<!--- 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. --> <img src=https://raw.githubusercontent.com/apache/incubator-tvm-site/master/images/logo/tvm-logo-small.png width=128/> Open Deep Learning Compiler Stack ============================================== [Documentation](https://tvm.apache.org/docs) | [Contributors](CONTRIBUTORS.md) | [Community](https://tvm.apache.org/community) | [Release Notes](NEWS.md) [](https://ci.tvm.ai/job/tvm/job/master/) [](https://github.com/apache/incubator-tvm/actions?query=workflow%3AWinMacBuild) Apache TVM (incubating) is a compiler stack for deep learning systems. It is designed to close the gap between the productivity-focused deep learning frameworks, and the performance- and efficiency-focused hardware backends. TVM works with deep learning frameworks to provide end to end compilation to different backends. License ------- © Contributors Licensed under an [Apache-2.0](LICENSE) license. Contribute to TVM ----------------- TVM adopts apache committer model, we aim to create an open source project that is maintained and owned by the community. Checkout the [Contributor Guide](https://tvm.apache.org/docs/contribute/) Acknowledgement --------------- We learned a lot from the following projects when building TVM. - [Halide](https://github.com/halide/Halide): Part of TVM's TIR and arithmetic simplification module originates from Halide. We also learned and adapted some part of lowering pipeline from Halide. - [Loopy](https://github.com/inducer/loopy): use of integer set analysis and its loop transformation primitives. - [Theano](https://github.com/Theano/Theano): the design inspiration of symbolic scan operator for recurrence.