jcf94 commented on a change in pull request #7197:
URL: https://github.com/apache/tvm/pull/7197#discussion_r551816877
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File path: python/tvm/auto_scheduler/task_scheduler.py
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@@ -82,11 +82,12 @@ def make_search_policies(
if isinstance(search_policy, str):
policy_type, model_type = search_policy.split(".")
if model_type == "xgb":
- cost_model = XGBModel(num_warmup_sample=len(tasks) *
num_measures_per_round)
- if load_model_file:
- logger.info("TaskScheduler: Load pretrained model...")
- cost_model.load(load_model_file)
- elif load_log_file:
+ cost_model = XGBModel(
+ num_warmup_sample=len(tasks) * num_measures_per_round,
+ model_file=load_model_file,
+ )
+ if load_log_file:
+ logger.info("TaskScheduler: Reload measured states and train
the model...")
Review comment:
Oh, the old one is fine. I was just going to add a `self.model_file`
for cost model saving after training, this was modified by the way.
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