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[TEST] default preset to mixed #2839

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[TEST] default preset to mixed #2839

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61a84ee
default preset to mixed
kshpv Jul 23, 2024
9726541
add preset log
kshpv Jul 30, 2024
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5 changes: 1 addition & 4 deletions nncf/quantization/algorithms/min_max/algorithm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -203,10 +203,7 @@ def __init__(

# preset definition
if self._preset is None:
if model_type == ModelType.TRANSFORMER:
self._preset = QuantizationPreset.MIXED
else:
self._preset = QuantizationPreset.PERFORMANCE
self._preset = QuantizationPreset.MIXED

self._override_device()
self._set_mode_based_defaults()
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12 changes: 10 additions & 2 deletions tests/openvino/tools/calibrate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -41,6 +41,7 @@

import nncf
from nncf.common.deprecation import warning_deprecated
from nncf.common.logging.logger import nncf_logger
from nncf.common.logging.logger import set_log_file
from nncf.common.quantization.structs import QuantizationPreset
from nncf.common.quantization.structs import QuantizationScheme
Expand Down Expand Up @@ -1076,22 +1077,29 @@ def update_nncf_algorithms_config(nncf_algorithms_config: Dict[str, Dict[str, An
print(f"Updated subset_size value for {nncf_method} method to {new_subset_size} ")


def upd_preset(nncf_algorithms_config: Dict[str, Dict[str, Any]]) -> None:
for _, config in nncf_algorithms_config.items():
upd_preset = "mixed"
config["preset"] = QuantizationPreset(upd_preset)
nncf_logger.info(f"Updated preset value to {upd_preset} ")


def main():
args = parse_args()
if args.impl is not None:
print("--impl option is deprecated and will have no effect. Only native calibration allowed.")
config = Config.read_config(args.config)
config = filter_configuration(config)

set_log_file(f"{args.output_dir}/log.txt")
xml_path, bin_path = get_model_paths(config.model)
accuracy_checker_config = get_accuracy_checker_config(config.engine)
nncf_algorithms_config = get_nncf_algorithms_config(config.compression, args.output_dir)
upd_preset(nncf_algorithms_config)
assert args.batch_size >= 0
if args.batch_size > 1:
update_accuracy_checker_config(accuracy_checker_config, args.batch_size)
update_nncf_algorithms_config(nncf_algorithms_config, args.batch_size)

set_log_file(f"{args.output_dir}/log.txt")
output_dir = os.path.join(args.output_dir, "optimized")
os.makedirs(output_dir, exist_ok=True)

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