Quantization Workflow Prerequisites
This table lists the products required to quantize and deploy deep learning networks.
Execution Environment | ||||
Development Host Requirements | FPGA | GPU | CPU | MATLAB |
Setup Toolkit Environment |
The quantization
workflow does not support the For a list of supported compilers, see Supported and Compatible Compilers. | Setting Up the Prerequisite Products (GPU Coder) The quantization workflow does not support the
For a list of supported compilers, see Supported and Compatible Compilers. | Prerequisites for Deep Learning with MATLAB Coder (MATLAB Coder) The quantization workflow does not support the
For a list of supported compilers, see Supported and Compatible Compilers. Only Raspberry Pi™ with ARM® v7 architecture is supported. The ARM Compute Library version 20.02.1 for deep learning quantized inference. | The quantization workflow does not support the For a list of supported compilers, see Supported and Compatible Compilers. |
Required Products |
| Deep Learning Toolbox |
| Deep Learning Toolbox |
Required Support Packages |
| Deep Learning Toolbox Model Quantization Library | Deep Learning Toolbox Model Quantization Library | Deep Learning Toolbox Model Quantization Library |
Required Add Ons | MATLAB® Coder™ Interface for Deep Learning Libraries |
| MATLAB Coder Interface for Deep Learning Libraries | MATLAB Coder Interface for Deep Learning Libraries |
Supported Networks and Layers | Supported Networks, Layers, Boards, and Tools (Deep Learning HDL Toolbox) | Supported Networks, Layers, and Classes (GPU Coder) | Networks and Layers Supported for Code Generation (MATLAB Coder) | Networks and Layers Supported for Code Generation (MATLAB Coder) Note When MATLAB is the Execution Environment, only the layers for the Intel MKL-DNN deep learning library are supported. |
Deployment | Deep Learning HDL Toolbox | GPU Coder | MATLAB
Coder Note Before validation, you must create a | None |