B
    d                 @   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 | t|| _t|tr>||f||f||ff| _nt|drt	|dkrdt
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)Z
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   Znormalize_data_formatdata_format
isinstanceintpaddinghasattrlen
ValueErrorZnormalize_tupler   Z
input_spec)selfr   r   kwargsZdim1_paddingZdim2_paddingZdim3_padding)	__class__ W/var/www/html/venv/lib/python3.7/site-packages/keras/layers/reshaping/zero_padding3d.pyr   S   s(    

	zZeroPadding3D.__init__c             C   s  t | }| jdkr|d d k	rJ|d | jd d  | jd d  }nd }|d d k	r|d | jd d  | jd d  }nd }|d d k	r|d | jd d  | jd d  }nd }t |d |d |||gS | jdkr|d d k	r|d | jd d  | jd d  }nd }|d d k	rN|d | jd d  | jd d  }nd }|d d k	r|d | jd d  | jd d  }nd }t |d ||||d gS d S )NZchannels_firstr   r   r	   r      Zchannels_last)tfZTensorShapeas_listr   r   )r   Zinput_shapeZdim1Zdim2Zdim3r   r   r   compute_output_shapex   s2    
&&&&&&z"ZeroPadding3D.compute_output_shapec             C   s   t j|| j| jdS )N)r   r   )r   Zspatial_3d_paddingr   r   )r   inputsr   r   r   call   s    zZeroPadding3D.callc                s4   | j | jd}t  }tt| t|  S )N)r   r   )r   r   r   
get_configdictlistitems)r   configZbase_config)r   r   r   r$      s    
zZeroPadding3D.get_config)r   N)	__name__
__module____qualname____doc__r   r!   r#   r$   __classcell__r   r   )r   r   r      s
   4%#r   )r,   Ztensorflow.compat.v2compatZv2r   Zkerasr   Zkeras.engine.base_layerr   Zkeras.engine.input_specr   Zkeras.utilsr   Z tensorflow.python.util.tf_exportr   r   r   r   r   r   <module>   s   