set actual device

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

Author: jiqing-feng

optimum/exporters/ipex/model_patcher.py

@@ -133,6 +133,7 @@ def _patch_vit_model(model):
 
 
 def _patch_model(model):
+    setattr(model.config, "device", model.device)
     if is_ipex_version("<", _IPEX_MINIMUM_VERSION_FOR_PATCHING):
         raise ImportError(f"Only ipex version >= {_IPEX_MINIMUM_VERSION_FOR_PATCHING} supports llama model patching")
     if is_transformers_version("<", _TRANSFORMERS_MIN_VERSION) or is_transformers_version(

optimum/exporters/ipex/modeling_utils.py

@@ -599,7 +599,7 @@ def __init__(self, module, config) -> None:
         super().__init__()
         _setattr_from_module(self, module)
         self.config = config
-        self.module_device = next(module.parameters()).device
+        self.module_device = config.device
         self.num_groups = self.num_heads // self.num_key_value_heads
         self.kv_head_mapping = torch.arange(
             0, self.num_key_value_heads, dtype=torch.int32, device=self.module_device
@@ -779,7 +779,7 @@ def __init__(self, module, config) -> None:
         super().__init__()
         _setattr_from_module(self, module)
         self.config = config
-        self.module_device = next(module.parameters()).device
+        self.module_device = config.device
         if getattr(config, "quantization_config", None) is None:
             if self.module_device.type == "cpu":
                 # LinearAllreduce and LinearLayer cannot use fused op LinearAdd
@@ -812,7 +812,7 @@ def __init__(self, module, config) -> None:
         super().__init__()
         _setattr_from_module(self, module)
         self.config = config
-        self.module_device = next(module.parameters()).device
+        self.module_device = config.device
         if getattr(config, "quantization_config", None) is None:
             # LinearAllreduce and LinearLayer cannot use fused op LinearAdd
             if self.module_device.type == "cpu":
@@ -911,7 +911,7 @@ class _IPEXIntermediate(nn.Module):
     def __init__(self, module, config):
         super().__init__()
         _setattr_from_module(self, module)
-        self.module_device = next(module.parameters()).device
+        self.module_device = config.device
         if getattr(config, "quantization_config", None) is None:
             if self.module_device.type == "cpu":
                 self.linear_gelu = LinearGelu(module.dense)