TI Deep Learning Product User Guide
Dependent Software Components for TIDL

Introduction

TIDL is packaged with SDK and already installed during SDK installation. It can be found inside ${PSDKRA_PATH}/tidl_< SOC >_xx_xx_xx_xx. Last few characters can be different depending on the version and device. User shall perform following steps to export required variables and install tools for ease of use.

Export the path of TIDL root directory as TIDL_INSTALL_PATH. All examples in this guide will use paths and filenames relative to this directory.

Linux users:
user@ubuntu-pc$ export TIDL_INSTALL_PATH=${PSDKRA_PATH}/tidl_< SOC >_xx_xx_xx_xx

To build tidlModelGraphviz tool, install graphviz-dev package and export the variable TIDL_GRAPHVIZ_PATH

user\@ubuntu-pc\$ sudo apt install graphviz-dev
user\@ubuntu-pc\$ export TIDL_GRAPHVIZ_PATH=/usr

Build the tidlModelGraphviz tool by running make in TIDL_INSTALL_PATH.

user\@ubuntu-pc\$ cd ${TIDL_INSTALL_PATH}
user\@ubuntu-pc\$ TARGET_PLATFORM=PC make gv

External Dependent Components

All the required software componets by TIDL-RT are packaged with SDK except below external components

Software componentVersion Purpose
Google Protobuf 3.11.3 Only for model compilation on X86
Google FlatBuffers1.12.0 Only for model compilation on X86
Open CV 4.1.0 Only for TIDL product Test bench both on X86 and cortex-A on TI device

TIDL Build Instructions describes how to install these components to build TIDL-RT.

Note: TIDL-RT package comes with pre-built binaries and libraries, so you need to download these components only if you need to re-build the TIDL-RT software.

Note: Open CV dependency arise because some of the examples in test application of TIDL product make use of functions from open cv to perform image processing operations. For an application to use TIDL product, it doesn't need to depend on openCV as long as the application can provide the required tensor input to TIDL-RT