zxybazh commented on code in PR #10986:
URL: https://github.com/apache/tvm/pull/10986#discussion_r851882052
##########
tests/python/unittest/test_meta_schedule_tune_relay.py:
##########
@@ -144,14 +144,19 @@ def test_meta_schedule_tune_relay(
mod=mod,
params=params,
target=target,
- config=ReplayTraceConfig(
+ config=TuneConfig(
+ strategy="evolutionary",
num_trials_per_iter=32,
- max_trials_per_task=32,
+ max_trials_per_task=20000,
Review Comment:
In this case, I think `max_trials_global` is the default for
`max_trials_per_task`, except when we want to limit the trials for each task.
In these cases, if the search space is very small, the evolutionary search
strategy would do an early stopping; when we only want to do test, we can limit
the `max_trials_global` to be a small number close to
`num_trials_per_iter*task_num`. Therefore, I think it could be a good move to
use `max_trials_global` as default to `max_trials_per_task` unless specified.
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