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Use args when calling self.aev_computer (#118) #43

Use args when calling self.aev_computer (#118)

Use args when calling self.aev_computer (#118) #43

name: self-hosted-gpu-test
on:
push:
branches:
- master
workflow_dispatch:
defaults:
run:
shell: bash -l {0}
jobs:
start-runner:
name: Start self-hosted EC2 runner
runs-on: ubuntu-latest
outputs:
label: ${{ steps.start-ec2-runner.outputs.label }}
ec2-instance-id: ${{ steps.start-ec2-runner.outputs.ec2-instance-id }}
steps:
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v1
with:
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws-region: ${{ secrets.AWS_REGION }}
- name: Try to start EC2 runner
id: start-ec2-runner
uses: machulav/ec2-github-runner@main
with:
mode: start
github-token: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }}
ec2-image-id: ami-04d16a12bbc76ff0b
ec2-instance-type: g4dn.xlarge
subnet-id: subnet-0dee8543e12afe0cd # us-east-1a
security-group-id: sg-0f9809618550edb98
# iam-role-name: self-hosted-runner # optional, requires additional permissions
aws-resource-tags: > # optional, requires additional permissions
[
{"Key": "Name", "Value": "ec2-github-runner"},
{"Key": "GitHubRepository", "Value": "${{ github.repository }}"}
]
do-the-job:
name: Do the job on the runner
needs: start-runner # required to start the main job when the runner is ready
runs-on: ${{ needs.start-runner.outputs.label }} # run the job on the newly created runner
timeout-minutes: 25
steps:
- name: Check out
uses: actions/checkout@v3
- name: Install Miniconda
uses: conda-incubator/setup-miniconda@v2
env:
HOME: /home/ec2-user
with:
activate-environment: ""
auto-activate-base: true
miniforge-variant: Mambaforge
- name: Prepare dependencies (with CUDA)
env:
cudatoolkit: "11.7.*"
gxx_linux-64: "10.3.*"
torchani: "2.2.*"
nvcc_linux-64: "11.7.*"
python: "3.10.*"
pytorch-gpu: "2.0.*"
run: |
sed -i -e "/cudatoolkit/c\ - cudatoolkit ${{ env.cudatoolkit }}" \
-e "/gxx_linux-64/c\ - gxx_linux-64 ${{ env.gxx_linux-64 }}" \
-e "/torchani/c\ - torchani ${{ env.torchani }}" \
-e "/nvcc_linux-64/c\ - nvcc_linux-64 ${{ env.nvcc_linux-64 }}" \
-e "/python/c\ - python ${{ env.python }}" \
-e "/pytorch-gpu/c\ - pytorch-gpu ${{ env.pytorch-gpu }}" \
environment.yml
- name: Show dependency file
run: cat environment.yml
- name: Install dependencies
run: |
mamba env create -n nnpops -f environment.yml
conda init
- name: List conda environment
run: |
conda activate nnpops
conda list
- name: Configure, compile, and install
run: |
conda activate nnpops
mkdir build && cd build
cmake .. \
-DENABLE_CUDA=true \
-DTorch_DIR=$(python -c 'import torch.utils; print(torch.utils.cmake_prefix_path)')/Torch \
-DCMAKE_INSTALL_PREFIX=$CONDA_PREFIX
make install
- name: Test
run: |
conda activate nnpops
cd build
export CUBLAS_WORKSPACE_CONFIG=:4096:8
ctest --verbose
stop-runner:
name: Stop self-hosted EC2 runner
needs:
- start-runner # required to get output from the start-runner job
- do-the-job # required to wait when the main job is done
runs-on: ubuntu-latest
if: ${{ always() }} # required to stop the runner even if the error happened in the previous jobs
steps:
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v1
with:
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws-region: ${{ secrets.AWS_REGION }}
- name: Stop EC2 runner
uses: machulav/ec2-github-runner@main
with:
mode: stop
github-token: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }}
label: ${{ needs.start-runner.outputs.label }}
ec2-instance-id: ${{ needs.start-runner.outputs.ec2-instance-id }}