Update llama.py
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1 changed files with 2 additions and 2 deletions
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@ -1080,7 +1080,7 @@ class LlamaExtendedRotaryEmbedding(torch.nn.Module):
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)
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inv_freq = self.apply_scaling(inv_freq)
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self.register_buffer("inv_freq", inv_freq, persistent = False)
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print(__FILE__, __LINE__)
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print(__LINE__)
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# Build here to make `torch.jit.trace` work.
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self._set_cos_sin_cache(seq_len=self.current_rope_size, device=device, dtype=torch.get_default_dtype())
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@ -1090,7 +1090,7 @@ class LlamaExtendedRotaryEmbedding(torch.nn.Module):
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# Note: on the original Llama codebase, these tensors are created on the target device (and not on CPU) and
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# in FP32. They are applied (multiplied) in FP32 as well.
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self.current_rope_size = seq_len
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print(__FILE__, __LINE__)
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print(__LINE__)
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t = torch.arange(self.current_rope_size, device="cpu", dtype=torch.int64).float()
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