def monitor(service_addr, duration_ms, level=1):
"""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.
```python
for query in range(0, 100):
print(tf.profiler.experimental.client.monitor('grpc://10.0.0.2:8466', 1000))
"""
return _pywrap_profiler.monitor(_strip_prefix(service_addr, _GRPC_PREFIX),
duration_ms, level, True)
def monitor(service_addr, duration_ms, level=1):
"""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 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.
"""
return _pywrap_profiler.monitor(service_addr, duration_ms, level, True)
