coder.DeepLearningConfig
Create deep learning code generation configuration objects
Description
creates a deep learning configuration object containing library-specific parameters that
deepLearningCfg
= coder.DeepLearningConfig(TargetLibrary = targetlib
)codegen
uses to generate code for deep neural
networks. Assign this deep learning configuration object to the
DeepLearningConfig
property of the code configuration object created by
using coder.config
. Pass the code configuration object
to the codegen
function by using the -config
option.
Examples
Input Arguments
Output Arguments
Version History
Introduced in R2018b
See Also
Functions
codegen
|imagePretrainedNetwork
(Deep Learning Toolbox)
Objects
coder.CodeConfig
|coder.loadDeepLearningNetwork
|coder.DeepLearningCodeConfig
|coder.MklDNNConfig
|coder.ARMNEONConfig
|coder.TensorRTConfig
|coder.CuDNNConfig
|coder.CMSISNNConfig
Topics
- Code Generation for Deep Learning Networks with MKL-DNN
- Code Generation for Deep Learning Networks with ARM Compute Library
- Generate Generic C/C++ Code for Deep Learning Networks
- Code Generation for Object Detection by Using YOLO v2
- Code Generation for Deep Learning Networks by Using cuDNN
- Code Generation for Deep Learning Networks by Using TensorRT