MindSpore

Distributed Parallel

  • Distributed Parallelism Overview
  • Distributed Parallel Startup Methods
  • Data Parallel
  • Semi-automatic Parallel
  • Automatic Parallel
  • Manually Parallelism
  • Parameter Server
  • Model Saving and Loading
  • Fault Recovery
  • Optimization Techniques
  • Experimental Characteristics
  • Distributed High-Level Configuration Case

Custom Operator

  • Custom Operators (Custom-based)
  • MindSpore Hybrid Syntax Specification
  • Custom Operator Registration
  • Advanced Usage of aot-type Custom Operators

Performance Optimization

  • Profiling↗
  • Sinking Mode
  • Enabling Graph Kernel Fusion
  • Memory Reuse

Algorithm Optimization

  • Gradient Accumulation Algorithm
  • Second-order Optimization

High-level Functional Programming

  • Automatic Vectorization (Vmap)
  • Computing Jacobian and Hessian Matrices Using Functional Transformations
  • Per-sample-gradients

Data Processing

  • Auto Augmentation
  • Single-Node Data Cache
  • Optimizing the Data Processing

Model Inference

  • Inference Model Overview
  • Model Compression

Complex Problem Debugging

  • Using Dump in the Graph Mode
  • Ascend Optimization Engine (AOE)
  • Running Data Recorder
  • Fault Recovery
  • Feature Value Detection
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