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Quantization Workflow Prerequisites

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

 Execution Environment
Development Host RequirementsFPGAGPUCPU
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 LayersSupported Networks, Layers, Boards, and ToolsSupported Networks, Layers, and Classes (GPU Coder)Networks and Layers Supported for Code Generation (MATLAB Coder)
Deployment

Deep Learning HDL Toolbox

GPU Coder

MATLAB Coder