diff --git a/arm_compute/graph/LayerDescriptors.h b/arm_compute/graph/LayerDescriptors.h
index 7909932..f52beab 100644
--- a/arm_compute/graph/LayerDescriptors.h
+++ b/arm_compute/graph/LayerDescriptors.h
@@ -32,7 +32,7 @@
 {
 namespace descriptors
 {
-/** Common node parameters */
+/** Concatenate layer descriptor */
 struct ConcatLayerDescriptor
 {
     /** Default constructor */
diff --git a/arm_compute/graph/Utils.h b/arm_compute/graph/Utils.h
index 4ffccec..2fa2f3b 100644
--- a/arm_compute/graph/Utils.h
+++ b/arm_compute/graph/Utils.h
@@ -110,12 +110,12 @@
 size_t get_dimension_size(const TensorDescriptor &descriptor, const DataLayoutDimension data_layout_dimension);
 /** Get index of a tensor's given dimension depending on its layout
  *
- * @param[in] descriptor            Descriptor
+ * @param[in] data_layout           Data layout of the tensor
  * @param[in] data_layout_dimension Tensor data layout dimension
  *
  * @return Idx of given dimension
  */
-size_t get_dimension_idx(const TensorDescriptor &descriptor, const DataLayoutDimension data_layout_dimension);
+size_t get_dimension_idx(DataLayout data_layout, const DataLayoutDimension data_layout_dimension);
 /** Get the list of driving nodes of a given node
  *
  * @param[in] node Node to find the driving node of
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h
index e05f4bc..f6e6286 100644
--- a/arm_compute/graph/backends/FunctionHelpers.h
+++ b/arm_compute/graph/backends/FunctionHelpers.h
@@ -28,6 +28,7 @@
 #include "arm_compute/graph/Tensor.h"
 #include "arm_compute/graph/TypePrinter.h"
 #include "arm_compute/graph/Types.h"
+#include "arm_compute/graph/Utils.h"
 #include "arm_compute/graph/backends/FusedConvolutionBatchNormalizationFunction.h"
 #include "arm_compute/graph/backends/Utils.h"
 #include "arm_compute/graph/nodes/Nodes.h"
@@ -321,7 +322,8 @@
         inputs.push_back(get_backing_tensor<TargetInfo>(node.input(i)));
     }
     typename TargetInfo::TensorType *output      = get_backing_tensor<TargetInfo>(node.output(0));
-    const DataLayoutDimension        concat_axis = node.concatenation_axis();
+    const DataLayout                 data_layout = node.output(0) != nullptr ? node.output(0)->desc().layout : DataLayout::UNKNOWN;
+    const size_t                     concat_axis = get_dimension_idx(data_layout, node.concatenation_axis());
 
     // Create and configure function
     auto func = support::cpp14::make_unique<ConcatenateLayerFunction>();
diff --git a/arm_compute/runtime/CL/functions/CLConcatenateLayer.h b/arm_compute/runtime/CL/functions/CLConcatenateLayer.h
index 5cf09c8..d85a445 100644
--- a/arm_compute/runtime/CL/functions/CLConcatenateLayer.h
+++ b/arm_compute/runtime/CL/functions/CLConcatenateLayer.h
@@ -59,7 +59,7 @@
      * @param[out]    output        Output tensor. Data types supported: Same as @p input.
      * @param[in]     axis          Concatenation axis. Supported underlying concatenation axis are 0, 1 and 2.
      */
-    void configure(const std::vector<ICLTensor *> &inputs_vector, ICLTensor *output, DataLayoutDimension axis);
+    void configure(const std::vector<ICLTensor *> &inputs_vector, ICLTensor *output, size_t axis);
     /** Static function to check if given info will lead to a valid configuration of @ref CLConcatenateLayer
      *
      * @note Input and output tensor dimensions preconditions defer depending on the concatenation axis.
@@ -71,7 +71,7 @@
      *
      * @return a status
      */
-    static Status validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output, DataLayoutDimension axis);
+    static Status validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis);
 
     // Inherited methods overridden:
     void run() override;
@@ -81,5 +81,5 @@
     unsigned int                            _num_inputs;
     unsigned int                            _axis;
 };
-}
+} // namespace arm_compute
 #endif /* __ARM_COMPUTE_CLCONCATENATELAYER_H__ */
diff --git a/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h b/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h
index 7dfbcf9..f8cda32 100644
--- a/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h
@@ -59,7 +59,7 @@
      * @param[out]    output        Output tensor. Data types supported: Same as @p input.
      * @param[in]     axis          Concatenation axis. Supported underlying concatenation axis are 0, 1 and 2.
      */
-    void configure(const std::vector<ITensor *> &inputs_vector, ITensor *output, DataLayoutDimension axis);
+    void configure(const std::vector<ITensor *> &inputs_vector, ITensor *output, size_t axis);
     /** Static function to check if given info will lead to a valid configuration of @ref NEConcatenateLayer
      *
      * @note Input and output tensor dimensions preconditions defer depending on the concatenation axis.
@@ -71,7 +71,7 @@
      *
      * @return a status
      */
-    static Status validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output, DataLayoutDimension axis);
+    static Status validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis);
 
     // Inherited methods overridden:
     void run() override;
diff --git a/arm_compute/runtime/NEON/functions/NEDepthConcatenateLayer.h b/arm_compute/runtime/NEON/functions/NEDepthConcatenateLayer.h
index da38151..e2f2c4c 100644
--- a/arm_compute/runtime/NEON/functions/NEDepthConcatenateLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEDepthConcatenateLayer.h
@@ -89,5 +89,5 @@
     std::unique_ptr<NEFillBorderKernel[]>            _border_handlers_vector;
     unsigned int                                     _num_inputs;
 };
-}
+} // namespace arm_compute
 #endif /* __ARM_COMPUTE_NEDEPTHCONCATENATE_H__ */