Design

Technical White Paper
MindSpore Automatic Differentiation
Distributed Training Design
MindSpore IR (MindIR)
High Performance Data Processing Engine
Graph Kernel Fusion
Second Order Optimizer
Design of Visualization↗
Glossary

Note

Benchmarks
Network List
Operator List
Syntax Support
Environment Variables
API Mapping
- PyTorch and MindSpore
- TensorFlow and MindSpore

API

mindspore
mindspore.common.initializer
mindspore.communication
mindspore.context
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.functional
mindspore.parallel
mindspore.parallel.nn
mindspore.profiler
mindspore.scipy
mindspore.train
mindspore.boost (experimental)
C++ API↗

Migration Guide

Overview
Preparation
Network Script Analysis
Network Script Development
Network Debugging
Performance Profiling
Inference Execution
Network Migration Debugging Example

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

MindSpore

»
API Mapping
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API Mapping

Mapping between PyTorch APIs and MindSpore APIs, TensorFlow APIs and MindSpore APIs provided by the community.

PyTorch and MindSpore
TensorFlow and MindSpore

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