tqchen commented on a change in pull request #7612: URL: https://github.com/apache/tvm/pull/7612#discussion_r590902741
########## File path: tutorials/get_started/introduction.py ########## @@ -0,0 +1,137 @@ +# 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. +""" +Introduction +============ +**Authors**: +`Jocelyn Shiue <https://github.com/>`_, +`Chris Hoge <https://github.com/hogepodge>`_ + +Apache TVM is an open source machine learning compiler framework for CPUs, +GPUs, and machine learning accelerators. It aims to enable machine learning +engineers to optimize and run computations efficiently on any hardware backend. +The purpose of this tutorial is to take a guided tour through all of the major +features of TVM by defining and demonstrating key concepts. A new user should +be able to work through the tutorial from start to finish and be able to +operate TVM for automatic model optimization, while having a basic +understanding of the TVM architecture and how it works. + +Contents +-------- + +#. :doc:`Introduction <introduction>` +#. :doc:`Installing TVM <install>` +#. :doc:`Compiling and Optimizing a Model with TVMC <tvmc_command_line_driver>` +#. :doc:`Compiling and Optimizing a Model with the Python AutoScheduler <auto_tuning_with_python>` +#. :doc:`Working with Operators Using Tensor Expressions <tensor_expr_get_started>` +#. :doc:`Optimizing Operators with Templates and AutoTVM <autotvm_matmul>` +#. :doc:`Optimizing Operators with AutoScheduling <tune_matmul_x86>` +#. :doc:`Cross Compilation and Remote Procedure Calls (RPC) <cross_compilation_and_rpc>` +#. :doc:`Compiling Deep Learning Models for GPUs <relay_quick_start>` +""" + +################################################################################ +# An Overview of TVM and Model Optimization +# ========================================= +# +# The diagram below illustrates the steps a machine model takes as it is +# transformed with the TVM optimizing compiler framework. +# +# .. image:: /_static/img/tvm.png Review comment: Thanks Chris, please send the binary image to a separate repo(e.g. https://github.com/tlc-pack/web-data) and refer to it using a https link. We cannot checkin binary data(images) into the code repo ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
