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Add test for INC examples
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-16
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+53
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+47
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name: INC - Examples Test
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on:
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workflow_dispatch:
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schedule:
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- cron: 0 1 * * 1 # run weekly: every Monday at 1am
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push:
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paths:
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- '.github/workflows/test_inc_examples.yml'
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- 'examples/neural_compressor/*'
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pull_request:
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paths:
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- '.github/workflows/test_inc_examples.yml'
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- 'examples/neural_compressor/*'
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concurrency:
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group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
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cancel-in-progress: true
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jobs:
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build:
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strategy:
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fail-fast: false
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matrix:
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python-version: ["3.8", "3.10"]
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runs-on: ubuntu-20.04
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steps:
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- uses: actions/checkout@v2
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- name: Setup Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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run: |
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pip install optimum[neural-compressor,ipex] pytest
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pip install -r examples/neural_compressor/text-classification/requirements.txt
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pip install -r examples/neural_compressor/question-answering/requirements.txt
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pip install -r examples/neural_compressor/token-classification/requirements.txt
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pip install -r examples/neural_compressor/language-modeling/requirements.txt
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pip install -r examples/neural_compressor/multiple-choice/requirements.txt
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- name: Test examples
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run: |
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python -m pytest examples/neural_compressor/test_examples.py

examples/neural_compressor/test_examples.py

+6-16
Original file line numberDiff line numberDiff line change
@@ -59,7 +59,7 @@ def test_run_glue(self):
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with tempfile.TemporaryDirectory() as tmp_dir:
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test_args = f"""
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run_glue.py
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--model_name_or_path distilbert-base-uncased-finetuned-sst-2-english
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--model_name_or_path hf-internal-testing/tiny-random-DistilBertForSequenceClassification
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--task_name sst2
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--apply_quantization
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--apply_pruning
@@ -79,13 +79,12 @@ def test_run_glue(self):
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with patch.object(sys, "argv", test_args):
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run_glue.main()
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results = get_results(tmp_dir)
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self.assertGreaterEqual(results["eval_accuracy"], 0.70)
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def test_run_qa(self):
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with tempfile.TemporaryDirectory() as tmp_dir:
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test_args = f"""
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run_qa.py
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--model_name_or_path distilbert-base-uncased-distilled-squad
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--model_name_or_path hf-internal-testing/tiny-random-DistilBertForQuestionAnswering
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--dataset_name squad
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--apply_quantization
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--apply_pruning
@@ -105,14 +104,12 @@ def test_run_qa(self):
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with patch.object(sys, "argv", test_args):
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run_qa.main()
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results = get_results(tmp_dir)
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self.assertGreaterEqual(results["eval_f1"], 70)
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self.assertGreaterEqual(results["eval_exact_match"], 70)
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def test_run_ner(self):
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with tempfile.TemporaryDirectory() as tmp_dir:
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test_args = f"""
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run_ner.py
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--model_name_or_path elastic/distilbert-base-uncased-finetuned-conll03-english
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--model_name_or_path hf-internal-testing/tiny-random-RobertaForTokenClassification
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--dataset_name conll2003
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--apply_quantization
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--apply_pruning
@@ -132,16 +129,12 @@ def test_run_ner(self):
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with patch.object(sys, "argv", test_args):
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run_ner.main()
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results = get_results(tmp_dir)
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self.assertGreaterEqual(results["eval_accuracy"], 0.70)
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self.assertGreaterEqual(results["eval_f1"], 0.70)
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self.assertGreaterEqual(results["eval_precision"], 0.70)
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self.assertGreaterEqual(results["eval_recall"], 0.70)
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def test_run_swag(self):
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with tempfile.TemporaryDirectory() as tmp_dir:
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test_args = f"""
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run_swag.py
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--model_name_or_path ehdwns1516/bert-base-uncased_SWAG
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--model_name_or_path hf-internal-testing/tiny-random-AlbertForMultipleChoice
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--apply_quantization
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--apply_pruning
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--target_sparsity 0.02
@@ -160,15 +153,14 @@ def test_run_swag(self):
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with patch.object(sys, "argv", test_args):
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run_swag.main()
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results = get_results(tmp_dir)
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self.assertGreaterEqual(results["eval_accuracy"], 0.60)
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def test_run_clm(self):
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quantization_approach = "dynamic"
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with tempfile.TemporaryDirectory() as tmp_dir:
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test_args = f"""
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run_clm.py
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--model_name_or_path EleutherAI/gpt-neo-125M
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--model_name_or_path hf-internal-testing/tiny-random-GPT2LMHeadModel
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--dataset_name wikitext
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--dataset_config_name wikitext-2-raw-v1
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--apply_quantization
@@ -190,15 +182,14 @@ def test_run_clm(self):
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with patch.object(sys, "argv", test_args):
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run_clm.main()
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results = get_results(tmp_dir)
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self.assertLessEqual(results["eval_loss"], 15)
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def test_run_mlm(self):
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quantization_approach = "static"
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with tempfile.TemporaryDirectory() as tmp_dir:
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test_args = f"""
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run_mlm.py
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--model_name_or_path google/electra-small-discriminator
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--model_name_or_path hf-internal-testing/tiny-random-DistilBertForMaskedLM
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--dataset_name wikitext
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--dataset_config_name wikitext-2-raw-v1
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--apply_quantization
@@ -220,7 +211,6 @@ def test_run_mlm(self):
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with patch.object(sys, "argv", test_args):
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run_mlm.main()
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results = get_results(tmp_dir)
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self.assertLessEqual(results["eval_loss"], 15)
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if __name__ == "__main__":

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