o ®Ÿ?eÁã@s\dZddlmZdadadaejdd„ƒZdd „Zd d „Z d d „Z ejdd„ƒZ dd„Z dS)zKeras backend config API.é)ÚdispatchÚfloat32gH¯¼šò×z>Ú channels_lastcCótS)z”Returns the value of the fuzz factor used in numeric expressions. Returns: A float. Example: >>> tf.keras.backend.epsilon() 1e-07 ©Ú_EPSILON©rrúg/home/www/facesmatcher.com/pyenv/lib/python3.10/site-packages/tensorflow/python/keras/backend_config.pyÚepsilonó r cCs|adS)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©Úvaluerrr Ú set_epsilon+srcCr)zÐReturns 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' )Ú_FLOATXrrrr Úfloatx=s rcCó$|dvr tdt|ƒƒ‚t|ƒadS)aãSets 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/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. >Zfloat64Zfloat16rzUnknown floatx type: N)Ú ValueErrorÚstrrr rrr Ú set_floatxLs rcCr)zÈReturns the default image data format convention. Returns: A string, either `'channels_first'` or `'channels_last'` Example: >>> tf.keras.backend.image_data_format() 'channels_last' )Ú_IMAGE_DATA_FORMATrrrr Úimage_data_formatjr rcCr)aÌSets 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. >rZchannels_firstzUnknown data_format: N)rrr)Z data_formatrrr Úset_image_data_formatxs rN) Ú__doc__Ztensorflow.python.utilrrrrZadd_dispatch_supportr rrrrrrrrr Ús