DCMS/lib/python3.12/site-packages/keras/src/legacy/saving/saving_utils.pymodel_from_configr<s(&$ &x(0 0   >= 1%+__"393D3D""<0393D3D""<0.4ll""7+393D3D""<0x(,,-@$G$ , < /.?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 ('vx BF  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) keras.srcr? __class____name__ get_configNotImplementedErrordictstrrgetattrcompiled_compile_configrr0_serialize_nested_configr get_registered_namerB) modelinclude_optimizerrequire_configr@rAemetadatarCrDs r;model_metadatarV`s 6 %//":":;L!&!1!1!3 X -(!!H uk5).? >>#33::O    T 2*B+H& '2EEOO-- //446    ?OH& '(: ; O/  G sC;; DD  Dc|i}tj|5|d}tj|}t ||t}d}|j dd}|+t tj|}t ||t}d}|j dd}|!t t|}t ||t}d}|j dd} | t t| }|d} dddt S#1swYxYw)z4Return model.compile arguments from training config.NrDlossrweighted_metrics loss_weights)rBrXrrYrZ) r CustomObjectScoper deserialize!_resolve_compile_arguments_compatget_deserialize_nested_configr_deserialize_metricmetrics_modulerJ) rCr(rDrBrX loss_configrmetrics_configrYweighted_metrics_configrZs r;!compile_args_from_training_configres?  . .~ >$7*+=>**+;< 5 ' %))&$7  "-f.@.@+ND4T;OD(,,Y=  %0#^G8G  "1"5"56H$"O " .9#%<  '~6 I$7L  )!  M$7$7s CDD c4d}tj||S)z/Serialized a nested structure of Keras objects.cFt|rtj|S|SN)callabler serialize_keras_objectobjs r; _serialize_fnz/_serialize_nested_config.._serialize_fns C= 77< < r=)r map_structure)rrms r;rOrOs   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*rJrKrks 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*rJitemsr_tupler+ ValueError)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=c~tj|}|j||}tj|}|Srh)jsondumpsreplaceloads)rfindrdict_strs r;r5r5s5zz&!Hg.H ZZ !F Mr=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*rKALL_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)rQs r;try_build_compiled_argumentsrsx  ""((    % %emm 4%%++  " " ( ( F,  5 s BBBrh)TT)r threadingabslrrErrrrrarr r keras.src.legacy.savingr keras.src.savingr localr.r4r<rVrerOr_r`r5r]rr=r;rso / 10 "BJB1h5<5   r=