catch prepack error and fallback tor torch bf16 (#1526)

Co-authored-by: VincyZhang <wenxin.zhang@intel.com>

Author: Spycsh

intel_extension_for_transformers/neural_chat/models/model_utils.py

@@ -839,13 +839,27 @@ def load_model(
                     import intel_extension_for_pytorch as intel_ipex
 
                     if not use_tpp:
-                        model = intel_ipex.optimize(
-                            model.eval(),
-                            dtype=torch_dtype,
-                            inplace=True,
-                            level="O1",
-                            auto_kernel_selection=True,
-                        )
+                        try:
+                            model = intel_ipex.optimize(
+                                model.eval(),
+                                dtype=torch_dtype,
+                                inplace=True,
+                                level="O1",
+                                auto_kernel_selection=True,
+                            )
+                        except AssertionError:
+                            model = intel_ipex.optimize(
+                                model.eval(),
+                                dtype=torch_dtype,
+                                inplace=True,
+                                level="O1",
+                                auto_kernel_selection=True,
+                                weights_prepack=False,
+                            )
+                        except Exception as e:
+                            logging.info(f"IPEX optimize failure! Skip IPEX.")
+                            model = model.eval()
+
                 if cpu_jit and (re.search("mpt-7b", model_name, re.IGNORECASE)
                                 or re.search("neural-chat-7b-v1", model_name, re.IGNORECASE)):
                     from intel_extension_for_transformers.transformers.llm.utils.mpt_trace import \

intel_extension_for_transformers/neural_chat/pipeline/plugins/retrieval/retrieval_agent.py

@@ -154,8 +154,15 @@ def __init__(self,
             import torch
             import intel_extension_for_pytorch as ipex
             if precision == "bf16" and CpuInfo().bf16:
-                self.embeddings.client = ipex.optimize(
-                    self.embeddings.client.eval(), dtype=torch.bfloat16, inplace=True)
+                try:
+                    self.embeddings.client = ipex.optimize(
+                        self.embeddings.client.eval(), dtype=torch.bfloat16, inplace=True)
+                except AssertionError:
+                    self.embeddings.client = ipex.optimize(
+                        self.embeddings.client.eval(), dtype=torch.bfloat16, inplace=True, weights_prepack=False)
+                except Exception as e:
+                    logging.info(f"IPEX optimize failure! Skip IPEX.")
+                    self.embeddings.client = self.embeddings.client.eval()
             elif precision == "fp32":
                 self.embeddings.client = ipex.optimize(
                     self.embeddings.client.eval(), dtype=torch.float32, inplace=True)