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Fix 29807 sinusoidal positional encodings in Flaubert, Informer and XLM (#29904)

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* Fix sinusoidal_embeddings in FlaubertModel

* Fix for Informer

* Fix for XLM

* Move sinusoidal emb for XLM

* Move sinusoidal emb for Flaubert

* Small cleanup

* Add comments on tests code copied from

* Add with Distilbert->
This commit is contained in:
Hovnatan Karapetyan
2024-04-02 12:27:26 +04:00
committed by GitHub
parent 83b26dd79d
commit 416711c3ea
6 changed files with 40 additions and 8 deletions
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9
tests/models/xlm/test_modeling_xlm.py
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@@ -36,6 +36,7 @@ if is_torch_available():
XLMModel,
XLMWithLMHeadModel,
)
from transformers.models.xlm.modeling_xlm import create_sinusoidal_embeddings
class XLMModelTester:
@@ -432,6 +433,14 @@ class XLMModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin,
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_xlm_model(*config_and_inputs)
# Copied from tests/models/distilbert/test_modeling_distilbert.py with Distilbert->XLM
def test_xlm_model_with_sinusoidal_encodings(self):
config = XLMConfig(sinusoidal_embeddings=True)
model = XLMModel(config=config)
sinusoidal_pos_embds = torch.empty((config.max_position_embeddings, config.emb_dim), dtype=torch.float32)
create_sinusoidal_embeddings(config.max_position_embeddings, config.emb_dim, sinusoidal_pos_embds)
self.model_tester.parent.assertTrue(torch.equal(model.position_embeddings.weight, sinusoidal_pos_embds))
def test_xlm_lm_head(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_xlm_lm_head(*config_and_inputs)