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add tensor-meta-pool-size=200 #61

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add tensor-meta-pool-size=200

add tensor-meta-pool-size=200 #61

Workflow file for this run

.github/workflows/build.yml at bc3300e
name: build
on:
push:
paths-ignore:
- ".dev_scripts/**"
- ".github/**.md"
- "demo/**"
- "docker/**"
- "tools/**"
- "README.md"
- "README_zh-CN.md"
pull_request:
paths-ignore:
- ".dev_scripts/**"
- ".github/**.md"
- "demo/**"
- "docker/**"
- "docs/**"
- "docs_zh-CN/**"
- "tools/**"
- "README.md"
- "README_zh-CN.md"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
build_cpu:
runs-on: ubuntu-18.04
strategy:
matrix:
python-version: [3.7]
torch: [1.5.1, 1.6.0, 1.7.0, 1.8.0, 1.9.0, 1.10.1]
include:
- torch: 1.5.1
torchvision: 0.6.1
mmcv: 1.5
- torch: 1.6.0
torchvision: 0.7.0
mmcv: 1.6
- torch: 1.7.0
torchvision: 0.8.1
mmcv: 1.7
- torch: 1.8.0
torchvision: 0.9.0
mmcv: 1.8
- torch: 1.9.0
torchvision: 0.10.0
mmcv: 1.9
- torch: 1.10.1
torchvision: 0.11.2
mmcv: "1.10"
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
- name: Install MMCV
run: |
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch${{matrix.mmcv}}/index.html
python -c 'import mmcv; print(mmcv.__version__)'
- name: Install unittest dependencies
run: |
pip install -r requirements/tests.txt -r requirements/optional.txt
pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
pip install git+https://github.com/cocodataset/panopticapi.git
- name: Build and install
run: rm -rf .eggs && pip install -e .
- name: Run unittests and generate coverage report
run: |
coverage run --branch --source mmdet -m pytest tests/
coverage xml
coverage report -m
build_cuda101:
runs-on: ubuntu-18.04
container:
image: pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel
strategy:
matrix:
python-version: [3.7]
torch: [1.5.1+cu101, 1.6.0+cu101, 1.7.0+cu101, 1.8.0+cu101]
include:
- torch: 1.5.1+cu101
torch_version: torch1.5.1
torchvision: 0.6.1+cu101
mmcv: 1.5
- torch: 1.6.0+cu101
torch_version: torch1.6.0
torchvision: 0.7.0+cu101
mmcv: 1.6
- torch: 1.7.0+cu101
torch_version: torch1.7.0
torchvision: 0.8.1+cu101
mmcv: 1.7
- torch: 1.8.0+cu101
torch_version: torch1.8.0
torchvision: 0.9.0+cu101
mmcv: 1.8
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Fetch GPG keys
run: |
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
- name: Install system dependencies
run: |
apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 python${{matrix.python-version}}-dev
apt-get clean
rm -rf /var/lib/apt/lists/*
- name: Install PyTorch
run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
- name: Install dependencies for compiling onnx when python=3.9
run: python -m pip install "protobuf <= 3.20.1" && apt-get install libprotobuf-dev protobuf-compiler
if: ${{matrix.python-version == '3.9'}}
- name: Install mmdet dependencies
run: |
python -V
python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch${{matrix.mmcv}}/index.html
python -m pip install pycocotools
python -m pip install -r requirements/tests.txt -r requirements/optional.txt
python -m pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
python -m pip install git+https://github.com/cocodataset/panopticapi.git
python -c 'import mmcv; print(mmcv.__version__)'
- name: Build and install
run: |
rm -rf .eggs
python setup.py check -m -s
TORCH_CUDA_ARCH_LIST=7.0 pip install .
- name: Run unittests and generate coverage report
run: |
coverage run --branch --source mmdet -m pytest tests/
coverage xml
coverage report -m
- name: Upload coverage to Codecov
uses: codecov/[email protected]
with:
file: ./coverage.xml
flags: unittests
env_vars: OS,PYTHON
name: codecov-umbrella
fail_ci_if_error: false
build_cuda102:
runs-on: ubuntu-18.04
container:
image: pytorch/pytorch:1.9.0-cuda10.2-cudnn7-devel
strategy:
matrix:
python-version: [3.6, 3.7, 3.8, 3.9]
torch: [1.9.0+cu102, 1.10.1+cu102]
include:
- torch: 1.9.0+cu102
torch_version: torch1.9.0
torchvision: 0.10.0+cu102
mmcv: 1.9
- torch: 1.10.1+cu102
torch_version: torch1.10.1
torchvision: 0.11.2+cu102
mmcv: "1.10"
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Fetch GPG keys
run: |
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
# Add ppa source repo for python3.9.
- name: Add python3.9 source
run: |
apt-get update && apt-get install -y software-properties-common
add-apt-repository -y ppa:deadsnakes/ppa
if: ${{matrix.python-version == '3.9'}}
# Install python-dev for some packages which require libpython3.Xm.
# Github's setup-python cannot install python3.9-dev, so we have to use apt install.
# Set DEBIAN_FRONTEND=noninteractive to avoid some interactions.
- name: Install python-dev
run: apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends python${{matrix.python-version}}-dev
- name: Install system dependencies
run: |
apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
apt-get clean
rm -rf /var/lib/apt/lists/*
- name: Install PyTorch
run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
- name: Install dependencies for compiling onnx when python=3.9
run: python -m pip install "protobuf <= 3.20.1" && apt-get update && apt-get -y install libprotobuf-dev protobuf-compiler cmake
if: ${{matrix.python-version == '3.9'}}
- name: Install mmdet dependencies
run: |
python -V
python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch${{matrix.mmcv}}/index.html
python -m pip install pycocotools
python -m pip install -r requirements/tests.txt -r requirements/optional.txt
python -m pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
python -m pip install git+https://github.com/cocodataset/panopticapi.git
python -c 'import mmcv; print(mmcv.__version__)'
- name: Build and install
run: |
rm -rf .eggs
python setup.py check -m -s
TORCH_CUDA_ARCH_LIST=7.0 pip install .
- name: Run unittests and generate coverage report
run: |
coverage run --branch --source mmdet -m pytest tests/
coverage xml
coverage report -m
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v2
with:
files: ./coverage.xml
flags: unittests
env_vars: OS,PYTHON
name: codecov-umbrella
fail_ci_if_error: false
build_windows:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [windows-2022]
python: [3.8]
platform: [cpu, cu111]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python }}
- name: Upgrade pip
run: python -m pip install pip --upgrade --user
- name: Install PyTorch
# As a complement to Linux CI, we test on PyTorch LTS version
run: pip install torch==1.8.2+${{ matrix.platform }} torchvision==0.9.2+${{ matrix.platform }} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
- name: Install MMCV
run: pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch1.8/index.html --only-binary mmcv-full
- name: Install unittest dependencies
run: |
python -V
python -m pip install pycocotools
python -m pip install -r requirements/tests.txt -r requirements/optional.txt
python -m pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
python -m pip install git+https://github.com/cocodataset/panopticapi.git
python -c 'import mmcv; print(mmcv.__version__)'
- name: Show pip list
run: pip list
- name: Build and install
run: pip install -e .
- name: Run unittests
run: coverage run --branch --source mmdet -m pytest tests
- name: Generate coverage report
run: |
coverage xml
coverage report -m
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v2
with:
file: ./coverage.xml
flags: unittests
env_vars: OS,PYTHON
name: codecov-umbrella
fail_ci_if_error: false