diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h b/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h index b1bc594e4c..e24e481f46 100644 --- a/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h +++ b/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h @@ -50,7 +50,7 @@ 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/F32. + * and an optional 4th dimension for batch of inputs. Data types supported: QS8/QS16/FP16/F32. * @param[in] input_squared Source with each element has been squared. 3 lower dims represent a single input with dimensions [width, height, IFM], * Data type supported: same as @p input * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input @@ -86,7 +86,7 @@ private: * * @param[in] window Region on which to execute the kernel. */ - template <unsigned int dim, bool do_2D_norm> + template <DataType dt, unsigned int dim, bool do_2D_norm> void normalize_fixed_point(const Window &window); /** Common signature for all the specialised normalization functions * |