diff --git a/paddle/fluid/operators/slice_op.cc b/paddle/fluid/operators/slice_op.cc
old mode 100644
new mode 100755
index 44a9bd24032ab5bd8320c6c6044071283de89422..6609f6e926362fcaac1d7a2dfb2101c1107b6e78
--- a/paddle/fluid/operators/slice_op.cc
+++ b/paddle/fluid/operators/slice_op.cc
@@ -155,8 +155,10 @@ class SliceOp : public framework::OperatorWithKernel {
 #ifdef PADDLE_WITH_MKLDNN
       auto input_data_type =
           framework::OperatorWithKernel::IndicateVarDataType(ctx, "Input");
-
-      if (this->CanMKLDNNBeUsed(ctx, input_data_type)) {
+      auto vec_dims = phi::vectorize(in_tensor.dims());
+      bool all_zero_dims = std::all_of(
+          vec_dims.cbegin(), vec_dims.cend(), [](int64_t i) { return i == 0; });
+      if (!all_zero_dims && this->CanMKLDNNBeUsed(ctx, input_data_type)) {
         // OneDNN uses blocking format, which cannot be always supported with
         // reorders, because if blocked dimension is not divisible by 8 or
         // 16(depending on which blocking format is used) submemory cannot be