959 lines
38 KiB
YAML
959 lines
38 KiB
YAML
version: 2.1
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orbs:
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gcp-gke: circleci/gcp-gke@1.0.4
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go: circleci/go@1.3.0
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# TPU REFERENCES
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references:
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checkout_ml_testing: &checkout_ml_testing
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run:
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name: Checkout ml-testing-accelerators
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command: |
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git clone https://github.com/GoogleCloudPlatform/ml-testing-accelerators.git
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cd ml-testing-accelerators
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git fetch origin 5e88ac24f631c27045e62f0e8d5dfcf34e425e25:stable
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git checkout stable
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build_push_docker: &build_push_docker
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run:
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name: Configure Docker
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command: |
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gcloud --quiet auth configure-docker
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cd docker/transformers-pytorch-tpu
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if [ -z "$CIRCLE_PR_NUMBER" ]; then docker build --tag "$GCR_IMAGE_PATH:$CIRCLE_WORKFLOW_JOB_ID" -f Dockerfile --build-arg "TEST_IMAGE=1" . ; else docker build --tag "$GCR_IMAGE_PATH:$CIRCLE_WORKFLOW_JOB_ID" -f Dockerfile --build-arg "TEST_IMAGE=1" --build-arg "GITHUB_REF=pull/$CIRCLE_PR_NUMBER/head" . ; fi
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docker push "$GCR_IMAGE_PATH:$CIRCLE_WORKFLOW_JOB_ID"
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deploy_cluster: &deploy_cluster
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run:
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name: Deploy the job on the kubernetes cluster
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command: |
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go get github.com/google/go-jsonnet/cmd/jsonnet && \
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export PATH=$PATH:$HOME/go/bin && \
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kubectl create -f docker/transformers-pytorch-tpu/dataset.yaml || true && \
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job_name=$(jsonnet -J ml-testing-accelerators/ docker/transformers-pytorch-tpu/bert-base-cased.jsonnet --ext-str image=$GCR_IMAGE_PATH --ext-str image-tag=$CIRCLE_WORKFLOW_JOB_ID | kubectl create -f -) && \
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job_name=${job_name#job.batch/} && \
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job_name=${job_name% created} && \
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echo "Waiting on kubernetes job: $job_name" && \
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i=0 && \
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# 30 checks spaced 30s apart = 900s total.
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max_checks=30 && \
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status_code=2 && \
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# Check on the job periodically. Set the status code depending on what
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# happened to the job in Kubernetes. If we try max_checks times and
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# still the job hasn't finished, give up and return the starting
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# non-zero status code.
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while [ $i -lt $max_checks ]; do ((i++)); if kubectl get jobs $job_name -o jsonpath='Failed:{.status.failed}' | grep "Failed:1"; then status_code=1 && break; elif kubectl get jobs $job_name -o jsonpath='Succeeded:{.status.succeeded}' | grep "Succeeded:1" ; then status_code=0 && break; else echo "Job not finished yet"; fi; sleep 30; done && \
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echo "Done waiting. Job status code: $status_code" && \
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pod_name=$(kubectl get po -l controller-uid=`kubectl get job $job_name -o "jsonpath={.metadata.labels.controller-uid}"` | awk 'match($0,!/NAME/) {print $1}') && \
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echo "GKE pod name: $pod_name" && \
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kubectl logs -f $pod_name --container=train
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echo "Done with log retrieval attempt." && \
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gcloud container images delete "$GCR_IMAGE_PATH:$CIRCLE_WORKFLOW_JOB_ID" --force-delete-tags && \
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exit $status_code
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delete_gke_jobs: &delete_gke_jobs
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run:
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name: Delete GKE Jobs
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command: |
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# Match jobs whose age matches patterns like '1h' or '1d', i.e. any job
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# that has been around longer than 1hr. First print all columns for
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# matches, then execute the delete.
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kubectl get job | awk 'match($4,/[0-9]+[dh]/) {print $0}'
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kubectl delete job $(kubectl get job | awk 'match($4,/[0-9]+[dh]/) {print $1}')
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jobs:
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run_tests_torch_and_tf:
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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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RUN_PT_TF_CROSS_TESTS: yes
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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_and_tf-{{ checksum "setup.py" }}
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- v0.4-{{ checksum "setup.py" }}
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- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
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- run: pip install --upgrade pip
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- run: pip install .[sklearn,tf-cpu,torch,testing,sentencepiece,torch-speech,vision]
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- run: pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.10.0+cpu.html
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- save_cache:
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key: v0.4-{{ 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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- 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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python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_torch_and_tf $(cat test_list.txt) -m is_pt_tf_cross_test --durations=0 | tee tests_output.txt
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fi
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- store_artifacts:
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path: ~/transformers/tests_output.txt
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- store_artifacts:
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path: ~/transformers/reports
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run_tests_torch_and_tf_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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RUN_PT_TF_CROSS_TESTS: yes
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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_and_tf-{{ checksum "setup.py" }}
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- v0.4-{{ checksum "setup.py" }}
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- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
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- run: pip install --upgrade pip
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- run: pip install .[sklearn,tf-cpu,torch,testing,sentencepiece,torch-speech,vision]
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- run: pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.10.0+cpu.html
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- save_cache:
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key: v0.4-{{ checksum "setup.py" }}
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paths:
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- '~/.cache/pip'
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- run: |
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python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_torch_and_tf tests -m is_pt_tf_cross_test --durations=0 | tee tests_output.txt
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- store_artifacts:
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path: ~/transformers/tests_output.txt
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- store_artifacts:
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path: ~/transformers/reports
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run_tests_torch_and_flax:
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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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RUN_PT_FLAX_CROSS_TESTS: yes
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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_and_flax-{{ checksum "setup.py" }}
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- v0.4-{{ checksum "setup.py" }}
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- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
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- run: pip install --upgrade pip
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- run: pip install .[sklearn,flax,torch,testing,sentencepiece,torch-speech,vision]
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- run: pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.10.0+cpu.html
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- save_cache:
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key: v0.4-{{ 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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- 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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python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_torch_and_flax $(cat test_list.txt) -m is_pt_flax_cross_test --durations=0 | tee tests_output.txt
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fi
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- store_artifacts:
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path: ~/transformers/tests_output.txt
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- store_artifacts:
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path: ~/transformers/reports
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run_tests_torch_and_flax_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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RUN_PT_FLAX_CROSS_TESTS: yes
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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_and_flax-{{ checksum "setup.py" }}
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- v0.4-{{ checksum "setup.py" }}
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- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
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- run: pip install --upgrade pip
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- run: pip install .[sklearn,flax,torch,testing,sentencepiece,torch-speech,vision]
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- run: pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.10.0+cpu.html
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- save_cache:
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key: v0.4-{{ checksum "setup.py" }}
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paths:
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- '~/.cache/pip'
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- run: |
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python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_torch_and_flax tests -m is_pt_flax_cross_test --durations=0 | tee tests_output.txt
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- store_artifacts:
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path: ~/transformers/tests_output.txt
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- store_artifacts:
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path: ~/transformers/reports
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run_tests_torch:
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working_directory: ~/transformers
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docker:
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- image: circleci/python:3.7
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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-{{ checksum "setup.py" }}
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- v0.4-{{ checksum "setup.py" }}
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- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
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- run: pip install --upgrade pip
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- run: pip install .[sklearn,torch,testing,sentencepiece,torch-speech,vision,timm]
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- run: pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.10.0+cpu.html
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- save_cache:
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key: v0.4-torch-{{ 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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- 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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python -m pytest -n 3 --dist=loadfile -s --make-reports=tests_torch $(cat test_list.txt) | tee tests_output.txt
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fi
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- store_artifacts:
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path: ~/transformers/tests_output.txt
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- store_artifacts:
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path: ~/transformers/reports
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run_tests_torch_all:
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working_directory: ~/transformers
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docker:
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- image: circleci/python:3.7
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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-{{ checksum "setup.py" }}
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- v0.4-{{ checksum "setup.py" }}
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- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
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- run: pip install --upgrade pip
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- run: pip install .[sklearn,torch,testing,sentencepiece,torch-speech,vision,timm]
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- run: pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.10.0+cpu.html
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- save_cache:
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key: v0.4-torch-{{ checksum "setup.py" }}
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paths:
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- '~/.cache/pip'
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- run: |
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python -m pytest -n 3 --dist=loadfile -s --make-reports=tests_torch tests | tee tests_output.txt
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- store_artifacts:
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path: ~/transformers/tests_output.txt
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- store_artifacts:
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path: ~/transformers/reports
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run_tests_tf:
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working_directory: ~/transformers
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docker:
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- image: circleci/python:3.7
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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-tf-{{ 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,tf-cpu,testing,sentencepiece,tf-speech]
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- save_cache:
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key: v0.4-tf-{{ 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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- 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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python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_tf $(cat test_list.txt) | tee tests_output.txt
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fi
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- store_artifacts:
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path: ~/transformers/tests_output.txt
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- store_artifacts:
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path: ~/transformers/reports
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run_tests_tf_all:
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working_directory: ~/transformers
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docker:
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- image: circleci/python:3.7
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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-tf-{{ 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,tf-cpu,testing,sentencepiece,tf-speech]
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- save_cache:
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key: v0.4-tf-{{ checksum "setup.py" }}
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paths:
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- '~/.cache/pip'
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- run: |
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python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_tf tests | tee tests_output.txt
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- store_artifacts:
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path: ~/transformers/tests_output.txt
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- store_artifacts:
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path: ~/transformers/reports
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run_tests_flax:
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working_directory: ~/transformers
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docker:
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- image: circleci/python:3.7
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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-flax-{{ 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: sudo pip install .[flax,testing,sentencepiece,flax-speech,vision]
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- save_cache:
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key: v0.4-flax-{{ 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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- 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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python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_flax $(cat test_list.txt) | tee tests_output.txt
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fi
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|
- store_artifacts:
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path: ~/transformers/tests_output.txt
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- store_artifacts:
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path: ~/transformers/reports
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|
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run_tests_flax_all:
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working_directory: ~/transformers
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|
docker:
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|
- image: circleci/python:3.7
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|
environment:
|
|
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:
|
|
- checkout
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|
- restore_cache:
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keys:
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- v0.4-flax-{{ 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: sudo pip install .[flax,testing,sentencepiece,vision,flax-speech]
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- save_cache:
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key: v0.4-flax-{{ checksum "setup.py" }}
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paths:
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- '~/.cache/pip'
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- run: |
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python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_flax tests | tee tests_output.txt
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- store_artifacts:
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path: ~/transformers/tests_output.txt
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|
- store_artifacts:
|
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path: ~/transformers/reports
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|
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|
run_tests_pipelines_torch:
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working_directory: ~/transformers
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docker:
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- image: circleci/python:3.7
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|
environment:
|
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OMP_NUM_THREADS: 1
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RUN_PIPELINE_TESTS: yes
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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:
|
|
- checkout
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|
- restore_cache:
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keys:
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- v0.4-torch-{{ checksum "setup.py" }}
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|
- v0.4-{{ checksum "setup.py" }}
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- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
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- run: pip install --upgrade pip
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- run: pip install .[sklearn,torch,testing,sentencepiece,torch-speech,vision,timm]
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- run: pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.10.0+cpu.html
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|
- save_cache:
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key: v0.4-torch-{{ 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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- 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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python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_pipelines_torch -m is_pipeline_test $(cat test_list.txt) | tee tests_output.txt
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fi
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- store_artifacts:
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path: ~/transformers/tests_output.txt
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|
- store_artifacts:
|
|
path: ~/transformers/reports
|
|
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run_tests_pipelines_torch_all:
|
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working_directory: ~/transformers
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|
docker:
|
|
- image: circleci/python:3.7
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|
environment:
|
|
OMP_NUM_THREADS: 1
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|
RUN_PIPELINE_TESTS: yes
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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:
|
|
- checkout
|
|
- restore_cache:
|
|
keys:
|
|
- v0.4-torch-{{ checksum "setup.py" }}
|
|
- v0.4-{{ checksum "setup.py" }}
|
|
- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
|
|
- run: pip install --upgrade pip
|
|
- run: pip install .[sklearn,torch,testing,sentencepiece,torch-speech,vision,timm]
|
|
- run: pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.10.0+cpu.html
|
|
- save_cache:
|
|
key: v0.4-torch-{{ checksum "setup.py" }}
|
|
paths:
|
|
- '~/.cache/pip'
|
|
- run: |
|
|
python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_pipelines_torch -m is_pipeline_test tests | tee tests_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/tests_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/reports
|
|
|
|
run_tests_pipelines_tf:
|
|
working_directory: ~/transformers
|
|
docker:
|
|
- image: circleci/python:3.7
|
|
environment:
|
|
OMP_NUM_THREADS: 1
|
|
RUN_PIPELINE_TESTS: yes
|
|
TRANSFORMERS_IS_CI: yes
|
|
resource_class: xlarge
|
|
parallelism: 1
|
|
steps:
|
|
- checkout
|
|
- restore_cache:
|
|
keys:
|
|
- v0.4-tf-{{ checksum "setup.py" }}
|
|
- v0.4-{{ checksum "setup.py" }}
|
|
- run: pip install --upgrade pip
|
|
- run: pip install .[sklearn,tf-cpu,testing,sentencepiece]
|
|
- save_cache:
|
|
key: v0.4-tf-{{ checksum "setup.py" }}
|
|
paths:
|
|
- '~/.cache/pip'
|
|
- run: python utils/tests_fetcher.py | tee test_preparation.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/test_preparation.txt
|
|
- run: |
|
|
if [ -f test_list.txt ]; then
|
|
python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_pipelines_tf $(cat test_list.txt) -m is_pipeline_test | tee tests_output.txt
|
|
fi
|
|
- store_artifacts:
|
|
path: ~/transformers/tests_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/reports
|
|
|
|
run_tests_pipelines_tf_all:
|
|
working_directory: ~/transformers
|
|
docker:
|
|
- image: circleci/python:3.7
|
|
environment:
|
|
OMP_NUM_THREADS: 1
|
|
RUN_PIPELINE_TESTS: yes
|
|
TRANSFORMERS_IS_CI: yes
|
|
resource_class: xlarge
|
|
parallelism: 1
|
|
steps:
|
|
- checkout
|
|
- restore_cache:
|
|
keys:
|
|
- v0.4-tf-{{ checksum "setup.py" }}
|
|
- v0.4-{{ checksum "setup.py" }}
|
|
- run: pip install --upgrade pip
|
|
- run: pip install .[sklearn,tf-cpu,testing,sentencepiece]
|
|
- save_cache:
|
|
key: v0.4-tf-{{ checksum "setup.py" }}
|
|
paths:
|
|
- '~/.cache/pip'
|
|
- run: |
|
|
python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_pipelines_tf tests -m is_pipeline_test | tee tests_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/tests_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/reports
|
|
|
|
run_tests_custom_tokenizers:
|
|
working_directory: ~/transformers
|
|
docker:
|
|
- image: circleci/python:3.7
|
|
environment:
|
|
RUN_CUSTOM_TOKENIZERS: yes
|
|
TRANSFORMERS_IS_CI: yes
|
|
steps:
|
|
- checkout
|
|
- restore_cache:
|
|
keys:
|
|
- v0.4-custom_tokenizers-{{ checksum "setup.py" }}
|
|
- v0.4-{{ checksum "setup.py" }}
|
|
- run: pip install --upgrade pip
|
|
- run: pip install .[ja,testing,sentencepiece,jieba]
|
|
- run: python -m unidic download
|
|
- save_cache:
|
|
key: v0.4-custom_tokenizers-{{ checksum "setup.py" }}
|
|
paths:
|
|
- '~/.cache/pip'
|
|
- run: |
|
|
if [ -f test_list.txt ]; then
|
|
python -m pytest -s --make-reports=tests_custom_tokenizers ./tests/test_tokenization_bert_japanese.py | tee tests_output.txt
|
|
fi
|
|
- store_artifacts:
|
|
path: ~/transformers/tests_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/reports
|
|
|
|
run_examples_torch:
|
|
working_directory: ~/transformers
|
|
docker:
|
|
- image: circleci/python:3.6
|
|
environment:
|
|
OMP_NUM_THREADS: 1
|
|
TRANSFORMERS_IS_CI: yes
|
|
resource_class: xlarge
|
|
parallelism: 1
|
|
steps:
|
|
- checkout
|
|
- restore_cache:
|
|
keys:
|
|
- v0.4-torch_examples-{{ checksum "setup.py" }}
|
|
- v0.4-{{ checksum "setup.py" }}
|
|
- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
|
|
- run: pip install --upgrade pip
|
|
- run: pip install .[sklearn,torch,sentencepiece,testing,torch-speech]
|
|
- run: pip install -r examples/pytorch/_tests_requirements.txt
|
|
- save_cache:
|
|
key: v0.4-torch_examples-{{ checksum "setup.py" }}
|
|
paths:
|
|
- '~/.cache/pip'
|
|
- run: python utils/tests_fetcher.py --filters examples tests | tee test_preparation.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/test_preparation.txt
|
|
- run: |
|
|
if [ -f test_list.txt ]; then
|
|
python -m pytest -n 8 --dist=loadfile -s --make-reports=examples_torch ./examples/pytorch/ | tee tests_output.txt
|
|
fi
|
|
- store_artifacts:
|
|
path: ~/transformers/examples_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/reports
|
|
|
|
run_examples_torch_all:
|
|
working_directory: ~/transformers
|
|
docker:
|
|
- image: circleci/python:3.6
|
|
environment:
|
|
OMP_NUM_THREADS: 1
|
|
TRANSFORMERS_IS_CI: yes
|
|
resource_class: xlarge
|
|
parallelism: 1
|
|
steps:
|
|
- checkout
|
|
- restore_cache:
|
|
keys:
|
|
- v0.4-torch_examples-{{ checksum "setup.py" }}
|
|
- v0.4-{{ checksum "setup.py" }}
|
|
- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
|
|
- run: pip install --upgrade pip
|
|
- run: pip install .[sklearn,torch,sentencepiece,testing,torch-speech]
|
|
- run: pip install -r examples/pytorch/_tests_requirements.txt
|
|
- save_cache:
|
|
key: v0.4-torch_examples-{{ checksum "setup.py" }}
|
|
paths:
|
|
- '~/.cache/pip'
|
|
- run: |
|
|
TRANSFORMERS_IS_CI=1 python -m pytest -n 8 --dist=loadfile -s --make-reports=examples_torch ./examples/pytorch/ | tee examples_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/examples_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/reports
|
|
|
|
run_tests_hub:
|
|
working_directory: ~/transformers
|
|
docker:
|
|
- image: circleci/python:3.7
|
|
environment:
|
|
HUGGINGFACE_CO_STAGING: yes
|
|
RUN_GIT_LFS_TESTS: yes
|
|
TRANSFORMERS_IS_CI: yes
|
|
resource_class: xlarge
|
|
parallelism: 1
|
|
steps:
|
|
- checkout
|
|
- restore_cache:
|
|
keys:
|
|
- v0.4-hub-{{ checksum "setup.py" }}
|
|
- v0.4-{{ checksum "setup.py" }}
|
|
- run: sudo apt-get install git-lfs
|
|
- run: |
|
|
git config --global user.email "ci@dummy.com"
|
|
git config --global user.name "ci"
|
|
- run: pip install --upgrade pip
|
|
- run: pip install .[torch,sentencepiece,testing]
|
|
- save_cache:
|
|
key: v0.4-hub-{{ checksum "setup.py" }}
|
|
paths:
|
|
- '~/.cache/pip'
|
|
- run: python utils/tests_fetcher.py | tee test_preparation.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/test_preparation.txt
|
|
- run: |
|
|
if [ -f test_list.txt ]; then
|
|
python -m pytest -sv --make-reports=tests_hub $(cat test_list.txt) -m is_staging_test | tee tests_output.txt
|
|
fi
|
|
- store_artifacts:
|
|
path: ~/transformers/tests_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/reports
|
|
|
|
run_tests_hub_all:
|
|
working_directory: ~/transformers
|
|
docker:
|
|
- image: circleci/python:3.7
|
|
environment:
|
|
HUGGINGFACE_CO_STAGING: yes
|
|
RUN_GIT_LFS_TESTS: yes
|
|
TRANSFORMERS_IS_CI: yes
|
|
resource_class: xlarge
|
|
parallelism: 1
|
|
steps:
|
|
- checkout
|
|
- restore_cache:
|
|
keys:
|
|
- v0.4-hub-{{ checksum "setup.py" }}
|
|
- v0.4-{{ checksum "setup.py" }}
|
|
- run: sudo apt-get install git-lfs
|
|
- run: |
|
|
git config --global user.email "ci@dummy.com"
|
|
git config --global user.name "ci"
|
|
- run: pip install --upgrade pip
|
|
- run: pip install .[torch,sentencepiece,testing]
|
|
- save_cache:
|
|
key: v0.4-hub-{{ checksum "setup.py" }}
|
|
paths:
|
|
- '~/.cache/pip'
|
|
- run: |
|
|
python -m pytest -sv --make-reports=tests_hub tests -m is_staging_test | tee tests_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/tests_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/reports
|
|
|
|
run_tests_onnxruntime:
|
|
working_directory: ~/transformers
|
|
docker:
|
|
- image: circleci/python:3.7
|
|
environment:
|
|
OMP_NUM_THREADS: 1
|
|
TRANSFORMERS_IS_CI: yes
|
|
resource_class: xlarge
|
|
parallelism: 1
|
|
steps:
|
|
- checkout
|
|
- restore_cache:
|
|
keys:
|
|
- v0.4-torch-{{ checksum "setup.py" }}
|
|
- v0.4-{{ checksum "setup.py" }}
|
|
- run: pip install --upgrade pip
|
|
- run: pip install .[torch,testing,sentencepiece,onnxruntime]
|
|
- save_cache:
|
|
key: v0.4-onnx-{{ checksum "setup.py" }}
|
|
paths:
|
|
- '~/.cache/pip'
|
|
- run: python utils/tests_fetcher.py | tee test_preparation.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/test_preparation.txt
|
|
- run: |
|
|
if [ -f test_list.txt ]; then
|
|
python -m pytest -n 1 --dist=loadfile -s --make-reports=tests_onnx $(cat test_list.txt) -k onnx | tee tests_output.txt
|
|
fi
|
|
- store_artifacts:
|
|
path: ~/transformers/tests_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/reports
|
|
|
|
run_tests_onnxruntime_all:
|
|
working_directory: ~/transformers
|
|
docker:
|
|
- image: circleci/python:3.7
|
|
environment:
|
|
OMP_NUM_THREADS: 1
|
|
TRANSFORMERS_IS_CI: yes
|
|
resource_class: xlarge
|
|
parallelism: 1
|
|
steps:
|
|
- checkout
|
|
- restore_cache:
|
|
keys:
|
|
- v0.4-torch-{{ checksum "setup.py" }}
|
|
- v0.4-{{ checksum "setup.py" }}
|
|
- run: pip install --upgrade pip
|
|
- run: pip install .[torch,testing,sentencepiece,onnxruntime]
|
|
- save_cache:
|
|
key: v0.4-onnx-{{ checksum "setup.py" }}
|
|
paths:
|
|
- '~/.cache/pip'
|
|
- run: |
|
|
python -m pytest -n 1 --dist=loadfile -s --make-reports=tests_onnx tests -k onnx | tee tests_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/tests_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/reports
|
|
|
|
build_doc:
|
|
working_directory: ~/transformers
|
|
docker:
|
|
- image: circleci/python:3.6
|
|
resource_class: large
|
|
steps:
|
|
- checkout
|
|
- restore_cache:
|
|
keys:
|
|
- v0.4-build_doc-{{ checksum "setup.py" }}
|
|
- v0.4-{{ checksum "setup.py" }}
|
|
- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
|
|
- run: pip install --upgrade pip
|
|
- run: pip install ."[docs]"
|
|
- run: pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.10.0+cpu.html
|
|
- save_cache:
|
|
key: v0.4-build_doc-{{ checksum "setup.py" }}
|
|
paths:
|
|
- '~/.cache/pip'
|
|
- run: cd docs && make html SPHINXOPTS="-W -j 4"
|
|
- store_artifacts:
|
|
path: ./docs/_build
|
|
|
|
deploy_doc:
|
|
working_directory: ~/transformers
|
|
docker:
|
|
- image: circleci/python:3.6
|
|
resource_class: large
|
|
steps:
|
|
- add_ssh_keys:
|
|
fingerprints:
|
|
- "5b:7a:95:18:07:8c:aa:76:4c:60:35:88:ad:60:56:71"
|
|
- checkout
|
|
- restore_cache:
|
|
keys:
|
|
- v0.4-deploy_doc-{{ checksum "setup.py" }}
|
|
- v0.4-{{ checksum "setup.py" }}
|
|
- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
|
|
- run: pip install --upgrade pip
|
|
- run: pip install ."[docs]"
|
|
- save_cache:
|
|
key: v0.4-deploy_doc-{{ checksum "setup.py" }}
|
|
paths:
|
|
- '~/.cache/pip'
|
|
- run: ./.circleci/deploy.sh
|
|
|
|
check_code_quality:
|
|
working_directory: ~/transformers
|
|
docker:
|
|
- image: circleci/python:3.6
|
|
resource_class: large
|
|
environment:
|
|
TRANSFORMERS_IS_CI: yes
|
|
parallelism: 1
|
|
steps:
|
|
- checkout
|
|
- restore_cache:
|
|
keys:
|
|
- v0.4-code_quality-{{ checksum "setup.py" }}
|
|
- v0.4-{{ checksum "setup.py" }}
|
|
- run: pip install --upgrade pip
|
|
- run: pip install isort GitPython
|
|
- run: pip install .[all,quality]
|
|
- save_cache:
|
|
key: v0.4-code_quality-{{ checksum "setup.py" }}
|
|
paths:
|
|
- '~/.cache/pip'
|
|
- run: black --check examples tests src utils
|
|
- run: isort --check-only examples tests src utils
|
|
- run: python utils/custom_init_isort.py --check_only
|
|
- run: flake8 examples tests src utils
|
|
- run: python utils/style_doc.py src/transformers docs/source --max_len 119 --check_only
|
|
- run: python utils/check_copies.py
|
|
- run: python utils/check_table.py
|
|
- run: python utils/check_dummies.py
|
|
- run: python utils/check_repo.py
|
|
- run: python utils/check_inits.py
|
|
- run: make deps_table_check_updated
|
|
- run: python utils/tests_fetcher.py --sanity_check
|
|
|
|
check_repository_consistency:
|
|
working_directory: ~/transformers
|
|
docker:
|
|
- image: circleci/python:3.6
|
|
resource_class: small
|
|
parallelism: 1
|
|
steps:
|
|
- checkout
|
|
- run: pip install requests
|
|
- run: python ./utils/link_tester.py
|
|
|
|
run_tests_layoutlmv2:
|
|
working_directory: ~/transformers
|
|
docker:
|
|
- image: circleci/python:3.7
|
|
environment:
|
|
OMP_NUM_THREADS: 1
|
|
TRANSFORMERS_IS_CI: yes
|
|
resource_class: xlarge
|
|
parallelism: 1
|
|
steps:
|
|
- checkout
|
|
- restore_cache:
|
|
keys:
|
|
- v0.4-torch-{{ checksum "setup.py" }}
|
|
- v0.4-{{ checksum "setup.py" }}
|
|
- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
|
|
- run: pip install --upgrade pip
|
|
- run: pip install .[torch,testing,vision]
|
|
- run: pip install torchvision
|
|
- run: python -m pip install 'git+https://github.com/facebookresearch/detectron2.git'
|
|
- run: sudo apt install tesseract-ocr
|
|
- run: pip install pytesseract
|
|
- save_cache:
|
|
key: v0.4-torch-{{ checksum "setup.py" }}
|
|
paths:
|
|
- '~/.cache/pip'
|
|
- run: python utils/tests_fetcher.py | tee test_preparation.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/test_preparation.txt
|
|
- run: |
|
|
if [ -f test_list.txt ]; then
|
|
python -m pytest -n 1 tests/*layoutlmv2* --dist=loadfile -s --make-reports=tests_layoutlmv2 --durations=100
|
|
fi
|
|
- store_artifacts:
|
|
path: ~/transformers/tests_output.txt
|
|
- store_artifacts:
|
|
path: ~/transformers/reports
|
|
|
|
# TPU JOBS
|
|
run_examples_tpu:
|
|
docker:
|
|
- image: circleci/python:3.6
|
|
environment:
|
|
OMP_NUM_THREADS: 1
|
|
TRANSFORMERS_IS_CI: yes
|
|
resource_class: xlarge
|
|
parallelism: 1
|
|
steps:
|
|
- checkout
|
|
- go/install
|
|
- *checkout_ml_testing
|
|
- gcp-gke/install
|
|
- gcp-gke/update-kubeconfig-with-credentials:
|
|
cluster: $GKE_CLUSTER
|
|
perform-login: true
|
|
- setup_remote_docker
|
|
- *build_push_docker
|
|
- *deploy_cluster
|
|
|
|
cleanup-gke-jobs:
|
|
docker:
|
|
- image: circleci/python:3.6
|
|
steps:
|
|
- gcp-gke/install
|
|
- gcp-gke/update-kubeconfig-with-credentials:
|
|
cluster: $GKE_CLUSTER
|
|
perform-login: true
|
|
- *delete_gke_jobs
|
|
|
|
workflow_filters: &workflow_filters
|
|
filters:
|
|
branches:
|
|
only:
|
|
- master
|
|
workflows:
|
|
version: 2
|
|
build_and_test:
|
|
jobs:
|
|
- check_code_quality
|
|
- check_repository_consistency
|
|
- run_examples_torch
|
|
- run_tests_custom_tokenizers
|
|
- run_tests_torch_and_tf
|
|
- run_tests_torch_and_flax
|
|
- run_tests_torch
|
|
- run_tests_tf
|
|
- run_tests_flax
|
|
- run_tests_pipelines_torch
|
|
- run_tests_pipelines_tf
|
|
- run_tests_onnxruntime
|
|
- run_tests_hub
|
|
- build_doc
|
|
- run_tests_layoutlmv2
|
|
- deploy_doc: *workflow_filters
|
|
nightly:
|
|
triggers:
|
|
- schedule:
|
|
cron: "0 0 * * *"
|
|
filters:
|
|
branches:
|
|
only:
|
|
- master
|
|
jobs:
|
|
- run_examples_torch_all
|
|
- run_tests_torch_and_tf_all
|
|
- run_tests_torch_and_flax_all
|
|
- run_tests_torch_all
|
|
- run_tests_tf_all
|
|
- run_tests_flax_all
|
|
- run_tests_pipelines_torch_all
|
|
- run_tests_pipelines_tf_all
|
|
- run_tests_onnxruntime_all
|
|
- run_tests_hub_all
|
|
|
|
# tpu_testing_jobs:
|
|
# triggers:
|
|
# - schedule:
|
|
# # Set to run at the first minute of every hour.
|
|
# cron: "0 8 * * *"
|
|
# filters:
|
|
# branches:
|
|
# only:
|
|
# - master
|
|
# jobs:
|
|
# - cleanup-gke-jobs
|
|
# - run_examples_tpu
|