ij >ddlmZeddgGddZy)) keras_exportzkeras.Initializerzkeras.initializers.Initializerc4eZdZdZddZdZedZdZy) InitializeraInitializer base class: all Keras initializers inherit from this class. Initializers should implement a `__call__()` method with one of two possible signatures. If your initializer does not handle distribution layouts, it should use this signature: ```python def __call__(self, shape, dtype=None): # returns a tensor of shape `shape` and dtype `dtype` # containing values drawn using a function of your choice. ``` If your initializer handles distribution layouts, it should use this signature. `layout` can either be a `keras.distribution.TensorLayout` or a backend-specific layout. If the given `layout` is not `None`, the returned value must be distributed according to `layout`. ```python def __call__(self, shape, dtype=None, layout=None): # returns a tensor of shape `shape`, dtype `dtype` and distributed # across devices according to the layout `layout`. # containing values drawn using a function of your choice. ``` Optionally, you can also implement the method `get_config()` and the class method `from_config` in order to support serialization, just like with any Keras object. Here's a simple example: a random normal initializer. ```python class ExampleRandomNormal(Initializer): def __init__(self, mean, stddev): self.mean = mean self.stddev = stddev def __call__(self, shape, dtype=None): return keras.random.normal( shape, mean=self.mean, stddev=self.stddev, dtype=dtype ) def get_config(self): # To support serialization return {"mean": self.mean, "stddev": self.stddev} ``` Note that we don't have to implement `from_config()` in the example above since the constructor arguments of the class the keys in the config returned by `get_config()` are the same. In this case, the default `from_config()` works fine. Nctd)zReturns a tensor object initialized as specified by the initializer. Args: shape: Shape of the tensor. dtype: Optional dtype of the tensor. z>Initializer subclasses must implement the `__call__()` method.)NotImplementedError)selfshapedtypes w/var/www/html/emotional.easysim.app/public_html/venv/lib/python3.12/site-packages/keras/src/initializers/initializer.py__call__zInitializer.__call__9s" L  ciS)zReturns the initializer's configuration as a JSON-serializable dict. Returns: A JSON-serializable Python dict. rs r get_configzInitializer.get_configDs  r c|di|S)aInstantiates an initializer from a configuration dictionary. Example: ```python initializer = RandomUniform(-1, 1) config = initializer.get_config() initializer = RandomUniform.from_config(config) ``` Args: config: A Python dictionary, the output of `get_config()`. Returns: An `Initializer` instance. rr)clsconfigs r from_configzInitializer.from_configLs$}V}r cT|jj|jSN) __class__rrrs r clonezInitializer.clone`s~~))$//*;<r s1-"$DEF\=\=G\=r