COMPMID-970 : Remove QS8 / QS16 support
Removed fixed point related code.
Change-Id: I487acf138dace3b0450e0d72ca7071eaec254566
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/137678
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
diff --git a/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h b/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h
index 8c24556..41ea914 100644
--- a/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h
+++ b/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h
@@ -55,11 +55,10 @@
*
* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
- * For QS8/QS16 scale = 1 is the only supported value.
*
- * @param[in] input1 An input tensor. Data types supported: U8/QS8/QS16/S16/F16/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/F16 (only if @p input1 is F16), 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/F16 (only if @p input1 is F16), F32 (only if both inputs are F32).
+ * @param[in] input1 An input tensor. Data types supported: U8/S16/F16/F32
+ * @param[in] input2 An input tensor. Data types supported: U8, S16/F16 (only if @p input1 is F16), F32 (only if @p input1 is F32).
+ * @param[out] output The output tensor. Data types supported: U8 (Only if both inputs are U8), S16/F16 (only if @p input1 is F16), F32 (only if both inputs are F32).
* @param[in] scale Scale to apply after multiplication.
* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
* @param[in] overflow_policy Overflow policy.
@@ -70,11 +69,10 @@
*
* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
- * For QS8/QS16 scale = 1 is the only supported value.
*
- * @param[in] input1 An input tensor. Data types supported: U8/QS8/QS16/S16/F16/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/F16 (only if @p input1 is F16), F32 (only if @p input1 is F32).
- * @param[in] 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/F16 (only if @p input1 is F16), F32 (only if both inputs are F32).
+ * @param[in] input1 An input tensor. Data types supported: U8/S16/F16/F32
+ * @param[in] input2 An input tensor. Data types supported: U8, S16/F16 (only if @p input1 is F16), F32 (only if @p input1 is F32).
+ * @param[in] output The output tensor. Data types supported: U8 (Only if both inputs are U8), S16/F16 (only if @p input1 is F16), F32 (only if both inputs are F32).
* @param[in] scale Scale to apply after multiplication.
* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
* @param[in] overflow_policy Overflow policy.
@@ -96,15 +94,6 @@
* @param[out] output_ptr Pointer to the output tensor.
*/
using MulFunctionInt = void(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, int scale);
- /** Common signature for all the specialised multiplication functions with fixed-point values
- *
- * @param[in] input1_ptr Pointer to the first input tensor.
- * @param[in] input2_ptr Pointer to the second input tensor.
- * @param[in] scale Scaling factor.
- * @param[in] fixed_point_position Fixed-point position that expresses the number of bits for the fractional part of the number.
- * @param[out] output_ptr Pointer to the output tensor.
- */
- using MulFunctionQInt = void(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, int scale, int fixed_point_position);
/** Common signature for all the specialised multiplication functions with float scaling factor
*
* @param[in] input1_ptr Pointer to the first input tensor.
@@ -115,7 +104,6 @@
MulFunctionFloat *_func_float;
MulFunctionInt *_func_int;
- MulFunctionQInt *_func_q_int;
private:
const ITensor *_input1;