| .. Licensed to the Apache Software Foundation (ASF) under one |
| or more contributor license agreements. See the NOTICE file |
| distributed with this work for additional information |
| regarding copyright ownership. The ASF licenses this file |
| to you under the Apache License, Version 2.0 (the |
| "License"); you may not use this file except in compliance |
| with the License. You may obtain a copy of the License at |
| |
| .. http://www.apache.org/licenses/LICENSE-2.0 |
| |
| .. Unless required by applicable law or agreed to in writing, |
| software distributed under the License is distributed on an |
| "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| KIND, either express or implied. See the License for the |
| specific language governing permissions and limitations |
| under the License. |
| |
| .. _vta-index: |
| |
| VTA: Deep Learning Accelerator Stack |
| ==================================== |
| |
| The Versatile Tensor Accelerator (VTA) is an open, generic, and customizable deep learning accelerator with a complete TVM-based compiler stack. We designed VTA to expose the most salient and common characteristics of mainstream deep learning accelerators. Together TVM and VTA form an end-to-end hardware-software deep learning system stack that includes hardware design, drivers, a JIT runtime, and an optimizing compiler stack based on TVM. |
| |
| .. image:: https://raw.githubusercontent.com/uwsampl/web-data/master/vta/blogpost/vta_overview.png |
| :align: center |
| :width: 60% |
| |
| VTA has the following key features: |
| |
| - Generic, modular, open-source hardware. |
| - Streamlined workflow to deploy to FPGAs. |
| - Simulator support to prototype compilation passes on regular workstations. |
| - Pynq-based driver and JIT runtime for both simulated and FPGA hardware back-end. |
| - End to end TVM stack integration. |
| |
| This page contains links to all the resources related to VTA: |
| |
| |
| .. toctree:: |
| :maxdepth: 1 |
| |
| install |
| dev/index |
| tutorials/index |
| |
| |
| Literature |
| ---------- |
| |
| - Read the VTA `release blog post`_. |
| - Read the VTA tech report: `An Open Hardware Software Stack for Deep Learning`_. |
| |
| .. _release blog post: https://tvm.apache.org/2018/07/12/vta-release-announcement |
| .. _An Open Hardware Software Stack for Deep Learning: https://arxiv.org/abs/1807.04188 |