diff --git a/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/topk_gpu_kernel.h b/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/topk_gpu_kernel.h
index 093527b5d9..ebe56aa635 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/topk_gpu_kernel.h
+++ b/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/topk_gpu_kernel.h
@@ -72,7 +72,7 @@ class TopKGpuKernel : public GpuKernel {
     size_t buffer_size = ceil_power2_ * (sizeof(T) + sizeof(S));
     if (buffer_size > SHARED_MEM_PER_BLOCK) {
       use_share_mem_ = false;
-      MS_LOG(WARNING) << "CUDA share memory not enough, sort with RAM";
+      MS_LOG(INFO) << "CUDA share memory not enough, sort with RAM";
     }
 
     InitSizeLists();
diff --git a/mindspore/ccsrc/backend/kernel_compiler/gpu/nn/ctcloss_gpu_kernel.h b/mindspore/ccsrc/backend/kernel_compiler/gpu/nn/ctcloss_gpu_kernel.h
index cf72a32b65..ab6d4ae83e 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/gpu/nn/ctcloss_gpu_kernel.h
+++ b/mindspore/ccsrc/backend/kernel_compiler/gpu/nn/ctcloss_gpu_kernel.h
@@ -44,9 +44,6 @@ class CtcLossGpuKernel : public GpuKernel {
   bool Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &,
               const std::vector<AddressPtr> &outputs, void *stream_ptr) override {
     float *probs = GetDeviceAddress<float>(inputs, 0);
-    int *labels = GetDeviceAddress<int>(inputs, 1);
-    int *input_lengths = GetDeviceAddress<int>(inputs, 2);
-    int *label_lengths = GetDeviceAddress<int>(inputs, 3);
     float *costs = GetDeviceAddress<float>(outputs, 0);
     float *grads = GetDeviceAddress<float>(outputs, 1);
 
@@ -55,29 +52,9 @@ class CtcLossGpuKernel : public GpuKernel {
     int *no_blank_labels_host = nullptr;
     void *input_lengths_host = nullptr;
     void *label_lengths_host = nullptr;
-    CHECK_CUDA_RET_WITH_EXCEPT(cudaMallocHost(&labels_host, inputs[1]->size), "cudaMallocHost failed.");
-    CHECK_CUDA_RET_WITH_EXCEPT(cudaMallocHost(&no_blank_labels_host, inputs[1]->size), "cudaMallocHost failed.");
-    CHECK_CUDA_RET_WITH_EXCEPT(cudaMallocHost(&input_lengths_host, inputs[2]->size), "cudaMallocHost failed.");
-    CHECK_CUDA_RET_WITH_EXCEPT(cudaMallocHost(&label_lengths_host, inputs[3]->size), "cudaMallocHost failed.");
     cudaStream_t stream = reinterpret_cast<cudaStream_t>(stream_ptr);
-    CHECK_CUDA_RET_WITH_EXCEPT(cudaMemcpyAsync(labels_host, labels, inputs[1]->size, cudaMemcpyDeviceToHost, stream),
-                               "cudaMemcpyAsync failed.");
-    CHECK_CUDA_RET_WITH_EXCEPT(
-      cudaMemcpyAsync(input_lengths_host, input_lengths, inputs[2]->size, cudaMemcpyDeviceToHost, stream),
-      "cudaMemcpyAsync failed.");
-    CHECK_CUDA_RET_WITH_EXCEPT(
-      cudaMemcpyAsync(label_lengths_host, label_lengths, inputs[3]->size, cudaMemcpyDeviceToHost, stream),
-      "cudaMemcpyAsync failed.");
-
-    CHECK_CUDA_RET_WITH_EXCEPT(cudaStreamSynchronize(stream), "cudaStreamSynchronize failed.");
-
-    size_t j = 0;
-    for (size_t i = 0; i < inputs[1]->size / sizeof(int); i++) {
-      if (labels_host[i] != 0) {
-        no_blank_labels_host[j] = labels_host[i];
-        j++;
-      }
-    }
+    AllocHostMem(&labels_host, &no_blank_labels_host, &input_lengths_host, &label_lengths_host, inputs);
+    CopyToHostSync(labels_host, no_blank_labels_host, input_lengths_host, label_lengths_host, inputs, stream);
 
     size_t workspace_size = 0;
     CHECK_CUDNN_RET_WITH_EXCEPT(
@@ -99,10 +76,7 @@ class CtcLossGpuKernel : public GpuKernel {
     CHECK_CUDA_RET_WITH_EXCEPT(cudaStreamSynchronize(stream), "cudaStreamSynchronize failed.");
 
     device::gpu::GPUMemoryAllocator::GetInstance().FreeTensorMem(workspace);
-    CHECK_CUDA_RET_WITH_EXCEPT(cudaFreeHost(label_lengths_host), "cudaFreeHost failed.");
-    CHECK_CUDA_RET_WITH_EXCEPT(cudaFreeHost(input_lengths_host), "cudaFreeHost failed.");
-    CHECK_CUDA_RET_WITH_EXCEPT(cudaFreeHost(labels_host), "cudaFreeHost failed.");
-    CHECK_CUDA_RET_WITH_EXCEPT(cudaFreeHost(no_blank_labels_host), "cudaFreeHost failed.");
+    FreeHostMem(labels_host, no_blank_labels_host, input_lengths_host, label_lengths_host);
     return true;
   }
   bool Init(const CNodePtr &kernel_node) override {
@@ -160,6 +134,46 @@ class CtcLossGpuKernel : public GpuKernel {
     CHECK_CUDNN_RET_WITH_ERROR(cudnnDestroyCTCLossDescriptor(ctcloss_desc_), "cudnnDestroyCTCLossDescriptor failed.");
     CHECK_CUDNN_RET_WITH_ERROR(cudnnDestroyTensorDescriptor(probs_desc_), "cudnnDestroyTensorDescriptor failed.");
   }
+
+  void AllocHostMem(int **labels_host, int **no_blank_labels_host, void **input_lengths_host, void **label_lengths_host,
+                    const std::vector<AddressPtr> &inputs) {
+    CHECK_CUDA_RET_WITH_EXCEPT(cudaMallocHost(labels_host, inputs[1]->size), "cudaMallocHost failed.");
+    CHECK_CUDA_RET_WITH_EXCEPT(cudaMallocHost(no_blank_labels_host, inputs[1]->size), "cudaMallocHost failed.");
+    CHECK_CUDA_RET_WITH_EXCEPT(cudaMallocHost(input_lengths_host, inputs[2]->size), "cudaMallocHost failed.");
+    CHECK_CUDA_RET_WITH_EXCEPT(cudaMallocHost(label_lengths_host, inputs[3]->size), "cudaMallocHost failed.");
+  }
+
+  void FreeHostMem(int *labels_host, int *no_blank_labels_host, void *input_lengths_host, void *label_lengths_host) {
+    CHECK_CUDA_RET_WITH_EXCEPT(cudaFreeHost(label_lengths_host), "cudaFreeHost failed.");
+    CHECK_CUDA_RET_WITH_EXCEPT(cudaFreeHost(input_lengths_host), "cudaFreeHost failed.");
+    CHECK_CUDA_RET_WITH_EXCEPT(cudaFreeHost(labels_host), "cudaFreeHost failed.");
+    CHECK_CUDA_RET_WITH_EXCEPT(cudaFreeHost(no_blank_labels_host), "cudaFreeHost failed.");
+  }
+
+  void CopyToHostSync(int *labels_host, int *no_blank_labels_host, void *input_lengths_host, void *label_lengths_host,
+                      const std::vector<AddressPtr> &inputs, cudaStream_t stream) {
+    CHECK_CUDA_RET_WITH_EXCEPT(cudaStreamSynchronize(stream), "cudaStreamSynchronize failed.");
+    CHECK_CUDA_RET_WITH_EXCEPT(
+      cudaMemcpyAsync(labels_host, inputs[1]->addr, inputs[1]->size, cudaMemcpyDeviceToHost, stream),
+      "cudaMemcpyAsync failed.");
+    CHECK_CUDA_RET_WITH_EXCEPT(
+      cudaMemcpyAsync(input_lengths_host, inputs[2]->addr, inputs[2]->size, cudaMemcpyDeviceToHost, stream),
+      "cudaMemcpyAsync failed.");
+    CHECK_CUDA_RET_WITH_EXCEPT(
+      cudaMemcpyAsync(label_lengths_host, inputs[3]->addr, inputs[3]->size, cudaMemcpyDeviceToHost, stream),
+      "cudaMemcpyAsync failed.");
+    CHECK_CUDA_RET_WITH_EXCEPT(cudaStreamSynchronize(stream), "cudaStreamSynchronize failed.");
+
+    // remove blank element
+    size_t j = 0;
+    for (size_t i = 0; i < inputs[1]->size / sizeof(int); i++) {
+      if (labels_host[i] != 0) {
+        no_blank_labels_host[j] = labels_host[i];
+        j++;
+      }
+    }
+  }
+
   std::vector<size_t> input_size_list_;
   std::vector<size_t> output_size_list_;
   std::vector<size_t> workspace_size_list_;