fix import

modeling_residualnet.py

@@ -10,24 +10,24 @@ from transformers.modeling_attn_mask_utils import _prepare_4d_causal_attention_m
 from transformers.modeling_outputs import CausalLMOutputWithPast
 from transformers.generation.utils import GenerationMixin
 
-# from transformers.models.phi3.configuration_phi3 import Phi3Config
-# from transformers.models.phi3.modeling_phi3 import (
-#     Phi3PreTrainedModel,
-#     Phi3RotaryEmbedding,
-#     Phi3RMSNorm,
-#     Phi3Attention,
-#     # Phi3SdpaAttention,   # 既定の SDPA 注意
-#     Phi3MLP,
-# )
-from models.phi3_config import Phi3Config
-from models.phi3 import (
-    Phi3PreTrainedModel,
-    Phi3RMSNorm,
-    Phi3MLP,
-    # Phi3SdpaAttention,
-    Phi3Attention,
-    Phi3RotaryEmbedding,
+from transformers.models.phi3.configuration_phi3 import Phi3Config
+from transformers.models.phi3.modeling_phi3 import (
+     Phi3PreTrainedModel,
+     Phi3RotaryEmbedding,
+     Phi3RMSNorm,
+     Phi3Attention,
+     # Phi3SdpaAttention,   # 既定の SDPA 注意
+     Phi3MLP,
 )
+#from models.phi3_config import Phi3Config
+#from models.phi3 import (
+#    Phi3PreTrainedModel,
+#    Phi3RMSNorm,
+#    Phi3MLP,
+#    # Phi3SdpaAttention,
+#    Phi3Attention,
+#    Phi3RotaryEmbedding,
+#)
 
 class ResidualNetConfig(Phi3Config):
     model_type = "ResidualNetConfig"