added test for ov examples

Author: NoushNabi

.github/workflows/test_openvino_examples.yml

@@ -0,0 +1,57 @@
+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: |
+        # Install PyTorch CPU to prevent unnecessary downloading/installing of CUDA packages
+        # ffmpeg, torchaudio and pillow are required for image classification and audio classification pipelines
+        pip install optimum[openvino] 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
+
+    - run: free -h
+    - run: lscpu
+    - run: pip freeze
+
+    - 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  --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
+        TASK_NAME=sst2  &&  python examples/openvino/text-classification/run_glue.py  --model_name_or_path sshleifer/tiny-distilbert-base-cased-distilled-squad  --task_name $TASK_NAME  --max_train_samples 10  --max_eval_samples 2  --output_dir /tmp/qat-bert-base-ft-$TASK_NAME  --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  --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/
+