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/runtime/NEON/functions/NEDirectConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h
index ae384ff..a4a55d1 100644
--- a/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h
@@ -54,11 +54,11 @@
/** Set the input, weights, biases and output tensors.
*
* @note: DirectConvolution only works in the following configurations:
- * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = QS8/QS16/F16/F32
- * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = QS8/F16/F32
+ * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32
+ * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32
* 5x5 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F32
*
- * @param[in, out] input Input tensor. Data types supported: QS8/QS16/F16/F32.
+ * @param[in, out] input Input tensor. Data types supported: F16/F32.
* @param[in] weights Set of kernels to convolve the input volume.
* Supported sizes: 1x1, 3x3 and 5x5.
* The 3rd dimension must be the same as the input's volume 3rd dimension.
@@ -73,11 +73,11 @@
/** Static function to check if given info will lead to a valid configuration of @ref NEDirectConvolutionLayer
*
* @note: DirectConvolution only works in the following configurations:
- * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = QS8/QS16/F16/F32
- * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = QS8/F16/F32
+ * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32
+ * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32
* 5x5 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F32
*
- * @param[in] input Input tensor. Data types supported: QS8/QS16/F16/F32.
+ * @param[in] input Input tensor. Data types supported: F16/F32.
* @param[in] weights Set of kernels to convolve the input volume.
* Supported sizes: 1x1, 3x3 and 5x5.
* The 3rd dimension must be the same as the input's volume 3rd dimension.
@@ -104,7 +104,6 @@
NEActivationLayer _activationlayer_function;
Tensor _accumulator;
bool _has_bias;
- bool _is_fixed_point;
bool _is_activationlayer_enabled;
unsigned int _dim_split;
};