diff --git a/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/gather_gpu_kernel.cc b/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/gatherv2_gpu_kernel.cc
similarity index 83%
rename from mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/gather_gpu_kernel.cc
rename to mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/gatherv2_gpu_kernel.cc
index 8d3c06e805..7a13d05d38 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/gather_gpu_kernel.cc
+++ b/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/gatherv2_gpu_kernel.cc
@@ -1,5 +1,5 @@
 /**
- * Copyright 2019 Huawei Technologies Co., Ltd
+ * Copyright 2019-2020 Huawei Technologies Co., Ltd
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -14,17 +14,17 @@
  * limitations under the License.
  */
 
-#include "backend/kernel_compiler/gpu/arrays/gather_gpu_kernel.h"
+#include "backend/kernel_compiler/gpu/arrays/gatherv2_gpu_kernel.h"
 
 namespace mindspore {
 namespace kernel {
 MS_REG_GPU_KERNEL_TWO(
   GatherV2,
   KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeFloat32),
-  GatherGpuFwdKernel, float, int)
+  GatherV2GpuFwdKernel, float, int)
 MS_REG_GPU_KERNEL_TWO(
   GatherV2,
   KernelAttr().AddInputAttr(kNumberTypeFloat16).AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeFloat16),
-  GatherGpuFwdKernel, half, int)
+  GatherV2GpuFwdKernel, half, int)
 }  // namespace kernel
 }  // namespace mindspore
diff --git a/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/gather_gpu_kernel.h b/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/gatherv2_gpu_kernel.h
similarity index 89%
rename from mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/gather_gpu_kernel.h
rename to mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/gatherv2_gpu_kernel.h
index 2211361cee..50cb53d55e 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/gather_gpu_kernel.h
+++ b/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/gatherv2_gpu_kernel.h
@@ -1,5 +1,5 @@
 /**
- * Copyright 2019 Huawei Technologies Co., Ltd
+ * Copyright 2019-2020 Huawei Technologies Co., Ltd
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -20,15 +20,15 @@
 #include <vector>
 #include "backend/kernel_compiler/gpu/gpu_kernel.h"
 #include "backend/kernel_compiler/gpu/gpu_kernel_factory.h"
-#include "backend/kernel_compiler/gpu/cuda_impl/gather.cuh"
+#include "backend/kernel_compiler/gpu/cuda_impl/gatherv2.cuh"
 
 namespace mindspore {
 namespace kernel {
 template <typename T, typename S>
-class GatherGpuFwdKernel : public GpuKernel {
+class GatherV2GpuFwdKernel : public GpuKernel {
  public:
-  GatherGpuFwdKernel() : axis_(0), handle_(nullptr) {}
-  ~GatherGpuFwdKernel() = default;
+  GatherV2GpuFwdKernel() : axis_(0), handle_(nullptr) {}
+  ~GatherV2GpuFwdKernel() = default;
 
   const std::vector<size_t> &GetInputSizeList() const override { return input_size_list_; }
   const std::vector<size_t> &GetOutputSizeList() const override { return output_size_list_; }
@@ -42,15 +42,15 @@ class GatherGpuFwdKernel : public GpuKernel {
     T *output_addr = GetDeviceAddress<T>(outputs, 0);
 
     auto input_dim1 = input_shapes_[IntToSize(axis_)];
-    Gather(input_addr, indices_addr, output_addr, dims_[0], dims_[1], dims_[2], input_dim1,
-           reinterpret_cast<cudaStream_t>(stream_ptr));
+    GatherV2(input_addr, indices_addr, output_addr, dims_[0], dims_[1], dims_[2], input_dim1,
+             reinterpret_cast<cudaStream_t>(stream_ptr));
     return true;
   }
   bool Init(const CNodePtr &kernel_node) override {
     InitResource();
     size_t input_num = AnfAlgo::GetInputTensorNum(kernel_node);
     if (input_num != 2) {
-      MS_LOG(EXCEPTION) << "Argument number is " << input_num << ", but GatherGpuFwdKernel needs 2.";
+      MS_LOG(EXCEPTION) << "Argument number is " << input_num << ", but GatherGpuV2FwdKernel needs 2.";
     }
     input_shapes_ = AnfAlgo::GetPrevNodeOutputInferShape(kernel_node, 0);
     indices_shapes_ = AnfAlgo::GetPrevNodeOutputInferShape(kernel_node, 1);
diff --git a/mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/gather.cu b/mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/gatherv2.cu
similarity index 72%
rename from mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/gather.cu
rename to mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/gatherv2.cu
index 03b58b81a0..50fb1ab851 100755
--- a/mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/gather.cu
+++ b/mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/gatherv2.cu
@@ -1,5 +1,5 @@
 /**
- * Copyright 2019 Huawei Technologies Co., Ltd
+ * Copyright 2019-2020 Huawei Technologies Co., Ltd
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -15,10 +15,10 @@
  */
 
 #include <iostream>
-#include "backend/kernel_compiler/gpu/cuda_impl/gather.cuh"
+#include "backend/kernel_compiler/gpu/cuda_impl/gatherv2.cuh"
 #include "runtime/device/gpu/cuda_common.h"
 template <typename T, typename S>
-__global__ void GatherKernel(T *input, S *indices, T *output, size_t output_dim0, size_t output_dim1,
+__global__ void GatherV2Kernel(T *input, S *indices, T *output, size_t output_dim0, size_t output_dim1,
                              size_t output_dim2, size_t input_dim1) {
   int num = output_dim0 * output_dim1 * output_dim2;
   int i, j, k;
@@ -39,16 +39,16 @@ __global__ void GatherKernel(T *input, S *indices, T *output, size_t output_dim0
   return;
 }
 template <typename T, typename S>
-void Gather(T *input, S *indices, T *output, size_t output_dim0, size_t output_dim1, size_t output_dim2,
+void GatherV2(T *input, S *indices, T *output, size_t output_dim0, size_t output_dim1, size_t output_dim2,
             size_t input_dim1, cudaStream_t stream) {
   int size = output_dim0 * output_dim1 * output_dim2;
-  GatherKernel<<<GET_BLOCKS(size), GET_THREADS, 0, stream>>>(input, indices, output, output_dim0, output_dim1,
+  GatherV2Kernel<<<GET_BLOCKS(size), GET_THREADS, 0, stream>>>(input, indices, output, output_dim0, output_dim1,
                                                              output_dim2, input_dim1);
   return;
 }
 
-template void Gather<float, int>(float *input, int *indices, float *output, size_t output_dim0, size_t output_dim1,
+template void GatherV2<float, int>(float *input, int *indices, float *output, size_t output_dim0, size_t output_dim1,
                                  size_t output_dim2, size_t input_dim1, cudaStream_t stream);
 
-template void Gather<half, int>(half *input, int *indices, half *output, size_t output_dim0, size_t output_dim1,
+template void GatherV2<half, int>(half *input, int *indices, half *output, size_t output_dim0, size_t output_dim1,
                                 size_t output_dim2, size_t input_dim1, cudaStream_t stream);
diff --git a/mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/gather.cuh b/mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/gatherv2.cuh
similarity index 75%
rename from mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/gather.cuh
rename to mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/gatherv2.cuh
index a2aab89fb1..b96fee9dc7 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/gather.cuh
+++ b/mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/gatherv2.cuh
@@ -1,5 +1,5 @@
 /**
- * Copyright 2019 Huawei Technologies Co., Ltd
+ * Copyright 2019-2020 Huawei Technologies Co., Ltd
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -17,7 +17,7 @@
 #ifndef MINDSPORE_GATHER_GPU_CU_H
 #define MINDSPORE_GATHER_GPU_CU_H
 template <typename T, typename S>
-void Gather(T *input, S *indices, T *output, size_t output_dim0, size_t output_dim1, size_t output_dim2,
-            size_t input_dim1, cudaStream_t stream);
+void GatherV2(T *input, S *indices, T *output, size_t output_dim0, size_t output_dim1,
+              size_t output_dim2, size_t input_dim1, cudaStream_t stream);
 
 #endif