Was looking into Renesas again to see if any other info around.
I found their DRP AI uses EdgeCortix in one component and maybe
@Diogenese can elaborate on any overlap with Akida functions or shows this DRP not using Akida?
Or, is the TVM just a compiler / converter as how I read it?
TIA.
Next Wave of Generative AI at the Edge. Introducing SAKURA-II, the world’s most flexible and energy-efficient AI accelerator.
www.edgecortix.com
Features of DRP-AI
DRP-AI consists of AI-MAC (multiply-accumulate processor) and DRP (reconfigurable processor). AI processing can be executed at high speed by assigning AI-MAC for operations on the convolution layer and fully connected layer, and DRP for other complex processing such as preprocessing and pooling layer
Tool: DRP-AI Translator / DRP-AI TVM※1
DRP-AI Translator and DRP-AI TVM are tools that are available to convert trained AI models into a format that can run on DRP-AI. This section describes the features of these two tools.
The DRP-AI Translator is a tool that is tuned to maximize DRP-AI performance. DRP-AI achieves high-speed performance, low power consumption and reduced CPU load by enabling DRP-AI to perform all the operations of an AI model.
DRP-AI TVM applies the DRP-AI accelerator to the proven ML compiler framework Apache TVM※2」. This enables support for multiple AI frameworks (ONNX, PyTorch, TensorFlow, etc.). In addition, it enables operation in conjunction with the CPU, allowing more AI models to be run.
These two tools can be selected according to the customer's product application.
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*1 DRP-AI TVM is powered by EdgeCortix MERATM Compiler Framework
2 For more information on Apache TVM, please refer to
https://tvm.apache.org