Test for OpenVINO Examples #6
Workflow file for this run
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| name: OpenVINO - Examples Test | |
| on: | |
| workflow_dispatch: | |
| schedule: | |
| - cron: '14 3 * * 1' # run weekly: every Monday at 3:14 | |
| push: | |
| paths: | |
| - '.github/workflows/test_openvino_examples.yml' | |
| - 'examples/openvino/*' | |
| pull_request: | |
| paths: | |
| - '.github/workflows/test_openvino_examples.yml' | |
| - 'examples/openvino/*' | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }} | |
| cancel-in-progress: true | |
| jobs: | |
| build: | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| python-version: ["3.8", "3.10"] | |
| runs-on: ubuntu-20.04 | |
| steps: | |
| - uses: actions/checkout@v2 | |
| - name: Setup Python ${{ matrix.python-version }} | |
| uses: actions/setup-python@v2 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| - name: Install dependencies | |
| run: | | |
| pip install optimum[openvino] jstyleson nncf | |
| pip install -r examples/openvino/audio-classification/requirements.txt | |
| pip install -r examples/openvino/image-classification/requirements.txt | |
| pip install -r examples/openvino/question-answering/requirements.txt | |
| pip install -r examples/openvino/text-classification/requirements.txt | |
| - name: Test examples | |
| run: | | |
| python examples/openvino/audio-classification/run_audio_classification.py --model_name_or_path facebook/wav2vec2-base --nncf_compression_config examples/openvino/audio-classification/configs/wav2vec2-base-qat.json --dataset_name superb --dataset_config_name ks --max_train_samples 10 --max_eval_samples 2 --output_dir /tmp/qat-wav2vec2-base-ft-keyword-spotting --overwrite_output_dir --remove_unused_columns False --do_train --do_eval --learning_rate 3e-5 --max_length_seconds 1 --attention_mask False --warmup_ratio 0.1 --num_train_epochs 1 --gradient_accumulation_steps 1 --dataloader_num_workers 1 --logging_strategy steps --logging_steps 1 --evaluation_strategy epoch --save_strategy epoch --load_best_model_at_end False --seed 42 | |
| python examples/openvino/text-classification/run_glue.py --model_name_or_path sshleifer/tiny-distilbert-base-cased-distilled-squad --task_name sst2 --max_train_samples 10 --max_eval_samples 2 --output_dir /tmp/qat-bert-base-ft-sst2 --overwrite_output_dir --do_train --do_eval --max_seq_length 128 --learning_rate 1e-5 --optim adamw_torch --num_train_epochs 1 --logging_steps 1 --evaluation_strategy steps --eval_steps 1 --save_strategy epoch --seed 42 | |
| python examples/openvino/question-answering/run_qa.py --model_name_or_path sshleifer/tiny-distilbert-base-cased-distilled-squad --dataset_name squad --do_train --do_eval --max_train_samples 10 --max_eval_samples 2 --learning_rate 3e-5 --num_train_epochs 1 --max_seq_length 384 --doc_stride 128 --output_dir /tmp/outputs_squad/ --overwrite_output_dir | |
| python examples/openvino/image-classification/run_image_classification.py --model_name_or_path nateraw/vit-base-beans --dataset_name beans --max_train_samples 10 --max_eval_samples 2 --remove_unused_columns False --do_train --do_eval --learning_rate 2e-5 --num_train_epochs 1 --logging_strategy steps --logging_steps 1 --evaluation_strategy epoch --save_strategy epoch --save_total_limit 1 --seed 1337 --output_dir /tmp/beans_outputs/ | |