MindSpore

Design

  • MindSpore Design Overview
  • Functional and Object-Oriented Fusion Programming Paradigm
  • Combination of Dynamic and Static Graphs
  • Distributed Parallel Native
  • High Performance Data Processing Engine
  • Full-scenarios Unified Architecture
  • Graph-Kernel Fusion Acceleration Engine
  • Third-Party Hardware Interconnection
  • Glossary

Models

  • Official Models

API

  • mindspore
  • mindspore.nn
  • mindspore.ops
  • mindspore.ops.primitive
  • mindspore.amp
  • mindspore.train
  • mindspore.communication
  • mindspore.common.initializer
  • mindspore.dataset
  • mindspore.dataset.transforms
  • mindspore.mindrecord
  • mindspore.nn.probability
  • mindspore.rewrite
  • mindspore.boost
  • mindspore.numpy
  • mindspore.scipy
  • mindspore.experimental

API Mapping

  • PyTorch and MindSpore API Mapping Table

Migration Guide

  • Overview of Migration Guide
  • Environment Preparation and Information Acquisition
  • Model Analysis and Preparation
  • Differences between PyTorch and MindSpore
  • Constructing MindSpore Network
  • Debugging and Tuning
  • Network Migration Debugging Example
  • Application Practice Guide for Network Migration Tool
  • FAQs

Syntax Support

  • Static Graph Syntax Support
  • Static Graph Syntax - Operators
  • Static Graph Syntax - Python Statements
  • Static Graph Syntax - Python Built-in Functions
  • Tensor Index Support

Environment Variables

  • Environment Variables

FAQ

  • Installation
  • Data Processing
  • Implement Problem
  • Network Compilation
  • Operators Compile
  • Migration from a Third-party Framework
  • Performance Tuning
  • Precision Tuning
  • Distributed Parallel
  • Inference
  • Feature Advice

RELEASE NOTES

  • Release Notes
MindSpore
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  • MindSpore Documentation
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MindSpore Documentation

Design
The design concept of MindSpore's main functions to help framework developers better understand the overall architecture.
Model Libraries
Contains model examples and performance data for different domains.
API
MindSpore API description list.
API Mapping
API mapping between PyTorch and MindSpore provided by the community.
Migration Guide
The complete steps and considerations for migrating neural networks from other machine learning frameworks to MindSpore.
Syntax Support
Syntax support for static graphs, Tensor indexes, etc.
FAQ
Frequently asked questions and answers, including installation, data processing, compilation and execution, debugging and tuning, distributed parallelism, inference, etc.
RELEASE NOTES
Contains information on major features and augments, API changes for the release versions.

Click to download the API documentation

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