Update llama_cpp_python_hijack.py, fix llamacpp_hf

modules/llama_cpp_python_hijack.py

@@ -2,12 +2,12 @@ import importlib
 import platform
 from typing import Sequence
 
+import numpy as np
 from tqdm import tqdm
 
 from modules import shared
 from modules.cache_utils import process_llamacpp_cache
 
-
 imported_module = None
 
 
@@ -57,8 +57,6 @@ def eval_with_progress(self, tokens: Sequence[int]):
 
     with tqdm to show prompt processing progress.
     """
-    assert self._ctx.ctx is not None
-    assert self._batch.batch is not None
     self._ctx.kv_cache_seq_rm(-1, self.n_tokens, -1)
 
     if len(tokens) > self.n_batch:
@@ -80,13 +78,20 @@ def eval_with_progress(self, tokens: Sequence[int]):
         if self.context_params.logits_all:
             rows = n_tokens
             cols = self._n_vocab
-            logits = self._ctx.get_logits()[: rows * cols]
-            self.scores[n_past : n_past + n_tokens, :].reshape(-1)[: :] = logits
+            logits = np.ctypeslib.as_array(
+                self._ctx.get_logits(), shape=(rows * cols,)
+            )
+            self.scores[n_past : n_past + n_tokens, :].reshape(-1)[::] = logits
+            self.last_updated_index = n_past + n_tokens - 1
         else:
             rows = 1
             cols = self._n_vocab
-            logits = self._ctx.get_logits()[: rows * cols]
-            self.scores[n_past + n_tokens - 1, :].reshape(-1)[: :] = logits
+            logits = np.ctypeslib.as_array(
+                self._ctx.get_logits(), shape=(rows * cols,)
+            )
+            last_token_index = min(n_past + n_tokens - 1, self.scores.shape[0] - 1)
+            self.scores[last_token_index, :] = logits.reshape(-1)
+            self.last_updated_index = last_token_index
         # Update n_tokens
         self.n_tokens += n_tokens