commit 70d33bdfd36e1b44b0573189dca67ed7c63dd59e
author Sang-Hoon Park <sang-hoon.park@arm.com> Wed Jan 08 16:29:15 2020 +0000
committer Michele Di Giorgio <michele.digiorgio@arm.com> Tue Jan 14 15:31:35 2020 +0000
tree 61873b03cdc8eb1cd3544a00d3cef4eefccd5b0f
parent 4715cf9da26c4e914b9528f736e77d6773285169

COMPMID-2755: update CLConvolutionLayer's doxygen and test for QASYMM8_SIGNED

Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Change-Id: Ida6ebd2c1ed46d038e13bfbea0306de660dd147b
Reviewed-on: https://review.mlplatform.org/c/2585
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>

arm_compute/runtime/CL/functions/CLConvolutionLayer.h

diff --git a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
index 66dc7af..b526954 100644
--- a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -77,7 +77,7 @@
      *
      * @param[in]  input            Source tensor. 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: QASYMM8/F16/F32.
+     *                              Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
      * @param[in]  weights          Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
      *                              Data type supported: Same as @p input or QASYMM8/QSYMM8_PER_CHANNEL when @p input is QASYMM8.
      * @param[in]  biases           Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
@@ -98,7 +98,7 @@
      *
      * @param[in] input            Source tensor. 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: QASYMM8/F16/F32.
+     *                             Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
      * @param[in] weights          Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
      *                             Data type supported: Same as @p input or QASYMM8/QSYMM8_PER_CHANNEL when @p input is QASYMM8.
      * @param[in] biases           Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported:Same as @p input.
@@ -121,7 +121,7 @@
      *
      * @param[in] input            Source tensor. 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: QASYMM8/F16/F32.
+     *                             Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
      * @param[in] weights          Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
      *                             Data type supported: Same as @p input or QASYMM8/QSYMM8_PER_CHANNEL when @p input is QASYMM8.
      * @param[in] output           Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.