This is an automated email from the ASF dual-hosted git repository. tqchen pushed a commit to branch master in repository https://gitbox.apache.org/repos/asf/incubator-tvm-site.git
commit 4cc3a87c48fc5944ca2d67494d3f5d820c9c8c70 Author: tqchen <[email protected]> AuthorDate: Sun Mar 29 11:14:56 2020 -0700 Update homepage --- about.md | 12 +++++++----- index.html | 2 +- vta.md | 10 ++++++---- 3 files changed, 14 insertions(+), 10 deletions(-) diff --git a/about.md b/about.md index 7b4b075..3177774 100644 --- a/about.md +++ b/about.md @@ -7,19 +7,21 @@ description: "TVM" --- {% include JB/setup %} -# About TVM +# About Apache (incubating) TVM -TVM is an open deep learning compiler stack for CPUs, GPUs, and specialized accelerators. It aims to close the gap between the productivity-focused deep learning frameworks, +Apache(incubating) TVM is an open deep learning compiler stack for CPUs, GPUs, and specialized accelerators. It aims to close the gap between the productivity-focused deep learning frameworks, and the performance- or efficiency-oriented hardware backends. TVM provides the following main features: - Compilation of deep learning models in Keras, MXNet, PyTorch, Tensorflow, CoreML, DarkNet into minimum deployable modules on diverse hardware backends. - Infrastructure to automatic generate and optimize tensor operators on more backend with better performance. -TVM stack began as a research project at the [SAMPL group](https://sampl.cs.washington.edu/) of -Paul G. Allen School of Computer Science & Engineering, University of Washington. The project is now driven by an open source community involving multiple industry and academic institutions. -The project adopts [Apache-style merit based governace model](https://docs.tvm.ai/contribute/community.html). +TVM began as a research project at the [SAMPL group](https://sampl.cs.washington.edu/) of +Paul G. Allen School of Computer Science & Engineering, University of Washington. +The project is now an effort undergoing incubation at The Apache Software Foundation (ASF), +driven by an open source community involving multiple industry and academic institutions +under the Apache way. TVM provides two level optimizations show in the following figure. Computational graph optimization to perform tasks such as high-level operator fusion, layout transformation, and memory management. diff --git a/index.html b/index.html index 4328b1f..14273fd 100644 --- a/index.html +++ b/index.html @@ -8,7 +8,7 @@ description: "TVM" <div id="tvm-banner-container"> <div id="tvm-banner-title"> <p> - End to End Deep Learning Compiler Stack + Apache (incubating) TVM: An End to End Deep Learning Compiler Stack </p> <div id="tvm-banner-subtitle"> <p> diff --git a/vta.md b/vta.md index 5bdca4a..29994b6 100644 --- a/vta.md +++ b/vta.md @@ -9,7 +9,7 @@ description: "VTA" # About VTA -The Versatile Tensor Accelerator (VTA) is an extension of the TVM framework designed to advance deep learning and hardware innovation. +The Versatile Tensor Accelerator (VTA) is an extension of the Apache(incubating) TVM framework designed to advance deep learning and hardware innovation. VTA is a programmable accelerator that exposes a RISC-like programming abstraction to describe compute and memory operations at the tensor level. We designed VTA to expose the most salient and common characteristics of mainstream deep learning accelerators, such as tensor operations, DMA load/stores, and explicit compute/memory arbitration. VTA is more than a standalone accelerator design: it’s an end-to-end solution that includes drivers, a JIT runtime, and an optimizing compiler stack based on TVM. @@ -28,7 +28,9 @@ The VTA and TVM stack together constitute a blueprint for end-to-end, accelerato VTA is a component of TVM which was a research project at the [SAMPL group](https://sampl.cs.washington.edu/) of -Paul G. Allen School of Computer Science & Engineering, University of Washington. The project is now driven by an open source community involving multiple industry and academic institutions. -The project adopts [Apache-style merit based governace model](https://docs.tvm.ai/contribute/community.html). +Paul G. Allen School of Computer Science & Engineering, University of Washington. +TVM is now an effort undergoing incubation at The Apache Software Foundation (ASF), +driven by an open source community involving multiple industry and academic institutions +under the Apache way. -Read more about VTA in our [TVM blog post](https://tvm.ai/2018/07/12/vta-release-announcement.html), or in the [VTA techreport](https://arxiv.org/abs/1807.04188). +Read more about VTA in the [TVM blog post](https://tvm.ai/2018/07/12/vta-release-announcement.html), or in the [VTA techreport](https://arxiv.org/abs/1807.04188).
