chore(deps): update actions/checkout action to v4 #59
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| name: Build tensorflow-to-larod-artpec8 application | |
| on: | |
| workflow_dispatch: | |
| push: | |
| paths: | |
| - 'tensorflow-to-larod-artpec8/**' | |
| - '!tensorflow-to-larod-artpec8/README.md' | |
| - '.github/workflows/tensorflow-to-larod-artpec8.yml' | |
| jobs: | |
| build: | |
| runs-on: ubuntu-latest | |
| strategy: | |
| matrix: | |
| include: | |
| - arch: aarch64 | |
| chip: artpec8 | |
| axis-os: 11.5.64 | |
| env: | |
| EXREPO: acap-native-examples | |
| EXNAME: tensorflow-to-larod-artpec8 | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - uses: docker/setup-buildx-action@v2 | |
| - name: Build ${{ env.example }} application | |
| env: | |
| example: ${{ env.EXNAME }} | |
| imagetag: ${{ env.EXREPO }}_${{ env.EXNAME }}:1.0 | |
| run: | | |
| docker image rm -f $imagetag | |
| cd $EXNAME | |
| docker build --no-cache --tag $imagetag . --build-arg TRAIN_EPOCHS=1 --build-arg TUNE_EPOCHS=1 | |
| - name: Check if model file exists and its size | |
| env: | |
| imagetag: ${{ env.EXREPO }}_${{ env.EXNAME }}:1.0 | |
| buildpath: /env/training/models | |
| modeldir: model | |
| modelname: converted_model.tflite | |
| run: | | |
| found_error=no | |
| [ -d $modeldir ] && rm -rf $modeldir | |
| mkdir -p ./$modeldir | |
| docker cp $(docker create $imagetag):$buildpath/$modelname ./$modeldir | |
| if [ -f $modeldir/$modelname ]; then | |
| echo "Model file exists" | |
| # Check the file size | |
| filesize=$(stat --printf="%s" $modeldir/$modelname) | |
| minsize=$((1*1024*1024)) # 1MB | |
| maxsize=$((10*1024*1024*1024)) # 10GB | |
| if [ $filesize -ge $minsize ] && [ $filesize -le $maxsize ]; then | |
| echo "Model file size ($filesize bytes) is within the expected range" | |
| else | |
| echo "Model file size ($filesize bytes) is out of the expected range" | |
| found_error=yes | |
| fi | |
| else | |
| echo "Model file does not exist, build directory contains" | |
| ls -la $modeldir | |
| found_error=yes | |
| fi | |
| # Cleanup | |
| [ -d $modeldir ] && rm -rf $modeldir | |
| docker image rm -f $imagetag | |
| [ "$found_error" = no ] || { | |
| echo "Error found during tests" | |
| exit 1 | |
| } |