diff --git a/tensorflow/core/kernels/mkl/mkl_conv_ops.cc b/tensorflow/core/kernels/mkl/mkl_conv_ops.cc
index b33a695bde7..30bdcf508b8 100644
--- a/tensorflow/core/kernels/mkl/mkl_conv_ops.cc
+++ b/tensorflow/core/kernels/mkl/mkl_conv_ops.cc
@@ -581,7 +581,7 @@ class MklConvOp : public OpKernel {
                               : TFDataFormatToMklDnn3DDataFormat(data_format_);
 
       auto mkl_fmt_tag = MklTensorFormatToMklDnnDataFormat(tf_fmt);
-      // NOTE: 'mkl_fmt_tag` will be `format_tag::undef` for ReLU
+      // NOTE: `mkl_fmt_tag` will be `format_tag::undef` for ReLU
       OP_REQUIRES(context, mkl_fmt_tag != memory::format_tag::undef,
                   errors::InvalidArgument("Invalid data format"));
 
@@ -873,8 +873,7 @@ class MklConvOp : public OpKernel {
       if (!native_format && add_mkl_shape == *output_mkl_shape &&
           ForwardMklTensorInToOutWithMklShape(context, kInputIndex_Add,
                                               kOutputIndex_Dst, output_tensor,
-                                              add_mkl_shape, false) &&
-          !native_format) {
+                                              add_mkl_shape, false)) {
         return;
       } else {
         AllocateOutputSetMklShape(context, kOutputIndex_Dst, output_tensor,
@@ -1127,7 +1126,7 @@ class MklConvOp : public OpKernel {
     const Tensor& cached_filter_md =
         *cached_filter_md_ptensor_.AccessTensor(context);
 
-    // Check if the memory descriptor of the cached weights is same as
+    // Check if the memory descriptor of the cached weights is the same as
     // filter_md. If so, we can use the cached weights; otherwise
     // return nullptr.
     if (filter_md == *static_cast<memory::desc*>(cached_filter_md.data())) {
@@ -1701,17 +1700,18 @@ class MklQuantizedConv2DSumReluOp
       // if summand_type is also DT_QUINT8 as the scale_output,
       // the scaling factor of 255.0f cancels each other and thus is avoided.
       // If it is not then  it is DT_INT8 and is scaled appropriately.
-      if (summand_type == DT_QUINT8)
+      if (summand_type == DT_QUINT8) { 
         params.post_op_params.push_back({"sum",
                                          mkldnn::algorithm::undef,
                                          {scale_summand / scale_output},
                                          ""});
-      else
+      } else {
         params.post_op_params.push_back(
             {"sum",
              mkldnn::algorithm::undef,
              {255.0f * scale_summand / (scale_output * 127.0f)},
              ""});
+      }
     } else {
       params.post_op_params.push_back(
           {"sum", mkldnn::algorithm::undef, {1.0}, ""});