Repository URL to install this package:
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Version:
2.0.0rc1 ▾
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import os
import ray
class _NullLogSpan:
"""A log span context manager that does nothing"""
def __enter__(self):
pass
def __exit__(self, type, value, tb):
pass
PROFILING_ENABLED = "RAY_PROFILING" in os.environ
NULL_LOG_SPAN = _NullLogSpan()
def profile(event_type, extra_data=None):
"""Profile a span of time so that it appears in the timeline visualization.
Note that this only works in the raylet code path.
This function can be used as follows (both on the driver or within a task).
.. code-block:: python
import ray._private.profiling as profiling
with profiling.profile("custom event", extra_data={'key': 'val'}):
# Do some computation here.
Optionally, a dictionary can be passed as the "extra_data" argument, and
it can have keys "name" and "cname" if you want to override the default
timeline display text and box color. Other values will appear at the bottom
of the chrome tracing GUI when you click on the box corresponding to this
profile span.
Args:
event_type: A string describing the type of the event.
extra_data: This must be a dictionary mapping strings to strings. This
data will be added to the json objects that are used to populate
the timeline, so if you want to set a particular color, you can
simply set the "cname" attribute to an appropriate color.
Similarly, if you set the "name" attribute, then that will set the
text displayed on the box in the timeline.
Returns:
An object that can profile a span of time via a "with" statement.
"""
if not PROFILING_ENABLED:
return NULL_LOG_SPAN
worker = ray._private.worker.global_worker
if worker.mode == ray._private.worker.LOCAL_MODE:
return NULL_LOG_SPAN
return worker.core_worker.profile_event(event_type.encode("ascii"), extra_data)