&VfJddlmZddlmZddlmZddlmZddlm Z eddgGdd eZ ed d gGd d eZ eddgGddeZ egdGddeZ dS))ops) keras_export)standardize_dtype) Initializer)serialization_libzkeras.initializers.Constantzkeras.initializers.constantc>eZdZdZddZd dZdZedZdS) ConstantaInitializer that generates tensors with constant values. Only scalar values are allowed. The constant value provided must be convertible to the dtype requested when calling the initializer. Examples: >>> # Standalone usage: >>> initializer = Constant(10.) >>> values = initializer(shape=(2, 2)) >>> # Usage in a Keras layer: >>> initializer = Constant(10.) >>> layer = Dense(3, kernel_initializer=initializer) Args: value: A Python scalar. c||_dSN)value)selfr s i/var/www/html/software/conda/lib/python3.11/site-packages/keras/src/initializers/constant_initializers.py__init__zConstant.__init__s  Nct|}tj|j|tj||zS)Ndtype)shaper)rrcastr onesrrrs r__call__zConstant.__call__!sE!%((x %00038u4 4 4   rc8dtj|jiSNr )rserialize_keras_objectr )rs r get_configzConstant.get_config's*A$*MMNNrcLtj|d}||Sr)rdeserialize_keras_object)clsconfigr s r from_configzConstant.from_config*s$!:6'?KKs5zzr)r r ) __name__ __module__ __qualname____doc__rrr classmethodr"rrr r ss(    OOO[rr zkeras.initializers.Zeroszkeras.initializers.zerosceZdZdZddZdS)Zerosa.Initializer that generates tensors initialized to 0. Examples: >>> # Standalone usage: >>> initializer = Zeros() >>> values = initializer(shape=(2, 2)) >>> # Usage in a Keras layer: >>> initializer = Zeros() >>> layer = Dense(units=3, kernel_initializer=initializer) NcLt|}tj||SReturns a tensor object initialized as specified by the initializer. Args: shape: Shape of the tensor. dtype: Optional dtype of the tensor. Only numeric or boolean dtypes are supported. If not specified, `keras.backend.floatx()` is used, which default to `float32` unless you configured it otherwise (via `keras.backend.set_floatx(float_dtype)`). r)rrzerosrs rrzZeros.__call__?s&"%((ye,,,,rr r#r$r%r&rr(rrr*r*0s2   - - - - - -rr*zkeras.initializers.Oneszkeras.initializers.onesceZdZdZddZdS)Onesa\Initializer that generates tensors initialized to 1. Also available via the shortcut function `ones`. Examples: >>> # Standalone usage: >>> initializer = Ones() >>> values = initializer(shape=(2, 2)) >>> # Usage in a Keras layer: >>> initializer = Ones() >>> layer = Dense(3, kernel_initializer=initializer) NcLt|}tj||Sr,)rrrrs rrz Ones.__call__^s&"%((xU++++rr r/r(rrr1r1Ms2   , , , , , ,rr1)z&keras.initializers.IdentityInitializerzkeras.initializers.Identityzkeras.initializers.identityc"eZdZdZddZddZdS)IdentityaInitializer that generates the identity matrix. Only usable for generating 2D matrices. Examples: >>> # Standalone usage: >>> initializer = Identity() >>> values = initializer(shape=(2, 2)) >>> # Usage in a Keras layer: >>> initializer = Identity() >>> layer = Dense(3, kernel_initializer=initializer) Args: gain: Multiplicative factor to apply to the identity matrix. ?c||_dSr )gain)rr7s rrzIdentity.__init__s  rNct|dkr#td|dt|dt|}|jt j|d|izS)r-zNIdentity matrix initializer can only be used for 2D matrices. Received: shape=z of rank .r)len ValueErrorrr7reyers rrzIdentity.__call__s u::??A#(AA36u::AAA "%((y37E77777r)r5r )r#r$r%r&rrr(rrr4r4lsF$888888rr4N) keras.srcrkeras.src.api_exportrkeras.src.backendr"keras.src.initializers.initializerrkeras.src.savingrr r*r1r4r(rrrCs------//////::::::......,.KLMM$$$$${$$NM$N)+EFGG-----K--HG-8(*CDEE,,,,,;,,FE,<&8&8&8&8&8{&8&8&8&8&8r