Update gemma.py
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@ -92,7 +92,7 @@ class FastGemmaRotaryEmbedding(torch.nn.Module):
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position_ids = torch.arange(self.max_position_embeddings, device=x.device, dtype=torch.int64).unsqueeze(0)
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inv_freq_expanded = self.inv_freq[None, :, None].float().expand(1, -1, 1)
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position_ids_expanded = position_ids[:, None, :].float()
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with torch.autocast(enabled = False):
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with torch.autocast(device_type="cuda", enabled = False):
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freqs = (inv_freq_expanded @ position_ids_expanded).transpose(1, 2)
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emb = torch.cat((freqs, freqs), dim=-1)
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self.cos_cached = emb.cos().to(dtype=x.dtype)
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