§ é&Vfõãóp—dZddlZddlmZddlmZddlmZGd„dejjj ¦«Z dS)ztKeras integration for TensorBoard hparams. Use `tensorboard.plugins.hparams.api` to access this module's contents. éN)Úapi_pb2)Úsummary)Ú summary_v2có0—eZdZdZdd„Zd„Zdd„Zdd„ZdS)ÚCallbackzwCallback for logging hyperparameters to TensorBoard. NOTE: This callback only works in TensorFlow eager mode. Ncó6—t|¦«|_||_tj|j|j¬¦«|€t d¦«‚t |t¦«r0tj j j   |¦«|_ dS||_ dS)a'Create a callback for logging hyperparameters to TensorBoard. As with the standard `tf.keras.callbacks.TensorBoard` class, each callback object is valid for only one call to `model.fit`. Args: writer: The `SummaryWriter` object to which hparams should be written, or a logdir (as a `str`) to be passed to `tf.summary.create_file_writer` to create such a writer. hparams: A `dict` mapping hyperparameters to the values used in this session. Keys should be the names of `HParam` objects used in an experiment, or the `HParam` objects themselves. Values should be Python `bool`, `int`, `float`, or `string` values, depending on the type of the hyperparameter. trial_id: An optional `str` ID for the set of hyperparameter values used in this trial. Defaults to a hash of the hyperparameters. Raises: ValueError: If two entries in `hparams` share the same hyperparameter name. ©Útrial_idNz3writer must be a `SummaryWriter` or `str`, not None)ÚdictÚ_hparamsÚ _trial_idrÚ hparams_pbÚ TypeErrorÚ isinstanceÚstrÚtfÚcompatÚv2rÚcreate_file_writerÚ_writer)ÚselfÚwriterÚhparamsr s ú_/var/www/html/software/conda/lib/python3.11/site-packages/tensorboard/plugins/hparams/_keras.pyÚ__init__zCallback.__init__"s‹€õ4˜W™ œ ˆŒ Ø!ˆŒÝÔ˜dœm°d´nÐEÑEÔEÐEØ ˆ>ÝØEñôð õ˜¥Ñ $Ô $ð "Ýœ9œ<Ô/×BÒBÀ6ÑJÔJˆDŒLˆLˆLà!ˆDŒLˆLˆLócó€—|j€td¦«‚tj¦«std¦«‚|jS)Nz@hparams Keras callback cannot be reused across training sessionsz>hparams Keras callback only supported in TensorFlow eager mode)rÚ RuntimeErrorrÚexecuting_eagerly)rs rÚ _get_writerzCallback._get_writerHsQ€Ø Œ<Ð ÝØRñôð õÔ#Ñ%Ô%ð ÝØPñôð ðŒ|ÐrcóÆ—~| ¦« ¦«5tj|j|j¬¦«ddd¦«dS#1swxYwYdS)Nr )r Ú as_defaultrrr r )rÚlogss rÚon_train_beginzCallback.on_train_beginSsµ€Ø Ø × Ò Ñ Ô × *Ò *Ñ ,Ô ,ð Gð GÝ Ô ˜tœ}°t´~Ð FÑ FÔ FÐ Fð Gð Gð Gñ Gô Gð Gð Gð Gð Gð Gð Gð Gøøøð Gð Gð Gð Gð Gð Gs¨!AÁAÁAcóV—~| ¦« ¦«5tjtj¦«}| ¦«}tjj jj   |d¬¦«ddd¦«n #1swxYwYd|_ dS)Nr)Ústep) r r"rÚsession_end_pbrÚSTATUS_SUCCESSÚSerializeToStringrrrÚ experimentalÚ write_raw_pbr)rr#ÚpbÚraw_pbs rÚ on_train_endzCallback.on_train_endXsÝ€Ø Ø × Ò Ñ Ô × *Ò *Ñ ,Ô ,ð Kð KÝÔ'­Ô(>Ñ?Ô?ˆBØ×)Ò)Ñ+Ô+ˆFÝ ŒIŒLÔ Ô -× :Ò :¸6ÈÐ :Ñ JÔ JÐ Jð Kð Kð Kñ Kô Kð Kð Kð Kð Kð Kð Køøøð Kð Kð Kð KðˆŒ ˆ ˆ s¨A#BÂBÂB)N)Ú__name__Ú __module__Ú __qualname__Ú__doc__rr r$r.©rrrrsn€€€€€ððð $"ð$"ð$"ð$"ðL ð ð ðGðGðGðGð ðððððrr) r2Ú tensorflowrÚtensorboard.plugins.hparamsrrrÚkerasÚ callbacksrr3rrúr8s™ðððð ÐÐÐà/Ð/Ð/Ð/Ð/Ð/Ø/Ð/Ð/Ð/Ð/Ð/Ø2Ð2Ð2Ð2Ð2Ð2ðBðBðBðBðBˆrŒxÔ!Ô*ñBôBðBðBðBr