MindSpore

Data Processing

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

Graph Compilation

  • Process Control Statements
  • Compiling Performance Optimization for Static Graph Network
  • Customizing Reverse Propagation Function of Cell
  • Calling the Custom Class
  • Construct Constants In the Network
  • Dependency Control

Model Training Optimization

  • Enabling Mixed Precision
  • Gradient Accumulation Algorithm
  • Adaptive Gradient Summation Algorithm
  • Dimension Reduction Training Algorithm

Custom Operator

  • Custom Operators (Custom-based)

Model Inference

  • Inference Model Overview
  • Inference on a GPU
  • Inference on the Ascend 910 AI processor
  • Inference Using the MindIR Model on Ascend 310 AI Processors
  • Inference on the Ascend 310 AI Processor

Debugging and Tuning

  • Function Debug
  • Performance Tuning
  • Precision Optimization↗

Distributed Parallel

  • Distributed Parallel Training Mode
  • Distributed Case
  • Distributed Inference
  • Saving and Loading Models in Hybrid Parallel Mode
  • Multi Dimensional
  • Other Features

Environment Variables

  • Environment Variables
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