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Commit bd5639d3 authored by Yifan Zhao's avatar Yifan Zhao
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Moved installation under getting-started

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Install
Building HPVM
===============
Dependencies
......
Getting Started
===============
This tutorial covers the basic usage of all components in HPVM
(components listed :doc:`here </components/index>`).
We will generate a DNN model, VGG16 (for CIFAR10 dataset), into HPVM code, compile it with HPVM,
This tutorial explains how to build and use HPVM.
* Before you proceed, check out the :doc:`build instruction for HPVM <build-hpvm>`.
To demonstrate the workflow,
we will generate a DNN model, VGG16 (for CIFAR10 dataset), into HPVM code, compile it with HPVM,
perform autotuning on the compiled binary to find approximation choices (configurations),
and profile the selected configurations to get real performance on device.
The result will be a figure showing the accuracy-performance tradeoff of VGG16 over the
(pre-defined) approximations and the configurations in a few formats.
Please check ``test/dnn_benchmarks/model_params/`` exists and contains
``vgg16_cifar10/`` and ``pytorch/vgg16_cifar10.pth.tar``,
which may not be the case if you opted out of model parameter download in the installer.
In that case, you may run the installer again to download the parameter.
It will not rebuild everything from scratch.
* Please check ``test/dnn_benchmarks/model_params/`` exists and contains
``vgg16_cifar10/`` and ``pytorch/vgg16_cifar10.pth.tar``,
which may not be the case if you opted out of model parameter download in the installer.
In that case, you may run the installer again to download the parameter.
It will not rebuild everything from scratch.
Generating and Compiling a DNN Model
------------------------------------
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......@@ -45,11 +45,13 @@ and experiment with new custom approximation techniques.
Documentation
-------------
Please refer to :doc:`getting-started` for how to build and use HPVM.
.. toctree::
:maxdepth: 1
install
getting-started
build-hpvm
FAQs<faqs>
components/index
specifications/index
......
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