Source code for ray.profiling

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import ray

class _NullLogSpan(object):
    """A log span context manager that does nothing"""

    def __enter__(self):

    def __exit__(self, type, value, tb):

NULL_LOG_SPAN = _NullLogSpan()

[docs]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 with ray.profile("custom event", extra_data={'key': 'value'}): # 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. """ worker = ray.worker.global_worker if worker.mode == ray.worker.LOCAL_MODE: return NULL_LOG_SPAN return worker.core_worker.profile_event( event_type.encode("ascii"), extra_data)