1 files changed, 10 insertions, 5 deletions
diff --git a/src/runtime/CL/functions/CLL2NormalizeLayer.cpp b/src/runtime/CL/functions/CLL2NormalizeLayer.cpp
index 64aac269cd..4fe1d9b20b 100644
--- a/src/runtime/CL/functions/CLL2NormalizeLayer.cpp
+++ b/src/runtime/CL/functions/CLL2NormalizeLayer.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -29,10 +29,11 @@
 #include "arm_compute/core/TensorInfo.h"
 #include "arm_compute/core/Validate.h"
 #include "arm_compute/runtime/CL/CLScheduler.h"
+
+#include "src/common/utils/Log.h"
 #include "src/core/CL/kernels/CLFillBorderKernel.h"
 #include "src/core/CL/kernels/CLL2NormalizeLayerKernel.h"
 #include "src/core/CL/kernels/CLReductionOperationKernel.h"
-#include "support/MemorySupport.h"
 
 namespace arm_compute
 {
@@ -44,7 +45,7 @@ constexpr int max_input_tensor_dim = 3;
 CLL2NormalizeLayer::CLL2NormalizeLayer(std::shared_ptr<IMemoryManager> memory_manager)
     : _memory_group(std::move(memory_manager)),
       _reduce_func(),
-      _normalize_kernel(support::cpp14::make_unique<CLL2NormalizeLayerKernel>()),
+      _normalize_kernel(std::make_unique<CLL2NormalizeLayerKernel>()),
       _sumsq()
 {
 }
@@ -56,8 +57,11 @@ void CLL2NormalizeLayer::configure(ICLTensor *input, ICLTensor *output, int axis
     configure(CLKernelLibrary::get().get_compile_context(), input, output, axis, epsilon);
 }
 
-void CLL2NormalizeLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, int axis, float epsilon)
+void CLL2NormalizeLayer::configure(
+    const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, int axis, float epsilon)
 {
+    ARM_COMPUTE_LOG_PARAMS(input, output, axis, epsilon);
+
     // Reset auxiliary tensor
     _sumsq.allocator()->init(TensorInfo());
 
@@ -83,7 +87,8 @@ Status CLL2NormalizeLayer::validate(const ITensorInfo *input, const ITensorInfo
     sum_sq.set_tensor_shape(shape);
 
     const uint32_t actual_axis = wrap_around(axis, max_input_tensor_dim);
-    ARM_COMPUTE_RETURN_ON_ERROR(CLReductionOperation::validate(input, &sum_sq, actual_axis, ReductionOperation::SUM_SQUARE));
+    ARM_COMPUTE_RETURN_ON_ERROR(
+        CLReductionOperation::validate(input, &sum_sq, actual_axis, ReductionOperation::SUM_SQUARE));
 
     // Reduce shape on axis
     shape.set(actual_axis, 1);