huggingface / optimum Conditional Complexity

Intro

Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
Conditional complexity is measured at the unit level (methods, functions...).
Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).

Learn more...

Conditional Complexity Overall

There are 1,180 units with 12,176 lines of code in units (44.2% of code).

1 very complex units (418 lines of code)
3 complex units (400 lines of code)
36 medium complex units (1,625 lines of code)
92 simple units (1,718 lines of code)
1,048 very simple units (8,015 lines of code)

Legend:

51+

26-50

11-25

6-10

1-5

Alternative Visuals

3D view of all units

Conditional Complexity per Extension

51+

26-50

11-25

6-10

1-5

Conditional Complexity per Logical Component

primary logical decomposition

51+

26-50

11-25

6-10

1-5

Most Complex Units

Top 50 most complex units

Unit	# lines	McCabe index	# params
def __post_init__() in optimum/onnxruntime/training_args.py	418	67	1
def quantize_model() in optimum/gptq/quantizer.py	238	42	3
def _unify_onnx_outputs() in optimum/onnx/transformations_utils.py	85	33	3
def run() in optimum/fx/parallelization/passes.py	77	31	4
def patched_forward() in optimum/exporters/onnx/model_patcher.py	64	25	2
def _wrap_model() in optimum/onnxruntime/trainer.py	91	23	4
def reverse() in optimum/bettertransformer/transformation.py	45	21	1
def _revert() in optimum/bettertransformer/models/base.py	34	21	2
def validate_provider_availability() in optimum/onnxruntime/utils.py	40	17	1
def patched_forward() in optimum/exporters/onnx/model_patcher.py	26	17	2
def forward() in optimum/bettertransformer/models/encoder_models.py	87	17	7
def forward() in optimum/bettertransformer/models/encoder_models.py	89	17	7
def generate_dummy_inputs() in optimum/exporters/onnx/base.py	44	16	3
def main() in optimum/exporters/tflite/__main__.py	99	16	0
def from_dict() in optimum/configuration_utils.py	31	16	4
def set_last_layer() in optimum/bettertransformer/transformation.py	39	16	1
def forward() in optimum/bettertransformer/models/encoder_models.py	80	16	6
def transform() in optimum/fx/optimization/transformations.py	43	16	2
def create_optimizer() in optimum/onnxruntime/trainer.py	36	15	1
def replace_to_bettertransformer() in optimum/bettertransformer/transformation.py	33	14	2
def run() in optimum/fx/parallelization/passes.py	45	14	4
def to() in optimum/onnxruntime/base.py	37	13	3
def patched_build_delay_pattern_mask() in optimum/exporters/onnx/model_patcher.py	29	13	4
def validate_bettertransformer() in optimum/bettertransformer/models/base.py	30	13	1
def forward() in optimum/bettertransformer/models/encoder_models.py	73	13	4
def forward() in optimum/bettertransformer/models/encoder_models.py	48	13	7
def is_cross_entropy_parallel_compatible() in optimum/fx/parallelization/utils.py	17	13	1
def sharded_cross_entropy_wrapper_fn() in optimum/fx/parallelization/parallel_layers/loss.py	32	13	1
def _replace_by_quant_layers() in optimum/gptq/quantizer.py	54	13	4
def post_init_model() in optimum/gptq/quantizer.py	26	13	2
def check_and_save_model() in optimum/onnx/graph_transformations.py	35	12	3
def outputs() in optimum/exporters/onnx/model_configs.py	25	12	1
def forward() in optimum/bettertransformer/models/encoder_models.py	73	12	4
def forward() in optimum/bettertransformer/models/encoder_models.py	46	12	6
def _get_external_data_paths() in optimum/onnx/utils.py	17	11	2
def fit() in optimum/onnxruntime/runs/calibrator.py	44	11	1
def forward() in optimum/bettertransformer/models/encoder_models.py	41	11	5
def propagate() in optimum/fx/parallelization/op_registry/op_handlers.py	27	11	1
def stable_topological_sort() in optimum/fx/parallelization/utils.py	21	11	1
def try_collect_weight_map() in optimum/fx/parallelization/utils.py	24	11	3
def cast_slice_nodes_inputs_to_int32() in optimum/onnx/graph_transformations.py	20	10	1
def execute() in optimum/runs_base.py	34	10	1
def try_to_guess_data_keys() in optimum/utils/preprocessing/question_answering.py	11	10	2
def outputs() in optimum/exporters/onnx/base.py	20	10	1
def create_representative_dataset() in optimum/exporters/tflite/convert.py	12	10	2
def __init__() in optimum/bettertransformer/models/decoder_models.py	27	10	3
def propagate() in optimum/fx/parallelization/op_registry/op_handlers.py	19	10	1
def handle_hard_coded_axis_param() in optimum/fx/parallelization/passes.py	30	10	2
def try_to_guess_data_keys() in optimum/utils/preprocessing/text_classification.py	22	9	2
def run() in optimum/onnxruntime/subpackage/commands/quantize.py	32	9	1