NVlabs/LongLive

Pattern Findings

418 matches across 12 categories. Click a row to expand file-level details.

Hyper-Verbose Identifiers112 hits · 108 pts

Severity	File	Line	Snippet
LOW	inference_sp.py	99	def _expected_inference_samples(config):
LOW	inference_sp.py	166	def materialize_quantized_generator(model, device, materialize_fn, stage_desc, is_main_process):
LOW	inference_sp.py	176	def configure_generator_torch_compile(pipeline, config, is_main_process):
LOW	inference.py	140	def _expected_inference_samples(config):
LOW	inference.py	215	def materialize_quantized_generator(model, device, materialize_fn, stage_desc):
LOW	inference.py	229	def configure_generator_torch_compile(pipeline, config):
LOW	pipeline/causal_diffusion_inference.py	954	def _set_all_modules_sink_size(self, sink_size_value: int):
LOW	pipeline/causal_diffusion_inference.py	968	def _set_all_modules_global_sink_size(self, value: int):
LOW	pipeline/causal_diffusion_inference.py	861	def _initialize_crossattn_cache(self, batch_size, dtype, device):
LOW	pipeline/causal_diffusion_inference.py	895	def _initialize_sample_scheduler(self, noise):
LOW	pipeline/causal_diffusion_inference.py	918	def _set_all_modules_max_attention_size(self, local_attn_size_value: int):
LOW	pipeline/causal_diffusion_inference.py	1001	def _update_sink_for_scene_cut(self, kv_cache, current_num_frames):
LOW	pipeline/self_forcing_training.py	372	def _set_all_modules_sink_size(self, sink_size_value: int):
LOW	pipeline/self_forcing_training.py	384	def _set_all_modules_global_sink_size(self, value: int):
LOW	pipeline/self_forcing_training.py	82	def _build_default_denoising_step_list(self, sampling_steps):
LOW	pipeline/self_forcing_training.py	111	def generate_chunk_with_cache(
LOW	pipeline/self_forcing_training.py	288	def inference_with_trajectory(
LOW	pipeline/self_forcing_training.py	409	def _inference_with_trajectory_inner(
LOW	pipeline/self_forcing_training.py	698	def _initialize_crossattn_cache(self, batch_size, dtype, device):
LOW	pipeline/self_forcing_training.py	744	def _set_all_modules_max_attention_size(self, local_attn_size_value: int):
LOW	fouroversix/setup.py	32	def get_cuda_bare_metal_version() -> Version \| None:
LOW	fouroversix/tests/test_correctness.py	52	def test_backend_outputs_are_consistent( # noqa: C901, PLR0915
LOW	fouroversix/scripts/resources.py	52	def has_untracked_or_unstaged_changes(self) -> bool:
LOW	fouroversix/scripts/resources.py	150	def install_fouroversix_non_editable() -> None:
LOW	fouroversix/scripts/ptq/evaluators/smoothquant.py	196	def get_calibration_experiments(
LOW	fouroversix/src/fouroversix/quantize/utils.py	14	def get_no_random_sign_vector(device: int) -> torch.Tensor:
LOW	fouroversix/src/fouroversix/model/quantize.py	35	def should_replace_existing_modules_in_model(
LOW	fouroversix/src/fouroversix/model/modules/linear.py	271	def _serialize_quantized_weight(
LOW	fouroversix/src/fouroversix/model/modules/linear.py	322	def quantized_weight_transposed(self) -> QuantizedTensor \| None:
LOW	tests/test_i2v_teacher_forcing_context.py	96	def _load_causal_diffusion_with_stubs():
LOW	utils/memory.py	61	def fake_diffusers_current_device(model: torch.nn.Module, target_device: torch.device):
LOW	utils/memory.py	96	def move_model_to_device_with_memory_preservation(model, target_device, preserved_memory_gb=0):
LOW	utils/memory.py	112	def offload_model_from_device_for_memory_preservation(model, target_device, preserved_memory_gb=0):
LOW	utils/torch_compile_utils.py	86	def configure_module_call_torch_compile(
LOW	utils/dataset.py	200	def _load_captions_from_folder(self, folder: Path):
LOW	utils/dataset.py	422	def _get_video_files_in_folder(self, folder_path):
LOW	utils/dataset.py	451	def _check_folder_has_enough_frames(self, folder_path):
LOW	utils/dataset.py	533	def _can_sample_from_position(self, total_frames, original_fps, num_frames, start_frame):
LOW	utils/dataset.py	552	def _can_complete_all_segments_without_wrap(self, video_files, start_video_idx, start_frame):
LOW	utils/dataset.py	629	def _sample_frames_from_video(self, video_path, num_frames, start_frame=0):
LOW	utils/dataset.py	696	def _sample_frames_from_video_ffmpeg(self, video_path, num_frames, start_frame=0):
LOW	utils/dataset.py	750	def _try_get_item_from_folder(self, folder_idx, deterministic: bool = False):
LOW	utils/lightvae_5b_wrapper.py	18	def _extract_checkpoint_state_dict(raw):
LOW	utils/lightvae_5b_wrapper.py	31	def _map_lightvae_key_to_wanvae(key):
LOW	utils/lightvae_5b_wrapper.py	106	def _normalize_vae_state_dict(raw_state):
LOW	utils/lightvae_5b_wrapper.py	117	def infer_lightvae_pruning_rate_from_ckpt(vae_path, full_decoder_conv1_out=1024):
LOW	utils/position_embedding_utils.py	15	def select_temporal_offset_for_sample(
LOW	utils/rope_triton.py	84	def _split_complex_to_cos_sin(freqs_complex: torch.Tensor) -> tuple[torch.Tensor, torch.Tensor]:
LOW	utils/nvfp4_checkpoint.py	38	def unwrap_generator_state_dict(checkpoint: object, use_ema: bool = False) -> object:
LOW	utils/nvfp4_checkpoint.py	50	def clean_fsdp_state_dict_keys(state_dict: Mapping[str, torch.Tensor]) -> dict[str, torch.Tensor]:
LOW	utils/nvfp4_checkpoint.py	55	def build_model_quantization_config(config, keep_master_weights: bool = False):
LOW	utils/nvfp4_checkpoint.py	134	def drop_fouroversix_master_weights(model: nn.Module) -> list[str]:
LOW	utils/wan_5b_wrapper.py	316	def enable_gradient_checkpointing(self) -> None:
LOW	utils/quant.py	90	def _resolve_modules_to_not_convert(
LOW	utils/quant.py	119	def _get_default_filtered_modules(filter_profile: str \| None) -> list[str]:
LOW	utils/quant.py	137	def _warn_for_te_config_mismatch(model_quant_config: ModelQuantizationConfig) -> None:
LOW	utils/quant.py	273	def _copy_tensor_into_parameter(
LOW	utils/quant.py	350	def quantize_model_with_optional_te(
LOW	utils/quant.py	425	def _materialize_transformer_engine_weights_for_inference(
LOW	utils/quant.py	450	def _materialize_mixed_quantized_weights_for_inference(
52 more matches not shown…

Unused Imports105 hits · 104 pts

Severity	File	Line
LOW	pipeline/__init__.py	1
LOW	pipeline/__init__.py	2
LOW	pipeline/self_forcing_training.py	12
LOW	fouroversix/scripts/generate_kernels.py	1
LOW	fouroversix/scripts/resources.py	1
LOW	fouroversix/scripts/test_on_modal.py	1
LOW	fouroversix/scripts/speedtest/matmul.py	1
LOW	fouroversix/scripts/speedtest/quantize.py	1
LOW	fouroversix/scripts/ptq/utils.py	1
LOW	fouroversix/scripts/ptq/coordinators/__init__.py	1
LOW	fouroversix/scripts/ptq/coordinators/__init__.py	2
LOW	fouroversix/scripts/ptq/evaluators/rtn.py	1
LOW	fouroversix/scripts/ptq/evaluators/spinquant.py	1
LOW	fouroversix/scripts/ptq/evaluators/__init__.py	1
LOW	fouroversix/scripts/ptq/evaluators/awq.py	1
LOW	fouroversix/scripts/ptq/evaluators/smoothquant.py	1
LOW	fouroversix/scripts/ptq/evaluators/evaluator.py	1
LOW	fouroversix/scripts/train/__main__.py	1
LOW	fouroversix/src/fouroversix/__init__.py	3
LOW	fouroversix/src/fouroversix/__init__.py	4
LOW	fouroversix/src/fouroversix/__init__.py	4
LOW	fouroversix/src/fouroversix/__init__.py	4
LOW	fouroversix/src/fouroversix/__init__.py	4
LOW	fouroversix/src/fouroversix/__init__.py	4
LOW	fouroversix/src/fouroversix/__init__.py	11
LOW	fouroversix/src/fouroversix/__init__.py	11
LOW	fouroversix/src/fouroversix/__init__.py	11
LOW	fouroversix/src/fouroversix/__init__.py	12
LOW	fouroversix/src/fouroversix/__init__.py	12
LOW	fouroversix/src/fouroversix/__init__.py	12
LOW	fouroversix/src/fouroversix/__init__.py	12
LOW	fouroversix/src/fouroversix/__init__.py	12
LOW	fouroversix/src/fouroversix/__init__.py	13
LOW	fouroversix/src/fouroversix/quantize/__init__.py	1
LOW	fouroversix/src/fouroversix/quantize/__init__.py	2
LOW	fouroversix/src/fouroversix/quantize/__init__.py	3
LOW	fouroversix/src/fouroversix/quantize/__init__.py	4
LOW	…oversix/src/fouroversix/quantize/transformer_engine.py	33
LOW	fouroversix/src/fouroversix/quantize/cuda/backend.py	29
LOW	fouroversix/src/fouroversix/quantize/cuda/__init__.py	1
LOW	fouroversix/src/fouroversix/quantize/triton/kernel.py	1
LOW	fouroversix/src/fouroversix/quantize/triton/__init__.py	1
LOW	…uroversix/src/fouroversix/quantize/pytorch/__init__.py	1
LOW	…roversix/src/fouroversix/quantize/pytorch/reference.py	1
LOW	fouroversix/src/fouroversix/model/quantize.py	1
LOW	fouroversix/src/fouroversix/model/__init__.py	1
LOW	fouroversix/src/fouroversix/model/__init__.py	1
LOW	fouroversix/src/fouroversix/model/__init__.py	2
LOW	fouroversix/src/fouroversix/model/__init__.py	3
LOW	fouroversix/src/fouroversix/model/__init__.py	3
LOW	fouroversix/src/fouroversix/model/modules/__init__.py	1
LOW	fouroversix/src/fouroversix/model/modules/__init__.py	2
LOW	fouroversix/src/fouroversix/matmul/__init__.py	1
LOW	fouroversix/src/fouroversix/matmul/cutlass/backend.py	27
LOW	fouroversix/src/fouroversix/matmul/cutlass/__init__.py	1
LOW	utils/dataset.py	9
LOW	utils/dataset.py	10
LOW	utils/dataset.py	15
LOW	utils/rope_triton.py	17
LOW	utils/nvfp4_checkpoint.py	10
45 more matches not shown…

Cross-File Repetition19 hits · 95 pts

Severity	File	Snippet
HIGH	fouroversix/scripts/ptq/coordinators/local.py	run any tasks that should be used to calibrate models for a given ptq method and set of parameters before running evalua
HIGH	fouroversix/scripts/ptq/coordinators/modal.py	run any tasks that should be used to calibrate models for a given ptq method and set of parameters before running evalua
HIGH	fouroversix/scripts/ptq/coordinators/base.py	run any tasks that should be used to calibrate models for a given ptq method and set of parameters before running evalua
HIGH	fouroversix/src/fouroversix/model/modules/linear.py	return high precision parameters to be quantized and deleted.
HIGH	fouroversix/src/fouroversix/model/modules/qwen.py	return high precision parameters to be quantized and deleted.
HIGH	fouroversix/src/fouroversix/model/modules/gpt_oss.py	return high precision parameters to be quantized and deleted.
HIGH	fouroversix/src/fouroversix/model/modules/gpt_oss.py	return high precision parameters to be quantized and deleted.
HIGH	fouroversix/src/fouroversix/model/modules/linear_ori.py	return high precision parameters to be quantized and deleted.
HIGH	fouroversix/src/fouroversix/model/modules/linear.py	get the size of a single element, in bytes, for a parameter.
HIGH	fouroversix/src/fouroversix/model/modules/qwen.py	get the size of a single element, in bytes, for a parameter.
HIGH	fouroversix/src/fouroversix/model/modules/gpt_oss.py	get the size of a single element, in bytes, for a parameter.
HIGH	fouroversix/src/fouroversix/model/modules/linear_ori.py	get the size of a single element, in bytes, for a parameter.
HIGH	fouroversix/src/fouroversix/model/modules/linear.py	prepare this layer for post-training quantization by quantizing the weight, storing the quantized weight, and deleting t
HIGH	fouroversix/src/fouroversix/model/modules/qwen.py	prepare this layer for post-training quantization by quantizing the weight, storing the quantized weight, and deleting t
HIGH	fouroversix/src/fouroversix/model/modules/gpt_oss.py	prepare this layer for post-training quantization by quantizing the weight, storing the quantized weight, and deleting t
HIGH	fouroversix/src/fouroversix/model/modules/linear_ori.py	prepare this layer for post-training quantization by quantizing the weight, storing the quantized weight, and deleting t
HIGH	wan_5b/textimage2video.py	configures a model object. this includes setting evaluation modes, applying distributed parallel strategy, and handling
HIGH	wan_5b/text2video.py	configures a model object. this includes setting evaluation modes, applying distributed parallel strategy, and handling
HIGH	wan_5b/image2video.py	configures a model object. this includes setting evaluation modes, applying distributed parallel strategy, and handling

Verbosity Indicators43 hits · 64 pts

Severity	File	Line	Snippet
LOW	pipeline/causal_diffusion_inference.py	39	# Step 1: Initialize all models
LOW	pipeline/causal_diffusion_inference.py	67	# Step 2: Initialize scheduler
LOW	pipeline/causal_diffusion_inference.py	232	# Step 1: Initialize KV cache to all zeros
LOW	pipeline/causal_diffusion_inference.py	266	# Step 2: Cache context feature
LOW	pipeline/causal_diffusion_inference.py	437	# Step 3: Temporal denoising loop
LOW	pipeline/causal_diffusion_inference.py	741	# Step 4: Decode the output
LOW	pipeline/self_forcing_training.py	446	# Step 1: Initialize KV cache to all zeros
LOW	pipeline/self_forcing_training.py	468	# Step 2: Cache context feature
LOW	pipeline/self_forcing_training.py	486	# Step 3: Temporal denoising loop
LOW	utils/dataset.py	545	# We need to check if we can get num_frames frames
LOW	model/diffusion.py	30	# Step 2: Initialize all hyperparameters
LOW	model/diffusion.py	171	# Step 2: Randomly sample a timestep and add noise to denoiser inputs
LOW	model/diffusion.py	258	# Step 3: Noise augmentation, also add small noise to clean context latents
LOW	model/diffusion.py	331	# Step 5: Store prediction errors into error buffer.
LOW	model/dmd.py	47	# Step 2: Initialize all dmd hyperparameters
LOW	model/dmd.py	98	# Step 1: Compute the fake score
LOW	model/dmd.py	119	# Step 2: Compute the real score
LOW	model/dmd.py	138	# Step 3: Compute the DMD gradient (DMD paper eq. 7).
LOW	model/dmd.py	213	# Step 1: Randomly sample timestep based on the given schedule and corresponding noise
LOW	model/dmd.py	245	# Step 2: Compute the KL grad
LOW	model/dmd.py	289	# Step 1: Unroll generator to obtain fake videos
LOW	model/dmd.py	305	# Step 2: Compute the DMD loss
LOW	model/dmd.py	366	# Step 1: Run generator on backward simulated noisy input
LOW	model/dmd.py	408	# Step 2: Compute the fake prediction
LOW	model/dmd.py	446	# Step 3: Compute the denoising loss for the fake critic
LOW	model/dmd.py	483	# Step 5: Debugging Log
LOW	trainer/diffusion.py	60	# Step 1: Initialize the distributed training environment (rank, seed, dtype, logging etc.)
LOW	trainer/diffusion.py	152	# Step 2: Initialize the model and optimizer
LOW	trainer/diffusion.py	333	# Step 3: Initialize the dataloader
LOW	trainer/diffusion.py	736	# Step 1: Get the next batch of text prompts
LOW	trainer/diffusion.py	759	# Step 2: Extract the conditional infos
LOW	trainer/diffusion.py	792	# Step 3: Train the generator
LOW	trainer/diffusion.py	821	# Step 4: Update EMA (if enabled and after start step)
LOW	trainer/diffusion.py	856	# Step 5: Logging
LOW	trainer/distillation.py	41	# Step 1: Initialize the distributed training environment (rank, seed, dtype, logging etc.)
LOW	trainer/distillation.py	79	# Step 2: Initialize the model
LOW	trainer/distillation.py	406	# Step 3: Set up EMA parameter containers
LOW	trainer/distillation.py	430	# Step 4: Initialize the optimizer
LOW	trainer/distillation.py	447	# Step 5: Initialize the dataloader
LOW	trainer/distillation.py	531	# Step 6: Initialize the validation dataloader for visualization (fixed prompts)
LOW	trainer/distillation.py	1000	# Step 1: Get the next batch of text prompts
LOW	trainer/distillation.py	1040	# Step 2: Extract the conditional infos
LOW	trainer/distillation.py	1071	# Step 3: Store gradients for the generator (if training the generator)

Excessive Try-Catch Wrapping52 hits · 61 pts

Severity	File	Line	Snippet
LOW	inference_sp.py	49	except Exception as exc:
LOW	inference.py	84	except Exception as e:
MEDIUM	pipeline/causal_diffusion_inference.py	468	def _vae_thread_fn():
LOW	pipeline/causal_diffusion_inference.py	356	except Exception:
LOW	pipeline/causal_diffusion_inference.py	361	except Exception:
LOW	pipeline/causal_diffusion_inference.py	366	except Exception:
LOW	pipeline/causal_diffusion_inference.py	936	except Exception:
LOW	pipeline/causal_diffusion_inference.py	946	except Exception:
LOW	pipeline/causal_diffusion_inference.py	951	except Exception:
LOW	pipeline/causal_diffusion_inference.py	965	except Exception:
LOW	pipeline/causal_diffusion_inference.py	974	except Exception:
LOW	pipeline/causal_diffusion_inference.py	64	except Exception as exc:
LOW	pipeline/causal_diffusion_inference.py	495	except Exception as exc:
LOW	pipeline/self_forcing_training.py	348	except Exception:
LOW	pipeline/self_forcing_training.py	353	except Exception:
LOW	pipeline/self_forcing_training.py	358	except Exception:
LOW	pipeline/self_forcing_training.py	381	except Exception:
LOW	pipeline/self_forcing_training.py	390	except Exception:
LOW	pipeline/self_forcing_training.py	764	except Exception:
LOW	pipeline/self_forcing_training.py	773	except Exception:
LOW	utils/torch_compile_utils.py	49	except Exception as exc:
LOW	utils/torch_compile_utils.py	75	except Exception as exc:
LOW	utils/torch_compile_utils.py	112	except Exception as exc:
MEDIUM	utils/dataset.py	433	def get_numeric_key(path):
LOW	utils/dataset.py	211	except Exception:
LOW	utils/dataset.py	230	except Exception:
LOW	utils/dataset.py	418	except Exception:
LOW	utils/dataset.py	469	except Exception:
LOW	utils/dataset.py	953	except Exception as exc:
LOW	utils/lightvae_5b_wrapper.py	123	except Exception as exc:
LOW	utils/lightvae_5b_wrapper.py	138	except Exception:
LOW	utils/quant.py	282	except Exception:
LOW	utils/quant.py	294	except Exception as copy_exc:
LOW	utils/quant.py	719	except Exception as exc: # pragma: no cover - exercised only when extension is stale/missing
LOW	wan_5b/utils/prompt_extend.py	185	except Exception as e:
LOW	wan_5b/utils/prompt_extend.py	248	except Exception as e:
LOW	wan_5b/utils/utils.py	53	except Exception as e:
LOW	wan_5b/utils/utils.py	75	except Exception as e:
LOW	wan_5b/modules/causal_model_sp_ulysses.py	46	except Exception:
LOW	wan_5b/modules/attention.py	11	except Exception:
LOW	wan_5b/modules/attention.py	36	except Exception:
LOW	scripts/decode_vae_latents.py	148	except Exception as e:
LOW	scripts/decode_lightvae_latents.py	324	except Exception as exc:
LOW	scripts/decode_lightvae_latents.py	334	except Exception as exc:
LOW	model/dmd.py	332	except Exception:
LOW	model/dmd.py	480	except Exception:
LOW	trainer/diffusion.py	50	except Exception as e:
LOW	trainer/diffusion.py	629	except Exception as e:
LOW	trainer/diffusion.py	646	except Exception as e:
LOW	trainer/diffusion.py	885	except Exception:
LOW	trainer/distillation.py	1265	except Exception as e:
LOW	trainer/distillation.py	908	except Exception as e:

Decorative Section Separators20 hits · 49 pts

Severity	File	Line	Snippet
MEDIUM	utils/dataset.py	164	# ------------------------------------------------------------------
MEDIUM	utils/dataset.py	166	# ------------------------------------------------------------------
MEDIUM	utils/dataset.py	175	# ------------------------------------------------------------------
MEDIUM	utils/dataset.py	177	# ------------------------------------------------------------------
MEDIUM	utils/dataset.py	215	# ------------------------------------------------------------------
MEDIUM	utils/dataset.py	217	# ------------------------------------------------------------------
MEDIUM	wan_5b/modules/causal_model.py	235	# -------------------------------
MEDIUM	wan_5b/modules/causal_model.py	238	# -------------------------------
MEDIUM	wan_5b/modules/causal_model.py	253	# -------------------------------
MEDIUM	wan_5b/modules/causal_model.py	258	# -------------------------------
MEDIUM	wan_5b/modules/causal_model.py	1206	# ==========================================
MEDIUM	wan_5b/modules/causal_model.py	1208	# ==========================================
MEDIUM	wan_5b/modules/causal_model.py	1220	# ==========================================
MEDIUM	wan_5b/modules/causal_model.py	1222	# ==========================================
MEDIUM	wan_5b/modules/causal_model.py	1239	# ==========================================
MEDIUM	wan_5b/modules/causal_model.py	1241	# ==========================================
MEDIUM	trainer/distillation.py	601	# ----------------------------------------------------------------------------------------------------------
MEDIUM	trainer/distillation.py	603	# ----------------------------------------------------------------------------------------------------------
MEDIUM	trainer/distillation.py	1332	# --------------------------------------------------------------------------------------------------------------
MEDIUM	trainer/distillation.py	1334	# --------------------------------------------------------------------------------------------------------------

Deep Nesting47 hits · 40 pts

Severity	File	Line
LOW	inference_sp.py	33
LOW	inference.py	61
LOW	pipeline/causal_diffusion_inference.py	167
LOW	pipeline/causal_diffusion_inference.py	369
LOW	pipeline/causal_diffusion_inference.py	468
LOW	pipeline/self_forcing_training.py	111
LOW	pipeline/self_forcing_training.py	409
LOW	fouroversix/setup.py	52
LOW	fouroversix/tests/test_correctness.py	52
LOW	fouroversix/scripts/ptq/evaluators/evaluator.py	59
LOW	utils/dataset.py	750
LOW	utils/position_embedding_utils.py	56
LOW	utils/error_buffer.py	239
LOW	utils/nvfp4_checkpoint.py	134
LOW	utils/quant.py	477
LOW	utils/lora_utils.py	19
LOW	wan_5b/utils/fm_solvers.py	412
LOW	wan_5b/utils/fm_solvers.py	483
LOW	wan_5b/utils/utils.py	106
LOW	wan_5b/utils/qwen_vl_utils.py	85
LOW	wan_5b/utils/qwen_vl_utils.py	328
LOW	wan_5b/modules/attention.py	84
LOW	wan_5b/modules/vae2_1.py	68
LOW	wan_5b/modules/vae2_1.py	101
LOW	wan_5b/modules/t5.py	27
LOW	wan_5b/modules/causal_model.py	90
LOW	wan_5b/modules/causal_model.py	316
LOW	wan_5b/modules/causal_model.py	1360
LOW	wan_5b/modules/vae2_2.py	73
LOW	wan_5b/modules/vae2_2.py	111
LOW	scripts/decode_vae_latents.py	72
LOW	scripts/decode_lightvae_latents.py	104
LOW	model/diffusion.py	15
LOW	trainer/diffusion.py	25
LOW	trainer/diffusion.py	56
LOW	trainer/diffusion.py	552
LOW	trainer/diffusion.py	578
LOW	trainer/diffusion.py	637
LOW	trainer/diffusion.py	911
LOW	trainer/diffusion.py	1016
LOW	trainer/diffusion.py	1080
LOW	trainer/distillation.py	37
LOW	trainer/distillation.py	831
LOW	trainer/distillation.py	857
LOW	trainer/distillation.py	994
LOW	trainer/distillation.py	1152
LOW	trainer/distillation.py	1271

Over-Commented Block14 hits · 14 pts

Severity	File	Line	Snippet
LOW	fouroversix/scripts/hadamard_code_gen.py	1	from pathlib import Path
LOW	…uroversix/src/fouroversix/quantize/quantized_tensor.py	161	f"Expected {expected_scale_factors} scale factors, got "
LOW	…uroversix/src/fouroversix/csrc/include/kernel_traits.h	81	// static constexpr int kSwizzleS = Is_nvfp4 ? 2 : 1; // 4 or 2 elements
LOW	…c/fouroversix/csrc/include/fp4_quant_launch_template.h	21	#define KERNEL_PARAM_MODIFIER __grid_constant__
LOW	…uroversix/src/fouroversix/csrc/include/static_switch.h	1	// Inspired by
LOW	utils/__init__.py	1	# Marker file: turn `utils/` from a namespace package into a regular package.
LOW	utils/rope_triton.py	21	import triton.language as tl
LOW	utils/kernel/__init__.py	1	# Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES
LOW	wan_5b/modules/attention.py	161	# we're trying to replace).
LOW	wan_5b/modules/causal_model.py	41	# concatenated freqs tensor each time. LRU keeps memory bounded.
LOW	wan_5b/modules/causal_model.py	61	# when disabled, stores (freqs_i_complex, None, None).
LOW	wan_5b/modules/causal_model.py	481	global_sink_tokens = getattr(self, "global_sink_size", 0) * frame_seqlen
LOW	wan_5b/modules/causal_model.py	661
LOW	model/diffusion.py	41	self.device = device

Hallucination Indicators1 hit · 10 pts

Severity	File	Line	Snippet
CRITICAL	fouroversix/scripts/ptq/evaluators/spinquant.py	230	model.lm_head.weight.data = model.model.embed_tokens.weight.data.clone()

Docstring Block Structure2 hits · 10 pts

Severity	File	Line	Snippet
HIGH	wan_5b/utils/utils.py	80	Convert a string to a boolean. Supported true values: 'yes', 'true', 't', 'y', '1' Supported false values:
HIGH	wan_5b/utils/qwen_vl_utils.py	138	calculate the number of frames for video used for model inputs. Args: ele (dict): a dict contains the confi

Self-Referential Comments1 hit · 4 pts

Severity	File	Line	Snippet
MEDIUM	trainer/distillation.py	1276	# Define the specific modules we want to apply LoRA to

Redundant / Tautological Comments2 hits · 3 pts

Severity	File	Line	Snippet
LOW	utils/dataset.py	473	# Check if we have enough frames for all segments
LOW	trainer/distillation.py	1156	# Check if we should train generator on this optimization step

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Pattern Findings