LLM: support tensor input of native int4 generate (#8620)

python/llm/src/bigdl/llm/ggml/model/generation/utils.py

@@ -22,6 +22,7 @@
 
 from typing import Optional, Union, Sequence, List
 from bigdl.llm.utils.common import invalidInputError
+import torch
 
 
 class GenerationMixin:
@@ -100,8 +101,9 @@ class GenerationMixin:
 
     def generate(
         self,
-        inputs: Union[Optional[Sequence[int]],
-                      Sequence[Sequence[int]]]=None,
+        inputs: Optional[Union[Sequence[int],
+                         Sequence[Sequence[int]],
+                         torch.Tensor]]=None,
         max_new_tokens: int = 128,
         top_k: int = 40,
         top_p: float = 0.95,
@@ -116,9 +118,9 @@ class GenerationMixin:
         mirostat_eta: float = 0.1,
         stop: Optional[Union[str, List[str]]]=[],  # TODO: rebase to support stopping_criteria
         **kwargs,
-    ) -> Union[Optional[Sequence[int]],
-               Sequence[Sequence[int]],
-               None]:
+    ) -> Optional[Union[Sequence[int],
+                  Sequence[Sequence[int]],
+                  None]]:
         # TODO: modify docs
         """Create a generator of tokens from a prompt.
 
@@ -140,6 +142,8 @@ class GenerationMixin:
         Yields:
             The generated tokens.
         """
+        if isinstance(inputs, torch.Tensor):
+            inputs = inputs.tolist()
         if inputs and len(inputs) > 0:
             if not isinstance(inputs[0], Sequence):
                 inputs = [inputs]