diff --git a/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
index a362a29..e587cb4 100644
--- a/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
@@ -37,6 +37,7 @@
 #include "arm_compute/runtime/NEON/functions/NEGEMM.h"
 #include "arm_compute/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.h"
 #include "arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h"
+#include "arm_compute/runtime/NEON/functions/NEReshapeLayer.h"
 #include "arm_compute/runtime/Tensor.h"
 
 #include <memory>
@@ -84,7 +85,7 @@
  * -# @ref NEGEMMLowpMatrixMultiplyCore (if the data type is QASYMM8)
  * -# @ref NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint (if the data type is QASYMM8)
  * -# @ref NEArithmeticAdditionKernel (if biases != nullptr and we have a 1x1 convolution with the NHWC data layout)
- * -# @ref NECol2ImKernel
+ * -# @ref NECol2ImKernel or @ref NEReshapeLayer (if NHWC and GEMM3D is not supported)
  *
  */
 class NEGEMMConvolutionLayer : public IFunction
@@ -165,6 +166,15 @@
      * @return a status
      */
     static Status validate_mm(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *output, int gemm_3d_depth = 1, bool skip_im2col = false);
+    /** Static function to check if GEMM3D is supported in @ref NEGEMM or in @ref NEGEMMLowpMatrixMultiplyCore
+     *
+     * @param[in] data_type     Input data type
+     * @param[in] gemm_3d_depth Depth of GEMM 3D
+     * @param[in] skip_im2col   Flag which specifies if im2col has to be skipped. i.e. 1x1 convolution with NHWC data layout
+     *
+     * @return a status
+     */
+    static Status validate_gemm3d(DataType data_type, int gemm_3d_depth, bool skip_im2col);
 
 private:
     MemoryGroup                                         _memory_group;
@@ -176,6 +186,7 @@
     NECol2ImKernel                                      _col2im_kernel;
     NEActivationLayer                                   _activationlayer_function;
     NEArithmeticAdditionKernel                          _add_bias_kernel;
+    NEReshapeLayer                                      _reshape_layer;
 
     const ITensor *_original_weights;