[CI] [GHA] Introduce ONNX Models Tests job in Linux workflow (#21581)
* add onnx models test job * rm sudo * add missing update * add missing git-lfs * add missing package * correct var * correct command * try with pytest * provide path to models * use mounted path * add msft models * use symlinks * correct name for model * use -h * create and use directory for models * use share as source for models * fix test names, use fresh onnx repo * return names * fix test names * change folder structure for onnx model downloading * skip tests; clean up logs; adapt azure counterpart * make skip names lowercase * increase parallel * add missing git-lfs * fix dir * install git-lfs properly * use sudo * use 12 parallels; rm -f * use skip * rm unnecessary requirements * rm pytorch from installing * disable test
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@ -87,7 +87,7 @@ jobs:
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sudo apt --assume-yes update && sudo apt --assume-yes install nfs-common
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sudo apt install nfs-common -y
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sudo mount -vvv -t nfs cinfsshare.file.core.windows.net:/cinfsshare/onnxtestdata $(MODELS_DIR) -o vers=4,minorversion=1,sec=sys
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mkdir -p $(MODELS_DIR)/models_data
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mkdir -p $(MODELS_DIR)
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displayName: 'Make dirs'
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- checkout: self
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@ -97,13 +97,15 @@ jobs:
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- script: |
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set -e
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apt-get update && apt-get install -y lsb-release && apt-get clean all
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sudo apt-get update && sudo apt-get install -y lsb-release git git-lfs
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git-lfs install
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sudo apt-get clean all
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curl -fsSL https://get.docker.com -o get-docker.sh
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sudo sh get-docker.sh
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displayName: 'Install dependencies'
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- script:
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src/frontends/onnx/tests/tests_python/model_zoo_preprocess.sh -d $(MODELS_DIR)/models_data -o -s "$(ONNX_MODEL_ZOO_SHA)"
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src/frontends/onnx/tests/tests_python/model_zoo_preprocess.sh -d $(MODELS_DIR) -o -s "$(ONNX_MODEL_ZOO_SHA)"
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displayName: 'Update models'
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condition: ne(variables['BUILD_TYPE'], 'Debug')
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@ -120,7 +122,7 @@ jobs:
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- script: |
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sudo docker run \
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--name openvino-onnx-ci-container \
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--volume $(MODELS_DIR)/models_data/model_zoo/onnx_model_zoo_$(ONNX_MODEL_ZOO_SHA):/root/.onnx/model_zoo/onnx_model_zoo \
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--volume $(MODELS_DIR)/onnx_model_zoo:/root/.onnx/model_zoo/onnx_model_zoo \
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--volume $(MODELS_DIR)/msft:/root/.onnx/model_zoo/MSFT openvino-onnx-ci-image \
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/bin/bash -c "$(TOX_COMMAND)"
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displayName: 'Docker run $(BUILD_TYPE)'
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106
.github/workflows/job_onnx_models_tests.yml
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106
.github/workflows/job_onnx_models_tests.yml
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@ -0,0 +1,106 @@
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name: ONNX Models tests
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on:
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workflow_call:
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inputs:
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runner:
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description: 'Machine on which the tests would run'
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type: string
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required: true
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container:
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description: 'JSON to be converted to the value of the "container" configuration for the job'
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type: string
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required: false
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default: '{"image": null}'
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jobs:
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ONNX_Models_tests:
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name: ONNX Models tests
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timeout-minutes: 60
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runs-on: ${{ inputs.runner }}
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container: ${{ fromJSON(inputs.container) }}
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defaults:
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run:
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shell: bash
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env:
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DEBIAN_FRONTEND: noninteractive # to prevent apt-get from waiting user input
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OPENVINO_REPO: ${{ github.workspace }}/openvino
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INSTALL_DIR: ${{ github.workspace }}/install
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INSTALL_TEST_DIR: ${{ github.workspace }}/install/tests
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ONNX_MODELS_PATH: ${{ github.workspace }}/onnx_test_models
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MODELS_SHARE_PATH: "/mount/onnxtestdata"
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ONNX_MODEL_ZOO_SHA: "d58213534f2a4d1c4b19ba62b3bb5f544353256e"
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steps:
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- name: Download OpenVINO package
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uses: actions/download-artifact@v3
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with:
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name: openvino_package
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path: ${{ env.INSTALL_DIR }}
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- name: Download OpenVINO tests package
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uses: actions/download-artifact@v3
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with:
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name: openvino_tests
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path: ${{ env.INSTALL_TEST_DIR }}
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# Needed as ${{ github.workspace }} is not working correctly when using Docker
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- name: Setup Variables
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run: |
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echo "OPENVINO_REPO=$GITHUB_WORKSPACE/openvino" >> "$GITHUB_ENV"
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echo "INSTALL_DIR=$GITHUB_WORKSPACE/install" >> "$GITHUB_ENV"
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echo "INSTALL_TEST_DIR=$GITHUB_WORKSPACE/install/tests" >> "$GITHUB_ENV"
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- name: Extract OpenVINO packages
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run: |
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pushd ${INSTALL_DIR}
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tar -xzf openvino_package.tar.gz -C ${INSTALL_DIR}
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popd
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pushd ${INSTALL_TEST_DIR}
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tar -xzf openvino_tests.tar.gz -C ${INSTALL_DIR}
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popd
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- name: Fetch setup_python action and model_zoo_preprocess script
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uses: actions/checkout@v4
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with:
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sparse-checkout: |
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.github/actions/setup_python/action.yml
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src/frontends/onnx/tests/tests_python/model_zoo_preprocess.sh
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sparse-checkout-cone-mode: false
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path: 'openvino'
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- name: Install dependencies
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run: |
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# install git (required to build pip deps from the sources)
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apt-get update && apt-get install --assume-yes --no-install-recommends git ca-certificates git-lfs
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- name: Setup Python 3.11
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uses: ./openvino/.github/actions/setup_python
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with:
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version: '3.11'
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should-setup-pip-paths: 'false'
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self-hosted-runner: ${{ contains(inputs.runner, 'aks') }}
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- name: Update Models
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run: bash ${OPENVINO_REPO}/src/frontends/onnx/tests/tests_python/model_zoo_preprocess.sh -d ${MODELS_SHARE_PATH} -o -s "${{ env.ONNX_MODEL_ZOO_SHA }}"
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- name: Install OpenVINO Python wheels
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run: |
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# Install the core OV wheel
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python3 -m pip install ${INSTALL_DIR}/tools/openvino-*.whl
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extras_to_install="onnx"
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# Find and install OV dev wheel
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pushd ${INSTALL_DIR}/tools
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ov_dev_wheel_name=$(find . -name 'openvino_dev*.whl')
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python3 -m pip install $ov_dev_wheel_name[$extras_to_install]
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popd
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- name: Install Python tests dependencies
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run: |
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# To enable pytest parallel features
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python3 -m pip install pytest-xdist[psutil] pytest-forked
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- name: ONNX Models Tests
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run: python3 -m pytest --backend="CPU" --model_zoo_dir="${MODELS_SHARE_PATH}" ${INSTALL_TEST_DIR}/onnx/tests/tests_python/test_zoo_models.py -v -n 12 --forked -k 'not _cuda' --model_zoo_xfail
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10
.github/workflows/linux.yml
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.github/workflows/linux.yml
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@ -388,6 +388,16 @@ jobs:
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container: '{"image": "openvinogithubactions.azurecr.io/dockerhub/ubuntu:20.04", "volumes": ["/mount:/mount"], "options": "-e SCCACHE_AZURE_BLOB_CONTAINER -e SCCACHE_AZURE_CONNECTION_STRING"}'
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sccache-azure-key-prefix: 'ubuntu20_x86_64_onnxruntime'
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ONNX_Models:
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name: ONNX Models Tests
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if: fromJSON(needs.smart_ci.outputs.affected_components).Python_API.test ||
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fromJSON(needs.smart_ci.outputs.affected_components).ONNX_FE.test
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needs: [ Build, Smart_CI ]
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uses: ./.github/workflows/job_onnx_models_tests.yml
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with:
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runner: 'aks-linux-16-cores-32gb'
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container: '{"image": "openvinogithubactions.azurecr.io/dockerhub/ubuntu:20.04", "volumes": ["/mount:/mount"]}'
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CXX_Unit_Tests:
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name: C++ unit tests
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needs: [ Build, Smart_CI ]
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@ -168,3 +168,7 @@ xfail_issue_122776 = xfail_test(reason="test_mish_expanded_cpu - "
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"Not equal to tolerance")
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xfail_issue_122775 = xfail_test(reason="test_resize_downsample_scales_linear_cpu - "
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"Not equal to tolerance")
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skip_issue_127649 = pytest.mark.skip(reason="Not equal to tolerance rtol=0.001, atol=1e-07 - "
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"Mismatched elements: 1 / 1000 (0.1%)")
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@ -1108,7 +1108,12 @@ OPENVINO_TEST(${BACKEND_NAME}, onnx_model_nonmaxsuppression_v9_single_box) {
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test_case.run();
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}
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#if (defined _WIN32 || defined _WIN64)
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// Ticket: 127743
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OPENVINO_TEST(${BACKEND_NAME}, DISABLED_onnx_model_nonmaxsuppression_default_score_threshold) {
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#else
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OPENVINO_TEST(${BACKEND_NAME}, onnx_model_nonmaxsuppression_default_score_threshold) {
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#endif
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auto function = onnx_import::import_onnx_model(file_util::path_join(ov::test::utils::getExecutableDirectory(),
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SERIALIZED_ZOO,
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"onnx/nms_default_score_threshold.onnx"));
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@ -56,8 +56,8 @@ while getopts "homfd:s:" opt; do
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done
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shift $((OPTIND -1))
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MODEL_ZOO_DIR="$MODELS_DIR/model_zoo"
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ONNX_MODELS_DIR="$MODEL_ZOO_DIR/onnx_model_zoo_$ONNX_SHA"
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MODEL_ZOO_DIR="$MODELS_DIR"
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ONNX_MODELS_DIR="$MODEL_ZOO_DIR/onnx_model_zoo"
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MSFT_MODELS_DIR="$MODEL_ZOO_DIR/MSFT"
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function pull_and_postprocess_onnx_model_zoo() {
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@ -22,7 +22,8 @@ from tests import (
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xfail_issue_58676,
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xfail_issue_78843,
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xfail_issue_86911,
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xfail_issue_onnx_models_140)
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xfail_issue_onnx_models_140,
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skip_issue_127649)
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MODELS_ROOT_DIR = tests.MODEL_ZOO_DIR
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@ -162,7 +163,7 @@ if len(zoo_models) > 0:
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(xfail_issue_38701, "test_onnx_model_zoo_text_machine_comprehension_bidirectional_attention_flow_model_bidaf_9_bidaf_bidaf_cpu"),
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# Model MSFT
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(xfail_issue_37957, "test_MSFT_opset10_mask_rcnn_keras_mask_rcnn_keras_cpu"),
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(xfail_issue_37957, "test_msft_opset10_mask_rcnn_keras_mask_rcnn_keras_cpu"),
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]
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for test_case in import_xfail_list:
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xfail, test_name = test_case
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@ -178,24 +179,26 @@ if len(zoo_models) > 0:
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(xfail_issue_39669, "test_onnx_model_zoo_text_machine_comprehension_t5_model_t5_decoder_with_lm_head_12_t5_decoder_with_lm_head_cpu"),
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(xfail_issue_48145, "test_onnx_model_zoo_text_machine_comprehension_bert_squad_model_bertsquad_8_download_sample_8_bertsquad8_cpu"),
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(xfail_issue_48190, "test_onnx_model_zoo_text_machine_comprehension_roberta_model_roberta_base_11_roberta_base_11_roberta_base_11_cpu"),
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(xfail_issue_onnx_models_140, "test_onnx_model_zoo_vision_object_detection_segmentation_duc_model_ResNet101_DUC_7_ResNet101_DUC_HDC_ResNet101_DUC_HDC_cpu"),
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(xfail_issue_onnx_models_140, "test_onnx_model_zoo_vision_object_detection_segmentation_duc_model_resnet101_duc_7_resnet101_duc_hdc_resnet101_duc_hdc_cpu"),
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(xfail_issue_78843, "test_onnx_model_zoo_vision_object_detection_segmentation_ssd_mobilenetv1_model_ssd_mobilenet_v1_10_ssd_mobilenet_v1_ssd_mobilenet_v1_cpu"),
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(skip_issue_127649, "test_onnx_model_zoo_vision_classification_resnet_model_resnet50_v1_7_resnet50v1_resnet50_v1_7_cpu"),
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(skip_issue_127649, "test_onnx_model_zoo_vision_super_resolution_sub_pixel_cnn_2016_model_super_resolution_10_super_resolution_super_resolution_cpu"),
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# Model MSFT
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(xfail_issue_37973, "test_MSFT_opset7_tf_inception_v2_model_cpu"),
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(xfail_issue_37973, "test_MSFT_opset8_tf_inception_v2_model_cpu"),
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(xfail_issue_37973, "test_MSFT_opset9_tf_inception_v2_model_cpu"),
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(xfail_issue_37973, "test_MSFT_opset11_tf_inception_v2_model_cpu"),
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(xfail_issue_37973, "test_MSFT_opset10_tf_inception_v2_model_cpu"),
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(xfail_issue_37973, "test_msft_opset7_tf_inception_v2_model_cpu"),
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(xfail_issue_37973, "test_msft_opset8_tf_inception_v2_model_cpu"),
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(xfail_issue_37973, "test_msft_opset9_tf_inception_v2_model_cpu"),
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(xfail_issue_37973, "test_msft_opset11_tf_inception_v2_model_cpu"),
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(xfail_issue_37973, "test_msft_opset10_tf_inception_v2_model_cpu"),
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(xfail_issue_58676, "test_MSFT_opset7_fp16_tiny_yolov2_onnxzoo_winmlperf_tiny_yolov2_cpu"),
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(xfail_issue_58676, "test_MSFT_opset8_fp16_tiny_yolov2_onnxzoo_winmlperf_tiny_yolov2_cpu"),
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(xfail_issue_58676, "test_msft_opset7_fp16_tiny_yolov2_onnxzoo_winmlperf_tiny_yolov2_cpu"),
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(xfail_issue_58676, "test_msft_opset8_fp16_tiny_yolov2_onnxzoo_winmlperf_tiny_yolov2_cpu"),
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(xfail_issue_39669, "test_MSFT_opset9_cgan_cgan_cpu"),
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(xfail_issue_47495, "test_MSFT_opset10_BERT_Squad_bertsquad10_cpu"),
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(xfail_issue_78843, "test_MSFT_opset10_mlperf_ssd_mobilenet_300_ssd_mobilenet_v1_coco_2018_01_28_cpu"),
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(xfail_issue_39669, "test_msft_opset9_cgan_cgan_cpu"),
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(xfail_issue_47495, "test_msft_opset10_bert_squad_bertsquad10_cpu"),
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(xfail_issue_78843, "test_msft_opset10_mlperf_ssd_mobilenet_300_ssd_mobilenet_v1_coco_2018_01_28_cpu"),
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(xfail_issue_86911, "test_MSFT_opset9_LSTM_Seq_lens_unpacked_model_cpu"),
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(xfail_issue_86911, "test_msft_opset9_lstm_seq_lens_unpacked_model_cpu"),
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]
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for test_case in import_xfail_list + execution_xfail_list:
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@ -59,6 +59,8 @@ class ModelImportRunner(onnx.backend.test.BackendTest):
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else:
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test_name = test_name.replace(string, "_")
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test_name = test_name.lower()
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test_case = ExtOnnxTestCase(
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name=test_name,
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url=None,
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