An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
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.
Use each vector to guide manual verification of the underlying findings.
Can maintainers explain intent, assumptions, and trade-offs? 278 finding(s).
Are imports declared and package/API names verified? 27 finding(s).
Are wrappers, guards, and repeated structures necessary? 228 finding(s).
Which changes need focused human review? 404 finding(s).
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.
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.
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.
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.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | …SA-diffusion/diffusion_dpo/train_diffusion_dpo_lisa.py | 0 | update target parameters to be closer to those of source parameters using an exponential moving average. :param target_p | STRING |
| HIGH | …ent_consistency_model/train_lcm_distill_sd_wds_lisa.py | 0 | update target parameters to be closer to those of source parameters using an exponential moving average. :param target_p | STRING |
| HIGH | …ent_consistency_model/train_lcm_distill_sd_wds_lora.py | 0 | update target parameters to be closer to those of source parameters using an exponential moving average. :param target_p | STRING |
| HIGH | tests/datasets/test_dataset.py | 0 | a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring sh | STRING |
| HIGH | tests/models/test_hf_decoder_model.py | 0 | a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring sh | STRING |
| HIGH | examples/evaluation.py | 0 | a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring sh | STRING |
| HIGH | examples/finetune_multi_modal.py | 0 | a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring sh | STRING |
| HIGH | examples/finetune.py | 0 | a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring sh | STRING |
| HIGH | examples/benchmarking.py | 0 | a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring sh | STRING |
| HIGH | src/lmflow/models/encoder_decoder_model.py | 0 | a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring sh | STRING |
| HIGH | src/lmflow/models/decoder_model.py | 0 | a one-line summary of the module or program, terminated by a period. leave one blank line. the rest of this docstring sh | STRING |
| HIGH | contrib/tool-finetune/function_call_finetune.py | 0 | tokenize the full dataset. parameters ------------ dataset : lmflow.datasets.dataset. args : optional. positional argume | STRING |
| HIGH | src/lmflow/models/hf_decoder_model.py | 0 | tokenize the full dataset. parameters ------------ dataset : lmflow.datasets.dataset. args : optional. positional argume | STRING |
| HIGH | src/lmflow/models/hf_text_regression_model.py | 0 | tokenize the full dataset. parameters ------------ dataset : lmflow.datasets.dataset. args : optional. positional argume | STRING |
| HIGH | examples/chatbot_gradio.py | 0 | a simple shell chatbot implemented with lmflow apis. | STRING |
| HIGH | examples/inference.py | 0 | a simple shell chatbot implemented with lmflow apis. | STRING |
| HIGH | examples/chatbot.py | 0 | a simple shell chatbot implemented with lmflow apis. | STRING |
| HIGH | src/lmflow/optim/lamb.py | 0 | performs a single optimization step. arguments: closure: a closure that reevaluates the model and returns the loss. | STRING |
| HIGH | src/lmflow/optim/lars.py | 0 | performs a single optimization step. arguments: closure: a closure that reevaluates the model and returns the loss. | STRING |
| HIGH | src/lmflow/optim/adamp.py | 0 | performs a single optimization step. arguments: closure: a closure that reevaluates the model and returns the loss. | STRING |
| HIGH | src/lmflow/optim/yogi.py | 0 | performs a single optimization step. arguments: closure: a closure that reevaluates the model and returns the loss. | STRING |
| HIGH | src/lmflow/optim/radam.py | 0 | performs a single optimization step. arguments: closure: a closure that reevaluates the model and returns the loss. | STRING |
| HIGH | src/lmflow/optim/adabound.py | 0 | performs a single optimization step. arguments: closure: a closure that reevaluates the model and returns the loss. | STRING |
| HIGH | src/lmflow/optim/sgdp.py | 0 | performs a single optimization step. arguments: closure: a closure that reevaluates the model and returns the loss. | STRING |
| HIGH | src/lmflow/optim/sgd_schedule_free.py | 0 | performs a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and return | STRING |
| HIGH | src/lmflow/optim/adamw_schedule_free.py | 0 | performs a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and return | STRING |
| HIGH | src/lmflow/optim/muon.py | 0 | performs a single optimization step. args: closure (callable, optional): a closure that reevaluates the model and return | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | …al/LISA-diffusion/diffusion_dpo/train_diffusion_dpo.py | 69 | def 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.py | 90 | def 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.py | 134 | def tarfile_to_samples_nothrow(src, handler=wds.warn_and_continue): | CODE |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lisa.py | 375 | def scalings_for_boundary_conditions(timestep, sigma_data=0.5, timestep_scaling=10.0): | CODE |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lisa.py | 383 | def get_predicted_original_sample(model_output, timesteps, sample, prediction_type, alphas, sigmas): | CODE |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lisa.py | 468 | def import_model_class_from_model_name_or_path( | CODE |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lora.py | 77 | def 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.py | 129 | def tarfile_to_samples_nothrow(src, handler=wds.warn_and_continue): | CODE |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lora.py | 356 | def scalings_for_boundary_conditions(timestep, sigma_data=0.5, timestep_scaling=10.0): | CODE |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lora.py | 364 | def get_predicted_original_sample(model_output, timesteps, sample, prediction_type, alphas, sigmas): | CODE |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lora.py | 448 | def import_model_class_from_model_name_or_path( | CODE |
| LOW | tests/pipeline/test_evaluator_messages.py | 9 | def test_nll_unsupported_dataset_message_includes_type(self): | CODE |
| LOW⚡ | tests/pipeline/test_auto_pipeline.py | 14 | def test_get_evaluator_pipeline(self): | CODE |
| LOW⚡ | tests/pipeline/test_auto_pipeline.py | 23 | def test_get_finetuner_pipeline(self): | CODE |
| LOW⚡ | tests/pipeline/test_auto_pipeline.py | 32 | def test_get_inferencer_pipeline(self): | CODE |
| LOW⚡ | tests/pipeline/test_auto_pipeline.py | 41 | def test_get_unsupported_pipeline(self): | CODE |
| LOW | tests/pipeline/test_sglang_infernecer.py | 22 | def sglang_test_inferencer_args() -> InferencerArguments: | CODE |
| LOW | tests/pipeline/test_memory_safe_vllm_inferencer.py | 66 | def test_inference_detokenize(self): | CODE |
| LOW | tests/pipeline/test_vllm_inferencer.py | 69 | def test_override_with_inference_args(self, model_args, inferencer_args): | CODE |
| LOW | tests/pipeline/test_vllm_inferencer.py | 131 | def test_creates_dataproto_with_repeat(self): | CODE |
| LOW | tests/pipeline/test_vllm_inferencer.py | 167 | def vllm_test_inferencer_args() -> InferencerArguments: | CODE |
| LOW | tests/pipeline/test_vllm_inferencer.py | 226 | def test_vllm_inferencer_save_load( | CODE |
| LOW | tests/datasets/conftest.py | 8 | def dataset_inference_conversation() -> Dataset: | CODE |
| LOW | tests/datasets/conftest.py | 17 | def dataset_inference_conversation_batch() -> Dataset: | CODE |
| LOW | tests/datasets/test_dataset.py | 56 | def test_create_from_dict_bad_type(self): | CODE |
| LOW⚡ | tests/utils/test_envs.py | 17 | def test_is_accelerate_env_false_without_prefix(self): | CODE |
| LOW⚡ | tests/utils/test_envs.py | 21 | def test_is_accelerate_env_true_with_prefix(self): | CODE |
| LOW⚡ | tests/utils/test_envs.py | 25 | def test_is_accelerate_env_false_when_accelerate_not_prefix(self): | CODE |
| LOW⚡ | tests/utils/test_envs.py | 31 | def test_get_device_name_cpu_when_cuda_unavailable(self, _mock_cuda: object): | CODE |
| LOW⚡ | tests/utils/test_envs.py | 35 | def test_get_device_name_cuda_when_cuda_available(self, _mock_cuda: object): | CODE |
| LOW⚡ | tests/utils/test_envs.py | 38 | def test_get_torch_device_matches_device_name(self): | CODE |
| LOW⚡ | tests/utils/test_envs.py | 48 | def test_get_torch_device_fallback_returns_cuda_on_attribute_error(self, _mock_name: object): | CODE |
| LOW⚡ | tests/utils/test_envs.py | 56 | def test_require_cuda_for_gpu_mode_raises_when_cuda_unavailable(self, _mock_cuda: object): | CODE |
| LOW⚡ | tests/utils/test_envs.py | 63 | def test_set_cuda_device_calls_torch_set_device(self, mock_set_device: object, _mock_cuda: object): | CODE |
| LOW⚡ | tests/utils/test_envs.py | 69 | def test_set_cuda_device_raises_without_cuda(self, mock_set_device: object, _mock_cuda: object): | CODE |
| LOW | tests/utils/test_conversation_template.py | 131 | def test_encode_conversation_singleturn(self): | CODE |
| LOW | tests/utils/test_conversation_template.py | 140 | def test_encode_conversation_multiturn(self): | CODE |
| LOW | tests/utils/test_conversation_template.py | 156 | def test_encode_conversation_singleturn(self): | CODE |
| LOW | tests/utils/test_conversation_template.py | 165 | def test_encode_conversation_multiturn(self): | CODE |
| LOW | tests/utils/test_conversation_formatter.py | 7 | def test_format_string_component(self): | CODE |
| LOW | tests/models/test_hf_decoder_model.py | 290 | def make_gt_from_conversation_ids(conversation_ids): | CODE |
| LOW | tests/models/test_hf_decoder_model.py | 303 | def make_gt_from_conversation_ids_batch(batched_conversation_ids): | CODE |
| LOW | tests/models/test_hf_decoder_model.py | 367 | def test_tokenize_text_only_multiple(self): | CODE |
| LOW | tests/models/test_hf_decoder_model.py | 411 | def test_tokenize_conversation(self): | CODE |
| LOW | tests/models/test_hf_decoder_model.py | 516 | def test_tokenize_conversation_multiple(self): | CODE |
| LOW | tests/models/test_auto_model.py | 24 | def test_get_text_regression_model(self): | STRING |
| LOW | tests/models/test_auto_model.py | 40 | def test_get_unsupported_model(self): | CODE |
| LOW | docs/source/conf.py | 67 | def _skip_internal_autoapi_modules(app, what, name, obj, skip, options): | CODE |
| LOW | contrib/tool-finetune/function_call_finetune.py | 158 | def conversation_tokenize_function( | CODE |
| LOW | examples/benchmarking.py | 115 | def is_lmflow_local_benchmarking(dataset_name): | CODE |
| LOW⚡ | examples/benchmarking.py | 142 | def is_lm_evaluation_benchmarking(dataset_name): | CODE |
| LOW⚡ | examples/benchmarking.py | 149 | def run_lmflow_local_benchmarking( | CODE |
| LOW | examples/benchmarking.py | 191 | def run_lm_evaluation_benchmarking(dataset_name, model_name): | CODE |
| LOW | scripts/archive/convert_llama_weights_to_hf.py | 59 | def compute_intermediate_size(n): | CODE |
| LOW | src/lmflow/pipeline/dpo_aligner.py | 57 | def return_prompt_and_responses(samples) -> dict[str, str]: | CODE |
| LOW | src/lmflow/pipeline/iterative_dpo_aligner.py | 120 | def _do_target_model_inference( | CODE |
| LOW | src/lmflow/pipeline/iterative_dpo_aligner.py | 145 | def _build_response_generator( | CODE |
| LOW | src/lmflow/pipeline/iterative_dpo_aligner.py | 168 | def _dataproto_to_text_to_textlist_instances(res: DataProto) -> list[dict]: | CODE |
| LOW | src/lmflow/pipeline/iterative_dpo_aligner.py | 185 | def _do_reward_model_inference( | CODE |
| LOW | src/lmflow/pipeline/iterative_dpo_aligner.py | 230 | def _parse_target_model_inference_args( | CODE |
| 55 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | experimental/RAFT-diffusion/train_text_to_image_lora.py | 361 | CODE | |
| LOW | …fusion/instruct_pix2pix/train_instruct_pix2pix_lisa.py | 404 | CODE | |
| LOW | …al/LISA-diffusion/diffusion_dpo/train_diffusion_dpo.py | 465 | CODE | |
| LOW | …SA-diffusion/diffusion_dpo/train_diffusion_dpo_lisa.py | 494 | CODE | |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lisa.py | 241 | CODE | |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lisa.py | 849 | CODE | |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lisa.py | 874 | CODE | |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lora.py | 236 | CODE | |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lora.py | 842 | CODE | |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lora.py | 867 | CODE | |
| LOW | contrib/langchain/retrieval_chatbot.py | 51 | CODE | |
| LOW | contrib/langchain/retrieval_chatbot.py | 85 | CODE | |
| LOW | contrib/text2image/diffuser_finetuner.py | 99 | CODE | |
| LOW | contrib/tool-finetune/function_call_finetune.py | 158 | CODE | |
| LOW | contrib/tool-finetune/function_call_finetune.py | 35 | CODE | |
| LOW | examples/vis_chatbot.py | 63 | CODE | |
| LOW | examples/chatbot.py | 42 | CODE | |
| LOW | examples/vis_chatbot_gradio.py | 155 | CODE | |
| LOW | examples/vis_chatbot_gradio.py | 214 | CODE | |
| LOW | examples/benchmarking.py | 115 | CODE | |
| LOW | scripts/archive/export_llama_state_dict_checkpoint.py | 19 | CODE | |
| LOW | src/lmflow/pipeline/inferencer.py | 128 | CODE | |
| LOW | src/lmflow/pipeline/dpov2_aligner.py | 228 | CODE | |
| LOW | src/lmflow/pipeline/dpov2_aligner.py | 250 | CODE | |
| LOW | src/lmflow/pipeline/evaluator.py | 179 | CODE | |
| LOW | src/lmflow/pipeline/evaluator.py | 287 | CODE | |
| LOW | src/lmflow/pipeline/evaluator.py | 440 | CODE | |
| LOW | src/lmflow/pipeline/utils/dpov2_dataprocessor.py | 133 | CODE | |
| LOW | src/lmflow/pipeline/utils/dpov2_trainer.py | 102 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 282 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 865 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 1003 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 1059 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 1180 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 1266 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 1327 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 1613 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 2053 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 2073 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 2131 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 2282 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 2391 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 2561 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 2714 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 3270 | CODE | |
| LOW | src/lmflow/datasets/multi_modal_dataset.py | 94 | CODE | |
| LOW | src/lmflow/datasets/multi_modal_dataset.py | 44 | CODE | |
| LOW | src/lmflow/datasets/dataset.py | 72 | CODE | |
| LOW | src/lmflow/datasets/dataset.py | 150 | CODE | |
| LOW | src/lmflow/optim/adan.py | 75 | CODE | |
| LOW | src/lmflow/optim/lars.py | 85 | CODE | |
| LOW | src/lmflow/optim/sgd_schedule_free.py | 61 | CODE | |
| LOW | src/lmflow/optim/sgd_schedule_free.py | 73 | CODE | |
| LOW | src/lmflow/optim/sgd_schedule_free.py | 85 | CODE | |
| LOW | src/lmflow/optim/adabelief.py | 88 | CODE | |
| LOW | src/lmflow/optim/novograd.py | 31 | CODE | |
| LOW | src/lmflow/optim/utils.py | 10 | CODE | |
| LOW | src/lmflow/optim/utils.py | 13 | CODE | |
| LOW | src/lmflow/optim/radam.py | 65 | CODE | |
| LOW | src/lmflow/optim/adamw_schedule_free.py | 58 | CODE | |
| 34 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | tests/pipeline/test_memory_safe_vllm_inferencer.py | 16 | logger = logging.getLogger(__name__) | CODE |
| LOW | contrib/text2image/t2i_dataset.py | 15 | logger = logging.getLogger(__name__) | CODE |
| LOW | contrib/text2image/diffuser_finetuner.py | 28 | logger = logging.getLogger(__name__) | CODE |
| LOW | contrib/tool-finetune/function_call_finetune.py | 31 | logger = logging.getLogger(__name__) | CODE |
| LOW | examples/iterative_dpo_train.py | 19 | logger = logging.getLogger(__name__) | CODE |
| LOW | examples/dpov2_train.py | 20 | logger = logging.getLogger(__name__) | CODE |
| LOW | examples/multistage_finetune.py | 33 | logger = logging.getLogger(__name__) | CODE |
| LOW | examples/reward_modeling.py | 20 | logger = logging.getLogger(__name__) | CODE |
| LOW | examples/sglang_inference.py | 18 | logger = logging.getLogger(__name__) | CODE |
| LOW | examples/vllm_inference.py | 18 | logger = logging.getLogger(__name__) | CODE |
| LOW | examples/rm_inference.py | 18 | logger = logging.getLogger(__name__) | CODE |
| LOW | examples/benchmarking.py | 32 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/__init__.py | 21 | __all__ = ["args", "datasets", "models", "pipeline", "utils"] | CODE |
| LOW | src/lmflow/args.py | 31 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/pipeline/iterative_dpo_aligner.py | 26 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/pipeline/sglang_inferencer.py | 20 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/pipeline/vllm_inferencer.py | 28 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/pipeline/inferencer.py | 42 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/pipeline/raft_aligner.py | 31 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/pipeline/rm_inferencer.py | 38 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/pipeline/rm_tuner.py | 13 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/pipeline/dpov2_aligner.py | 22 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/pipeline/finetuner.py | 37 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/pipeline/utils/dpov2_dataprocessor.py | 12 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/pipeline/utils/rm_dataprocessor.py | 8 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/pipeline/utils/dpov2_trainer.py | 26 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/pipeline/utils/memory_safe_dpov2_align.py | 18 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/pipeline/utils/memory_safe_vllm_inference.py | 24 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/datasets/dataset.py | 33 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/optim/__init__.py | 3 | __all__ = ["create_customized_optimizer"] | CODE |
| LOW | src/lmflow/utils/envs.py | 11 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/utils/envs.py | 13 | __all__ = [ | CODE |
| LOW | src/lmflow/utils/envs.py | 37 | def set_cuda_device(local_rank: int) -> None: | CODE |
| LOW | src/lmflow/utils/protocol.py | 26 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/utils/deprecated.py | 10 | __all__ = ["deprecated_args"] | CODE |
| LOW | src/lmflow/utils/model.py | 9 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/utils/common.py | 10 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/utils/versioning.py | 10 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/utils/conversation_template/__init__.py | 28 | __all__ = [ | CODE |
| LOW | src/lmflow/utils/conversation_template/__init__.py | 33 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/utils/conversation_template/llama.py | 13 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/utils/conversation_template/zephyr.py | 11 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/utils/conversation_template/gemma.py | 8 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/utils/conversation_template/base.py | 14 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/models/hf_decoder_model.py | 45 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/models/hf_text_regression_model.py | 42 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/models/hf_model_mixin.py | 30 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/models/vision_encoder/__init__.py | 3 | __all__ = ["build_vision_tower"] | CODE |
| LOW | src/lmflow/tokenization/hf_decoder_model.py | 15 | logger = logging.getLogger(__name__) | CODE |
| LOW | src/lmflow/tokenization/hf_text_regression_model.py | 15 | logger = logging.getLogger(__name__) | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | tests/models/test_hf_decoder_model.py | 15 | CODE | |
| LOW | tests/models/test_hf_decoder_model.py | 20 | CODE | |
| LOW | tests/models/test_hf_decoder_model.py | 27 | CODE | |
| LOW | tests/models/test_hf_decoder_model.py | 27 | CODE | |
| LOW | tests/models/test_hf_decoder_model.py | 31 | CODE | |
| LOW | src/lmflow/__init__.py | 8 | CODE | |
| LOW | src/lmflow/__init__.py | 8 | CODE | |
| LOW | src/lmflow/__init__.py | 8 | CODE | |
| LOW | src/lmflow/__init__.py | 8 | CODE | |
| LOW | src/lmflow/__init__.py | 8 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 23 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 23 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 23 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 23 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 280 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 280 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 280 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 280 | CODE | |
| LOW | src/lmflow/datasets/__init__.py | 8 | CODE | |
| LOW | src/lmflow/datasets/__init__.py | 12 | CODE | |
| LOW | src/lmflow/optim/__init__.py | 1 | CODE | |
| LOW | src/lmflow/utils/test_utils.py | 4 | CODE | |
| LOW | src/lmflow/utils/conversation_template/__init__.py | 7 | CODE | |
| LOW | src/lmflow/utils/conversation_template/__init__.py | 7 | CODE | |
| LOW | src/lmflow/models/hf_text_regression_model.py | 39 | CODE | |
| LOW | src/lmflow/models/vision_encoder/__init__.py | 1 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lisa.py | 158 | except Exception: | CODE |
| MEDIUM | …ent_consistency_model/train_lcm_distill_sd_wds_lisa.py | 147 | def __call__(self, x): | CODE |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lora.py | 153 | except Exception: | CODE |
| MEDIUM | …ent_consistency_model/train_lcm_distill_sd_wds_lora.py | 142 | def __call__(self, x): | CODE |
| LOW | src/lmflow/pipeline/inferencer.py | 91 | except Exception: | CODE |
| MEDIUM | src/lmflow/pipeline/inferencer.py | 92 | print("Error in setting hidden size, use the default size 1024") | CODE |
| LOW | src/lmflow/pipeline/inferencer.py | 346 | except Exception: | STRING |
| MEDIUM | src/lmflow/pipeline/inferencer.py | 347 | print("Error in setting hidden size for draft model, use the default size 1024") | STRING |
| LOW | src/lmflow/pipeline/evaluator.py | 97 | except Exception: | CODE |
| MEDIUM | src/lmflow/pipeline/evaluator.py | 98 | print("Error in setting hidden size, use the default size 1024") | CODE |
| LOW | src/lmflow/pipeline/evaluator.py | 403 | except Exception: | CODE |
| LOW | src/lmflow/pipeline/evaluator.py | 483 | except Exception: | CODE |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 2274 | except Exception as e: | CODE |
| LOW | src/lmflow/utils/data_utils.py | 263 | except Exception: | CODE |
| LOW | src/lmflow/utils/versioning.py | 22 | except Exception as e: | CODE |
| LOW | src/lmflow/models/hf_model_mixin.py | 418 | except Exception: | CODE |
| LOW | src/lmflow/models/hf_model_mixin.py | 580 | except Exception: | CODE |
| LOW | src/lmflow/tokenization/hf_text_regression_model.py | 186 | except Exception: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | experimental/RAFT-diffusion/train_text_to_image_lora.py | 1 | # Copyright 2023 The HuggingFace Inc. team. All rights reserved. | COMMENT |
| LOW | experimental/RAFT-diffusion/train_text_to_image_lora.py | 441 | # It's important to realize here how many attention weights will be added and of which sizes | COMMENT |
| LOW | experimental/RAFT-diffusion/train_text_to_image_lora.py | 821 | upload_folder( | COMMENT |
| LOW | experimental/RAFT-diffusion/train_text_to_image_lora.py | 841 | # for _ in range(args.num_validation_images): | COMMENT |
| LOW | …SA-diffusion/instruct_pix2pix/test_instruct_pix2pix.py | 1 | # Copyright 2024 HuggingFace Inc. | COMMENT |
| LOW | …fusion/instruct_pix2pix/train_instruct_pix2pix_lisa.py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | …al/LISA-diffusion/diffusion_dpo/train_diffusion_dpo.py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | …SA-diffusion/diffusion_dpo/train_diffusion_dpo_lisa.py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lisa.py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lora.py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | scripts/archive/convert_llama_weights_to_hf.py | 1 | # Copyright 2022 EleutherAI and The HuggingFace Inc. team. All rights reserved. | COMMENT |
| LOW | scripts/archive/bash.sh | 1 | #!/bin/bash | COMMENT |
| LOW | scripts/multimodal/run_vis_chatbot_gradio_minigpt4.sh | 1 | #!/bin/bash | COMMENT |
| LOW | src/lmflow/pipeline/finetuner.py | 181 | # We drop the small remainder, we could add padding if the model | COMMENT |
| LOW | src/lmflow/utils/conversation_template/base.py | 301 | # For models that require a separator between messages, | COMMENT |
| LOW | src/lmflow/utils/conversation_template/hymba.py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | src/lmflow/utils/conversation_template/hymba.py | 21 | # {% endif %} | COMMENT |
| LOW | src/lmflow/models/hf_text_regression_model.py | 341 | COMMENT | |
| LOW | src/lmflow/tokenization/__init__.py | 1 | #!/usr/bin/env python | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | …fusion/instruct_pix2pix/train_instruct_pix2pix_lisa.py | 1054 | # Create the pipeline using the trained modules and save it. | COMMENT |
| MEDIUM | …ent_consistency_model/train_lcm_distill_sd_wds_lisa.py | 1489 | # Create the pipeline using using the trained modules and save it. | COMMENT |
| MEDIUM | …ent_consistency_model/train_lcm_distill_sd_wds_lora.py | 1440 | # Create the pipeline using using the trained modules and save it. | COMMENT |
| MEDIUM | contrib/rlhflow/reward_modeling.py | 108 | ## Define the trainer | COMMENT |
| MEDIUM | src/lmflow/datasets/dataset.py | 9 | # Importing necessary libraries and modules | COMMENT |
| MEDIUM | src/lmflow/utils/protocol.py | 610 | # Create a slice object | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | docs/readme/multi_node.md | 9 | #### Step 1: Set up single-node configurations | COMMENT |
| LOW⚡ | docs/readme/multi_node.md | 12 | #### Step 2: Prepare multi-node communication tools | COMMENT |
| LOW⚡ | docs/readme/multi_node.md | 18 | #### Step 3: Set up `~/.bashrc` | COMMENT |
| LOW⚡ | docs/readme/multi_node.md | 28 | #### Step 4: Establish SSH trust between servers | COMMENT |
| LOW | docs/readme/multi_node.md | 45 | ### Step 5: Update `hostfile` | COMMENT |
| LOW⚡ | docs/readme/multi_node.md | 65 | #### Step 6: Check firewalls | COMMENT |
| LOW⚡ | docs/readme/multi_node.md | 71 | #### Step 7: Running single-node training in each server | COMMENT |
| LOW⚡ | docs/readme/multi_node.md | 75 | #### Step 8: Run the training script | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | src/lmflow/pipeline/inferencer.py | 420 | CODE | |
| LOW | src/lmflow/pipeline/inferencer.py | 626 | CODE | |
| LOW | src/lmflow/pipeline/raft_aligner.py | 257 | CODE | |
| LOW | src/lmflow/pipeline/raft_aligner.py | 390 | CODE | |
| LOW | src/lmflow/pipeline/finetuner.py | 190 | CODE | |
| LOW | src/lmflow/pipeline/utils/dpov2_trainer.py | 30 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 282 | CODE | |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 3433 | CODE | |
| LOW | src/lmflow/optim/adabelief.py | 14 | CODE | |
| LOW | src/lmflow/optim/adamw_schedule_free.py | 27 | CODE | |
| LOW | src/lmflow/optim/sgdp.py | 20 | CODE | |
| LOW | src/lmflow/utils/protocol.py | 1022 | CODE | |
| LOW | src/lmflow/models/hf_decoder_model.py | 313 | CODE | |
| LOW | src/lmflow/models/vision2seq_model.py | 190 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | examples/detail_memory.py | 11 | # Check if the model name is provided as a command-line argument | COMMENT |
| LOW | src/lmflow/pipeline/inferencer.py | 632 | # Print the result | COMMENT |
| LOW | src/lmflow/pipeline/rm_tuner.py | 125 | # Check if it's time to switch active layers, including at step 0 | COMMENT |
| LOW | src/lmflow/pipeline/utils/lisa_trainer.py | 50 | # Check if it's time to switch active layers, including at step 0 | COMMENT |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 2046 | # Check if saved optimizer or scheduler states exist | COMMENT |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 2869 | # Check if we should delete older checkpoint(s) | COMMENT |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 3145 | # Set back to None to begin a new accumulation | COMMENT |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 3691 | # Set back to None to begin a new accumulation | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | …fusion/instruct_pix2pix/train_instruct_pix2pix_lisa.py | 543 | # make sure to pop weight so that corresponding model is not saved again | COMMENT |
| LOW | …al/LISA-diffusion/diffusion_dpo/train_diffusion_dpo.py | 598 | # make sure to pop weight so that corresponding model is not saved again | COMMENT |
| LOW | …SA-diffusion/diffusion_dpo/train_diffusion_dpo_lisa.py | 617 | # make sure to pop weight so that corresponding model is not saved again | COMMENT |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lisa.py | 1042 | # make sure to pop weight so that corresponding model is not saved again | COMMENT |
| LOW | …ent_consistency_model/train_lcm_distill_sd_wds_lora.py | 1048 | # make sure to pop weight so that corresponding model is not saved again | COMMENT |
| LOW | tests/pipeline/test_finetuner_distributed_loss.py | 23 | # python subprocess takes list of strings as command, don't forget to split | COMMENT |
| LOW | tests/pipeline/test_finetuner_distributed_loss.py | 23 | # python subprocess takes list of strings as command, don't forget to split | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | src/lmflow/pipeline/raft_aligner.py | 77 | except OSError: | CODE |
| HIGH | src/lmflow/models/hf_model_mixin.py | 580 | except Exception: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | src/lmflow/pipeline/utils/raft_trainer.py | 3531 | Upload *self.model* and *self.tokenizer* to the 🤗 model hub on the repo *self.args.hub_model_id*. Param | STRING |
| HIGH | src/lmflow/utils/protocol.py | 583 | Slice the DataProto and return a new DataProto object. This is an improved version of direct slicing wh | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH⚡ | examples/benchmarking.py | 132 | os.system("cd data && ./download.sh common_sense_eval && cd -") | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | pyproject.toml | 5 | # ------------------------------- | COMMENT |
| MEDIUM | pyproject.toml | 7 | # ------------------------------- | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | src/lmflow/pipeline/rm_inferencer.py | 219 | # For tensor_parallel_size == 1, we simply set num_gpus=1. | COMMENT |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 1807 | # if loss is nan or inf simply add the average of previous logged losses | COMMENT |
| LOW | src/lmflow/pipeline/utils/raft_trainer.py | 2020 | # print("I just create a optimizer here!") # called | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | src/lmflow/pipeline/evaluator.py | 480 | # Gets context window length | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | src/lmflow/utils/deprecated.py | 32 | def my_function(inference_engine='huggingface', **kwargs): | STRING |