From 8481d833783589e70191c6388c93685b4fc4a0b8 Mon Sep 17 00:00:00 2001 From: Manuel Bottini Date: Tue, 10 Dec 2019 15:28:40 +0000 Subject: COMPMID-2753: Add support for QASYMM8_SIGNED in CL kernels/functions Change-Id: I7ed2d43f33458ba0571323f6fa9dc2e45fcd672a Signed-off-by: Manuel Bottini Reviewed-on: https://review.mlplatform.org/c/2516 Comments-Addressed: Arm Jenkins Reviewed-by: Michele Di Giorgio Tested-by: Arm Jenkins Reviewed-by: Georgios Pinitas --- arm_compute/core/CL/kernels/CLCol2ImKernel.h | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'arm_compute/core/CL/kernels/CLCol2ImKernel.h') diff --git a/arm_compute/core/CL/kernels/CLCol2ImKernel.h b/arm_compute/core/CL/kernels/CLCol2ImKernel.h index 8b3565bdb0..b22c666a6b 100644 --- a/arm_compute/core/CL/kernels/CLCol2ImKernel.h +++ b/arm_compute/core/CL/kernels/CLCol2ImKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2019 ARM Limited. + * Copyright (c) 2017-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -65,7 +65,7 @@ public: ~CLCol2ImKernel() = default; /** Set the input and output of the kernel. * - * @param[in] input The input tensor to convert. Data types supported: QASYMM8/F16/F32 + * @param[in] input The input tensor to convert. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32 * @param[out] output The output tensor. 3 lower dimensions represent a single output [width, height, OFM], * while the rest represent batch of outputs. Data types supported: Same as @p input. Data layout: NCHW * @param[in] convolved_dims Output convolved dimensions. @@ -74,7 +74,7 @@ public: void configure(const ICLTensor *input, ICLTensor *output, const Size2D &convolved_dims, unsigned int num_groups = 1); /** Static function to check if given info will lead to a valid configuration of @ref CLCol2ImKernel * - * @param[in] input The input tensor to convert. Data types supported: QASYMM8/F16/F32 + * @param[in] input The input tensor to convert. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32 * @param[in] output The output tensor. 3 lower dimensions represent a single output [width, height, OFM], * while the rest represent batch of outputs. Data types supported: Same as @p input. Data layout: NCHW * @param[in] convolved_dims Output convolved dimensions. -- cgit v1.2.1