huggingface / optimum-neuron 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 1,089 units with 10,814 lines of code in units (36.3% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
29 medium complex units (1,191 lines of code)
61 simple units (1,726 lines of code)
999 very simple units (7,897 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 _load_models_to_neuron() in optimum/neuron/modeling_diffusion.py	37	19	3
def __post_init__() in optimum/neuron/training_args.py	58	16	1
def _get_model_param_count() in optimum/neuron/utils/training_utils.py	55	15	2
def new_fwd() in optimum/neuron/generation/utils.py	42	14	2
def get_relevant_parameter_names() in optimum/neuron/models/training/transformations_utils.py	46	14	2
def outputs() in optimum/exporters/neuron/model_configs.py	18	13	1
def _move_dict_args_to_device() in optimum/neuron/generation/utils.py	25	13	3
def create_optimizer() in optimum/neuron/trainers.py	31	13	1
def _save_xla() in optimum/neuron/trainers.py	40	13	2
def get_hf_hub_cache_repos() in optimum/neuron/utils/cache_utils.py	23	13	1
def _load_state_dict_into_model() in optimum/neuron/models/training/modeling_utils.py	24	13	3
def to_dict() in optimum/neuron/configuration_utils.py	30	13	1
def main() in tools/create_examples_from_transformers.py	59	13	0
def main() in tools/auto_fill_neuron_cache.py	82	13	0
def pack_dataset() in notebooks/text-generation/scripts/utils/pack_dataset.py	22	12	2
def forward() in optimum/exporters/neuron/base.py	23	12	2
def __init__() in optimum/neuron/trainers.py	25	12	3
def _maybe_log_save_evaluate() in optimum/neuron/trainers.py	47	12	8
def _save_checkpoint() in optimum/neuron/trainers.py	26	12	3
def get_available_cores() in optimum/neuron/utils/system.py	29	12	0
def adapt_peft_config() in optimum/neuron/models/training/transformations_utils.py	24	12	3
def adapt_peft_config() in optimum/neuron/models/training/transformations_utils.py	26	12	3
def step() in optimum/neuron/accelerate/optimizer.py	35	12	2
def step() in optimum/neuron/accelerate/scheduler.py	21	12	3
def get_node_results() in benchmark/text-generation-inference/performance/tgi_live_metrics.py	47	11	1
def add_stable_diffusion_compiler_args() in optimum/exporters/neuron/convert.py	12	11	2
def forward() in optimum/neuron/peft/tuners/lora/layer.py	43	11	4
def _fix_state_dict_key_on_load() in optimum/neuron/models/training/modeling_utils.py	16	11	1
def preshard_hook() in optimum/neuron/models/inference/backend/modules/attention/gqa.py	225	11	3
def _load_lora_weights_to_pipeline() in optimum/exporters/neuron/utils.py	20	10	2
def reset_lora_parameters() in optimum/neuron/peft/tuners/lora/layer.py	22	10	3
def __call__() in optimum/neuron/generation/logits_process.py	24	10	2
def generate() in optimum/neuron/utils/input_generators.py	50	10	5
def context_encoder_bk() in optimum/neuron/models/inference/backend/modules/autobucketing.py	23	10	4
def apply_activation_checkpointing() in optimum/neuron/accelerate/utils/misc.py	22	10	3
def main() in benchmark/text-generation/performance/gen_barcharts.py	51	9	0
def create_accelerator_and_postprocess() in optimum/neuron/trainers.py	81	9	1
def has_write_access_to_repo() in optimum/neuron/utils/cache_utils.py	22	9	1
def _forward_with_pad() in optimum/neuron/models/inference/backend/modules/decoder/decoder_wrapper.py	29	9	6
def forward() in optimum/neuron/models/inference/backend/modules/decoder/decoder_wrapper.py	34	9	6
def get_flash_attention_strategy() in optimum/neuron/models/inference/backend/modules/attention/attention_base.py	16	9	2
def maybe_pad_interleaved() in optimum/neuron/models/inference/backend/modules/attention/gqa.py	21	9	5
def _kernel_enabled_mlp() in optimum/neuron/models/inference/llama/modeling_llama.py	67	9	5
def from_dict() in optimum/neuron/configuration_utils.py	29	9	3
def __init__() in optimum/neuron/accelerate/state.py	35	9	3
def allreduce_sequence_parallel_gradients() in optimum/neuron/accelerate/optimizer.py	13	9	1
def _xla_gather() in optimum/neuron/accelerate/utils/operations.py	32	9	2
def run() in optimum/commands/neuron/cache.py	28	8	1
def postprocess() in optimum/neuron/pipelines/transformers/sentence_transformers.py	9	8	3
def save_mutated_as_lora() in optimum/neuron/peft/peft_model.py	35	8	4