From 0b1c2db5c29ed80b7f4dd0c4fd6d4ed91b3d1538 Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Fri, 4 Dec 2020 15:51:34 +0000 Subject: Remove (NE/CL)YoloLayer support YOLO layer is too specialized and specific to a single model type. Can be decomposed using split, activation and concatenate layers Partially Resolves: COMPMID-3996 Signed-off-by: Georgios Pinitas Change-Id: I3cde88f8d4cc7d8c70ce1bb3b32b00f8d09bdca2 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4678 Tested-by: Arm Jenkins Reviewed-by: Michele Di Giorgio --- arm_compute/runtime/CL/functions/CLYOLOLayer.h | 82 -------------------------- 1 file changed, 82 deletions(-) delete mode 100644 arm_compute/runtime/CL/functions/CLYOLOLayer.h (limited to 'arm_compute/runtime/CL/functions/CLYOLOLayer.h') diff --git a/arm_compute/runtime/CL/functions/CLYOLOLayer.h b/arm_compute/runtime/CL/functions/CLYOLOLayer.h deleted file mode 100644 index 48ee4ea4f7..0000000000 --- a/arm_compute/runtime/CL/functions/CLYOLOLayer.h +++ /dev/null @@ -1,82 +0,0 @@ -/* - * Copyright (c) 2018-2020 Arm Limited. - * - * SPDX-License-Identifier: MIT - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to - * deal in the Software without restriction, including without limitation the - * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - * sell copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ -#ifndef ARM_COMPUTE_CLYOLOLAYER_H -#define ARM_COMPUTE_CLYOLOLAYER_H - -#include "arm_compute/core/Types.h" -#include "arm_compute/runtime/CL/ICLSimpleFunction.h" - -namespace arm_compute -{ -class CLCompileContext; -class ICLTensor; -class ITensorInfo; - -/** Basic function to run @ref CLYOLOLayerKernel that performs a partial activation on the input - * - * For each box, activate only: - * - x and y position (channel 0 and 1 of each box) - * - objectiveness (channel 4 of each box) - * - classes (channel 5 to (classes - 5) of each box) - */ -class CLYOLOLayer : public ICLSimpleFunction -{ -public: - /** Set the input and output tensor. - * - * @note If the output tensor is a nullptr or is equal to the input, the activation function will be performed in-place - * - * @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result - * of the activation function. Data types supported: F16/F32. - * @param[out] output Destination tensor. Data type supported: same as @p input - * @param[in] act_info Activation layer parameters. - * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels) - */ - void configure(ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes); - /** Set the input and output tensor. - * - * @note If the output tensor is a nullptr or is equal to the input, the activation function will be performed in-place - * - * @param[in] compile_context The compile context to be used. - * @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result - * of the activation function. Data types supported: F16/F32. - * @param[out] output Destination tensor. Data type supported: same as @p input - * @param[in] act_info Activation layer parameters. - * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels) - */ - void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes); - /** Static function to check if given info will lead to a valid configuration of @ref CLYOLOLayer - * - * @param[in] input Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result - * of the activation function. Data types supported: F16/F32. - * @param[in] output Destination tensor info. Data type supported: same as @p input - * @param[in] act_info Activation layer information. - * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels) - * - * @return a status - */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes); -}; -} // namespace arm_compute -#endif /* ARM_COMPUTE_CLYOLOLAYER_H */ -- cgit v1.2.1