diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/batch_norm_gard_cpu_kernel.cc b/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/batch_norm_grad_cpu_kernel.cc
similarity index 92%
rename from mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/batch_norm_gard_cpu_kernel.cc
rename to mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/batch_norm_grad_cpu_kernel.cc
index 71f2e7b45f7..f299558696e 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/batch_norm_gard_cpu_kernel.cc
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/batch_norm_grad_cpu_kernel.cc
@@ -13,8 +13,7 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-#include "backend/kernel_compiler/cpu/mkldnn/batch_norm_gard_cpu_kernel.h"
-
+#include "backend/kernel_compiler/cpu/mkldnn/batch_norm_grad_cpu_kernel.h"
 #include <string>
 #include "backend/kernel_compiler/cpu/mkldnn/mkl_kernel_engine.h"
 #include "runtime/device/cpu/cpu_device_address.h"
@@ -83,11 +82,13 @@ bool BatchNormGradCPUKernel::Launch(const std::vector<kernel::AddressPtr> &input
   }
   auto wksp_in = reinterpret_cast<float *>(workspace[0]->addr);
   auto scale_ret = memcpy_s(wksp_in, workspace[0]->size, inputs[2]->addr, inputs[2]->size);
+  if (scale_ret != 0) {
+    MS_LOG(EXCEPTION) << "Scale memcpy error!";
+  }
   auto max_size = workspace[0]->size - inputs[2]->size;
   auto bias_ret = memset_s(wksp_in + (inputs[2]->size / sizeof(float)), max_size, 0, max_size);
-  if (scale_ret != 0 && bias_ret != 0) {
-    MS_LOG(EXCEPTION) << "Memcpy_s error.";
-    return false;
+  if (bias_ret != 0) {
+    MS_LOG(EXCEPTION) << "Bias memset 0 error.";
   }
 
   SetArgumentHandle(DNNL_ARG_DIFF_DST, inputs[0]->addr);
@@ -101,11 +102,13 @@ bool BatchNormGradCPUKernel::Launch(const std::vector<kernel::AddressPtr> &input
 
   auto wksp_out = reinterpret_cast<float *>(workspace[1]->addr);
   auto diff_scale_ret = memcpy_s(outputs[1]->addr, outputs[1]->size, wksp_out, inputs[2]->size);
+  if (diff_scale_ret != 0) {
+    MS_LOG(EXCEPTION) << "Diff_scale memcpy to output[1] error.";
+  }
   auto diff_bias_ret =
     memcpy_s(outputs[2]->addr, outputs[2]->size, wksp_out + (outputs[1]->size / sizeof(float)), outputs[2]->size);
-  if (diff_scale_ret != 0 || diff_bias_ret != 0) {
-    MS_LOG(EXCEPTION) << "Memcpy_s error.";
-    return false;
+  if (diff_bias_ret != 0) {
+    MS_LOG(EXCEPTION) << "Diff_bias memcpy to  to output[2] error.";
   }
   return true;
 }
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/batch_norm_gard_cpu_kernel.h b/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/batch_norm_grad_cpu_kernel.h
similarity index 100%
rename from mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/batch_norm_gard_cpu_kernel.h
rename to mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/batch_norm_grad_cpu_kernel.h
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/conv2d_grad_filter_cpu_kernel.cc b/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/conv2d_grad_filter_cpu_kernel.cc
index 15781f6a071..8b322f29dbf 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/conv2d_grad_filter_cpu_kernel.cc
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/conv2d_grad_filter_cpu_kernel.cc
@@ -32,7 +32,7 @@ void Conv2dGradFilterCPUKernel::InitKernel(const CNodePtr &kernel_node) {
   }
   std::vector<size_t> kernel_size({weight_shape[2], weight_shape[3]});
   size_t group = LongToSize(AnfAlgo::GetNodeAttr<int64_t>(kernel_node, GROUP));
-  if (group != 1) {
+  if (group > 1) {
     if (src_shape[1] % group != 0) {
       MS_LOG(EXCEPTION) << "Conv2d channels should be divided by group!";
     }
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/conv2d_grad_input_cpu_kernel.cc b/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/conv2d_grad_input_cpu_kernel.cc
index c432f8dc477..a5c40b833b3 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/conv2d_grad_input_cpu_kernel.cc
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/conv2d_grad_input_cpu_kernel.cc
@@ -34,7 +34,7 @@ void Conv2dGradInputCPUKernel::InitKernel(const CNodePtr &kernel_node) {
   }
   std::vector<size_t> kernel_size({weight_shape[2], weight_shape[3]});
   size_t group = LongToSize(AnfAlgo::GetNodeAttr<int64_t>(kernel_node, GROUP));
-  if (group != 1) {
+  if (group > 1) {
     if (src_shape[1] % group != 0) {
       MS_LOG(EXCEPTION) << "Conv2d channels should be divided by group!";
     }
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/conv_cpu_kernel.cc b/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/conv_cpu_kernel.cc
index 798a55b0a60..8d0187465ac 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/conv_cpu_kernel.cc
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/mkldnn/conv_cpu_kernel.cc
@@ -42,7 +42,7 @@ void ConvCPUKernel::InitKernel(const CNodePtr &kernel_node) {
     kernel_size.emplace_back(weight_shape[i]);
   }
   size_t group = LongToSize(AnfAlgo::GetNodeAttr<int64_t>(kernel_node, GROUP));
-  if (group != 1) {
+  if (group > 1) {
     if (src_shape[1] % group != 0) {
       MS_LOG(EXCEPTION) << "Conv channels should be divided by group!";
     }