Use a dynamic configuration for circleCI tests (#19325)

* Generate config on the file

* Fake modif for all test launch

* Upload more artifacts

* Typo and quality

* Try converting th yml to txt

* Leave my long lines alone yaml

* Debug prints

* Debug prints v2

* Try without sorting

* Was it really working before?

* Typo

* Use a parameter

* Use a parameter?

* Typo

* Here is some JSON

* Another try

* Learning to read...

* Check default is used

* Does this work?

* With continuation

* WiP

* Use a parameter for test list

* Other fake modif

* With the comma

* Name the test step so it doesn't blow up

* Just one example modification

* Final steps

* Add nightlies

* Move config generator

* Add trigger for nightlies

* Better workflow

* Rebase on recent changes

* Fix config creation

* Fake modif in an example

* Now fake modif in one config file

* Fix install step in custom tokenizers test

* Fix generated config

* Better fix hopefully

* Finally test modif in setup

* final cleanup

.circleci/config.yml

@@ -1,65 +1,12 @@
 version: 2.1
+setup: true
 orbs:
-    gcp-gke: circleci/gcp-gke@1.0.4
+    continuation: circleci/continuation@0.1.0
-    go: circleci/go@1.3.0
-
-# TPU REFERENCES
-references:
-    checkout_ml_testing: &checkout_ml_testing
-        run:
-            name: Checkout ml-testing-accelerators
-            command: |
-                git clone https://github.com/GoogleCloudPlatform/ml-testing-accelerators.git
-                cd ml-testing-accelerators
-                git fetch origin 5e88ac24f631c27045e62f0e8d5dfcf34e425e25:stable
-                git checkout stable
-    build_push_docker: &build_push_docker
-        run:
-            name: Configure Docker
-            command: |
-                gcloud --quiet auth configure-docker
-                cd docker/transformers-pytorch-tpu
-                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
-                docker push "$GCR_IMAGE_PATH:$CIRCLE_WORKFLOW_JOB_ID"
-    deploy_cluster: &deploy_cluster
-        run:
-            name: Deploy the job on the kubernetes cluster
-            command: |
-                go get github.com/google/go-jsonnet/cmd/jsonnet && \
-                export PATH=$PATH:$HOME/go/bin && \
-                kubectl create -f docker/transformers-pytorch-tpu/dataset.yaml || true && \
-                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=$CIRCLE_WORKFLOW_JOB_ID | kubectl create -f -) && \
-                job_name=${job_name#job.batch/} && \
-                job_name=${job_name% created} && \
-                echo "Waiting on kubernetes job: $job_name" && \
-                i=0 && \
-                # 30 checks spaced 30s apart = 900s total.
-                max_checks=30 && \
-                status_code=2 && \
-                # Check on the job periodically. Set the status code depending on what
-                # happened to the job in Kubernetes. If we try max_checks times and
-                # still the job hasn't finished, give up and return the starting
-                # non-zero status code.
-                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 && \
-                echo "Done waiting. Job status code: $status_code" && \
-                pod_name=$(kubectl get po -l controller-uid=`kubectl get job $job_name -o "jsonpath={.metadata.labels.controller-uid}"` | awk 'match($0,!/NAME/) {print $1}') && \
-                echo "GKE pod name: $pod_name" && \
-                kubectl logs -f $pod_name --container=train
-                echo "Done with log retrieval attempt." && \
-                gcloud container images delete "$GCR_IMAGE_PATH:$CIRCLE_WORKFLOW_JOB_ID" --force-delete-tags && \
-                exit $status_code
-    delete_gke_jobs: &delete_gke_jobs
-        run:
-            name: Delete GKE Jobs
-            command: |
-                # Match jobs whose age matches patterns like '1h' or '1d', i.e. any job
-                # that has been around longer than 1hr. First print all columns for
-                # matches, then execute the delete.
-                kubectl get job | awk 'match($4,/[0-9]+[dh]/) {print $0}'
-                kubectl delete job $(kubectl get job | awk 'match($4,/[0-9]+[dh]/) {print $1}')
-
-
 
+parameters:
+    nightly:
+        type: boolean
+        default: false
 
 jobs:
     # Fetch the tests to run
@@ -76,7 +23,7 @@ jobs:
             - run: mkdir -p test_preparation
             - run: python utils/tests_fetcher.py | tee tests_fetched_summary.txt
             - store_artifacts:
-                path: ~/transformers/tests_fetched_summary.txt
+                  path: ~/transformers/tests_fetched_summary.txt
             - run: |
                 if [ -f test_list.txt ]; then
                     cp test_list.txt test_preparation/test_list.txt
@@ -90,24 +37,30 @@ jobs:
                 else
                     touch test_preparation/filtered_test_list.txt
                 fi
+            - run: python utils/tests_fetcher.py --filters tests examples | tee examples_tests_fetched_summary.txt
+            - run: |
+                  if [ -f test_list.txt ]; then
+                      mv test_list.txt test_preparation/examples_test_list.txt
+                  else
+                      touch test_preparation/examples_test_list.txt
+                  fi
+            - store_artifacts:
+                  path: test_preparation/test_list.txt
             - store_artifacts:
                   path: ~/transformers/test_preparation/filtered_test_list.txt
-            - run: python utils/tests_fetcher.py --filters tests examples | tee examples_tests_fetched_summary.txt
             - store_artifacts:
-                path: ~/transformers/examples_tests_fetched_summary.txt
+                  path: test_preparation/examples_test_list.txt
+            - run: python .circleci/create_circleci_config.py --fetcher_folder test_preparation
             - run: |
-                if [ -f test_list.txt ]; then
+                  if [ ! -s test_preparation/generated_config.yml ]; then
-                    mv test_list.txt test_preparation/examples_test_list.txt
+                      echo "No tests to run, exiting early!"
-                else
+                      circleci-agent step halt
-                    touch test_preparation/examples_test_list.txt
+                  fi
-                fi
+            - run: cp test_preparation/generated_config.yml test_preparation/generated_config.txt
-
+            - store_artifacts:
-            - persist_to_workspace:
+                  path: test_preparation/generated_config.txt
-                root: test_preparation/
+            - continuation/continue:
-                paths:
+                  configuration_path: test_preparation/generated_config.yml
-                    test_list.txt
-                    filtered_test_list.txt
-                    examples_test_list.txt
 
     # To run all tests for the nightly build
     fetch_all_tests:
@@ -116,516 +69,20 @@ jobs:
             - image: cimg/python:3.7.12
         parallelism: 1
         steps:
+            - run: pip install --upgrade pip
+            - run: pip install .
             - run: |
                   mkdir test_preparation
                   echo "tests" > test_preparation/test_list.txt
                   echo "tests" > test_preparation/examples_test_list.txt
             - run: python utils/tests_fetcher.py --filter_pipeline_tests
             - run: mv test_list.txt test_preparation/filtered_test_list.txt
-
+            - run: python .circleci/create_circleci_config.py --fetcher_folder test_preparation
-            - persist_to_workspace:
+            - run: cp test_preparation/generated_config.yml test_preparation/generated_config.txt
-                  root: test_preparation/
-                  paths:
-                      test_list.txt
-
-    run_tests_torch_and_tf:
-        working_directory: ~/transformers
-        docker:
-            - image: cimg/python:3.7.12
-        environment:
-            OMP_NUM_THREADS: 1
-            RUN_PT_TF_CROSS_TESTS: yes
-            TRANSFORMERS_IS_CI: yes
-            PYTEST_TIMEOUT: 120
-        resource_class: xlarge
-        parallelism: 1
-        steps:
-            - checkout
-            - attach_workspace:
-                at: ~/transformers/test_preparation
-            - run: |
-                if [ ! -s test_preparation/filtered_test_list.txt ]; then
-                    echo "No tests to run, exiting early!"
-                    circleci-agent step halt
-                fi
-            - restore_cache:
-                  keys:
-                      - v0.5-torch_and_tf-{{ checksum "setup.py" }}
-                      - v0.5-torch_and_tf-
-            - run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev espeak-ng git-lfs
-            - run: git lfs install
-            - run: pip install --upgrade pip
-            - run: pip install .[sklearn,tf-cpu,torch,testing,sentencepiece,torch-speech,vision]
-            - run: pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.12.0+cpu.html
-            - run: pip install tensorflow_probability
-            - run: pip install https://github.com/kpu/kenlm/archive/master.zip
-            - run: pip install git+https://github.com/huggingface/accelerate
-            - save_cache:
-                key: v0.5-torch_and_tf-{{ checksum "setup.py" }}
-                paths:
-                    - '~/.cache/pip'
-            - run: python -m pytest -n 8 --max-worker-restart=0 --dist=loadfile -rA -s --make-reports=tests_torch_and_tf $(cat test_preparation/filtered_test_list.txt) -m is_pt_tf_cross_test --durations=0 | tee tests_output.txt
             - store_artifacts:
-                  path: ~/transformers/tests_output.txt
+                  path: test_preparation/generated_config.txt
-            - store_artifacts:
+            - continuation/continue:
-                  path: ~/transformers/reports
+                  configuration_path: test_preparation/generated_config.yml
-
-    run_tests_torch_and_flax:
-        working_directory: ~/transformers
-        docker:
-            - image: cimg/python:3.7.12
-        environment:
-            OMP_NUM_THREADS: 1
-            RUN_PT_FLAX_CROSS_TESTS: yes
-            TRANSFORMERS_IS_CI: yes
-            PYTEST_TIMEOUT: 120
-        resource_class: xlarge
-        parallelism: 1
-        steps:
-            - checkout
-            - attach_workspace:
-                at: ~/transformers/test_preparation
-            - run: |
-                if [ ! -s test_preparation/filtered_test_list.txt ]; then
-                    echo "No tests to run, exiting early!"
-                    circleci-agent step halt
-                fi
-            - restore_cache:
-                  keys:
-                      - v0.5-torch_and_flax-{{ checksum "setup.py" }}
-                      - v0.5-torch_and_flax-
-            - run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev espeak-ng
-            - run: pip install --upgrade pip
-            - run: pip install .[sklearn,flax,torch,testing,sentencepiece,torch-speech,vision]
-            - run: pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.12.0+cpu.html
-            - run: pip install https://github.com/kpu/kenlm/archive/master.zip
-            - run: pip install git+https://github.com/huggingface/accelerate
-            - save_cache:
-                key: v0.5-torch_and_flax-{{ checksum "setup.py" }}
-                paths:
-                    - '~/.cache/pip'
-            - run: python -m pytest -n 8 --max-worker-restart=0 --dist=loadfile -rA -s --make-reports=tests_torch_and_flax $(cat test_preparation/filtered_test_list.txt) -m is_pt_flax_cross_test --durations=0 | tee tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/reports
-
-    run_tests_torch:
-        working_directory: ~/transformers
-        docker:
-            - image: cimg/python:3.7.12
-        environment:
-            OMP_NUM_THREADS: 1
-            TRANSFORMERS_IS_CI: yes
-            PYTEST_TIMEOUT: 120
-        resource_class: xlarge
-        parallelism: 1
-        steps:
-            - checkout
-            - attach_workspace:
-                at: ~/transformers/test_preparation
-            - run: |
-                if [ ! -s test_preparation/filtered_test_list.txt ]; then
-                    echo "No tests to run, exiting early!"
-                    circleci-agent step halt
-                fi
-            - restore_cache:
-                  keys:
-                      - v0.5-torch-{{ checksum "setup.py" }}
-                      - v0.5-torch-
-            - run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev espeak-ng time
-            - 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-1.12.0+cpu.html
-            - run: pip install https://github.com/kpu/kenlm/archive/master.zip
-            - run: pip install git+https://github.com/huggingface/accelerate
-            - save_cache:
-                  key: v0.5-torch-{{ checksum "setup.py" }}
-                  paths:
-                      - '~/.cache/pip'
-            - run: python -m pytest -n 3 --max-worker-restart=0 --dist=loadfile -s --make-reports=tests_torch $(cat test_preparation/filtered_test_list.txt) | tee tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/reports
-
-    run_tests_tf:
-        working_directory: ~/transformers
-        docker:
-            - image: cimg/python:3.7.12
-        environment:
-            OMP_NUM_THREADS: 1
-            TRANSFORMERS_IS_CI: yes
-            PYTEST_TIMEOUT: 120
-        resource_class: xlarge
-        parallelism: 1
-        steps:
-            - checkout
-            - attach_workspace:
-                at: ~/transformers/test_preparation
-            - run: |
-                if [ ! -s test_preparation/filtered_test_list.txt ]; then
-                    echo "No tests to run, exiting early!"
-                    circleci-agent step halt
-                fi
-            - restore_cache:
-                  keys:
-                      - v0.5-tf-{{ checksum "setup.py" }}
-                      - v0.5-tf-
-            - run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev espeak-ng
-            - run: pip install --upgrade pip
-            - run: pip install .[sklearn,tf-cpu,testing,sentencepiece,tf-speech,vision]
-            - run: pip install tensorflow_probability
-            - run: pip install https://github.com/kpu/kenlm/archive/master.zip
-            - save_cache:
-                  key: v0.5-tf-{{ checksum "setup.py" }}
-                  paths:
-                      - '~/.cache/pip'
-            - run: python -m pytest -n 8 --max-worker-restart=0 --dist=loadfile -rA -s --make-reports=tests_tf $(cat test_preparation/filtered_test_list.txt) | tee tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/reports
-
-    run_tests_flax:
-        working_directory: ~/transformers
-        docker:
-            - image: cimg/python:3.7.12
-        environment:
-            OMP_NUM_THREADS: 1
-            TRANSFORMERS_IS_CI: yes
-            PYTEST_TIMEOUT: 120
-        resource_class: xlarge
-        parallelism: 1
-        steps:
-            - checkout
-            - attach_workspace:
-                at: ~/transformers/test_preparation
-            - run: |
-                if [ ! -s test_preparation/filtered_test_list.txt ]; then
-                    echo "No tests to run, exiting early!"
-                    circleci-agent step halt
-                fi
-            - restore_cache:
-                keys:
-                    - v0.5-flax-{{ checksum "setup.py" }}
-                    - v0.5-flax-
-            - run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev espeak-ng
-            - run: pip install --upgrade pip
-            - run: pip install .[flax,testing,sentencepiece,flax-speech,vision]
-            - run: pip install https://github.com/kpu/kenlm/archive/master.zip
-            - save_cache:
-                  key: v0.5-flax-{{ checksum "setup.py" }}
-                  paths:
-                      - '~/.cache/pip'
-            - run: python -m pytest -n 8 --max-worker-restart=0 --dist=loadfile -rA -s --make-reports=tests_flax $(cat test_preparation/filtered_test_list.txt) | tee tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/reports
-
-    run_tests_pipelines_torch:
-        working_directory: ~/transformers
-        docker:
-            - image: cimg/python:3.7.12
-        environment:
-            OMP_NUM_THREADS: 1
-            TRANSFORMERS_IS_CI: yes
-            PYTEST_TIMEOUT: 120
-        resource_class: xlarge
-        parallelism: 1
-        steps:
-            - checkout
-            - attach_workspace:
-                at: ~/transformers/test_preparation
-            - run: |
-                if [ ! -s test_preparation/test_list.txt ]; then
-                    echo "No tests to run, exiting early!"
-                    circleci-agent step halt
-                fi
-            - restore_cache:
-                  keys:
-                      - v0.5-torch-{{ checksum "setup.py" }}
-                      - v0.5-torch-
-            - run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev espeak-ng
-            - 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-1.12.0+cpu.html
-            - run: pip install https://github.com/kpu/kenlm/archive/master.zip
-            - save_cache:
-                  key: v0.5-torch-{{ checksum "setup.py" }}
-                  paths:
-                      - '~/.cache/pip'
-            - run: python -m pytest -n 8 --max-worker-restart=0 --dist=loadfile -rA -s --make-reports=tests_pipelines_torch tests/pipelines | 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: cimg/python:3.7.12
-        environment:
-            OMP_NUM_THREADS: 1
-            TRANSFORMERS_IS_CI: yes
-            PYTEST_TIMEOUT: 120
-        resource_class: xlarge
-        parallelism: 1
-        steps:
-            - checkout
-            - attach_workspace:
-                at: ~/transformers/test_preparation
-            - run: |
-                if [ ! -s test_preparation/test_list.txt ]; then
-                    echo "No tests to run, exiting early!"
-                    circleci-agent step halt
-                fi
-            - restore_cache:
-                  keys:
-                      - v0.5-tf-{{ checksum "setup.py" }}
-                      - v0.5-tf-
-            - run: pip install --upgrade pip
-            - run: pip install .[sklearn,tf-cpu,testing,sentencepiece]
-            - run: pip install tensorflow_probability
-            - save_cache:
-                  key: v0.5-tf-{{ checksum "setup.py" }}
-                  paths:
-                      - '~/.cache/pip'
-            - run: python -m pytest -n 8 --max-worker-restart=0 --dist=loadfile -rA -s --make-reports=tests_pipelines_tf tests/pipelines | 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: cimg/python:3.7.12
-        environment:
-            RUN_CUSTOM_TOKENIZERS: yes
-            TRANSFORMERS_IS_CI: yes
-            PYTEST_TIMEOUT: 120
-        steps:
-            - checkout
-            - attach_workspace:
-                at: ~/transformers/test_preparation
-            - run: |
-                if [ ! -s test_preparation/filtered_test_list.txt ]; then
-                    echo "No tests to run, exiting early!"
-                    circleci-agent step halt
-                fi
-            - restore_cache:
-                  keys:
-                      - v0.5-custom_tokenizers-{{ checksum "setup.py" }}
-                      - v0.5-custom_tokenizers-
-            - run: sudo apt-get -y update && sudo apt-get install -y cmake
-            - run:
-                name: install jumanpp
-                command: |
-                    wget https://github.com/ku-nlp/jumanpp/releases/download/v2.0.0-rc3/jumanpp-2.0.0-rc3.tar.xz
-                    tar xvf jumanpp-2.0.0-rc3.tar.xz
-                    mkdir jumanpp-2.0.0-rc3/bld
-                    cd jumanpp-2.0.0-rc3/bld
-                    sudo cmake .. -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr/local
-                    sudo make install
-            - run: pip install --upgrade pip
-            - run: pip install .[ja,testing,sentencepiece,jieba,spacy,ftfy,rjieba]
-            - run: python -m unidic download
-            - save_cache:
-                  key: v0.5-custom_tokenizers-{{ checksum "setup.py" }}
-                  paths:
-                      - '~/.cache/pip'
-            - run: python -m pytest --max-worker-restart=0 -s --make-reports=tests_custom_tokenizers ./tests/models/bert_japanese/test_tokenization_bert_japanese.py ./tests/models/openai/test_tokenization_openai.py ./tests/models/clip/test_tokenization_clip.py | tee tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/reports
-
-    run_examples_torch:
-        working_directory: ~/transformers
-        docker:
-            - image: cimg/python:3.7.12
-        environment:
-            OMP_NUM_THREADS: 1
-            TRANSFORMERS_IS_CI: yes
-            PYTEST_TIMEOUT: 120
-        resource_class: xlarge
-        parallelism: 1
-        steps:
-            - checkout
-            - attach_workspace:
-                at: ~/transformers/test_preparation
-            - run: |
-                if [ ! -s test_preparation/examples_test_list.txt ]; then
-                    echo "No tests to run, exiting early!"
-                    circleci-agent step halt
-                fi
-            - restore_cache:
-                  keys:
-                      - v0.5-torch_examples-{{ checksum "setup.py" }}
-                      - v0.5-torch_examples-
-            - run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev espeak-ng
-            - 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: v0.5-torch_examples-{{ checksum "setup.py" }}
-                  paths:
-                      - '~/.cache/pip'
-            - run: python -m pytest -n 8 --max-worker-restart=0 --dist=loadfile -s --make-reports=examples_torch ./examples/pytorch/ | tee tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/examples_output.txt
-            - store_artifacts:
-                  path: ~/transformers/reports
-
-    run_examples_tensorflow:
-        working_directory: ~/transformers
-        docker:
-            - image: cimg/python:3.7.12
-        environment:
-            OMP_NUM_THREADS: 1
-            TRANSFORMERS_IS_CI: yes
-            PYTEST_TIMEOUT: 120
-        resource_class: xlarge
-        parallelism: 1
-        steps:
-            - checkout
-            - attach_workspace:
-                at: ~/transformers/test_preparation
-            - run: |
-                if [ ! -s test_preparation/examples_test_list.txt ]; then
-                    echo "No tests to run, exiting early!"
-                    circleci-agent step halt
-                fi
-            - restore_cache:
-                  keys:
-                      - v0.5-tensorflow_examples-{{ checksum "setup.py" }}
-                      - v0.5-tensorflow_examples-
-            - run: pip install --upgrade pip
-            - run: pip install .[sklearn,tensorflow,sentencepiece,testing]
-            - run: pip install -r examples/tensorflow/_tests_requirements.txt
-            - save_cache:
-                  key: v0.5-tensorflow_examples-{{ checksum "setup.py" }}
-                  paths:
-                      - '~/.cache/pip'
-            - run: python -m pytest -n 8 --max-worker-restart=0 --dist=loadfile -s --make-reports=examples_tensorflow ./examples/tensorflow/ | tee tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/tensorflow_examples_output.txt
-            - store_artifacts:
-                  path: ~/transformers/reports
-
-    run_examples_flax:
-        working_directory: ~/transformers
-        docker:
-            - image: cimg/python:3.7.12
-        environment:
-            OMP_NUM_THREADS: 1
-            TRANSFORMERS_IS_CI: yes
-            PYTEST_TIMEOUT: 120
-        resource_class: xlarge
-        parallelism: 1
-        steps:
-            - checkout
-            - attach_workspace:
-                at: ~/transformers/test_preparation
-            - run: |
-                if [ ! -s test_preparation/examples_test_list.txt ]; then
-                    echo "No tests to run, exiting early!"
-                    circleci-agent step halt
-                fi
-            - restore_cache:
-                keys:
-                    - v0.5-flax_examples-{{ checksum "setup.py" }}
-                    - v0.5-flax_examples-
-            - run: pip install --upgrade pip
-            - run: pip install .[flax,testing,sentencepiece]
-            - run: pip install -r examples/flax/_tests_requirements.txt
-            - save_cache:
-                  key: v0.5-flax_examples-{{ checksum "setup.py" }}
-                  paths:
-                      - '~/.cache/pip'
-            - run: python -m pytest -n 8 --max-worker-restart=0 --dist=loadfile -s --make-reports=examples_flax ./examples/flax/ | tee tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/flax_examples_output.txt
-            - store_artifacts:
-                  path: ~/transformers/reports
-
-    run_tests_hub:
-        working_directory: ~/transformers
-        docker:
-            - image: cimg/python:3.7.12
-        environment:
-            HUGGINGFACE_CO_STAGING: yes
-            RUN_GIT_LFS_TESTS: yes
-            TRANSFORMERS_IS_CI: yes
-            PYTEST_TIMEOUT: 120
-        resource_class: xlarge
-        parallelism: 1
-        steps:
-            - checkout
-            - attach_workspace:
-                at: ~/transformers/test_preparation
-            - run: |
-                if [ ! -s test_preparation/filtered_test_list.txt ]; then
-                    echo "No tests to run, exiting early!"
-                    circleci-agent step halt
-                fi
-            - restore_cache:
-                  keys:
-                      - v0.5-hub-{{ checksum "setup.py" }}
-                      - v0.5-hub-
-            - run: sudo apt-get -y update && 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: v0.5-hub-{{ checksum "setup.py" }}
-                  paths:
-                      - '~/.cache/pip'
-            - run: python -m pytest --max-worker-restart=0 -sv --make-reports=tests_hub $(cat test_preparation/filtered_test_list.txt) -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: cimg/python:3.7.12
-        environment:
-            OMP_NUM_THREADS: 1
-            TRANSFORMERS_IS_CI: yes
-            PYTEST_TIMEOUT: 120
-        resource_class: xlarge
-        parallelism: 1
-        steps:
-            - checkout
-            - attach_workspace:
-                at: ~/transformers/test_preparation
-            - run: |
-                if [ ! -s test_preparation/filtered_test_list.txt ]; then
-                    echo "No tests to run, exiting early!"
-                    circleci-agent step halt
-                fi
-            - restore_cache:
-                  keys:
-                      - v0.5-onnx-{{ checksum "setup.py" }}
-                      - v0.5-onnx-
-            - run: pip install --upgrade pip
-            - run: pip install .[torch,tf,testing,sentencepiece,onnxruntime,vision,rjieba]
-            - save_cache:
-                  key: v0.5-onnx-{{ checksum "setup.py" }}
-                  paths:
-                      - '~/.cache/pip'
-            - run: python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s --make-reports=tests_onnx $(cat test_preparation/filtered_test_list.txt) -k onnx | tee tests_output.txt
-
-            - store_artifacts:
-                  path: ~/transformers/tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/reports
 
     check_code_quality:
         working_directory: ~/transformers
@@ -641,7 +98,7 @@ jobs:
             - restore_cache:
                   keys:
                       - v0.5-code_quality-{{ checksum "setup.py" }}
-                      - v0.5-code_quality-
+                      - v0.5-code-quality
             - run: pip install --upgrade pip
             - run: pip install .[all,quality]
             - save_cache:
@@ -670,7 +127,7 @@ jobs:
             - restore_cache:
                   keys:
                       - v0.5-repository_consistency-{{ checksum "setup.py" }}
-                      - v0.5-repository_consistency-
+                      - v0.5-repository_consistency
             - run: pip install --upgrade pip
             - run: pip install .[all,quality]
             - save_cache:
@@ -687,196 +144,19 @@ jobs:
             - run: python utils/tests_fetcher.py --sanity_check
             - run: python utils/update_metadata.py --check-only
 
-    run_tests_layoutlmv2_and_v3:
-        working_directory: ~/transformers
-        docker:
-            - image: cimg/python:3.7.12
-        environment:
-            OMP_NUM_THREADS: 1
-            TRANSFORMERS_IS_CI: yes
-            PYTEST_TIMEOUT: 120
-        resource_class: xlarge
-        parallelism: 1
-        steps:
-            - checkout
-            - attach_workspace:
-                at: ~/transformers/filtered_test_list.txt
-            - run: |
-                if [ ! -s test_preparation/test_list.txt ]; then
-                    echo "No tests to run, exiting early!"
-                    circleci-agent step halt
-                fi
-            - restore_cache:
-                  keys:
-                      - v0.5-torch-{{ checksum "setup.py" }}
-                      - v0.5-torch-
-            - 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
-            # The commit `36a65a0907d90ed591479b2ebaa8b61cfa0b4ef0` in `detectron2` break things.
-            # See https://github.com/facebookresearch/detectron2/commit/36a65a0907d90ed591479b2ebaa8b61cfa0b4ef0#comments.
-            # TODO: Revert this change back once the above issue is fixed.
-            - 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: v0.5-torch-{{ checksum "setup.py" }}
-                  paths:
-                      - '~/.cache/pip'
-            - run: python -m pytest -n 1 --max-worker-restart=0 tests/models/*layoutlmv* --dist=loadfile -s --make-reports=tests_layoutlmv2_and_v3 --durations=100
-            - store_artifacts:
-                  path: ~/transformers/tests_output.txt
-            - store_artifacts:
-                  path: ~/transformers/reports
-
-# TPU JOBS
-    run_examples_tpu:
-        docker:
-            - image: cimg/python:3.7.12
-        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: cimg/python:3.7.12
-        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:
-                - main
 workflows:
     version: 2
-    build_and_test:
+    setup_and_quality:
+        when:
+            not: <<pipeline.parameters.nightly>>
         jobs:
             - check_code_quality
             - check_repository_consistency
             - fetch_tests
-            - run_examples_torch:
-                requires:
-                  - fetch_tests
-            - run_examples_tensorflow:
-                requires:
-                  - fetch_tests
-            - run_examples_flax:
-                requires:
-                  - fetch_tests
-            - run_tests_custom_tokenizers:
-                requires:
-                  - fetch_tests
-            - run_tests_torch_and_tf:
-                requires:
-                  - fetch_tests
-            - run_tests_torch_and_flax:
-                requires:
-                  - fetch_tests
-            - run_tests_torch:
-                requires:
-                  - fetch_tests
-            - run_tests_tf:
-                requires:
-                  - fetch_tests
-            - run_tests_flax:
-                requires:
-                  - fetch_tests
-            - run_tests_pipelines_torch:
-                requires:
-                  - fetch_tests
-            - run_tests_pipelines_tf:
-                requires:
-                  - fetch_tests
-            - run_tests_onnxruntime:
-                requires:
-                  - fetch_tests
-            - run_tests_hub:
-                requires:
-                  - fetch_tests
-            - run_tests_layoutlmv2_and_v3:
-                requires:
-                  - fetch_tests
-    nightly:
-        triggers:
-            - schedule:
-                cron: "0 0 * * *"
-                filters:
-                    branches:
-                        only:
-                            - main
-        jobs:
-            - fetch_all_tests
-            - run_examples_torch:
-                requires:
-                  - fetch_all_tests
-            - run_examples_tensorflow:
-                requires:
-                  - fetch_all_tests
-            - run_examples_flax:
-                requires:
-                  - fetch_all_tests
-            - run_tests_custom_tokenizers:
-                requires:
-                  - fetch_all_tests
-            - run_tests_torch_and_tf:
-                requires:
-                  - fetch_all_tests
-            - run_tests_torch_and_flax:
-                requires:
-                  - fetch_all_tests
-            - run_tests_torch:
-                requires:
-                  - fetch_all_tests
-            - run_tests_tf:
-                requires:
-                  - fetch_all_tests
-            - run_tests_flax:
-                requires:
-                  - fetch_all_tests
-            - run_tests_pipelines_torch:
-                requires:
-                  - fetch_all_tests
-            - run_tests_pipelines_tf:
-                requires:
-                  - fetch_all_tests
-            - run_tests_onnxruntime:
-                requires:
-                  - fetch_all_tests
-            - run_tests_hub:
-                requires:
-                  - fetch_all_tests
-            - run_tests_layoutlmv2_and_v3:
-                requires:
-                  - fetch_all_tests
 
-#    tpu_testing_jobs:
+    nightly:
-#        triggers:
+        when: <<pipeline.parameters.nightly>>
-#            - schedule:
+        jobs:
-#                # Set to run at the first minute of every hour.
+            - check_code_quality
-#                cron: "0 8 * * *"
+            - check_repository_consistency
-#                filters:
+            - fetch_all_tests
-#                    branches:
-#                        only:
-#                            - main
-#        jobs:
-#            - cleanup-gke-jobs
-#            - run_examples_tpu

.circleci/create_circleci_config.py

@@ -0,0 +1,391 @@
+# coding=utf-8
+# Copyright 2022 The HuggingFace Inc. team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import argparse
+import copy
+import os
+from dataclasses import dataclass
+from typing import Any, Dict, List, Optional
+
+import yaml
+
+
+COMMON_ENV_VARIABLES = {"OMP_NUM_THREADS": 1, "TRANSFORMERS_IS_CI": True, "PYTEST_TIMEOUT": 120}
+COMMON_PYTEST_OPTIONS = {"max-worker-restart": 0, "dist": "loadfile", "s": None}
+DEFAULT_DOCKER_IMAGE = [{"image": "cimg/python:3.7.12"}]
+TORCH_SCATTER_INSTALL = "pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.12.0+cpu.html"
+
+
+@dataclass
+class CircleCIJob:
+    name: str
+    additional_env: Dict[str, Any] = None
+    cache_name: str = None
+    cache_version: str = "0.5"
+    docker_image: List[Dict[str, str]] = None
+    install_steps: List[str] = None
+    marker: Optional[str] = None
+    parallelism: Optional[int] = 1
+    pytest_num_workers: int = 8
+    pytest_options: Dict[str, Any] = None
+    resource_class: Optional[str] = "xlarge"
+    tests_to_run: Optional[List[str]] = None
+    working_directory: str = "~/transformers"
+
+    def __post_init__(self):
+        # Deal with defaults for mutable attributes.
+        if self.additional_env is None:
+            self.additional_env = {}
+        if self.cache_name is None:
+            self.cache_name = self.name
+        if self.docker_image is None:
+            # Let's avoid changing the default list and make a copy.
+            self.docker_image = copy.deepcopy(DEFAULT_DOCKER_IMAGE)
+        if self.install_steps is None:
+            self.install_steps = []
+        if self.pytest_options is None:
+            self.pytest_options = {}
+        if isinstance(self.tests_to_run, str):
+            self.tests_to_run = [self.tests_to_run]
+
+    def to_dict(self):
+        job = {
+            "working_directory": self.working_directory,
+            "docker": self.docker_image,
+            "environment": {**COMMON_ENV_VARIABLES, **self.additional_env},
+        }
+        if self.resource_class is not None:
+            job["resource_class"] = self.resource_class
+        if self.parallelism is not None:
+            job["parallelism"] = self.parallelism
+        steps = [
+            "checkout",
+            {"attach_workspace": {"at": "~/transformers/test_preparation"}},
+            {
+                "restore_cache": {
+                    "keys": [
+                        f"v{self.cache_version}-{self.cache_name}-" + '{{ checksum "setup.py" }}',
+                        f"v{self.cache_version}-{self.cache_name}-",
+                    ]
+                }
+            },
+        ]
+        steps.extend([{"run": l} for l in self.install_steps])
+        steps.append(
+            {
+                "save_cache": {
+                    "key": f"v{self.cache_version}-{self.cache_name}-" + '{{ checksum "setup.py" }}',
+                    "paths": ["~/.cache/pip"],
+                }
+            }
+        )
+
+        all_options = {**COMMON_PYTEST_OPTIONS, **self.pytest_options}
+        pytest_flags = [f"--{key}={value}" if value is not None else f"-{key}" for key, value in all_options.items()]
+        pytest_flags.append(
+            f"--make-reports={self.name}" if "examples" in self.name else f"--make-reports=tests_{self.name}"
+        )
+        test_command = f"python -m pytest -n {self.pytest_num_workers} " + " ".join(pytest_flags)
+        if self.tests_to_run is None:
+            test_command += " << pipeline.parameters.tests_to_run >>"
+        else:
+            test_command += " " + " ".join(self.tests_to_run)
+        if self.marker is not None:
+            test_command += f" -m {self.marker}"
+        test_command += " | tee tests_output.txt"
+        steps.append({"run": {"name": "Run tests", "command": test_command}})
+        steps.append({"store_artifacts": {"path": "~/transformers/tests_output.txt"}})
+        steps.append({"store_artifacts": {"path": "~/transformers/reports"}})
+        job["steps"] = steps
+        return job
+
+    @property
+    def job_name(self):
+        return self.name if "examples" in self.name else f"tests_{self.name}"
+
+
+# JOBS
+torch_and_tf_job = CircleCIJob(
+    "torch_and_tf",
+    additional_env={"RUN_PT_TF_CROSS_TESTS": True},
+    install_steps=[
+        "sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev espeak-ng git-lfs",
+        "git lfs install",
+        "pip install --upgrade pip",
+        "pip install .[sklearn,tf-cpu,torch,testing,sentencepiece,torch-speech,vision]",
+        TORCH_SCATTER_INSTALL,
+        "pip install tensorflow_probability",
+        "pip install https://github.com/kpu/kenlm/archive/master.zip",
+        "pip install git+https://github.com/huggingface/accelerate",
+    ],
+    marker="is_pt_tf_cross_test",
+    pytest_options={"rA": None, "durations": 0},
+)
+
+
+torch_and_flax_job = CircleCIJob(
+    "torch_and_flax",
+    additional_env={"RUN_PT_FLAX_CROSS_TESTS": True},
+    install_steps=[
+        "sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev espeak-ng",
+        "pip install --upgrade pip",
+        "pip install .[sklearn,flax,torch,testing,sentencepiece,torch-speech,vision]",
+        TORCH_SCATTER_INSTALL,
+        "pip install https://github.com/kpu/kenlm/archive/master.zip",
+        "pip install git+https://github.com/huggingface/accelerate",
+    ],
+    marker="is_pt_flax_cross_test",
+    pytest_options={"rA": None, "durations": 0},
+)
+
+
+torch_job = CircleCIJob(
+    "torch",
+    install_steps=[
+        "sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev espeak-ng time",
+        "pip install --upgrade pip",
+        "pip install .[sklearn,torch,testing,sentencepiece,torch-speech,vision,timm]",
+        TORCH_SCATTER_INSTALL,
+        "pip install https://github.com/kpu/kenlm/archive/master.zip",
+        "pip install git+https://github.com/huggingface/accelerate",
+    ],
+    pytest_num_workers=3,
+)
+
+
+tf_job = CircleCIJob(
+    "tf",
+    install_steps=[
+        "sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev espeak-ng",
+        "pip install --upgrade pip",
+        "pip install .[sklearn,tf-cpu,testing,sentencepiece,tf-speech,vision]",
+        "pip install tensorflow_probability",
+        "pip install https://github.com/kpu/kenlm/archive/master.zip",
+    ],
+    pytest_options={"rA": None},
+)
+
+
+flax_job = CircleCIJob(
+    "flax",
+    install_steps=[
+        "sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev espeak-ng",
+        "pip install --upgrade pip",
+        "pip install .[flax,testing,sentencepiece,flax-speech,vision]",
+        "pip install https://github.com/kpu/kenlm/archive/master.zip",
+    ],
+    pytest_options={"rA": None},
+)
+
+
+pipelines_torch_job = CircleCIJob(
+    "pipelines_torch",
+    install_steps=[
+        "sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev espeak-ng",
+        "pip install --upgrade pip",
+        "pip install .[sklearn,torch,testing,sentencepiece,torch-speech,vision,timm]",
+        TORCH_SCATTER_INSTALL,
+        "pip install https://github.com/kpu/kenlm/archive/master.zip",
+    ],
+    pytest_options={"rA": None},
+    tests_to_run="tests/pipelines/"
+)
+
+
+pipelines_tf_job = CircleCIJob(
+    "pipelines_tf",
+    install_steps=[
+        "pip install --upgrade pip",
+        "pip install .[sklearn,tf-cpu,testing,sentencepiece]",
+        "pip install tensorflow_probability",
+    ],
+    pytest_options={"rA": None},
+    tests_to_run="tests/pipelines/"
+)
+
+
+custom_tokenizers_job = CircleCIJob(
+    "custom_tokenizers",
+    additional_env={"RUN_CUSTOM_TOKENIZERS": True},
+    install_steps=[
+        "sudo apt-get -y update && sudo apt-get install -y cmake",
+        {
+            "name": "install jumanpp",
+            "command":
+                "wget https://github.com/ku-nlp/jumanpp/releases/download/v2.0.0-rc3/jumanpp-2.0.0-rc3.tar.xz\n"
+                "tar xvf jumanpp-2.0.0-rc3.tar.xz\n"
+                "mkdir jumanpp-2.0.0-rc3/bld\n"
+                "cd jumanpp-2.0.0-rc3/bld\n"
+                "sudo cmake .. -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr/local\n"
+                "sudo make install\n",
+        },
+        "pip install --upgrade pip",
+        "pip install .[ja,testing,sentencepiece,jieba,spacy,ftfy,rjieba]",
+        "python -m unidic download",
+    ],
+    parallelism=None,
+    resource_class=None,
+    tests_to_run=[
+        "./tests/models/bert_japanese/test_tokenization_bert_japanese.py",
+        "./tests/models/openai/test_tokenization_openai.py",
+        "./tests/models/clip/test_tokenization_clip.py",
+    ],
+)
+
+
+examples_torch_job = CircleCIJob(
+    "examples_torch",
+    cache_name="torch_examples",
+    install_steps=[
+        "sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev espeak-ng",
+        "pip install --upgrade pip",
+        "pip install .[sklearn,torch,sentencepiece,testing,torch-speech]",
+        "pip install -r examples/pytorch/_tests_requirements.txt",
+    ],
+    tests_to_run="./examples/pytorch/",
+)
+
+
+examples_tensorflow_job = CircleCIJob(
+    "examples_tensorflow",
+    cache_name="tensorflow_examples",
+    install_steps=[
+        "pip install --upgrade pip",
+        "pip install .[sklearn,tensorflow,sentencepiece,testing]",
+        "pip install -r examples/tensorflow/_tests_requirements.txt",
+    ],
+    tests_to_run="./examples/tensorflow/",
+)
+
+
+examples_flax_job = CircleCIJob(
+    "examples_flax",
+    cache_name="flax_examples",
+    install_steps=[
+        "pip install --upgrade pip",
+        "pip install .[flax,testing,sentencepiece]",
+        "pip install -r examples/flax/_tests_requirements.txt",
+    ],
+    tests_to_run="./examples/flax/",
+)
+
+
+hub_job = CircleCIJob(
+    "hub",
+    install_steps=[
+        "sudo apt-get -y update && sudo apt-get install git-lfs",
+        'git config --global user.email "ci@dummy.com"',
+        'git config --global user.name "ci"',
+        "pip install --upgrade pip",
+        "pip install .[torch,sentencepiece,testing]",
+    ],
+    marker="is_staging_test",
+    pytest_num_workers=1,
+)
+
+
+onnx_job = CircleCIJob(
+    "onnx",
+    install_steps=[
+        "pip install --upgrade pip",
+        "pip install .[torch,tf,testing,sentencepiece,onnxruntime,vision,rjieba]",
+    ],
+    pytest_options={"k onnx": None},
+    pytest_num_workers=1,
+)
+
+
+layoutlm_job = CircleCIJob(
+    "layoutlmv2_and_v3",
+    install_steps=[
+        "sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev",
+        "pip install --upgrade pip",
+        "pip install .[torch,testing,vision]",
+        "pip install torchvision",
+        "pip install 'git+https://github.com/facebookresearch/detectron2.git'",
+        "sudo apt install tesseract-ocr",
+        "pip install pytesseract",
+    ],
+    tests_to_run="tests/models/*layoutlmv*",
+    pytest_num_workers=1,
+    pytest_options={"durations": 100},
+)
+
+
+REGULAR_TESTS = [
+    torch_and_tf_job,
+    torch_and_flax_job,
+    torch_job,
+    tf_job,
+    flax_job,
+    custom_tokenizers_job,
+    hub_job,
+    onnx_job,
+    layoutlm_job,
+]
+EXAMPLES_TESTS = [
+    examples_torch_job,
+    examples_tensorflow_job,
+    examples_flax_job,
+]
+PIPELINE_TESTS = [
+    pipelines_torch_job,
+    pipelines_tf_job,
+]
+
+
+def create_circleci_config(folder=None):
+    if folder is None:
+        folder = os.getcwd()
+    jobs = []
+    all_test_file = os.path.join(folder, "test_list.txt")
+    if os.path.exists(all_test_file):
+        with open(all_test_file) as f:
+            all_test_list = f.read()
+    else:
+        all_test_list = []
+    if len(all_test_list) > 0:
+        jobs.extend(PIPELINE_TESTS)
+
+    test_file = os.path.join(folder, "filtered_test_list.txt")
+    if os.path.exists(test_file):
+        with open(test_file) as f:
+            test_list = f.read()
+    else:
+        test_list = []
+    if len(test_list) > 0:
+        jobs.extend(REGULAR_TESTS)
+
+    example_file = os.path.join(folder, "examples_test_list.txt")
+    if os.path.exists(example_file) and os.path.getsize(example_file) > 0:
+        jobs.extend(EXAMPLES_TESTS)
+
+    if len(jobs) > 0:
+        config = {"version": "2.1"}
+        config["parameters"] = {"tests_to_run": {"type": "string", "default": test_list}}
+        config["jobs"] = {j.job_name: j.to_dict() for j in jobs}
+        config["workflows"] = {"version": 2, "run_tests": {"jobs": [j.job_name for j in jobs]}}
+        with open(os.path.join(folder, "generated_config.yml"), "w") as f:
+            f.write(yaml.dump(config, indent=2, width=1000000, sort_keys=False))
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--fetcher_folder", type=str, default=None, help="Only test that all tests and modules are accounted for."
+    )
+    args = parser.parse_args()
+
+    create_circleci_config(args.fetcher_folder)