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Mark pytorch and chainer tests to be used for continuous testing. #290

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Jul 12, 2018
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1 change: 1 addition & 0 deletions tests/integ/test_chainer_train.py
Original file line number Diff line number Diff line change
Expand Up @@ -62,6 +62,7 @@ def test_training_with_additional_hyperparameters(sagemaker_session, chainer_ful
return chainer.latest_training_job.name


@pytest.mark.continuous_testing
def test_attach_deploy(chainer_training_job, sagemaker_session):
endpoint_name = 'test-chainer-attach-deploy-{}'.format(sagemaker_timestamp())

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1 change: 1 addition & 0 deletions tests/integ/test_pytorch_train.py
Original file line number Diff line number Diff line change
Expand Up @@ -37,6 +37,7 @@ def fixture_training_job(sagemaker_session, pytorch_full_version):
return pytorch.latest_training_job.name


@pytest.mark.continuous_testing
def test_sync_fit_deploy(pytorch_training_job, sagemaker_session):
# TODO: add tests against local mode when it's ready to be used
endpoint_name = 'test-pytorch-sync-fit-attach-deploy{}'.format(sagemaker_timestamp())
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