From ceaa0bfe219631b5a4e638613f90f9fa47a3defe Mon Sep 17 00:00:00 2001 From: Manuel Bottini Date: Tue, 16 Feb 2021 15:15:19 +0000 Subject: Remove OpenGL ES support Remove the following: - Relevant backend kernels - Relevant backend functions - Relevant backend validation tests - Relevant backend specific examples - Remove backend support from Graph API - Remove backend support from build system Update documentation Resolves: COMPMID-4149 Change-Id: Id0621d6ee35169754de458103907aaba4ef770c0 Signed-off-by: Manuel Bottini Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5097 Tested-by: Arm Jenkins Reviewed-by: Michele Di Giorgio Reviewed-by: Georgios Pinitas --- .../core/GLES_COMPUTE/kernels/GCIm2ColKernel.h | 128 --------------------- 1 file changed, 128 deletions(-) delete mode 100644 arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h (limited to 'arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h') diff --git a/arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h b/arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h deleted file mode 100644 index 38c924dfd8..0000000000 --- a/arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h +++ /dev/null @@ -1,128 +0,0 @@ -/* - * Copyright (c) 2017-2019 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_GCIM2COLKERNEL_H -#define ARM_COMPUTE_GCIM2COLKERNEL_H - -#include "arm_compute/core/GLES_COMPUTE/IGCKernel.h" - -namespace arm_compute -{ -class IGCTensor; -class Size2D; - -/** Interface for the im2col reshape kernel. - * - * Rearranges image blocks into columns. It is used to strip out each convolution block to a single column. - * It is used to transform a convolution to a plain matrix multiplication. - * - * For example taking into account the image below and assuming 3x3 image blocks with stride of 1 we have: - * @f[ - * \left( \begin{array}{cccc} - * a00 & a01 & a02 & a03 \\ - * a10 & a11 & a12 & a13 \\ - * a20 & a21 & a22 & a23 \\ - * a30 & a31 & a32 & a33 \\ - * \end{array} \right) - * = - * \left( \begin{array}{ccccccccc} - * a00 & a01 & a02 & a10 & a11 & a12 & a20 & a21 & a22 \\ - * a01 & a02 & a03 & a11 & a12 & a13 & a21 & a22 & a23 \\ - * a10 & a11 & a12 & a20 & a21 & a22 & a30 & a31 & a32 \\ - * a11 & a12 & a13 & a21 & a22 & a23 & a31 & a32 & a33 \\ - * \end{array} \right) - * @f] - */ -class GCIm2ColKernel : public IGCKernel -{ -public: - /** Default constructor */ - GCIm2ColKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - GCIm2ColKernel(const GCIm2ColKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - GCIm2ColKernel &operator=(const GCIm2ColKernel &) = delete; - /** Allow instances of this class to be moved */ - GCIm2ColKernel(GCIm2ColKernel &&) = default; - /** Allow instances of this class to be moved */ - GCIm2ColKernel &operator=(GCIm2ColKernel &&) = default; - /** Set the input and output of the kernel. - * - * @param[in] input The input tensor to convert. 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: F16/F32 - * @param[out] output The output tensor. First 2 lower dimensions represent a transform of each 3D input, - * while every dimension above represents a batch. Data types supported: Same as @p input - * @param[in] kernel_dims The kernel dimensions (width and height). - * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. - * @param[in] has_bias In case biases are provided expands the matrix with 1. - * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). - */ - void configure(const IGCTensor *input, IGCTensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, const Size2D &dilation = Size2D(1U, 1U)); - - // Inherited methods overridden: - void run(const Window &window) override; - - /** Static function to check if given info will lead to a valid configuration of @ref CLIm2ColKernel - * - * @param[in] input The input tensor to convert. 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: F16/F32 - * @param[in] output The output tensor. First 2 lower dimensions represent a transform of each 3D input, - * while every dimension above represents a batch. Data types supported: Same as @p input - * @param[in] kernel_dims The kernel dimensions (width and height). - * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. - * @param[in] has_bias In case biases are provided expands the matrix with 1. - * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). - * - * @return a status - */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, const Size2D &dilation = Size2D(1U, 1U)); - -private: - /** Run the reshape kernel optimised for the special case (stride is 1, padding is 0 and kernel's low 3 dimensions are same as input) - * - * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). - * @param[in,out] queue Command queue on which to enqueue the kernel. - */ - void run_reduced(const Window &window); - /** run the generic convolution layer input reshape kernel - * - * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). - * @param[in,out] queue Command queue on which to enqueue the kernel. - */ - void run_generic(const Window &window); - - /** Common signature for the kernel to run */ - using Im2ColFunction = void (GCIm2ColKernel::*)(const Window &); - -private: - const IGCTensor *_input; - IGCTensor *_output; - std::pair _convolved_dims; - std::pair _kernel_dims; - unsigned int _num_elems_processed_per_iteration; - Im2ColFunction _run_func; -}; -} - -#endif /*ARM_COMPUTE_GCIM2COLKERNEL_H */ -- cgit v1.2.1