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Diffstat (limited to 'arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h')
-rw-r--r--arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h b/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h
index 5418d31a0c..fd5042128f 100644
--- a/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h
@@ -50,7 +50,7 @@ public:
/** Set the input and output tensors.
*
* @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels].
- * Data types supported: F16/F32.
+ * Data types supported: QASYMM8/F16/F32.
* @param[out] output Destination tensor. Data type supported: same as @p input
* @param[in] mean Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input
* @param[in] std Standard deviation values tensor. 1 dimension with size equal to the number of input channels.
@@ -60,7 +60,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayerKernel
*
* @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels].
- * Data types supported: F16/F32.
+ * Data types supported: QASYMM8/F16/F32.
* @param[out] output Destination tensor info. Data type supported: same as @p input
* @param[in] mean Mean values tensor info. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input
* @param[in] std Standard deviation values tensor info. 1 dimension with size equal to the number of input channels.