Metadata-Version: 2.1
Name: tvm
Version: 0.19.0
Summary: TVM: An End to End Tensor IR/DSL Stack for Deep Learning Systems
Home-page: https://tvm.apache.org/
Author: Apache TVM
License: Apache
Download-URL: https://github.com/apache/tvm/tags
Description: <!--- 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/tvm-site/main/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)
        
        [![Build Status](https://ci.tlcpack.ai/buildStatus/icon?job=tvm/main)](https://ci.tlcpack.ai/job/tvm/job/main/)
        [![WinMacBuild](https://github.com/apache/tvm/workflows/WinMacBuild/badge.svg)](https://github.com/apache/tvm/actions?query=workflow%3AWinMacBuild)
        
        Apache TVM 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
        -------
        TVM is licensed under the [Apache-2.0](LICENSE) license.
        
        Getting Started
        ---------------
        Check out the [TVM Documentation](https://tvm.apache.org/docs/) site for installation instructions, tutorials, examples, and more.
        The [Getting Started with TVM](https://tvm.apache.org/docs/tutorial/introduction.html) tutorial is a great
        place to start.
        
        Contribute to TVM
        -----------------
        TVM adopts apache committer model, we aim to create an open source project that is maintained and owned by the community.
        Check out 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.
        
Keywords: machine learning
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Description-Content-Type: text/markdown
Provides-Extra: all-prod
Provides-Extra: dev
Provides-Extra: ethosu
Provides-Extra: importer-caffe
Provides-Extra: importer-caffe2
Provides-Extra: importer-coreml
Provides-Extra: importer-darknet
Provides-Extra: importer-keras
Provides-Extra: importer-onnx
Provides-Extra: importer-paddle
Provides-Extra: importer-pytorch
Provides-Extra: importer-tensorflow
Provides-Extra: importer-tflite
Provides-Extra: tvmc
Provides-Extra: vitis-ai
Provides-Extra: xgboost
