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Fix config expansion with empty options #1861

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Merged
merged 3 commits into from
Jun 12, 2024
Merged

Fix config expansion with empty options #1861

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3aca403
fixed the empty options
yiliu30 Jun 11, 2024
0ae8013
--amend
yiliu30 Jun 11, 2024
7344ea2
Merge branch 'master' into fix_expand
yiliu30 Jun 12, 2024
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fixed the empty options 
Signed-off-by: yiliu30 <[email protected]>
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@yiliu30
yiliu30 committed Jun 11, 2024
commit 3aca403b8d4fd9de18952d6f90c13c9e2b03eaef
1 change: 1 addition & 0 deletions neural_compressor/common/base_config.py
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Expand Up @@ -377,6 +377,7 @@ def expand(self) -> List[BaseConfig]:
if len(tuning_param_list) == 0:
config_list = [config]
else:
tuning_param_list = list(filter(lambda x: len(x.options) > 0, tuning_param_list))
tuning_param_name_lst = [tuning_param.name for tuning_param in tuning_param_list]
for params_values in product(*[tuning_param.options for tuning_param in tuning_param_list]):
tuning_param_pair = dict(zip(tuning_param_name_lst, params_values))
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5 changes: 5 additions & 0 deletions test/3x/common/test_common.py
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Expand Up @@ -277,6 +277,11 @@ def test_config_expand_complex_tunable_type(self):
for i in range(len(configs_list)):
self.assertEqual(configs_list[i].target_op_type_list, target_op_type_list_options[i])

def test_config_expand_with_empty_options(self):
configs = FakeAlgoConfig(weight_dtype=["int", "float32"], weight_bits=[])
configs_list = configs.expand()
self.assertEqual(len(configs_list), 2)

def test_mixed_two_algos(self):
model = FakeModel()
OP1_NAME = "OP1_NAME"
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