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[Tests] Fix opt integration test #17301

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merged 1 commit into from
May 17, 2022
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[Tests] Fix opt integration test #17301

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correct opt
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@patrickvonplaten
patrickvonplaten committed May 17, 2022
commit 6a4be795049a4e0cbd9c4d77a48a6c6fe786667b
10 changes: 3 additions & 7 deletions tests/models/opt/test_modeling_opt.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@
import timeout_decorator # noqa

from transformers import OPTConfig, is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from transformers.testing_utils import require_torch, slow, torch_device

from ...generation.test_generation_utils import GenerationTesterMixin
from ...test_configuration_common import ConfigTester
Expand Down Expand Up @@ -266,25 +266,21 @@ def _long_tensor(tok_lst):


@require_torch
@require_sentencepiece
@require_tokenizers
class OPTModelIntegrationTests(unittest.TestCase):
@slow
def test_inference_no_head(self):
model = OPTModel.from_pretrained("facebook/opt-350m").to(torch_device)
input_ids = _long_tensor([[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]])
attention_mask = input_ids.ne(model.config.pad_token_id)
with torch.no_grad():
output = model(input_ids=input_ids, attention_mask=attention_mask).last_hidden_state
output = model(input_ids=input_ids).last_hidden_state
expected_shape = torch.Size((1, 11, 512))
self.assertEqual(output.shape, expected_shape)
expected_slice = torch.tensor(
[[-0.2873, -1.9218, -0.3033], [-1.2710, -0.1338, -0.1902], [0.4095, 0.1214, -1.3121]], device=torch_device
[[-0.2867, -1.9256, -0.3062], [-1.2711, -0.1337, -0.1897], [0.4109, 0.1187, -1.3142]], device=torch_device
)
self.assertTrue(torch.allclose(output[:, :3, :3], expected_slice, atol=1e-3))


@require_tokenizers
@require_torch
@slow
class OPTEmbeddingsTest(unittest.TestCase):
Expand Down