Update llama.py
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@ -812,7 +812,7 @@ class LlamaRotaryEmbedding(torch.nn.Module):
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inv_freq = 1.0 / (
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self.base ** (torch.arange(0, self.dim, 2, dtype=torch.int64, device="cpu").float() / self.dim)
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)
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position_ids = torch.arange(self.max_seq_len_cached, device="cpu", dtype=torch.int64).unsqueeze()#.float()
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position_ids = torch.arange(self.max_seq_len_cached, device="cpu", dtype=torch.int64).unsqueeze(-1)#.float()
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inv_freq_expanded = inv_freq[None, :, None].float().expand(position_ids.shape[0], -1, 1)
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position_ids_expanded = position_ids[:, None, :].float()
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freqs = (inv_freq_expanded @ position_ids_expanded).transpose(1, 2)
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