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/NEDirectConvolutionLayerKernel.h b/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h
index f859f97..589725a 100644
--- a/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h
+++ b/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h
@@ -57,24 +57,24 @@
* 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3
*
* @param[in] input The input tensor to convolve. 3 lower dimensions represent a single input [width, height, IFM],
- * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QS16/F16/F32.
+ * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: F16/F32.
* @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
* The 3rd dimension must be the same as the input's volume 3rd dimension.
* Data type supported:Same as @p input.
* @param[out] output Output tensor.
- * The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: QS16/QS32/F16/F32
+ * The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: F16/F32
* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
*/
void configure(const ITensor *input, const ITensor *weights, ITensor *output, const PadStrideInfo &conv_info);
/** Static function to check if given info will lead to a valid configuration of @ref NEDirectConvolutionLayerKernel
*
* @param[in] input The input tensor to convolve. 3 lower dimensions represent a single input [width, height, IFM],
- * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QS16/F16/F32.
+ * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: F16/F32.
* @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
* The 3rd dimension must be the same as the input's volume 3rd dimension.
* Data type supported:Same as @p input.
* @param[in] output Output tensor.
- * The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: QS16/QS32/F16/F32
+ * The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: QS32/F16/F32
* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
*
* @return a status