AI Slop Code RIsk Monitor

OptimalScale/LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

12.5 Moderate pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for OptimalScale/LMFlow, a Python project with 8,482 GitHub stars. SynthScan examined 45,359 lines of code across 282 source files, recording 404 pattern matches distributed across 19 syntactic categories. The legacy adjusted pattern signal is 12.5 (Moderate pattern signal); it is not an authorship estimate.

Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.

12.5
Adjusted Signal
12.5
Raw Pattern Score
100%
Time Factor
2026-08-10
Last Push
8.5K
Stars
Python
Language
45.4K
Lines of Code
282
Files
404
Pattern Hits
2026-10-12
Scan Date
0.11
HC Hit Rate

Risk Review · v3

Use each vector to guide manual verification of the underlying findings.

Cognitive Ownership Risk 29.3/100 · MEDIUM

Can maintainers explain intent, assumptions, and trade-offs? 278 finding(s).

Hallucinated Dependency & Supply Chain Risk 3.4/100 · LOW

Are imports declared and package/API names verified? 27 finding(s).

Agent Over-Engineering Ratio 32.5/100 · MEDIUM

Are wrappers, guards, and repeated structures necessary? 228 finding(s).

PR Review Velocity Impact 47.9/100 · MEDIUM

Which changes need focused human review? 404 finding(s).

What These Metrics Mean

Adjusted Signal
Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score
Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor
A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits
Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate
High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files
Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.

Severity Breakdown

Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.

CRITICAL 0HIGH 32MEDIUM 14LOW 358

Directory Score Breakdown

This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.

Pattern Findings

The scanner identified 404 distinct pattern matches across 19 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. 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 configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.

Cross-File Repetition27 hits · 135 pts
SeverityFileLineSnippetContext
HIGH…SA-diffusion/diffusion_dpo/train_diffusion_dpo_lisa.py0update target parameters to be closer to those of source parameters using an exponential moving average. :param target_pSTRING
HIGH…ent_consistency_model/train_lcm_distill_sd_wds_lisa.py0update target parameters to be closer to those of source parameters using an exponential moving average. :param target_pSTRING
HIGH…ent_consistency_model/train_lcm_distill_sd_wds_lora.py0update target parameters to be closer to those of source parameters using an exponential moving average. :param target_pSTRING
HIGHtests/datasets/test_dataset.py0a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring shSTRING
HIGHtests/models/test_hf_decoder_model.py0a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring shSTRING
HIGHexamples/evaluation.py0a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring shSTRING
HIGHexamples/finetune_multi_modal.py0a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring shSTRING
HIGHexamples/finetune.py0a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring shSTRING
HIGHexamples/benchmarking.py0a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring shSTRING
HIGHsrc/lmflow/models/encoder_decoder_model.py0a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring shSTRING
HIGHsrc/lmflow/models/decoder_model.py0a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring shSTRING
HIGHcontrib/tool-finetune/function_call_finetune.py0tokenize the full dataset. parameters ------------ dataset : lmflow.datasets.dataset. args : optional. positional argumeSTRING
HIGHsrc/lmflow/models/hf_decoder_model.py0tokenize the full dataset. parameters ------------ dataset : lmflow.datasets.dataset. args : optional. positional argumeSTRING
HIGHsrc/lmflow/models/hf_text_regression_model.py0tokenize the full dataset. parameters ------------ dataset : lmflow.datasets.dataset. args : optional. positional argumeSTRING
HIGHexamples/chatbot_gradio.py0a simple shell chatbot implemented with lmflow apis.STRING
HIGHexamples/inference.py0a simple shell chatbot implemented with lmflow apis.STRING
HIGHexamples/chatbot.py0a simple shell chatbot implemented with lmflow apis.STRING
HIGHsrc/lmflow/optim/lamb.py0performs a single optimization step. arguments: closure: a closure that reevaluates the model and returns the loss.STRING
HIGHsrc/lmflow/optim/lars.py0performs a single optimization step. arguments: closure: a closure that reevaluates the model and returns the loss.STRING
HIGHsrc/lmflow/optim/adamp.py0performs a single optimization step. arguments: closure: a closure that reevaluates the model and returns the loss.STRING
HIGHsrc/lmflow/optim/yogi.py0performs a single optimization step. arguments: closure: a closure that reevaluates the model and returns the loss.STRING
HIGHsrc/lmflow/optim/radam.py0performs a single optimization step. arguments: closure: a closure that reevaluates the model and returns the loss.STRING
HIGHsrc/lmflow/optim/adabound.py0performs a single optimization step. arguments: closure: a closure that reevaluates the model and returns the loss.STRING
HIGHsrc/lmflow/optim/sgdp.py0performs a single optimization step. arguments: closure: a closure that reevaluates the model and returns the loss.STRING
HIGHsrc/lmflow/optim/sgd_schedule_free.py0performs a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returnSTRING
HIGHsrc/lmflow/optim/adamw_schedule_free.py0performs a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returnSTRING
HIGHsrc/lmflow/optim/muon.py0performs a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and returnSTRING
Hyper-Verbose Identifiers115 hits · 120 pts
SeverityFileLineSnippetContext
LOW…al/LISA-diffusion/diffusion_dpo/train_diffusion_dpo.py69def import_model_class_from_model_name_or_path(pretrained_model_name_or_path: str, revision: str):CODE
LOW…SA-diffusion/diffusion_dpo/train_diffusion_dpo_lisa.py90def import_model_class_from_model_name_or_path(pretrained_model_name_or_path: str, revision: str):CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lisa.py134def tarfile_to_samples_nothrow(src, handler=wds.warn_and_continue):CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lisa.py375def scalings_for_boundary_conditions(timestep, sigma_data=0.5, timestep_scaling=10.0):CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lisa.py383def get_predicted_original_sample(model_output, timesteps, sample, prediction_type, alphas, sigmas):CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lisa.py468def import_model_class_from_model_name_or_path(CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lora.py77def get_module_kohya_state_dict(module, prefix: str, dtype: torch.dtype, adapter_name: str = "default"):CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lora.py129def tarfile_to_samples_nothrow(src, handler=wds.warn_and_continue):CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lora.py356def scalings_for_boundary_conditions(timestep, sigma_data=0.5, timestep_scaling=10.0):CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lora.py364def get_predicted_original_sample(model_output, timesteps, sample, prediction_type, alphas, sigmas):CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lora.py448def import_model_class_from_model_name_or_path(CODE
LOWtests/pipeline/test_evaluator_messages.py9 def test_nll_unsupported_dataset_message_includes_type(self):CODE
LOW⚡tests/pipeline/test_auto_pipeline.py14 def test_get_evaluator_pipeline(self):CODE
LOW⚡tests/pipeline/test_auto_pipeline.py23 def test_get_finetuner_pipeline(self):CODE
LOW⚡tests/pipeline/test_auto_pipeline.py32 def test_get_inferencer_pipeline(self):CODE
LOW⚡tests/pipeline/test_auto_pipeline.py41 def test_get_unsupported_pipeline(self):CODE
LOWtests/pipeline/test_sglang_infernecer.py22def sglang_test_inferencer_args() -> InferencerArguments:CODE
LOWtests/pipeline/test_memory_safe_vllm_inferencer.py66 def test_inference_detokenize(self):CODE
LOWtests/pipeline/test_vllm_inferencer.py69 def test_override_with_inference_args(self, model_args, inferencer_args):CODE
LOWtests/pipeline/test_vllm_inferencer.py131 def test_creates_dataproto_with_repeat(self):CODE
LOWtests/pipeline/test_vllm_inferencer.py167def vllm_test_inferencer_args() -> InferencerArguments:CODE
LOWtests/pipeline/test_vllm_inferencer.py226def test_vllm_inferencer_save_load(CODE
LOWtests/datasets/conftest.py8def dataset_inference_conversation() -> Dataset:CODE
LOWtests/datasets/conftest.py17def dataset_inference_conversation_batch() -> Dataset:CODE
LOWtests/datasets/test_dataset.py56 def test_create_from_dict_bad_type(self):CODE
LOW⚡tests/utils/test_envs.py17 def test_is_accelerate_env_false_without_prefix(self):CODE
LOW⚡tests/utils/test_envs.py21 def test_is_accelerate_env_true_with_prefix(self):CODE
LOW⚡tests/utils/test_envs.py25 def test_is_accelerate_env_false_when_accelerate_not_prefix(self):CODE
LOW⚡tests/utils/test_envs.py31 def test_get_device_name_cpu_when_cuda_unavailable(self, _mock_cuda: object):CODE
LOW⚡tests/utils/test_envs.py35 def test_get_device_name_cuda_when_cuda_available(self, _mock_cuda: object):CODE
LOW⚡tests/utils/test_envs.py38 def test_get_torch_device_matches_device_name(self):CODE
LOW⚡tests/utils/test_envs.py48 def test_get_torch_device_fallback_returns_cuda_on_attribute_error(self, _mock_name: object):CODE
LOW⚡tests/utils/test_envs.py56 def test_require_cuda_for_gpu_mode_raises_when_cuda_unavailable(self, _mock_cuda: object):CODE
LOW⚡tests/utils/test_envs.py63 def test_set_cuda_device_calls_torch_set_device(self, mock_set_device: object, _mock_cuda: object):CODE
LOW⚡tests/utils/test_envs.py69 def test_set_cuda_device_raises_without_cuda(self, mock_set_device: object, _mock_cuda: object):CODE
LOWtests/utils/test_conversation_template.py131 def test_encode_conversation_singleturn(self):CODE
LOWtests/utils/test_conversation_template.py140 def test_encode_conversation_multiturn(self):CODE
LOWtests/utils/test_conversation_template.py156 def test_encode_conversation_singleturn(self):CODE
LOWtests/utils/test_conversation_template.py165 def test_encode_conversation_multiturn(self):CODE
LOWtests/utils/test_conversation_formatter.py7 def test_format_string_component(self):CODE
LOWtests/models/test_hf_decoder_model.py290def make_gt_from_conversation_ids(conversation_ids):CODE
LOWtests/models/test_hf_decoder_model.py303def make_gt_from_conversation_ids_batch(batched_conversation_ids):CODE
LOWtests/models/test_hf_decoder_model.py367 def test_tokenize_text_only_multiple(self):CODE
LOWtests/models/test_hf_decoder_model.py411 def test_tokenize_conversation(self):CODE
LOWtests/models/test_hf_decoder_model.py516 def test_tokenize_conversation_multiple(self):CODE
LOWtests/models/test_auto_model.py24 def test_get_text_regression_model(self):STRING
LOWtests/models/test_auto_model.py40 def test_get_unsupported_model(self):CODE
LOWdocs/source/conf.py67def _skip_internal_autoapi_modules(app, what, name, obj, skip, options):CODE
LOWcontrib/tool-finetune/function_call_finetune.py158def conversation_tokenize_function(CODE
LOWexamples/benchmarking.py115def is_lmflow_local_benchmarking(dataset_name):CODE
LOW⚡examples/benchmarking.py142def is_lm_evaluation_benchmarking(dataset_name):CODE
LOW⚡examples/benchmarking.py149def run_lmflow_local_benchmarking(CODE
LOWexamples/benchmarking.py191def run_lm_evaluation_benchmarking(dataset_name, model_name):CODE
LOWscripts/archive/convert_llama_weights_to_hf.py59def compute_intermediate_size(n):CODE
LOWsrc/lmflow/pipeline/dpo_aligner.py57 def return_prompt_and_responses(samples) -> dict[str, str]:CODE
LOWsrc/lmflow/pipeline/iterative_dpo_aligner.py120 def _do_target_model_inference(CODE
LOWsrc/lmflow/pipeline/iterative_dpo_aligner.py145 def _build_response_generator(CODE
LOWsrc/lmflow/pipeline/iterative_dpo_aligner.py168 def _dataproto_to_text_to_textlist_instances(res: DataProto) -> list[dict]:CODE
LOWsrc/lmflow/pipeline/iterative_dpo_aligner.py185 def _do_reward_model_inference(CODE
LOWsrc/lmflow/pipeline/iterative_dpo_aligner.py230 def _parse_target_model_inference_args(CODE
55 more matches not shown…
Deep Nesting94 hits · 86 pts
SeverityFileLineSnippetContext
LOWexperimental/RAFT-diffusion/train_text_to_image_lora.py361CODE
LOW…fusion/instruct_pix2pix/train_instruct_pix2pix_lisa.py404CODE
LOW…al/LISA-diffusion/diffusion_dpo/train_diffusion_dpo.py465CODE
LOW…SA-diffusion/diffusion_dpo/train_diffusion_dpo_lisa.py494CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lisa.py241CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lisa.py849CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lisa.py874CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lora.py236CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lora.py842CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lora.py867CODE
LOWcontrib/langchain/retrieval_chatbot.py51CODE
LOWcontrib/langchain/retrieval_chatbot.py85CODE
LOWcontrib/text2image/diffuser_finetuner.py99CODE
LOWcontrib/tool-finetune/function_call_finetune.py158CODE
LOWcontrib/tool-finetune/function_call_finetune.py35CODE
LOWexamples/vis_chatbot.py63CODE
LOWexamples/chatbot.py42CODE
LOWexamples/vis_chatbot_gradio.py155CODE
LOWexamples/vis_chatbot_gradio.py214CODE
LOWexamples/benchmarking.py115CODE
LOWscripts/archive/export_llama_state_dict_checkpoint.py19CODE
LOWsrc/lmflow/pipeline/inferencer.py128CODE
LOWsrc/lmflow/pipeline/dpov2_aligner.py228CODE
LOWsrc/lmflow/pipeline/dpov2_aligner.py250CODE
LOWsrc/lmflow/pipeline/evaluator.py179CODE
LOWsrc/lmflow/pipeline/evaluator.py287CODE
LOWsrc/lmflow/pipeline/evaluator.py440CODE
LOWsrc/lmflow/pipeline/utils/dpov2_dataprocessor.py133CODE
LOWsrc/lmflow/pipeline/utils/dpov2_trainer.py102CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py282CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py865CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py1003CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py1059CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py1180CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py1266CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py1327CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py1613CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py2053CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py2073CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py2131CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py2282CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py2391CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py2561CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py2714CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py3270CODE
LOWsrc/lmflow/datasets/multi_modal_dataset.py94CODE
LOWsrc/lmflow/datasets/multi_modal_dataset.py44CODE
LOWsrc/lmflow/datasets/dataset.py72CODE
LOWsrc/lmflow/datasets/dataset.py150CODE
LOWsrc/lmflow/optim/adan.py75CODE
LOWsrc/lmflow/optim/lars.py85CODE
LOWsrc/lmflow/optim/sgd_schedule_free.py61CODE
LOWsrc/lmflow/optim/sgd_schedule_free.py73CODE
LOWsrc/lmflow/optim/sgd_schedule_free.py85CODE
LOWsrc/lmflow/optim/adabelief.py88CODE
LOWsrc/lmflow/optim/novograd.py31CODE
LOWsrc/lmflow/optim/utils.py10CODE
LOWsrc/lmflow/optim/utils.py13CODE
LOWsrc/lmflow/optim/radam.py65CODE
LOWsrc/lmflow/optim/adamw_schedule_free.py58CODE
34 more matches not shown…
Modern Structural Boilerplate50 hits · 50 pts
SeverityFileLineSnippetContext
LOWtests/pipeline/test_memory_safe_vllm_inferencer.py16logger = logging.getLogger(__name__)CODE
LOWcontrib/text2image/t2i_dataset.py15logger = logging.getLogger(__name__)CODE
LOWcontrib/text2image/diffuser_finetuner.py28logger = logging.getLogger(__name__)CODE
LOWcontrib/tool-finetune/function_call_finetune.py31logger = logging.getLogger(__name__)CODE
LOWexamples/iterative_dpo_train.py19logger = logging.getLogger(__name__)CODE
LOWexamples/dpov2_train.py20logger = logging.getLogger(__name__)CODE
LOWexamples/multistage_finetune.py33logger = logging.getLogger(__name__)CODE
LOWexamples/reward_modeling.py20logger = logging.getLogger(__name__)CODE
LOWexamples/sglang_inference.py18logger = logging.getLogger(__name__)CODE
LOWexamples/vllm_inference.py18logger = logging.getLogger(__name__)CODE
LOWexamples/rm_inference.py18logger = logging.getLogger(__name__)CODE
LOWexamples/benchmarking.py32logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/__init__.py21__all__ = ["args", "datasets", "models", "pipeline", "utils"]CODE
LOWsrc/lmflow/args.py31logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/pipeline/iterative_dpo_aligner.py26logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/pipeline/sglang_inferencer.py20logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/pipeline/vllm_inferencer.py28logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/pipeline/inferencer.py42logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/pipeline/raft_aligner.py31logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/pipeline/rm_inferencer.py38logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/pipeline/rm_tuner.py13logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/pipeline/dpov2_aligner.py22logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/pipeline/finetuner.py37logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/pipeline/utils/dpov2_dataprocessor.py12logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/pipeline/utils/rm_dataprocessor.py8logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/pipeline/utils/dpov2_trainer.py26logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/pipeline/utils/memory_safe_dpov2_align.py18logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/pipeline/utils/memory_safe_vllm_inference.py24logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/datasets/dataset.py33logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/optim/__init__.py3__all__ = ["create_customized_optimizer"]CODE
LOWsrc/lmflow/utils/envs.py11logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/utils/envs.py13__all__ = [CODE
LOWsrc/lmflow/utils/envs.py37def set_cuda_device(local_rank: int) -> None:CODE
LOWsrc/lmflow/utils/protocol.py26logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/utils/deprecated.py10__all__ = ["deprecated_args"]CODE
LOWsrc/lmflow/utils/model.py9logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/utils/common.py10logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/utils/versioning.py10logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/utils/conversation_template/__init__.py28__all__ = [CODE
LOWsrc/lmflow/utils/conversation_template/__init__.py33logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/utils/conversation_template/llama.py13logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/utils/conversation_template/zephyr.py11logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/utils/conversation_template/gemma.py8logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/utils/conversation_template/base.py14logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/models/hf_decoder_model.py45logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/models/hf_text_regression_model.py42logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/models/hf_model_mixin.py30logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/models/vision_encoder/__init__.py3__all__ = ["build_vision_tower"]CODE
LOWsrc/lmflow/tokenization/hf_decoder_model.py15logger = logging.getLogger(__name__)CODE
LOWsrc/lmflow/tokenization/hf_text_regression_model.py15logger = logging.getLogger(__name__)CODE
Unused Imports26 hits · 24 pts
SeverityFileLineSnippetContext
LOWtests/models/test_hf_decoder_model.py15CODE
LOWtests/models/test_hf_decoder_model.py20CODE
LOWtests/models/test_hf_decoder_model.py27CODE
LOWtests/models/test_hf_decoder_model.py27CODE
LOWtests/models/test_hf_decoder_model.py31CODE
LOWsrc/lmflow/__init__.py8CODE
LOWsrc/lmflow/__init__.py8CODE
LOWsrc/lmflow/__init__.py8CODE
LOWsrc/lmflow/__init__.py8CODE
LOWsrc/lmflow/__init__.py8CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py23CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py23CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py23CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py23CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py280CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py280CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py280CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py280CODE
LOWsrc/lmflow/datasets/__init__.py8CODE
LOWsrc/lmflow/datasets/__init__.py12CODE
LOWsrc/lmflow/optim/__init__.py1CODE
LOWsrc/lmflow/utils/test_utils.py4CODE
LOWsrc/lmflow/utils/conversation_template/__init__.py7CODE
LOWsrc/lmflow/utils/conversation_template/__init__.py7CODE
LOWsrc/lmflow/models/hf_text_regression_model.py39CODE
LOWsrc/lmflow/models/vision_encoder/__init__.py1CODE
Excessive Try-Catch Wrapping18 hits · 22 pts
SeverityFileLineSnippetContext
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lisa.py158 except Exception:CODE
MEDIUM…ent_consistency_model/train_lcm_distill_sd_wds_lisa.py147def __call__(self, x):CODE
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lora.py153 except Exception:CODE
MEDIUM…ent_consistency_model/train_lcm_distill_sd_wds_lora.py142def __call__(self, x):CODE
LOWsrc/lmflow/pipeline/inferencer.py91 except Exception:CODE
MEDIUMsrc/lmflow/pipeline/inferencer.py92 print("Error in setting hidden size, use the default size 1024")CODE
LOWsrc/lmflow/pipeline/inferencer.py346 except Exception:STRING
MEDIUMsrc/lmflow/pipeline/inferencer.py347 print("Error in setting hidden size for draft model, use the default size 1024")STRING
LOWsrc/lmflow/pipeline/evaluator.py97 except Exception:CODE
MEDIUMsrc/lmflow/pipeline/evaluator.py98 print("Error in setting hidden size, use the default size 1024")CODE
LOWsrc/lmflow/pipeline/evaluator.py403 except Exception:CODE
LOWsrc/lmflow/pipeline/evaluator.py483 except Exception:CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py2274 except Exception as e:CODE
LOWsrc/lmflow/utils/data_utils.py263 except Exception:CODE
LOWsrc/lmflow/utils/versioning.py22 except Exception as e:CODE
LOWsrc/lmflow/models/hf_model_mixin.py418 except Exception:CODE
LOWsrc/lmflow/models/hf_model_mixin.py580 except Exception:CODE
LOWsrc/lmflow/tokenization/hf_text_regression_model.py186 except Exception:CODE
Over-Commented Block19 hits · 19 pts
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LOWexperimental/RAFT-diffusion/train_text_to_image_lora.py1# Copyright 2023 The HuggingFace Inc. team. All rights reserved.COMMENT
LOWexperimental/RAFT-diffusion/train_text_to_image_lora.py441 # It's important to realize here how many attention weights will be added and of which sizesCOMMENT
LOWexperimental/RAFT-diffusion/train_text_to_image_lora.py821 upload_folder(COMMENT
LOWexperimental/RAFT-diffusion/train_text_to_image_lora.py841 # for _ in range(args.num_validation_images):COMMENT
LOW…SA-diffusion/instruct_pix2pix/test_instruct_pix2pix.py1# Copyright 2024 HuggingFace Inc.COMMENT
LOW…fusion/instruct_pix2pix/train_instruct_pix2pix_lisa.py1#!/usr/bin/env pythonCOMMENT
LOW…al/LISA-diffusion/diffusion_dpo/train_diffusion_dpo.py1#!/usr/bin/env pythonCOMMENT
LOW…SA-diffusion/diffusion_dpo/train_diffusion_dpo_lisa.py1#!/usr/bin/env pythonCOMMENT
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lisa.py1#!/usr/bin/env pythonCOMMENT
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lora.py1#!/usr/bin/env pythonCOMMENT
LOWscripts/archive/convert_llama_weights_to_hf.py1# Copyright 2022 EleutherAI and The HuggingFace Inc. team. All rights reserved.COMMENT
LOWscripts/archive/bash.sh1#!/bin/bashCOMMENT
LOWscripts/multimodal/run_vis_chatbot_gradio_minigpt4.sh1#!/bin/bashCOMMENT
LOWsrc/lmflow/pipeline/finetuner.py181 # We drop the small remainder, we could add padding if the modelCOMMENT
LOWsrc/lmflow/utils/conversation_template/base.py301 # For models that require a separator between messages,COMMENT
LOWsrc/lmflow/utils/conversation_template/hymba.py1#!/usr/bin/env pythonCOMMENT
LOWsrc/lmflow/utils/conversation_template/hymba.py21# {% endif %}COMMENT
LOWsrc/lmflow/models/hf_text_regression_model.py341COMMENT
LOWsrc/lmflow/tokenization/__init__.py1#!/usr/bin/env pythonCOMMENT
Self-Referential Comments6 hits · 18 pts
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MEDIUM…fusion/instruct_pix2pix/train_instruct_pix2pix_lisa.py1054 # Create the pipeline using the trained modules and save it.COMMENT
MEDIUM…ent_consistency_model/train_lcm_distill_sd_wds_lisa.py1489 # Create the pipeline using using the trained modules and save it.COMMENT
MEDIUM…ent_consistency_model/train_lcm_distill_sd_wds_lora.py1440 # Create the pipeline using using the trained modules and save it.COMMENT
MEDIUMcontrib/rlhflow/reward_modeling.py108## Define the trainerCOMMENT
MEDIUMsrc/lmflow/datasets/dataset.py9# Importing necessary libraries and modulesCOMMENT
MEDIUMsrc/lmflow/utils/protocol.py610 # Create a slice objectCOMMENT
Structural Annotation Overuse8 hits · 17 pts
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LOW⚡docs/readme/multi_node.md9#### Step 1: Set up single-node configurationsCOMMENT
LOW⚡docs/readme/multi_node.md12#### Step 2: Prepare multi-node communication toolsCOMMENT
LOW⚡docs/readme/multi_node.md18#### Step 3: Set up `~/.bashrc`COMMENT
LOW⚡docs/readme/multi_node.md28#### Step 4: Establish SSH trust between serversCOMMENT
LOWdocs/readme/multi_node.md45### Step 5: Update `hostfile`COMMENT
LOW⚡docs/readme/multi_node.md65#### Step 6: Check firewallsCOMMENT
LOW⚡docs/readme/multi_node.md71#### Step 7: Running single-node training in each serverCOMMENT
LOW⚡docs/readme/multi_node.md75#### Step 8: Run the training scriptCOMMENT
AI Structural Patterns14 hits · 13 pts
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LOWsrc/lmflow/pipeline/inferencer.py420CODE
LOWsrc/lmflow/pipeline/inferencer.py626CODE
LOWsrc/lmflow/pipeline/raft_aligner.py257CODE
LOWsrc/lmflow/pipeline/raft_aligner.py390CODE
LOWsrc/lmflow/pipeline/finetuner.py190CODE
LOWsrc/lmflow/pipeline/utils/dpov2_trainer.py30CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py282CODE
LOWsrc/lmflow/pipeline/utils/raft_trainer.py3433CODE
LOWsrc/lmflow/optim/adabelief.py14CODE
LOWsrc/lmflow/optim/adamw_schedule_free.py27CODE
LOWsrc/lmflow/optim/sgdp.py20CODE
LOWsrc/lmflow/utils/protocol.py1022CODE
LOWsrc/lmflow/models/hf_decoder_model.py313CODE
LOWsrc/lmflow/models/vision2seq_model.py190CODE
Redundant / Tautological Comments8 hits · 12 pts
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LOWexamples/detail_memory.py11# Check if the model name is provided as a command-line argumentCOMMENT
LOWsrc/lmflow/pipeline/inferencer.py632 # Print the resultCOMMENT
LOWsrc/lmflow/pipeline/rm_tuner.py125 # Check if it's time to switch active layers, including at step 0COMMENT
LOWsrc/lmflow/pipeline/utils/lisa_trainer.py50 # Check if it's time to switch active layers, including at step 0COMMENT
LOWsrc/lmflow/pipeline/utils/raft_trainer.py2046 # Check if saved optimizer or scheduler states existCOMMENT
LOWsrc/lmflow/pipeline/utils/raft_trainer.py2869 # Check if we should delete older checkpoint(s)COMMENT
LOWsrc/lmflow/pipeline/utils/raft_trainer.py3145 # Set back to None to begin a new accumulationCOMMENT
LOWsrc/lmflow/pipeline/utils/raft_trainer.py3691 # Set back to None to begin a new accumulationCOMMENT
Slop Phrases7 hits · 10 pts
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LOW…fusion/instruct_pix2pix/train_instruct_pix2pix_lisa.py543 # make sure to pop weight so that corresponding model is not saved againCOMMENT
LOW…al/LISA-diffusion/diffusion_dpo/train_diffusion_dpo.py598 # make sure to pop weight so that corresponding model is not saved againCOMMENT
LOW…SA-diffusion/diffusion_dpo/train_diffusion_dpo_lisa.py617 # make sure to pop weight so that corresponding model is not saved againCOMMENT
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lisa.py1042 # make sure to pop weight so that corresponding model is not saved againCOMMENT
LOW…ent_consistency_model/train_lcm_distill_sd_wds_lora.py1048 # make sure to pop weight so that corresponding model is not saved againCOMMENT
LOWtests/pipeline/test_finetuner_distributed_loss.py23# python subprocess takes list of strings as command, don't forget to splitCOMMENT
LOWtests/pipeline/test_finetuner_distributed_loss.py23# python subprocess takes list of strings as command, don't forget to splitCOMMENT
Empty Error Handlers2 hits · 10 pts
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HIGHsrc/lmflow/pipeline/raft_aligner.py77except OSError:CODE
HIGHsrc/lmflow/models/hf_model_mixin.py580except Exception:CODE
Docstring Block Structure2 hits · 10 pts
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HIGHsrc/lmflow/pipeline/utils/raft_trainer.py3531 Upload *self.model* and *self.tokenizer* to the 🤗 model hub on the repo *self.args.hub_model_id*. ParamSTRING
HIGHsrc/lmflow/utils/protocol.py583 Slice the DataProto and return a new DataProto object. This is an improved version of direct slicing whSTRING
Cross-Language Confusion1 hit · 8 pts
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HIGH⚡examples/benchmarking.py132 os.system("cd data && ./download.sh common_sense_eval && cd -")CODE
Decorative Section Separators2 hits · 6 pts
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MEDIUMpyproject.toml5# -------------------------------COMMENT
MEDIUMpyproject.toml7# -------------------------------COMMENT
AI Slop Vocabulary3 hits · 4 pts
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LOWsrc/lmflow/pipeline/rm_inferencer.py219 # For tensor_parallel_size == 1, we simply set num_gpus=1.COMMENT
LOWsrc/lmflow/pipeline/utils/raft_trainer.py1807 # if loss is nan or inf simply add the average of previous logged lossesCOMMENT
LOWsrc/lmflow/pipeline/utils/raft_trainer.py2020 # print("I just create a optimizer here!") # calledCOMMENT
Modern AI Meta-Vocabulary1 hit · 3 pts
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MEDIUMsrc/lmflow/pipeline/evaluator.py480 # Gets context window lengthCOMMENT
Overly Generic Function Names1 hit · 0 pts
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LOWsrc/lmflow/utils/deprecated.py32 def my_function(inference_engine='huggingface', **kwargs):STRING