syne_tune.optimizer.schedulers.utils.simple_profiler module

class syne_tune.optimizer.schedulers.utils.simple_profiler.ProfilingBlock(meta, time_stamp, durations)

Bases: object

meta: Dict[str, Any]

time_stamp: float

durations: Dict[str, List[float]]

class syne_tune.optimizer.schedulers.utils.simple_profiler.SimpleProfiler

Bases: object

Useful to profile time of recurring computations, for example get_config calls in searchers.

Measurements are divided into blocks. A block is started by begin_block. Each block stores meta data, a time stamp when begin_block was called (relative to the time stamp for the first block, which is 0), and a dict of lists of durations, whose keys are tags. A tag corresponds to a range of code to be profiled. It may be executed many times within a block, therefore lists of durations.

Tags can have multiple levels of prefixes, corresponding to brackets.

begin_block(meta)

push_prefix(prefix)

pop_prefix()

start(tag)

stop(tag)

clear()

records_as_dict()

Return records as a dict of lists, can be converted into Pandas data-frame by: :rtype: Dict[str, Any]

pandas.DataFrame.fromDict(…)

Each entry corresponds to a column.