Deep learning library for simulation

Deep learning library to use during simulation

Model Configuration Pane: Simulation Target

Description

The Deep learning library parameter specifies the deep learning library to use during simulation. To enable the Deep learning library parameter, set Language to C++. When the Language is C, the Deep learning library parameter is hidden and the value of this parameter is None.

Dependencies

• When Language is set to C++ and GPU acceleration is disabled:

  • Default value for Target library is MKL-DNN.

  • Option None or MKL-DNN is available for Target library.

• When GPU acceleration on the Simulation Target pane is enabled (requires a GPU Coder™ license):

  • Default value for Target library is cuDNN.

  • Option None, cuDNN or TensorRT is available for Target library.

• If Target library is previously set to None, the value for Target library stays as None when GPU acceleration is enabled or disabled.

Settings

None | MKL-DNN | cuDNN | TensorRT

Default:

• None if GPU acceleration is off and Language is C.

• MKL-DNN if GPU acceleration is off and Language is C++.

• cuDNN if GPU acceleration is on.

None (since R2025a)

Simulates the model that is supported for generic C/C++ and plain CUDA workflows. For more information on networks and layers supported for code generation, see Supported Networks, Layers, and Classes (GPU Coder) and Networks and Layers Supported for Code Generation (MATLAB Coder).

MKL-DNN

Simulates the model using the Intel^® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN).

cuDNN

Simulate the model using the CUDA^® Deep Neural Network library (cuDNN).

TensorRT

Simulate the model using the NVIDIA^® TensorRT high performance deep learning inference optimizer and run-time library.

Recommended Settings

Application	Setting
Debugging	No impact
Traceability	No impact
Efficiency	No impact
Safety precaution	No impact

Programmatic Use

Parameter: SimDLTargetLibrary

Type: character vector

Value:'None' | 'MKL-DNN' | 'cuDNN' | 'TensorRT'

Default: 'None' for language C | 'MKL-DNN' for language C++

Version History

Introduced in R2020b

R2025a: Version History

Starting from R2025a, for models loaded from earlier releases where Simulink simulation target library is previously set to MKL-DNN and target language is C, the value of Deep learning library is set to None.