Can the quantized yolov5 model with Brevitas be deployed on the DPU (Deep Learning Processing Unit)? #861
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| # Credits: https://github.com/marketplace/actions/automatic-rebase | |
| on: | |
| issue_comment: | |
| types: [created] | |
| name: Automatic Rebase | |
| jobs: | |
| rebase: | |
| name: Rebase | |
| if: github.event.issue.pull_request != '' && contains(github.event.comment.body, '/rebase') | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@master | |
| with: | |
| fetch-depth: 0 | |
| - name: Automatic Rebase | |
| uses: cirrus-actions/rebase@1.2 | |
| env: | |
| GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
| # https://github.community/t5/GitHub-Actions/Workflow-is-failing-if-no-job-can-be-ran-due-to-condition/m-p/38186#M3250 | |
| always_job: | |
| name: Always run job | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Always run | |
| run: echo "This job is used to prevent the workflow to fail when all other jobs are skipped." |