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README.md

1<!--- Licensed to the Apache Software Foundation (ASF) under one -->
2<!--- or more contributor license agreements.  See the NOTICE file -->
3<!--- distributed with this work for additional information -->
4<!--- regarding copyright ownership.  The ASF licenses this file -->
5<!--- to you under the Apache License, Version 2.0 (the -->
6<!--- "License"); you may not use this file except in compliance -->
7<!--- with the License.  You may obtain a copy of the License at -->
8
9<!---   http://www.apache.org/licenses/LICENSE-2.0 -->
10
11<!--- Unless required by applicable law or agreed to in writing, -->
12<!--- software distributed under the License is distributed on an -->
13<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
14<!--- KIND, either express or implied.  See the License for the -->
15<!--- specific language governing permissions and limitations -->
16<!--- under the License. -->
17
18<img src=https://raw.githubusercontent.com/apache/incubator-tvm-site/master/images/logo/tvm-logo-small.png width=128/> Open Deep Learning Compiler Stack
19==============================================
20[Documentation](https://docs.tvm.ai) |
21[Contributors](CONTRIBUTORS.md) |
22[Community](https://tvm.apache.org/community) |
23[Release Notes](NEWS.md)
24
25[![Build Status](https://ci.tvm.ai/buildStatus/icon?job=tvm/master)](https://ci.tvm.ai/job/tvm/job/master/)
26[![Azure Pipeline](https://dev.azure.com/tvmai/tvm/_apis/build/status/windows_mac_build?branchName=master)](https://dev.azure.com/tvmai/tvm/_build/latest?definitionId=2&branchName=master)
27
28Apache TVM (incubating) is a compiler stack for deep learning systems. It is designed to close the gap between the
29productivity-focused deep learning frameworks, and the performance- and efficiency-focused hardware backends.
30TVM works with deep learning frameworks to provide end to end compilation to different backends.
31
32License
33-------
34© Contributors Licensed under an [Apache-2.0](LICENSE) license.
35
36Contribute to TVM
37-----------------
38TVM adopts apache committer model, we aim to create an open source project that is maintained and owned by the community.
39Checkout the [Contributor Guide](https://docs.tvm.ai/contribute/)
40
41Acknowledgement
42---------------
43We learned a lot from the following projects when building TVM.
44- [Halide](https://github.com/halide/Halide): TVM uses [HalideIR](https://github.com/dmlc/HalideIR) as data structure for
45  arithmetic simplification and low level lowering. We also learned and adapted some part of lowering pipeline from Halide.
46- [Loopy](https://github.com/inducer/loopy): use of integer set analysis and its loop transformation primitives.
47- [Theano](https://github.com/Theano/Theano): the design inspiration of symbolic scan operator for recurrence.
48