Update modeling_densebackward_olmoe0125.py

modeling_densebackward_olmoe0125.py

@@ -183,13 +183,6 @@ class DenseBackwardOLMoEForCausalLM(OlmoeForCausalLM):
                 new_block.norm_topk_prob = orig_block.norm_topk_prob
                 layer.mlp = new_block
                 print(type(layer.mlp))
-        # 在调用post_init()前
-        test_param = self.model.layers[0].mlp.experts[0].up_proj.weight.data[0, 0].item()
-        print(f"权重示例值（前）: {test_param}")
-        self.post_init()
-        # 在调用post_init()后
-        test_param_after = self.model.layers[0].mlp.experts[0].up_proj.weight.data[0, 0].item()
-        print(f"权重示例值（后）: {test_param_after}")
 
 def main():
     config = DenseBackwardOLMoEConfig(        # 官方模型参数