MindSpore

Design

  • Functional Differential Programming
  • Distributed Training Design
  • MindSpore IR (MindIR)
  • Second Order Optimizer
  • Design of Visualization↗
  • Glossary

Specification

  • Benchmarks
  • Network List↗
  • API List
  • Syntax Support

API

  • mindspore
  • mindspore.amp
  • mindspore.common.initializer
  • mindspore.communication
  • mindspore.dataset
  • mindspore.dataset.audio
  • mindspore.dataset.config
  • mindspore.dataset.text
  • mindspore.dataset.transforms
  • mindspore.dataset.vision
  • mindspore.mindrecord
  • mindspore.nn
  • mindspore.nn.probability
  • mindspore.nn.transformer
  • mindspore.numpy
  • mindspore.ops
  • mindspore.ops.function
  • mindspore.rewrite
  • mindspore.scipy
  • mindspore.boost
  • C++ API↗

API Mapping

  • PyTorch and MindSpore API Mapping Table
  • TensorFlow and MindSpore API Mapping Table

Migration Guide

  • Overview
  • Environment Preparation and Information Acquisition
  • Model Analysis and Preparation
  • Constructing MindSpore Network
  • Debugging and Tuning
  • Network Migration Debugging Example
  • FAQs
  • Differences Between MindSpore and PyTorch
  • Using Third-party Operator Libraries Based on Customized Interfaces

FAQ

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

RELEASE NOTES

  • Release Notes
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