VTA: Open, Modular, Deep Learning Accelerator Stack

VTA(versatile tensor accelerator) is an open-source deep learning accelerator stack. It is not just an open-source hardware, but is an end to end solution that includes the entire software stack on top of VTA open-source hardware.

The key features include:

• Generic, modular open-source hardware
  • Streamlined workflow to deploy to FPGAs.
  • Simulator support
• Driver and JIT runtime for both simulated backend and FPGA.
• End to end TVM stack integration
  • Direct optimization and deploy models from deep learning frameworks via TVM stack.
  • Customized and extendible TVM compiler backend
  • Flexible RPC support to ease the deployment, you can program it with python :)

VTA is part of our effort on TVM Stack.

License

© Contributors, 2018. Licensed under an Apache-2.0 license.