Repository Analysis

zhaochenyang20/Awesome-ML-SYS-Tutorial

My learning notes for ML SYS.

5.8 Low AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of zhaochenyang20/Awesome-ML-SYS-Tutorial, a HTML project with 6,806 GitHub stars. SynthScan v2.0 examined 60,467 lines of code across 193 source files, recording 175 pattern matches distributed across 10 syntactic categories. The overall adjusted score of 5.8 places this repository in the Low AI signal band.

The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).

5.8
Adjusted Score
5.8
Raw Score
100%
Time Factor
2026-08-01
Last Push
6.8K
Stars
HTML
Language
60.5K
Lines of Code
193
Files
175
Pattern Hits
2026-08-02
Scan Date
0.09
HC Hit Rate

What These Metrics Mean

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

Score History

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

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

Severity Breakdown

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

CRITICAL 2HIGH 16MEDIUM 15LOW 142

Directory Score Breakdown

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

Pattern Findings

The scanner identified 175 distinct pattern matches across 10 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

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

Structural Annotation Overuse46 hits · 89 pts
SeverityFileLineSnippetContext
LOW.claude/commands/learn-review.md16### Step 1: 加载上下文COMMENT
LOW.claude/commands/learn-review.md22### Step 2: 分析输入COMMENT
LOW.claude/commands/learn-review.md31### Step 3: 内容检查COMMENT
LOW.claude/commands/learn-review.md147### Step 4: 输出检查报告COMMENT
LOW.claude/commands/learn-review.md187### Step 5: 翻译(需用户明确授权)COMMENT
LOW.claude/commands/learn-plan.md17### Step 1: 加载上下文COMMENT
LOW.claude/commands/learn-plan.md23### Step 2: 分析输入COMMENT
LOW.claude/commands/learn-plan.md33### Step 3: 定位知识关系COMMENT
LOW.claude/commands/learn-plan.md41### Step 4: 广泛视野搜索COMMENT
LOW.claude/commands/learn-plan.md48### Step 5: 识别驱动问题COMMENT
LOW.claude/commands/learn-plan.md55### Step 6: 生成学习大纲COMMENT
LOW.claude/commands/learn-plan.md140### Step 7: 草稿分析(如有草稿输入)COMMENT
LOW.claude/commands/learn-plan.md158### Step 8: 保存输出COMMENT
LOW.claude/commands/learn-add.md13### Step 1: 加载上下文COMMENT
LOW.claude/commands/learn-add.md18### Step 2: 解析输入COMMENT
LOW.claude/commands/learn-add.md32### Step 3: 提取元信息COMMENT
LOW.claude/commands/learn-add.md72### Step 4: 更新 referenced_byCOMMENT
LOW.claude/commands/learn-add.md77### Step 5: 更新系列信息COMMENT
LOW.claude/commands/learn-add.md84### Step 6: 确认并保存COMMENT
LOW.claude/commands/learn-write.md32### Step 1: 加载上下文COMMENT
LOW.claude/commands/learn-write.md39### Step 2: 分析输入COMMENT
LOW.claude/commands/learn-write.md53### Step 3: 源码与资源准备COMMENT
LOW.claude/commands/learn-write.md64### Step 4: 写作COMMENT
LOW.claude/commands/learn-write.md160### Step 5: 四维度自动检查COMMENT
LOW.claude/commands/learn-write.md209### Step 6: 保存输出COMMENT
LOWtorch/cuda-graph/readme-2-en.md183# Step 1: 暂时禁用 CUDA GraphCOMMENT
LOWtorch/cuda-graph/readme-2-en.md187# Step 2: 初始化 ModelWorker(此时不 capture graph)COMMENT
LOWtorch/cuda-graph/readme-2-en.md190# Step 3: BF16 精度修正COMMENT
LOWtorch/cuda-graph/readme-2-en.md193# Step 4: 预分配 fast head 的 static KV cacheCOMMENT
LOWtorch/cuda-graph/readme-2-en.md196# Step 5: 分配 persistent buffers + 挂载 audio decoderCOMMENT
LOWtorch/cuda-graph/readme-2-en.md199# Step 6: 此时 capture graph——包含完整的 forward + _decode_codebooksCOMMENT
LOWtorch/cuda-graph/readme_en.md73 // Step 1: Create physical memory of the specified size on the specified GPU deviceCOMMENT
LOWtorch/cuda-graph/readme_en.md77 // Step 2: Reserve a contiguous address range in the GPU's virtual address spaceCOMMENT
LOWtorch/cuda-graph/readme_en.md81 // Step 3: Map physical memory to the previously reserved virtual address spaceCOMMENT
LOWtorch/cuda-graph/readme_en.md92 // Step 4: Record memory allocation information in the metadata mapCOMMENT
LOWtorch/cuda-graph/readme-2.md183# Step 1: 暂时禁用 CUDA GraphCOMMENT
LOWtorch/cuda-graph/readme-2.md187# Step 2: 初始化 ModelWorker(此时不 capture graph)COMMENT
LOWtorch/cuda-graph/readme-2.md190# Step 3: BF16 精度修正COMMENT
LOWtorch/cuda-graph/readme-2.md193# Step 4: 预分配 fast head 的 static KV cacheCOMMENT
LOWtorch/cuda-graph/readme-2.md196# Step 5: 分配 persistent buffers + 挂载 audio decoderCOMMENT
LOWtorch/cuda-graph/readme-2.md199# Step 6: 此时 capture graph——包含完整的 forward + _decode_codebooksCOMMENT
LOW…fast_tokenization/verRL-multiturn-fast-tokenization.md24### Step 1: Download GSM8K DatasetCOMMENT
LOW…fast_tokenization/verRL-multiturn-fast-tokenization.md33### Step 2: Validate Multi-Turn Rollout for Qwen2.5-3BCOMMENT
LOW…fast_tokenization/verRL-multiturn-fast-tokenization.md49### Step 3: Validate Multi-Turn Rollout for Qwen3-4BCOMMENT
LOWsglang/light-duoattention/light-duoattention.md88# Step 3: Apply masking rules using direct, absolute positionsCOMMENT
LOWsglang/light-duoattention/light-duoattention.md115# Step 4: Apply the mask if neededCOMMENT
Cross-File Repetition16 hits · 80 pts
SeverityFileLineSnippetContext
HIGHrlhf/slime/code-walk-through/readme.md0create placement groups for actor and rollout engines.STRING
HIGHrlhf/slime/code-walk-through/readme_en.md0create placement groups for actor and rollout engines.STRING
HIGHrlhf/slime/code-walk-through/original/part-2.md0create placement groups for actor and rollout engines.STRING
HIGHrlhf/slime/code-walk-through/readme.md0convert inference generated samples to training data.STRING
HIGHrlhf/slime/code-walk-through/readme_en.md0convert inference generated samples to training data.STRING
HIGHrlhf/slime/code-walk-through/original/part-4.md0convert inference generated samples to training data.STRING
HIGHrlhf/slime/code-walk-through/readme.md0an example to implement the generate_rollout function for an rule based rm rollout generation. args: args: the whole argSTRING
HIGHrlhf/slime/code-walk-through/readme_en.md0an example to implement the generate_rollout function for an rule based rm rollout generation. args: args: the whole argSTRING
HIGHrlhf/slime/code-walk-through/original/part-5.md0an example to implement the generate_rollout function for an rule based rm rollout generation. args: args: the whole argSTRING
HIGHrlhf/verl/multi-turn/tool_examples/profile_en.md0synchronized sglang rollout engine. args: actor_module: huggingface model name or path to the model. the model should beSTRING
HIGHrlhf/verl/multi-turn/tool_examples/profile.md0synchronized sglang rollout engine. args: actor_module: huggingface model name or path to the model. the model should beSTRING
HIGHrlhf/verl/multi-turn/code-walk-through/readme.md0synchronized sglang rollout engine. args: actor_module: huggingface model name or path to the model. the model should beSTRING
HIGHrlhf/verl/multi-turn/code-walk-through/readme_EN.md0synchronized sglang rollout engine. args: actor_module: huggingface model name or path to the model. the model should beSTRING
HIGHsglang/online-update-weights/readme.md0broadcast weight to all vllm workers from source rank 0 (actor model)STRING
HIGHsglang/sglang-worker/readme.md0broadcast weight to all vllm workers from source rank 0 (actor model)STRING
HIGHsglang/sglang-worker/readme-CN.md0broadcast weight to all vllm workers from source rank 0 (actor model)STRING
Decorative Section Separators14 hits · 63 pts
SeverityFileLineSnippetContext
MEDIUMrlhf/OpenRLHF/readme.md63 # ---------------------------------------------------------------------------------------------------COMMENT
MEDIUMrlhf/OpenRLHF/readme.md67 # ---------------------------------------------------------------------------------------------------COMMENT
MEDIUMrlhf/OpenRLHF/readme.md69 # ---------------------------------------------------------------------------------------------------COMMENT
MEDIUMrlhf/OpenRLHF/readme.md73 # ---------------------------------------------------------------------------------------------------COMMENT
MEDIUMrlhf/OpenRLHF/readme.md75 # ---------------------------------------------------------------------------------------------------COMMENT
MEDIUMrlhf/OpenRLHF/readme.md77 # ---------------------------------------------------------------------------------------------------COMMENT
MEDIUMrlhf/OpenRLHF/readme.md184 # -------------------------------------------------------------------------------------COMMENT
MEDIUMrlhf/OpenRLHF/readme.md186 # -------------------------------------------------------------------------------------COMMENT
MEDIUMrlhf/OpenRLHF/readme.md189 # -------------------------------------------------------------------------------------COMMENT
MEDIUMrlhf/OpenRLHF/readme.md191 # -------------------------------------------------------------------------------------COMMENT
MEDIUMrlhf/OpenRLHF/readme.md267# --------------------------------------------------------------COMMENT
MEDIUMrlhf/OpenRLHF/readme.md269# --------------------------------------------------------------COMMENT
MEDIUMrlhf/OpenRLHF/readme.md272# --------------------------------------------------------------COMMENT
MEDIUMrlhf/OpenRLHF/readme.md274# --------------------------------------------------------------COMMENT
Hyper-Verbose Identifiers60 hits · 60 pts
SeverityFileLineSnippetContext
LOWrlhf/OpenRLHF/readme.md109 def get_advantages_and_returns(self, values, rewards, start):CODE
LOWrlhf/sys-design/readme-1.md16def _preprocess_tensor_for_update_weights(tensor: torch.Tensor):CODE
LOWrlhf/sys-design/readme-1.md72def _preprocess_tensor_for_update_weights(tensor: torch.Tensor):CODE
LOWrlhf/sys-design/readme-1.md213def update_weights_from_tensor(CODE
LOWrlhf/sys-design/readme-1.md280def update_weights_from_tensor(self):CODE
LOWrlhf/sys-design/readme-1.md376def _update_converted_params_from_tensor(self, converted_named_tensors):CODE
LOWrlhf/sys-design/readme-1-EN.md16def _preprocess_tensor_for_update_weights(tensor: torch.Tensor):CODE
LOWrlhf/sys-design/readme-1-EN.md71def _preprocess_tensor_for_update_weights(tensor: torch.Tensor):CODE
LOWrlhf/sys-design/readme-1-EN.md212def update_weights_from_tensor(CODE
LOWrlhf/sys-design/readme-1-EN.md279def update_weights_from_tensor(self):CODE
LOWrlhf/sys-design/readme-1-EN.md375def _update_converted_params_from_tensor(self, converted_named_tensors):CODE
LOWrlhf/slime/code-walk-through/readme.md193def _get_current_node_ip_and_free_port(start_port=10000, consecutive=1):CODE
LOWrlhf/slime/code-walk-through/readme.md804def _convert_samples_to_train_data(self, samples: Union[list[Sample], list[list[Sample]]]):CODE
LOWrlhf/slime/code-walk-through/readme.md900def generate_abortable_samples(args, rollout_id, data_source, evaluation=False):CODE
LOWrlhf/slime/code-walk-through/readme_en.md190def _get_current_node_ip_and_free_port(start_port=10000, consecutive=1):CODE
LOWrlhf/slime/code-walk-through/readme_en.md799def _convert_samples_to_train_data(self, samples: Union[list[Sample], list[list[Sample]]]):CODE
LOWrlhf/slime/code-walk-through/readme_en.md895def generate_abortable_samples(args, rollout_id, data_source, evaluation=False):CODE
LOWrlhf/slime/code-walk-through/original/part-4.md306def _convert_samples_to_train_data(self, samples: Union[list[Sample], list[list[Sample]]]):CODE
LOWrlhf/slime/code-walk-through/original/part-2.md153def _get_current_node_ip_and_free_port(start_port=10000, consecutive=1):CODE
LOWrlhf/verl/multi-turn/tool_examples/profile.md342async def process_request_with_monitoring(req):CODE
LOWrlhf/verl/multi-turn/code-walk-through/readme-2-EN.md754def _req_level_generate_sequences(self, prompts: DataProto, **kwargs) -> DataProto:CODE
LOWrlhf/verl/multi-turn/code-walk-through/readme-2-EN.md1026    def _req_level_generate_sequences(self, prompts: DataProto, **kwargs) -> DataProto:CODE
LOWrlhf/verl/multi-turn/code-walk-through/readme-2-EN.md1178def _preprocess_prompt_to_async_rollout_requests(self, prompts: DataProto, n: int) -> list[AsyncRolloutRequest]:CODE
LOWrlhf/verl/multi-turn/code-walk-through/readme-2-EN.md1404    async def calc_reward_and_release_fn(name: str, tool: BaseTool):CODE
LOWrlhf/verl/multi-turn/code-walk-through/readme.md983 async def release_memory_occupation(self):CODE
LOWrlhf/verl/multi-turn/code-walk-through/readme.md991 async def update_weights_from_tensor(CODE
LOWrlhf/verl/multi-turn/code-walk-through/readme_EN.md1048 async def release_memory_occupation(self):CODE
LOWrlhf/verl/multi-turn/code-walk-through/readme_EN.md1056 async def update_weights_from_tensor(CODE
LOWrlhf/verl/multi-turn/code-walk-through/readme-2.md766def _req_level_generate_sequences(self, prompts: DataProto, **kwargs) -> DataProto:CODE
LOWrlhf/verl/multi-turn/code-walk-through/readme-2.md1038 def _req_level_generate_sequences(self, prompts: DataProto, **kwargs) -> DataProto:CODE
LOWrlhf/verl/multi-turn/code-walk-through/readme-2.md1190def _preprocess_prompt_to_async_rollout_requests(self, prompts: DataProto, n: int) -> list[AsyncRolloutRequest]:CODE
LOWrlhf/verl/multi-turn/code-walk-through/readme-2.md1415 async def calc_reward_and_release_fn(name: str, tool: BaseTool):CODE
LOWrlhf/verl/multi-turn/release_log/over_sample.md96async def process_request_with_monitoring(req):CODE
LOWrlhf/verl/server-based/veRL-server-based-rollout.md35def launch_server_from_verl_engine(CODE
LOWrlhf/areal/code-walk-through_CN.md901def _broadcast_and_redistribute_batch(CODE
LOWrlhf/areal/code-walk-through_CN.md951def split_padded_tensor_dict_into_mb_list(CODE
LOWrlhf/areal/code-walk-through_EN.md958def _broadcast_and_redistribute_batch(CODE
LOWrlhf/areal/code-walk-through_EN.md1008def split_padded_tensor_dict_into_mb_list(CODE
LOWsglang/sglang-verl-engine/readme.md8 def update_weights_from_tensor(CODE
LOWsglang/sglang-worker/readme.md81def determine_num_available_blocks(self) -> Tuple[int, int] # Determine available KV cache blocksCODE
LOWsglang/sglang-worker/readme.md82def get_cache_block_size_bytes(self) -> int # Get cache block sizeCODE
LOWsglang/sglang-worker/readme-CN.md82def determine_num_available_blocks(self) -> Tuple[int, int] # 确定可用的 KV cache 块数CODE
LOWsglang/sglang-worker/readme-CN.md83def get_cache_block_size_bytes(self) -> int # 获取缓存块大小CODE
LOWsglang/quantization/quantization_architecture_en.md204def process_weights_after_loading(self, layer: Module) -> None:CODE
LOWsglang/quantization/quantization_architecture.md204def process_weights_after_loading(self, layer: Module) -> None:CODE
LOWsglang/latency-accelerate-for-weight-updates/readme.md324 def test_init_parameter_update_group(cls):CODE
LOWsglang/latency-accelerate-for-weight-updates/readme.md421 def update_parameter_from_distributed(self, name, dtype, shape, empty_cache=False):CODE
LOWsglang/latency-accelerate-for-weight-updates/readme.md492 def update_parameter_from_distributed(self, name, dtype, shape, empty_cache=False):CODE
LOWsglang/latency-accelerate-for-weight-updates/readme.md931 def test_parameter_update_latency(self):CODE
LOWsglang/latency-accelerate-for-weight-updates/readme.md1012async def update_parameter_from_distributed(CODE
LOW…ang/latency-accelerate-for-weight-updates/readme-CN.md323 def test_init_parameter_update_group(cls):CODE
LOW…ang/latency-accelerate-for-weight-updates/readme-CN.md421 def update_parameter_from_distributed(self, name, dtype, shape, empty_cache=False):CODE
LOW…ang/latency-accelerate-for-weight-updates/readme-CN.md492 def update_parameter_from_distributed(self, name, dtype, shape, empty_cache=False):CODE
LOW…ang/latency-accelerate-for-weight-updates/readme-CN.md932 def test_parameter_update_latency(self):CODE
LOW…ang/latency-accelerate-for-weight-updates/readme-CN.md1013async def update_parameter_from_distributed(CODE
LOWsglang/sglang-omni/README.md924def _inject_multimodal_embeds(CODE
LOWsglang/tiny-llm/day1.md12def scaled_dot_product_attention_simple(CODE
LOWsglang/dp-attention/readme.md172def launch_tensor_parallel_process(CODE
LOWsglang/scheduler-evolution/SGLang Scheduler 技术变迁.md52 def process_batch_result_decode(CODE
LOW…lang/scheduler-evolution/SGLang Scheduler Evolution.md639 def process_batch_result_decode(CODE
Excessive Try-Catch Wrapping29 hits · 31 pts
SeverityFileLineSnippetContext
LOWtorch/mem-snapshot/readme.md257 except Exception:CODE
LOWtorch/mem-snapshot/readme.md328 except Exception as e:CODE
LOWtorch/mem-snapshot/readme-en.md258 except Exception:CODE
LOWtorch/mem-snapshot/readme-en.md329 except Exception as e:CODE
LOWrlhf/verl/multi-turn/tool_examples/profile.md369 except Exception as e:CODE
LOWrlhf/verl/multi-turn/code-walk-through/readme-6.md198 except Exception:CODE
LOWrlhf/verl/multi-turn/code-walk-through/readme-6.md813 except Exception as e:CODE
LOWrlhf/verl/multi-turn/release_log/over_sample.md138 except Exception as e:CODE
LOWrlhf/verl/multi-turn/release_log/over_sample.md156 except Exception as e:CODE
LOWrlhf/areal/code-walk-through_CN.md610 except Exception as e:CODE
LOWrlhf/areal/code-walk-through_CN.md680 except Exception as e:CODE
LOWrlhf/areal/code-walk-through_EN.md665 except Exception as e:CODE
LOWrlhf/areal/code-walk-through_EN.md735 except Exception as e:CODE
LOWsglang/online-update-weights/readme.md46 except Exception as e:CODE
LOWsglang/online-update-weights/readme.md82 except Exception as e:CODE
LOWsglang/online-update-weights/readme.md87 except Exception as e:CODE
LOWsglang/latency-accelerate-for-weight-updates/readme.md356 except Exception as e:CODE
LOWsglang/latency-accelerate-for-weight-updates/readme.md451 except Exception as e:CODE
LOWsglang/latency-accelerate-for-weight-updates/readme.md543 except Exception as e:CODE
LOWsglang/latency-accelerate-for-weight-updates/readme.md956 except Exception as e:CODE
LOW…ang/latency-accelerate-for-weight-updates/readme-CN.md355 except Exception as e:CODE
LOW…ang/latency-accelerate-for-weight-updates/readme-CN.md451 except Exception as e:CODE
LOW…ang/latency-accelerate-for-weight-updates/readme-CN.md543 except Exception as e:CODE
LOW…ang/latency-accelerate-for-weight-updates/readme-CN.md957 except Exception as e:CODE
LOWsglang/sglang-omni/README.md803except Exception as e:CODE
LOWsglang/sglang-omni/README.md808 except Exception:CODE
LOWsglang/sglang-omni/README.md814except Exception:CODE
LOWsglang/sglang-omni/README.md821except Exception:CODE
LOWsglang/sglang-omni/README.md935except Exception:CODE
Hallucination Indicators2 hits · 20 pts
SeverityFileLineSnippetContext
CRITICALrlhf/OpenRLHF/develop-log.md632 return self.llm.llm_engine.model_executor.driver_worker.init_process_group(CODE
CRITICALrlhf/OpenRLHF/develop-log.md652 return self.llm.llm_engine.model_executor.driver_worker.update_weight(name, dtype, shape, empty_cache)CODE
Over-Commented Block3 hits · 3 pts
SeverityFileLineSnippetContext
LOWrlhf/OpenRLHF/readme.md61 kl_divergence_estimate = -self.kl_ctl * (log_probs - ref_log_probs)COMMENT
LOWrlhf/sys-design/readme-3.md241 # b: 批次大小 (batch size)COMMENT
LOWrlhf/sys-design/readme-3.md301 dim=3)COMMENT
TODO Padding2 hits · 3 pts
SeverityFileLineSnippetContext
LOWrlhf/verl/multi-turn/code-walk-through/readme-2-EN.md689            # TODO: implement actual tflpo and theoretical tflpoCOMMENT
LOWrlhf/verl/multi-turn/code-walk-through/readme-2.md701 # TODO: implement actual tflpo and theoretical tflpoCOMMENT
Deep Nesting2 hits · 2 pts
SeverityFileLineSnippetContext
LOWtorch/torch-distributed/codes/send-recv-sync.py6CODE
LOWtorch/torch-distributed/codes/send-recv-async.py7CODE
Modern AI Meta-Vocabulary1 hit · 2 pts
SeverityFileLineSnippetContext
MEDIUMsglang/sglang-omni/cosmos3_omni_deep_dive.html668 <text x="90" y="510" class="da" fill="#B87514">CommEngine / relay 是这一层的组件 —— 不是 ModelRunner 之上的 orchestration 层</tCODE