Mark pytorch and chainer tests to be used for continuous integration. (#290)

Author: nadiaya

tests/integ/test_chainer_train.py

@@ -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())
 

tests/integ/test_pytorch_train.py

@@ -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())