Fix the crash issue when scale or bias was null-pointer. (#21284) (#21444)

* Fix the crash issue when scale or bias was null-pointer.

* Add the error message for passing CI.

test=release/1.6

paddle/fluid/operators/layer_norm_op.h

@@ -224,17 +224,35 @@ class LayerNormKernel : public framework::OpKernel<T> {
           ctx, &out, bias, /*axis*/ 1, AddFunctor<T>(), &out);
     }
 #else
-    PADDLE_ENFORCE_EQ(mean->numel(), left);
-    PADDLE_ENFORCE_EQ(var->numel(), left);
-    PADDLE_ENFORCE_EQ(scale->numel(), right);
-    PADDLE_ENFORCE_EQ(bias->numel(), right);
+    PADDLE_ENFORCE_EQ(mean->numel(), left,
+                      platform::errors::InvalidArgument(
+                          "mean's length (%d) is not equal with expected (%d).",
+                          mean->numel(), left));
+    PADDLE_ENFORCE_EQ(var->numel(), left,
+                      platform::errors::InvalidArgument(
+                          "var's length (%d) is not equal with expected (%d).",
+                          var->numel(), left));
+    if (scale) {
+      PADDLE_ENFORCE_EQ(
+          scale->numel(), right,
+          platform::errors::InvalidArgument(
+              "scale's length (%d) is not equal with expected (%d).",
+              scale->numel(), right));
+    }
+    if (bias) {
+      PADDLE_ENFORCE_EQ(
+          bias->numel(), right,
+          platform::errors::InvalidArgument(
+              "bias's length (%d) is not equal with expected (%d).",
+              bias->numel(), right));
+    }
 
     auto ker =
         jit::KernelFuncs<jit::LayerNormTuple<T>, platform::CPUPlace>::Cache()
             .At(right);
     ker(x.data<T>(), out.data<T>(), mean->data<T>(), var->data<T>(),
-        scale->data<T>(), bias->data<T>(), static_cast<int>(left),
-        static_cast<const float>(epsilon), right);
+        scale ? scale->data<T>() : nullptr, bias ? bias->data<T>() : nullptr,
+        static_cast<int>(left), static_cast<const float>(epsilon), right);
 #endif
   }
 };