Added GCP secrets

Author: m-messer

.github/workflows/deploy.yml

@@ -104,4 +104,5 @@ jobs:
       aws-key-id: ${{ secrets.LAMBDA_CONTAINER_PIPELINE_AWS_ID }}
       aws-secret-key: ${{ secrets.LAMBDA_CONTAINER_PIPELINE_AWS_SECRET}}
       function-admin-api-key: ${{ secrets.FUNCTION_ADMIN_API_KEY}}
+      gcp_credentials: ${{ secrets.GCP_DEPLOY }}
 

evaluation_function/models/basic_nn.py

@@ -72,10 +72,8 @@ def train_model(device):
     return model
 
 def run(response, answer, params: Params) -> Result:
-    # print("GPU") if torch.backends.mps.is_available() else print("CPU")
-    # device = torch.device("mps" if torch.backends.mps.is_available() else "cpu")
-
-    device = "cpu"
+    print("GPU") if torch.backends.mps.is_available() else print("CPU")
+    device = torch.device("mps" if torch.backends.mps.is_available() else "cpu")
 
     refresh = params.get("refresh", False)
     if refresh: