MindSpore

Programming Forms

  • Programming Forms Overview

Data Processing

  • Data Processing Overview

Distributed Parallelism

  • Data Parallel
  • Operator-level Parallelism
  • Optimizer Parallel
  • Pipeline Parallel
  • Automatic Parallel Strategy Search

Compile

  • Graph Construction
  • Graph Optimization

Runtime

  • Memory Management
  • Multi-level Pipeline
  • Multi-stream Concurrency
  • Multi-backend Access
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Feature Description

Programming Forms
Provide dynamic and static unified programming form, which can take into account the development efficiency and execution performance.
Data Loading and Processing
Provide a high-performance data processing engine.
Distributed Parallelism
Distributed parallelism reduces the need for hardware such as memory and computational performance, providing powerful computational capabilities and performance advantages for processing large-scale data and complex models.
Compile
Describe the compilation composition and graph optimization features, including algebraic simplification and redundancy elimination.
Runtime
For the efficient execution of the model, providing memory management, multi-level streaming, multi-stream concurrency, and multi-backend access.
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