diff --git a/ge/host_kernels/concat_offset_kernel.cc b/ge/host_kernels/concat_offset_kernel.cc
index ff597873..b6940eb4 100644
--- a/ge/host_kernels/concat_offset_kernel.cc
+++ b/ge/host_kernels/concat_offset_kernel.cc
@@ -33,7 +33,7 @@ const int kNumOne = 1;
 }  // namespace
 Status ConcatOffsetKernel::Compute(const OpDescPtr op_desc_ptr, const vector<ConstGeTensorPtr> &input,
                                    vector<GeTensorPtr> &v_output) {
-  GELOGI("ConcatOffsetKernel in.");
+  GELOGD("ConcatOffsetKernel in");
   if (op_desc_ptr == nullptr) {
     GELOGE(PARAM_INVALID, "input opdesc is nullptr.");
     return PARAM_INVALID;
@@ -41,7 +41,7 @@ Status ConcatOffsetKernel::Compute(const OpDescPtr op_desc_ptr, const vector<Con
   // validate attrs
   int N = 0;
   if (!(AttrUtils::GetInt(op_desc_ptr, "N", N))) {
-    GELOGW("Attr %s does not exist.", "N");
+    GELOGW("Attr %s does not exist", "N");
     return NOT_CHANGED;
   }
   // follow IR def, the first input is concat_dim
@@ -50,7 +50,7 @@ Status ConcatOffsetKernel::Compute(const OpDescPtr op_desc_ptr, const vector<Con
   int32_t concat_dim = *(const_cast<int32_t *>(reinterpret_cast<const int32_t *>(input_0->GetData().data())));
   // validate inputs
   if ((static_cast<int>(input.size()) != (N + kNumOne)) || (input.size() <= kConcatOffsetInputIndexOne)) {
-    GELOGW("The number of input for concat offset must be equal to %d, and must be more than one.", (N + kNumOne));
+    GELOGW("The number of input for concat offset must be equal to %d, and must be more than one", (N + kNumOne));
     return NOT_CHANGED;
   }
 
@@ -61,7 +61,7 @@ Status ConcatOffsetKernel::Compute(const OpDescPtr op_desc_ptr, const vector<Con
     GELOGW("Concat dim is bigger than the size of output_shape.");
     return NOT_CHANGED;
   }
-  GELOGI("Output shape size is %ld", output_size);
+  GELOGI("Output shape size is %ld.", output_size);
   int32_t offset = 0;
   if (output_size < 0) {
     GELOGE(FAILED, "Index is negative.");
@@ -86,7 +86,7 @@ Status ConcatOffsetKernel::Compute(const OpDescPtr op_desc_ptr, const vector<Con
     output_ptr->MutableTensorDesc().SetShape(output_shape);
     GE_IF_BOOL_EXEC(output_ptr->SetData(reinterpret_cast<uint8_t *>(buf.get()),
                                         static_cast<size_t>(sizeof(DT_INT32) * output_size)) != GRAPH_SUCCESS,
-                    GELOGW("set data failed");
+                    GELOGW("set data failed.");
                     return NOT_CHANGED);
     v_output.push_back(output_ptr);
     // caculate offset
@@ -99,7 +99,7 @@ Status ConcatOffsetKernel::Compute(const OpDescPtr op_desc_ptr, const vector<Con
     }
     offset += input_dim;
   }
-  GELOGI("ConcatOffsetKernel success.");
+  GELOGD("ConcatOffsetKernel success");
   return SUCCESS;
 }
 REGISTER_KERNEL(CONCATOFFSET, ConcatOffsetKernel);
diff --git a/ge/host_kernels/gather_v2_kernel.cc b/ge/host_kernels/gather_v2_kernel.cc
index 610d2c3b..326bfbd1 100644
--- a/ge/host_kernels/gather_v2_kernel.cc
+++ b/ge/host_kernels/gather_v2_kernel.cc
@@ -208,7 +208,7 @@ Status GatherV2Kernel::GenData(const int64_t data_num, ConstGeTensorPtr tensor_x
       ret = ProcessAxis3<T>(tensor_x, output);
       break;
     default:
-      GELOGI("Only support 4 dims and below but input axis is %ld.", axis);
+      GELOGI("Only support 4 dims and below but input axis is %ld", axis);
       return NOT_CHANGED;
   }
   return ret;
@@ -267,7 +267,7 @@ Status GatherV2Kernel::Process(int64_t axis, DataType data_type, ConstGeTensorPt
       ret = GenData<uint64_t>(data_num, input_tensor_ptr, axis, output_ptr);
       break;
     default:
-      GELOGI("GatherV2Kernel does not support this Data type:%s.", TypeUtils::DataTypeToSerialString(data_type).c_str());
+      GELOGI("GatherV2Kernel does not support this Data type:%s", TypeUtils::DataTypeToSerialString(data_type).c_str());
       return NOT_CHANGED;
   }
   return ret;
@@ -330,13 +330,13 @@ Status GatherV2Kernel::Check(const OpDescPtr &op_desc_ptr, const vector<ConstGeT
   auto axis_shape = tensor2->GetTensorDesc().GetShape();
   // axis must be scalar
   if (axis_shape.GetDimNum() != 0) {
-    GELOGW("axis must be scalar but its shape is %zu.", axis_shape.GetDimNum());
+    GELOGW("axis must be scalar but its shape is %zu", axis_shape.GetDimNum());
     return NOT_CHANGED;
   }
   auto axis_data_type = tensor2->GetTensorDesc().GetDataType();
   bool is_valid_axis_data_type = axis_data_type == DT_INT32 || axis_data_type == DT_INT64;
   if (!is_valid_axis_data_type) {
-    GELOGW("axis datatype must be DT_INT32 or DT_INT64.");
+    GELOGW("axis datatype must be DT_INT32 or DT_INT64");
     return NOT_CHANGED;
   }
 
@@ -442,13 +442,13 @@ Status GatherV2Kernel::Compute(const OpDescPtr op_desc_ptr, const vector<ConstGe
   auto ret_y = CalcStride(ystride_, y_shape);
   ret = (ret_x == SUCCESS && ret_y == SUCCESS) ? SUCCESS : NOT_CHANGED;
   if (ret != SUCCESS) {
-    GELOGE(ret, "CalcStride Failed.");
+    GELOGE(ret, "CalcStride Failed");
     return ret;
   }
 
   ret = Process(axis, x_data_type, tensor0, output_ptr);
   if (ret != SUCCESS) {
-    GELOGE(ret, "GenData failed, data_type: %s.", TypeUtils::DataTypeToSerialString(x_data_type).c_str());
+    GELOGE(ret, "GenData failed, data_type: %s", TypeUtils::DataTypeToSerialString(x_data_type).c_str());
     return ret;
   }
 
diff --git a/ge/host_kernels/strided_slice_kernel.cc b/ge/host_kernels/strided_slice_kernel.cc
index ca051609..b8226c49 100644
--- a/ge/host_kernels/strided_slice_kernel.cc
+++ b/ge/host_kernels/strided_slice_kernel.cc
@@ -45,7 +45,7 @@ bool IsEllipsisMaskValid(const GeTensorDescPtr &input_desc, const uint32_t ellip
         ++ellipsis_num;
       }
       if (ellipsis_num > 1) {
-        GELOGW("Only one non-zero bit is allowed in ellipsis_mask");
+        GELOGW("Only one non-zero bit is allowed in ellipsis_mask.");
         return false;
       }
     }
@@ -100,7 +100,7 @@ Status StridedSliceKernel::Compute(const ge::OpDescPtr attr, const std::vector<g
   std::vector<int64_t> output_dims;
   std::vector<int64_t> stride_vec;
   if (InitParamWithAttrs(input, input_dims, begin_vec, output_dims, stride_vec) != SUCCESS) {
-    GELOGW("Init param with mask attrs failed.Ignore kernel");
+    GELOGW("Init param with mask attrs failed.Ignore kernel.");
     return NOT_CHANGED;
   }
 
@@ -114,7 +114,7 @@ Status StridedSliceKernel::Compute(const ge::OpDescPtr attr, const std::vector<g
   auto output_tensor_desc = attr->GetOutputDesc(0);
   GeTensorPtr output_ptr = MakeShared<GeTensor>(output_tensor_desc);
   if (output_ptr == nullptr) {
-    GELOGE(MEMALLOC_FAILED, "MakeShared GeTensor failed, node name %s", attr->GetName().c_str());
+    GELOGE(MEMALLOC_FAILED, "MakeShared GeTensor failed, node name %s.", attr->GetName().c_str());
     return NOT_CHANGED;
   }
   auto ret = OpUtils::SetOutputSliceData(data, static_cast<int64_t>(data_size), data_type, input_dims, begin_vec,
@@ -138,7 +138,7 @@ Status StridedSliceKernel::Compute(const ge::OpDescPtr attr, const std::vector<g
 }
 Status StridedSliceKernel::CheckAndGetAttr(const OpDescPtr &attr) {
   if (attr == nullptr) {
-    GELOGE(PARAM_INVALID, "input opdescptr is nullptr");
+    GELOGE(PARAM_INVALID, "input opdescptr is nullptr.");
     return PARAM_INVALID;
   }
   // Get all op attr value of strided_slice
@@ -159,7 +159,7 @@ Status StridedSliceKernel::CheckAndGetAttr(const OpDescPtr &attr) {
 }
 Status StridedSliceKernel::CheckInputParam(const std::vector<ConstGeTensorPtr> &input) {
   if (input.size() != kStridedSliceInputSize) {
-    GELOGE(PARAM_INVALID, "The number of input for strided slice must be %zu", kStridedSliceInputSize);
+    GELOGE(PARAM_INVALID, "The number of input for strided slice must be %zu.", kStridedSliceInputSize);
     return PARAM_INVALID;
   }
 
@@ -178,7 +178,7 @@ Status StridedSliceKernel::CheckInputParam(const std::vector<ConstGeTensorPtr> &
   auto stride_tensor_desc = begin_tensor->GetTensorDesc();
   if (begin_tensor_desc.GetDataType() != end_tensor_desc.GetDataType() ||
       end_tensor_desc.GetDataType() != stride_tensor_desc.GetDataType()) {
-    GELOGW("Data type of StridedSlice OP(begin,end,strides) must be same");
+    GELOGW("Data type of StridedSlice OP(begin,end,strides) must be same.");
     return PARAM_INVALID;
   }
   if (kIndexNumberType.find(begin_tensor_desc.GetDataType()) == kIndexNumberType.end()) {
@@ -190,7 +190,7 @@ Status StridedSliceKernel::CheckInputParam(const std::vector<ConstGeTensorPtr> &
   auto x_data_type = weight0->GetTensorDesc().GetDataType();
   auto x_data_size = GetSizeByDataType(x_data_type);
   if (x_data_size < 0) {
-    GELOGW("Data type of x input %s is not supported", TypeUtils::DataTypeToSerialString(x_data_type).c_str());
+    GELOGW("Data type of x input %s is not supported.", TypeUtils::DataTypeToSerialString(x_data_type).c_str());
     return PARAM_INVALID;
   }
   size_t weight0_size = weight0->GetData().size() / x_data_size;
@@ -198,12 +198,12 @@ Status StridedSliceKernel::CheckInputParam(const std::vector<ConstGeTensorPtr> &
   size_t end_data_size = end_tensor->GetData().size();
   size_t stride_data_size = stride_tensor->GetData().size();
   if ((weight0_size == 0) || (begin_data_size == 0) || (end_data_size == 0) || (stride_data_size == 0)) {
-    GELOGW("Data size of inputs is 0");
+    GELOGW("Data size of inputs is 0.");
     return PARAM_INVALID;
   }
   // check dim size
   if (!((begin_data_size == end_data_size) && (end_data_size == stride_data_size))) {
-    GELOGW("The sizes of begin, end and stride is not supported");
+    GELOGW("The sizes of begin, end and stride is not supported.");
     return PARAM_INVALID;
   }
   return SUCCESS;
@@ -254,7 +254,7 @@ Status StridedSliceKernel::InitParamWithAttrs(const std::vector<ConstGeTensorPtr
            begin_i, end_i, stride_i, x_dims.at(i));
     auto ret = MaskCal(i, begin_i, end_i, x_dims.at(i));
     if (ret != SUCCESS) {
-      GELOGW("MaskCal failed, because of data overflow");
+      GELOGW("MaskCal failed, because of data overflow.");
       return NOT_CHANGED;
     }
     int64_t dim_final;
@@ -273,7 +273,7 @@ void StridedSliceKernel::ExpandDimsWithNewAxis(const ConstGeTensorPtr &begin_ten
                                                vector<int64_t> &x_dims) {
   auto begin_data_type_size = GetSizeByDataType(begin_tensor->GetTensorDesc().GetDataType());
   if (begin_data_type_size == 0) {
-    GELOGW("Param begin_data_type_size should not be zero");
+    GELOGW("Param begin_data_type_size should not be zero.");
     return;
   }
   size_t begin_vec_size = begin_tensor->GetData().size() / begin_data_type_size;