&VfddlZddlmZddlmZddlmZddlmZddlmZddlm Z ddlm Z dd lm Z dd lm Z dd lm Z dd lmZdd lmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlm Z ddlm!Z!dd lm"Z"dd!lm#Z#dd"lm$Z$dd#lm%Z%dd$lm&Z&dd%lm'Z'dd&lm(Z(dd'lm)Z)dd(lm*Z*dd)lm+Z+dd*lm,Z,dd+lm-Z-dd,l.m/Z/heeeeeeee eeeeee eee ee e ee$e*eeeee+e(e&e'e)ee%e#e"e,ee!e-Z0d-e0DZ1e12eee$e$e&e&e(e(e'e'e)e)d. ed/d0Z3ed1d5d2Z4ed3d4Z5dS)6N) keras_export)Loss)BinaryCrossentropy)BinaryFocalCrossentropy)CategoricalCrossentropy)CategoricalFocalCrossentropy)CategoricalHinge)CosineSimilarity)Dice)Hinge)Huber) KLDivergence)LogCosh)LossFunctionWrapper)MeanAbsoluteError)MeanAbsolutePercentageError)MeanSquaredError)MeanSquaredLogarithmicError)Poisson)SparseCategoricalCrossentropy) SquaredHinge)Tversky)binary_crossentropy)binary_focal_crossentropy)categorical_crossentropy)categorical_focal_crossentropy)categorical_hinge)cosine_similarity)ctc)dice)hinge)huber) kl_divergence)log_cosh)mean_absolute_error)mean_absolute_percentage_error)mean_squared_error)mean_squared_logarithmic_error)poisson)sparse_categorical_crossentropy) squared_hinge)tversky)serialization_libci|] }|j| S)__name__).0clss V/var/www/html/software/conda/lib/python3.11/site-packages/keras/src/losses/__init__.py r4cs===#CL#===) bceBCEkldKLDmaeMAEmseMSEmapeMAPEmsleMSLEzkeras.losses.serializec*tj|S)zSerializes loss function or `Loss` instance. Args: loss: A Keras `Loss` instance or a loss function. Returns: Loss configuration dictionary. )r-serialize_keras_object)losss r3 serializerEvs  3D 9 99r5zkeras.losses.deserializec:tj|t|S)aZDeserializes a serialized loss class/function instance. Args: name: Loss configuration. custom_objects: Optional dictionary mapping names (strings) to custom objects (classes and functions) to be considered during deserialization. Returns: A Keras `Loss` instance or a loss function. )module_objectscustom_objects)r-deserialize_keras_objectALL_OBJECTS_DICT)namerHs r3 deserializerLs'  5 '%   r5zkeras.losses.getc<|dSt|trt|}n3t|trt|d}n|}t |r tj|r |}|Std|)aRetrieves a Keras loss as a `function`/`Loss` class instance. The `identifier` may be the string name of a loss function or `Loss` class. >>> loss = losses.get("categorical_crossentropy") >>> type(loss) >>> loss = losses.get("CategoricalCrossentropy") >>> type(loss) You can also specify `config` of the loss to this function by passing dict containing `class_name` and `config` as an identifier. Also note that the `class_name` must map to a `Loss` class >>> identifier = {"class_name": "CategoricalCrossentropy", ... "config": {"from_logits": True}} >>> loss = losses.get(identifier) >>> type(loss) Args: identifier: A loss identifier. One of None or string name of a loss function/class or loss configuration dictionary or a loss function or a loss class instance. Returns: A Keras loss as a `function`/ `Loss` class instance. Nz%Could not interpret loss identifier: ) isinstancedictrLstrrJgetcallableinspectisclass ValueError) identifierobjs r3rQrQs>t*d##*%% J $ $"":t44}}O ?3   #%%C MMMNNNr5)N)6rSkeras.src.api_exportrkeras.src.losses.lossrkeras.src.losses.lossesrrrrr r r r r rrrrrrrrrrrrrrrrrrr r!r"r#r$r%r&r'r(r)r*r+r,keras.src.savingr- ALL_OBJECTSrJupdaterErLrQr/r5r3r^s------&&&&&&666666;;;;;;;;;;;;@@@@@@444444444444(((((())))))))))))000000++++++777777555555??????444444??????++++++AAAAAA000000++++++777777======<<<<<<BBBBBB555555555555''''''(((((())))))))))))111111,,,,,,777777BBBBBB666666BBBBBB++++++CCCCCC111111++++++......222  2  2222!2"222 2  !2"#2$ %2& '2* +2,-2./22 324 52892: ;2<=2>?2@A2B#C2D$E2HI2JK2L#M2N#O2PQ2R S2T U2X Y2Z[2\]2` a2b c2 h>====""""!!....  $&'' : :(' :())*)& !!,O,O"!,O,O,Or5