rewrite minicpmv optimization (#11816)

python/llm/src/ipex_llm/transformers/convert.py

@@ -747,13 +747,16 @@ def _optimize_pre(model, qtype=None):
     if model.config.model_type == "llama":
         from ipex_llm.transformers.models.llama import merge_qkv
         model.apply(merge_qkv)
+    if model.config.model_type == "minicpm":
+        from ipex_llm.transformers.models.minicpm import merge_qkv
+        model.apply(merge_qkv)
     if model.config.model_type == "minicpmv":
         from ipex_llm.transformers.models.minicpmv import merge_qkv
         model.vpm.apply(merge_qkv)
-        if model.config.hidden_size == 3584 and model.config.vocab_size == 151666:
+        if model.config.hidden_size == 2304 and model.config.vocab_size == 122753:
+            model.llm.config.model_type = "minicpm"
+        elif model.config.hidden_size == 3584 and model.config.vocab_size == 151666:
             model.llm.config.model_type = "qwen2"
-            _optimize_pre(model.llm, qtype=qtype)
-            model.llm.config.model_type = "minicpmv"
         elif model.config.hidden_size == 4096 and model.config.vocab_size == 128256:
             model.llm.config.model_type = "llama"
         _optimize_pre(model.llm, qtype=qtype)
@@ -1699,31 +1702,16 @@ def _optimize_post(model, lightweight_bmm=False):
                         module.StableLmModel,
                         stablelm_model_forward
                         )
-    elif model.config.model_type == 'minicpm':
+    elif model.config.model_type == "minicpm":
         modeling_module_name = model.__class__.__module__
         module = importlib.import_module(modeling_module_name)
-        if version.parse(trans_version) >= version.parse("4.39.0"):
-            from ipex_llm.transformers.models.minicpm import minicpm_attention_forward_4_39
-            convert_forward(model,
-                            module.MiniCPMAttention,
-                            minicpm_attention_forward_4_39)
-        else:
         from ipex_llm.transformers.models.minicpm import minicpm_attention_forward
-            convert_forward(model,
-                            module.MiniCPMAttention,
-                            minicpm_attention_forward)
-        from ipex_llm.transformers.models.minicpm import minicpm_model_forward
-
-        convert_forward(model,
-                        module.MiniCPMMLP,
-                        llama_mlp_forward)
-        convert_forward(model,
-                        module.MiniCPMRMSNorm,
-                        llama_rms_norm_forward)
-
-        convert_forward(model,
-                        module.MiniCPMModel,
-                        minicpm_model_forward)
+        from ipex_llm.transformers.models.minicpm import minicpm_model_forward_wrapper
+        convert_forward(model, module.MiniCPMAttention, minicpm_attention_forward)
+        convert_forward(model, module.MiniCPMMLP, llama_mlp_forward)
+        convert_forward(model, module.MiniCPMRMSNorm, llama_rms_norm_forward)
+        minicpm_model_forward = minicpm_model_forward_wrapper(module.MiniCPMModel.forward)
+        convert_forward(model, module.MiniCPMModel, minicpm_model_forward)
     elif model.config.model_type == "minicpmv":
         modeling_module_name = model.__class__.__module__
         module = importlib.import_module(modeling_module_name)
@@ -1734,13 +1722,9 @@ def _optimize_post(model, lightweight_bmm=False):
         if model.config.hidden_size == 2304 and model.config.vocab_size == 122753:
             # MiniCPM-V 2
             model.llm.config.model_type = "minicpm"
-            _optimize_post(model.llm, lightweight_bmm=lightweight_bmm)
-            model.llm.config.model_type = "minicpmv"
-        if model.config.hidden_size == 3584 and model.config.vocab_size == 151666:
+        elif model.config.hidden_size == 3584 and model.config.vocab_size == 151666:
             # MiniCPM-V 2.6
             model.llm.config.model_type = "qwen2"
-            _optimize_post(model.llm, lightweight_bmm=lightweight_bmm)
-            model.llm.config.model_type = "minicpmv"
         elif model.config.hidden_size == 4096 and model.config.vocab_size == 128256:
             # MiniCPM-V 2.5
             model.llm.config.model_type = "llama"