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Qwen3.5 Simulation Support Design Document
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RFC: Modeling Support for Hunyuanvideo Model
RFC: Hunyuanvideo模型建模支持
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RFC: Throughput Optimizer 当前 Mixed-Batch 变长 Token 建模实现
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RFC: OptiX 部署子进程环境隔离
RFC: 真机轻量化寻优部署器（optix-deploy Skill）
RFC: optix 服务参数寻优可靠性增强
RFC: 参数范围推荐器（param-recommend Skill）
RFC: PD Ratio Throughput Optimization
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RFC: Standalone Performance Database Collection Tooling
RFC: 性能数据库独立采集工具链
RFC: Pipeline Parallel Simulation Support
rfc_pipeline_parallel_support_zh
性能回归测试框架设计文档
RFC: Support Prefix Cache Hit Rate in CLI textgenerate / throughputoptimizer
RFC: CLI textgenerate / throughputoptimizer 支持 Prefix Cache 命中率
RFC: Profiling-Driven Empirical Performance Model
RFC: 基于 Profiling 的经验性能模型
RFC: Profiling Operator Interpolation Module Design (Phase 1)
RFC: 实测算子接入插值模块设计（第一阶段）
RFC: Profiling Interpolation Phase2 Operator Capability Expansion
RFC: Profiling 插值 Phase2 算子能力扩展
RFC：Q2 建模技术规划
RFC: Quantization Configuration System Optimization Proposal
RFC: 量化配置系统优化方案
RFC: Support for Adapting the Qwen3-VL Multimodal Model
RFC: Qwen3-VL多模态模型适配支持
RFC: Transformer 重复层代表层优化
RFC: SwiGLU Operator Fusion
RFC: SwiGLU算子融合
1. Overview (概述)
rfc_text_generate_executor_skill_zh
rfc_throughput_optimizer_executor_skill_zh
RFC: throughput-optimizer-explainer Skill 设计方案
RFC: Adopt uv for Dependency and Environment Management
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install_guide
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服务化细粒度仿真 使用指南
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msmodelslim
msmodelslim
docs
docs
en
en
appendix
appendix
Contributing to MindStudio ModelSlim
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msModelSlim Security Statement
case_studies
case_studies
msModelSlim Quantized Weights Conversion Guide for AutoAWQ and AutoGPTQ
Quantization Accuracy Tuning Guide
Use Cases for W8A8 Quantized Weights in the Acceleration Library Scenario
Qwen3-32B W8A8 Accuracy Tuning Case
Sparse Quantization Accuracy Tuning Case
W8A16 Accuracy Tuning Strategy
W8A8 Quantization Accuracy Tuning Strategy
developer_guide
developer_guide
LLM Model Integration Guide
Multimodal Understanding Model Integration Guide
feature_guide
feature_guide
auto_precision_tuning
auto_precision_tuning
Automatic Tuning Configuration Protocol
Automatic Tuning Usage Guide
quick_quantization_v1
quick_quantization_v1
Debug Mode User Guide
Group Processor
Quick Quantization Results
Quick Quantization Guide
sensitive_layer_analysis
sensitive_layer_analysis
Quantization Sensitive Layer Analysis Tool Guide
traditional_quantization_v0
traditional_quantization_v0
Fake-Quantization Accuracy Test Tool
Compression and Structure Optimization (Mainly for Foundation Models)
Foundation Model Quantization and Calibration
Inference Optimization for Multimodal Generative Models
MindSpeed Adapter
Training Acceleration and Model Reconstruction
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msModelSlim Quantization Weight Format
Sparse Training Acceleration
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Quantization and Calibration
getting_started
getting_started
msModelSlim Installation Guide
Quantization Quickstart
model_support
model_support
Foundation Model Support Matrix
python_api_v0
python_api_v0
distillation_apis
distillation_apis
KnowledgeDistillConfig
KnowledgeDistillConfig
addcustomlossfunc
addintersoftlabel
addoutputsoftlabel
sethardlabel
setteachertrain
getdistillmodel
foundation_model_compression_apis
foundation_model_compression_apis
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AntiOutlier
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CalibrationData
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LayerSelector
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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
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RARopeCompressor
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weight_compress_apis
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export()
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run()
low_rank_decompression_apis
low_rank_decompression_apis
Decompose
Decompose
init
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fromdict
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fromvbmf
countparameters
multimodal_inference_apis
multimodal_inference_apis
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DitCache
DitCacheAdaptor: DiT Model Cache Adapter
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sampling_optimization_apis
sampling_optimization_apis
ReStepAdaptor
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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()
Quantization Session Configuration
settimestepidx()
Public Interface
quantization_algorithms
quantization_algorithms
auto_tuning_strategies
auto_tuning_strategies
binary_fallback
Standing High Tuning Algorithm
Standing High With Experience Tuning Algorithm
outlier_suppression_algorithms
outlier_suppression_algorithms
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
AutoRound: Low-bit Quantization Algorithm
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
Linear Quantization Algorithm
MinMax Quantization Algorithm
PDMIX: Phase-wise Mixed Activation Quantization Algorithm
SSZ: Weight Quantization Algorithm
Project Directory Structure Overview
zh
zh
api_reference
api_reference
config
config
自动调优配置协议说明
1. 定义静态量化模板 (Anchor)
python_api_v0
python_api_v0
distillation_apis
distillation_apis
KnowledgeDistillConfig
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
RACompressor
RARopeCompressConfig
RARopeCompressor
weight_compress_apis
weight_compress_apis
CompressConfig
Compressor
export()
exportsafetensors()
run()
low_rank_decompression_apis
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
best_practices
best_practices
msModelSlim量化权重转AutoAWQ&AutoGPTQ使用指南
qwen3_32b_w8a8_precision_tuning_case
contributing
contributing
design
design
msModelSlim 丰富量化模型支持特性设计说明书
msModelSlim 敏感层分析模块重构特性设计说明书
模型结构提取特性设计说明书
msModelSlim 自动调优加速特性设计说明书
development_guide
development_guide
msModelSlim 架构
命令行 API 文档 Checklist
{{ commandname }} 命令行 API 文档
编码规范
项目目录结构总览
量化配置文档 Checklist
{{ configname }} 配置说明
开发者测试指南
Contributing to Mindstudio ModelSlim
install_guide
install_guide
msModelSlim工具安装指南
knowledge_base
knowledge_base
model
model
LLM大模型接入指南
多模态生成模型接入指南
多模态理解模型接入指南
parallel
parallel
多卡量化适配指南
ptq
ptq
convert
convert
usage
quantization_algorithms
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adapt_rotation
adapt_rotation
adapt_rotation
attention_mse
attention_mse
attention_mse
autoround
autoround
autoround
awq_smooth
awq_smooth
awq_smooth
ceil_x
ceil_x
计算 per-block min/max
dual_scale
dual_scale
dual_scale
fa3_quant
fa3_quant
fa3_quant
flex_awq_ssz
flex_awq_ssz
flex_awq_ssz
flex_smooth_quant
flex_smooth_quant
flex_smooth_quant
float_sparse
float_sparse
float_sparse
fouroversix
fouroversix
方案A: Scale to 6
gptq
gptq
gptq
histogram_activation_quantization
histogram_activation_quantization
histogram_activation_quantization
iterative_smooth
iterative_smooth
iterative_smooth
kurtosis
kurtosis
Kurtosis：敏感层分析算法说明
kv_smooth
kv_smooth
kv_smooth
kvcache_quant
kvcache_quant
DynamicCacheQuantizer：校准阶段的量化器
laos
laos
laos
linear_quant
linear_quant
linear_quant
minmax
minmax
minmax
mse_layer_wise
mse_layer_wise
层级 MSE（mselayerwise）：敏感层分析算法说明
mse_model_wise
mse_model_wise
模型级 MSE（msemodelwise）：敏感层分析算法说明
mse_round
mse_round
MSERound：Per-Block MSE 最优 MXFP8 权重量化算法说明
pdmix
pdmix
pdmix
quantile
quantile
Quantile：敏感层分析算法说明
quarot
quarot
quarot
smooth_quant
smooth_quant
smooth_quant
ssz
ssz
ssz
std
std
Std：敏感层分析算法说明
svdquant
svdquant
svdquant
quantization_format
quantization_format
ascendv1
ascendv1
AscendV1 格式说明
compressed_tensors
compressed_tensors
compressed-tensors 格式说明
量化格式接入指南
tuning_strategies
tuning_strategies
binary_fallback
binary_fallback
binary_fallback
standing_high
standing_high
standing_high
standing_high_with_experience
standing_high_with_experience
standing_high_with_experience
legal
legal
致msModelSlim使用者
LICENSE声明
msModelSlim安全声明
quick_start
quick_start
量化快速入门
release_notes
release_notes
版本说明
support
support
FAQ
user_guide
user_guide
traditional_quantization_v0
traditional_quantization_v0
伪量化精度测试工具（Precision Tool）
压缩与结构优化（大模型为主）
大模型量化与校准
Install torchnpu and decord
mindspeed_adapter
训练加速与模型改造
量化代码示例
msmodelslim量化权重格式
稀疏加速训练
传统模型量化与校准
量化与校准
guide_quantization_precision_tuning
自动调优使用说明
调试模式使用指南
一键量化完整指南
量化敏感层分析工具使用指南
msmonitor
msmonitor
docs
docs
zh
zh
advanced_features
advanced_features
mindstudiomonitor模块接口参考
Monitor 特性介绍
design
design
MindStudio Monitor特性分析与设计说明书
developer_guide
developer_guide
开发指南
getting_started
getting_started
msMonitor工具安装指南
msMonitor工具快速入门
legal
legal
MindStudio漏洞机制说明
公网地址
msMonitor安全声明
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
项目目录
FAQ
总体介绍
版本说明
msopcom
msopcom
docs
docs
en
en
contributing
contributing
Contribution Guide
development_guide
development_guide
MindStudio Ops Common Architecture Design
MindStudio Ops Common Development Environment Setup, Compilation, and Unit Testing
legal
legal
Disclaimer
LICENSE Statement
Security Statement
MindStudio Vulnerability Mechanism
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
免责声明
LICENSE声明
安全声明
MindStudio 漏洞机制说明
msopgen
msopgen
docs
docs
en
en
best_practices
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
legal
legal
免责声明
LICENSE声明
安全声明
MindStudio 漏洞机制说明
overview
overview
简介
quick_start
quick_start
msOpGen算子调试工具快速入门
MindStudio Ops System Test快速入门
release_notes
release_notes
MindStudio Ops Generator 版本说明
support
support
msOpGen 常见问题
user_guide
user_guide
MindStudio Ops Generator工具用户指南
msopmodeling
msopmodeling
docs
docs
zh
zh
contributing
contributing
贡献指南
development_guide
development_guide
算子性能建模工具开发指南
install_guide
install_guide
算子性能建模工具安装指南
legal
legal
免责声明
LICENSE声明
安全声明
MindStudio 漏洞机制说明
quick_start
quick_start
算子性能建模工具快速入门
user_guide
user_guide
算子性能建模工具使用指南
msopprof
msopprof
docs
docs
en
en
best_practices
best_practices
Typical Cases
contributing
contributing
Contributing Guide
development_guide
development_guide
MindStudio Ops Profiler Architecture Design Specifications
MindStudio Ops Profiler Development Environment Setup, Compilation, and UT Methods
install_guide
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
release_notes
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
zh
zh
best_practices
best_practices
典型案例
contributing
contributing
贡献指南
development_guide
development_guide
MindStudio Ops Profiler 架构设计说明书
MindStudio Ops Profiler 开发环境搭建及编译和UT方法
install_guide
install_guide
MindStudio Ops Profiler 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
msOpProf 算子性能调优工具快速入门
release_notes
release_notes
MindStudio Ops Profiler 版本说明
user_guide
user_guide
MindStudio Ops Profiler 工具限制与注意事项
扩展功能
msopprof模式性能数据
msOpProf simulator模式性能数据
msopprof simulator模式用户指南
msOpProf使用场景
msOpProf模式用户指南
msoptuner
msoptuner
docs
docs
en
en
install_guide
install_guide
MindStudio Ops Tuner Installation Guide
legal
legal
Disclaimer
LICENSE Statement
Security Statement
MindStudio Vulnerability Mechanism
zh
zh
install_guide
install_guide
MindStudio Ops Tuner安装指南
legal
legal
免责声明
LICENSE声明
安全声明
MindStudio 漏洞机制说明
msot
msot
docs
docs
design
design
26.0.0
26.0.0
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
调优工具功能设计文档
MindStudio-Ops-Profiler特性设计说明书
调试工具功能设计文档
调试工具功能设计文档
算子调试工具功能设计文档
26.1.0
26.1.0
检测工具功能设计文档
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
调优工具功能设计文档
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
legal
legal
Disclaimer
LICENSE Statement
Security Statement
MindStudio Vulnerability Mechanism Description
overview
overview
Introduction
quick_start
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
MindStudio 工具开发环境安装指导
MindStudio 统一构建镜像制作指南
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
安全声明
MindStudio 漏洞机制说明
overview
overview
简介
quick_start
quick_start
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
user_guide
user_guide
msOT 工具选型指南
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
ATB Data Precision Comparison
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
Compile Accuracy 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
Precision Data Collection Baseline in PyTorch
dump
dump
aclgraphdump Instructions
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
License Description
overflow_check
overflow_check
Overflow/Underflow Detection in the MindSpore Scenario
First Network Overflow/Underflow Node Analysis
quick_start
quick_start
Quick Start of msProbe in the MindSpore Scenario
Quick Start of msProbe in the PyTorch Scenario
wiki
wiki
Enabling Tools for Common Frameworks
Foundation Model Inference Accuracy Debugging Guide
Foundation Model Training Accuracy Debugging Guide
Checkpoint Comparison
Configuration Check Before Training
Project Directory
FAQs
msProbe: Functional Modules, Scenarios, and Limitations
MindStudio Vulnerability Handling Mechanism Description
Lightweight Training Status Monitoring Tool
Lightweight Training Status Monitoring Tool
msProbe Installation Guide
Overview
Public Network Addresses
Release Notes
msProbe Security Statement
zh
zh
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
best_practices
best_practices
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
contributing
contributing
为MindStudio Probe贡献
development_guide
development_guide
开发者指南
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
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
install_guide
install_guide
msProbe工具安装指南
legal
legal
免责声明
License说明
MindStudio漏洞机制说明
公网地址
msProbe安全声明
quick_start
quick_start
MindSpore场景精度调试工具快速入门
msProbe PyTorch 场景快速入门
support
support
FAQ
user_guide
user_guide
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
ATB场景精度比对
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场景编译精度比对
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
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
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）
slime框架训推一致性预处理与数据采集
slime框架训推精度数据采集
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
overflow_check
overflow_check
整网首个溢出节点分析
Checkpoint比对
训练前配置检查
msProbe 工具功能模块简介、适用场景和当前版本局限性
Monitor训练状态轻量化监测工具
训练状态轻量化监测工具
推理异常检测
VeRL 训推交叉打桩功能指南
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
best_practices
best_practices
异步双发未生效问题调优指导实例
msProf工具使用案例——ResNet50推理模型性能分析
同一Batch内请求长度不均问题分析
一、问题背景
通信地址不对齐导致性能下降问题分析
CPU Cache Miss资源冲突与受限问题分析
CPU 线程频繁切换
一、问题背景
DP负载不均
EP负载不均
框架调度下发不同步问题调优指导实例
GIL锁抢占问题分析
IR中断打断问题分析
内核进程频繁切换问题分析
KV Block数量不足
KVCache传输影响模型性能
内存碎片问题分析
内存泄漏问题分析
模型性能劣化导致SLO劣化
模型前后处理耗时过长问题分析
多实例负载不均
一、问题背景
PrefixCache未命中
Pthread线程锁等待
Python GC回收高耗时
模型推理请求等待时间过长问题调优指导实例
sampler执行耗时过长问题分析
scheduler耗时过长
服务化与纯模型性能差异过大问题调优指导实例
一、问题背景
系统调用高耗时函数
contributing
contributing
为MindStudio Profiler贡献
development_guide
development_guide
development_guide
背景描述（Background）
MindStudio Profiler 性能调优特性分析与设计说明书
install_guide
install_guide
msProf工具安装指南
legal
legal
免责声明
License
msProf安全声明
quick_start
quick_start
msProf 快速入门
support
support
FAQ
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
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
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
解析结果和clusteranalysis.db交付件表结构说明
development_guide
development_guide
MindStudio Profiler Analyze特性分析与设计说明书
开发指南
install_guide
install_guide
msprof-analyze工具安装指南
legal
legal
免责声明
License 声明
msprof-analyze安全声明
quick_start
quick_start
msprof-analyze 快速入门
user_guide
user_guide
专家建议
cluster_analyse_instruct
性能比对
AICPU算子替换样例
昇腾迁移融合算子API替换样例
mspti
mspti
docs
docs
en
en
c_api
c_api
context
context
msptiActivity
msptiActivityApi
msptiActivityCommunication
msptiActivityDisable
msptiActivityDisableMarkerDomain
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msptiActivityExternalCorrelation
msptiActivityFlag
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msptiActivityGetNextRecord
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msptiActivityMarker
msptiActivityMemcpy
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msptiActivityMemory
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msptiActivityPopExternalCorrelationId
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msptiActivityRegisterCallbacks
msptiActivitySourceKind
msptiApiCallbackSite
msptiBuffersCallbackCompleteFunc
msptiBuffersCallbackRequestFunc
msptiCallbackData
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msptiCallbackFunc
msptiCallbackId
msptiCallbackIdHccl
msptiCallbackIdRuntime
msptiCommunicationDataType
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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
api_reference
api_reference
c_api
c_api
context
context
msptiActivity
msptiActivityApi
msptiActivityCommunication
msptiActivityDisable
msptiActivityDisableMarkerDomain
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msptiActivityEnableMarkerDomain
msptiActivityExternalCorrelation
msptiActivityFlag
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msptiActivityFlushPeriod
msptiActivityGetNextRecord
msptiActivityHccl
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msptiActivityKernel
msptiActivityKind
msptiActivityMarker
msptiActivityMemcpy
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msptiActivityMemory
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msptiActivityRegisterCallbacks
msptiActivitySourceKind
msptiApiCallbackSite
msptiBuffersCallbackCompleteFunc
msptiBuffersCallbackRequestFunc
msptiCallbackData
msptiCallbackDomain
msptiCallbackFunc
msptiCallbackId
msptiCallbackIdHccl
msptiCallbackIdRuntime
msptiCommunicationDataType
msptiEnableCallback
msptiEnableDomain
msptiExternalCorrelationKind
msptiObjectId
msptiResult
msptiSubscribe
msptiSubscriberHandle
msptiUnsubscribe
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
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MsptiActivitySourceKind
MsptiCommunicationDataType
MsptiResult
MstxMonitor.disable\domain
MstxMonitor.enable\domain
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MstxMonitor.set\buffer\size
MstxMonitor.start
MstxMonitor.stop
RangeMarkerData
best_practices
best_practices
msPTI 最佳实践与典型案例
contributing
contributing
为 MindStudio Profiler Tools Interface 贡献
development_guide
development_guide
开发指南
msPTI特性设计说明书
install_guide
install_guide
msPTI工具安装指南
legal
legal
免责声明
License
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quick_start
quick_start
msPTI 快速入门
support
support
msPTI 常见问题（FAQ）
user_guide
user_guide
Activity API 使用指南
Callback API 使用指南
msPTI 用户指南
Python API 使用指南
msPTI工具样例指南
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
en
en
common
common
Contribution Workflow and Guidelines
contributing
contributing
Contribution Guide
legal
legal
Disclaimer
LICENSE Statement
MindStudio Vulnerability Mechanism Description
Public Network Addresses
msTT Security Statement
quick_start
quick_start
msTT Quick Start in MindSpore Scenarios
msTT Quick Start in PyTorch Scenarios
release_notes
release_notes
Release Notes
Overview
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
训练开发工具链快速入门
user_guide
user_guide
msTT 工具选型指南
mstx
mstx
docs
docs
en
en
api_reference
api_reference
Common
Common
mstxDomainCreateA
mstxDomainDestroy
mstxDomainMarkA
mstxDomainRangeEnd
mstxDomainRangeStartA
mstxGetToolId
mstxMarkA
mstxRangeEnd
mstxRangeStartA
Mem
Mem
mstxMemHeapRegister
mstxMemHeapUnregister
mstxMemRegionsRegister
mstxMemRegionsUnregister
contributing
contributing
Contribution Guide
development_guide
development_guide
MindStudio Tools Extension Library Development Guide
install_guide
install_guide
MindStudio Tools Extension Library Installation Guide
legal
legal
Disclaimer
LICENSE Statement
Security Statement
MindStudio Vulnerability Mechanism
release_notes
release_notes
MindStudio Tools Extension Library Release Notes
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 模型量化调优
design
design
msAgent 设计文档
msprof_mcp_design
NPU平台内存快照分析设计文档
developer_guide
developer_guide
添加自定义 Agent
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
example
example
Accuracy 使用示例
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
接入 msAgent 调试调优能力
Retry Middleware 使用指南（Deepagents/LangChain）
msAgent使用指南
msboost
msboost
docs
docs
zh
zh
install_guide
install_guide
MindStudio Boost 安装指南
release_notes
release_notes
MindStudio Boost 版本发布说明
user_guide
user_guide
MindStudio Boost 使用指南
msmonitor-dyno
msmonitor-dyno
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
development_guide
development_guide
开发指南
MindStudio Monitor特性分析与设计说明书
install_guide
install_guide
msMonitor工具安装指南
legal
legal
免责声明
License
MindStudio漏洞机制说明
公网地址
msMonitor安全声明
quick_start
quick_start
msMonitor工具快速入门
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
msmonitor-whl
msmonitor-whl
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
development_guide
development_guide
开发指南
MindStudio Monitor特性分析与设计说明书
install_guide
install_guide
msMonitor工具安装指南
legal
legal
免责声明
License
MindStudio漏洞机制说明
公网地址
msMonitor安全声明
quick_start
quick_start
msMonitor工具快速入门
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
{% include-markdown "../README.md" %}
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