From ebcebf1dee7f8314976b1e0cabd62b4cf893d765 Mon Sep 17 00:00:00 2001 From: Michalis Spyrou Date: Wed, 21 Oct 2020 00:04:14 +0100 Subject: COMPMID-3638: Move NEON kernels Signed-off-by: Michalis Spyrou Change-Id: Ieed3e4bc8be7fef80c90c5094599b477a56fc473 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4285 Comments-Addressed: Arm Jenkins Reviewed-by: Georgios Pinitas Tested-by: Arm Jenkins --- .../core/NEON/kernels/NEMinMaxLayerKernel.h | 90 ---------------------- 1 file changed, 90 deletions(-) delete mode 100644 arm_compute/core/NEON/kernels/NEMinMaxLayerKernel.h (limited to 'arm_compute/core/NEON/kernels/NEMinMaxLayerKernel.h') diff --git a/arm_compute/core/NEON/kernels/NEMinMaxLayerKernel.h b/arm_compute/core/NEON/kernels/NEMinMaxLayerKernel.h deleted file mode 100644 index e7e87e9339..0000000000 --- a/arm_compute/core/NEON/kernels/NEMinMaxLayerKernel.h +++ /dev/null @@ -1,90 +0,0 @@ -/* - * Copyright (c) 2017-2020 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_NEMINMAXLAYERKERNEL_H -#define ARM_COMPUTE_NEMINMAXLAYERKERNEL_H - -#include "arm_compute/core/NEON/INEKernel.h" -#include "support/Mutex.h" - -#include - -namespace arm_compute -{ -class ITensor; - -/** Interface for the kernel to perform min max search on a 3D tensor. */ -class NEMinMaxLayerKernel : public INEKernel -{ -public: - const char *name() const override - { - return "NEMinMaxLayerKernel"; - } - /** Default constructor */ - NEMinMaxLayerKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEMinMaxLayerKernel(const NEMinMaxLayerKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEMinMaxLayerKernel &operator=(const NEMinMaxLayerKernel &) = delete; - /** Prevent instances of this class from being moved (As this class contains non movable objects) */ - NEMinMaxLayerKernel(NEMinMaxLayerKernel &&) = delete; - /** Prevent instances of this class from being moved (As this class contains non movable objects) */ - NEMinMaxLayerKernel &operator=(NEMinMaxLayerKernel &&) = delete; - /** Default destructor */ - ~NEMinMaxLayerKernel() = default; - - /** Initialise the kernel's input and outputs. - * - * @note output[0] = minimum - * @note output[1] = maximum - * - * @param[in] input Input tensor with at least 3 dimensions. The dimensions over the third will be interpreted as batches. Data type supported: F32. - * @param[out] output Output tensor with shape [2, batches, ...] which stores the minimum and maximum value for each 3D input tensor. - * The dimensions over the second must match the batched dimensions of the input tensor. Data types supported: F32 - */ - void configure(const ITensor *input, ITensor *output); - /** Static function to check if given info will lead to a valid configuration of @ref CLMinMaxLayerKernel - * - * @param[in] input Input tensor info. Data types supported: F32. - * @param[in] output Output tensor info with shape [2, batches, ...] which stores the minimum and maximum values for each 3D input tensor. - * The dimensions over the second must match the batched dimensions of the input tensor. Data types supported: F32. - * - * @return a status - */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output); - /** Resets global minimum and maximum. */ - void reset(); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - -private: - void update_min_max(float *out_ptr, float min, float max); - const ITensor *_input; - ITensor *_output; - arm_compute::Mutex _mtx; -}; -} // namespace arm_compute -#endif /* ARM_COMPUTE_NEMINMAXLAYERKERNEL_H */ -- cgit v1.2.1