BVh hdZddlmZddlmZedd d dZedd d dZy ) zProfiler client APIs.)_pywrap_profiler_plugin) deprecatedz 2020-07-01z,use `tf.profiler.experimental.client.trace`.c :tj||||||iy)aSends 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)rtrace) service_addrlogdir duration_ms worker_listinclude_dataset_opsnum_tracing_attemptss W/home/dcms/DCMS/lib/python3.12/site-packages/tensorflow/python/eager/profiler_client.py start_tracingrs'0 z.use `tf.profiler.experimental.client.monitor`.c2tj||||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. )rmonitor)rr monitoring_leveldisplay_timestamps r rr8s"$ ! ( (K!13D rN)T)F)__doc__#tensorflow.python.profiler.internalr"tensorflow.python.util.deprecationrrrrr rsYG9 LHI!&*'( JD LJKEJLr