
    6bi                         S r SSKJs  Jr  SSKJr  SSKJr  SSK	J
r
  SSKJr  SSKJr  \" S5       " S	 S
\5      5       rg)z&Keras zero-padding layer for 3D input.    N)backend)Layer)	InputSpec)
conv_utils)keras_exportzkeras.layers.ZeroPadding3Dc                   H   ^  \ rS rSrSrSU 4S jjrS rS rU 4S jrSr	U =r
$ )	ZeroPadding3D   a  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)`.
    When unspecified, uses
    `image_data_format` value found in your TF-Keras config file at
     `~/.keras/keras.json` (if exists) else 'channels_last'.
    Defaults to '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)`
c                   > [         TU ]  " S0 UD6  [        R                  " U5      U l        [        U[        5      (       a  X4X4X44U l        O[        US5      (       av  [        U5      S:w  a  [        SU S35      e[        R                  " US   SSSS	9n[        R                  " US
   SSSS	9n[        R                  " US   SSSS	9nXEU4U l        O[        SU S35      e[        SS9U l        g )N__len__   z,`padding` should have 3 elements. Received: .r      z1st entry of paddingT)
allow_zero   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__s          f/home/james-whalen/.local/lib/python3.13/site-packages/tf_keras/src/layers/reshaping/zero_padding3d.pyr   ZeroPadding3D.__init__T   s   "6"%;;KHgs##"""DL
 Wi((7|q  B7)1M  &55
A5$L &55
A5$L &55
A5$L )EDL %IQ(	 	 $+    c                 z   [         R                  " U5      R                  5       nU R                  S:X  a  US   b,  US   U R                  S   S   -   U R                  S   S   -   nOS nUS   b,  US   U R                  S   S   -   U R                  S   S   -   nOS nUS   b,  US   U R                  S   S   -   U R                  S   S   -   nOS n[         R                  " US   US   X#U/5      $ U R                  S:X  a  US   b,  US   U R                  S   S   -   U R                  S   S   -   nOS nUS   b,  US   U R                  S   S   -   U R                  S   S   -   nOS nUS   b,  US   U R                  S   S   -   U R                  S   S   -   nOS n[         R                  " US   X#XAS   /5      $ g )Nchannels_firstr   r   r   r      channels_last)tfTensorShapeas_listr   r   )r!   input_shapedim1dim2dim3s        r'   compute_output_shape"ZeroPadding3D.compute_output_shapey   s   nn[199;//1~)"1~Q(::T\\!_Q=OO1~)"1~Q(::T\\!_Q=OO1~)"1~Q(::T\\!_Q=OO>>QQTB  01~)"1~Q(::T\\!_Q=OO1~)"1~Q(::T\\!_Q=OO1~)"1~Q(::T\\!_Q=OO>>QTq>B  1r)   c                 T    [         R                  " XR                  U R                  S9$ N)r   r   )r   spatial_3d_paddingr   r   )r!   inputss     r'   callZeroPadding3D.call   s$    ))LLd6F6F
 	
r)   c                    > U R                   U R                  S.n[        TU ]  5       n[	        [        UR                  5       5      [        UR                  5       5      -   5      $ r8   )r   r   r   
get_configdictlistitems)r!   configbase_configr&   s      r'   r>   ZeroPadding3D.get_config   sM    !\\$:J:JKg(*D**,-V\\^0DDEEr)   )r   r    r   ))r   r   r   N)__name__
__module____qualname____firstlineno____doc__r   r5   r;   r>   __static_attributes____classcell__)r&   s   @r'   r	   r	      s&    3j#,J!F

F Fr)   r	   )rI   tensorflow.compat.v2compatv2r.   tf_keras.srcr   tf_keras.src.engine.base_layerr   tf_keras.src.engine.input_specr   tf_keras.src.utilsr    tensorflow.python.util.tf_exportr   r	   r   r)   r'   <module>rT      sJ    - " !   0 4 ) : *+FFE FF ,FFr)   