Data Processing

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

Operator Execution

Operators Classification
Operation Overloading
Custom Operators (Ascend)
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

Reading IR
Using Dump in the Graph Mode
Custom Debugging Information
Incremental Operator Build
AutoTune
Dataset AutoTune for Dataset Pipeline

Distributed Parallel

Distributed Parallel Training Mode
Parallel Distributed Training Example (Ascend)
Distributed Parallel Training Example (GPU)
Distributed Inference
Saving and Loading Models in Hybrid Parallel Mode

Advanced Features

Enabling Mixed Precision
Gradient Accumulation Algorithm

MindSpore

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Distributed Parallel Training Mode
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Distributed Parallel Training Mode

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