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/CLFlattenLayerKernel.h | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'arm_compute/core/CL/kernels/CLFlattenLayerKernel.h') diff --git a/arm_compute/core/CL/kernels/CLFlattenLayerKernel.h b/arm_compute/core/CL/kernels/CLFlattenLayerKernel.h index 62d01f072e..1b7fdcc54f 100644 --- a/arm_compute/core/CL/kernels/CLFlattenLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLFlattenLayerKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -47,7 +47,7 @@ public: /** Set the input and output of the kernel. * * @param[in] input First input tensor to flatten with at least 3 dimensions. - * The dimensions above the third will be interpreted as batches. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32 + * The dimensions above the third will be interpreted as batches. Data types supported: All. * @param[out] output Output tensor with shape [w*h*d, input_batches] where: * w = width input tensor, h = height input tensor and d = depth input tensor. Data type supported: same as @p input */ @@ -55,7 +55,7 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref CLFlattenLayerKernel * * @param[in] input First input tensor to flatten with at least 3 dimensions. - * The dimensions above the third will be interpreted as batches. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32 + * The dimensions above the third will be interpreted as batches. Data types supported: All. * @param[out] output Output tensor with shape [w*h*d, input_batches] where: * w = width input tensor, h = height input tensor and d = depth input tensor. Data type supported: same as @p input * -- cgit v1.2.1