Update llama.py
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@ -980,6 +980,7 @@ def CausalLM_fast_forward(fast_forward_inference):
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elif num_logits_to_keep != 0:
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logits = self.lm_head(hidden_states[:, -num_logits_to_keep:, :].to(lm_head.dtype))
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else:
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print(HAS_CUT_CROSS_ENTROPY, labels)
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if HAS_CUT_CROSS_ENTROPY and labels is not None:
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n_items = kwargs.get("num_items_in_batch", None) or kwargs.get("n_items", None)
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loss = fused_linear_cross_entropy(
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