2 files changed, 3 insertions, 3 deletions
diff --git a/arm_compute/runtime/CL/functions/CLQuantizationLayer.h b/arm_compute/runtime/CL/functions/CLQuantizationLayer.h
index 81dcfad515..104f8e2eb2 100644
--- a/arm_compute/runtime/CL/functions/CLQuantizationLayer.h
+++ b/arm_compute/runtime/CL/functions/CLQuantizationLayer.h
@@ -42,7 +42,7 @@ class CLQuantizationLayer : public ICLSimpleFunction
 public:
     /** Set the input and output tensors.
      *
-     * @param[in]  input  Source tensor. Data types supported: F16/32.
+     * @param[in]  input  Source tensor. The dimensions over the third will be interpreted as batches. Data types supported: F16/32.
      * @param[out] output Destination tensor with the same dimensions of input. Output data type must be QASYMM8.
      */
     void configure(const ICLTensor *input, ICLTensor *output);
diff --git a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h
index 9ca199d1ee..5e4b4f754c 100644
--- a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h
@@ -48,13 +48,13 @@ public:
     NEQuantizationLayer() = default;
     /** Set the input and output tensors.
      *
-     * @param[in]  input  Source tensor. The dimensions over the third will be interpreted as batches. Data types supported: F32
+     * @param[in]  input  Source tensor. The dimensions over the third will be interpreted as batches. Data types supported: F32/F16.
      * @param[out] output Destination tensor with the same dimensions of input. Data types supported: QASYMM8
      */
     void configure(const ITensor *input, ITensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref NEQuantizationLayer
      *
-     * @param[in] input  Input tensor info. The dimensions over the third will be interpreted as batches. Data types supported: F32.
+     * @param[in] input  Input tensor info. The dimensions over the third will be interpreted as batches. Data types supported: F32/F16.
      * @param[in] output Output tensor info. Data types supported: QASYMM8
      *
      * @return a status