o ®Ÿ?e( ã@sRdZddlmZddlmZeddƒ   dd d „ƒZedd ƒ ddd„ƒZdS)zProfiler client APIs.é)Ú_pywrap_profiler)Ú deprecatedz 2020-07-01z,use `tf.profiler.experimental.client.trace`.ÚTéc Cst ||||||i¡dS)a¤Sends grpc requests to profiler server to perform on-demand profiling. This method will block caller thread until receives tracing result. Args: service_addr: Address of profiler service e.g. localhost:6009. logdir: Path of TensorBoard log directory e.g. /tmp/tb_log. duration_ms: Duration of tracing or monitoring in ms. worker_list: The list of worker TPUs that we are about to profile in the current session. (TPU only) include_dataset_ops: Set to false to profile longer traces. num_tracing_attempts: Automatically retry N times when no trace event is collected. Raises: UnavailableError: If no trace event is collected. N)rÚtrace)Ú service_addrZlogdirÚ duration_msZ worker_listZinclude_dataset_opsZnum_tracing_attempts©r úh/home/www/facesmatcher.com/pyenv/lib/python3.10/site-packages/tensorflow/python/eager/profiler_client.pyÚ start_tracings ÿr z.use `tf.profiler.experimental.client.monitor`.éFcCst ||||¡S)a/Sends grpc requests to profiler server to perform on-demand monitoring. This method will block caller thread until receives monitoring result. Args: service_addr: Address of profiler service e.g. localhost:6009. duration_ms: Duration of tracing or monitoring in ms. monitoring_level: Choose a monitoring level between 1 and 2 to monitor your job. Level 2 is more verbose than level 1 and shows more metrics. display_timestamp: Set to true to display timestamp in monitoring result. Returns: A string of monitoring output. )rÚmonitor)rrZmonitoring_levelZdisplay_timestampr r r r 1s ÿr N)rTr)r F)Ú__doc__Z#tensorflow.python.profiler.internalrZ"tensorflow.python.util.deprecationrr r r r r r Ús   ûý