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Adapt Rotation: Adaptive Rotation Optimization Algorithm
AWQ: Activation-aware Weight Quantization Algorithm
Flex AWQ SSZ: Flexible Activation-Aware Weight Quantization Smoothing Algorithm
Flex Smooth Quant: Flexible Smooth Quantization Algorithm
Iterative Smooth: Outlier Suppression Algorithm
KVSmooth: Outlier Suppression Algorithm for KVCache Quantization
QuaRot: Rotation-based Outlier Suppression Algorithm
SmoothQuant: Outlier Suppression Algorithm
quantization_algorithms
quantization_algorithms
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FA3 Quantization: Flash Attention 3 Activation Quantization Algorithm
Floating-Point Sparsity: ADMM-based Model Sparsification Algorithm
GPTQ: Weight Quantization Algorithm
Histogram: Activation Quantization Algorithm
KVCache Quantization: Cache Quantization Algorithm
LAOS: W4A4 Quantization Scheme
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appendix
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Contributing to Mindstudio ModelSlim
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msModelSlim量化权重转AutoAWQ&AutoGPTQ使用指南
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加速库场景下W8A8量化权重的使用案例
Qwen3-32B W8A8精度调优案例
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msModelSlim 丰富量化模型支持特性设计说明书
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quick_quantization_v1
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一键量化生成结果
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压缩与结构优化（大模型为主）
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MindSpeed适配器
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稀疏加速训练
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model_support
model_support
大模型支持矩阵
python_api_v0
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distillation_apis
distillation_apis
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KnowledgeDistillConfig
addcustomlossfunc
addintersoftlabel
addoutputsoftlabel
sethardlabel
setteachertrain
getdistillmodel
foundation_model_compression_apis
foundation_model_compression_apis
foundation_model_quantization_apis
foundation_model_quantization_apis
AntiOutlier
AntiOutlierConfig
CalibrationData
FakeQuantizeCalibrator
LayerSelector
AntiOutlierAdapter
CalibratorAdapter
ModelAdapter
process()
Calibrator
QuantConfig
run()
save()
process()
Calibrator
FAQuantizer
quant()
QuantConfig
run()
save()
foundation_model_sparsification_apis
foundation_model_sparsification_apis
compress()
Compressor
SparseConfig
long_sequence_compression_apis
long_sequence_compression_apis
getalibiwindows
getcompressheads
RACompressConfig
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RARopeCompressConfig
RARopeCompressor
weight_compress_apis
weight_compress_apis
CompressConfig
Compressor
export()
exportsafetensors()
run()
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low_rank_decompression_apis
Decompose
Decompose
init
decomposenetwork
fromdict
fromfile
fromfixed
fromratio
fromvbmf
countparameters
multimodal_inference_apis
multimodal_inference_apis
DitCache
DitCache
DitCacheAdaptor: DiT模型缓存适配器
DitCacheSearchConfig
sampling_optimization_apis
sampling_optimization_apis
ReStepAdaptor
ReStepSearchConfig
pruning_apis
pruning_apis
PruneConfig
PruneConfig
addblocksparams
setsteps
PruneTorch
PruneTorch
init
analysis
prune
prunebydesc
setimportanceevaluationfunction
setnodereservedratio
prunemodelweight
quantization_apis
quantization_apis
[mindspore]post_training_quantization
[mindspore]post_training_quantization
createquantconfig
quantizemodel
savemodel
[onnx]post_training_quantization
[onnx]post_training_quantization
exportquantonnx
OnnxCalibrator
preprocessfunccoco
preprocessfuncimagenet
QuantConfig
QuantConfig
run()
runquantize
[pytorch]post_training_quantization
[pytorch]post_training_quantization
Calibrator
exportparam
exportquantonnx
exportquantsafetensor()
getquantparams
QuantConfig
quantization_aware_training
quantization_aware_training
QatConfig
qsinqat
saveqsinqatmodel
sparse_acceleration_training_apis
sparse_acceleration_training_apis
sparsemodeldepth
sparsemodelwidth
unified_multimodal_generation_apis
unified_multimodal_generation_apis
quantmodel()
量化会话配置
settimestepidx()
公共接口
quantization_algorithms
quantization_algorithms
auto_tuning_strategies
auto_tuning_strategies
Standing High 调优算法
Standing High With Experience 调优算法
outlier_suppression_algorithms
outlier_suppression_algorithms
Adapt Rotation：自适应旋转优化算法说明
AWQ：激活感知权重量化算法说明
Flex AWQ SSZ：灵活激活感知权重量化平滑算法说明
Flex Smooth Quant：灵活平滑量化算法说明
Iterative Smooth：离群值抑制算法说明
KVSmooth：KVCache量化离群值抑制算法说明
QuaRot：基于旋转的离群值抑制算法说明
SmoothQuant：离群值抑制算法说明
quantization_algorithms
quantization_algorithms
AutoRound：低比特量化算法说明
CeilX：自适应除数 MXFP4 权重量化算法说明
FA3量化：Flash Attention 3激活量化算法说明
浮点稀疏：基于 ADMM （Alternating Direction Method of Multipliers，交替方向乘子法）的模型稀疏化算法说明
FouroverSix：自适应块缩放权重量化算法说明
GPTQ：权重量化算法说明
Histogram：直方图激活值量化算法说明
KVCache量化：缓存量化算法说明
LAOS：w4a4量化方案说明
线性量化算法说明
MinMax：最小最大值量化算法说明
PDMIX：激活值阶段间混合量化算法说明
SSZ：权重量化算法说明
sensitive_layer_analysis
sensitive_layer_analysis
Attention MSE（mse）：敏感层分析算法说明
Kurtosis：敏感层分析算法说明
层级 MSE（mselayerwise）：敏感层分析算法说明
模型级 MSE（msemodelwise）：敏感层分析算法说明
Quantile：敏感层分析算法说明
Std：敏感层分析算法说明
quantization_formats
quantization_formats
AscendV1 格式说明
compressed-tensors 格式说明
项目目录结构总览
msmonitor
msmonitor
docs
docs
en
en
Project Directory
dyno
dynolog
FAQ
msMonitor Installation Guide
Using msMonitor in MindSpore
mindstudiomonitor Interfaces
MindStudio Vulnerability Handling Mechanism Description
Monitor
npu-monitor
nputrace
Public Network Addresses
msMonitor Security Statement
zh
zh
advanced_features
advanced_features
mindstudiomonitor模块接口参考
Monitor 特性介绍
best_practices
best_practices
msMonitor 使用案例
contributing
contributing
为MindStudio Monitor贡献
design
design
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development_guide
development_guide
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install_guide
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legal
legal
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公网地址
msMonitor安全声明
quick_start
quick_start
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release_notes
release_notes
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support
support
FAQ
user_guide
user_guide
dyno使用说明
dynolog使用说明
MindSpore框架下msMonitor的使用方法
npu-monitor使用说明
nputrace使用说明
总体介绍
msopcom
msopcom
docs
docs
zh
zh
contributing
contributing
贡献指南
development_guide
development_guide
MindStudio Ops Common 架构设计说明
MindStudio Ops Common 开发环境搭建及编译和UT方法
legal
legal
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LICENSE声明
安全声明
MindStudio 漏洞机制说明
msopgen
msopgen
docs
docs
en
en
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best_practices
Typical Cases of MindStudio Ops Generator
contributing
contributing
Contribution Guide
development_guide
development_guide
msOpGen Architecture Design Specifications
MindStudio msOpGen Development Environment Setup and UT Methods
install_guide
install_guide
MindStudio Ops Generator Installation Guide
legal
legal
Disclaimer
LICENSE Statement
Security Statement
MindStudio Vulnerability Handling Mechanism Description
overview
overview
Overview
quick_start
quick_start
msOpGen Quick Start
MindStudio Ops System Test Quick Start
release_notes
release_notes
MindStudio Ops Generator Release Notes
support
support
msOpGen FAQ
user_guide
user_guide
MindStudio Ops Generator User Guide
zh
zh
best_practices
best_practices
MindStudio Ops Generator典型案例
contributing
contributing
贡献指南
development_guide
development_guide
msOpGen 架构设计说明书
MindStudio msOpGen 开发环境搭建和UT方法
install_guide
install_guide
MindStudio Ops Generator安装指南
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LICENSE声明
安全声明
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quick_start
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msopprof
msopprof
docs
docs
en
en
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best_practices
Typical Cases
contributing
contributing
Contributing Guide
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development_guide
MindStudio Ops Profiler Architecture Design Specifications
MindStudio Ops Profiler Development Environment Setup, Compilation, and UT Methods
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install_guide
MindStudio Ops Profiler Installation Guide
legal
legal
Disclaimer
LICENSE Statement
Security Declaration
MindStudio Vulnerability Handling Mechanism Description
quick_start
quick_start
MindStudio Ops Profiler Quick Start
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release_notes
MindStudio Ops Profiler Release Notes
user_guide
user_guide
Constraints and Precautions for MindStudio Ops Profiler
Extended Functions
msopprof Profile Data
msopprof Simulator Mode Performance Data
msOpProf Simulator Mode User Guide
msOpProf Usage Scenarios
msOpProf Mode User Guide
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best_practices
best_practices
典型案例
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扩展功能
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msOpProf使用场景
msOpProf模式用户指南
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docs
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zh
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install_guide
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design
26.0.0
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检测工具功能设计文档
检测工具功能设计文档
算子检测工具功能设计文档
调优工具功能设计文档
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MindStudio-Ops-Profiler特性设计说明书
调试工具功能设计文档
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算子调试工具功能设计文档
26.1.0
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检测工具功能设计文档
MindStudio Sanitizer 功能设计文档
调优工具功能设计文档
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MindStudio Ops Profiler 功能设计说明书
调试工具功能设计文档
调试工具功能设计文档
MindStudio Debugger 功能设计说明书
en
en
common
common
Contribution Workflow and Code Style Guide
Operator Tool Development Environment Setup Guide
contributing
contributing
Contributing Guide
install_guide
install_guide
MindStudio Operator Tools Installation Guide
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legal
Disclaimer
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MindStudio Vulnerability Mechanism Description
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overview
Introduction
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quick_start
Ascend CANN Installation Guide for Container Environment
Method for Obtaining the SoC Model of Ascend Chips
Ascend AI Operator Development Toolchain Learning Environment Installation Guide
Operator Development Toolchain Quick Start
Ascend AI Operator Development Toolchain Learning Environment Installation Guide
release_notes
release_notes
MindStudio Operator Tools Release Notes
zh
zh
common
common
贡献流程和规范说明
算子工具开发环境安装指导
contributing
contributing
贡献指南
install_guide
install_guide
算子开发工具链安装指南
legal
legal
免责声明
LICENSE声明
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MindStudio 漏洞机制说明
overview
overview
简介
quick_start
quick_start
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昇腾 AI 算子开发工具链学习环境安装指南
算子开发工具链快速入门
release_notes
release_notes
MindStudio Operator Tools 版本说明
msprobe
msprobe
docs
docs
en
en
accuracy_checker
accuracy_checker
Offline Precision Pre-check for MindSpore Dynamic Graphs
Offline Precision Pre-check in PyTorch
accuracy_compare
accuracy_compare
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One-Click Precision Comparison for Offline Inference Models
Comparison Result Description
Precision Comparison in MindSpore
Graph Comparison in Hierarchical Visualization (MindSpore)
Comparison of Dump Data Precision for Offline Models
Precision Comparison in PyTorch
Graph Comparison in Hierarchical Visualization (PyTorch)
Network-wide Operator Precision Comparison in TorchAir Mode
Trend Visualization
baseline
baseline
Precision Pre-check Baseline in MindSpore
Precision Data Collection Baseline in MindSpore
Performance Baseline Report of the Training Status Monitoring Tool
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dump
dump
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Precision Data Collection in ATB
config.json Examples
Configuration File Introduction
Data Conversion
Single-Point Saving Tool
Inference Offline Model Data Collection
Precision Data Collection in MindSpore
Precision Data Collection in MindSpore Dynamic Graph Mode
Kernel Precision Data Collection in MindSpore Dynamic Graph Scenario
Precision Data Collection in MSAdapter
Precision Data Collection in PyTorch
Kernel-Level Precision Data Collection in PyTorch
Precision Data Collection in SGLang
Inference in Torch Graph Mode (TorchAir)
Collecting Data for Verifying Data Consistency Between verl Training and Inference Based on FSDP
Collecting Data for Verifying Data Consistency Between verl Training and Inference Based on Megatron
Precision Data Collection in the vLLM Scenario
examples
examples
Configuring Layer Mapping for Hierarchical Model Visualization
Data Collection and Automatic Comparison in MindSpeed and LLamaFactory
legal
legal
Disclaimer
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overflow_check
overflow_check
Overflow/Underflow Detection in the MindSpore Scenario
First Network Overflow/Underflow Node Analysis
quick_start
quick_start
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Quick Start of msProbe in the PyTorch Scenario
wiki
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Foundation Model Inference Accuracy Debugging Guide
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Checkpoint Comparison
Configuration Check Before Training
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msProbe: Functional Modules, Scenarios, and Limitations
MindStudio Vulnerability Handling Mechanism Description
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Lightweight Training Status Monitoring Tool
msProbe Installation Guide
Overview
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Release Notes
msProbe Security Statement
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zh
accuracy_checker
accuracy_checker
MindSpore动态图场景离线精度预检
PyTorch场景离线精度预检
accuracy_compare
accuracy_compare
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推理离线模型一键式精度比对
对比结果说明
MindSpore场景精度比对
MindSpore场景分级可视化构图比对
离线模型dump数据精度比对
PyTorch场景精度比对
PyTorch场景的分级可视化构图比对
基于torch图模式（torchair）整网算子精度比对
趋势可视化
baseline
baseline
MindSpore 场景的精度预检基线
MindSpore 场景的精度数据采集基线
训练状态监测工具标准性能基线报告
PyTorch 场景的精度数据采集基线
design_documents
design_documents
MindStudio26.0.0精度调试特性分析与设计说明书
MindStudio26.1.0精度调试特性分析与设计说明书
developer_guide
developer_guide
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dump
dump
aclgraphdump 使用指南
ATB场景精度数据采集
配置文件介绍
数据转换功能
单点保存工具
推理离线模型数据采集
MindSpore场景精度数据采集
MindSpore动态图精度数据采集快速入门
MindSpore动态图场景kernel精度数据采集
MSAdapter场景精度数据采集
PyTorch场景精度数据采集
PyTorch场景kernel级精度数据采集
SGLang精度数据采集（SGLang版本<0.5.11）
SGLang精度数据采集（SGLang版本>=0.5.11）
基于torch图模式（torchair）推理场景
异步架构verl训推一致性比对数据采集
fsdp训练后端verl训推一致性比对数据采集
megatron训练后端verl训推一致性比对数据采集
训推一致性监控：逐Token级别的probsdiff监控
vLLM采集
examples
examples
模型分级可视化如何配置layer mapping映射文件
MindSpeed&LLamaFactory数据采集和自动比对
legal
legal
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License说明
overflow_check
overflow_check
MindSpore场景溢出检测
整网首个溢出节点分析
quick_start
quick_start
MindSpore场景精度调试工具快速入门
PyTorch场景精度调试工具快速入门
wiki
wiki
常见框架dump工具使能
大模型推理精度定位指南
大模型训练精度定位指南
VeRL 训推交叉打桩功能指南
Checkpoint比对
训练前配置检查
项目目录
FAQ
msProbe 工具功能模块简介、适用场景和当前版本局限性
MindStudio漏洞机制说明
Monitor训练状态轻量化监测工具
训练状态轻量化监测工具
msProbe工具安装指南
简介
公网地址
推理异常检测
msProbe安全声明
verl超参比对与关键超参校验
msprof
msprof
docs
docs
en
en
developer_guide
developer_guide
Developer Guide
getting_started
getting_started
MindStudio Profiler Installation Guide
Quick Start
legal
legal
Disclaimer
License
MindStudio Profiler Security Statement
user_guide
user_guide
Extended Functions
MindStudio Profiler Parsing Tool
Profile Data File Reference
Profile Data File Reference (DB)
Project Directory
MindStudio Profiler Release Notes
zh
zh
design
design
背景描述（Background）
MindStudio Profiler 性能调优特性分析与设计说明书
developer_guide
developer_guide
development_guide
getting_started
getting_started
msProf工具安装指南
快速入门
legal
legal
免责声明
License
msProf安全声明
user_guide
user_guide
扩展功能
msprof解析工具
profile_data_file_references
DB格式性能数据文件参考
项目目录
release_notes
msprof-analyze
msprof-analyze
docs
docs
en
en
advanced_features
advanced_features
calibratenpugpu
Cluster Operator Duration Analysis
clustertimecomparesummary
clustertimesummary
communicationbottleneck
computationalopmasking
Custom Analysis Rule Development Guide
exportsummary
freeanalysis
modulestatistic
operatormfu
ppchart
Table Structures of Recipe Results and clusteranalysis.db Deliverables
developer_guide
developer_guide
Developer Guide
getting_started
getting_started
MindStudio Profiler Analyze Installation Guide
Profile Data Collection Guides
Quick Start
legal
legal
Disclaimer
License Notice
MindStudio Profiler Analyze Security Statement
user_guide
user_guide
advisor
clusteranalyse
compare
AICPU Operator Replacement Examples
Project Directory
Examples for Fused Operator API Replacement During Migration to Ascend
Overview
Release Notes
zh
zh
advanced_features
advanced_features
NPU 和 GPU 性能数据拆解比对
集群算子耗时分析
集群性能数据细粒度比对
集群性能数据细粒度拆解
通信瓶颈分析
集群算子掩盖线性度分析
自定义分析规则开发指导
集群算子信息导出
空闲时间原因分析
性能数据模型结构拆解
算子 MFU 分析
pp流水图数据分析
recipe结果和clusteranalysis.db交付件表结构说明
design
design
MindStudio Profiler Analyze特性分析与设计说明书
developer_guide
developer_guide
开发指南
getting_started
getting_started
msprof-analyze工具安装指南
采集profiling性能数据指导
快速入门
legal
legal
免责声明
License 声明
msprof-analyze安全声明
user_guide
user_guide
专家建议
集群分析工具
性能比对
AICPU算子替换样例
项目目录
昇腾迁移融合算子API替换样例
简介
版本说明
mspti
mspti
docs
docs
en
en
c_api
c_api
context
context
msptiActivity
msptiActivityApi
msptiActivityCommunication
msptiActivityDisable
msptiActivityDisableMarkerDomain
msptiActivityEnable
msptiActivityEnableMarkerDomain
msptiActivityExternalCorrelation
msptiActivityFlag
msptiActivityFlushAll
msptiActivityFlushPeriod
msptiActivityGetNextRecord
msptiActivityHccl
msptiActivityKernel
msptiActivityKind
msptiActivityMarker
msptiActivityMemcpy
msptiActivityMemcpyKind
msptiActivityMemory
msptiActivityMemoryKind
msptiActivityMemoryOperationType
msptiActivityMemset
msptiActivityPopExternalCorrelationId
msptiActivityPushExternalCorrelationId
msptiActivityRegisterCallbacks
msptiActivitySourceKind
msptiApiCallbackSite
msptiBuffersCallbackCompleteFunc
msptiBuffersCallbackRequestFunc
msptiCallbackData
msptiCallbackDomain
msptiCallbackFunc
msptiCallbackId
msptiCallbackIdHccl
msptiCallbackIdRuntime
msptiCommunicationDataType
msptiEnableCallback
msptiEnableDomain
msptiExternalCorrelationKind
msptiObjectId
msptiResult
msptiSubscribe
msptiSubscriberHandle
msptiUnsubscribe
design
design
msPTI Feature Design Specifications
python_api
python_api
context
context
HcclData
HcclMonitor.flush\all
HcclMonitor.set\buffer\size
HcclMonitor.start
HcclMonitor.stop
KernelData
KernelMonitor.flush\all
KernelMonitor.set\buffer\size
KernelMonitor.start
KernelMonitor.stop
MarkerData
msptiActivityFlag
msptiActivityKind
msptiActivitySourceKind
msptiResult
MstxMonitor.disable\domain
MstxMonitor.enable\domain
MstxMonitor.flush\all
MstxMonitor.set\buffer\size
MstxMonitor.start
MstxMonitor.stop
RangeMarkerData
msPTI Installation Guide
Overview
Release Notes
msPTI Security Statement
zh
zh
c_api
c_api
context
context
msptiActivity
msptiActivityApi
msptiActivityCommunication
msptiActivityDisable
msptiActivityDisableMarkerDomain
msptiActivityEnable
msptiActivityEnableMarkerDomain
msptiActivityExternalCorrelation
msptiActivityFlag
msptiActivityFlushAll
msptiActivityFlushPeriod
msptiActivityGetNextRecord
msptiActivityHccl
msptiActivityIsEnabled
msptiActivityKernel
msptiActivityKind
msptiActivityMarker
msptiActivityMemcpy
msptiActivityMemcpyKind
msptiActivityMemory
msptiActivityMemoryKind
msptiActivityMemoryOperationType
msptiActivityMemset
msptiActivityPopExternalCorrelationId
msptiActivityPushExternalCorrelationId
msptiActivityRegisterCallbacks
msptiActivitySourceKind
msptiApiCallbackSite
msptiBuffersCallbackCompleteFunc
msptiBuffersCallbackRequestFunc
msptiCallbackData
msptiCallbackDomain
msptiCallbackFunc
msptiCallbackId
msptiCallbackIdHccl
msptiCallbackIdRuntime
msptiCommunicationDataType
msptiEnableCallback
msptiEnableDomain
msptiExternalCorrelationKind
msptiObjectId
msptiResult
msptiSubscribe
msptiSubscriberHandle
msptiUnsubscribe
design
design
msPTI特性设计说明书
developer_guide
developer_guide
开发指南
getting_started
getting_started
msPTI工具安装指南
msPTI快速入门
msPTI工具样例指南
python_api
python_api
context
context
CommunicationData
CommunicationMonitor.flush\all
CommunicationMonitor.set\buffer\size
CommunicationMonitor.start
CommunicationMonitor.stop
HcclData
HcclMonitor.flush\all
HcclMonitor.set\buffer\size
HcclMonitor.start
HcclMonitor.stop
KernelData
KernelMonitor.flush\all
KernelMonitor.set\buffer\size
KernelMonitor.start
KernelMonitor.stop
MarkerData
MsptiActivityFlag
MsptiActivityKind
MsptiActivitySourceKind
MsptiCommunicationDataType
MsptiResult
MstxMonitor.disable\domain
MstxMonitor.enable\domain
MstxMonitor.flush\all
MstxMonitor.set\buffer\size
MstxMonitor.start
MstxMonitor.stop
RangeMarkerData
版本说明
msPTI安全声明
mssanitizer
mssanitizer
docs
docs
en
en
api_reference
api_reference
MindStudio Sanitizer API Reference
best_practices
best_practices
Basic Cases
contributing
contributing
Contribution Guide
development_guide
development_guide
msSanitizer Architecture Design Specifications
MindStudio Sanitizer Development Environment Setup, Build, and UT Methods
install_guide
install_guide
MindStudio Sanitizer Installation Guide
legal
legal
Disclaimer
LICENSE Statement
Security Statement
MindStudio Vulnerability Handling Mechanism Description
overview
overview
Overview
quick_start
quick_start
msSanitizer Quick Start
release_notes
release_notes
MindStudio Sanitizer Release Notes
support
support
MindStudio Sanitizer FAQs
user_guide
user_guide
Enabling Full Check
MindStudio Sanitizer User Guide
zh
zh
api_reference
api_reference
MindStudio Sanitizer 对外接口使用说明
best_practices
best_practices
基础案例
contributing
contributing
贡献指南
development_guide
development_guide
msSanitizer 架构设计说明书
MindStudio Sanitizer 开发环境搭建及编译和UT方法
install_guide
install_guide
MindStudio Sanitizer 安装指南
legal
legal
免责声明
LICENSE声明
安全声明
MindStudio 漏洞机制说明
quick_start
quick_start
msSanitizer算子检测工具快速入门
release_notes
release_notes
MindStudio Sanitizer 版本说明
support
support
MindStudio Sanitizer常见问题
user_guide
user_guide
开启全量检测
MindStudio Sanitizer 使用指南
msserviceprofiler
msserviceprofiler
docs
docs
community_extension_docs
community_extension_docs
社区扩展与插件列表
社区拓展指南：如何提交扩展
design
design
MindStudio Service Profiler 特性设计说明书
【B050】LLM推理监控平台设计文档
三元关系详设
en
en
cpp_api
cpp_api
serving_tuning
serving_tuning
ArrayAttr
ArrayResource
Attr Functions
Domain
Event
GetMsg
IsEnable
Launch
Link
Macro Definition
Metric
MetricInc
MetricScope
MetricScopeAsGlobal
MetricScopeAsReqID
NumArrayAttr
Resource
SpanEnd
SpanStart
trace_data_monitoring
trace_data_monitoring
Activate
addResAttribute
Attach
End
ExtractAndAttach
GetCurrent
GetTraceCtx
IsEnable
SetAttribute
SetStatus
Span
Span Class
StartSpanAsActive
TraceContext Class
Tracer Class
Unattach
developer_guide
developer_guide
msServiceProfiler Developer Guide
python_api
python_api
context
context
\\enter\\/\\exit\\
attr
domain
event
get\msg
init
launch
link
metric
metric\inc
metric\scope
metric\scope\as\req\id
res
span\end
span\start
Project Directory
msServiceProfiler Compare Tool
msServiceProfiler Installation Guide
msServiceProfiler Multi Analyze
msServiceProfiler
msServiceProfiler Trace for Data Monitoring
Public Network Address
Quick Start Guide for msServiceProfiler
msServiceProfiler Security Statement
Service Performance Split Tool
Service Profiling Advisor
Serviceparam Optimizer
Custom Plugin Developer Guide
SGLang Service Profiler User Guide
vLLM Serving Prometheus Metric Monitoring Tool User Guide
vLLM Service Profiler User Guide
MindStudio Vulnerability Handling Mechanism Description
zh
zh
cpp_api
cpp_api
serving_tuning
serving_tuning
ArrayAttr
ArrayResource
Attr系列
Domain
Event
GetMsg
IsEnable
Launch
Link
宏定义
Metric
MetricInc
MetricScope
MetricScopeAsGlobal
MetricScopeAsReqID
NumArrayAttr
Resource
SpanEnd
SpanStart
trace_data_monitoring
trace_data_monitoring
Activate
addResAttribute
Attach
End
ExtractAndAttach
GetCurrent
GetTraceCtx
IsEnable
SetAttribute
SetStatus
Span
Span类
StartSpanAsActive
TraceContext类
Tracer类
Unattach
developer_guide
developer_guide
msServiceProfiler 开发指南
legal
legal
免责声明
License
python_api
python_api
context
context
\\enter\\/\\exit\\
attr
domain
event
get\msg
init
launch
link
metric
metric\inc
metric\scope
metric\scope\as\req\id
res
span\end
span\start
项目目录
服务化性能数据比对工具
msServiceProfiler 工具安装指南
服务化多维度解析工具
服务化调优工具
msServiceProfiler Trace数据监测
简介
公网地址
服务化性能调优工具快速入门
版本说明
msServiceProfiler安全声明
服务化拆解工具
服务化专家建议工具
服务化自动寻优工具
自定义插件开发指导
SGLang 服务化性能采集工具使用指南
vLLM 服务化 Prometheus 数据监测工具使用指南
vLLM 服务化性能采集工具使用指南
MindStudio 漏洞机制说明
{% include-markdown "../CONTRIBUTING.md" %}
mstt
mstt
docs
docs
zh
zh
common
common
贡献流程和规范说明
contributing
contributing
贡献指南
legal
legal
免责声明
LICENSE声明
MindStudio漏洞机制说明
公网地址
msTT安全声明
quick_start
quick_start
MindSpore场景msTT工具快速入门
PyTorch场景msTT工具快速入门
release_notes
release_notes
版本说明
简介
mstx
mstx
docs
docs
zh
zh
api_reference
api_reference
Common
Common
mstxDomainCreateA
mstxDomainDestroy
mstxDomainMarkA
mstxDomainRangeEnd
mstxDomainRangeStartA
mstxGetToolId
mstxMarkA
mstxRangeEnd
mstxRangeStartA
Mem
Mem
mstxMemHeapRegister
mstxMemHeapUnregister
mstxMemPermissionsAssign
mstxMemRegionsRegister
mstxMemRegionsUnregister
contributing
contributing
贡献指南
development_guide
development_guide
MindStudio Tools Extension Library 开发指南
install_guide
install_guide
MindStudio Tools Extension Library安装指南
legal
legal
免责声明
LICENSE声明
安全声明
MindStudio 漏洞机制说明
release_notes
release_notes
MindStudio Tools Extension Library 版本说明
msagent
msagent
docs
docs
zh
zh
agent_guide
agent_guide
Accuracy 精度调试
Minos 文档辅助
Modeling 仿真建模
Operator 算子调优
Profiler 性能调优
Quantizer 模型量化
design
design
msagent_design
msprof_mcp_design
developer_guide
developer_guide
1. 概述
编译与打包
贡献指南
ReadTheDocs 本地验证说明
版本与兼容性
getting_started
getting_started
msAgent安装指南
msAgent快速入门
legal
legal
免责声明
LICENSE1
LICENSE2
LICENSE_intro
安全声明
user_guide
user_guide
Agent YAML Tool/Skills 过滤规则说明
配置与扩展
上下文压缩使用指南
📝 document-ux-review 使用说明
FAQ
Retry Middleware 使用指南（Deepagents/LangChain）
msAgent使用指南
{% include-markdown "../CONTRIBUTING.md" %}
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