guberti commented on code in PR #10921: URL: https://github.com/apache/tvm/pull/10921#discussion_r865195926
########## gallery/how_to/work_with_microtvm/micro_train.py: ########## @@ -0,0 +1,638 @@ +# 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. +""" +.. _microtvm-train-arduino: + +Training Vision Models for microTVM on Arduino +============================================== +**Author**: `Gavin Uberti <https://github.com/guberti>`_ + +This tutorial shows how MobileNetV1 models can be trained +to fit on embedded devices, and how those models can be +deployed to Arduino using TVM. +""" + +###################################################################### +# .. note:: +# +# This tutorial is best viewed as a Jupyter Notebook. You can download and run it locally +# using the link at the bottom of this page, or open it online for free using Google Colab. +# Click the icon below to open in Google Colab. +# +# .. image:: https://raw.githubusercontent.com/guberti/web-data/micro-train-tutorial-data/images/utilities/colab_button.png +# :align: center +# :target: https://colab.research.google.com/github/guberti/tvm-site/blob/asf-site/docs/_downloads/a7c7ea4b5017ae70db1f51dd8e6dcd82/micro_train.ipynb +# :width: 600px Review Comment: Yea, 600px is pretty big. Fixed. -- 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. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
