
    &Vf|
                         d dl mZ d dlmZ d dlmZ  ed           G d de                      Z ed          d             Zd	S )
    )ops)keras_export)Mergezkeras.layers.Subtractc                   (     e Zd ZdZ fdZd Z xZS )Subtractab  Performs elementwise subtraction.

    It takes as input a list of tensors of size 2 both of the
    same shape, and returns a single tensor (inputs[0] - inputs[1])
    of same shape.

    Examples:

    >>> input_shape = (2, 3, 4)
    >>> x1 = np.random.rand(*input_shape)
    >>> x2 = np.random.rand(*input_shape)
    >>> y = keras.layers.Subtract()([x1, x2])

    Usage in a Keras model:

    >>> input1 = keras.layers.Input(shape=(16,))
    >>> x1 = keras.layers.Dense(8, activation='relu')(input1)
    >>> input2 = keras.layers.Input(shape=(32,))
    >>> x2 = keras.layers.Dense(8, activation='relu')(input2)
    >>> # equivalent to `subtracted = keras.layers.subtract([x1, x2])`
    >>> subtracted = keras.layers.Subtract()([x1, x2])
    >>> out = keras.layers.Dense(4)(subtracted)
    >>> model = keras.models.Model(inputs=[input1, input2], outputs=out)

    c                     t                                          |           t          |          dk    rt          d|           d S )N   zOA `Subtract` layer should be called on exactly 2 inputs. Received: input_shape=)superbuildlen
ValueError)selfinput_shape	__class__s     ^/var/www/html/software/conda/lib/python3.11/site-packages/keras/src/layers/merging/subtract.pyr   zSubtract.build"   sX    k"""{q  7)47 7   !     c                     t          |          dk    rt          d|           t          j        |d         |d                   S )Nr	   zJA `Subtract` layer should be called on exactly 2 inputs. Received: inputs=r      )r   r   r   subtract)r   inputss     r   _merge_functionzSubtract._merge_function*   sS    v;;!-$*- -   |F1Ivay111r   )__name__
__module____qualname____doc__r   r   __classcell__)r   s   @r   r   r      sQ         4    2 2 2 2 2 2 2r   r   zkeras.layers.subtractc                 ,     t          di ||           S )a  Functional interface to the `keras.layers.Subtract` layer.

    Args:
        inputs: A list of input tensors of size 2, each tensor of
            the same shape.
        **kwargs: Standard layer keyword arguments.

    Returns:
        A tensor as the difference of the inputs. It has the same shape
        as the inputs.

    Examples:

    >>> input_shape = (2, 3, 4)
    >>> x1 = np.random.rand(*input_shape)
    >>> x2 = np.random.rand(*input_shape)
    >>> y = keras.layers.subtract([x1, x2])

    Usage in a Keras model:

    >>> input1 = keras.layers.Input(shape=(16,))
    >>> x1 = keras.layers.Dense(8, activation='relu')(input1)
    >>> input2 = keras.layers.Input(shape=(32,))
    >>> x2 = keras.layers.Dense(8, activation='relu')(input2)
    >>> subtracted = keras.layers.subtract([x1, x2])
    >>> out = keras.layers.Dense(4)(subtracted)
    >>> model = keras.models.Model(inputs=[input1, input2], outputs=out)

     )r   )r   kwargss     r   r   r   3   s"    > 8ff%%%r   N)	keras.srcr   keras.src.api_exportr   #keras.src.layers.merging.base_merger   r   r   r   r   r   <module>r#      s          - - - - - - 5 5 5 5 5 5 %&&)2 )2 )2 )2 )2u )2 )2 '&)2X %&&& & '&& & &r   