a
    Sic                     @   sn   d Z ddlm  mZ 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 )z&Keras zero-padding layer for 3D input.    N)backend)Layer)	InputSpec)
conv_utils)keras_exportzkeras.layers.ZeroPadding3Dc                       s>   e Zd ZdZd fdd	Zdd Zdd	 Z fd
dZ  ZS )ZeroPadding3DaO  Zero-padding layer for 3D data (spatial or spatio-temporal).

    Examples:

    >>> input_shape = (1, 1, 2, 2, 3)
    >>> x = np.arange(np.prod(input_shape)).reshape(input_shape)
    >>> y = tf.keras.layers.ZeroPadding3D(padding=2)(x)
    >>> print(y.shape)
    (1, 5, 6, 6, 3)

    Args:
      padding: Int, or tuple of 3 ints, or tuple of 3 tuples of 2 ints.
        - If int: the same symmetric padding
          is applied to height and width.
        - If tuple of 3 ints:
          interpreted as two different
          symmetric padding values for height and width:
          `(symmetric_dim1_pad, symmetric_dim2_pad, symmetric_dim3_pad)`.
        - If tuple of 3 tuples of 2 ints:
          interpreted as
          `((left_dim1_pad, right_dim1_pad), (left_dim2_pad,
            right_dim2_pad), (left_dim3_pad, right_dim3_pad))`
      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, spatial_dim1, spatial_dim2, spatial_dim3, channels)`
        while `channels_first` corresponds to inputs with shape
        `(batch_size, channels, spatial_dim1, spatial_dim2, spatial_dim3)`.
        It defaults to the `image_data_format` value found in your
        Keras config file at `~/.keras/keras.json`.
        If you never set it, then it will be "channels_last".

    Input shape:
      5D tensor with shape:
      - If `data_format` is `"channels_last"`:
          `(batch_size, first_axis_to_pad, second_axis_to_pad,
          third_axis_to_pad, depth)`
      - If `data_format` is `"channels_first"`:
          `(batch_size, depth, first_axis_to_pad, second_axis_to_pad,
          third_axis_to_pad)`

    Output shape:
      5D tensor with shape:
      - If `data_format` is `"channels_last"`:
          `(batch_size, first_padded_axis, second_padded_axis,
          third_axis_to_pad, depth)`
      - If `data_format` is `"channels_first"`:
          `(batch_size, depth, first_padded_axis, second_padded_axis,
            third_axis_to_pad)`
       r	   r	   Nc                    s   t  jf i | t|| _t|trB||f||f||ff| _nt|drt	|dkrht
d| dtj|d dd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 )N__len__   z,`padding` should have 3 elements. Received: .r      z1st entry of paddingT)
allow_zeror	   z2nd entry of paddingz3rd entry of paddinga  `padding` should be either an int, a tuple of 3 ints (symmetric_dim1_pad, symmetric_dim2_pad, symmetric_dim3_pad), or a tuple of 3 tuples of 2 ints ((left_dim1_pad, right_dim1_pad), (left_dim2_pad, right_dim2_pad), (left_dim3_pad, right_dim2_pad)). Received:    )ndim)super__init__r   normalize_data_formatdata_format
isinstanceintpaddinghasattrlen
ValueErrornormalize_tupler   
input_spec)selfr   r   kwargsdim1_paddingdim2_paddingdim3_padding	__class__ a/var/www/html/django/DPS/env/lib/python3.9/site-packages/keras/layers/reshaping/zero_padding3d.pyr   S   s8    



zZeroPadding3D.__init__c                 C   s  t | }| jdkr|d d urJ|d | jd d  | jd d  }n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 }t |d |d |||gS | jdkr|d d ur|d | jd d  | jd d  }nd }|d d urN|d | jd d  | jd d  }nd }|d d ur|d | jd d  | jd d  }nd }t |d ||||d gS d S )Nchannels_firstr   r   r	   r      channels_last)tfTensorShapeas_listr   r   )r   input_shapedim1dim2dim3r$   r$   r%   compute_output_shapex   s6    
&&&&&&z"ZeroPadding3D.compute_output_shapec                 C   s   t j|| j| jdS N)r   r   )r   spatial_3d_paddingr   r   )r   inputsr$   r$   r%   call   s    
zZeroPadding3D.callc                    s4   | j | jd}t  }tt| t|  S r1   )r   r   r   
get_configdictlistitems)r   configbase_configr"   r$   r%   r5      s    
zZeroPadding3D.get_config)r   N)	__name__
__module____qualname____doc__r   r0   r4   r5   __classcell__r$   r$   r"   r%   r      s
   4%#r   )r>   tensorflow.compat.v2compatv2r)   kerasr   keras.engine.base_layerr   keras.engine.input_specr   keras.utilsr    tensorflow.python.util.tf_exportr   r   r$   r$   r$   r%   <module>   s   