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Commit d788fb4

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Only concatenate after all batches are done
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‎llama_cpp/llama.py

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+3-3Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -405,6 +405,7 @@ def eval(self, tokens: Sequence[int]):
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"""
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assert self.ctx is not None
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n_ctx = self._n_ctx
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scores = []
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for i in range(0, len(tokens), self.n_batch):
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batch = tokens[i : min(len(tokens), i + self.n_batch)]
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n_past = min(n_ctx - len(batch), len(self._input_ids))
@@ -430,9 +431,8 @@ def eval(self, tokens: Sequence[int]):
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logits_view = llama_cpp.llama_get_logits(self.ctx)
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logits = [logits_view[i * cols : (i + 1) * cols] for i in range(rows)]
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self.eval_logits.extend(logits)
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self._scores: npt.NDArray[np.single] = np.concatenate(
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(self._scores, np.array(logits, dtype=np.single)), axis=0
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)
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scores.append(np.array(logits, dtype=np.single))
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self._scores = np.concatenate(scores)
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def _sample(
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self,

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