Properly use test_fetcher for examples (#13604)
* Properly use test_fetcher for examples * Fake example modification * Fake modeling file modification * Clean fake modifications * Run example tests for any modification.
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@@ -564,17 +564,46 @@ jobs:
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key: v0.4-torch_examples-{{ checksum "setup.py" }}
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paths:
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- '~/.cache/pip'
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- run: python utils/tests_fetcher.py | tee test_preparation.txt
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- run: python utils/tests_fetcher.py --filters examples tests | tee test_preparation.txt
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- store_artifacts:
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path: ~/transformers/test_preparation.txt
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- run: |
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if [ -f test_list.txt ]; then
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TRANSFORMERS_IS_CI=1 python -m pytest -n 8 --dist=loadfile -s --make-reports=examples_torch ./examples/pytorch/ | tee examples_output.txt
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python -m pytest -n 8 --dist=loadfile -s --make-reports=examples_torch ./examples/pytorch/ | tee tests_output.txt
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fi
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- store_artifacts:
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path: ~/transformers/examples_output.txt
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- store_artifacts:
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path: ~/transformers/reports
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run_examples_torch_all:
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working_directory: ~/transformers
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docker:
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- image: circleci/python:3.6
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environment:
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OMP_NUM_THREADS: 1
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TRANSFORMERS_IS_CI: yes
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resource_class: xlarge
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parallelism: 1
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steps:
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- checkout
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- restore_cache:
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keys:
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- v0.4-torch_examples-{{ checksum "setup.py" }}
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- v0.4-{{ checksum "setup.py" }}
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- run: pip install --upgrade pip
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- run: pip install .[sklearn,torch,sentencepiece,testing]
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- run: pip install -r examples/pytorch/_tests_requirements.txt
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- save_cache:
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key: v0.4-torch_examples-{{ checksum "setup.py" }}
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paths:
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- '~/.cache/pip'
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- run: |
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TRANSFORMERS_IS_CI=1 python -m pytest -n 8 --dist=loadfile -s --make-reports=examples_torch ./examples/pytorch/ | tee examples_output.txt
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- store_artifacts:
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path: ~/transformers/examples_output.txt
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- store_artifacts:
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path: ~/transformers/reports
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run_tests_hub:
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working_directory: ~/transformers
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@@ -901,6 +930,7 @@ workflows:
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only:
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- master
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jobs:
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- run_examples_torch_all
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- run_tests_torch_and_tf_all
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- run_tests_torch_and_flax_all
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- run_tests_torch_all
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