diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/adam_cpu_kernel.cc b/mindspore/ccsrc/backend/kernel_compiler/cpu/adam_cpu_kernel.cc
index b51df848ac..c5e28c59a8 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/adam_cpu_kernel.cc
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/adam_cpu_kernel.cc
@@ -88,11 +88,15 @@ bool AdamCPUKernel::Launch(const std::vector<kernel::AddressPtr> &inputs,
   size_t thread_num = lens < 128 * max_thread_num ? std::ceil(lens / 128.0) : max_thread_num;
   MS_LOG(INFO) << "Lens=" << lens << "; use thread_num=" << thread_num << "; max_thread_num: " << max_thread_num;
   std::vector<std::thread> threads;
+  if (thread_num < 1) {
+    MS_LOG(ERROR) << "Invalid value: thread_num " << thread_num;
+    return false;
+  }
   threads.reserve(thread_num);
   size_t start = 0;
   size_t once_compute_size = (lens + thread_num - 1) / thread_num;
-  if (thread_num < 1 || once_compute_size < 1) {
-    MS_LOG(ERROR) << "Invalid value: thread_num " << thread_num << "; once_compute_size " << once_compute_size;
+  if (once_compute_size < 1) {
+    MS_LOG(ERROR) << "Invalid value: once_compute_size " << once_compute_size;
     return false;
   }
   while (start < lens) {
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/arithmetic_cpu_kernel.cc b/mindspore/ccsrc/backend/kernel_compiler/cpu/arithmetic_cpu_kernel.cc
index 14e60674a3..c44a9ae002 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/arithmetic_cpu_kernel.cc
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/arithmetic_cpu_kernel.cc
@@ -186,9 +186,17 @@ void ArithmeticCPUKernel::LaunchLess(const std::vector<AddressPtr> &inputs, cons
   size_t thread_num = lens < 128 * max_thread_num ? std::ceil(lens / 128.0) : max_thread_num;
   MS_LOG(INFO) << "Lens=" << lens << "; use thread_num=" << thread_num << "; max_thread_num: " << max_thread_num;
   std::vector<std::thread> threads;
+  if (thread_num < 1) {
+    MS_LOG(ERROR) << "Invalid value: thread_num " << thread_num;
+    return;
+  }
   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;
+  }
   while (start < lens) {
     size_t end = (start + once_compute_size) > lens ? lens : (start + once_compute_size);
     threads.emplace_back(std::thread(&ArithmeticCPUKernel::Less<T>, this, input1, input2, output, start, end));
@@ -214,11 +222,15 @@ void ArithmeticCPUKernel::LaunchKernel(const std::vector<AddressPtr> &inputs, co
   size_t thread_num = lens < 128 * max_thread_num ? std::ceil(lens / 128.0) : max_thread_num;
   MS_LOG(INFO) << "Lens=" << lens << "; use thread_num=" << thread_num << "; max_thread_num: " << max_thread_num;
   std::vector<std::thread> threads;
+  if (thread_num < 1) {
+    MS_LOG(ERROR) << "Invalid value: thread_num " << thread_num;
+    return;
+  }
   threads.reserve(thread_num);
   size_t start = 0;
   size_t once_compute_size = (lens + thread_num - 1) / thread_num;
-  if (thread_num < 1 || once_compute_size < 1) {
-    MS_LOG(ERROR) << "Invalid value: thread_num " << thread_num << "; once_compute_size " << once_compute_size;
+  if (once_compute_size < 1) {
+    MS_LOG(ERROR) << "Invalid value: once_compute_size " << once_compute_size;
     return;
   }
   while (start < lens) {
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/arithmetic_self_cpu_kernel.cc b/mindspore/ccsrc/backend/kernel_compiler/cpu/arithmetic_self_cpu_kernel.cc
index c501a9bc3d..fe0f3f9833 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/arithmetic_self_cpu_kernel.cc
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/arithmetic_self_cpu_kernel.cc
@@ -72,11 +72,15 @@ void ArithmeticSelfCPUKernel::LaunchKernel(const std::vector<AddressPtr> &inputs
   size_t thread_num = lens < 128 * max_thread_num ? std::ceil(lens / 128.0) : max_thread_num;
   MS_LOG(INFO) << "Lens=" << lens << "; use thread_num=" << thread_num << "; max_thread_num: " << max_thread_num;
   std::vector<std::thread> threads;
+  if (thread_num < 1) {
+    MS_LOG(ERROR) << "Invalid value: thread_num " << thread_num;
+    return;
+  }
   threads.reserve(thread_num);
   size_t start = 0;
   size_t once_compute_size = (lens + thread_num - 1) / thread_num;
-  if (thread_num < 1 || once_compute_size < 1) {
-    MS_LOG(ERROR) << "Invalid value: thread_num " << thread_num << "; once_compute_size " << once_compute_size;
+  if (once_compute_size < 1) {
+    MS_LOG(ERROR) << "Invalid value: once_compute_size " << once_compute_size;
     return;
   }
   while (start < lens) {
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/cast_cpu_kernel.cc b/mindspore/ccsrc/backend/kernel_compiler/cpu/cast_cpu_kernel.cc
index 8de86f2d0b..d3f2d22b31 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/cast_cpu_kernel.cc
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/cast_cpu_kernel.cc
@@ -40,11 +40,15 @@ void LaunchCast(const std::vector<kernel::AddressPtr> &inputs, const std::vector
   size_t thread_num = lens < 128 * max_thread_num ? std::ceil(lens / 128.0) : max_thread_num;
   MS_LOG(INFO) << "Lens=" << lens << "; use thread_num=" << thread_num << "; max_thread_num: " << max_thread_num;
   std::vector<std::thread> threads;
+  if (thread_num < 1) {
+    MS_LOG(ERROR) << "Invalid value: thread_num " << thread_num;
+    return;
+  }
   threads.reserve(thread_num);
   size_t start = 0;
   size_t once_compute_size = (lens + thread_num - 1) / thread_num;
-  if (thread_num < 1 || once_compute_size < 1) {
-    MS_LOG(ERROR) << "Invalid value: thread_num " << thread_num << "; once_compute_size " << once_compute_size;
+  if (once_compute_size < 1) {
+    MS_LOG(ERROR) << "Invalid value: once_compute_size " << once_compute_size;
     return;
   }
   while (start < lens) {
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/eltwise_grad_cpu_kernel.cc b/mindspore/ccsrc/backend/kernel_compiler/cpu/eltwise_grad_cpu_kernel.cc
index bdeb9cca0c..a8e53d9380 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/eltwise_grad_cpu_kernel.cc
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/eltwise_grad_cpu_kernel.cc
@@ -146,11 +146,15 @@ void EltWiseGradCPUKernel::LaunchKernel(const std::vector<AddressPtr> &inputs, c
   size_t thread_num = lens < 128 * max_thread_num ? std::ceil(lens / 128.0) : max_thread_num;
   MS_LOG(INFO) << "Lens=" << lens << "; use thread_num=" << thread_num << "; max_thread_num: " << max_thread_num;
   std::vector<std::thread> threads;
+  if (thread_num < 1) {
+    MS_LOG(ERROR) << "Invalid value: thread_num " << thread_num;
+    return;
+  }
   threads.reserve(thread_num);
   size_t start = 0;
   size_t once_compute_size = (lens + thread_num - 1) / thread_num;
-  if (thread_num < 1 || once_compute_size < 1) {
-    MS_LOG(ERROR) << "Invalid value: thread_num " << thread_num << "; once_compute_size " << once_compute_size;
+  if (once_compute_size < 1) {
+    MS_LOG(ERROR) << "Invalid value: once_compute_size " << once_compute_size;
     return;
   }
   while (start < lens) {
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/pooling_grad_cpu_kernel.cc b/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/pooling_grad_cpu_kernel.cc
index 37c0cc272a..3a6e2dd8ee 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/pooling_grad_cpu_kernel.cc
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/pooling_grad_cpu_kernel.cc
@@ -83,7 +83,7 @@ void PoolingGradCPUKernel::ChannelPoolingGrad(const float *input, const float *d
   size_t diff_index = 0;
   for (size_t h = 0; h < dst_shape_[2]; ++h) {
     box[0].first = IntToSize(std::max(h_start, 0));
-    box[0].second = IntToSize(std::min(h_start + SizeToInt(kernel_size_[1]), src_height));
+    box[0].second = IntToSize(std::min(h_start + SizeToInt(kernel_size_[0]), src_height));
     for (size_t w = 0; w < src_shape_[3]; ++w) {
       row_max_pair[w].first = 0;
       row_max_pair[w].second = 0;
@@ -91,7 +91,7 @@ void PoolingGradCPUKernel::ChannelPoolingGrad(const float *input, const float *d
     int w_start = -padding_l_[1];
     for (size_t w = 0; w < dst_shape_[3]; ++w) {
       box[1].first = IntToSize(std::max(w_start, 0));
-      box[1].second = IntToSize(std::min(w_start + SizeToInt(kernel_size_[0]), src_width));
+      box[1].second = IntToSize(std::min(w_start + SizeToInt(kernel_size_[1]), src_width));
       RowPoolingGrad(input, output, diff[diff_index], box, &row_max_pair);
       diff_index += 1;
       w_start += stride_;