openai / image-gpt - 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).

Conditional Complexity Overall

Legend:

51+

26-50

11-25

6-10

1-5

Alternative Visuals

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 32 most complex units

Unit	# lines	McCabe index	# params
def main() in download.py	27	12	1
def main() in src/run.py	30	8	1
def model() in src/model.py	56	8	6
def sample() in src/run.py	12	6	9
def iter_data() in src/utils.py	13	6	5
def create_model() in src/run.py	22	4	4
def attn() in src/model.py	40	4	6
def evaluate() in src/run.py	6	3	11
def shape_list() in src/model.py	4	3	1
def count_parameters() in src/utils.py	9	3	0
def parse_arguments() in src/run.py	22	2	0
def reduce_mean() in src/run.py	11	2	5
def parse_arguments() in download.py	11	1	0
def set_seed() in src/run.py	4	1	1
def load_data() in src/run.py	8	1	1
def set_hparams() in src/run.py	11	1	1
def default_hparams() in src/model.py	8	1	0
def softmax() in src/model.py	4	1	2
def gelu() in src/model.py	2	1	1
def gelu2() in src/model.py	2	1	1
def norm() in src/model.py	8	1	5
def split_states() in src/model.py	3	1	2
def merge_states() in src/model.py	3	1	1
def conv1d() in src/model.py	6	1	5
def attention_mask() in src/model.py	5	1	4
def mlp() in src/model.py	6	1	5
def block() in src/model.py	8	1	5
def past_shape() in src/model.py	2	1	4
def expand_tile() in src/model.py	4	1	2
def positions_for() in src/model.py	4	1	2
def squared_euclidean_distance() in src/utils.py	7	1	2
def color_quantize() in src/utils.py	5	1	2