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Diffstat (limited to 'arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h')
-rw-r--r--arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
index ef00e59e5c..f2d37a781c 100644
--- a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
@@ -48,7 +48,7 @@ public:
/** Set the input and output tensors.
*
* @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM],
- * and an optional 4th dimension for batch of inputs. Data types supported: QS8/QS16/F16/F32.
+ * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32.
* @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input.
* @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters.
*/
@@ -56,7 +56,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref CLNormalizationLayerKernel
*
* @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM],
- * and an optional 4th dimension for batch of inputs. Data types supported: QS8/QS16/F16/F32.
+ * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32.
* @param[in] output Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input.
* @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters.
*