
    6bi                     f   S r SSKJs  Jr  SSKJr  SqSqSq	\" S5      \R                  R                  R                  S 5       5       r\" S	5      S
 5       r\" S5      S 5       r\" S5      S 5       r\" S5      \R                  R                  R                  S 5       5       r\" S5      S 5       rg)zKeras backend config API.    N)keras_exportfloat32gHz>channels_lastzkeras.backend.epsilonc                      [         $ )zReturns the value of the fuzz factor used in numeric expressions.

Returns:
    A float.

Example:
>>> tf.keras.backend.epsilon()
1e-07
_EPSILON     U/home/james-whalen/.local/lib/python3.13/site-packages/tf_keras/src/backend_config.pyepsilonr       s	     Or
   zkeras.backend.set_epsilonc                     U q g)a  Sets the value of the fuzz factor used in numeric expressions.

Args:
    value: float. New value of epsilon.

Example:
>>> tf.keras.backend.epsilon()
1e-07
>>> tf.keras.backend.set_epsilon(1e-5)
>>> tf.keras.backend.epsilon()
1e-05
 >>> tf.keras.backend.set_epsilon(1e-7)
Nr   )values    r   set_epsilonr   /   s	      Hr
   zkeras.backend.floatxc                      [         $ )zReturns the default float type, as a string.

E.g. `'float16'`, `'float32'`, `'float64'`.

Returns:
    String, the current default float type.

Example:
>>> tf.keras.backend.floatx()
'float32'
)_FLOATXr	   r
   r   floatxr   B   s	     Nr
   zkeras.backend.set_floatxc                 N    1 SknX;  a  [        SU  SU 35      e[        U 5      qg)a  Sets the default float type.

Note: It is not recommended to set this to float16 for training, as this
will likely cause numeric stability issues. Instead, mixed precision, which
is using a mix of float16 and float32, can be used by calling
`tf.keras.mixed_precision.set_global_policy('mixed_float16')`. See the
[mixed precision guide](
  https://www.tensorflow.org/guide/tf_keras/mixed_precision) for details.

Args:
    value: String; `'float16'`, `'float32'`, or `'float64'`.

Example:
>>> tf.keras.backend.floatx()
'float32'
>>> tf.keras.backend.set_floatx('float64')
>>> tf.keras.backend.floatx()
'float64'
>>> tf.keras.backend.set_floatx('float32')

Raises:
    ValueError: In case of invalid value.
>   float16r   float64zUnknown `floatx` value: . Expected one of N)
ValueErrorstrr   )r   accepted_dtypess     r   
set_floatxr   R   s>    4 8O#&ug ../1
 	
 %jGr
   zkeras.backend.image_data_formatc                      [         $ )zReturns the default image data format convention.

Returns:
    A string, either `'channels_first'` or `'channels_last'`

Example:
>>> tf.keras.backend.image_data_format()
'channels_last'
)_IMAGE_DATA_FORMATr	   r
   r   image_data_formatr   u   s
     r
   z#keras.backend.set_image_data_formatc                 N    SS1nX;  a  [        SU  SU 35      e[        U 5      qg)a  Sets the value of the image data format convention.

Args:
    data_format: string. `'channels_first'` or `'channels_last'`.

Example:
>>> tf.keras.backend.image_data_format()
'channels_last'
>>> tf.keras.backend.set_image_data_format('channels_first')
>>> tf.keras.backend.image_data_format()
'channels_first'
>>> tf.keras.backend.set_image_data_format('channels_last')

Raises:
    ValueError: In case of invalid `data_format` value.
r   channels_firstzUnknown `data_format`: r   N)r   r   r   )data_formataccepted_formatss     r   set_image_data_formatr"      sG    & ()9:*%k] 3/02
 	
 [)r
   )__doc__tensorflow.compat.v2compatv2tf tensorflow.python.util.tf_exportr   r   r   r   __internal__dispatchadd_dispatch_supportr   r   r   r   r   r"   r	   r
   r   <module>r,      s      ! ! :   %  %&..
 / '
 )* +$ $% & () *D /0..
 / 1
 34* 5*r
   