masahi commented on code in PR #10986:
URL: https://github.com/apache/tvm/pull/10986#discussion_r849888664
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python/tvm/meta_schedule/search_strategy/evolutionary_search.py:
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@@ -64,13 +64,13 @@ def __init__(
*,
num_trials_per_iter: int,
max_trials_per_task: int,
- population_size: int,
- init_measured_ratio: float,
- init_min_unmeasured: int,
- genetic_num_iters: int,
- genetic_mutate_prob: float,
- genetic_max_fail_count: int,
- eps_greedy: float,
+ population_size: int = 2048,
+ init_measured_ratio: float = 0.2,
+ init_min_unmeasured: int = 50,
+ genetic_num_iters: int = 4,
+ genetic_mutate_prob: float = 0.85,
+ genetic_max_fail_count: int = 10,
+ eps_greedy: float = 0.05,
Review Comment:
I don't know how often (if ever) we want to do this, but these default
parameters seem hand-picked, so naturally I wonder if tweaking these params can
lead to improvement. And if I do want to do that, the current API doesn't have
an easy API like `tune_relay(...)` with manually constructed
`EvolutionarySearch`.
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