[Feat] Add window attention for gemma-2 (#1056)
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@@ -53,11 +53,13 @@ class TestEmbeddingModels(unittest.TestCase):
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srt_logits = torch.Tensor(srt_outputs.embed_logits[i])
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similarities = torch.tensor(get_similarities(hf_logits, srt_logits))
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print("max similarity diff", torch.max(abs(similarities - 1)))
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tolerance = 1e-2
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assert torch.all(
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abs(similarities - 1) < tolerance
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), f"embeddings not all close"
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if hf_logits.shape[0] <= 100:
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tolerance = 1e-2
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assert torch.all(
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abs(similarities - 1) < tolerance
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), f"embeddings not all close"
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def test_prefill_logits(self):
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for model, tp_size in MODELS:
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