Tutorials

Quick Start

  • Overview
  • Quick Start
  • Tensor
  • Data Loading and Processing
  • Building a Network
  • Automatic Differentiation
  • Model Training
  • Saving and Loading the Model
  • Accelerating with Static Graphs

Data Processing

  • Data Processing Overview
  • Data Loading and Sampling
  • Data Operation/Data Transformation
  • MindRecord Format Conversion
  • Optimizing the Data Processing

Compilation

  • Introduction to Graph Mode Programming
  • Graph Mode Syntax - Operators
  • Graph Mode Syntax - Python Statements
  • Graph Mode Syntax - Python Built-in Functions
  • Graph Mode - Programming Techniques
  • Custom Fusion Strategy

Parallel

  • Distributed Parallelism Overview
  • Distributed Parallel Startup Methods
  • Data Parallel
  • Operator-level Parallelism
  • Optimizer Parallel
  • Pipeline Parallel
  • Optimization Techniques
  • Distributed High-Level Configuration Case

Debugging and Tuning

  • Dynamic Graph Debugging
  • Using Dump in the Graph Mode
  • Feature Value Detection
  • Ascend Performance Tuning
  • Error Reporting Analysis
  • DryRun

Custom programming

  • Custom Operators
  • Custom Backend
  • Custom Pass
  • Hook Programming

Infer

  • MindSpore Inference Overview
  • MindSpore LLM Inference with Framework
  • MindSpore Lite Inference Overview

High Availability

  • Fault Recovery
  • Training Process Graceful Exit

Model Cases

  • Model Migration
  • Computer Vision
  • Natural Language Processing
  • Generative
Tutorials
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