jwfromm commented on a change in pull request #7823:
URL: https://github.com/apache/tvm/pull/7823#discussion_r616981235
##########
File path: tests/python/driver/tvmc/test_autoscheduler.py
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@@ -26,28 +24,30 @@
def _get_tasks(model):
- mod, params = tvmc.frontends.load_model(model)
- tasks, weights = tvmc.autotuner.autoscheduler_get_tuning_tasks(mod,
params, "llvm")
+ tvmc_model = tvmc.frontends.load_model(model)
+ tasks, weights = tvmc.autotuner.autoscheduler_get_tuning_tasks(
+ tvmc_model.mod, tvmc_model.params, "llvm"
+ )
return (tasks, weights)
-def _autoscheduler_test_helper(
- model, tmpdir_name, tasks_weights=None, early_stopping=1,
tuning_records=None
-):
- tasks, weights = tasks_weights if tasks_weights else _get_tasks(model)
+def _autoscheduler_test_helper(model, tmpdir_name, early_stopping=1,
prior_records=None):
+ tvmc_model = tvmc.frontends.load_model(model)
log_file = os.path.join(tmpdir_name, "autoscheduler.json")
- tuning_options = auto_scheduler.TuningOptions(
- num_measure_trials=1,
- measure_callbacks=[auto_scheduler.RecordToFile(log_file)],
- runner="local",
- builder="local",
- verbose=0,
+ hardware_params = auto_scheduler.HardwareParams(num_cores=4, target="llvm")
+
+ tvmc.tune(
+ tvmc_model,
+ target="llvm",
+ tuning_records=log_file,
+ prior_records=prior_records,
early_stopping=early_stopping,
+ enable_autoscheduler=True,
+ trials=32,
Review comment:
I've switched to testing an mnist model that requires only 4 trials and
runs much faster.
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