Vitis AI Compiler - 1.4.1 English

Vitis AI User Guide (UG1414)

Document ID
Release Date
1.4.1 English

The Vitis™ AI compiler (VAI_C) is the unified interface to a compiler family targeting the optimization of neural-network computations to a family of DPUs. Each compiler maps a network model to a highly optimized DPU instruction sequence.

The simplified description of VAI_C framework is shown in the following figure. After parsing the topology of optimized and quantized input model, VAI_C constructs an internal computation graph as intermediate representation (IR). Therefore, a corresponding control flow and a data flow representation. It then performs multiple optimizations, for example, computation nodes fusion such as when batch norm is fused into a presiding convolution, efficient instruction scheduling by exploit inherent parallelism, or exploiting data reuse.

Figure 1. Vitis AI Compiler Framework

The Vitis AI Compiler generates the compiled model based on the DPU microarchitecture. Vitis AI supports several DPUs for different platforms and applications.

Table 1. DPUs on Different Hardware Platforms
DPU Name Hardware platform
DPUCZDX8G Zynq® UltraScale+™ MPSoC
DPUCAHX8H Alveo™ U50, U280 Data Center accelerator cards
DPUCAHX8L Alveo U50, U280 Data Center accelerator cards
DPUCADF8H Alveo U200, U250 Data Center accelerator cards
DPUCVDX8G Versal® ACAP VCK190 evaluation board, Versal AI Core Series
DPUCVDX8H Versal ACAP VCK5000 evaluation kit