AI Slop Code RIsk Monitor

NVlabs/LongLive

Long Video Gen / World Model / World Action Model (Embodied) Infrastructure

9.9 Moderate pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for NVlabs/LongLive, a Python project with 2,745 GitHub stars. SynthScan examined 725,107 lines of code across 1638 source files, recording 4150 pattern matches distributed across 20 syntactic categories. The legacy adjusted pattern signal is 9.9 (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.

9.9
Adjusted Signal
9.9
Raw Pattern Score
100%
Time Factor
2026-10-09
Last Push
2.7K
Stars
Python
Language
725.1K
Lines of Code
1.6K
Files
4.2K
Pattern Hits
2026-10-12
Scan Date
0.43
HC Hit Rate

Risk Review · v3

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

Cognitive Ownership Risk 17.0/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 2601 finding(s).

Hallucinated Dependency & Supply Chain Risk 3.2/100 · LOW

Are imports declared and package/API names verified? 476 finding(s).

Agent Over-Engineering Ratio 28.9/100 · MEDIUM

Are wrappers, guards, and repeated structures necessary? 2061 finding(s).

PR Review Velocity Impact 42.2/100 · MEDIUM

Which changes need focused human review? 4150 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 1HIGH 710MEDIUM 121LOW 3318

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 4150 distinct pattern matches across 20 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 Repetition654 hits · 3270 pts
SeverityFileLineSnippetContext
HIGH…_party/LongLive/pipeline/causal_diffusion_inference.py0initialize a per-gpu cross-attention cache for the wan model.STRING
HIGH…third_party/LongLive/pipeline/self_forcing_training.py0initialize a per-gpu cross-attention cache for the wan model.STRING
HIGHLongLive1.0/pipeline/streaming_training.py0initialize a per-gpu cross-attention cache for the wan model.STRING
HIGHLongLive1.0/pipeline/causal_inference.py0initialize a per-gpu cross-attention cache for the wan model.STRING
HIGHLongLive1.0/pipeline/self_forcing_training.py0initialize a per-gpu cross-attention cache for the wan model.STRING
HIGHLongLive2.0/pipeline/causal_diffusion_inference.py0initialize a per-gpu cross-attention cache for the wan model.STRING
HIGHLongLive2.0/pipeline/self_forcing_training.py0initialize a per-gpu cross-attention cache for the wan model.STRING
HIGH…_party/LongLive/pipeline/causal_diffusion_inference.py0set max_attention_size on all submodules that define it. if local_attn_size_value == -1, use the model's global default STRING
HIGHLongLive1.0/pipeline/causal_inference.py0set max_attention_size on all submodules that define it. if local_attn_size_value == -1, use the model's global default STRING
HIGHLongLive2.0/pipeline/causal_diffusion_inference.py0set max_attention_size on all submodules that define it. if local_attn_size_value == -1, use the model's global default STRING
HIGH…_party/LongLive/pipeline/causal_diffusion_inference.py0override sink_size on all submodules that define it.STRING
HIGH…third_party/LongLive/pipeline/self_forcing_training.py0override sink_size on all submodules that define it.STRING
HIGHLongLive2.0/pipeline/causal_diffusion_inference.py0override sink_size on all submodules that define it.STRING
HIGHLongLive2.0/pipeline/self_forcing_training.py0override sink_size on all submodules that define it.STRING
HIGH…_party/LongLive/pipeline/causal_diffusion_inference.py0override global_sink_size on all submodules; create the attribute if missing.STRING
HIGH…third_party/LongLive/pipeline/self_forcing_training.py0override global_sink_size on all submodules; create the attribute if missing.STRING
HIGHLongLive2.0/pipeline/causal_diffusion_inference.py0override global_sink_size on all submodules; create the attribute if missing.STRING
HIGHLongLive2.0/pipeline/self_forcing_training.py0override global_sink_size on all submodules; create the attribute if missing.STRING
HIGH…_party/LongLive/pipeline/causal_diffusion_inference.py0mark the current chunk's buffer position as pinned for multi-shot sink. the pinned region replaces the original sink on STRING
HIGH…third_party/LongLive/pipeline/self_forcing_training.py0mark the current chunk's buffer position as pinned for multi-shot sink. the pinned region replaces the original sink on STRING
HIGHLongLive2.0/pipeline/causal_diffusion_inference.py0mark the current chunk's buffer position as pinned for multi-shot sink. the pinned region replaces the original sink on STRING
HIGHLongLive2.0/pipeline/self_forcing_training.py0mark the current chunk's buffer position as pinned for multi-shot sink. the pinned region replaces the original sink on STRING
HIGH…third_party/LongLive/pipeline/self_forcing_training.py0chunk generation method tailored for sequential training args: noise: noise tensor for a single chunk [batch_size, chunkSTRING
HIGHLongLive1.0/pipeline/streaming_training.py0chunk generation method tailored for sequential training args: noise: noise tensor for a single chunk [batch_size, chunkSTRING
HIGHLongLive1.0/pipeline/self_forcing_training.py0chunk generation method tailored for sequential training args: noise: noise tensor for a single chunk [batch_size, chunkSTRING
HIGHLongLive2.0/pipeline/self_forcing_training.py0chunk generation method tailored for sequential training args: noise: noise tensor for a single chunk [batch_size, chunkSTRING
HIGH…third_party/LongLive/pipeline/self_forcing_training.py0zero out all tensors in kv cache and cross-attention cache instead of setting them to none. this preserves memory allocaSTRING
HIGHLongLive1.0/pipeline/streaming_training.py0zero out all tensors in kv cache and cross-attention cache instead of setting them to none. this preserves memory allocaSTRING
HIGHLongLive1.0/pipeline/self_forcing_training.py0zero out all tensors in kv cache and cross-attention cache instead of setting them to none. this preserves memory allocaSTRING
HIGHLongLive2.0/pipeline/self_forcing_training.py0zero out all tensors in kv cache and cross-attention cache instead of setting them to none. this preserves memory allocaSTRING
HIGH…third_party/LongLive/pipeline/self_forcing_training.py0set a unified upper bound for all submodules that contain the max_attention_size attribute. local_attn_size_value == -1 STRING
HIGHLongLive1.0/pipeline/streaming_training.py0set a unified upper bound for all submodules that contain the max_attention_size attribute. local_attn_size_value == -1 STRING
HIGHLongLive1.0/pipeline/self_forcing_training.py0set a unified upper bound for all submodules that contain the max_attention_size attribute. local_attn_size_value == -1 STRING
HIGHLongLive2.0/pipeline/self_forcing_training.py0set a unified upper bound for all submodules that contain the max_attention_size attribute. local_attn_size_value == -1 STRING
HIGH…g-WAM/stage1/third_party/LongLive/fouroversix/setup.py0add -gencode flags based on nvcc capabilities. uses the following rules: - sm_100/120 on cuda >= 12.8 - use 100f on cudaSTRING
HIGHLong-WAM/third_party/fouroversix/setup.py0add -gencode flags based on nvcc capabilities. uses the following rules: - sm_100/120 on cuda >= 12.8 - use 100f on cudaSTRING
HIGHLongLive2.0/fouroversix/setup.py0add -gencode flags based on nvcc capabilities. uses the following rules: - sm_100/120 on cuda >= 12.8 - use 100f on cudaSTRING
HIGH…g-WAM/stage1/third_party/LongLive/fouroversix/setup.py0custom bdist wheel command that checks for pre-built wheels on github releases. the cachedwheelscommand plugs into the dSTRING
HIGHLong-WAM/third_party/fouroversix/setup.py0custom bdist wheel command that checks for pre-built wheels on github releases. the cachedwheelscommand plugs into the dSTRING
HIGHLongLive2.0/fouroversix/setup.py0custom bdist wheel command that checks for pre-built wheels on github releases. the cachedwheelscommand plugs into the dSTRING
HIGH…g-WAM/stage1/third_party/LongLive/fouroversix/setup.py0custom build extension that tells ninja how many jobs to run. credit: https://github.com/dao-ailab/flash-attention/blob/STRING
HIGHLong-WAM/third_party/fouroversix/setup.py0custom build extension that tells ninja how many jobs to run. credit: https://github.com/dao-ailab/flash-attention/blob/STRING
HIGHLongLive2.0/fouroversix/setup.py0custom build extension that tells ninja how many jobs to run. credit: https://github.com/dao-ailab/flash-attention/blob/STRING
HIGH…rd_party/LongLive/fouroversix/src/fouroversix/utils.py0return the block size if this a block-scaled format, or `none` otherwise.STRING
HIGH…g-WAM/third_party/fouroversix/src/fouroversix/utils.py0return the block size if this a block-scaled format, or `none` otherwise.STRING
HIGHLongLive2.0/fouroversix/src/fouroversix/utils.py0return the block size if this a block-scaled format, or `none` otherwise.STRING
HIGH…rd_party/LongLive/fouroversix/src/fouroversix/utils.py0return the scale dtype if this a block-scaled format, or `none` otherwise.STRING
HIGH…g-WAM/third_party/fouroversix/src/fouroversix/utils.py0return the scale dtype if this a block-scaled format, or `none` otherwise.STRING
HIGHLongLive2.0/fouroversix/src/fouroversix/utils.py0return the scale dtype if this a block-scaled format, or `none` otherwise.STRING
HIGH…rd_party/LongLive/fouroversix/src/fouroversix/utils.py0return the corresponding torch.dtype if one is available, or `none` otherwise.STRING
HIGH…g-WAM/third_party/fouroversix/src/fouroversix/utils.py0return the corresponding torch.dtype if one is available, or `none` otherwise.STRING
HIGHLongLive2.0/fouroversix/src/fouroversix/utils.py0return the corresponding torch.dtype if one is available, or `none` otherwise.STRING
HIGH…rd_party/LongLive/fouroversix/src/fouroversix/utils.py0backends for matrix multiplication with fp4. - `cutlass`: cutlass implementation. this requires a blackwell gpu. - `pytoSTRING
HIGH…g-WAM/third_party/fouroversix/src/fouroversix/utils.py0backends for matrix multiplication with fp4. - `cutlass`: cutlass implementation. this requires a blackwell gpu. - `pytoSTRING
HIGHLongLive2.0/fouroversix/src/fouroversix/utils.py0backends for matrix multiplication with fp4. - `cutlass`: cutlass implementation. this requires a blackwell gpu. - `pytoSTRING
HIGH…rd_party/LongLive/fouroversix/src/fouroversix/utils.py0backends for quantizing a tensor to nvfp4 or mxfp4. - `cuda`: cuda implementation. requires a blackwell gpu, and currentSTRING
HIGH…g-WAM/third_party/fouroversix/src/fouroversix/utils.py0backends for quantizing a tensor to nvfp4 or mxfp4. - `cuda`: cuda implementation. requires a blackwell gpu, and currentSTRING
HIGHLongLive2.0/fouroversix/src/fouroversix/utils.py0backends for quantizing a tensor to nvfp4 or mxfp4. - `cuda`: cuda implementation. requires a blackwell gpu, and currentSTRING
HIGH…rd_party/LongLive/fouroversix/src/fouroversix/utils.py0rounding styles for quantization. - `nearest`: round to the nearest fp4 value. - `stochastic`: round to the nearest fp4 STRING
HIGH…g-WAM/third_party/fouroversix/src/fouroversix/utils.py0rounding styles for quantization. - `nearest`: round to the nearest fp4 value. - `stochastic`: round to the nearest fp4 STRING
594 more matches not shown…
Over-Commented Block1099 hits · 1094 pts
SeverityFileLineSnippetContext
LOWLong-WAM/pyproject.toml1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…g-WAM/tools/weights/map_longlive_ar_to_video_expert.py1#!/usr/bin/env pythonCOMMENT
LOWLong-WAM/tools/results/summarize_domino_eval.py1#!/usr/bin/env python3COMMENT
LOW…ng-WAM/tools/data/build_robocasa_gr1_tabletop_stats.py1#!/usr/bin/env python3COMMENT
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py1#!/usr/bin/env python3COMMENT
LOW…AM/tools/data/materialize_robotwin_replay_selection.py1#!/usr/bin/env python3COMMENT
LOWLong-WAM/tools/data/build_robocasa_norm_stats.py1#!/usr/bin/env python3COMMENT
LOWLong-WAM/stage1/run.py1#!/usr/bin/env python3COMMENT
LOWLong-WAM/stage1/train.sh1#!/usr/bin/env bashCOMMENT
LOWLong-WAM/stage1/eval.sh1#!/usr/bin/env bashCOMMENT
LOWLong-WAM/stage1/validation_artifacts.py1#!/usr/bin/env python3COMMENT
LOWLong-WAM/stage1/runtime/__init__.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOWLong-WAM/stage1/runtime/head_sharding.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…-WAM/stage1/requirements/longlive2-bf16-cu128.lock.txt1# LongLive2 BF16 stage-1 runtime dependencies.COMMENT
LOWLong-WAM/stage1/third_party/LongLive/train.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…third_party/LongLive/pipeline/self_forcing_training.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…rty/LongLive/pipeline/causal_diffusion_inference_sp.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…g-WAM/stage1/third_party/LongLive/fouroversix/setup.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…gLive/fouroversix/src/fouroversix/quantize/__init__.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…LongLive/fouroversix/src/fouroversix/quantize/utils.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…/fouroversix/src/fouroversix/quantize/cuda/__init__.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…ouroversix/src/fouroversix/quantize/triton/__init__.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…uroversix/src/fouroversix/quantize/pytorch/__init__.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…LongLive/fouroversix/src/fouroversix/csrc/bindings.cpp1// Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…gLive/fouroversix/src/fouroversix/csrc/include/utils.h1// Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…gLive/fouroversix/src/fouroversix/csrc/include/utils.h21COMMENT
LOW…e/fouroversix/src/fouroversix/csrc/include/fp4_quant.h1// Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…uroversix/src/fouroversix/csrc/include/kernel_traits.h1// Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…uroversix/src/fouroversix/csrc/include/kernel_traits.h101 // static constexpr int kSwizzleM = 3;COMMENT
LOW…c/fouroversix/csrc/include/fp4_quant_launch_template.h1// Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…c/fouroversix/csrc/include/fp4_quant_launch_template.h21#include <c10/cuda/CUDAException.h> // For C10_CUDA_CHECK and C10_CUDA_KERNEL_LAUNCH_CHECKCOMMENT
LOW…uroversix/src/fouroversix/csrc/include/hardware_info.h1// Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…uroversix/src/fouroversix/csrc/include/static_switch.h1// Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…uroversix/src/fouroversix/csrc/include/static_switch.h21#pragma onceCOMMENT
LOW…versix/src/fouroversix/csrc/include/fp4_quant_kernel.h1// Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…versix/src/fouroversix/csrc/include/fp4_quant_kernel.h21#pragma onceCOMMENT
LOW…rsix/src/fouroversix/csrc/include/hadamard_transform.h1// Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…/fouroversix/src/fouroversix/model/modules/__init__.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…ongLive/fouroversix/src/fouroversix/matmul/__init__.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…fouroversix/src/fouroversix/matmul/cutlass/__init__.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…e1/third_party/LongLive/tests/test_fixed_evaluation.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…rty/LongLive/tests/test_i2v_teacher_forcing_context.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…rty/LongLive/tests/test_wan_backbone_initialization.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…y/LongLive/tests/test_padding_aware_error_recycling.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…party/LongLive/tests/test_distributed_train_sampler.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…ty/LongLive/tests/test_generator_checkpoint_loading.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOWLong-WAM/stage1/third_party/LongLive/utils/config.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOWLong-WAM/stage1/third_party/LongLive/utils/memory.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…ng-WAM/stage1/third_party/LongLive/utils/evaluation.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…age1/third_party/LongLive/utils/torch_compile_utils.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOWLong-WAM/stage1/third_party/LongLive/utils/__init__.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…g-WAM/stage1/third_party/LongLive/utils/distributed.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…-WAM/stage1/third_party/LongLive/utils/nvfp4_kernel.py1#!/usr/bin/env pythonCOMMENT
LOW…third_party/LongLive/utils/position_embedding_utils.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…g-WAM/stage1/third_party/LongLive/utils/rope_triton.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…-WAM/stage1/third_party/LongLive/utils/error_buffer.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…/stage1/third_party/LongLive/utils/nvfp4_checkpoint.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
LOW…AM/stage1/third_party/LongLive/utils/wan_5b_wrapper.py1# Long-WAM file attribution; existing upstream notices are retained below.COMMENT
1039 more matches not shown…
Hyper-Verbose Identifiers856 hits · 808 pts
SeverityFileLineSnippetContext
LOW…ng-WAM/tools/weights/preprocess_action_dit_backbone.py43def _is_unresolved_interpolation(value: Any) -> bool:CODE
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py121def _resolve_official_revision(repository: str, requested_revision: str) -> str:CODE
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py415def _validate_trajectory_tree(CODE
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py468def _terminal_trajectory_fingerprint(raw_pickle: bytes) -> str:CODE
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py522def _fetch_official_instructions(CODE
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py602def _fetch_official_trajectory_fingerprints(CODE
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py685def _validate_state_feature_contract(info: Mapping) -> None:CODE
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py709def _combined_terminal_fingerprint(CODE
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py996def _validate_selected_parquets(CODE
LOW⚡…_party/LongLive/pipeline/causal_diffusion_inference.py965 def _set_all_modules_sink_size(self, sink_size_value: int):CODE
LOW⚡…_party/LongLive/pipeline/causal_diffusion_inference.py979 def _set_all_modules_global_sink_size(self, value: int):CODE
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py872 def _initialize_crossattn_cache(self, batch_size, dtype, device):CODE
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py906 def _initialize_sample_scheduler(self, noise):CODE
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py929 def _set_all_modules_max_attention_size(self, local_attn_size_value: int):CODE
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py1012 def _update_sink_for_scene_cut(self, kv_cache, current_num_frames):CODE
LOW⚡…third_party/LongLive/pipeline/self_forcing_training.py383 def _set_all_modules_sink_size(self, sink_size_value: int):CODE
LOW⚡…third_party/LongLive/pipeline/self_forcing_training.py395 def _set_all_modules_global_sink_size(self, value: int):CODE
LOW…third_party/LongLive/pipeline/self_forcing_training.py93 def _build_default_denoising_step_list(self, sampling_steps):CODE
LOW…third_party/LongLive/pipeline/self_forcing_training.py122 def generate_chunk_with_cache(CODE
LOW…third_party/LongLive/pipeline/self_forcing_training.py299 def inference_with_trajectory(CODE
LOW…third_party/LongLive/pipeline/self_forcing_training.py420 def _inference_with_trajectory_inner(CODE
LOW…third_party/LongLive/pipeline/self_forcing_training.py709 def _initialize_crossattn_cache(self, batch_size, dtype, device):CODE
LOW…third_party/LongLive/pipeline/self_forcing_training.py755 def _set_all_modules_max_attention_size(self, local_attn_size_value: int):CODE
LOW…g-WAM/stage1/third_party/LongLive/fouroversix/setup.py46def get_cuda_bare_metal_version() -> Version | None:CODE
LOW…LongLive/fouroversix/src/fouroversix/quantize/utils.py26def get_no_random_sign_vector(device: int) -> torch.Tensor:CODE
LOW…LongLive/fouroversix/src/fouroversix/model/quantize.py45 def should_replace_existing_modules_in_model(CODE
LOW…ve/fouroversix/src/fouroversix/model/modules/linear.py281 def _serialize_quantized_weight(CODE
LOW…ve/fouroversix/src/fouroversix/model/modules/linear.py332 def quantized_weight_transposed(self) -> QuantizedTensor | None:CODE
LOW…e1/third_party/LongLive/tests/test_fixed_evaluation.py55def _distributed_failure_worker(rank, world_size, init_file, output_dir):CODE
LOW…e1/third_party/LongLive/tests/test_fixed_evaluation.py90 def test_distributed_failures_reach_every_rank_with_same_message(self):CODE
LOW…e1/third_party/LongLive/tests/test_fixed_evaluation.py110 def test_legacy_config_resolves_to_one_unnamed_group(self):CODE
LOW…e1/third_party/LongLive/tests/test_fixed_evaluation.py125 def test_named_groups_preserve_short_then_long_order(self):CODE
LOW…e1/third_party/LongLive/tests/test_fixed_evaluation.py153 def test_invalid_named_group_contract_fails_early(self):CODE
LOW⚡…e1/third_party/LongLive/tests/test_fixed_evaluation.py177 def test_selection_uses_ids_not_folder_order(self):CODE
LOW⚡…e1/third_party/LongLive/tests/test_fixed_evaluation.py186 def test_selection_validates_only_selected_manifest_indices(self):CODE
LOW⚡…e1/third_party/LongLive/tests/test_fixed_evaluation.py192 def validate_fixed_evaluation_indices(self, indices):CODE
LOW⚡…e1/third_party/LongLive/tests/test_fixed_evaluation.py206 def test_dataset_cannot_relabel_selected_evaluation_ids(self):CODE
LOW⚡…e1/third_party/LongLive/tests/test_fixed_evaluation.py208 def validate_fixed_evaluation_indices(self, indices):CODE
LOW⚡…e1/third_party/LongLive/tests/test_fixed_evaluation.py216 def test_missing_and_duplicate_ids_fail_early(self):CODE
LOW⚡…e1/third_party/LongLive/tests/test_fixed_evaluation.py224 def test_padded_replicas_have_one_canonical_writer(self):CODE
LOW…e1/third_party/LongLive/tests/test_fixed_evaluation.py254 def test_seed_and_weight_mode_are_stable(self):CODE
LOW…e1/third_party/LongLive/tests/test_fixed_evaluation.py267 def test_legacy_nonfixed_model_artifact_keeps_empty_suffix(self):CODE
LOW…e1/third_party/LongLive/tests/test_fixed_evaluation.py303 def test_single_process_failure_uses_distributed_error_contract(self):CODE
LOW…e1/third_party/LongLive/tests/test_fixed_evaluation.py312 def test_six_single_weight_panels_have_stable_wandb_keys(self):CODE
LOW…rty/LongLive/tests/test_i2v_teacher_forcing_context.py126def _load_causal_diffusion_with_stubs():CODE
LOW…rty/LongLive/tests/test_wan_backbone_initialization.py156 def test_default_path_loads_pretrained_weights(self):CODE
LOW…rty/LongLive/tests/test_wan_backbone_initialization.py181 def test_explicit_config_path_never_loads_pretrained_weights(self):CODE
LOW…y/LongLive/tests/test_padding_aware_error_recycling.py38def _load_causal_diffusion_with_stubs():CODE
LOW…y/LongLive/tests/test_padding_aware_error_recycling.py157 def test_local_collection_keeps_only_valid_blocks_without_reindexing(self):CODE
LOW…y/LongLive/tests/test_padding_aware_error_recycling.py180 def test_all_injection_paths_leave_invalid_tail_untouched(self):CODE
LOW…y/LongLive/tests/test_padding_aware_error_recycling.py296 def test_warmup_gather_propagates_and_filters_block_validity(self):CODE
LOW…y/LongLive/tests/test_padding_aware_error_recycling.py391 def test_error_buffer_invalid_add_cannot_replace_valid_entry(self):CODE
LOW…y/LongLive/tests/test_padding_aware_error_recycling.py413 def test_strict_same_stage_error_buffer_round_trip(self):CODE
LOW…y/LongLive/tests/test_padding_aware_error_recycling.py441 def test_strict_error_buffer_layout_mismatch_fails_before_mutation(self):CODE
LOW…party/LongLive/tests/test_distributed_train_sampler.py88 def test_train_sampler_is_identical_within_sp_and_disjoint_across_dp(self):CODE
LOW…party/LongLive/tests/test_distributed_train_sampler.py106 def test_eval_sampler_is_identical_within_sp_and_covers_dataset(self):CODE
LOW…party/LongLive/tests/test_distributed_train_sampler.py121 def test_epoch_changes_shared_train_order_deterministically(self):CODE
LOW…party/LongLive/tests/test_distributed_train_sampler.py137 def test_cycle_calls_set_epoch_once_per_completed_pass(self):CODE
LOW…party/LongLive/tests/test_distributed_train_sampler.py148 def test_resume_cursor_cold_mid_epoch_and_epoch_boundary(self):CODE
LOW…party/LongLive/tests/test_distributed_train_sampler.py182 def test_mid_epoch_offset_skips_indices_without_decoding_them(self):CODE
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Unused Imports469 hits · 456 pts
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LOWLong-WAM/tools/data/build_robocasa_norm_stats.py28CODE
LOWLong-WAM/stage1/run.py107CODE
LOWLong-WAM/stage1/infer.py11CODE
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LOW…g-WAM/stage1/third_party/LongLive/pipeline/__init__.py10CODE
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LOW…third_party/LongLive/pipeline/self_forcing_training.py23CODE
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LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py14CODE
LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py14CODE
LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py14CODE
LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py14CODE
LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py14CODE
LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py21CODE
LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py21CODE
LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py21CODE
LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py22CODE
LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py22CODE
LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py22CODE
LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py22CODE
LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py22CODE
LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py23CODE
LOW…gLive/fouroversix/src/fouroversix/quantize/__init__.py11CODE
LOW…gLive/fouroversix/src/fouroversix/quantize/__init__.py12CODE
LOW…gLive/fouroversix/src/fouroversix/quantize/__init__.py13CODE
LOW…gLive/fouroversix/src/fouroversix/quantize/__init__.py14CODE
LOW…oversix/src/fouroversix/quantize/transformer_engine.py43CODE
LOW…e/fouroversix/src/fouroversix/quantize/cuda/backend.py39CODE
LOW…/fouroversix/src/fouroversix/quantize/cuda/__init__.py11CODE
LOW…/fouroversix/src/fouroversix/quantize/triton/kernel.py11CODE
LOW…ouroversix/src/fouroversix/quantize/triton/__init__.py11CODE
LOW…uroversix/src/fouroversix/quantize/pytorch/__init__.py11CODE
LOW…roversix/src/fouroversix/quantize/pytorch/reference.py11CODE
LOW…LongLive/fouroversix/src/fouroversix/model/quantize.py11CODE
LOW…LongLive/fouroversix/src/fouroversix/model/__init__.py11CODE
LOW…LongLive/fouroversix/src/fouroversix/model/__init__.py11CODE
LOW…LongLive/fouroversix/src/fouroversix/model/__init__.py12CODE
LOW…LongLive/fouroversix/src/fouroversix/model/__init__.py13CODE
LOW…LongLive/fouroversix/src/fouroversix/model/__init__.py13CODE
LOW…/fouroversix/src/fouroversix/model/modules/__init__.py11CODE
LOW…/fouroversix/src/fouroversix/model/modules/__init__.py12CODE
LOW…ongLive/fouroversix/src/fouroversix/matmul/__init__.py11CODE
LOW…/fouroversix/src/fouroversix/matmul/cutlass/backend.py37CODE
LOW…fouroversix/src/fouroversix/matmul/cutlass/__init__.py11CODE
LOW…ng-WAM/stage1/third_party/LongLive/utils/evaluation.py24CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py38CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py46CODE
LOW…g-WAM/stage1/third_party/LongLive/utils/rope_triton.py27CODE
LOW…/stage1/third_party/LongLive/utils/nvfp4_checkpoint.py20CODE
LOW…-WAM/stage1/third_party/LongLive/utils/adaln_triton.py29CODE
LOW…M/stage1/third_party/LongLive/utils/inference_utils.py22CODE
LOW…M/stage1/third_party/LongLive/utils/inference_utils.py27CODE
LOW…stage1/third_party/LongLive/utils/kernel/kv_dequant.py23CODE
LOW…stage1/third_party/LongLive/utils/kernel/kv_dequant.py25CODE
LOW…stage1/third_party/LongLive/wan_5b/distributed/util.py24CODE
LOW…stage1/third_party/LongLive/wan_5b/distributed/util.py24CODE
LOW…stage1/third_party/LongLive/wan_5b/distributed/util.py24CODE
LOW…stage1/third_party/LongLive/wan_5b/distributed/util.py24CODE
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Empty Error Handlers49 hits · 245 pts
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HIGHLong-WAM/tools/data/build_robocasa_norm_stats.py275except FileNotFoundError:CODE
HIGH…_party/LongLive/pipeline/causal_diffusion_inference.py985except Exception:CODE
HIGH…_party/LongLive/pipeline/causal_diffusion_inference.py962except Exception:CODE
HIGH…_party/LongLive/pipeline/causal_diffusion_inference.py976except Exception:CODE
HIGH…_party/LongLive/pipeline/causal_diffusion_inference.py367except Exception:CODE
HIGH…_party/LongLive/pipeline/causal_diffusion_inference.py372except Exception:CODE
HIGH…_party/LongLive/pipeline/causal_diffusion_inference.py377except Exception:CODE
HIGH…third_party/LongLive/pipeline/self_forcing_training.py401except Exception:CODE
HIGH…third_party/LongLive/pipeline/self_forcing_training.py775except Exception:CODE
HIGH…third_party/LongLive/pipeline/self_forcing_training.py359except Exception:CODE
HIGH…third_party/LongLive/pipeline/self_forcing_training.py364except Exception:CODE
HIGH…third_party/LongLive/pipeline/self_forcing_training.py369except Exception:CODE
HIGH…third_party/LongLive/pipeline/self_forcing_training.py392except Exception:CODE
HIGH…third_party/LongLive/pipeline/self_forcing_training.py784except Exception:CODE
HIGHLong-WAM/stage1/third_party/LongLive/utils/dataset.py800except Exception:CODE
HIGHLong-WAM/stage1/third_party/LongLive/utils/dataset.py770except FileNotFoundError:CODE
HIGH…/stage1/third_party/LongLive/utils/nvfp4_checkpoint.py91except ImportError:CODE
HIGH…AM/stage1/third_party/LongLive/utils/wan_5b_wrapper.py429except (KeyError, AttributeError, ImportError):CODE
HIGHLong-WAM/stage1/third_party/LongLive/utils/quant.py292except Exception:CODE
HIGH…-WAM/stage1/scripts/longlive/prebuild_video_indexes.py97except FileNotFoundError:CODE
HIGHLong-WAM/src/longwam/evaluation.py126except KeyboardInterrupt:CODE
HIGHLong-WAM/src/longwam/evaluation.py506except ProcessLookupError:CODE
HIGHLong-WAM/src/longwam/runtime/worker.py88except BaseException:CODE
HIGHLong-WAM/src/longwam/runtime/worker.py270except queue.Full:CODE
HIGHLong-WAM/src/longwam/agentic/_vendor/transport.py90except queue.Full:CODE
HIGHLong-WAM/src/longwam/benchmarks/robocasa_gr1/rollout.py290except (BrokenPipeError, EOFError, OSError):CODE
HIGH…WAM/src/longwam/benchmarks/robocasa/agentic/session.py236except Exception:CODE
HIGH…WAM/src/longwam/benchmarks/robocasa/agentic/session.py240except Exception:CODE
HIGHLongLive1.0/pipeline/streaming_training.py333except Exception:CODE
HIGHLongLive1.0/pipeline/streaming_training.py342except Exception:CODE
HIGHLongLive1.0/pipeline/causal_inference.py318except Exception:CODE
HIGHLongLive1.0/pipeline/self_forcing_training.py571except Exception:CODE
HIGHLongLive1.0/pipeline/self_forcing_training.py580except Exception:CODE
HIGHLongLive2.0/pipeline/causal_diffusion_inference.py971except Exception:CODE
HIGHLongLive2.0/pipeline/causal_diffusion_inference.py948except Exception:CODE
HIGHLongLive2.0/pipeline/causal_diffusion_inference.py962except Exception:CODE
HIGHLongLive2.0/pipeline/causal_diffusion_inference.py353except Exception:CODE
HIGHLongLive2.0/pipeline/causal_diffusion_inference.py358except Exception:CODE
HIGHLongLive2.0/pipeline/causal_diffusion_inference.py363except Exception:CODE
HIGHLongLive2.0/pipeline/self_forcing_training.py390except Exception:CODE
HIGHLongLive2.0/pipeline/self_forcing_training.py764except Exception:CODE
HIGHLongLive2.0/pipeline/self_forcing_training.py348except Exception:CODE
HIGHLongLive2.0/pipeline/self_forcing_training.py353except Exception:CODE
HIGHLongLive2.0/pipeline/self_forcing_training.py358except Exception:CODE
HIGHLongLive2.0/pipeline/self_forcing_training.py381except Exception:CODE
HIGHLongLive2.0/pipeline/self_forcing_training.py773except Exception:CODE
HIGHLongLive2.0/utils/nvfp4_checkpoint.py81except ImportError:CODE
HIGHLongLive2.0/utils/wan_5b_wrapper.py370except (KeyError, AttributeError, ImportError):CODE
HIGHLongLive2.0/utils/quant.py282except Exception:CODE
Verbosity Indicators144 hits · 216 pts
SeverityFileLineSnippetContext
LOW⚡…_party/LongLive/pipeline/causal_diffusion_inference.py78 # Step 2: Initialize schedulerCOMMENT
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py50 # Step 1: Initialize all modelsCOMMENT
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py243 # Step 1: Initialize KV cache to all zerosCOMMENT
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py277 # Step 2: Cache context featureCOMMENT
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py448 # Step 3: Temporal denoising loopCOMMENT
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py752 # Step 4: Decode the outputCOMMENT
LOW…third_party/LongLive/pipeline/self_forcing_training.py457 # Step 1: Initialize KV cache to all zerosCOMMENT
LOW…third_party/LongLive/pipeline/self_forcing_training.py479 # Step 2: Cache context featureCOMMENT
LOW…third_party/LongLive/pipeline/self_forcing_training.py497 # Step 3: Temporal denoising loopCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py1574 # We need to check if we can get num_frames framesCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/diffusion.py55 # Step 2: Initialize all hyperparametersCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/diffusion.py196 # Step 2: Randomly sample a timestep and add noise to denoiser inputsCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/diffusion.py316 # Step 3: Noise augmentation, also add small noise to clean context latentsCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/diffusion.py391 # Step 5: Store prediction errors into error buffer.COMMENT
LOW⚡Long-WAM/stage1/third_party/LongLive/model/dmd.py498 # Step 5: Debugging LogCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py58 # Step 2: Initialize all dmd hyperparametersCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py109 # Step 1: Compute the fake scoreCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py130 # Step 2: Compute the real scoreCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py149 # Step 3: Compute the DMD gradient (DMD paper eq. 7).COMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py224 # Step 1: Randomly sample timestep based on the given schedule and corresponding noiseCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py258 # Step 2: Compute the KL gradCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py302 # Step 1: Unroll generator to obtain fake videosCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py318 # Step 2: Compute the DMD lossCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py379 # Step 1: Run generator on backward simulated noisy inputCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py421 # Step 2: Compute the fake predictionCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py461 # Step 3: Compute the denoising loss for the fake criticCOMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py1575 # Step 1: Initialize the distributed training environment (rank, seed, dtype, logging etc.)COMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py1804 # Step 2: Initialize the model and optimizerCOMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2009 # Step 3: Initialize the dataloaderCOMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2740 # Step 1: Get the next batch of text promptsCOMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2763 # Step 2: Extract the conditional infosCOMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2796 # Step 3: Train the generatorCOMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2825 # Step 4: Update EMA (if enabled and after start step)COMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2869 # Step 5: LoggingCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py52 # Step 1: Initialize the distributed training environment (rank, seed, dtype, logging etc.)COMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py90 # Step 2: Initialize the modelCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py417 # Step 3: Set up EMA parameter containersCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py441 # Step 4: Initialize the optimizerCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py458 # Step 5: Initialize the dataloaderCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py542 # Step 6: Initialize the validation dataloader for visualization (fixed prompts)COMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py1011 # Step 1: Get the next batch of text promptsCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py1051 # Step 2: Extract the conditional infosCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py1082 # Step 3: Store gradients for the generator (if training the generator)COMMENT
LOW…/cutlass/epilogue/threadblock/fusion/visitor_store.hpp582 // Step 1: reduce fragment input (Src) into tRS_rSrcCOMMENT
LOW…/cutlass/epilogue/threadblock/fusion/visitor_store.hpp593 // Step 2: copy the partial results in tRS_rSrc to sRows in shared memoryCOMMENT
LOW…/cutlass/epilogue/threadblock/fusion/visitor_store.hpp605 // Step 3: copy the partial results in sRows to tSR_sRow for reductionCOMMENT
LOW…/cutlass/epilogue/threadblock/fusion/visitor_store.hpp619 // Step 4: atomically reduce the results to global memoryCOMMENT
LOW…/cutlass/transform/collective/sm90_wgmma_transpose.hpp347 /// Step 0: Step 1:COMMENT
LOW⚡…/cutlass/transform/collective/sm90_wgmma_transpose.hpp565 /// Step 0: Step 1: Step 2: Step 3:COMMENT
LOW⚡…/cutlass/transform/collective/sm90_wgmma_transpose.hpp575 /// Step 4: Step 5: Step 6: Step 7:COMMENT
LOW⚡LongLive1.0/pipeline/causal_inference.py23 # Step 1: Initialize all modelsCOMMENT
LOW⚡LongLive1.0/pipeline/causal_inference.py31 # Step 2: Initialize all causal hyperparmetersCOMMENT
LOWLongLive1.0/pipeline/causal_inference.py109 # Step 1: Initialize KV cache to all zerosCOMMENT
LOWLongLive1.0/pipeline/causal_inference.py144 # Step 2: Temporal denoising loopCOMMENT
LOWLongLive1.0/pipeline/causal_inference.py219 # Step 3: Decode the outputCOMMENT
LOWLongLive1.0/pipeline/self_forcing_training.py322 # Step 1: Initialize KV cache to all zerosCOMMENT
LOWLongLive1.0/pipeline/self_forcing_training.py351 # Step 2: Cache context featureCOMMENT
LOWLongLive1.0/pipeline/self_forcing_training.py368 # Step 3: Temporal denoising loopCOMMENT
LOW⚡LongLive1.0/model/dmd.py118 # Step 3: Compute the DMD gradient (DMD paper eq. 7).COMMENT
LOW⚡LongLive1.0/model/dmd.py123 # Step 4: Gradient normalization (DMD paper eq. 8).COMMENT
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Structural Annotation Overuse142 hits · 209 pts
SeverityFileLineSnippetContext
LOW⚡…_party/LongLive/pipeline/causal_diffusion_inference.py78 # Step 2: Initialize schedulerCOMMENT
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py50 # Step 1: Initialize all modelsCOMMENT
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py243 # Step 1: Initialize KV cache to all zerosCOMMENT
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py277 # Step 2: Cache context featureCOMMENT
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py448 # Step 3: Temporal denoising loopCOMMENT
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py752 # Step 4: Decode the outputCOMMENT
LOW…third_party/LongLive/pipeline/self_forcing_training.py457 # Step 1: Initialize KV cache to all zerosCOMMENT
LOW…third_party/LongLive/pipeline/self_forcing_training.py479 # Step 2: Cache context featureCOMMENT
LOW…third_party/LongLive/pipeline/self_forcing_training.py497 # Step 3: Temporal denoising loopCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/diffusion.py55 # Step 2: Initialize all hyperparametersCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/diffusion.py196 # Step 2: Randomly sample a timestep and add noise to denoiser inputsCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/diffusion.py316 # Step 3: Noise augmentation, also add small noise to clean context latentsCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/diffusion.py391 # Step 5: Store prediction errors into error buffer.COMMENT
LOW⚡Long-WAM/stage1/third_party/LongLive/model/dmd.py498 # Step 5: Debugging LogCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py58 # Step 2: Initialize all dmd hyperparametersCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py109 # Step 1: Compute the fake scoreCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py130 # Step 2: Compute the real scoreCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py149 # Step 3: Compute the DMD gradient (DMD paper eq. 7).COMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py224 # Step 1: Randomly sample timestep based on the given schedule and corresponding noiseCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py258 # Step 2: Compute the KL gradCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py302 # Step 1: Unroll generator to obtain fake videosCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py318 # Step 2: Compute the DMD lossCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py379 # Step 1: Run generator on backward simulated noisy inputCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py421 # Step 2: Compute the fake predictionCOMMENT
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py461 # Step 3: Compute the denoising loss for the fake criticCOMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py1575 # Step 1: Initialize the distributed training environment (rank, seed, dtype, logging etc.)COMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py1804 # Step 2: Initialize the model and optimizerCOMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2009 # Step 3: Initialize the dataloaderCOMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2740 # Step 1: Get the next batch of text promptsCOMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2763 # Step 2: Extract the conditional infosCOMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2796 # Step 3: Train the generatorCOMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2825 # Step 4: Update EMA (if enabled and after start step)COMMENT
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2869 # Step 5: LoggingCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py52 # Step 1: Initialize the distributed training environment (rank, seed, dtype, logging etc.)COMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py90 # Step 2: Initialize the modelCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py417 # Step 3: Set up EMA parameter containersCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py441 # Step 4: Initialize the optimizerCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py458 # Step 5: Initialize the dataloaderCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py542 # Step 6: Initialize the validation dataloader for visualization (fixed prompts)COMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py1011 # Step 1: Get the next batch of text promptsCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py1051 # Step 2: Extract the conditional infosCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py1082 # Step 3: Store gradients for the generator (if training the generator)COMMENT
LOW…/cutlass/epilogue/threadblock/fusion/visitor_store.hpp582 // Step 1: reduce fragment input (Src) into tRS_rSrcCOMMENT
LOW…/cutlass/epilogue/threadblock/fusion/visitor_store.hpp593 // Step 2: copy the partial results in tRS_rSrc to sRows in shared memoryCOMMENT
LOW…/cutlass/epilogue/threadblock/fusion/visitor_store.hpp605 // Step 3: copy the partial results in sRows to tSR_sRow for reductionCOMMENT
LOW…/cutlass/epilogue/threadblock/fusion/visitor_store.hpp619 // Step 4: atomically reduce the results to global memoryCOMMENT
LOW…/cutlass/transform/collective/sm90_wgmma_transpose.hpp347 /// Step 0: Step 1:COMMENT
LOW⚡…/cutlass/transform/collective/sm90_wgmma_transpose.hpp565 /// Step 0: Step 1: Step 2: Step 3:COMMENT
LOW⚡…/cutlass/transform/collective/sm90_wgmma_transpose.hpp575 /// Step 4: Step 5: Step 6: Step 7:COMMENT
LOW⚡LongLive1.0/pipeline/causal_inference.py23 # Step 1: Initialize all modelsCOMMENT
LOW⚡LongLive1.0/pipeline/causal_inference.py31 # Step 2: Initialize all causal hyperparmetersCOMMENT
LOWLongLive1.0/pipeline/causal_inference.py109 # Step 1: Initialize KV cache to all zerosCOMMENT
LOWLongLive1.0/pipeline/causal_inference.py144 # Step 2: Temporal denoising loopCOMMENT
LOWLongLive1.0/pipeline/causal_inference.py219 # Step 3: Decode the outputCOMMENT
LOWLongLive1.0/pipeline/self_forcing_training.py322 # Step 1: Initialize KV cache to all zerosCOMMENT
LOWLongLive1.0/pipeline/self_forcing_training.py351 # Step 2: Cache context featureCOMMENT
LOWLongLive1.0/pipeline/self_forcing_training.py368 # Step 3: Temporal denoising loopCOMMENT
LOW⚡LongLive1.0/model/dmd.py118 # Step 3: Compute the DMD gradient (DMD paper eq. 7).COMMENT
LOW⚡LongLive1.0/model/dmd.py123 # Step 4: Gradient normalization (DMD paper eq. 8).COMMENT
LOW⚡LongLive1.0/model/dmd.py385 # Step 5: Debugging LogCOMMENT
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Excessive Try-Catch Wrapping166 hits · 166 pts
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MEDIUM…_party/LongLive/pipeline/causal_diffusion_inference.py479def _vae_thread_fn():CODE
LOW⚡…_party/LongLive/pipeline/causal_diffusion_inference.py75 except Exception as exc:CODE
LOW⚡…_party/LongLive/pipeline/causal_diffusion_inference.py367 except Exception:CODE
LOW⚡…_party/LongLive/pipeline/causal_diffusion_inference.py372 except Exception:CODE
LOW⚡…_party/LongLive/pipeline/causal_diffusion_inference.py377 except Exception:CODE
LOW⚡…_party/LongLive/pipeline/causal_diffusion_inference.py947 except Exception:CODE
LOW⚡…_party/LongLive/pipeline/causal_diffusion_inference.py957 except Exception:CODE
LOW⚡…_party/LongLive/pipeline/causal_diffusion_inference.py962 except Exception:CODE
LOW⚡…_party/LongLive/pipeline/causal_diffusion_inference.py976 except Exception:CODE
LOW⚡…_party/LongLive/pipeline/causal_diffusion_inference.py985 except Exception:CODE
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py506 except Exception as exc:CODE
LOW⚡…third_party/LongLive/pipeline/self_forcing_training.py359 except Exception:CODE
LOW⚡…third_party/LongLive/pipeline/self_forcing_training.py364 except Exception:CODE
LOW⚡…third_party/LongLive/pipeline/self_forcing_training.py369 except Exception:CODE
LOW⚡…third_party/LongLive/pipeline/self_forcing_training.py392 except Exception:CODE
LOW⚡…third_party/LongLive/pipeline/self_forcing_training.py401 except Exception:CODE
LOW…third_party/LongLive/pipeline/self_forcing_training.py775 except Exception:CODE
LOW…third_party/LongLive/pipeline/self_forcing_training.py784 except Exception:CODE
LOW…age1/third_party/LongLive/utils/torch_compile_utils.py59 except Exception as exc:CODE
LOW…age1/third_party/LongLive/utils/torch_compile_utils.py85 except Exception as exc:CODE
LOW…age1/third_party/LongLive/utils/torch_compile_utils.py122 except Exception as exc:CODE
MEDIUMLong-WAM/stage1/third_party/LongLive/utils/dataset.py594def _read_index_header(self):CODE
MEDIUMLong-WAM/stage1/third_party/LongLive/utils/dataset.py1462def get_numeric_key(path):CODE
LOW⚡Long-WAM/stage1/third_party/LongLive/utils/dataset.py1234 except Exception:CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py800 except Exception:CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py908 except Exception:CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py985 except Exception as exc:CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py1013 except Exception as exc:CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py1253 except Exception:CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py1447 except Exception:CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py1498 except Exception:CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py1999 except Exception as exc:CODE
LOW…age1/third_party/LongLive/utils/lightvae_5b_wrapper.py132 except Exception as exc:CODE
LOW…age1/third_party/LongLive/utils/lightvae_5b_wrapper.py147 except Exception:CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/quant.py292 except Exception:CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/quant.py304 except Exception as copy_exc:CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/quant.py729 except Exception as exc: # pragma: no cover - exercised only when extension is stale/missingCODE
LOW…ge1/third_party/LongLive/wan_5b/utils/prompt_extend.py196 except Exception as e:CODE
LOW…ge1/third_party/LongLive/wan_5b/utils/prompt_extend.py259 except Exception as e:CODE
LOW…-WAM/stage1/third_party/LongLive/wan_5b/utils/utils.py64 except Exception as e:CODE
LOW…-WAM/stage1/third_party/LongLive/wan_5b/utils/utils.py86 except Exception as e:CODE
LOW…rty/LongLive/wan_5b/modules/causal_model_sp_ulysses.py58except Exception:CODE
LOW…tage1/third_party/LongLive/wan_5b/modules/attention.py22except Exception:CODE
LOW…tage1/third_party/LongLive/wan_5b/modules/attention.py47except Exception:CODE
LOW⚡Long-WAM/stage1/third_party/LongLive/model/dmd.py495 except Exception:CODE
LOWLong-WAM/stage1/third_party/LongLive/model/dmd.py345 except Exception:CODE
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py735 except Exception as exc:CODE
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py915 except Exception:CODE
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py1424 except Exception as e:CODE
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py1633 except Exception as exc:CODE
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2514 except Exception as e:CODE
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2568 except Exception as e:CODE
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2898 except Exception:CODE
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py2938 except Exception as exc:CODE
LOW⚡…AM/stage1/third_party/LongLive/trainer/distillation.py1276 except Exception as e:CODE
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py919 except Exception as e:CODE
LOWLong-WAM/src/longwam/trainer.py1388 except Exception:CODE
LOW…AM/src/longwam/datasets/lerobot/robot_video_dataset.py432 except Exception as e:CODE
MEDIUM…AM/src/longwam/datasets/lerobot/robot_video_dataset.py435 print(f"Error processing sample idx {idx}: {e}. Returning a random sample instead.")CODE
MEDIUM…AM/src/longwam/datasets/lerobot/robot_video_dataset.py427def __getitem__(self, idx):CODE
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Deep Nesting196 hits · 166 pts
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LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py415CODE
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py522CODE
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py602CODE
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py798CODE
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py1065CODE
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py210CODE
LOWLong-WAM/tools/data/build_robotwin_episode_manifest.py425CODE
LOWLong-WAM/stage1/runtime/head_sharding.py120CODE
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py178CODE
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py380CODE
LOW…_party/LongLive/pipeline/causal_diffusion_inference.py479CODE
LOW…third_party/LongLive/pipeline/self_forcing_training.py122CODE
LOW…third_party/LongLive/pipeline/self_forcing_training.py420CODE
LOW…g-WAM/stage1/third_party/LongLive/fouroversix/setup.py66CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py661CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py1779CODE
LOW…third_party/LongLive/utils/position_embedding_utils.py66CODE
LOW…-WAM/stage1/third_party/LongLive/utils/error_buffer.py284CODE
LOW…/stage1/third_party/LongLive/utils/nvfp4_checkpoint.py144CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/quant.py487CODE
LOW…ng-WAM/stage1/third_party/LongLive/utils/lora_utils.py29CODE
LOW…stage1/third_party/LongLive/wan_5b/utils/fm_solvers.py425CODE
LOW…stage1/third_party/LongLive/wan_5b/utils/fm_solvers.py496CODE
LOW…-WAM/stage1/third_party/LongLive/wan_5b/utils/utils.py117CODE
LOW…ge1/third_party/LongLive/wan_5b/utils/qwen_vl_utils.py98CODE
LOW…ge1/third_party/LongLive/wan_5b/utils/qwen_vl_utils.py341CODE
LOW…tage1/third_party/LongLive/wan_5b/modules/attention.py95CODE
LOW…M/stage1/third_party/LongLive/wan_5b/modules/vae2_1.py79CODE
LOW…M/stage1/third_party/LongLive/wan_5b/modules/vae2_1.py112CODE
LOW…g-WAM/stage1/third_party/LongLive/wan_5b/modules/t5.py40CODE
LOW…e1/third_party/LongLive/wan_5b/modules/causal_model.py103CODE
LOW…e1/third_party/LongLive/wan_5b/modules/causal_model.py340CODE
LOW…e1/third_party/LongLive/wan_5b/modules/causal_model.py1384CODE
LOW…M/stage1/third_party/LongLive/wan_5b/modules/vae2_2.py84CODE
LOW…M/stage1/third_party/LongLive/wan_5b/modules/vae2_2.py122CODE
LOWLong-WAM/stage1/third_party/LongLive/model/diffusion.py40CODE
LOWLong-WAM/stage1/third_party/LongLive/model/diffusion.py163CODE
LOWLong-WAM/stage1/third_party/LongLive/model/diffusion.py712CODE
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py1394CODE
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py1571CODE
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py3112CODE
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py3511CODE
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py3601CODE
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py48CODE
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py842CODE
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py868CODE
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py1005CODE
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py1163CODE
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py1282CODE
LOWLong-WAM/tests/runtime/test_lerobot_policy.py76CODE
LOWLong-WAM/third_party/fouroversix/setup.py66CODE
LOWLong-WAM/scripts/precompute_text_embeds.py242CODE
LOWLong-WAM/scripts/precompute_text_embeds.py702CODE
LOWLong-WAM/src/longwam/evaluation.py38CODE
LOWLong-WAM/src/longwam/evaluation.py176CODE
LOWLong-WAM/src/longwam/evaluation.py425CODE
LOWLong-WAM/src/longwam/trainer.py569CODE
LOWLong-WAM/src/longwam/trainer.py1053CODE
LOWLong-WAM/src/longwam/trainer.py1471CODE
LOW…-WAM/src/longwam/datasets/lerobot/episode_selection.py136CODE
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AI Structural Patterns132 hits · 128 pts
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LOW…third_party/LongLive/pipeline/self_forcing_training.py28CODE
LOW…rty/LongLive/pipeline/causal_diffusion_inference_sp.py42CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py304CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py1303CODE
LOW…age1/third_party/LongLive/utils/lightvae_5b_wrapper.py171CODE
LOW…-WAM/stage1/third_party/LongLive/utils/error_buffer.py68CODE
LOW…AM/stage1/third_party/LongLive/utils/wan_5b_wrapper.py207CODE
LOW…AM/stage1/third_party/LongLive/utils/wan_5b_wrapper.py232CODE
LOW…AM/stage1/third_party/LongLive/utils/wan_5b_wrapper.py297CODE
LOW…AM/stage1/third_party/LongLive/utils/wan_5b_wrapper.py301CODE
LOW…AM/stage1/third_party/LongLive/utils/wan_5b_wrapper.py512CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/scheduler.py117CODE
LOWLong-WAM/stage1/third_party/LongLive/utils/quant.py595CODE
LOW…/stage1/third_party/LongLive/wan_5b/textimage2video.py47CODE
LOW…/stage1/third_party/LongLive/wan_5b/textimage2video.py173CODE
LOW…/stage1/third_party/LongLive/wan_5b/textimage2video.py250CODE
LOW…/stage1/third_party/LongLive/wan_5b/textimage2video.py424CODE
LOW…g-WAM/stage1/third_party/LongLive/wan_5b/text2video.py44CODE
LOW…g-WAM/stage1/third_party/LongLive/wan_5b/text2video.py214CODE
LOW…-WAM/stage1/third_party/LongLive/wan_5b/image2video.py46CODE
LOW…-WAM/stage1/third_party/LongLive/wan_5b/image2video.py217CODE
LOW…party/LongLive/wan_5b/distributed/sequence_parallel.py391CODE
LOW…stage1/third_party/LongLive/wan_5b/utils/fm_solvers.py144CODE
LOW…/third_party/LongLive/wan_5b/utils/fm_solvers_unipc.py92CODE
LOW…rty/LongLive/wan_5b/modules/causal_model_sp_ulysses.py125CODE
LOW…rty/LongLive/wan_5b/modules/causal_model_sp_ulysses.py354CODE
LOW…rty/LongLive/wan_5b/modules/causal_model_sp_ulysses.py453CODE
LOW…tage1/third_party/LongLive/wan_5b/modules/attention.py95CODE
LOW…tage1/third_party/LongLive/wan_5b/modules/attention.py271CODE
LOW…AM/stage1/third_party/LongLive/wan_5b/modules/model.py336CODE
LOW…e1/third_party/LongLive/wan_5b/modules/causal_model.py340CODE
LOW…e1/third_party/LongLive/wan_5b/modules/causal_model.py842CODE
LOW…e1/third_party/LongLive/wan_5b/modules/causal_model.py987CODE
LOW…M/stage1/third_party/LongLive/wan_5b/modules/vae2_2.py746CODE
LOW…g-WAM/stage1/third_party/LongLive/trainer/diffusion.py1301CODE
LOW…gwam/datasets/lerobot/robocasa_gr1_tabletop_dataset.py633CODE
LOW…AM/src/longwam/datasets/lerobot/robot_video_dataset.py57CODE
LOW…M/src/longwam/datasets/lerobot/base_lerobot_dataset.py636CODE
LOW…M/src/longwam/datasets/lerobot/base_lerobot_dataset.py65CODE
LOW…rc/longwam/datasets/lerobot/lerobot/lerobot_dataset.py412CODE
LOW…rc/longwam/datasets/lerobot/lerobot/lerobot_dataset.py588CODE
LOW…rc/longwam/datasets/lerobot/lerobot/lerobot_dataset.py820CODE
LOW…rc/longwam/datasets/lerobot/lerobot/lerobot_dataset.py1158CODE
LOW…g-WAM/src/longwam/datasets/lerobot/utils/normalizer.py233CODE
LOWLong-WAM/src/longwam/runtime/factory.py93CODE
LOWLong-WAM/src/longwam/runtime/factory.py180CODE
LOWLong-WAM/src/longwam/runtime/factory.py343CODE
LOWLong-WAM/src/longwam/runtime/factory.py477CODE
LOWLong-WAM/src/longwam/utils/pytorch_utils.py121CODE
LOWLong-WAM/src/longwam/models/wan22/longwam_idm.py240CODE
LOWLong-WAM/src/longwam/models/wan22/longwam_idm.py279CODE
LOWLong-WAM/src/longwam/models/wan22/longwam_base.py48CODE
LOWLong-WAM/src/longwam/models/wan22/longwam_base.py141CODE
LOWLong-WAM/src/longwam/models/wan22/longwam_base.py1182CODE
LOWLong-WAM/src/longwam/models/wan22/longwam_base.py1362CODE
LOWLong-WAM/src/longwam/models/wan22/longwam_base.py1729CODE
LOWLong-WAM/src/longwam/models/wan22/longwam_base.py2017CODE
LOWLong-WAM/src/longwam/models/wan22/wan22.py56CODE
LOWLong-WAM/src/longwam/models/wan22/wan22.py284CODE
LOW…WAM/src/longwam/models/wan22/wan_video_text_encoder.py239CODE
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Decorative Section Separators48 hits · 122 pts
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MEDIUM⚡Long-WAM/stage1/third_party/LongLive/utils/dataset.py1187 # ------------------------------------------------------------------COMMENT
MEDIUM⚡Long-WAM/stage1/third_party/LongLive/utils/dataset.py1189 # ------------------------------------------------------------------COMMENT
MEDIUM⚡Long-WAM/stage1/third_party/LongLive/utils/dataset.py1198 # ------------------------------------------------------------------COMMENT
MEDIUM⚡Long-WAM/stage1/third_party/LongLive/utils/dataset.py1200 # ------------------------------------------------------------------COMMENT
MEDIUM⚡Long-WAM/stage1/third_party/LongLive/utils/dataset.py1238 # ------------------------------------------------------------------COMMENT
MEDIUM⚡Long-WAM/stage1/third_party/LongLive/utils/dataset.py1240 # ------------------------------------------------------------------COMMENT
MEDIUM…e1/third_party/LongLive/wan_5b/modules/causal_model.py259 # -------------------------------STRING
MEDIUM…e1/third_party/LongLive/wan_5b/modules/causal_model.py262 # -------------------------------STRING
MEDIUM…e1/third_party/LongLive/wan_5b/modules/causal_model.py277 # -------------------------------STRING
MEDIUM…e1/third_party/LongLive/wan_5b/modules/causal_model.py282 # -------------------------------STRING
MEDIUM…e1/third_party/LongLive/wan_5b/modules/causal_model.py1230 # ==========================================STRING
MEDIUM…e1/third_party/LongLive/wan_5b/modules/causal_model.py1232 # ==========================================STRING
MEDIUM…e1/third_party/LongLive/wan_5b/modules/causal_model.py1244 # ==========================================STRING
MEDIUM…e1/third_party/LongLive/wan_5b/modules/causal_model.py1246 # ==========================================STRING
MEDIUM…e1/third_party/LongLive/wan_5b/modules/causal_model.py1263 # ==========================================STRING
MEDIUM…e1/third_party/LongLive/wan_5b/modules/causal_model.py1265 # ==========================================STRING
MEDIUM…AM/stage1/third_party/LongLive/trainer/distillation.py612 # ----------------------------------------------------------------------------------------------------------COMMENT
MEDIUM…AM/stage1/third_party/LongLive/trainer/distillation.py614 # ----------------------------------------------------------------------------------------------------------COMMENT
MEDIUM…AM/stage1/third_party/LongLive/trainer/distillation.py1343 # --------------------------------------------------------------------------------------------------------------COMMENT
MEDIUM…AM/stage1/third_party/LongLive/trainer/distillation.py1345 # --------------------------------------------------------------------------------------------------------------COMMENT
MEDIUMLongLive1.0/trainer/distillation.py440 # ----------------------------------------------------------------------------------------------------------COMMENT
MEDIUMLongLive1.0/trainer/distillation.py442 # ----------------------------------------------------------------------------------------------------------COMMENT
MEDIUMLongLive1.0/trainer/distillation.py1458 # --------------------------------------------------------------------------------------------------------------COMMENT
MEDIUMLongLive1.0/trainer/distillation.py1460 # --------------------------------------------------------------------------------------------------------------COMMENT
MEDIUM⚡LongLive2.0/utils/dataset.py164 # ------------------------------------------------------------------COMMENT
MEDIUM⚡LongLive2.0/utils/dataset.py166 # ------------------------------------------------------------------COMMENT
MEDIUM⚡LongLive2.0/utils/dataset.py175 # ------------------------------------------------------------------COMMENT
MEDIUM⚡LongLive2.0/utils/dataset.py177 # ------------------------------------------------------------------COMMENT
MEDIUM⚡LongLive2.0/utils/dataset.py215 # ------------------------------------------------------------------COMMENT
MEDIUM⚡LongLive2.0/utils/dataset.py217 # ------------------------------------------------------------------COMMENT
MEDIUMLongLive2.0/wan_5b/modules/causal_model.py246 # -------------------------------STRING
MEDIUMLongLive2.0/wan_5b/modules/causal_model.py249 # -------------------------------STRING
MEDIUMLongLive2.0/wan_5b/modules/causal_model.py264 # -------------------------------STRING
MEDIUMLongLive2.0/wan_5b/modules/causal_model.py269 # -------------------------------STRING
MEDIUMLongLive2.0/wan_5b/modules/causal_model.py1217 # ==========================================STRING
MEDIUMLongLive2.0/wan_5b/modules/causal_model.py1219 # ==========================================STRING
MEDIUMLongLive2.0/wan_5b/modules/causal_model.py1231 # ==========================================STRING
MEDIUMLongLive2.0/wan_5b/modules/causal_model.py1233 # ==========================================STRING
MEDIUMLongLive2.0/wan_5b/modules/causal_model.py1250 # ==========================================STRING
MEDIUMLongLive2.0/wan_5b/modules/causal_model.py1252 # ==========================================STRING
MEDIUMLongLive2.0/trainer/distillation.py600 # ----------------------------------------------------------------------------------------------------------COMMENT
MEDIUMLongLive2.0/trainer/distillation.py602 # ----------------------------------------------------------------------------------------------------------COMMENT
MEDIUMLongLive2.0/trainer/distillation.py1331 # --------------------------------------------------------------------------------------------------------------COMMENT
MEDIUMLongLive2.0/trainer/distillation.py1333 # --------------------------------------------------------------------------------------------------------------COMMENT
MEDIUMLongLive-Plug/trainer/distillation.py671 # ----------------------------------------------------------------------------------------------------------COMMENT
MEDIUMLongLive-Plug/trainer/distillation.py673 # ----------------------------------------------------------------------------------------------------------COMMENT
MEDIUMLongLive-Plug/trainer/distillation.py1838 # --------------------------------------------------------------------------------------------------------------COMMENT
MEDIUMLongLive-Plug/trainer/distillation.py1840 # --------------------------------------------------------------------------------------------------------------COMMENT
Modern Structural Boilerplate108 hits · 110 pts
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LOW…g-WAM/stage1/third_party/LongLive/pipeline/__init__.py13__all__ = [CODE
LOW…party/LongLive/fouroversix/src/fouroversix/__init__.py27__all__ = [CODE
LOW…gLive/fouroversix/src/fouroversix/quantize/__init__.py16__all__ = ["QuantizationConfig", "QuantizedTensor", "get_rht_matrix", "quantize_to_fp4"]CODE
LOW…/fouroversix/src/fouroversix/quantize/cuda/__init__.py13__all__ = ["CUDAQuantizeBackend"]CODE
LOW…ouroversix/src/fouroversix/quantize/triton/__init__.py13__all__ = ["TritonQuantizeBackend"]CODE
LOW…uroversix/src/fouroversix/quantize/pytorch/__init__.py13__all__ = ["PyTorchQuantizeBackend"]CODE
LOW…oversix/src/fouroversix/weight_conversions/__init__.py23__all__ = ["FourOverSixGptOssDeserialize", "GptOssWeightConverter", "WeightConversions"]CODE
LOW…LongLive/fouroversix/src/fouroversix/model/__init__.py15__all__ = [CODE
LOW…/fouroversix/src/fouroversix/model/modules/__init__.py16__all__ = ["FourOverSixGptOssMLP", "FourOverSixLinear"]CODE
LOW…ongLive/fouroversix/src/fouroversix/matmul/__init__.py13__all__ = ["fp4_matmul"]CODE
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LOW…-WAM/stage1/third_party/LongLive/utils/nvfp4_kernel.py32__all__ = ["fp4_dequantize", "static_blockwise_fp4_fake_quant"]CODE
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Dead Code48 hits · 88 pts
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Docstring Block Structure7 hits · 35 pts
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HIGH…-WAM/stage1/third_party/LongLive/wan_5b/utils/utils.py91 Convert a string to a boolean. Supported true values: 'yes', 'true', 't', 'y', '1' Supported false values:STRING
HIGH…ge1/third_party/LongLive/wan_5b/utils/qwen_vl_utils.py151calculate the number of frames for video used for model inputs. Args: ele (dict): a dict contains the confiSTRING
HIGH…src/longwam/datasets/lerobot/lerobot/datasets/utils.py598 This check is to make sure that each timestamp is separated from the next by (1/fps) +/- tolerance to account fSTRING
HIGHLongLive1.0/wan/utils/utils.py95 Convert a string to a boolean. Supported true values: 'yes', 'true', 't', 'y', '1' Supported false values:STRING
HIGHLongLive1.0/wan/utils/qwen_vl_utils.py138calculate the number of frames for video used for model inputs. Args: ele (dict): a dict contains the confiSTRING
HIGHLongLive2.0/wan_5b/utils/utils.py80 Convert a string to a boolean. Supported true values: 'yes', 'true', 't', 'y', '1' Supported false values:STRING
HIGHLongLive2.0/wan_5b/utils/qwen_vl_utils.py138calculate the number of frames for video used for model inputs. Args: ele (dict): a dict contains the confiSTRING
Self-Referential Comments8 hits · 26 pts
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MEDIUM⚡…AM/stage1/third_party/LongLive/trainer/distillation.py1287 # Define the specific modules we want to apply LoRA toCOMMENT
MEDIUM…WAM/src/longwam/benchmarks/libero/summarize_results.py83 # Create the task identifier (suite_taskid)COMMENT
MEDIUM…WAM/src/longwam/benchmarks/libero/summarize_results.py219 # Create the per-task success-rate CSVCOMMENT
MEDIUMLongLive1.0/pipeline/streaming_switch_training.py284 # Create an appropriate BlockMask for recomputationCOMMENT
MEDIUMLongLive1.0/utils/lora_utils.py34 # Define the specific modules we want to apply LoRA toCOMMENT
MEDIUMLongLive1.0/wan/modules/causal_model_infinity.py292 # Create a grid_sizes for the cached KSTRING
MEDIUM⚡LongLive1.0/trainer/distillation.py1403 # Define the specific modules we want to apply LoRA toCOMMENT
MEDIUM⚡LongLive2.0/trainer/distillation.py1275 # Define the specific modules we want to apply LoRA toCOMMENT
Redundant / Tautological Comments11 hits · 14 pts
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LOWLong-WAM/stage1/third_party/LongLive/utils/dataset.py1502 # Check if we have enough frames for all segmentsCOMMENT
LOW…AM/stage1/third_party/LongLive/trainer/distillation.py1167 # Check if we should train generator on this optimization stepCOMMENT
LOW…ngwam/datasets/lerobot/lerobot/datasets/video_utils.py446 # Check if ffmpeg is availableCOMMENT
LOW…src/longwam/datasets/lerobot/lerobot/datasets/utils.py633 # Check if all remaining diffs are within toleranceCOMMENT
LOWLongLive1.0/model/streaming_training.py139 # Check if the model supports switching (DMDSwitch)COMMENT
LOWLongLive1.0/model/streaming_training.py160 # Check if the switch point falls within the current chunk range [chunk_start_frame, chunk_start_frame + chunk_sCOMMENT
LOWLongLive1.0/model/streaming_training.py438 # Check if previous_frames can be used for overlap and auto-compute overlap frame countCOMMENT
LOWLongLive1.0/trainer/distillation.py1176 # Check if we should train generator on this optimization stepCOMMENT
LOWLongLive2.0/utils/dataset.py589 # Check if we have enough frames for all segmentsCOMMENT
LOWLongLive2.0/trainer/distillation.py1155 # Check if we should train generator on this optimization stepCOMMENT
LOWLongLive-Plug/trainer/distillation.py1528 # Check if we should train generator on this optimization stepCOMMENT
Hallucination Indicators1 hit · 10 pts
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CRITICAL…ive2.0/fouroversix/scripts/ptq/evaluators/spinquant.py230 model.lm_head.weight.data = model.model.embed_tokens.weight.data.clone()CODE
Modern AI Meta-Vocabulary4 hits · 9 pts
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MEDIUMLong-WAM/README.md104- [Agentic API + Long-WAM](#agentic-api--long-wam)CODE
MEDIUMLong-WAM/README.md329The [Agentic experiment](#agentic-api--long-wam) uses a separate protocol.CODE
MEDIUMLong-WAM/configs/eval/robocasa365.yaml28split: pretrain # Human300 zero-shot Target50 protocol; target is a different split.CODE
MEDIUMLong-WAM/configs/eval/robocasa365_gpt6.yaml20# Compatibility recipe. Prefer robocasa365_agentic.yaml and agentic.* overrides.COMMENT
Fake / Example Data6 hits · 6 pts
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LOWLong-WAM/stage1/third_party/LongLive/model/base.py62 self.fake_model_name = getattr(args, "fake_name", "Wan2.2-TI2V-5B")CODE
LOWLongLive1.0/configs/longlive_train_init.yaml7fake_name: Wan2.1-T2V-1.3BCODE
LOWLongLive1.0/configs/longlive_train_long.yaml7fake_name: Wan2.1-T2V-1.3BCODE
LOWLongLive1.0/model/base.py31 self.fake_model_name = getattr(args, "fake_name", "Wan2.1-T2V-1.3B")CODE
LOWLongLive2.0/model/base.py51 self.fake_model_name = getattr(args, "fake_name", "Wan2.2-TI2V-5B")CODE
LOWLongLive-Plug/model/base.py34 self.fake_model_name = getattr(args, "fake_name", model_name)CODE
AI Slop Vocabulary2 hits · 4 pts
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MEDIUM…ss/include/cutlass/gemm/kernel/tile_scheduler_params.h920 // the problem can leverage a basic split-K decomposition for the stream-K tiles.COMMENT
MEDIUM…rc/longwam/datasets/lerobot/lerobot/lerobot_dataset.py1173 """Create a LeRobot Dataset from scratch in order to record data."""STRING