!15770 fix codex for master

From: @yuanwei66
Reviewed-by: @wuxuejian,@c_34
Signed-off-by: @wuxuejian

mindspore/ccsrc/backend/kernel_compiler/cpu/concat_cpu_kernel.cc

@@ -32,8 +32,7 @@ void ConcatCPUKernel<T>::InitKernel(const CNodePtr &kernel_node) {
 }
 
 template <typename T>
-bool ConcatCPUKernel<T>::Launch(const std::vector<kernel::AddressPtr> &inputs,
-                                const std::vector<kernel::AddressPtr> & /*workspace*/,
+bool ConcatCPUKernel<T>::Launch(const std::vector<kernel::AddressPtr> &inputs, const std::vector<kernel::AddressPtr> &,
                                 const std::vector<kernel::AddressPtr> &outputs) {
   auto node_ = node_wpt_.lock();
   if (!node_) {
@@ -71,7 +70,7 @@ bool ConcatCPUKernel<T>::Launch(const std::vector<kernel::AddressPtr> &inputs,
 }
 
 template <typename T>
-void ConcatCPUKernel<T>::CheckParam(const CNodePtr &kernel_node) {
+void ConcatCPUKernel<T>::CheckParam(const CNodePtr &kernel_node) const {
   size_t output_num = AnfAlgo::GetOutputTensorNum(kernel_node);
   if (output_num != 1) {
     MS_LOG(EXCEPTION) << "Output number is " << output_num << ", but ConcatCPUKernel needs 1 output.";

mindspore/ccsrc/backend/kernel_compiler/cpu/concat_cpu_kernel.h

@@ -34,7 +34,7 @@ class ConcatCPUKernel : public CPUKernel {
               const std::vector<AddressPtr> &outputs) override;
 
  private:
-  void CheckParam(const CNodePtr &kernel_node);
+  void CheckParam(const CNodePtr &kernel_node) const;
   int axis_ = 0;
   CNodeWeakPtr node_wpt_;
 };

mindspore/ccsrc/backend/kernel_compiler/cpu/random_cpu_kernel.cc

@@ -26,6 +26,7 @@ void StandardNormal(float *output, std::normal_distribution<float> distribution,
     output[i] = distribution(random_generator);
   }
 }
+
 void LaunchStandardNormal(int seed, int seed2, const std::vector<AddressPtr> &outputs) {
   unsigned int RNG_seed;
   std::random_device rd;
@@ -38,33 +39,13 @@ void LaunchStandardNormal(int seed, int seed2, const std::vector<AddressPtr> &ou
   }
 
   auto output = reinterpret_cast<float *>(outputs[0]->addr);
-  // multithreading
   size_t lens = outputs[0]->size / sizeof(float);
-  auto max_thread_num = std::thread::hardware_concurrency();
-  size_t thread_num = lens < 128 * max_thread_num ? std::ceil(lens / 128.0) : max_thread_num;
-  if (thread_num < 1) {
-    MS_LOG(ERROR) << "Invalid value: thread_num " << thread_num;
-    return;
-  }
-  std::vector<std::thread> threads;
-  threads.reserve(thread_num);
-  size_t start = 0;
-  size_t once_compute_size = (lens + thread_num - 1) / thread_num;
-  if (once_compute_size < 1) {
-    MS_LOG(ERROR) << "Invalid value: once_compute_size " << once_compute_size;
-    return;
-  }
   std::normal_distribution<float> distribution;
-  while (start < lens) {
-    // avoid different threads using the same seed to generate the same random number
+  auto task = [&](size_t start, size_t end) {
     std::default_random_engine random_generator(++RNG_seed);
-    size_t end = (start + once_compute_size) > lens ? lens : (start + once_compute_size);
-    threads.emplace_back(std::thread(StandardNormal, output, distribution, random_generator, start, end));
-    start += once_compute_size;
-  }
-  for (size_t i = 0; i < threads.size(); ++i) {
-    threads[i].join();
-  }
+    StandardNormal(output, distribution, random_generator, start, end);
+  };
+  CPUKernelUtils::ParallelFor(task, lens);
 }
 
 void RandomCPUKernel::InitKernel(const CNodePtr &kernel_node) {
@@ -91,8 +72,7 @@ void RandomCPUKernel::InitKernel(const CNodePtr &kernel_node) {
   seed2_ = LongToInt(GetValue<int64_t>(AnfAlgo::GetCNodePrimitive(kernel_node)->GetAttr("seed2")));
 }
 
-bool RandomCPUKernel::Launch(const std::vector<kernel::AddressPtr> &inputs,
-                             const std::vector<kernel::AddressPtr> & /*workspace*/,
+bool RandomCPUKernel::Launch(const std::vector<kernel::AddressPtr> &inputs, const std::vector<kernel::AddressPtr> &,
                              const std::vector<kernel::AddressPtr> &outputs) {
   switch (random_op_type_) {
     case RANDOM_OP_NORMAL: {