# Copyright 2017 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Profiler client APIs.""" from tensorflow.python.profiler.internal import _pywrap_profiler from tensorflow.python.util.deprecation import deprecated @deprecated('2020-07-01', 'use `tf.profiler.experimental.client.trace`.') def start_tracing(service_addr, logdir, duration_ms, worker_list='', include_dataset_ops=True, num_tracing_attempts=3): """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. """ _pywrap_profiler.trace(service_addr, logdir, worker_list, include_dataset_ops, duration_ms, num_tracing_attempts, {}) @deprecated('2020-07-01', 'use `tf.profiler.experimental.client.monitor`.') def monitor(service_addr, duration_ms, monitoring_level=1, display_timestamp=False): """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. """ return _pywrap_profiler.monitor(service_addr, duration_ms, monitoring_level, display_timestamp)