qualcomm/aimet

25.5

Adjusted Score

25.5

Raw Score

100%

Time Factor

2026-07-14

Last Push

2.7K

Stars

Python

Language

297.8K

Lines of Code

1.1K

Files

4.8K

Pattern Hits

2026-07-14

Scan Date

0.38

HC Hit Rate

What These Metrics Mean

Adjusted Score: Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score: The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor: The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits: Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate: High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files: Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.

No multi-scan history yet — run the scanner again to build trend data.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 8HIGH 411MEDIUM 588LOW 3804

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 4811 distinct pattern matches across 24 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Hyper-Verbose Identifiers2444 hits · 2212 pts

Severity	File	Line	Snippet	Context
LOW	packaging/dependencies.py	46	def _get_pip_reqs_for_framework(	CODE
LOW	GenAILab/bench/metrics.py	103	def _compute_loss_from_logits(	CODE
LOW	GenAILab/bench/yaml_config_parser.py	269	def get_required_export_adaptations(cls, model_type: str) -> list[str]:	CODE
LOW	GenAILab/bench/recipe_cache.py	587	def _serialize_dataset_config(dataset_config: dict) -> dict:	CODE
LOW	GenAILab/bench/datasets.py	256	def _format_question_and_answer(	CODE
LOW	GenAILab/bench/datasets.py	395	def _format_question_and_answer(	CODE
LOW	GenAILab/bench/datasets.py	471	def assemble_fewshot_question(formatted_question: str, subject: str):	CODE
LOW	GenAILab/bench/profiler.py	44	def convert_gpu_meter_to_dict(	CODE
LOW	GenAILab/bench/profiler.py	145	def _aggregate_resource_utilization(	CODE
LOW	GenAILab/bench/profiler.py	172	def _serialize_component_stats(	CODE
LOW	GenAILab/bench/profiler.py	246	def dict_to_postgres_csv_json_field(d):	CODE
LOW	GenAILab/bench/torch/test_genai.py	286	def _last_calibration_for_onnx(steps):	CODE
LOW	GenAILab/tests/unit/conftest.py	29	def _permissive_register_model(cls, model_type):	CODE
LOW⚡	GenAILab/tests/unit/onnx/test_quantsim_utils.py	19	def test_cuda_device_with_index(self):	CODE
LOW⚡	GenAILab/tests/unit/onnx/test_quantsim_utils.py	27	def test_cuda_device_without_index(self):	CODE
LOW⚡	GenAILab/tests/unit/onnx/test_quantsim_utils.py	35	def test_sets_and_restores_attribute(self):	CODE
LOW	GenAILab/tests/unit/onnx/test_quantsim_utils.py	46	def test_creates_and_removes_new_attribute(self):	CODE
LOW	GenAILab/tests/unit/onnx/test_quantsim_utils.py	58	def test_restores_class_level_attribute(self):	CODE
LOW	GenAILab/tests/unit/onnx/test_quantsim_utils.py	72	def test_ties_past_key_value_quantizers(self, tmp_path):	CODE
LOW	GenAILab/tests/unit/onnx/test_quantsim_utils.py	121	def test_disables_activation_quantizers(self):	CODE
LOW	GenAILab/tests/unit/onnx/test_quantsim_utils.py	143	def test_float_precision_skips_tying(self):	CODE
LOW	GenAILab/tests/unit/onnx/test_quantsim_utils.py	154	def test_int_precision_ties_and_sets_symmetric(self):	CODE
LOW	GenAILab/tests/unit/onnx/test_generator_utils.py	17	def test_fp_mode_removes_quant_nodes(self):	CODE
LOW	GenAILab/tests/unit/onnx/test_generator_utils.py	49	def test_handles_visual_model(self):	CODE
LOW	GenAILab/tests/unit/onnx/test_generator_utils.py	96	def test_wraps_backbone_in_torch_onnx_interface(self):	CODE
LOW	GenAILab/tests/unit/onnx/test_generator_utils.py	127	def test_vlm_wraps_both_models(self):	CODE
LOW	GenAILab/tests/unit/onnx/test_generator_utils.py	186	def test_reassembles_list_outputs(self):	CODE
LOW	GenAILab/tests/unit/onnx/test_generator_utils.py	208	def test_no_list_outputs_passthrough(self):	CODE
LOW⚡	GenAILab/tests/unit/onnx/test_quantsim_instantiation.py	61	def test_default_precision_when_none(self):	CODE
LOW⚡	GenAILab/tests/unit/onnx/test_quantsim_instantiation.py	68	def test_calls_set_lm_head_precision(self):	CODE
LOW⚡	GenAILab/tests/unit/onnx/test_quantsim_instantiation.py	74	def test_calls_resolve_kv_cache(self):	CODE
LOW⚡	GenAILab/tests/unit/onnx/test_quantsim_instantiation.py	80	def test_calls_block_granularity(self):	CODE
LOW	GenAILab/tests/unit/onnx/test_quantsim_instantiation.py	95	def test_returns_sim_collection_with_config(self):	CODE
LOW	GenAILab/tests/unit/torch/test_quantsim_utils.py	20	def test_lpbq_calls_grouped_blockwise(self):	CODE
LOW	GenAILab/tests/unit/torch/test_quantsim_utils.py	65	def test_pcq_does_not_call_block_functions(self):	CODE
LOW	GenAILab/tests/unit/torch/test_quantsim_utils.py	87	def test_lpbq_calls_grouped_blockwise(self):	CODE
LOW	GenAILab/tests/unit/torch/test_quantsim_utils.py	117	def test_pcq_sets_bitwidth_directly(self):	CODE
LOW	GenAILab/tests/unit/torch/test_generator_utils.py	52	def test_fp_mode_disables_quantizers(self):	CODE
LOW	GenAILab/tests/unit/torch/test_generator_utils.py	77	def test_handles_visual_model(self):	CODE
LOW	GenAILab/tests/unit/torch/test_generator_utils.py	111	def test_on_device_places_models(self):	CODE
LOW	GenAILab/tests/unit/torch/test_generator_utils.py	139	def test_creates_generator_for_llm(self):	CODE
LOW	GenAILab/tests/unit/torch/test_generator_utils.py	163	def test_creates_vlm_generator_for_vlm(self):	CODE
LOW	…nAILab/tests/unit/torch/test_quantsim_instantiation.py	51	def test_default_precision_used_when_none(self):	CODE
LOW	…nAILab/tests/unit/torch/test_quantsim_instantiation.py	190	def test_returns_sim_collection(self):	CODE
LOW	…Lab/tests/unit/models/test_hub_compatible_generator.py	75	def test_prepare_inputs_adds_rope(self, hub_gen, llama_config):	CODE
LOW	…Lab/tests/unit/models/test_hub_compatible_generator.py	93	def test_prepare_inputs_kv_permutation(self, hub_gen, llama_config):	CODE
LOW	…Lab/tests/unit/models/test_hub_compatible_generator.py	125	def test_extra_kwargs_accepted_as_tensors(self, hub_gen, llama_config):	CODE
LOW	…Lab/tests/unit/models/test_hub_compatible_generator.py	137	def test_combine_outputs_kv_back_to_hf(self, hub_gen, llama_config):	CODE
LOW⚡	GenAILab/tests/unit/models/test_generator.py	432	def test_returns_causal_lm_output(self, gen):	CODE
LOW⚡	GenAILab/tests/unit/models/test_generator.py	437	def test_logits_strip_padding(self, gen):	CODE
LOW⚡	GenAILab/tests/unit/models/test_generator.py	464	def test_long_input_multi_slice(self, gen):	CODE
LOW⚡	GenAILab/tests/unit/models/test_generator.py	470	def test_creates_default_attention_mask(self, gen):	CODE
LOW⚡	GenAILab/tests/unit/models/test_generator.py	475	def test_both_ids_and_embeds_raises(self, gen, cfg):	CODE
LOW⚡	GenAILab/tests/unit/models/test_generator.py	489	def test_yields_prepared_inputs(self, gen):	CODE
LOW⚡	GenAILab/tests/unit/models/test_generator.py	503	def test_multi_slice_yields_multiple(self, gen):	CODE
LOW⚡	GenAILab/tests/unit/models/test_generator.py	515	def test_first_call_no_stripping(self, gen):	CODE
LOW⚡	GenAILab/tests/unit/models/test_generator.py	524	def test_strips_consumed_tokens(self, gen, cfg):	CODE
LOW⚡	GenAILab/tests/unit/models/test_generator.py	569	def test_logits_strip_padding(self, gen, cfg):	CODE
LOW⚡	GenAILab/tests/unit/models/test_generator.py	650	def test_linear_layer_state_replaced_not_concatenated(self):	CODE
LOW⚡	GenAILab/tests/unit/models/test_generator.py	702	def _make_sliding_descriptors(window_size=32):	CODE
2384 more matches not shown…

Cross-File Repetition373 hits · 1865 pts

Severity	File	Line	Snippet	Context
HIGH	ModelOptimizations/PyModelOptimizations/_quant_enums.py	0	shared quantization enums used by cython modules. this module provides intenum classes that are shared between _libpymo	STRING
HIGH	…gExtensions/onnx/src/python/aimet_onnx/_quant_enums.py	0	shared quantization enums used by cython modules. this module provides intenum classes that are shared between _libpymo	STRING
HIGH	…nsions/common/src/python/_aimet_common/_quant_enums.py	0	shared quantization enums used by cython modules. this module provides intenum classes that are shared between _libpymo	STRING
HIGH	GenAILab/qai_hub_lm/backends/onnx/internvl.py	0	export (or load) the raw float backbone/visual onnx models + embedding. separated from :meth:`instantiate_quantsim` so t	STRING
HIGH	GenAILab/qai_hub_lm/backends/onnx/qwen2_vl.py	0	export (or load) the raw float backbone/visual onnx models + embedding. separated from :meth:`instantiate_quantsim` so t	STRING
HIGH	GenAILab/qai_hub_lm/backends/onnx/qwen3_vl.py	0	export (or load) the raw float backbone/visual onnx models + embedding. separated from :meth:`instantiate_quantsim` so t	STRING
HIGH	GenAILab/qai_hub_lm/backends/onnx/gemma4.py	0	export (or load) the raw float backbone/visual onnx models + embedding. separated from :meth:`instantiate_quantsim` so t	STRING
HIGH	GenAILab/qai_hub_lm/backends/onnx/gemma3.py	0	export (or load) the raw float backbone/visual onnx models + embedding. separated from :meth:`instantiate_quantsim` so t	STRING
HIGH	GenAILab/qai_hub_lm/backends/onnx/internvl.py	0	export the torch model to onnx and return a :class:`modelcacheentry`.	STRING
HIGH	GenAILab/qai_hub_lm/backends/onnx/qwen2_vl.py	0	export the torch model to onnx and return a :class:`modelcacheentry`.	STRING
HIGH	GenAILab/qai_hub_lm/backends/onnx/qwen3_vl.py	0	export the torch model to onnx and return a :class:`modelcacheentry`.	STRING
HIGH	GenAILab/qai_hub_lm/backends/onnx/gemma4.py	0	export the torch model to onnx and return a :class:`modelcacheentry`.	STRING
HIGH	GenAILab/qai_hub_lm/backends/onnx/gemma3.py	0	export the torch model to onnx and return a :class:`modelcacheentry`.	STRING
HIGH	Docs/snippets/onnx/apply_litemp.py	0	returns calibration and evaluation data-loader for imagenet dataset from provided path	STRING
HIGH	Docs/snippets/onnx/apply_quantsim.py	0	returns calibration and evaluation data-loader for imagenet dataset from provided path	STRING
HIGH	Docs/snippets/torch/apply_quantsim.py	0	returns calibration and evaluation data-loader for imagenet dataset from provided path	STRING
HIGH	…acy/torch_code_examples/model_preparer_code_example.py	0	model that uses functional modules instead of nn.modules. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…Extensions/onnx/test/python/models/models_for_tests.py	0	model that uses functional modules instead of nn.modules. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…ningExtensions/torch/test/python/models/test_models.py	0	model that uses functional modules instead of nn.modules. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…Extensions/torch/test/python/v2/models_/test_models.py	0	model that uses functional modules instead of nn.modules. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…s/torch/src/python/aimet_torch/examples/test_models.py	0	model that uses functional modules instead of nn.modules. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…ngExtensions/torch/test/python/test_model_validator.py	0	model that uses functional modules instead of nn.modules. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…acy/torch_code_examples/model_preparer_code_example.py	0	model that uses single relu instances multiple times in the forward. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…Extensions/onnx/test/python/models/models_for_tests.py	0	model that uses single relu instances multiple times in the forward. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…ningExtensions/torch/test/python/models/test_models.py	0	model that uses single relu instances multiple times in the forward. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…Extensions/torch/test/python/v2/models_/test_models.py	0	model that uses single relu instances multiple times in the forward. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…s/torch/src/python/aimet_torch/examples/test_models.py	0	model that uses single relu instances multiple times in the forward. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…cy/torch_code_examples/model_validator_code_example.py	0	model that reuses a relu module. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…Extensions/onnx/test/python/models/models_for_tests.py	0	model that reuses a relu module. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…ningExtensions/torch/test/python/models/test_models.py	0	model that reuses a relu module. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…Extensions/torch/test/python/v2/models_/test_models.py	0	model that reuses a relu module. expects input of shape (1, 3, 32, 32)	STRING
HIGH	…s/torch/src/python/aimet_torch/examples/test_models.py	0	model that reuses a relu module. expects input of shape (1, 3, 32, 32)	STRING
HIGH	Examples/onnx/utils/image_net_evaluator.py	0	:param images_dir: the path to the data directory :param image_size: the length of the image :param batch_size: the batc	STRING
HIGH	Examples/torch/utils/image_net_trainer.py	0	:param images_dir: the path to the data directory :param image_size: the length of the image :param batch_size: the batc	STRING
HIGH	Examples/torch/utils/image_net_evaluator.py	0	:param images_dir: the path to the data directory :param image_size: the length of the image :param batch_size: the batc	STRING
HIGH	Examples/torch/utils/image_net_evaluator.py	0	evaluate the specified model using the specified number of samples from the validation set. :param model: the model to b	STRING
HIGH	Examples/torch/quantization/range_learning.py	0	evaluate the specified model using the specified number of samples from the validation set. :param model: the model to b	STRING
HIGH	…ples/torch/quantization/quantization_aware_training.py	0	evaluate the specified model using the specified number of samples from the validation set. :param model: the model to b	STRING
HIGH	Examples/torch/quantization/adaround.py	0	evaluate the specified model using the specified number of samples from the validation set. :param model: the model to b	STRING
HIGH	Examples/torch/quantization/range_learning.py	0	provides apis for model quantization using evaluation and finetuning.	STRING
HIGH	…ples/torch/quantization/quantization_aware_training.py	0	provides apis for model quantization using evaluation and finetuning.	STRING
HIGH	Examples/torch/quantization/adaround.py	0	provides apis for model quantization using evaluation and finetuning.	STRING
HIGH	Examples/torch/quantization/range_learning.py	0	finetunes the model. the implemtation provided here is just an example, provide your own implementation if needed. :para	STRING
HIGH	Examples/torch/compression/weight_svd.py	0	finetunes the model. the implemtation provided here is just an example, provide your own implementation if needed. :para	STRING
HIGH	Examples/torch/compression/channel_pruning.py	0	finetunes the model. the implemtation provided here is just an example, provide your own implementation if needed. :para	STRING
HIGH	Examples/torch/compression/spatial_svd_cp.py	0	finetunes the model. the implemtation provided here is just an example, provide your own implementation if needed. :para	STRING
HIGH	Examples/torch/compression/spatial_svd.py	0	finetunes the model. the implemtation provided here is just an example, provide your own implementation if needed. :para	STRING
HIGH	Examples/torch/compression/channel_pruning.py	0	provides apis for model compression using aimet weight svd, evaluation and finetuning.	STRING
HIGH	Examples/torch/compression/weight_svd.py	0	provides apis for model compression using aimet weight svd, evaluation and finetuning.	STRING
HIGH	Examples/torch/compression/spatial_svd_cp.py	0	provides apis for model compression using aimet weight svd, evaluation and finetuning.	STRING
HIGH	Examples/torch/compression/spatial_svd.py	0	provides apis for model compression using aimet weight svd, evaluation and finetuning.	STRING
HIGH	Examples/torch/compression/channel_pruning.py	0	evaluate the specified model using the specified number of samples from the validation set. aimet's compress_model() exp	STRING
HIGH	Examples/torch/compression/weight_svd.py	0	evaluate the specified model using the specified number of samples from the validation set. aimet's compress_model() exp	STRING
HIGH	Examples/torch/compression/spatial_svd_cp.py	0	evaluate the specified model using the specified number of samples from the validation set. aimet's compress_model() exp	STRING
HIGH	Examples/torch/compression/spatial_svd.py	0	evaluate the specified model using the specified number of samples from the validation set. aimet's compress_model() exp	STRING
HIGH	Examples/torch/compression/channel_pruning.py	0	1. instantiate data pipeline for evaluation and training 2. load the pretrained resnet18 model 3. calculate floating poi	STRING
HIGH	Examples/torch/compression/weight_svd.py	0	1. instantiate data pipeline for evaluation and training 2. load the pretrained resnet18 model 3. calculate floating poi	STRING
HIGH	Examples/torch/compression/spatial_svd_cp.py	0	1. instantiate data pipeline for evaluation and training 2. load the pretrained resnet18 model 3. calculate floating poi	STRING
HIGH	Examples/torch/compression/spatial_svd.py	0	1. instantiate data pipeline for evaluation and training 2. load the pretrained resnet18 model 3. calculate floating poi	STRING
HIGH	AIMETRegression/features/onnx/quantsim_runner.py	0	extract numeric bitwidth from various formats (int8, "int8", 8, "8").	STRING
313 more matches not shown…

Decorative Section Separators470 hits · 1474 pts

Severity	File	Line	Snippet	Context
MEDIUM	CMakeLists.txt	122	# -------------------------------	COMMENT
MEDIUM	CMakeLists.txt	124	# -------------------------------	COMMENT
MEDIUM	CMakeLists.txt	176	# -------------------------------	COMMENT
MEDIUM	CMakeLists.txt	178	# -------------------------------	COMMENT
MEDIUM	CMakeLists.txt	209	# -------------------------------	COMMENT
MEDIUM	CMakeLists.txt	211	# -------------------------------	COMMENT
MEDIUM	CMakeLists.txt	247	# -------------------------------	COMMENT
MEDIUM	CMakeLists.txt	249	# -------------------------------	COMMENT
MEDIUM	packaging/INSTALL.txt	1	# ==================================================================================	COMMENT
MEDIUM	packaging/INSTALL.txt	3	# ==================================================================================	COMMENT
MEDIUM	packaging/envsetup.sh	7	#====================================	COMMENT
MEDIUM	packaging/envsetup.sh	9	#===================================	COMMENT
MEDIUM	GenAILab/__main__.py	173	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/__main__.py	175	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/__main__.py	283	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/__main__.py	285	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/__main__.py	392	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/__main__.py	394	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/metrics.py	317	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/metrics.py	319	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	GenAILab/bench/metrics.py	388	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	GenAILab/bench/metrics.py	390	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/metrics.py	456	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/metrics.py	458	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/metrics.py	584	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/metrics.py	586	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/yaml_config_parser.py	37	# ========================	COMMENT
MEDIUM	GenAILab/bench/yaml_config_parser.py	39	# ========================	COMMENT
MEDIUM	GenAILab/bench/yaml_config_parser.py	76	# ========================	COMMENT
MEDIUM	GenAILab/bench/yaml_config_parser.py	78	# ========================	COMMENT
MEDIUM	GenAILab/bench/yaml_config_parser.py	120	# ========================	COMMENT
MEDIUM	GenAILab/bench/yaml_config_parser.py	122	# ========================	COMMENT
MEDIUM	GenAILab/bench/yaml_config_parser.py	152	# ========================	COMMENT
MEDIUM	GenAILab/bench/yaml_config_parser.py	154	# ========================	COMMENT
MEDIUM	GenAILab/bench/yaml_config_parser.py	171	# ========================	COMMENT
MEDIUM	GenAILab/bench/yaml_config_parser.py	173	# ========================	COMMENT
MEDIUM⚡	GenAILab/bench/yaml_config_parser.py	200	# ========================	COMMENT
MEDIUM⚡	GenAILab/bench/yaml_config_parser.py	202	# ========================	COMMENT
MEDIUM	GenAILab/bench/yaml_config_parser.py	321	# ========================	COMMENT
MEDIUM	GenAILab/bench/yaml_config_parser.py	323	# ========================	COMMENT
MEDIUM	GenAILab/bench/eval_context.py	34	# ------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/eval_context.py	36	# ------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/eval_context.py	56	# ------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/eval_context.py	58	# ------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/fp_cache.py	35	# ------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/fp_cache.py	37	# ------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/fp_cache.py	104	# ------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/fp_cache.py	106	# ------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/model_cache.py	62	# ------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/model_cache.py	64	# ------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/model_cache.py	251	# ------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/bench/model_cache.py	253	# ------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/tests/conftest.py	13	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/tests/conftest.py	15	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/tests/conftest.py	38	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/tests/conftest.py	40	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/tests/conftest.py	81	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/tests/conftest.py	83	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/tests/conftest.py	98	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	GenAILab/tests/conftest.py	100	# ---------------------------------------------------------------------------	COMMENT
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Unused Imports519 hits · 502 pts

Severity	File	Line	Context
LOW	packaging/plugins/local/aimet.py	4	CODE
LOW	GenAILab/bench/onnx/quant_recipes.py	23	CODE
LOW	GenAILab/bench/onnx/test_genai.py	33	CODE
LOW	GenAILab/bench/onnx/test_genai.py	34	CODE
LOW	GenAILab/bench/onnx/test_genai.py	35	CODE
LOW	GenAILab/bench/torch/test_genai.py	34	CODE
LOW	GenAILab/bench/torch/test_genai.py	35	CODE
LOW	GenAILab/tests/unit/onnx/test_quantsim_utils.py	6	CODE
LOW	GenAILab/tests/unit/onnx/test_quantsim_utils.py	8	CODE
LOW	GenAILab/tests/unit/onnx/test_generator_utils.py	8	CODE
LOW	GenAILab/tests/unit/onnx/test_quantsim_instantiation.py	10	CODE
LOW	GenAILab/tests/unit/onnx/test_quantsim_instantiation.py	12	CODE
LOW	GenAILab/tests/unit/torch/test_quantsim_utils.py	6	CODE
LOW	GenAILab/tests/unit/torch/test_quantsim_utils.py	8	CODE
LOW	GenAILab/tests/unit/torch/test_generator_utils.py	8	CODE
LOW	…nAILab/tests/unit/torch/test_quantsim_instantiation.py	12	CODE
LOW	…nAILab/tests/unit/torch/test_quantsim_instantiation.py	15	CODE
LOW	…Lab/tests/unit/models/test_hub_compatible_generator.py	7	CODE
LOW	…Lab/tests/unit/models/test_hub_compatible_generator.py	8	CODE
LOW	GenAILab/tests/unit/models/test_generator.py	6	CODE
LOW	GenAILab/tests/unit/models/test_vlm_generator.py	11	CODE
LOW	GenAILab/tests/unit/models/test_layer_cache.py	8	CODE
LOW	GenAILab/tests/unit/models/test_adaptations.py	6	CODE
LOW	GenAILab/tests/unit/models/test_base.py	8	CODE
LOW	GenAILab/tests/unit/infrastructure/test_main.py	6	CODE
LOW	GenAILab/tests/unit/infrastructure/test_main.py	9	CODE
LOW	GenAILab/tests/unit/helpers/test_model_cache.py	6	CODE
LOW	GenAILab/tests/unit/helpers/test_yaml_config_parser.py	6	CODE
LOW	GenAILab/tests/unit/helpers/test_yaml_config_parser.py	7	CODE
LOW	GenAILab/tests/unit/helpers/test_yaml_config_parser.py	11	CODE
LOW	GenAILab/tests/unit/helpers/test_precision_config.py	8	CODE
LOW	GenAILab/qai_hub_lm/precision.py	6	CODE
LOW	GenAILab/qai_hub_lm/precision.py	11	CODE
LOW	GenAILab/qai_hub_lm/precision.py	22	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/internvl.py	6	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/internvl.py	26	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/qwen2_vl.py	6	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/qwen3_vl.py	6	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/gemma4.py	6	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/gemma4.py	10	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/gemma4.py	28	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/__init__.py	9	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/__init__.py	12	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/__init__.py	15	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/__init__.py	18	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/__init__.py	21	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/__init__.py	28	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/__init__.py	33	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/__init__.py	38	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/__init__.py	44	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/llm.py	6	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/gemma3.py	6	CODE
LOW	…AILab/qai_hub_lm/backends/onnx/adaptations/__init__.py	4	CODE
LOW	…Lab/qai_hub_lm/backends/onnx/adaptations/hub_models.py	40	CODE
LOW	GenAILab/qai_hub_lm/backends/torch/internvl.py	6	CODE
LOW	GenAILab/qai_hub_lm/backends/torch/internvl.py	8	CODE
LOW	GenAILab/qai_hub_lm/backends/torch/qwen2_vl.py	6	CODE
LOW	GenAILab/qai_hub_lm/backends/torch/qwen2_vl.py	8	CODE
LOW	GenAILab/qai_hub_lm/backends/torch/qwen3_vl.py	6	CODE
LOW	GenAILab/qai_hub_lm/backends/torch/qwen3_vl.py	8	CODE
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Self-Referential Comments109 hits · 342 pts

Severity	File	Line	Snippet	Context
MEDIUM	GenAILab/bench/torch/example_custom_script.py	90	# Create a generator object to accurately simulate inference with static graph constraints while maintaining the	COMMENT
MEDIUM	…nAILab/tests/unit/torch/test_quantsim_instantiation.py	27	# Create a module hierarchy that mimics a real model	COMMENT
MEDIUM	GenAILab/qai_hub_lm/backends/onnx/export_utils.py	188	# Create the checkpoint directory if it does not exist.	COMMENT
MEDIUM	Docs/snippets/onnx/apply_seqmse.py	74	# Create the QuantizationSimModel	COMMENT
MEDIUM	Docs/snippets/torch/apply_qwlora.py	135	# Create a QuantizationSimModel	COMMENT
MEDIUM	Examples/onnx/quantize.py	208	# Create a generator object to accurately simulate inference with static graph constraints while maintaining the	COMMENT
MEDIUM	Examples/torch/quantize.py	215	# Create a generator object to accurately simulate inference with static graph constraints while maintaining the	COMMENT
MEDIUM	Examples/torch/evaluate.py	210	# Create a generator object to accurately simulate inference with static graph constraints while maintaining the	COMMENT
MEDIUM	…ples/torch/quantization/qat_range_learning_ddp_eval.py	179	# Create an instance of DDP in order to perform distributed eval	COMMENT
MEDIUM	…tization/qat_range_learning_ddp_training_lightining.py	217	# Define the trainer here.	COMMENT
MEDIUM	Examples/torch/v2/quickstart_guide.py	108	# Create a model	COMMENT
MEDIUM	.github/actions/start-gpu-runner/action.yml	118	# Create the Kubernetes secret that the pod is polling for	COMMENT
MEDIUM	AIMETRegression/configs/_defaults.yaml	3	# This file defines default settings inherited by all tests.	COMMENT
MEDIUM	TrainingExtensions/onnx/test/python/test_quantsim.py	1485	# Create a new quantsim model	COMMENT
MEDIUM	TrainingExtensions/onnx/test/python/test_quantsim.py	1924	# Create a model with very high total activation memory usage	COMMENT
MEDIUM	TrainingExtensions/onnx/test/python/test_quantsim.py	3588	# Create an identical QuantizationSimModel	COMMENT
MEDIUM	…ingExtensions/onnx/test/python/test_mixed_precision.py	498	# Create an accuracy list	COMMENT
MEDIUM	…ingExtensions/onnx/test/python/test_mixed_precision.py	592	# Create an accuracy list	COMMENT
MEDIUM	…ningExtensions/onnx/test/python/test_qc_quantize_op.py	1948	# Create a new per-tensor quantizer	COMMENT
MEDIUM⚡	…iningExtensions/onnx/test/python/test_libquant_info.py	98	# Create a BlockTensorQuantizer	COMMENT
MEDIUM	TrainingExtensions/onnx/test/python/test_adascale.py	856	# Create a copy of the weights before applying AdaScale	COMMENT
MEDIUM	…Extensions/onnx/test/python/models/test_models_onnx.py	50	# Create the initializer tensor for the weights.	COMMENT
MEDIUM	…Extensions/onnx/test/python/models/test_models_onnx.py	99	# Create the initializer tensor for the weights.	COMMENT
MEDIUM	…Extensions/onnx/test/python/models/test_models_onnx.py	158	# Create the model (ModelProto)	COMMENT
MEDIUM	…Extensions/onnx/test/python/models/test_models_onnx.py	195	# Create the initializer tensor for the weights.	COMMENT
MEDIUM	…Extensions/onnx/test/python/models/test_models_onnx.py	244	# Create the initializer tensor for the weights.	COMMENT
MEDIUM	…Extensions/onnx/test/python/models/test_models_onnx.py	307	# Create the model (ModelProto)	COMMENT
MEDIUM⚡	…Extensions/onnx/test/python/models/models_for_tests.py	2952	# Define the fixed shape input tensor	COMMENT
MEDIUM⚡	…Extensions/onnx/test/python/models/models_for_tests.py	2960	# Define the constant 1D vector to be added to the input	COMMENT
MEDIUM⚡	…Extensions/onnx/test/python/models/models_for_tests.py	2966	# Define the weights for both matmuls	COMMENT
MEDIUM⚡	…Extensions/onnx/test/python/models/models_for_tests.py	2974	# Define the Add node	COMMENT
MEDIUM⚡	…Extensions/onnx/test/python/models/models_for_tests.py	2982	# Define the MatMul nodes	COMMENT
MEDIUM⚡	…Extensions/onnx/test/python/models/models_for_tests.py	2997	# Define the output tensors	COMMENT
MEDIUM⚡	…Extensions/onnx/test/python/models/models_for_tests.py	3005	# Create the graph	COMMENT
MEDIUM⚡	…Extensions/onnx/test/python/models/models_for_tests.py	3014	# Create the model	COMMENT
MEDIUM	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	1359	# Create a new initializer with unique name (use full module_path	COMMENT
MEDIUM	…aimet_onnx/experimental/adascale/adascale_optimizer.py	388	] # Create a new tensor	CODE
MEDIUM	…aimet_onnx/experimental/adascale/adascale_optimizer.py	451	] # Create a new tensor	CODE
MEDIUM	…onnx/src/python/aimet_onnx/sequential_mse/transform.py	138	# Create a new input tensor with symbolic dimensions and same name	COMMENT
MEDIUM	TrainingExtensions/torch/test/python/test_utils.py	539	# Create a model with a layer with multi-outputs	COMMENT
MEDIUM	…Extensions/torch/test/python/test_comp_ratio_select.py	197	# Create a layer database	COMMENT
MEDIUM	TrainingExtensions/torch/test/python/test_weight_svd.py	219	# Create a layer database	COMMENT
MEDIUM	…ainingExtensions/torch/test/python/test_spatial_svd.py	152	# Create a layer database	COMMENT
MEDIUM	…ainingExtensions/torch/test/python/test_spatial_svd.py	198	# Create a layer database	COMMENT
MEDIUM	…ngExtensions/torch/test/python/test_channel_pruning.py	784	# Create a layer database	COMMENT
MEDIUM	…ngExtensions/torch/test/python/test_channel_pruning.py	831	# Create a layer database	COMMENT
MEDIUM	…ngExtensions/torch/test/python/test_channel_pruning.py	895	# Create a layer database	COMMENT
MEDIUM	…ngExtensions/torch/test/python/test_channel_pruning.py	952	# Create a layer database	COMMENT
MEDIUM	…ngExtensions/torch/test/python/test_cost_calculator.py	323	# Create a list of tuples of (layer, comp_ratio)	COMMENT
MEDIUM	…ngExtensions/torch/test/python/test_cost_calculator.py	348	# Create a list of tuples of (layer, comp_ratio)	COMMENT
MEDIUM	…ngExtensions/torch/test/python/test_cost_calculator.py	364	# Create a list of tuples of (layer, comp_ratio)	COMMENT
MEDIUM	…ngExtensions/torch/test/python/test_cost_calculator.py	435	# Create a list of tuples of (layer, comp_ratio)	COMMENT
MEDIUM⚡	…ngExtensions/torch/test/python/test_cost_calculator.py	464	# Create a list of tuples of (layer, comp_ratio)	COMMENT
MEDIUM⚡	…ngExtensions/torch/test/python/test_cost_calculator.py	474	# Create the Input channel pruner	COMMENT
MEDIUM⚡	…ions/torch/test/python/experimental/test_transforms.py	50	# Create a diagonal matrix with positive singular values	COMMENT
MEDIUM	…ions/torch/test/python/experimental/test_transforms.py	172	# Create a matrix transform op	COMMENT
MEDIUM	…ions/torch/test/python/experimental/test_transforms.py	272	# Create a matrix transform op	COMMENT
MEDIUM⚡	…xtensions/torch/test/python/v2/test_mixed_precision.py	414	# Create an accuracy list	COMMENT
MEDIUM⚡	…xtensions/torch/test/python/v2/test_mixed_precision.py	454	# Create an accuracy list	COMMENT
MEDIUM	…xtensions/torch/test/python/v2/test_mixed_precision.py	1423	# Create an accuracy list	COMMENT
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Deep Nesting379 hits · 324 pts

Severity	File	Line	Context
LOW	packaging/plugins/local/aimet.py	87	CODE
LOW	GenAILab/__main__.py	339	CODE
LOW	GenAILab/bench/yaml_config_parser.py	220	CODE
LOW	GenAILab/bench/yaml_config_parser.py	340	CODE
LOW	GenAILab/bench/yaml_config_parser.py	521	CODE
LOW	GenAILab/bench/recipe_cache.py	70	CODE
LOW	GenAILab/bench/recipe_cache.py	384	CODE
LOW	GenAILab/bench/recipe_cache.py	413	CODE
LOW	GenAILab/bench/recipe_chain.py	28	CODE
LOW	GenAILab/bench/onnx/quant_recipes.py	26	CODE
LOW	GenAILab/bench/onnx/test_genai.py	56	CODE
LOW	GenAILab/bench/torch/test_genai.py	41	CODE
LOW	GenAILab/qai_hub_lm/precision.py	177	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/export_utils.py	159	CODE
LOW	GenAILab/qai_hub_lm/backends/onnx/quantsim_utils.py	204	CODE
LOW	…AILab/qai_hub_lm/backends/onnx/torch_onnx_interface.py	63	CODE
LOW	GenAILab/qai_hub_lm/backends/torch/generator_utils.py	58	CODE
LOW	GenAILab/qai_hub_lm/backends/torch/generator_utils.py	42	CODE
LOW	GenAILab/qai_hub_lm/models/qwen3_vl.py	373	CODE
LOW	GenAILab/qai_hub_lm/models/generator.py	424	CODE
LOW	GenAILab/qai_hub_lm/models/generator.py	1041	CODE
LOW	scripts/all/build_and_test.py	1240	CODE
LOW	scripts/all/build_and_test.py	247	CODE
LOW	scripts/all/build_and_test.py	356	CODE
LOW	AIMETRegression/suite_runner.py	103	CODE
LOW	AIMETRegression/baseline_comparison.py	996	CODE
LOW	AIMETRegression/baseline_comparison.py	376	CODE
LOW	AIMETRegression/runner.py	125	CODE
LOW	AIMETRegression/runner.py	332	CODE
LOW	AIMETRegression/runner.py	734	CODE
LOW	AIMETRegression/features/onnx/_common.py	287	CODE
LOW	AIMETRegression/features/onnx/mixed_precision_runner.py	62	CODE
LOW	…METRegression/features/torch/mixed_precision_runner.py	99	CODE
LOW	AIMETRegression/features/torch/utils.py	91	CODE
LOW	AIMETRegression/features/torch/utils.py	158	CODE
LOW	AIMETRegression/workflow/summary.py	83	CODE
LOW	AIMETRegression/workflow/utils.py	87	CODE
LOW	AIMETRegression/workflow/utils.py	166	CODE
LOW	AIMETRegression/evaluation/eval_qnn.py	171	CODE
LOW	AIMETRegression/evaluation/eval_qnn.py	246	CODE
LOW	AIMETRegression/evaluation/eval_torch.py	64	CODE
LOW	AIMETRegression/evaluation/metrics_utils.py	216	CODE
LOW	AIMETRegression/evaluation/metrics_utils.py	319	CODE
LOW	AIMETRegression/evaluation/metrics_utils.py	217	CODE
LOW	AIMETRegression/evaluation/metrics_utils.py	348	CODE
LOW	NightlyTests/onnx/test_mixed_precision.py	157	CODE
LOW	NightlyTests/torch/dependencies.py	116	CODE
LOW	NightlyTests/torch/models/mobilenet.py	206	CODE
LOW	NightlyTests/torch/models/mobilenet.py	279	CODE
LOW	…sts/torch/models/supervised_classification_pipeline.py	48	CODE
LOW	NightlyTests/torch/models/mnist_torch_model.py	168	CODE
LOW	NightlyTests/torch/models/mnist_torch_model.py	216	CODE
LOW	TrainingExtensions/onnx/test/python/test_enpu_config.py	299	CODE
LOW	TrainingExtensions/onnx/test/python/test_quantsim.py	7553	CODE
LOW	TrainingExtensions/onnx/test/python/test_quantsim.py	7769	CODE
LOW	TrainingExtensions/onnx/test/python/test_quantsim.py	1143	CODE
LOW	TrainingExtensions/onnx/test/python/test_quantsim.py	1239	CODE
LOW	TrainingExtensions/onnx/test/python/test_spinquant.py	189	CODE
LOW	TrainingExtensions/onnx/test/python/test_spinquant.py	2040	CODE
LOW	TrainingExtensions/onnx/test/python/test_spinquant.py	2095	CODE
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Over-Commented Block133 hits · 128 pts

Severity	File	Line	Snippet	Context
LOW	packaging/INSTALL.txt	1	# ==================================================================================	COMMENT
LOW	packaging/NOTICE.txt	61		COMMENT
LOW	packaging/NOTICE.txt	81	// distribution.	COMMENT
LOW	packaging/NOTICE.txt	101	#	COMMENT
LOW	packaging/NOTICE.txt	121	# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT	COMMENT
LOW	packaging/NOTICE.txt	141	// in the documentation and/or other materials provided with the	COMMENT
LOW	packaging/NOTICE.txt	161	// Copyright 2008, Google Inc.	COMMENT
LOW	packaging/NOTICE.txt	181	// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT	COMMENT
LOW	packaging/NOTICE.txt	201	// * Redistributions in binary form must reproduce the above	COMMENT
LOW	packaging/NOTICE.txt	221	=================================================================================	COMMENT
LOW	packaging/NOTICE.txt	281	//	COMMENT
LOW	packaging/NOTICE.txt	301	// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT	COMMENT
LOW	packaging/convert_wheel_format.sh	1	#!/bin/bash	COMMENT
LOW	…ions/DlQuantization/test/TestQuantizationFunctions.cpp	1	// Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	…izations/DlQuantization/test/test_quantization_lib.hpp	1	// Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	…ions/DlQuantization/src/PercentileEncodingAnalyzer.cpp	1	// Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	…delOptimizations/DlQuantization/src/math_functions.cpp	1	// Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	…delOptimizations/DlQuantization/src/trim_functions.hpp	1	// Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	…delOptimizations/DlQuantization/src/trim_functions.cpp	1	// Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	…izations/DlQuantization/src/MinMaxEncodingAnalyzer.cpp	1	// Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	…ptimizations/DlQuantization/src/quantization_utils.cpp	1	// Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	GenAILab/bench/onnx/__init__.py	1	# Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	GenAILab/bench/utils/__init__.py	1	# Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	GenAILab/bench/prompts/multimodal_prompts.yaml	1	# Prompts for evaluating quantized VLM generation quality.	COMMENT
LOW	GenAILab/tests/__init__.py	1	# Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	GenAILab/tests/integration/__init__.py	1	# Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	GenAILab/qai_hub_lm/__init__.py	1	# Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	GenAILab/qai_hub_lm/models/__init__.py	1	# Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	GenAILab/qai_hub_lm/models/qwen3_5.py	1	# Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	GenAILab/qai_hub_lm/models/utils/compat.py	1	# Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	GenAILab/qai_hub_lm/models/utils/__init__.py	1	# Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	Docs/conf.py	1	# Copyright (c) Qualcomm Technologies, Inc. and/or its subsidiaries.	COMMENT
LOW	Docs/conf.py	81	# The language for content autogenerated by Sphinx. Refer to documentation	COMMENT
LOW	Docs/conf.py	101	# The theme to use for HTML and HTML Help pages. See the documentation for	COMMENT
LOW	Docs/conf.py	181	# -- Options for LaTeX output ------------------------------------------------	COMMENT
LOW	Docs/snippets/onnx/apply_quantsim.py	121	# Export the model	COMMENT
LOW	…mples/torch/quantization/zero_bit_quantization_demo.py	1	# -- coding: utf-8 --	COMMENT
LOW	Examples/torch/quantization/adaround.py	41	# Scenario parameters:	COMMENT
LOW	Examples/torch/v2/quickstart_guide.py	141	# 1) Model preparation	COMMENT
LOW	Examples/torch/v2/quickstart_guide.py	161	# Note how the prepared model now contains distinct modules for the :func:`relu` and :func:`softmax` operations.	COMMENT
LOW	Examples/torch/v2/quickstart_guide.py	181	#	COMMENT
LOW	Examples/torch/v2/quickstart_guide.py	221		COMMENT
LOW	Examples/torch/v2/quickstart_guide.py	281	# This export method will save the model with quantization nodes removed, along with an encodings file containing	COMMENT
LOW	Examples/torch/compression/spatial_svd_cp.py	41	# how AIMET APIs can be invoked.	COMMENT
LOW	scripts/all/download_genai_checkpoint.sh	1	#!/bin/bash	COMMENT
LOW	scripts/all/resolve_genai_config.sh	1	#!/bin/bash	COMMENT
LOW	scripts/environment/setup_genai.sh	1	#!/bin/bash	COMMENT
LOW	scripts/environment/build_aimet.sh	1	#!/bin/bash	COMMENT
LOW	scripts/environment/build_aimet.sh	21	#	COMMENT
LOW	scripts/kube/stop_pod.sh	1	#!/bin/bash	COMMENT
LOW	scripts/kube/launch_pod.sh	1	#!/bin/bash	COMMENT
LOW	.github/workflows/genai-scorecard.yaml	1	################################################################################	COMMENT
LOW	.github/actions/genai-test/action.yml	1	################################################################################	COMMENT
LOW	.github/actions/stop-gpu-runner/action.yml	1	################################################################################	COMMENT
LOW	.github/actions/start-gpu-runner/action.yml	1	################################################################################	COMMENT
LOW	AIMETRegression/configs/_defaults.yaml	1	# Base Configuration for AIMET ONNX Regression	COMMENT
LOW	AIMETRegression/configs/_defaults.yaml	21		COMMENT
LOW	AIMETRegression/configs/models/resnet50.yaml	1	# ResNet50 Model Configuration	COMMENT
LOW	AIMETRegression/configs/_profiles/nightly.yaml	1	# Nightly Profile - Daily Regression Testing	COMMENT
LOW	AIMETRegression/configs/_profiles/weekly.yaml	1	# Weekly Profile - Comprehensive Regression Testing	COMMENT
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Redundant / Tautological Comments81 hits · 125 pts

Severity	File	Line	Snippet	Context
LOW	packaging/plugins/local/aimet.py	61	# Check if ARM64 is specified in CMAKE_ARGS or if running natively on ARM64	COMMENT
LOW	GenAILab/bench/profiler.py	344	# Check if the file exists	COMMENT
LOW	GenAILab/bench/profiler.py	346	# Open the file and load the existing data	COMMENT
LOW	Docs/legacy/torch_code_examples/mixed_precision.py	87	# Set clean_start to False to start from an existing cache	COMMENT
LOW	Docs/legacy/torch_code_examples/mixed_precision.py	88	# Set allowed_accuracy_drop to 0.9 to export the 90% drop point in pareto list	COMMENT
LOW	scripts/posix/install_macos_deps.sh	18	# Check if Homebrew is installed	COMMENT
LOW⚡	scripts/all/build_and_test.py	357	# Check if we can skip the build	COMMENT
LOW	scripts/all/build_and_test.py	617	# Check if we can skip wheel installation	COMMENT
LOW	scripts/kube/dev.sh	85	# Check if it's a pod name or a workflow name	COMMENT
LOW	scripts/kube/launch_pod.sh	109	# Check if workflow has failed	COMMENT
LOW	.github/workflows/dco.yml	34	# Check if author is indeed signing off commit	COMMENT
LOW	AIMETRegression/features/onnx/lite_mp_runner.py	102	# Check if already a valid symbol	COMMENT
LOW	…METRegression/features/torch/mixed_precision_runner.py	198	# Check if user requested unsupported candidates	COMMENT
LOW	AIMETRegression/features/torch/utils.py	110	# Check if already patched by another mechanism	COMMENT
LOW	AIMETRegression/models/ai_hub_loader.py	77	# Check if it's a class and subclass of BaseModel	COMMENT
LOW	NightlyTests/torch/dependencies.py	31	# Check if we need to generate the .pth for CPU or GPU. If not, return	COMMENT
LOW⚡	TrainingExtensions/onnx/test/python/test_quantsim.py	235	# Check if qc quantize op node is correctly connect to the corresponding onnx node	COMMENT
LOW⚡	TrainingExtensions/onnx/test/python/test_quantsim.py	242	# Check if op_mode is set correctly for each qc quantize op node	COMMENT
LOW	…ingExtensions/onnx/test/python/test_mixed_precision.py	253	# Check if quantizer group is set to maximum bitwidth	COMMENT
LOW	…ingExtensions/onnx/test/python/test_mixed_precision.py	320	# Check if accuracy list is in descending order	COMMENT
LOW	…ningExtensions/onnx/test/python/test_quant_analyzer.py	194	# Check if it is exported to correct html file.	COMMENT
LOW	…ningExtensions/onnx/test/python/test_quant_analyzer.py	231	# Check if it is exported to correct html file.	COMMENT
LOW	…ningExtensions/onnx/test/python/test_quant_analyzer.py	438	# Check if it is exported to correct html file.	COMMENT
LOW⚡	…ons/onnx/test/python/test_graph_passes/test_rmsnorm.py	43	# Check if quantization is disabled for RMSNormalization intermediate op outputs	COMMENT
LOW⚡	…ons/onnx/test/python/test_graph_passes/test_rmsnorm.py	45	# Check if quantization is enabled for last op of RMSNormalization sub-graph	COMMENT
LOW⚡	…ons/onnx/test/python/test_graph_passes/test_rmsnorm.py	48	# Check if quantization is disabled for RMSNormalization sub-graph constant ops except weight	COMMENT
LOW⚡	…s/onnx/test/python/test_graph_passes/test_layernorm.py	35	# Check if quantization is disabled for LayerNormalization intermediate op outputs	COMMENT
LOW⚡	…s/onnx/test/python/test_graph_passes/test_layernorm.py	37	# Check if quantization is enabled for last op of LayerNormalization sub-graph	COMMENT
LOW⚡	…s/onnx/test/python/test_graph_passes/test_layernorm.py	40	# Check if quantization is disabled for LayerNormalization sub-graph constant ops except layernorm.weight	COMMENT
LOW⚡	…s/onnx/test/python/test_graph_passes/test_layernorm.py	68	# Check if quantization is disabled for LayerNormalization intermediate op outputs	COMMENT
LOW⚡	…s/onnx/test/python/test_graph_passes/test_layernorm.py	70	# Check if quantization is enabled for last op of LayerNormalization sub-graph	COMMENT
LOW⚡	…s/onnx/test/python/test_graph_passes/test_layernorm.py	72	# Check if quantization is disabled for LayerNormalization sub-graph constant ops except layernorm.weight	COMMENT
LOW	…iningExtensions/onnx/src/python/aimet_onnx/quantsim.py	792	# Check if the tensor is param to certain ops (eg: Resize)	STRING
LOW	…iningExtensions/onnx/src/python/aimet_onnx/quantsim.py	812	# Check if the tensor is output of certain ops	STRING
LOW	…iningExtensions/onnx/src/python/aimet_onnx/quantsim.py	1080	# Check if weights are constant	STRING
LOW	…iningExtensions/onnx/src/python/aimet_onnx/quantsim.py	3527	# Check if encoding corresponds to non-quantizable tensor type	STRING
LOW	TrainingExtensions/onnx/src/python/aimet_onnx/utils.py	173	# Check if other node takes input from removed node	COMMENT
LOW	TrainingExtensions/onnx/src/python/aimet_onnx/utils.py	430	# Check if the weight is transposed before entering the node	COMMENT
LOW	…tensions/onnx/src/python/aimet_onnx/batch_norm_fold.py	219	# Check if this is actually a fully connected layer or a dynamic matmul	COMMENT
LOW	…x/src/python/aimet_onnx/adaround/adaround_optimizer.py	96	# Check if we can cache intermediate activation data.	COMMENT
LOW	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	430	# Check if input comes from an Identity whose input is an initializer	COMMENT
LOW	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	470	# Check if this Mul's inputs include a scale (Constant or init)	COMMENT
LOW	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	1502	# Check if scale is already a named initializer	COMMENT
LOW	…rc/python/aimet_onnx/experimental/lora/peft_to_onnx.py	805	# Check if this input comes from a Constant node	COMMENT
LOW	…/python/aimet_onnx/experimental/lora/lora_configure.py	631	# Check if this input comes from a Constant node	COMMENT
LOW	…x/src/python/aimet_onnx/graph_passes/passes/rmsnorm.py	68	# Check if weights are present, skipping any Cast ops (e.g. from	COMMENT
LOW	…src/python/aimet_onnx/graph_passes/passes/layernorm.py	93	# Check if affine_transform is set.	COMMENT
LOW	…nnx/graph_passes/cleanup/remove_duplicate_qdq_pairs.py	121	# Check if Q1/DQ1 params match Q2/DQ2 params	COMMENT
LOW	…onnx/src/python/aimet_onnx/sequential_mse/transform.py	476	# Check if this is a Transpose op	COMMENT
LOW	…onnx/src/python/aimet_onnx/sequential_mse/transform.py	492	# Check if input is a leaf initializer (unquantized case)	COMMENT
LOW	…xtensions/torch/test/python/test_layer_output_utils.py	168	# Check if every layer-name has corresponding onnx layer-output-name	COMMENT
LOW⚡	…tensions/torch/test/python/v1/test_quantizer_groups.py	39	# Check if there is one parent and one child	COMMENT
LOW	…/torch/test/python/experimental/test_let_quantizers.py	244	# Set scale to 2	COMMENT
LOW	…sions/torch/test/python/experimental/test_omniquant.py	342	# Set model to lora model	COMMENT
LOW⚡	…xtensions/torch/test/python/v2/test_mixed_precision.py	397	# Check if accuracy list is in descending order	COMMENT
LOW⚡	…xtensions/torch/test/python/v2/test_mixed_precision.py	435	# Check if parsed list is sorted	COMMENT
LOW	…xtensions/torch/test/python/v2/test_mixed_precision.py	287	# Check if quantizer group is set to maximum bitwidth	COMMENT
LOW	…xtensions/torch/test/python/v2/test_mixed_precision.py	327	# Check if accuracy list is in descending order	COMMENT
LOW	…xtensions/torch/test/python/v2/test_mixed_precision.py	357	# Check if quantizer group is set to maximum bitwidth	COMMENT
LOW	…xtensions/torch/test/python/v2/test_mixed_precision.py	476	# Check if parsed list is sorted	COMMENT
21 more matches not shown…

Hallucination Indicators8 hits · 105 pts

Severity	File	Line	Snippet	Context
CRITICAL	…iningExtensions/onnx/src/python/aimet_onnx/quantsim.py	1461	self.model.model.graph.node.extend(sim_nodes)	STRING
CRITICAL⚡	…ensions/torch/test/python/v2/ab_test/test_quantizer.py	1036	grad_single_gpu = sim.model.conv1.weight.grad.clone().detach()	CODE
CRITICAL⚡	…ensions/torch/test/python/v2/ab_test/test_quantizer.py	1041	weight_multi_gpu = sim.model.module.conv1.weight.clone().detach()	CODE
CRITICAL⚡	…ensions/torch/test/python/v2/ab_test/test_quantizer.py	1045	grad_multi_gpu = sim.model.module.conv1.weight.grad.clone().detach()	CODE
CRITICAL⚡	…ensions/torch/test/python/v2/ab_test/test_quantizer.py	2994	grad_single_gpu = sim.model.conv1.weight.grad.clone().detach()	CODE
CRITICAL⚡	…ensions/torch/test/python/v2/ab_test/test_quantizer.py	2999	weight_multi_gpu = sim.model.module.conv1.weight.clone().detach()	CODE
CRITICAL⚡	…ensions/torch/test/python/v2/ab_test/test_quantizer.py	3003	grad_multi_gpu = sim.model.module.conv1.weight.grad.clone().detach()	CODE
CRITICAL	…et_torch/experimental/spinquant/spinquant_optimizer.py	644	visual_encoder.patch_embed.proj.weight.data.clone()	CODE

Docstring Block Structure18 hits · 90 pts

Severity	File	Line	Snippet	Context
HIGH	AIMETRegression/suite_runner.py	54	Load and validate a suite configuration file. Suite files define: - profile: Which runtime profile to use	STRING
HIGH	AIMETRegression/config_loader.py	42	Load and merge configuration from multiple sources. This is the main entry point for config loading. It merges	STRING
HIGH	AIMETRegression/config_loader.py	171	List all test names defined in a model configuration. This is useful for: - Discovering what tests exist i	STRING
HIGH	AIMETRegression/features/onnx/quantsim_runner.py	65	Apply AIMET QuantSim to simulate INT8 quantization on an FP32 ONNX model. QuantSim creates a simulation model	STRING
HIGH	AIMETRegression/features/onnx/_common.py	58	Select available ORT execution providers from a preference list. This function ensures explicit provider selec	STRING
HIGH	AIMETRegression/features/onnx/_common.py	136	Convert various bitwidth representations to integer. This function provides flexibility in configuration files	STRING
HIGH	AIMETRegression/features/onnx/_common.py	191	Construct an AIMET QuantizationSimModel from an ONNX file. CRITICAL DESIGN DECISION: This function loads t	STRING
HIGH	AIMETRegression/features/onnx/adaround_runner.py	149	Apply AdaRound optimization for improved weight quantization. AdaRound optimizes the rounding of weights durin	STRING
HIGH	AIMETRegression/features/onnx/mixed_precision_runner.py	147	Apply automatic mixed-precision optimization using AIMET's search algorithm. This technique uses AIMET's choos	STRING
HIGH	AIMETRegression/features/onnx/lite_mp_runner.py	83	Convert configuration value to AIMET's required precision symbol. AIMET's flip_layers_to_higher_precision API	STRING
HIGH	AIMETRegression/features/onnx/lite_mp_runner.py	141	Apply Lite Mixed-Precision quantization to an FP32 ONNX model. This technique provides an optimal accuracy-per	STRING
HIGH	AIMETRegression/features/torch/_common.py	71	Map configuration string to AIMET QuantScheme enum. Args: scheme_str: Scheme name from config (e.g., "	STRING
HIGH	AIMETRegression/features/torch/adaround_runner.py	66	Apply AdaRound optimization for improved weight quantization on PyTorch models. AdaRound optimizes the roundin	STRING
HIGH	AIMETRegression/models/ai_hub_loader.py	39	Find and return the appropriate model class from a module. QAI Hub Models modules may contain the model class	STRING
HIGH	AIMETRegression/models/ai_hub_loader.py	96	Resolve the dataset class a model should be quantized and evaluated on. QAI Hub Models expose their datasets a	STRING
HIGH	AIMETRegression/models/ai_hub_loader.py	141	Load a model from QAI Hub Models with its associated dataset and specifications. This is the main entry point	STRING
HIGH	AIMETRegression/evaluation/metrics_utils.py	71	Format duration with automatic unit selection for readability. This function chooses the most appropriate form	STRING
HIGH	…iningExtensions/onnx/src/python/aimet_onnx/quantsim.py	2986	Returns graph path from a tensor to the "effective" quantizer associated with it (if any). Node Q is t	STRING

Cross-Language Confusion18 hits · 82 pts

Severity	File	Line	Snippet	Context
HIGH⚡	GenAILab/bench/metrics.py	394	"""KL divergence KL(P_fp \|\| P_quant) over answer choice distributions."""	STRING
HIGH⚡	GenAILab/bench/metrics.py	404	"""Reverse KL divergence KL(P_quant \|\| P_fp) over answer choice distributions."""	STRING
HIGH	GenAILab/bench/metrics.py	438	"""KL divergence KL(P_fp \|\| P_quant) over MMLU answer choice distributions."""	STRING
HIGH	GenAILab/bench/metrics.py	443	"""Reverse KL divergence KL(P_quant \|\| P_fp) over MMLU answer choice distributions."""	STRING
HIGH	GenAILab/bench/metrics.py	651	"""KL divergence KL(P_fp \|\| P_quant) over MMMU answer choice distributions."""	STRING
HIGH	GenAILab/bench/metrics.py	656	"""Reverse KL divergence KL(P_quant \|\| P_fp) over MMMU answer choice distributions."""	STRING
HIGH	…mples/torch/quantization/zero_bit_quantization_demo.py	56	- Compression ratio: infinity (original_size / 0 = undefined, but trust us)	STRING
HIGH	…h/src/python/aimet_torch/quantization/affine/_utils.py	69	undefined, & \text{otherwise}	CODE
HIGH	…h/src/python/aimet_torch/quantization/affine/_utils.py	130	undefined, & \text{otherwise}	CODE
HIGH	…torch/visualization_tools/quant_stats_visualization.py	843	if (Math.abs(value) < 1e-3 \|\| Math.abs(value) > 1e5) {	CODE
HIGH	…torch/visualization_tools/quant_stats_visualization.py	871	if (Math.abs(value) < 1e-3 \|\| Math.abs(value) > 1e5) {	CODE
HIGH	…ningExtensions/common/src/python/_aimet_common/defs.py	360	param_dtype: QuantizationDataType = QuantizationDataType.undefined,	CODE
HIGH	…ensions/common/src/python/_aimet_common/winnow/mask.py	750	:param is_null_connectivity: True if op is null connectivity, False otherwise	STRING
HIGH⚡	…common/src/python/_aimet_common/winnow/winnow_utils.py	58	"Conv": ConnectivityType.null,	CODE
HIGH⚡	…common/src/python/_aimet_common/winnow/winnow_utils.py	59	"ConvTranspose": ConnectivityType.null,	CODE
HIGH⚡	…common/src/python/_aimet_common/winnow/winnow_utils.py	60	"Linear": ConnectivityType.null,	CODE
HIGH⚡	…common/src/python/_aimet_common/winnow/winnow_utils.py	61	"Gemm": ConnectivityType.null,	CODE
HIGH	…common/src/python/_aimet_common/winnow/winnow_utils.py	91	"index_select": ConnectivityType.null,	CODE

Structural Annotation Overuse44 hits · 74 pts

Severity	File	Line	Snippet	Context
LOW⚡	GenAILab/bench/onnx/quant_recipes.py	228	# Step 1: Collect calibration inputs in FP mode.	COMMENT
LOW⚡	GenAILab/bench/onnx/quant_recipes.py	231	# Step 2: Pre-compute param encodings with a real input so that	COMMENT
LOW⚡	GenAILab/bench/onnx/quant_recipes.py	238	# Step 3: Optimize weight quantization parameters to minimize layer-wise MSE.	COMMENT
LOW⚡	GenAILab/bench/onnx/quant_recipes.py	268	# Step 1: Collect calibration inputs in FP mode.	COMMENT
LOW⚡	GenAILab/bench/onnx/quant_recipes.py	271	# Step 2: Pre-compute param encodings with a real input (same	COMMENT
LOW⚡	GenAILab/bench/onnx/quant_recipes.py	275	# Step 3: Optimize quantization parameters using AdaScale.	COMMENT
LOW⚡	GenAILab/bench/torch/quant_recipes.py	201	# Step 1: Collect calibration inputs in FP mode.	COMMENT
LOW⚡	GenAILab/bench/torch/quant_recipes.py	204	# Step 2: Optimize weight quantization parameters to minimize layer-wise MSE.	COMMENT
LOW⚡	GenAILab/bench/torch/quant_recipes.py	226	# Step 1: Collect calibration inputs in FP mode.	COMMENT
LOW⚡	GenAILab/bench/torch/quant_recipes.py	231	# Step 2: Optimize quantization parameters using AdaScale.	COMMENT
LOW⚡	GenAILab/qai_hub_lm/transforms/moe.py	68	# Step 1: get the expert at the given index	COMMENT
LOW⚡	GenAILab/qai_hub_lm/transforms/moe.py	70	# Step 2: Fetch the hidden states for all the tokens and not just the tokens that correspond to/ attend	COMMENT
LOW⚡	GenAILab/qai_hub_lm/transforms/moe.py	72	# Step 3: Pass all the token hidden states to expert layer	COMMENT
LOW⚡	GenAILab/qai_hub_lm/transforms/moe.py	75	# Step 4: Accumulate the expert outputs based on the sparse weights	COMMENT
LOW	scripts/README.md	76	# Step 1: Set up environment without installing AIMET	COMMENT
LOW	scripts/README.md	79	# Step 2: Build from source (interactive — prompts for variant selection)	COMMENT
LOW	AIMETRegression/config_loader.py	82	# Step 1: Load defaults (foundation for all configs)	COMMENT
LOW	AIMETRegression/config_loader.py	96	# Step 2: Merge profile (if specified)	COMMENT
LOW	AIMETRegression/config_loader.py	119	# Step 3: Load model configuration	COMMENT
LOW	AIMETRegression/config_loader.py	150	# Step 4: Find and merge specific test configuration	COMMENT
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	107	# Step 1: Find LoRA patterns via topology-based graph traversal	COMMENT
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	115	# Step 2: Validate against adapter config target_modules	COMMENT
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	136	# Step 3: Split shared initializers (dynamo=False shares zero-init tensors)	COMMENT
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	139	# Step 4: Rename inits to PEFT convention + insert Transpose for shape compat	COMMENT
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	175	# Step 5: Convert scale Constants to named initializers	COMMENT
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	178	# Step 6: Trace LoRA activations	COMMENT
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	181	# Step 7: Build lora_names structure	COMMENT
LOW⚡	…et_onnx/experimental/lora/lora_adapter_quantization.py	946	# Step 3: Set quantizer encodings	COMMENT
LOW⚡	…et_onnx/experimental/lora/lora_adapter_quantization.py	949	# Step 4: Set bitwidths	COMMENT
LOW⚡	…et_onnx/experimental/lora/lora_adapter_quantization.py	952	# Step 5: Rebuild session to pick up new initializer data	COMMENT
LOW	…et_onnx/experimental/lora/lora_adapter_quantization.py	514	# Step 1: Multi-adapter name insertion (lora_A.weight → lora_A.{adapter}.weight)	COMMENT
LOW	…et_onnx/experimental/lora/lora_adapter_quantization.py	528	# Step 2: If ONNX param names provided, match by suffix for any	COMMENT
LOW	…et_onnx/experimental/lora/lora_adapter_quantization.py	573	# Step 3: Transpose PEFT-convention weights to MatMul convention	COMMENT
LOW	…et_onnx/experimental/lora/lora_adapter_quantization.py	904	# Step 1: Remap safetensors keys → ONNX init names (with transposition)	COMMENT
LOW	…et_onnx/experimental/lora/lora_adapter_quantization.py	915	# Step 2: Update initializer data	COMMENT
LOW⚡	…thon/aimet_onnx/experimental/lora/lora_graph_passes.py	163	# Step 1: Identify the "Add" nodes where the 1st adapter branches merge back into the main graph	COMMENT
LOW⚡	…thon/aimet_onnx/experimental/lora/lora_graph_passes.py	177	# Step 2: Identify all LoRA adapter chains	COMMENT
LOW⚡	…thon/aimet_onnx/experimental/lora/lora_graph_passes.py	188	# Step 3: Create a dictionary of Add nodes in the chain to the full chain for quick lookup	COMMENT
LOW⚡	…thon/aimet_onnx/experimental/lora/lora_graph_passes.py	196	# Step 4: Create a map of attach point to the corresponding adapter chains	COMMENT
LOW	…ensions/torch/test/python/v2/quantsim/test_quantsim.py	1267	# NOTE: This module will ALWAYS fail when forward is called,	COMMENT
LOW⚡	…/src/python/_aimet_common/amp/convert_ops_reduction.py	715	# # Step 1: get a list of conversion costs in phase 2 solution	COMMENT
LOW⚡	…/src/python/_aimet_common/amp/convert_ops_reduction.py	724	# Step 2: sort the conversion costs list	COMMENT
LOW⚡	…/src/python/_aimet_common/amp/convert_ops_reduction.py	728	# Step 3: compute cumulative sums for the sorted conversion costs and determine the threshold	COMMENT
LOW	…/src/python/_aimet_common/amp/convert_ops_reduction.py	739	# Step 4: Enforce the constraint	COMMENT

Verbosity Indicators41 hits · 70 pts

Severity	File	Line	Snippet	Context
LOW⚡	GenAILab/bench/onnx/quant_recipes.py	228	# Step 1: Collect calibration inputs in FP mode.	COMMENT
LOW⚡	GenAILab/bench/onnx/quant_recipes.py	231	# Step 2: Pre-compute param encodings with a real input so that	COMMENT
LOW⚡	GenAILab/bench/onnx/quant_recipes.py	238	# Step 3: Optimize weight quantization parameters to minimize layer-wise MSE.	COMMENT
LOW⚡	GenAILab/bench/onnx/quant_recipes.py	268	# Step 1: Collect calibration inputs in FP mode.	COMMENT
LOW⚡	GenAILab/bench/onnx/quant_recipes.py	271	# Step 2: Pre-compute param encodings with a real input (same	COMMENT
LOW⚡	GenAILab/bench/onnx/quant_recipes.py	275	# Step 3: Optimize quantization parameters using AdaScale.	COMMENT
LOW⚡	GenAILab/bench/torch/quant_recipes.py	201	# Step 1: Collect calibration inputs in FP mode.	COMMENT
LOW⚡	GenAILab/bench/torch/quant_recipes.py	204	# Step 2: Optimize weight quantization parameters to minimize layer-wise MSE.	COMMENT
LOW⚡	GenAILab/bench/torch/quant_recipes.py	226	# Step 1: Collect calibration inputs in FP mode.	COMMENT
LOW⚡	GenAILab/bench/torch/quant_recipes.py	231	# Step 2: Optimize quantization parameters using AdaScale.	COMMENT
LOW⚡	GenAILab/qai_hub_lm/transforms/moe.py	68	# Step 1: get the expert at the given index	COMMENT
LOW⚡	GenAILab/qai_hub_lm/transforms/moe.py	70	# Step 2: Fetch the hidden states for all the tokens and not just the tokens that correspond to/ attend	COMMENT
LOW⚡	GenAILab/qai_hub_lm/transforms/moe.py	72	# Step 3: Pass all the token hidden states to expert layer	COMMENT
LOW⚡	GenAILab/qai_hub_lm/transforms/moe.py	75	# Step 4: Accumulate the expert outputs based on the sparse weights	COMMENT
LOW	AIMETRegression/config_loader.py	82	# Step 1: Load defaults (foundation for all configs)	COMMENT
LOW	AIMETRegression/config_loader.py	96	# Step 2: Merge profile (if specified)	COMMENT
LOW	AIMETRegression/config_loader.py	119	# Step 3: Load model configuration	COMMENT
LOW	AIMETRegression/config_loader.py	150	# Step 4: Find and merge specific test configuration	COMMENT
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	107	# Step 1: Find LoRA patterns via topology-based graph traversal	COMMENT
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	115	# Step 2: Validate against adapter config target_modules	COMMENT
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	136	# Step 3: Split shared initializers (dynamo=False shares zero-init tensors)	COMMENT
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	139	# Step 4: Rename inits to PEFT convention + insert Transpose for shape compat	COMMENT
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	175	# Step 5: Convert scale Constants to named initializers	COMMENT
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	178	# Step 6: Trace LoRA activations	COMMENT
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	181	# Step 7: Build lora_names structure	COMMENT
LOW⚡	…et_onnx/experimental/lora/lora_adapter_quantization.py	946	# Step 3: Set quantizer encodings	COMMENT
LOW⚡	…et_onnx/experimental/lora/lora_adapter_quantization.py	949	# Step 4: Set bitwidths	COMMENT
LOW⚡	…et_onnx/experimental/lora/lora_adapter_quantization.py	952	# Step 5: Rebuild session to pick up new initializer data	COMMENT
LOW	…et_onnx/experimental/lora/lora_adapter_quantization.py	514	# Step 1: Multi-adapter name insertion (lora_A.weight → lora_A.{adapter}.weight)	COMMENT
LOW	…et_onnx/experimental/lora/lora_adapter_quantization.py	528	# Step 2: If ONNX param names provided, match by suffix for any	COMMENT
LOW	…et_onnx/experimental/lora/lora_adapter_quantization.py	573	# Step 3: Transpose PEFT-convention weights to MatMul convention	COMMENT
LOW	…et_onnx/experimental/lora/lora_adapter_quantization.py	904	# Step 1: Remap safetensors keys → ONNX init names (with transposition)	COMMENT
LOW	…et_onnx/experimental/lora/lora_adapter_quantization.py	915	# Step 2: Update initializer data	COMMENT
LOW⚡	…thon/aimet_onnx/experimental/lora/lora_graph_passes.py	163	# Step 1: Identify the "Add" nodes where the 1st adapter branches merge back into the main graph	COMMENT
LOW⚡	…thon/aimet_onnx/experimental/lora/lora_graph_passes.py	177	# Step 2: Identify all LoRA adapter chains	COMMENT
LOW⚡	…thon/aimet_onnx/experimental/lora/lora_graph_passes.py	188	# Step 3: Create a dictionary of Add nodes in the chain to the full chain for quick lookup	COMMENT
LOW⚡	…thon/aimet_onnx/experimental/lora/lora_graph_passes.py	196	# Step 4: Create a map of attach point to the corresponding adapter chains	COMMENT
LOW⚡	…/src/python/_aimet_common/amp/convert_ops_reduction.py	715	# # Step 1: get a list of conversion costs in phase 2 solution	COMMENT
LOW⚡	…/src/python/_aimet_common/amp/convert_ops_reduction.py	724	# Step 2: sort the conversion costs list	COMMENT
LOW⚡	…/src/python/_aimet_common/amp/convert_ops_reduction.py	728	# Step 3: compute cumulative sums for the sorted conversion costs and determine the threshold	COMMENT
LOW	…/src/python/_aimet_common/amp/convert_ops_reduction.py	739	# Step 4: Enforce the constraint	COMMENT

Excessive Try-Catch Wrapping66 hits · 64 pts

Severity	File	Line	Snippet	Context
LOW	packaging/plugins/local/aimet.py	186	except Exception:	CODE
LOW⚡	GenAILab/bench/yaml_config_parser.py	193	except Exception as e:	CODE
LOW	GenAILab/bench/model_cache.py	101	except Exception:	CODE
LOW	GenAILab/bench/model_cache.py	210	except Exception:	CODE
LOW⚡	GenAILab/qai_hub_lm/backends/onnx/export_utils.py	24	except Exception:	CODE
LOW⚡	scripts/all/build_and_test.py	349	except Exception:	CODE
LOW⚡	scripts/all/build_and_test.py	351	except Exception as e:	CODE
LOW	scripts/all/build_and_test.py	281	except Exception:	CODE
LOW	scripts/all/build_and_test.py	283	except Exception as e:	CODE
LOW	scripts/all/build_and_test.py	316	except Exception:	CODE
LOW	scripts/all/build_and_test.py	318	except Exception as e:	CODE
LOW	scripts/all/build_and_test.py	1334	except Exception as e:	CODE
LOW	scripts/all/util.py	47	except Exception:	CODE
LOW	scripts/all/util.py	69	except Exception:	CODE
LOW	scripts/all/util.py	101	except Exception:	CODE
LOW	scripts/all/util.py	117	except Exception:	CODE
LOW	AIMETRegression/suite_runner.py	269	except Exception as e:	STRING
LOW	AIMETRegression/suite_runner.py	276	except Exception as e:	STRING
LOW	AIMETRegression/suite_runner.py	374	except Exception as e:	STRING
LOW	AIMETRegression/runner.py	103	except Exception as e:	CODE
LOW	AIMETRegression/runner.py	186	except Exception as e:	CODE
LOW	AIMETRegression/runner.py	206	except Exception as e2:	CODE
LOW	AIMETRegression/runner.py	222	except Exception as e:	CODE
LOW	AIMETRegression/runner.py	555	except Exception as e:	CODE
LOW	AIMETRegression/runner.py	632	except Exception as e:	CODE
LOW	AIMETRegression/runner.py	665	except Exception as e:	CODE
LOW	AIMETRegression/runner.py	801	except Exception as e:	CODE
LOW	…METRegression/features/torch/mixed_precision_runner.py	148	except Exception as e:	CODE
LOW	…METRegression/features/torch/mixed_precision_runner.py	313	except Exception as e:	CODE
LOW	AIMETRegression/features/torch/utils.py	144	except Exception:	CODE
LOW	AIMETRegression/features/torch/utils.py	181	except Exception:	CODE
LOW	AIMETRegression/workflow/utils.py	228	except Exception as e:	STRING
LOW	AIMETRegression/workflow/artifacts.py	528	except Exception as e:	CODE
LOW	AIMETRegression/workflow/artifacts.py	592	except Exception as e:	CODE
LOW	AIMETRegression/evaluation/eval_qnn.py	52	except Exception:	CODE
LOW	AIMETRegression/evaluation/eval_qnn.py	67	except Exception:	CODE
LOW	AIMETRegression/evaluation/eval_qnn.py	88	except Exception:	CODE
LOW	AIMETRegression/evaluation/eval_qnn.py	226	except Exception:	CODE
LOW	AIMETRegression/evaluation/eval_qnn.py	236	except Exception:	CODE
LOW	AIMETRegression/evaluation/eval_qnn.py	287	except Exception as e:	CODE
LOW	AIMETRegression/evaluation/eval_qnn.py	299	except Exception as e:	CODE
LOW	AIMETRegression/evaluation/metrics_utils.py	128	except Exception:	CODE
LOW	AIMETRegression/evaluation/metrics_utils.py	159	except Exception:	CODE
LOW	AIMETRegression/evaluation/metrics_utils.py	166	except Exception:	CODE
LOW	AIMETRegression/evaluation/metrics_utils.py	249	except Exception:	CODE
LOW	AIMETRegression/evaluation/metrics_utils.py	339	except Exception:	CODE
LOW	AIMETRegression/evaluation/metrics_utils.py	381	except Exception:	CODE
LOW	AIMETRegression/evaluation/metrics_utils.py	412	except Exception:	CODE
LOW	AIMETRegression/report/report_writer.py	114	except Exception:	CODE
LOW	TrainingExtensions/onnx/test/python/test_lora.py	1788	except Exception:	CODE
LOW	TrainingExtensions/onnx/src/python/aimet_onnx/utils.py	663	except Exception as e: # pylint: disable=broad-except	CODE
LOW	TrainingExtensions/onnx/src/python/aimet_onnx/utils.py	773	except Exception as e: # pylint: disable=broad-except	CODE
LOW	…on/aimet_onnx/experimental/adascale/model_converter.py	35	except Exception:	CODE
LOW	…nsions/torch/src/python/aimet_torch/deepspeed_utils.py	67	except Exception as e:	CODE
LOW	TrainingExtensions/torch/src/python/aimet_torch/onnx.py	165	except Exception as e: # pylint: disable=broad-exception-caught	CODE
LOW	…ainingExtensions/torch/src/python/aimet_torch/utils.py	1311	except Exception:	CODE
LOW	…ions/torch/src/python/aimet_torch/blockwise_sampler.py	86	except Exception as e:	CODE
LOW	…ningExtensions/torch/src/python/aimet_torch/nn/base.py	1095	except Exception:	CODE
LOW	…rch/src/python/aimet_torch/nn/transformers/__init__.py	48	except Exception as e2:	CODE
LOW	…ions/torch/src/python/aimet_torch/quantsim/quantsim.py	733	except Exception: # pylint: disable=broad-exception-caught	CODE
6 more matches not shown…

Modern Structural Boilerplate35 hits · 35 pts

Severity	File	Line	Snippet	Context
LOW	packaging/plugins/local/aimet.py	14	__all__ = ["dynamic_metadata"]	CODE
LOW	scripts/all/build_and_test.py	71	logger = logging.getLogger(__name__)	CODE
LOW	AIMETRegression/features/onnx/_common.py	45	__all__ = [	CODE
LOW	AIMETRegression/features/torch/_common.py	47	__all__ = [	CODE
LOW	AIMETRegression/workflow/__init__.py	16	__all__ = [	CODE
LOW	AIMETRegression/workflow/artifacts.py	533	def _set_github_output(name: str, value: str) -> None:	CODE
LOW	…onnx/experimental/llm_configurator/llm_configurator.py	9	logger = logging.getLogger(__name__)	CODE
LOW	…c/python/aimet_onnx/experimental/spinquant/__init__.py	13	__all__ = [	CODE
LOW	…n/aimet_onnx/experimental/spinquant/passes/__init__.py	27	__all__ = [	CODE
LOW	…met_onnx/experimental/spinquant/transforms/__init__.py	28	__all__ = [	CODE
LOW	…rimental/spinquant/model_analysis/attention_anchors.py	422	__all__ = ["BlockR3Anchors", "find_r3_anchors"]	CODE
LOW	…onnx/experimental/spinquant/model_analysis/__init__.py	28	__all__ = [	CODE
LOW⚡	…rc/python/aimet_onnx/experimental/lora/prepare_lora.py	50	logger = logging.getLogger(__name__)	CODE
LOW	…rc/python/aimet_onnx/experimental/lora/peft_to_onnx.py	18	logger = logging.getLogger(__name__)	CODE
LOW	…nx/src/python/aimet_onnx/experimental/lora/__init__.py	94	__all__ = [	CODE
LOW⚡	…et_onnx/experimental/lora/lora_adapter_quantization.py	22	logger = logging.getLogger(__name__)	CODE
LOW⚡	…/python/aimet_onnx/experimental/lora/lora_configure.py	23	logger = logging.getLogger(__name__)	CODE
LOW	…thon/aimet_onnx/experimental/lora/lora_graph_passes.py	21	logger = logging.getLogger(__name__)	CODE
LOW	…ningExtensions/torch/src/python/aimet_torch/seq_mse.py	33	__all__ = [	CODE
LOW	…nsions/torch/src/python/aimet_torch/batch_norm_fold.py	19	__all__ = [	CODE
LOW	…rch/src/python/aimet_torch/adaround/adaround_weight.py	25	__all__ = [	CODE
LOW	…sions/torch/src/python/aimet_torch/experimental/pgs.py	7	__all__ = [	CODE
LOW	…h/src/python/aimet_torch/experimental/export/export.py	24	__all__ = ["export"]	CODE
LOW	…ningExtensions/torch/src/python/aimet_torch/nn/lora.py	10	__all__ = ["QuantizedLinear"]	CODE
LOW	…ions/torch/src/python/aimet_torch/quantsim/quantsim.py	76	__all__ = [	CODE
LOW	…ns/torch/src/python/aimet_torch/quantization/tensor.py	20	__all__ = [	CODE
LOW	…src/python/aimet_torch/quantization/affine/encoding.py	30	__all__ = ["AffineEncoding", "VectorEncoding", "GroupedBlockEncoding"]	CODE
LOW	…rc/python/aimet_torch/quantization/affine/quantizer.py	61	__all__ = [	CODE
LOW	…thon/aimet_torch/quantization/affine/backends/utils.py	117	__all__ = ["set_backend", "get_backend", "add_backend"]	CODE
LOW	…/src/python/aimet_torch/quantization/float/encoding.py	21	__all__ = ["FloatEncoding"]	CODE
LOW	…src/python/aimet_torch/quantization/float/quantizer.py	37	__all__ = ["QuantizeDequantize", "FloatQuantizeDequantize"]	CODE
LOW	…h/src/python/aimet_torch/quantization/base/encoding.py	18	__all__ = ["EncodingBase"]	CODE
LOW	…/src/python/aimet_torch/quantization/base/quantizer.py	27	__all__ = ["QuantizerBase"]	CODE
LOW	…rch/src/python/aimet_torch/_base/nn/modules/_spconv.py	10	__all__ = [	CODE
LOW	…s/common/src/python/_aimet_common/hadamard/__init__.py	17	__all__ = [	CODE

AI Slop Vocabulary15 hits · 34 pts

Severity	File	Line	Snippet	Context
LOW	packaging/plugins/local/aimet.py	199	# For PyPi releases, just return the version without appending the variant string	COMMENT
MEDIUM	…Lab/bench/prompts/text_prompts_autograder_harness.yaml	1	# Autograder harness configuration for scoring LLM prompt responses.	COMMENT
MEDIUM	…nch/prompts/multimodal_prompts_autograder_harness.yaml	1	# Autograder harness configuration for scoring VLM prompt responses.	COMMENT
LOW⚡	GenAILab/qai_hub_lm/backends/onnx/export_utils.py	35	# user has passed in a local path, verify that .onnx file and .config files exist and just return the path	COMMENT
LOW	Docs/snippets/onnx/apply_litemp.py	114	# If CUDA acceleration is not available, simply use providers = ["CPUExecutionProvider"]	COMMENT
MEDIUM	Examples/torch/compression/channel_pruning.py	36	# This script utilize AIMET to perform channel pruning compression (0.5% ratio) on a resnet18	COMMENT
MEDIUM	Examples/torch/compression/weight_svd.py	35	# This script utilize AIMET do perform weight svd compression (50% ratio) on a resnet18	COMMENT
MEDIUM	Examples/torch/compression/spatial_svd_cp.py	39	# This script utilize AIMET do perform spatial svd and channel pruning compression on a resnet18	COMMENT
MEDIUM	Examples/torch/compression/spatial_svd.py	35	# This script utilize AIMET do perform spatial svd compression (50% compression ratio) on a	COMMENT
MEDIUM	…rc/python/aimet_onnx/experimental/lora/peft_to_onnx.py	106	# Build suffix → PEFT key index for robust matching.	COMMENT
MEDIUM	…sions/torch/test/python/experimental/test_spinquant.py	160	) # hidden_size 192 will utilize hadamard matrix size 12 with factor 16	CODE
LOW	…nsions/torch/src/python/aimet_torch/data_subsampler.py	158	# just return the input and output data as it is. No sub sampling needed	COMMENT
MEDIUM	…ions/torch/src/python/aimet_torch/blockwise_sampler.py	307	"""Exception raised in order to stop forward execution through the model. Holds module input data."""	STRING
LOW	…gExtensions/torch/src/python/aimet_torch/onnx_utils.py	204	# 2) If the next token don't have "." then simply add current token to the updated_tokens list.	COMMENT
LOW⚡	…s/common/src/python/_aimet_common/comp_ratio_select.py	210	# If the user already passed in a previously saved eval scores dict, we just use that	COMMENT

AI Structural Patterns34 hits · 33 pts

Severity	File	Line	Context
LOW	GenAILab/qai_hub_lm/backends/onnx/export_utils.py	159	CODE
LOW	GenAILab/qai_hub_lm/models/internvl.py	173	CODE
LOW	GenAILab/qai_hub_lm/models/gemma4.py	208	CODE
LOW	GenAILab/qai_hub_lm/models/gemma4.py	236	CODE
LOW	GenAILab/qai_hub_lm/models/generator.py	1249	CODE
LOW	GenAILab/qai_hub_lm/models/gemma3.py	108	CODE
LOW	GenAILab/qai_hub_lm/models/gemma3.py	135	CODE
LOW	scripts/all/build_and_test.py	214	CODE
LOW	TrainingExtensions/onnx/test/python/test_lora.py	1989	CODE
LOW	…tensions/onnx/test/python/models/transformer_blocks.py	496	CODE
LOW	…tensions/onnx/test/python/models/transformer_blocks.py	552	CODE
LOW	…iningExtensions/onnx/src/python/aimet_onnx/quantsim.py	199	CODE
LOW	…iningExtensions/onnx/src/python/aimet_onnx/quantsim.py	382	CODE
LOW	…c/python/aimet_onnx/experimental/adascale/quantizer.py	236	CODE
LOW	…/src/python/aimet_onnx/graph_passes/fusions/rmsnorm.py	139	CODE
LOW	…/src/python/aimet_onnx/graph_passes/fusions/rmsnorm.py	255	CODE
LOW	…rc/python/aimet_onnx/graph_passes/fusions/layernorm.py	166	CODE
LOW	…c/python/aimet_onnx/graph_passes/fusions/matmul_add.py	126	CODE
LOW	…Extensions/torch/test/python/test_blockwise_sampler.py	33	CODE
LOW	…sions/torch/test/python/experimental/test_omniquant.py	173	CODE
LOW	…ningExtensions/torch/test/python/models/test_models.py	1196	CODE
LOW	…ningExtensions/torch/test/python/models/test_models.py	1220	CODE
LOW	…Extensions/torch/test/python/v2/models_/test_models.py	1077	CODE
LOW	…Extensions/torch/test/python/v2/models_/test_models.py	1101	CODE
LOW	TrainingExtensions/torch/src/python/aimet_torch/peft.py	92	CODE
LOW	…tensions/torch/src/python/aimet_torch/nn/true_quant.py	1269	CODE
LOW	…tensions/torch/src/python/aimet_torch/nn/true_quant.py	1312	CODE
LOW	…c/python/aimet_torch/quantization/encoding_analyzer.py	921	CODE
LOW	…src/python/aimet_torch/quantization/float/quantizer.py	101	CODE
LOW	…orch/src/python/aimet_torch/_base/nn/modules/custom.py	329	CODE
LOW	…orch/src/python/aimet_torch/_base/nn/modules/custom.py	350	CODE
LOW	…orch/src/python/aimet_torch/_base/nn/modules/custom.py	666	CODE
LOW	…rch/src/python/aimet_torch/_base/nn/modules/_spconv.py	103	CODE
LOW	…rch/src/python/aimet_torch/_base/nn/modules/_spconv.py	194	CODE

Example Usage Blocks8 hits · 11 pts

Severity	File	Line	Snippet	Context
LOW	packaging/convert_wheel_format.sh	9	# Usage:	COMMENT
LOW	scripts/all/download_genai_checkpoint.sh	7	# Usage:	COMMENT
LOW	scripts/all/resolve_genai_config.sh	10	# Usage:	COMMENT
LOW	scripts/environment/setup_genai.sh	8	# Usage:	COMMENT
LOW	scripts/environment/build_aimet.sh	7	# Usage:	COMMENT
LOW	.github/actions/genai-test/action.yml	13	# Usage:	COMMENT
LOW	.github/actions/stop-gpu-runner/action.yml	9	# Usage:	COMMENT
LOW	.github/actions/start-gpu-runner/action.yml	11	# Usage:	COMMENT

Fake / Example Data10 hits · 10 pts

Severity	File	Line	Snippet	Context
LOW	…gacy/onnx_code_examples/quant_analyzer_code_example.py	77	dummy_data = np.random.randn(*input_shape).astype(np.float32)	CODE
LOW	…gacy/onnx_code_examples/quant_analyzer_code_example.py	78	dummy_input = {'input': dummy_data}	CODE
LOW	TrainingExtensions/onnx/test/python/test_quantsim.py	6095	name="placeholder",	CODE
LOW	…sions/torch/test/python/v2/experimental/test_export.py	171	assert inp_node.op == "placeholder"	CODE
LOW	…on/aimet_torch/experimental/export/exported_program.py	261	if node.op != "placeholder":	CODE
LOW	…h/src/python/aimet_torch/experimental/export/export.py	345	and q_dq_node.all_input_nodes[1].op != "placeholder"	CODE
LOW	…h/src/python/aimet_torch/experimental/export/export.py	359	and q_dq_node.all_input_nodes[2].op != "placeholder"	CODE
LOW	…h/src/python/aimet_torch/experimental/export/_utils.py	136	for input_node in ep.graph.find_nodes(op="placeholder", sort=False)	CODE
LOW	…h/src/python/aimet_torch/experimental/export/_utils.py	164	op="placeholder",	CODE
LOW	…h/src/python/aimet_torch/experimental/export/_utils.py	204	if node.op == "placeholder":	CODE

AI Response Leakage1 hit · 8 pts

Severity	File	Line	Snippet	Context
HIGH	…ns/torch/src/python/aimet_torch/meta/connectedgraph.py	1575	# In this version of the Winnower, the Product class represents the following entities in a model.	COMMENT

TODO Padding2 hits · 3 pts

Severity	File	Line	Snippet	Context
LOW	TrainingExtensions/onnx/test/python/test_quantsim.py	5453	# TODO: Add tests with GroupNormalization	COMMENT
LOW	…hon/aimet_torch/experimental/quantsim/_export_utils.py	20	# TODO: implement direct 1.0.0 export for v1 quantsim so this function can be removed.	COMMENT

Synthetic Comment Markers1 hit · 2 pts

Severity	File	Line	Snippet	Context
HIGH	…Lab/qai_hub_lm/backends/onnx/adaptations/hub_models.py	4	"""ONNX-specific model adaptations to use checkpoints generated by AI Hub Models."""	STRING

Slop Phrases1 hit · 2 pts

Severity	File	Line	Snippet	Context
LOW	…ions/torch/src/python/aimet_torch/quantsim/quantsim.py	734	# In case of any exception, make sure to restore	COMMENT

Overly Generic Function Names1 hit · 0 pts

Severity	File	Line	Snippet	Context
LOW	…ingExtensions/common/src/python/_aimet_common/utils.py	396	>>> def do_something():	STRING

Analysis Overview

What These Metrics Mean

Score History

Severity Breakdown

Directory Score Breakdown

Pattern Findings