Add a workflow dispatch for uploading release artifact (pytorch#5606)

Summary: Pull Request resolved: pytorch#5606

Reviewed By: huydhn

Differential Revision: D63346406

Pulled By: kirklandsign

fbshipit-source-id: 1682c0e7e4f5dea4419b18a158762a4630f2bdcb

.github/workflows/android-release-artifacts.yml

@@ -0,0 +1,66 @@
+name: Android Release Artifacts
+
+on:
+  workflow_dispatch:
+    inputs:
+      version:
+        description: Version name to be uploaded for AAR release
+        required: false
+        type: string
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  build-aar:
+    name: build-aar
+    uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
+    with:
+      runner: linux.2xlarge
+      docker-image: executorch-ubuntu-22.04-clang12-android
+      submodules: 'true'
+      ref: ${{ github.sha }}
+      timeout: 90
+      upload-artifact: android-apps
+      upload-artifact-to-s3: true
+      script: |
+        set -eux
+
+        # The generic Linux job chooses to use base env, not the one setup by the image
+        CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
+        conda activate "${CONDA_ENV}"
+        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh buck2
+        export ARTIFACTS_DIR_NAME=artifacts-to-be-uploaded
+
+        # Build LLM Demo for Android
+        bash build/build_android_llm_demo.sh ${ARTIFACTS_DIR_NAME}
+
+        shasum -a 256 "${ARTIFACTS_DIR_NAME}/llm_demo/executorch.aar"
+
+  upload-release-aar:
+    name: upload-release-aar
+    needs: build-aar
+    runs-on: ubuntu-22.04
+    timeout-minutes: 10
+    permissions:
+      id-token: write
+      contents: read
+    steps:
+      - name: configure aws credentials
+        uses: aws-actions/[email protected]
+        with:
+          role-to-assume: arn:aws:iam::308535385114:role/gha_executorch_upload-frameworks-android
+          aws-region: us-east-1
+      - name: Upload AAR RC to AWS S3
+        shell: bash
+        run: |
+          wget https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/llm_demo/executorch.aar
+          shasum -a 256 executorch.aar > executorch.aar.sha256sums
+
+          pip install awscli==1.32.18
+          AWS_CMD="aws s3 cp"
+          VERSION="${{ inputs.version }}"
+          VERSION_NAME="${VERSION:-temp_snapshot}"
+          ${AWS_CMD} executorch.aar s3://ossci-android/executorch/release/${VERSION_NAME}/executorch.aar --acl public-read
+          ${AWS_CMD} executorch.aar.sha256sums s3://ossci-android/executorch/release/${VERSION_NAME}/executorch.aar.sha256sums --acl public-read