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[tests] Parameterized test_eager_matches_sdpa_inference (#36650)

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This commit is contained in:
Joao Gante
2025-03-14 14:41:27 +00:00
committed by GitHub
parent 9215cc62d4
commit 42ebb6c23e
16 changed files with 285 additions and 1900 deletions
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9
tests/models/albert/test_modeling_albert.py
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@@ -17,11 +17,10 @@
import unittest
from packaging import version
from parameterized import parameterized
from transformers import AlbertConfig, AutoTokenizer, is_torch_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_torch, require_torch_sdpa, slow, torch_device
from transformers.testing_utils import require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
@@ -289,12 +288,6 @@ class AlbertModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
self.model_tester = AlbertModelTester(self)
self.config_tester = ConfigTester(self, config_class=AlbertConfig, hidden_size=37)
@parameterized.expand([("float16",), ("bfloat16",), ("float32",)])
@require_torch_sdpa
@unittest.skip("Albert requires `head_mask` which is currently not done in this test.")
def test_eager_matches_sdpa_inference(self):
pass
def test_config(self):
self.config_tester.run_common_tests()