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Tests: upcast logits to float() (#34042)

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upcast
This commit is contained in:
Joao Gante
2024-10-11 11:51:49 +01:00
committed by GitHub
parent 4b9bfd32f0
commit e878eaa9fc
11 changed files with 35 additions and 19 deletions
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tests/models/olmoe/test_modeling_olmoe.py
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@@ -375,7 +375,7 @@ class OlmoeIntegrationTest(unittest.TestCase):
def test_model_7b_logits(self):
input_ids = [[1, 306, 4658, 278, 6593, 310, 2834, 338]]
model = OlmoeForCausalLM.from_pretrained("allenai/OLMoE-1B-7B-0924", device_map="auto")
out = model(torch.tensor(input_ids)).logits
out = model(torch.tensor(input_ids)).logits.float()
# Expected mean on dim = -1
EXPECTED_MEAN = torch.tensor([[-1.3814, -3.4450, -2.2990, -1.9542, -2.4387, -2.7941, -2.9312, -2.8309]])
torch.testing.assert_close(out.mean(-1), EXPECTED_MEAN, atol=1e-2, rtol=1e-2)