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Updated CircleCI #1470

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Updated CircleCI #1470

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c0ff471
updated circleci images
johnnynunez Mar 6, 2023
dea7cc3
updated circleci images
johnnynunez Mar 6, 2023
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26 changes: 7 additions & 19 deletions .circleci/config.in.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -17,13 +17,7 @@ setupcuda: &setupcuda
name: Setup CUDA
working_directory: ~/
command: |
# download and install nvidia drivers, cuda, etc
wget --no-verbose --no-clobber -P ~/nvidia-downloads https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.19.01_linux.run
sudo sh ~/nvidia-downloads/cuda_11.3.1_465.19.01_linux.run --silent
echo "Done installing CUDA."
pyenv versions
nvidia-smi
pyenv global 3.9.1
sudo update-alternatives --set cuda /usr/local/cuda-11.6

binary_common: &binary_common
parameters:
Expand Down Expand Up @@ -61,15 +55,15 @@ binary_common: &binary_common
jobs:
main:
environment:
CUDA_VERSION: "11.3"
CUDA_VERSION: "11.6"
resource_class: gpu.nvidia.small.multi
machine:
image: ubuntu-2004:202101-01
image: ubuntu-2204:2023.02.1
steps:
- checkout
- <<: *setupcuda
- run: pip3 install --progress-bar off imageio wheel matplotlib 'pillow<7'
- run: pip3 install --progress-bar off torch==1.10.0+cu113 torchvision==0.11.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
- run: pip3 install --progress-bar off torch==1.13.1+cu116 torchvision==0.14.1+cu116 -f https://download.pytorch.org/whl/cu116/torch_stable.html
# - run: conda create -p ~/conda_env python=3.7 numpy
# - run: conda activate ~/conda_env
# - run: conda install -c pytorch pytorch torchvision
Expand All @@ -79,9 +73,9 @@ jobs:
- run:
name: build
command: |
export LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64
export LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.6/lib64
python3 setup.py build_ext --inplace
- run: LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64 python -m unittest discover -v -s tests -t .
- run: LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.6/lib64 python -m unittest discover -v -s tests -t .
- run: python3 setup.py bdist_wheel

binary_linux_wheel:
Expand Down Expand Up @@ -128,7 +122,7 @@ jobs:
binary_linux_conda_cuda:
<<: *binary_common
machine:
image: ubuntu-1604-cuda-10.2:202012-01
image: linux-cuda-11:2023.02.1
resource_class: gpu.nvidia.small.multi
steps:
- checkout
Expand Down Expand Up @@ -181,12 +175,6 @@ workflows:
# - main:
# context: DOCKERHUB_TOKEN
{{workflows()}}
- binary_linux_conda_cuda:
name: testrun_conda_cuda_py38_cu102_pyt190
context: DOCKERHUB_TOKEN
python_version: "3.8"
pytorch_version: '1.9.0'
cu_version: "cu102"
- binary_macos_wheel:
cu_version: cpu
name: macos_wheel_py3.8_cpu
Expand Down
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