diff --git a/paddle/fluid/inference/tensorrt/convert/emb_eltwise_layernorm.cc b/paddle/fluid/inference/tensorrt/convert/emb_eltwise_layernorm.cc
index a70839ee9d401699ab5c4e1b4544187633a0e3af..fcf20848b07be29d217234662fb0f45cb9723ab5 100644
--- a/paddle/fluid/inference/tensorrt/convert/emb_eltwise_layernorm.cc
+++ b/paddle/fluid/inference/tensorrt/convert/emb_eltwise_layernorm.cc
@@ -181,7 +181,7 @@ class EmbEltwiseLayerNormOpConverter : public OpConverter {
         layer = plugin_layer;
         auto output_name = op_desc.Output("Out")[0];
         RreplenishLayerAndOutput(layer,
-                                 "ManyEmbLayerNormPluginDynamic_V1",
+                                 "ManyEmbLayerNormVarlenPluginDynamicV1",
                                  {output_name,
                                   std::string("qkv_plugin_mask"),
                                   std::string("max_seqlen_tensor")},
diff --git a/paddle/fluid/inference/tensorrt/convert/multihead_matmul_op.cc b/paddle/fluid/inference/tensorrt/convert/multihead_matmul_op.cc
index b3447bb23c38acabab3f3c4ecb6403e0a9ac122a..f20dce42ace39534b53c5013cb75f310d34ced8a 100644
--- a/paddle/fluid/inference/tensorrt/convert/multihead_matmul_op.cc
+++ b/paddle/fluid/inference/tensorrt/convert/multihead_matmul_op.cc
@@ -257,7 +257,8 @@ class MultiheadMatMulOpConverter : public OpConverter {
               max_seqlen_tensor);  // max_seqlen, eval_placeholder_3
           auto plugin_layer = engine_->network()->addPluginV2(
               plugin_inputs.data(), plugin_inputs.size(), *plugin);
-          layer = plugin_layer;
+          RreplenishLayerAndOutput(
+              plugin_layer, "multihead_matmul", {output_name}, test_mode);
         } else {
           int head_size = hidden_out / head_number;
           // [3, head_number, head_size, hidden_in] -> [head_number, 3,
@@ -381,7 +382,8 @@ class MultiheadMatMulOpConverter : public OpConverter {
 
           auto plugin_layer = engine_->network()->addPluginV2(
               plugin_inputs.data(), plugin_inputs.size(), *plugin);
-
+          plugin_layer->setName(
+              ("CustomQKVToContextPluginDynamic: " + output_name).c_str());
           // recover no_varlen output
           if (!flag_varseqlen) {
             std::vector<nvinfer1::ITensor*> output_transformer;
@@ -394,7 +396,10 @@ class MultiheadMatMulOpConverter : public OpConverter {
                 engine_->AddDynamicPlugin(output_transformer.data(),
                                           output_transformer.size(),
                                           plugin);
-            layer = transformer_output_layer;
+            engine_->SetITensor(output_name,
+                                transformer_output_layer->getOutput(0));
+          } else {
+            engine_->SetITensor(output_name, plugin_layer->getOutput(0));
           }
         }
       } else {
@@ -776,6 +781,8 @@ class MultiheadMatMulOpConverter : public OpConverter {
               new plugin::QkvToContextPluginDynamic(
                   hidden_in, head_number, head_size, scale, with_fp16);
           layer = engine_->AddDynamicPlugin(plugin_inputs.data(), 2, plugin);
+          RreplenishLayerAndOutput(
+              layer, "multihead_matmul", {output_name}, test_mode);
         }
       }
     } else {
@@ -785,8 +792,6 @@ class MultiheadMatMulOpConverter : public OpConverter {
           "You can use the config.SetTRTDynamicShapeInfo(...) interface to set "
           "the shape information to run the dynamic shape mode."));
     }
-    RreplenishLayerAndOutput(
-        layer, "multihead_matmul", {output_name}, test_mode);
   }
 };
 
diff --git a/paddle/fluid/inference/tensorrt/plugin/many_emb_layernorm_varseqlen_plugin.cu b/paddle/fluid/inference/tensorrt/plugin/many_emb_layernorm_varseqlen_plugin.cu
index 01abd3a61863f95806096795e965fb6abab46fce..42d92f2bb4806955bcf64072df8364df772334ce 100644
--- a/paddle/fluid/inference/tensorrt/plugin/many_emb_layernorm_varseqlen_plugin.cu
+++ b/paddle/fluid/inference/tensorrt/plugin/many_emb_layernorm_varseqlen_plugin.cu
@@ -255,7 +255,7 @@ bool EmbLayerNormVarSeqlenPluginBase::supportsFormatCombination(
            desc.dims.d[0] == prev.dims.d[0];
   }
   if (pos == nbInputs - 1) {  // mask id
-    return desc.type == prev.type;
+    return desc.type == mType;
   }
   // embedded sequence
   if (pos == nbInputs) {
@@ -265,11 +265,11 @@ bool EmbLayerNormVarSeqlenPluginBase::supportsFormatCombination(
   }
   // mask(HFace) or pre_layernorm_bias(MTron)
   if (pos == nbInputs + 1) {
-    return desc.type == prev.type;
+    return desc.type == mType;
   }
   // max seqlen
   if (pos == nbInputs + 2) {
-    return desc.type == prev.type;
+    return desc.type == mType;
   }
 }