def test_zoo_no_exists(self):
with self.assertRaises(ImportError):
testing_utils.display_model(
{'model_file': 'zoo:unittests/fake', 'task': 'integration_tests',}
)
with self.assertRaises(ImportError):
testing_utils.display_model(
{'model_file': 'zoo:fakemodel', 'task': 'integration_tests'}
)
def test_legacy_version(self):
# simply tries to load and run some models with versioning attached
with self.assertRaises(RuntimeError):
testing_utils.display_model({
'model_file':
'models:convai2/seq2seq/convai2_self_seq2seq_model',
'task': 'convai2',
'no_cuda': True,
})
testing_utils.display_model({
'model': 'legacy:seq2seq:0',
'model_file': 'models:convai2/seq2seq/convai2_self_seq2seq_model',
'task': 'convai2',
'no_cuda': True,
})
def test_no_greedy_largebeam(self):
"""
Ensures that --beam-size > 1 and --inference greedy causes a failure.
"""
# we should have an exception if we mix beam size > 1 with inference greedy
with self.assertRaises(ValueError):
testing_utils.display_model(
dict(
task='integration_tests:multiturn_nocandidate',
model_file='zoo:unittest/transformer_generator2/model',
beam_size=5,
inference='greedy',
))
# and we shouldn't if we have inference beam
testing_utils.display_model(
dict(
task='integration_tests:multiturn_nocandidate',
model_file='zoo:unittest/transformer_generator2/model',
beam_size=5,
inference='beam',
))
