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
MindSpore
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Feature Description
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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.