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Deploy ML Deployment

chore: trigger ML training and deployment workflows #30

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chore: trigger ML training and deployment workflows

chore: trigger ML training and deployment workflows #30

Workflow file for this run

.github/workflows/analytic-ml-deployment.yml at 781c05d
name: Deploy ML Deployment
on:
push:
branches:
- amirbo_feature_branch
- main
- test
- amirb_feature_branch
paths:
- 'experimental/SMUS-CICD-pipeline-cli/examples/analytic-workflow/ml/deployment/**'
workflow_dispatch:
jobs:
deploy:

Check failure on line 15 in .github/workflows/analytic-ml-deployment.yml

View workflow run for this annotation

GitHub Actions / Deploy ML Deployment

Invalid workflow file 

The workflow is not valid. .github/workflows/analytic-ml-deployment.yml (Line: 15, Col: 3): Error calling workflow 'aws/Unified-Studio-for-Amazon-Sagemaker/.github/workflows/smus-bundle-deploy.yml@781c05dcf34394dddded02d218940e927b89d8dc'. The workflow is requesting 'id-token: write', but is only allowed 'id-token: none'.
uses: ./.github/workflows/smus-bundle-deploy.yml
with:
manifest_path: 'experimental/SMUS-CICD-pipeline-cli/examples/analytic-workflow/ml/deployment/manifest.yaml'
test_target: 'test'
prod_target: 'prod'
deploy_to_prod: ${{ github.ref == 'refs/heads/main' }}