Quantization Workflow Prerequisites

This table lists the products required to quantize and deploy deep learning networks.

	Execution Environment
Development Host Requirements	FPGA	GPU	CPU
Setup Toolkit Environment	hdlsetuptoolpath (HDL Coder) The quantization workflow does not support the MinGW C/C++ compiler. Use Microsoft Visual C++ 2017 or Microsoft Visual C++ 2015. 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 MinGW C/C++ compiler. Use Microsoft Visual C++ 2017 or Microsoft Visual C++ 2015. 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 MinGW C/C++ compiler. Use Microsoft Visual C++ 2017 or Microsoft Visual C++ 2015. For a list of supported compilers, see Supported and Compatible Compilers.
Required Products	Deep Learning Toolbox™ Deep Learning HDL Toolbox™	Deep Learning Toolbox	Deep Learning Toolbox
Required Support Packages	Deep Learning Toolbox Model Quantization Library Deep Learning HDL Toolbox Support Package for Xilinx® FPGA and SoC Devices Deep Learning HDL Toolbox Support Package for Intel® FPGA and SoC Devices	Deep Learning Toolbox Model Quantization Library	Deep Learning Toolbox Model Quantization Library
Required Add Ons	MATLAB® Coder™ Interface for Deep Learning Libraries	GPU Coder™ Interface for Deep Learning Libraries CUDA® enabled NVIDIA® GPU with compute capability 6.1, 6.3 or higher.	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)
Deployment	Deep Learning HDL Toolbox	GPU Coder	MATLAB Coder