o
    2hT#                     @   sX   d dl mZ d dlmZ d dlmZ d dlmZ d dlm	Z	 edG dd deZ
d	S )
    )backend)keras_export)	InputSpec)Layer)argument_validationzkeras.layers.Cropping2Dc                       s>   e Zd ZdZd fdd	Zdd Zdd	 Z fd
dZ  ZS )
Cropping2Da  Cropping layer for 2D input (e.g. picture).

    It crops along spatial dimensions, i.e. height and width.

    Example:

    >>> input_shape = (2, 28, 28, 3)
    >>> x = np.arange(np.prod(input_shape)).reshape(input_shape)
    >>> y = keras.layers.Cropping2D(cropping=((2, 2), (4, 4)))(x)
    >>> y.shape
    (2, 24, 20, 3)

    Args:
        cropping: Int, or tuple of 2 ints, or tuple of 2 tuples of 2 ints.
            - If int: the same symmetric cropping is applied to height and
              width.
            - If tuple of 2 ints: interpreted as two different symmetric
              cropping values for height and width:
              `(symmetric_height_crop, symmetric_width_crop)`.
            - If tuple of 2 tuples of 2 ints: interpreted as
              `((top_crop, bottom_crop), (left_crop, right_crop))`.
        data_format: A string, one of `"channels_last"` (default) or
            `"channels_first"`. The ordering of the dimensions in the inputs.
            `"channels_last"` corresponds to inputs with shape
            `(batch_size, height, width, channels)` while `"channels_first"`
            corresponds to inputs with shape
            `(batch_size, channels, height, width)`.
            When unspecified, uses `image_data_format` value found in your Keras
            config file at `~/.keras/keras.json` (if exists). Defaults to
            `"channels_last"`.

    Input shape:
        4D tensor with shape:
        - If `data_format` is `"channels_last"`:
          `(batch_size, height, width, channels)`
        - If `data_format` is `"channels_first"`:
          `(batch_size, channels, height, width)`

    Output shape:
        4D tensor with shape:
        - If `data_format` is `"channels_last"`:
          `(batch_size, cropped_height, cropped_width, channels)`
        - If `data_format` is `"channels_first"`:
          `(batch_size, channels, cropped_height, cropped_width)`
    r   r   r	   Nc                    s   t  jdi | t|| _t|tr*|dk r td| d||f||ff| _n7t	|drYt
|dkr=td| dtj|d dddd	}tj|d
 dddd	}||f| _ntd| dtdd| _d S )Nr   z2`cropping` cannot be negative. Received: cropping=.__len__   z8`cropping` should have two elements. Received: cropping=z1st entry of croppingT)
allow_zero   z2nd entry of croppingz`cropping` should be either an int, a tuple of 2 ints (symmetric_height_crop, symmetric_width_crop), or a tuple of 2 tuples of 2 ints ((top_crop, bottom_crop), (left_crop, right_crop)). Received: cropping=   )ndim )super__init__r   standardize_data_formatdata_format
isinstanceint
ValueErrorcroppinghasattrlenr   standardize_tupler   
input_spec)selfr   r   kwargsheight_croppingwidth_cropping	__class__r   `/var/www/html/chatgem/venv/lib/python3.10/site-packages/keras/src/layers/reshaping/cropping2d.pyr   8   s<   

zCropping2D.__init__c                 C   s  | j dkrm|d d urt| jd |d ks'|d d ur2t| jd |d kr2td| d| j |d |d |d d urP|d | jd d  | jd d  nd |d d urj|d | jd d  | jd d  fS d fS |d d ur~t| jd |d ks|d d urt| jd |d krtd| d| j |d |d d ur|d | jd d  | jd d  nd |d d ur|d | jd d  | jd d  nd |d fS )Nchannels_firstr   r      r   z}Values in `cropping` argument should be smaller than the corresponding spatial dimension of the input. Received: input_shape=, cropping=)r   sumr   r   )r   input_shaper   r   r$   compute_output_shapeY   sT   
$"$$zCropping2D.compute_output_shapec                 C   s  | j dkr|jd d urt| jd |jd ks+|jd d ur7t| jd |jd kr7td|j d| j | jd d | jd d   krKdkrgn n|d d d d | jd d d | jd d d f S | jd d dkr|d d d d | jd d d | jd d | jd d  f S | jd d dkr|d d d d | jd d | jd d  | jd d d f S |d d d d | jd d | jd d  | jd d | jd d  f S |jd d urt| jd |jd ks|jd d urt| jd |jd krtd|j d| j | jd d | jd d   kr*dkrFn n|d d | jd d d | jd d d d d f S | jd d dkrp|d d | jd d d | jd d | jd d  d d f S | jd d dkr|d d | jd d | jd d  | jd d d d d f S |d d | jd d | jd d  | jd d | jd d  d d f S )Nr%   r   r   r&   r   z~Values in `cropping` argument should be smaller than the corresponding spatial dimension of the input. Received: inputs.shape=r'   )r   shaper(   r   r   )r   inputsr   r   r$   call   s   
,.0.zCropping2D.callc                    s$   | j | jd}t  }i ||S )N)r   r   )r   r   r   
get_config)r   configbase_configr"   r   r$   r.      s   
zCropping2D.get_config)r   N)	__name__
__module____qualname____doc__r   r*   r-   r.   __classcell__r   r   r"   r$   r      s    .!8Lr   N)	keras.srcr   keras.src.api_exportr   keras.src.layers.input_specr   keras.src.layers.layerr   keras.src.utilsr   r   r   r   r   r$   <module>   s    