jcf94 commented on a change in pull request #7197:
URL: https://github.com/apache/tvm/pull/7197#discussion_r551211822
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File path: python/tvm/auto_scheduler/cost_model/xgb_model.py
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@@ -141,6 +146,12 @@ def update(self, inputs, results):
self.inputs.extend(inputs)
self.results.extend(results)
+ if len(self.inputs) - self.last_train_length < self.last_train_length
/ 5:
Review comment:
When there're too many logs, auto scheduler will spent much time on cost
model training than program measuring in each search round.
This modification is just used to reduce the times of cost model training.
At the beginning, we train the cost model in each search round, and when many
logs are accumulated, we train the cost model after several search rounds.
`len(self.inputs) - self.last_train_length` is the increased measure pairs
since last training, we should not just use `len(inputs)`.
And the number 5 is just a magic number I pick, I'm not sure how to choose a
better threshold.
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