[Community] Update optimization logic regarding device for llama-index-embeddings-ipex-llm

llama-index-integrations/embeddings/llama-index-embeddings-ipex-llm/llama_index/embeddings/ipex_llm/base.py

@@ -11,7 +11,7 @@
 )
 from llama_index.core.bridge.pydantic import Field, PrivateAttr
 from llama_index.core.callbacks import CallbackManager
-from llama_index.core.utils import get_cache_dir, infer_torch_device
+from llama_index.core.utils import get_cache_dir
 from llama_index.embeddings.ipex_llm.utils import (
     DEFAULT_HUGGINGFACE_EMBEDDING_MODEL,
     BGE_MODELS,
@@ -57,7 +57,15 @@ def __init__(
         callback_manager: Optional[CallbackManager] = None,
         **model_kwargs,
     ):
-        self._device = device or infer_torch_device()
+        # Set "cpu" as default device
+        self._device = device or "cpu"
+
+        if self._device not in ["cpu", "xpu"]:
+            logger.warning(
+                "IpexLLMEmbedding currently only supports device to be 'cpu' or 'xpu', "
+                f"but you have: {self._device}; Use 'cpu' instead."
+            )
+            self._device = "cpu"
 
         cache_folder = cache_folder or get_cache_dir()
 
@@ -84,13 +92,11 @@ def __init__(
             **model_kwargs,
         )
 
-        if self._device == "cpu":
-            self._model = _optimize_pre(self._model)
-            self._model = _optimize_post(self._model)
-        # TODO: optimize using ipex-llm optimize_model
-        elif self._device == "xpu":
-            self._model = _optimize_pre(self._model)
-            self._model = _optimize_post(self._model)
+        # Apply ipex-llm optimizations
+        self._model = _optimize_pre(self._model)
+        self._model = _optimize_post(self._model)
+        if self._device == "xpu":
+            # TODO: apply `ipex_llm.optimize_model`
             self._model = self._model.half().to(self._device)
 
         if max_length:

llama-index-integrations/embeddings/llama-index-embeddings-ipex-llm/pyproject.toml

@@ -30,7 +30,7 @@ license = "MIT"
 name = "llama-index-embeddings-ipex-llm"
 packages = [{include = "llama_index/"}]
 readme = "README.md"
-version = "0.1.1"
+version = "0.1.2"
 
 [tool.poetry.dependencies]
 python = ">=3.9,<4.0"