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[TF Hub][TF FE][GA] Establish regular validation for all TF Hub models (#19649)

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* [TF Hub][TF FE] Establish regular validation for all TF Hub models

Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>

* Correct names of reports

* Simplify configuration

---------

Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
This commit is contained in:
Roman Kazantsev 2023-09-06 19:02:59 +04:00 committed by GitHub
parent 023a2f462a
commit 4f7ac430fc
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GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 11 additions and 3 deletions
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10
.github/workflows/linux.yml vendored
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@ -1,5 +1,8 @@
name: Tests on Linux (Ubuntu 22.04, Python 3.11)
on:
schedule:
# - cron: '0 20/72 * * *'
- cron: '10 * * * *'
workflow_dispatch:
pull_request:
paths-ignore:
@ -674,8 +677,9 @@ jobs:
source ${{ env.INSTALL_DIR }}/setupvars.sh
python3 -m pytest ${{ env.MODEL_HUB_TESTS_INSTALL_DIR }}/tf_hub_tests/ -m precommit --junitxml=${{ env.INSTALL_TEST_DIR }}/TEST-tf_hub_tf_fe.xml
python3 -m pytest ${{ env.MODEL_HUB_TESTS_INSTALL_DIR }}/tf_hub_tests/ -m ${{ env.TYPE }} --junitxml=${{ env.INSTALL_TEST_DIR }}/TEST-tf_hub_tf_fe.xml --html TEST-tf_hub_tf_fe.html --self-contained-html
env:
TYPE: ${{ github.event_name == 'schedule' && 'nightly' || 'precommit'}}
TEST_DEVICE: CPU
- name: TensorFlow 1 Layer Tests - Legacy FE
@ -741,7 +745,9 @@ jobs:
if: ${{ always() }}
with:
name: test-results-python
path: ${{ env.INSTALL_TEST_DIR }}/TEST*.xml
path: |
${{ env.INSTALL_TEST_DIR }}/TEST*.html
${{ env.INSTALL_TEST_DIR }}/TEST*.xml
if-no-files-found: 'error'
CPU_Functional_Tests:

2
tests/model_hub_tests/tf_hub_tests/nightly_models_tmp Normal file
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@ -0,0 +1,2 @@
vision/embedder/fungi_V2,https://tfhub.dev/svampeatlas/vision/embedder/fungi_V2/1?tf-hub-format=compressed
universal-sentence-encoder,https://tfhub.dev/google/universal-sentence-encoder/4?tf-hub-format=compressed

2
tests/model_hub_tests/tf_hub_tests/test_tf_hub_convert_model.py
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@ -106,7 +106,7 @@ class TestTFHubConvertModel(TestConvertModel):
self.run(model_name, model_link, ie_device)
@pytest.mark.parametrize("model_name,model_link,mark,reason",
get_models_list(os.path.join(os.path.dirname(__file__), "nightly_models")))
get_models_list(os.path.join(os.path.dirname(__file__), "nightly_models_tmp")))
@pytest.mark.nightly
def test_convert_model_all_models(self, model_name, model_link, mark, reason, ie_device):
assert mark is None or mark == 'skip', "Incorrect test case: {}, {}".format(model_name, model_link)