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1. FPGA AI Suite Getting Started Guide
2. FPGA AI Suite Components
3. FPGA AI Suite Installation Overview
4. Installing the FPGA AI Suite Compiler and IP Generation Tools
5. Installing the FPGA AI Suite PCIe-Based Design Example Prerequisites
6. FPGA AI Suite Quick Start Tutorial
7. Running the Hostless Memoryless Design Example
A. FPGA AI Suite Getting Started Guide Archives
B. FPGA AI Suite Getting Started Guide Document Revision History
4.1. Supported FPGA Families
4.2. Operating System Prerequisites
4.3. Installing the FPGA AI Suite with System Package Management Tools
4.4. Installing OpenVINO™ Toolkit
4.5. Installing Quartus® Prime Pro Edition Software
4.6. Setting Required Environment Variables
4.7. Installing Intel® Threading Building Blocks (TBB)
4.8. Finalizing Your FPGA AI Suite Installation
6.1. Creating a Working Directory
6.2. Preparing OpenVINO™ Model Zoo
6.3. Preparing a Model
6.4. Running the Graph Compiler
6.5. Preparing an Image Set
6.6. Programming the FPGA Device
6.7. Performing Inference on the PCIe-Based Example Design
6.8. Building an FPGA Bitstream for the PCIe Example Design
6.9. Building the Example FPGA Bitstreams
6.10. Preparing a ResNet50 v1 Model
6.11. Performing Inference on the Inflated 3D (I3D) Graph
6.12. Performing Inference on YOLOv3 and Calculating Accuracy Metrics
6.13. Performing Inference Without an FPGA Board
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4.8. Finalizing Your FPGA AI Suite Installation
To finalize your FPGA AI Suite Installation, verify your installation by running a dla_compiler command.
You can verify your installation by running the following command:
dla_compiler --fanalyze-area --march $COREDLA_ROOT/*/AGX7_Generic.arch
The dla_compiler command prepares deep learning models for consumption by the FPGA AI Suite IP, produces performance estimates, and produces area (or FPGA resource usage) estimates. This example command produces an area estimate for the IP configuration stored in the file AGX7_Generic.arch.
If this command runs successfully, your FPGA AI Suite installation was successful.