diff --git a/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h
index 4363224..31683c5 100644
--- a/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h
@@ -47,7 +47,7 @@
      *
      * @param[in]  input     Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
      *                       while every optional dimension from 4 and above represent a batch of inputs.
-     *                       Data types supported: QASYMM8/QS8/QS16/F16/F32.
+     *                       Data types supported: QASYMM8/F16/F32.
      * @param[in]  weights   Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input.
      * @param[in]  biases    Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
      *                       Data type supported: Should match @p input data type, except for input of QASYMM8 type where biases should be of S32 type.
@@ -61,7 +61,7 @@
      *
      * @param[in] input     Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
      *                      while every optional dimension from 4 and above represent a batch of inputs.
-     *                      Data types supported: QS8/QASYMM8/QS16/F16/F32.
+     *                      Data types supported: QASYMM8/F16/F32.
      * @param[in] weights   Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input.
      * @param[in] biases    Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported:Same as @p input.
      * @param[in] output    Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.