Auto deploy API docs (#15088)

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Nat Kershaw (MSFT) 2023-03-23 15:08:49 -07:00 committed by GitHub
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7 changed files with 204 additions and 190 deletions

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name: Update C/C++ API Docs
# Run when the C API changes or every month so that the artifact does not expire
on:
push:
branches:
- main
paths:
- include/onnxruntime/core/session
schedule:
- cron: '0 0 1 * *'
workflow_dispatch:
concurrency:
group: "apidocs-c"
cancel-in-progress: false
permissions:
contents: write
jobs:
publish:
build:
name: Generate C/C++ API docs
runs-on: ubuntu-latest
steps:
@ -21,27 +31,21 @@ jobs:
sudo apt-get install libclang-cpp14
wget https://www.doxygen.nl/files/doxygen-1.9.6.linux.bin.tar.gz
tar xvzf doxygen-1.9.6.linux.bin.tar.gz
- name: Set commit ID
id: vars
run: echo "::set-output name=sha_short::$(git rev-parse --short HEAD)"
- name: Run doxygen
run: |
mkdir -p build/doxygen
cd docs/c_cxx
../../doxygen-1.9.6/bin/doxygen
- uses: actions/checkout@v2
with:
ref: gh-pages
clean: false
- name: Move API docs into target area
- name: Log source commit
run: git rev-parse --short HEAD > build/doxygen/html/source-version.txt
- name: Move C/C++ docs into site
run: |
rm -rf docs/api/c
mv build/doxygen/html docs/api/c
- name: Create Pull Request
uses: peter-evans/create-pull-request@v3
mkdir -p _site/docs/api
rm -rf site/docs/api/c
mv build/doxygen/html _site/docs/api/c
- name: Upload new site
uses: actions/upload-artifact@v3
with:
branch: gh-pages-pr-c-docs
base: gh-pages
title: '[Automated]: Update C/C++ API docs'
commit-message: 'Update C/C++ API docs to commit ${{ steps.vars.outputs.sha_short }}'
add-paths: docs/api/c
name: onnxruntime-c-apidocs
path: _site
retention-days: 60

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@ -1,11 +1,28 @@
name: Update C# API Docs
# Run when the C# API changes or every month so that the artifact does not expire
on:
push:
branches:
- main
paths:
- csharp
schedule:
- cron: '0 0 1 * *'
workflow_dispatch:
concurrency:
group: "apidocs-csharp"
cancel-in-progress: false
permissions:
contents: write
jobs:
publish:
runs-on: windows-latest
build:
runs-on: ubuntu-latest
env:
DOCFXVERSION: 2.62.2
steps:
- uses: actions/checkout@v3
- name: Setup .NET
@ -17,39 +34,25 @@ jobs:
- name: Download DocFX
run: |
mkdir -p build/docfx
Invoke-WebRequest -Uri "https://github.com/dotnet/docfx/releases/download/v${env:DOCFXVERSION}/docfx.zip" -OutFile "build/docfx/docfx.zip"
[System.IO.Compression.ZipFile]::ExtractToDirectory("build/docfx/docfx.zip", "build/docfx" )
cd build/docfx
ls
env:
DOCFXVERSION: 2.59.3
wget https://github.com/dotnet/docfx/releases/download/v${DOCFXVERSION}/docfx-linux-x64-v${DOCFXVERSION}.zip -O build/docfx/docfx.zip
unzip build/docfx/docfx.zip -d build/docfx
- name: Install NuGet
uses: nuget/setup-nuget@v1
- name: Build Documentation
run: |
ls
build/docfx/docfx.exe metadata csharp/ApiDocs/docfx.json
build/docfx/docfx metadata csharp/ApiDocs/docfx.json
dotnet build csharp/ApiDocs/ApiDocs.csproj --no-restore
build/docfx/docfx.exe build csharp/ApiDocs/docfx.json
- name: Set commit ID
id: vars
run: echo "::set-output name=sha_short::$(git rev-parse --short HEAD)"
- uses: actions/checkout@v2
with:
ref: gh-pages
clean: false
- name: Move API docs into target area
build/docfx/docfx build csharp/ApiDocs/docfx.json
- name: Log source commit
run: git rev-parse --short HEAD > csharp/ApiDocs/csharp/source-version.txt
- name: Move C# docs into site
run: |
if (Test-Path -Path docs/api/csharp) {rm -r -fo docs/api/csharp}
MOVE csharp/ApiDocs/csharp docs/api
rm -r -fo csharp/ApiDocs
rm -r -fo csharp/src
- name: Git Checkin
run: git add .
- name: Create Pull Request
uses: peter-evans/create-pull-request@v3
mkdir -p _site/docs/api
rm -rf _site/docs/api/csharp
mv csharp/ApiDocs/csharp _site/docs/api/csharp
- name: Upload docs artifact
uses: actions/upload-artifact@v3
with:
branch: gh-pages-pr-csharp-docs
base: gh-pages
title: '[Automated]: Update C# API docs'
commit-message: 'Update C# API docs to commit ${{ steps.vars.outputs.sha_short }}'
name: onnxruntime-csharp-apidocs
path: _site
retention-days: 60

101
.github/workflows/publish-gh-pages.yml vendored Normal file
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# Sample workflow for building and deploying a Jekyll site to GitHub Pages
name: Publish site
on:
# Runs on pushes targeting the branch where the website sources live
push:
branches: ["gh-pages"]
# Allows you to run this workflow manually from the Actions tab
workflow_dispatch:
# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
permissions:
contents: read
pages: write
id-token: write
# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
concurrency:
group: "pages"
cancel-in-progress: false
jobs:
# Build job
build:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v3
with:
ref: gh-pages
- name: Setup Pages
uses: actions/configure-pages@v3
- name: Build with Jekyll
uses: actions/jekyll-build-pages@v1
with:
source: ./
destination: ./_site
- name: Download C apidocs artifact
uses: dawidd6/action-download-artifact@v2
with:
name: onnxruntime-c-apidocs
workflow: publish-c-apidocs.yml
branch: main
path: apidocs
- name: Download C# apidocs artifact
uses: dawidd6/action-download-artifact@v2
with:
name: onnxruntime-csharp-apidocs
workflow: publish-csharp-apidocs.yml
branch: main
path: apidocs
- name: Download Java apidocs artifact
uses: dawidd6/action-download-artifact@v2
with:
name: onnxruntime-java-apidocs
workflow: publish-java-apidocs.yml
branch: main
path: apidocs
- name: Download Python apidocs artifact
uses: dawidd6/action-download-artifact@v2
with:
name: onnxruntime-python-apidocs
workflow: publish-python-apidocs.yml
branch: main
path: apidocs
- name: Move apidocs folder into place
run: |
sudo rm -rf _site/docs/api/c
sudo mv apidocs/docs/api/c _site/docs/api
sudo rm -rf _site/docs/api/csharp
sudo mv apidocs/docs/api/csharp _site/docs/api
sudo rm -rf _site/docs/api/java
sudo mv apidocs/docs/api/java _site/docs/api
sudo rm -rf _site/docs/api/python
sudo mv apidocs/docs/api/python _site/docs/api
- name: Upload site
uses: actions/upload-pages-artifact@v1
with:
retention-days: 21
# Deployment job
deploy:
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
runs-on: ubuntu-latest
needs: build
steps:
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v1

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@ -1,21 +1,25 @@
name: Update Java API Docs
# Run when the Java API changes or every month so that the artifact does not expire
on:
push:
branches:
- main
paths:
- java
schedule:
- cron: '0 0 1 * *'
workflow_dispatch:
concurrency:
group: "apidocs-java"
cancel-in-progress: true
cancel-in-progress: false
permissions:
contents: write
jobs:
publish:
build:
name: Generate Java docs
runs-on: ubuntu-latest
steps:
@ -31,15 +35,16 @@ jobs:
build-root-directory: java
gradle-executable: java/gradlew
arguments: javadoc
- name: Get source commit
id: vars
run: echo "::set-output name=sha_short::$(git rev-parse --short HEAD)"
- name: Log source commit
run: echo $(git rev-parse --short HEAD) > java/build/docs/javadoc/version.txt
- name: Deploy
uses: JamesIves/github-pages-deploy-action@v4
run: git rev-parse --short HEAD > java/build/docs/javadoc/source-version.txt
- name: Move Java docs into site
run: |
rm -rf _site/docs/api/java
mkdir -p _site/docs/api
mv java/build/docs/javadoc _site/docs/api/java
- name: Upload new site
uses: actions/upload-artifact@v3
with:
branch: gh-pages
folder: java/build/docs/javadoc
target-folder: docs/api/java
clean: true
name: onnxruntime-java-apidocs
path: _site
retention-days: 60

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@ -1,12 +1,25 @@
name: Update Python API Docs
# Run when the Python API changes or every month so that the artifact does not expire
on:
push:
branches:
- main
paths:
- onnxruntime/python
schedule:
- cron: '0 0 1 * *'
workflow_dispatch:
concurrency:
group: "apidocs-python"
cancel-in-progress: true
permissions:
contents: write
jobs:
publish:
build:
name: Generate Python API docs
runs-on: ubuntu-latest
steps:
@ -27,23 +40,16 @@ jobs:
run: |
cd tools/doc
./builddoc.sh /usr/bin ../.. ../../build
- name: Set vars
id: vars
run: echo "::set-output name=sha_short::$(git rev-parse --short HEAD)"
- uses: actions/checkout@v2
with:
ref: gh-pages
clean: false
- name: Move API docs into target area
- name: Log source commit
run: git rev-parse --short HEAD > build/docs/inference/html/source-version.txt
- name: Move Python docs into site
run: |
ls docs/api
rm -rf docs/api/python
mv build/docs/inference/html docs/api/python
- name: Create Pull Request
uses: peter-evans/create-pull-request@v3
rm -rf _site/docs/api/python
mkdir -p _site/docs/api
mv build/docs/inference/html _site/docs/api/python
- name: Upload docs artifact
uses: actions/upload-artifact@v3
with:
branch: gh-pages-pr-python-docs
base: gh-pages
title: '[Automated]: Update Python API docs'
commit-message: 'Update Python API docs to commit ${{ steps.vars.outputs.sha_short }}'
add-paths: docs/api/python
name: onnxruntime-python-apidocs
path: _site
retention-days: 60

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@ -1,104 +0,0 @@
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
"""
Train, convert and predict with ONNX Runtime
============================================
This example demonstrates an end to end scenario
starting with the training of a scikit-learn pipeline
which takes as inputs not a regular vector but a
dictionary ``{ int: float }`` as its first step is a
`DictVectorizer <http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html>`_.
.. contents::
:local:
Train a pipeline
++++++++++++++++
The first step consists in retrieving the boston datset.
"""
import pandas
from sklearn.datasets import load_boston
boston = load_boston()
X, y = boston.data, boston.target
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y)
X_train_dict = pandas.DataFrame(X_train[:, 1:]).T.to_dict().values()
X_test_dict = pandas.DataFrame(X_test[:, 1:]).T.to_dict().values()
####################################
# We create a pipeline.
from sklearn.ensemble import GradientBoostingRegressor
from sklearn.feature_extraction import DictVectorizer
from sklearn.pipeline import make_pipeline
pipe = make_pipeline(DictVectorizer(sparse=False), GradientBoostingRegressor())
pipe.fit(X_train_dict, y_train)
####################################
# We compute the prediction on the test set
# and we show the confusion matrix.
from sklearn.metrics import r2_score
pred = pipe.predict(X_test_dict)
print(r2_score(y_test, pred))
####################################
# Conversion to ONNX format
# +++++++++++++++++++++++++
#
# We use module
# `sklearn-onnx <https://github.com/onnx/sklearn-onnx>`_
# to convert the model into ONNX format.
from skl2onnx import convert_sklearn
from skl2onnx.common.data_types import DictionaryType, FloatTensorType, Int64TensorType, SequenceType
# initial_type = [('float_input', DictionaryType(Int64TensorType([1]), FloatTensorType([])))]
initial_type = [("float_input", DictionaryType(Int64TensorType([1]), FloatTensorType([])))]
onx = convert_sklearn(pipe, initial_types=initial_type)
with open("pipeline_vectorize.onnx", "wb") as f:
f.write(onx.SerializeToString())
##################################
# We load the model with ONNX Runtime and look at
# its input and output.
import onnxruntime as rt
from onnxruntime.capi.onnxruntime_pybind11_state import InvalidArgument
sess = rt.InferenceSession("pipeline_vectorize.onnx", providers=rt.get_available_providers())
import numpy
inp, out = sess.get_inputs()[0], sess.get_outputs()[0]
print("input name='{}' and shape={} and type={}".format(inp.name, inp.shape, inp.type))
print("output name='{}' and shape={} and type={}".format(out.name, out.shape, out.type))
##################################
# We compute the predictions.
# We could do that in one call:
try:
pred_onx = sess.run([out.name], {inp.name: X_test_dict})[0]
except (RuntimeError, InvalidArgument) as e:
print(e)
#############################
# But it fails because, in case of a DictVectorizer,
# ONNX Runtime expects one observation at a time.
pred_onx = [sess.run([out.name], {inp.name: row})[0][0, 0] for row in X_test_dict]
###############################
# We compare them to the model's ones.
print(r2_score(pred, pred_onx))
#########################
# Very similar. *ONNX Runtime* uses floats instead of doubles,
# that explains the small discrepencies.

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Gallery of examples
===================
This series of examples briefly goes into the main
feature *ONNX Runtime* implements. Each of them run in a
feature *ONNX Runtime* implements. Each of them run in a
few seconds and relies on machine learned models
trained with `scikit-learn <http://scikit-learn.org/stable/>`_.
.. toctree::
:maxdepth: 1
:caption: Contents:
auto_examples/plot_load_and_predict
auto_examples/plot_common_errors
auto_examples/plot_train_convert_predict
auto_examples/plot_pipeline
auto_examples/plot_backend
auto_examples/plot_convert_pipeline_vectorizer
auto_examples/plot_metadata
auto_examples/plot_profiling