diff --git a/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h b/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h
index 7cf5f64..7c35c2a 100644
--- a/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h
+++ b/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h
@@ -52,13 +52,13 @@
     /** Initialize the function's source, destination, conv and border_size.
      *
      * @param[in, out] input     Source tensor. Data type supported: F32. (Written to only for border filling).
-     * @param[out]     output    Destination tensor. Data type supported: same as @p input.
      * @param[in]      weights   Weights tensor. A 3D tensor with shape [3, 3, IFM]. Data type supported: Same as @p input.
      * @param[in]      biases    (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed.
      *                           Data type supported: Same as @p input.
+     * @param[out]     output    Destination tensor. Data type supported: same as @p input.
      * @param[in]      conv_info Padding and stride information to use for the convolution.
      */
-    void configure(ICLTensor *input, ICLTensor *output, const ICLTensor *weights, const ICLTensor *biases, const PadStrideInfo &conv_info);
+    void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info);
 
     // Inherited methods overriden:
     void run() override;
@@ -84,13 +84,13 @@
     /** Initialize the function's source, destination, weights and convolution information.
      *
      * @param[in, out] input     Source tensor. Data type supported: F32. (Written to only for border filling).
-     * @param[out]     output    Destination tensor. Data type supported: same as @p input.
      * @param[in]      weights   Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input.
      * @param[in]      biases    (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed.
      *                           Data type supported: Same as @p input.
+     * @param[out]     output    Destination tensor. Data type supported: same as @p input.
      * @param[in]      conv_info Padding and stride information to use for the convolution.
      */
-    void configure(ICLTensor *input, ICLTensor *output, const ICLTensor *weights, const ICLTensor *biases, const PadStrideInfo &conv_info);
+    void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info);
 
     // Inherited methods overriden:
     void run() override;
diff --git a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h
index f1eae9a..acf66f8 100644
--- a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h
+++ b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h
@@ -51,13 +51,13 @@
     /** Initialize the function's source, destination, kernels and border_size.
      *
      * @param[in, out] input     Source tensor. Data type supported: F32. (Written to only for border filling).
-     * @param[out]     output    Destination tensor. Data type supported: same as @p input.
      * @param[in]      weights   Weights tensor. These are 3D tensors with shape [3, 3, IFM]. Data type supported: Same as @p input.
      * @param[in]      biases    (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed.
      *                           Data type supported: Same as @p input.
+     * @param[out]     output    Destination tensor. Data type supported: same as @p input.
      * @param[in]      conv_info Padding and stride information to use for the convolution.
      */
-    void configure(ITensor *input, ITensor *output, const ITensor *weights, const ITensor *biases, const PadStrideInfo &conv_info);
+    void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info);
 
     // Inherited methods overriden:
     void run() override;