diff --git a/paddle/gserver/layers/SequenceSliceLayer.cpp b/paddle/gserver/layers/SequenceSliceLayer.cpp
index 424f898553..165ee6311a 100644
--- a/paddle/gserver/layers/SequenceSliceLayer.cpp
+++ b/paddle/gserver/layers/SequenceSliceLayer.cpp
@@ -70,9 +70,8 @@ void SequenceSliceLayer::checkInputs() {
   const Argument& inputSeq = getInput(0);
   CHECK(inputSeq.hasSeq()) << "The first input of sequence slic layer "
                            << "must be a sequence.";
-  // Check inputs
   const MatrixPtr indices1 = getInputValue(1);
-  CHECK_EQ(indices1->getHeight(),
+  CHECK_EQ(static_cast<size_t>(indices1->getHeight()),
            inputSeq.hasSubseq() ? inputSeq.getNumSubSequences()
                                 : inputSeq.getNumSequences())
       << "Height of the second input should be equal to number of sequence "
diff --git a/python/paddle/trainer_config_helpers/layers.py b/python/paddle/trainer_config_helpers/layers.py
index e51332da0d..79d24cfe5b 100755
--- a/python/paddle/trainer_config_helpers/layers.py
+++ b/python/paddle/trainer_config_helpers/layers.py
@@ -6242,6 +6242,7 @@ def seq_slice_layer(input, starts, ends, name=None):
         name, LayerType.SEQ_SLICE, parents=[input], size=input.size)
 
 
+@wrap_name_default()
 @layer_support()
 def kmax_sequence_score_layer(input, name=None, beam_size=1):
     """
diff --git a/python/paddle/trainer_config_helpers/tests/configs/protostr/test_kmax_seq_socre_layer.protostr b/python/paddle/trainer_config_helpers/tests/configs/protostr/test_kmax_seq_socre_layer.protostr
index 81bd71f68e..3d32220bfb 100644
--- a/python/paddle/trainer_config_helpers/tests/configs/protostr/test_kmax_seq_socre_layer.protostr
+++ b/python/paddle/trainer_config_helpers/tests/configs/protostr/test_kmax_seq_socre_layer.protostr
@@ -1,12 +1,6 @@
 type: "nn"
 layers {
-  name: "input"
-  type: "data"
-  size: 300
-  active_type: ""
-}
-layers {
-  name: "data"
+  name: "input_seq"
   type: "data"
   size: 128
   active_type: ""
@@ -17,7 +11,7 @@ layers {
   size: 1
   active_type: "exponential"
   inputs {
-    input_layer_name: "data"
+    input_layer_name: "input_seq"
     input_parameter_name: "___fc_layer_0__.w0"
   }
   bias_parameter_name: "___fc_layer_0__.wbias"
@@ -51,15 +45,14 @@ parameters {
   initial_strategy: 0
   initial_smart: false
 }
-input_layer_names: "data"
+input_layer_names: "input_seq"
 output_layer_names: "__kmax_sequence_score_layer_0__"
 sub_models {
   name: "root"
-  layer_names: "input"
-  layer_names: "data"
+  layer_names: "input_seq"
   layer_names: "__fc_layer_0__"
   layer_names: "__kmax_sequence_score_layer_0__"
-  input_layer_names: "data"
+  input_layer_names: "input_seq"
   output_layer_names: "__kmax_sequence_score_layer_0__"
   is_recurrent_layer_group: false
 }
diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_kmax_seq_socre_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_kmax_seq_socre_layer.py
index d245c5a41c..48d0cd55da 100644
--- a/python/paddle/trainer_config_helpers/tests/configs/test_kmax_seq_socre_layer.py
+++ b/python/paddle/trainer_config_helpers/tests/configs/test_kmax_seq_socre_layer.py
@@ -2,9 +2,7 @@
 #coding=utf-8
 from paddle.trainer_config_helpers import *
 
-data = data_layer(name='input', size=300)
-
-data = data_layer(name="data", size=128)
+data = data_layer(name="input_seq", size=128)
 scores = fc_layer(input=data, size=1, act=ExpActivation())
 kmax_seq_id = kmax_sequence_score_layer(input=scores, beam_size=5)