huggingface / pytorch-image-models 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).

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Conditional Complexity Overall

There are 4,906 units with 41,972 lines of code in units (52.6% of code).

2 very complex units (711 lines of code)
5 complex units (664 lines of code)
54 medium complex units (2,341 lines of code)
212 simple units (4,952 lines of code)
4,633 very simple units (33,304 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 main() in train.py	548	90	0
def main() in inference.py	163	55	0
def validate() in validate.py	212	44	1
def _load_weights() in timm/models/vision_transformer.py	136	42	4
def _decode_block_str() in timm/models/_efficientnet_builder.py	115	33	1
def main() in avg_checkpoints.py	72	28	0
def step() in timm/optim/kron.py	129	26	2
def generate_readme() in timm/models/_hub.py	60	25	2
def get_attn() in timm/layers/create_attn.py	49	25	1
def step() in timm/optim/lamb.py	63	24	2
def forward_features() in timm/models/coat.py	64	24	2
def _make_block() in timm/models/_efficientnet_builder.py	52	24	4
def __iter__() in timm/data/naflex_dataset.py	37	23	1
def __call__() in timm/models/_efficientnet_builder.py	71	23	3
def _prepare_epoch_batches() in timm/data/naflex_dataset.py	54	22	2
def __iter__() in timm/data/readers/reader_tfds.py	25	21	1
def step() in timm/optim/adabelief.py	80	20	2
def _resolve_pretrained_source() in timm/models/_builder.py	36	20	2
def register_model() in timm/models/_registry.py	45	20	2
def __iter__() in timm/data/naflex_loader.py	53	19	1
def update_block_kwargs() in timm/models/byobnet.py	23	19	4
def step() in timm/optim/rmsprop_tf.py	59	18	2
def step() in timm/optim/adafactor.py	78	18	2
def _create_canonical_schedule() in timm/data/naflex_dataset.py	54	18	1
def checkpoint_filter_fn() in timm/models/fastvit.py	58	18	2
def checkpoint_filter_fn() in timm/models/naflexvit.py	56	18	3
def get_norm_act_layer() in timm/layers/create_norm_act.py	39	18	2
def convert() in convert/convert_from_mxnet.py	37	17	2
def step() in timm/optim/madgrad.py	67	15	3
def _parse_split_info() in timm/data/readers/reader_wds.py	44	15	2
def adapt_model_from_string() in timm/models/_prune.py	54	15	2
def benchmark() in benchmark.py	50	15	1
def step() in timm/optim/adan.py	70	14	2
def step() in timm/optim/nvnovograd.py	43	14	2
def checkpoint_filter_fn() in timm/models/convnext.py	36	14	2
def forward() in timm/layers/norm_act.py	32	14	2
def step() in timm/optim/lars.py	42	13	2
def _init_weights() in timm/models/sequencer.py	30	13	4
def forward_features() in timm/models/visformer.py	28	13	2
def forward_train() in timm/models/volo.py	36	13	2
def checkpoint_filter_fn() in timm/models/coat.py	13	13	2
def _update_default_model_kwargs() in timm/models/_builder.py	24	13	3
def _pos_embed() in timm/models/eva.py	34	13	2
def step() in timm/optim/laprop.py	45	12	2
def _lazy_init() in timm/data/readers/reader_tfds.py	50	12	1
def fast_collate() in timm/data/loader.py	34	12	1
def save_checkpoint() in timm/utils/checkpoint_saver.py	33	12	3
def checkpoint_filter_fn() in timm/models/swin_transformer.py	34	12	2
def _init_weights() in timm/models/mlp_mixer.py	26	12	4
def checkpoint_filter_fn() in timm/models/mvitv2.py	39	12	2