add GPU-based runner on cirun.io

.cirun.yml

@@ -0,0 +1,14 @@
+# setup for using github runners via https://cirun.io/
+runners:
+  - name: "aws-runner"
+    # Cloud Provider: AWS
+    cloud: "aws"
+    # https://aws.amazon.com/ec2/instance-types/g4/
+    instance_type: "g4dn.xlarge"
+    # Ubuntu-20.4, ami image
+    machine_image: "ami-06fd8a495a537da8b"
+    preemptible: false
+    # Add this label in the "runs-on" param in .github/workflows/<workflow-name>.yml
+    # So that this runner is created for running the workflow
+    labels:
+      - "cirun-aws-runner"

.github/workflows/ci-pip-install-and-test-gpu.yml

@@ -0,0 +1,27 @@
+# cicd workflow for running tests with pytest
+# needs to first install pdm, then install torch cpu manually and then install the package
+# then run the tests
+
+name: test (pip install, gpu)
+
+on: [push, pull_request]
+
+jobs:
+  tests:
+    runs-on: "cirun-aws-runner--${{ github.run_id }}"
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v2
+
+      - name: Install torch (GPU CUDA 12.1)
+        run: |
+          python -m pip install torch  --index-url https://download.pytorch.org/whl/cu121
+
+      - name: Install package (including dev dependencies)
+        run: |
+          python -m pip install .
+          python -m pip install pytest
+
+      - name: Run tests
+        run: |
+          python -m pytest