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Diffstat (limited to 'arm_compute/core/NEON/kernels/NEArithmeticSubtractionKernel.h')
-rw-r--r--arm_compute/core/NEON/kernels/NEArithmeticSubtractionKernel.h12
1 files changed, 6 insertions, 6 deletions
diff --git a/arm_compute/core/NEON/kernels/NEArithmeticSubtractionKernel.h b/arm_compute/core/NEON/kernels/NEArithmeticSubtractionKernel.h
index 0eb9c23686..6f88d2757a 100644
--- a/arm_compute/core/NEON/kernels/NEArithmeticSubtractionKernel.h
+++ b/arm_compute/core/NEON/kernels/NEArithmeticSubtractionKernel.h
@@ -50,9 +50,9 @@ public:
/** Initialise the kernel's input, output and border mode.
*
- * @param[in] input1 An input tensor. Data types supported: U8/S16/F32
- * @param[in] input2 An input tensor. Data types supported: U8/S16/F32 (only if @p input1 is F32).
- * @param[out] output The output tensor. Data types supported: U8 (Only if both inputs are U8), S16/F32 (only if both inputs are F32).
+ * @param[in] input1 An input tensor. Data types supported: U8/QS8/QS16/S16/F32
+ * @param[in] input2 An input tensor. Data types supported: U8, QS8 (only if @p input1 is QS8),QS16 (only if @p input1 is QS16), S16/F32 (only if @p input1 is F32).
+ * @param[out] output The output tensor. Data types supported: U8 (Only if both inputs are U8), QS8 (only if both inputs are QS8), QS16 (only if both inputs are QS16), S16/F32 (only if both inputs are F32).
* @param[in] policy Overflow policy.
*/
void configure(const ITensor *input1, const ITensor *input2, ITensor *output, ConvertPolicy policy);
@@ -63,9 +63,9 @@ public:
private:
/** Common signature for all the specialised sub functions
*
- * @param[in] input1 An input tensor. Data types supported: U8, S16, F32.
- * @param[in] input2 An input tensor. Data types supported: U8, S16, F32 (only if @p input1 is F32).
- * @param[out] output The output tensor. Data types supported: U8 (Only if both inputs are U8), S16, F32 (only if both inputs are F32)
+ * @param[in] input1 An input tensor. Data types supported: U8/S16/F32
+ * @param[in] input2 An input tensor. Data types supported: U8/S16/F32 (only if @p input1 is F32).
+ * @param[out] output The output tensor. Data types supported: U8 (Only if both inputs are U8), S16/F32 (only if both inputs are F32).
* @param[in] window Region on which to execute the kernel.
*/
using SubFunction = void(const ITensor *input1, const ITensor *input2, ITensor *output, const Window &window);