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Auto tuning

Enable auto tuning for the cuDNN library to find the fastest convolution algorithms

Since R2020b

Model Configuration Pane: Simulation Target

Description

The Auto tuning parameter specifies whether to use auto tuning for cuDNN library. Enabling auto tuning allows the cuDNN library to find the fastest convolution algorithms.

Dependencies

  • This parameter requires a GPU Coder™ license.

  • To enable this parameter, select C++ for the Language and cuDNN for Target library.

Settings

on (default) | off

Default: On

On

Use this option to enable auto tuning feature. Enabling auto tuning allows the cuDNN library to find the fastest convolution algorithms. This increases performance for larger networks such as SegNet and ResNet.

Off

Disable auto tuning for the cuDNN library.

Recommended Settings

ApplicationSetting
DebuggingNo impact
TraceabilityNo impact
EfficiencyNo impact
Safety precautionNo impact

Programmatic Use

Parameter: SimDLAutoTuning
Value: 'on' | 'off'
Default: 'on'

Version History

Introduced in R2020b