[GENERAL] Added continuous integration
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committed by
Philippe Tillet
parent
80e8a2f1f2
commit
5522a8bdb4
47
.ci/azure-pipelines.yml
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47
.ci/azure-pipelines.yml
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# Python package
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# Create and test a Python package on multiple Python versions.
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# Add steps that analyze code, save the dist with the build record, publish to a PyPI-compatible index, and more:
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# https://docs.microsoft.com/azure/devops/pipelines/languages/python
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trigger:
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- master
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pool:
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name: default
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variables:
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- name: venv
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value: venv
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strategy:
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matrix:
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Python37:
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python.version: '3.7'
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maxParallel: 1
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steps:
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- task: UsePythonVersion@0
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inputs:
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versionSpec: '$(python.version)'
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architecture: 'x64'
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displayName: 'Use Python $(python.version)'
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- script: |
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mkdir $(venv)
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python -m virtualenv $(venv)
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source $(venv)/bin/activate
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displayName: setup virtual environment
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- script: |
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python -m pip install --upgrade pip
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pip install torch
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displayName: 'Install dependencies'
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- script: |
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cd python
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python setup.py install
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displayName: 'Install Triton'
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- script: |
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pytest .
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displayName: 'Python Unit Tests'
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@@ -2,6 +2,8 @@
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This is the development repository of Triton, a language and compiler for writing highly efficient custom Deep-Learning primitives. The aim of Triton is to provide an open-source environment to write fast code at higher productivity than CUDA, but also with higher flexibility than other existing DSLs.
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This is the development repository of Triton, a language and compiler for writing highly efficient custom Deep-Learning primitives. The aim of Triton is to provide an open-source environment to write fast code at higher productivity than CUDA, but also with higher flexibility than other existing DSLs.
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[](https://dev.azure.com/phil0342/Triton/_build/latest?definitionId=6&branchName=refs%2Fpull%2F58%2Fmerge)
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The foundations of this project are described in the following MAPL2019 publication: [Triton: An Intermediate Language and Compiler for Tiled Neural Network Computations](http://www.eecs.harvard.edu/~htk/publication/2019-mapl-tillet-kung-cox.pdf). Please consider citing us if you use our work!
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The foundations of this project are described in the following MAPL2019 publication: [Triton: An Intermediate Language and Compiler for Tiled Neural Network Computations](http://www.eecs.harvard.edu/~htk/publication/2019-mapl-tillet-kung-cox.pdf). Please consider citing us if you use our work!
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