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https://github.com/open-mmlab/mmselfsup.git
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parent
6db04339a6
commit
bc0807d3cf
52
.github/workflows/pr_stage_test.yml
vendored
52
.github/workflows/pr_stage_test.yml
vendored
@ -99,6 +99,58 @@ jobs:
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python setup.py check -m -s
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TORCH_CUDA_ARCH_LIST=7.0 pip install -e .
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build_cu116:
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runs-on: ubuntu-18.04
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container:
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image: pytorch/pytorch:1.13.0-cuda11.6-cudnn8-devel
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env:
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FORCE_CUDA: 1
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MMCV_CUDA_ARGS: -gencode=arch=compute_61,code=sm_61
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strategy:
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matrix:
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python-version: ['3.9']
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torch: [1.13.0+cu116]
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include:
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- torch: 1.13.0+cu116
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torchvision: 0.14.0+cu116
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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- name: Fetch GPG keys
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run: |
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
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- name: Add PPA
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run: |
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apt-get update && apt-get install -y software-properties-common
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add-apt-repository -y ppa:deadsnakes/ppa
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- name: Install python-dev
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run: apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y python${{matrix.python-version}}-dev
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- name: python -m Install PyTorch
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run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
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- name: Install system dependencies
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run: apt-get update && apt-get install -y ffmpeg libturbojpeg ninja-build
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- name: Install MMSelfSup dependencies
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run: |
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pip install -U openmim
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mim install mmengine
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mim install 'mmcv>=2.0.0rc1'
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mim install 'mmdet>=3.0.0rc0'
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mim install 'mmsegmentation>=1.0.0rc0'
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pip install -r requirements/tests.txt
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- name: Build and install
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run: |
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rm -rf .eggs
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pip install -e . -U
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- name: Run unittests and generate coverage report
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run: |
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coverage run --branch --source mmselfsup -m pytest tests/
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coverage xml
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coverage report -m
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build_windows:
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runs-on: ${{ matrix.os }}
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strategy:
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@ -16,7 +16,7 @@ def get_config_list(path, file_list):
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def test_configs():
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path = osp.join(osp.dirname(__file__), '..', 'configs', 'benchmarks')
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path = osp.join(osp.dirname(__file__), '..', 'configs')
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config_list = []
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get_config_list(path, config_list)
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@ -54,7 +54,7 @@ def test_simclr():
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fake_inputs, fake_data_samples = alg.data_preprocessor(fake_data)
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fake_loss = alg(fake_inputs, fake_data_samples, mode='loss')
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assert fake_loss['loss'].item() > 0
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assert isinstance(fake_loss['loss'].item(), float)
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# test extract
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fake_feat = alg(fake_inputs, fake_data_samples, mode='tensor')
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