FPGA AI Suite: Version 2024.2 Release Notes

Download PDF
ID 772497
Date 9/06/2024
Public

A newer version of this document is available. Customers should click here to go to the newest version.

Document Table of Contents x
1. FPGA AI Suite Version 2024.2 Release Notes 2. FPGA AI Suite New Features and Enhancements 3. Changes in Software Behavior 4. Known Issues and Workarounds 5. FPGA AI Suite Installation Flows 6. Supported Models A. FPGA AI Suite Release Notes Archives B. FPGA AI Suite Version 2024.2 Release Notes Revision History
1. FPGA AI Suite Version 2024.2 Release Notes
2. FPGA AI Suite New Features and Enhancements
3. Changes in Software Behavior
4. Known Issues and Workarounds
5. FPGA AI Suite Installation Flows
6. Supported Models
A. FPGA AI Suite Release Notes Archives
B. FPGA AI Suite Version 2024.2 Release Notes Revision History

6. Supported Models

The FPGA AI Suite supports the following pretrained models from OpenVINO™ Model Zoo. Many other models not listed here are also supported.
Table 2.   OpenVINO™ Model Zoo 2023.3 LTS

Model Zoo 2023.3 LTS path

Model

Framework

public/mobilenet-v1-1.0-224

MobileNet V1

Caffe

public/mobilenet-v2

MobileNet V2

Caffe

public/mobilenet-v2-1.4-224

MobileNet V2

TensorFlow

public/mobilenet-v3-large-1.0-224-tf

MobileNet V3

TensorFlow

public/resnet-50-tf

ResNet-50

TensorFlow

intel/unet-camvid-onnx-0001

UNet

PyTorch

public/yolo-v3-tf

YOLO v3

TensorFlow

public/yolo-v3-tiny-tf

TinyYOLO v3

TensorFlow
  Yolo v8 (all heads) PyTorch
public/squeezenet1.1 SqueezeNet v1.1 Caffe
public/i3d_rgb_tf Inflated 3D (I3D) TensorFlow
  Multilayer Perceptrons (MLPs)  

Not all supplied IP configuration .arch files support all models. For a detailed list that shows performance/support for these models on each of the supplied IP configuration (.arch) files, refer to "Model Performance" in FPGA AI Suite IP Reference Manual .

Level Two Title