tf.profiler.experimental.client.monitor

Sends grpc requests to profiler server to perform on-demand monitoring.

The monitoring result is a light weight performance summary of your model execution. This method will block the caller thread until it receives the monitoring result. This method currently supports Cloud TPU only.

Args
service_addr gRPC address of profiler service e.g. grpc://10.0.0.2:8466.
duration_ms Duration of monitoring in ms.
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.
Returns
A string of monitoring output.

Example usage:

# Continuously send gRPC requests to the Cloud TPU to monitor the model
# execution.

for query in range(0, 100):
  print(
    tf.profiler.experimental.client.monitor('grpc://10.0.0.2:8466', 1000))

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/profiler/experimental/client/monitor