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Vitis AI 2.5 Release
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@hanxue hanxue released this 16 Jun 01:34
· 84 commits to master since this release
v2.5
c26eae3

New Features/Highlights

AI Model Zoo added 14 new models, including BERT-based NLP, Vision Transformer (ViT), Optical Character Recognition (OCR), Simultaneous Localization and Mapping (SLAM), and more Once-for-All (OFA) models
Added 38 base & optimized models for AMD EPYC server processors
AI Quantizer added model inspector, now supports TensorFlow 2.8 and Pytorch 1.10
Whole Graph Optimizer (WeGO) supports Pytorch 1.x and TensorFlow 2.x
Deep Learning Processing Unit (DPU) for Versal® ACAP supports multiple compute units (CU), new Arithmetic Logic Unit (ALU) engine, Depthwise convolution and more operators supported by the DPUs on VCK5000 and Alveo™ data center accelerator cards
Inference server supports ZenDNN as backend on AMD EPYC™ server processors
New examples added to Whole Application Acceleration (WAA) for VCK5000 Versal development card and Zynq® UltraScale+™ evaluation kits

Release Notes

AI Model Zoo

Added 14 new models, and 134 models in total
Expanded model categories for diverse AI workloads :
    Added models for data center application requirements including text detection and end-to-end OCR
    Added BERT-based NLP and Vision Transformer (ViT) models on VCK5000
    More OFA-optimized models, including OFA-RCAN for Super-Resolution and OFA-YOLO for Object Detection
    Added models for industrial vision and SLAM, including Interest Point Detection & Description model and Hierarchical Localization model.
Added 38 base & optimized models for AMD EPYC CPU
EoU enhancement:
    Improved model index by application categories

AI Quantizer-CNN

Added Model Inspector that inspects a float model and shows partition results
Support Tensorflow 2.8 and Pytorch 1.10
Support float-scale and per-channel quantization
Support configuration for different quantize strategies

AI Optimizer

OFA enhancement:
    Support even kernel size of convolution
    Support ConvTranspose2d
    Updated examples
One-step and iterative pruning enhancement:
    Resumed model analysis or search after exception

AI Compiler

Support ALU for DPUCZDX8G
Support new models

AI Library / VART

Added 6 new model libraries and support 17 new models
Custom Op Enhancement
Added new CPU operators
Xdputil Tool Enhancement
Two new demos on VCK190 Versal development board

AI Profiler

Full support on custom OP and Graph Runner
Stability optimization

Edge DPU-DPUCZDX8G

New ALU engine to replace pool engine and DepthWiseConv engine in MISC:
    ALU: support new features, e.g. large-kernel-size MaxPool, AveragePool, rectangle-kernel-size AveragePool, 16bit const weights
    ALU: support HardSigmoid and HardSwish
    ALU: support DepthwiseConv + LeakyReLU
    ALU: support the parallelism configuration
DPU IP and TRD on ZCU102 with encrypted RTL IP based on 2022.1 Vitis platform

Edge DPU-DPUCVDX8G

Optimized ALU that better support features like channel-attention
Support multiple compute units
Support DepthwiseConv + LeakyReLU
Support Versal DPU IP and TRD on VCK190 with encrypted RTL and AIE code which still in C32B1-6/C64B1-5, and based on 2022.1 Vitis platform

Cloud DPU-DPUCVDX8H

Enlarged DepthWise convolution kernel size that ranges from 1x1 to 8x8
Support AIE based pooling and ElementWise add & multiply, and big kernel size pooling
Support more DepthWise convolution kernel sizes

Cloud DPU-DPUCADF8H

Support ReLU6/LeakyReLU and MobileNet series models
Fixed the issue of missing directories in some cases in the .XO flow

Whole Graph Optimizer (WeGO)

Support PyTorch 1.x and TensorFlow 2.x in-framework inference
Added 19 PyTorch 1.x/Tensorflow 2.x/Tensorflow 1.x examples, including classification, object detection, segmentation and more

Inference Server

Added gRPC API to inference server flow
Support Tensorflow/Pytorch
Support AMD ZenDNN as backend

WAA

New examples for VCK5000 & ZCU104 - ResNet & adas_detection
New ResNet example containing AIE based pre-prorcessing kernel
Xclbin generation using Pre-built DPU flow for ZCU102/U50 ResNet and adas_detection applications
Xclbin generation using build flow for ZCU104/VCK190 ResNet and adas_detection applications
Porting of all VCK190 examples from ES1 to production version and use base platform instead of custom platform
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