CI setup that runs tests e2e testing using GPU machines #63
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.circleci/config.yml
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| export PATH=$HOME/miniconda/bin:$PATH | ||
| conda create -y -n habitat python=3.6 | ||
| . activate habitat | ||
| conda install -y numpy pyyaml scipy ipython mkl mkl-include pytest |
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Let's add a conda install -y -c conda-forge ninja -- This should help with build speed
erikwijmans
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.circleci/config.yml
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| python examples/example.py --scene data/scene_datasets/habitat-test-scenes/van-gogh-room.glb | ||
| export PYTHONPATH=$PYTHONPATH:$(pwd) | ||
| ./build.sh --headless | ||
| pip install -e . |
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Possibly bad things will happen as the pip install isn't headless.
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| pip install -e . | |
| HEADLESS=True pip install -e . |
msavva
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.circleci/config.yml
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| sudo apt-get --yes --force-yes install cuda | ||
| nvidia-smi | ||
| - run: | ||
| name: Install habtiat-sim |
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CI tests passed, merging. |
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…ookresearch#63) CI setup that runs tests using GPU machines: Builds and installs habitat-sim with python setup.py install and ./build.sh --headless Runs pytest tests on habitat-sim with testing data Added speed regression test with FPS threshold (900 FPS) , thanks @erikwijmans for advice how to do it in elegant way. Added run of habitat-api tests on master branch. That will guarantee that HSIM changes won't break HAPI Added pytorch installation and running habitat baseline test in prediction mode. That maybe too much of testing, but decided to keep it for now.
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Motivation and Context
CI setup that runs tests using GPU machines:
python setup.py installand./build.sh --headlesspytesttests on habitat-sim with testing dataHave ideas how to speed up and parallelize jobs. Will follow up in next PRs.
How Has This Been Tested
Tests time estimations:
Types of changes
Checklist