2VhddlZddlmZddlmZddlmZddlmZddlmZddlm 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$lm&Z&dd%lm'Z'dd&lm(Z(dd'lm)Z)dd(lm*Z*dd)lm+Z+dd*lm,Z,dd+lm-Z-dd,lm.Z.dd-lm/Z/dd.lm0Z0dd/l1m2Z2heeeeeee e eeeeee eeeee eee ee'e-eeeee.e+e)e*e,e"e(e&e%e/e e$e0e!e#Z3e3Dcic]}|jh|c}Z5e5jmeee'e'e)e)e+e+e*e*e,e,d0 ed1d2Z7ed3d7d4Z8ed5d6Z9ycc}w)8N) keras_export)Loss)CTC)BinaryCrossentropy)BinaryFocalCrossentropy)CategoricalCrossentropy)CategoricalFocalCrossentropy)CategoricalHinge)Circle)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)circle)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_lib) 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. )r0serialize_keras_object)losss I/home/dcms/DCMS/lib/python3.12/site-packages/keras/src/losses/__init__.py serializerAs  3 3D 99zkeras.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)r0deserialize_keras_objectALL_OBJECTS_DICT)namerEs r@ deserializerIs   5 5 '% rBzkeras.losses.getc|yt|tr t|}n)t|trtj |d}n|}t |rtj|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: ) isinstancedictrIstrrGgetcallableinspectisclass ValueError) identifierobjs r@rNrNst>*d#*% J $"":t4} ??3 %C @ MNNrB)N):rPkeras.src.api_exportrkeras.src.losses.lossrkeras.src.losses.lossesrrrrr r r r r rrrrrrrrrrrrrrrrrrr r!r"r#r$r%r&r'r(r)r*r+r,r-r.r/keras.src.savingr0 ALL_OBJECTS__name__rGupdaterArIrN)clss0r@r]s#-&'6;;@4*4())0+75?4?+A0+7=<B5*5'())1,7B6B+C1+.:::  :  ::::!:"::: :  !:"#:$ %:& ':* +:,-:./:2 3:4 5:8 9:<=:@A:B C:DE:FG:HI:J#K:L$M:PQ:RS:T#U:V#W:XY:Z [:\ ]:` a:bc:de:h i:j k:n o:rs: x2==#CLL#%=""""!!.... $&' :( :()*& !,O",Ok>s7G