B Ò»ˆdóã@sbdZddlZddlZddlZddlmZddlmZddlm Z ddl m Z Gdd„de j ƒZ dS) z?Debugger wrapper session that dumps debug data to file:// URLs.éN)Ú event_pb2)Ú debug_data)Ú framework)Úgfilec@s"eZdZdZddd„Zdd„ZdS) ÚDumpingDebugWrapperSessionz:Debug Session wrapper that dumps debug data to filesystem.NTcCs„|rtjj|||||dtj |¡}t |¡r`t |¡sHt d|ƒ‚qjt  |¡rjt d|ƒ‚n t  |¡||_ d|_ t ¡|_dS)aXConstructor of DumpingDebugWrapperSession. Args: sess: The TensorFlow `Session` object being wrapped. session_root: (`str`) Path to the session root directory. Must be a directory that does not exist or an empty directory. If the directory does not exist, it will be created by the debugger core during debug `tf.Session.run` calls. As the `run()` calls occur, subdirectories will be added to `session_root`. The subdirectories' names has the following pattern: run__ E.g., run_1480734393835964_ad4c953a85444900ae79fc1b652fb324 watch_fn: (`Callable`) A Callable that can be used to define per-run debug ops and watched tensors. See the doc of `NonInteractiveDebugWrapperSession.__init__()` for details. thread_name_filter: Regular-expression white list for threads on which the wrapper session will be active. See doc of `BaseDebugWrapperSession` for more details. pass_through_operrors: If true, all captured OpErrors will be propagated. By default this captures all OpErrors. log_usage: (`bool`) whether the usage of this class is to be logged. Raises: ValueError: If `session_root` is an existing and non-empty directory or if `session_root` is a file. )Úwatch_fnÚthread_name_filterÚpass_through_operrorsz&session_root path points to a file: %sz5session_root path points to a non-empty directory: %srN)rÚ!NonInteractiveDebugWrapperSessionÚ__init__ÚosÚpathÚ expanduserrZExistsZ IsDirectoryÚ ValueErrorZ ListDirectoryZMakeDirsÚ _session_rootÚ _run_counterÚ threadingÚLockÚ_run_counter_lock)ÚselfÚsessZ session_rootrrr Z log_usage©rúb/var/www/html/venv/lib/python3.7/site-packages/tensorflow/python/debug/wrappers/dumping_wrapper.pyr s"#       z#DumpingDebugWrapperSession.__init__c Cs|j ¡tj |jdtt ¡dƒ|jf¡}|jd7_|j  ¡t   |¡t   ¡}t|ƒ|j_tj |tjtj¡}t  tj |¡d¡}| | ¡¡WdQRXt   ¡}|rÂt| ¡ƒnt|ƒ|j_tj |tjtj¡}t  tj |¡d¡}| | ¡¡WdQRXd|gS)aWImplementation of abstract method in superclass. See doc of `NonInteractiveDebugWrapperSession.prepare_run_debug_urls()` for details. This implementation creates a run-specific subdirectory under self._session_root and stores information regarding run `fetches` and `feed_dict.keys()` in the subdirectory. Args: fetches: Same as the `fetches` argument to `Session.run()` feed_dict: Same as the `feed_dict` argument to `Session.run()` Returns: debug_urls: (`str` or `list` of `str`) file:// debug URLs to be used in this `Session.run()` call. z run_%d_%dg€„.AéÚwbNzfile://)rÚacquirer r ÚjoinrÚintÚtimerÚreleaserZMkDirrÚEventÚreprÚ log_messageÚmessagerZMETADATA_FILE_PREFIXZFETCHES_INFO_FILE_TAGZOpenÚwriteZSerializeToStringÚkeysZFEED_KEYS_INFO_FILE_TAG) rZfetchesZ feed_dictZrun_dirZ fetches_eventZ fetches_pathÚfZfeed_keys_eventZfeed_keys_pathrrrÚprepare_run_debug_urlsXs,      z1DumpingDebugWrapperSession.prepare_run_debug_urls)NNNT)Ú__name__Ú __module__Ú __qualname__Ú__doc__r r'rrrrrs  4r)r+r rrZtensorflow.core.utilrZtensorflow.python.debug.librZ tensorflow.python.debug.wrappersrZtensorflow.python.platformrr rrrrrÚs