diff options
Diffstat (limited to 'arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h')
-rw-r--r-- | arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h | 109 |
1 files changed, 109 insertions, 0 deletions
diff --git a/arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h b/arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h new file mode 100644 index 0000000000..e1b35607ff --- /dev/null +++ b/arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h @@ -0,0 +1,109 @@ +/* + * Copyright (c) 2017 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; + +/** 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: 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. + */ + void configure(const IGCTensor *input, IGCTensor *output, std::pair<unsigned int, unsigned int> kernel_dims, const PadStrideInfo &conv_info, bool has_bias); + + // Inherited methods overridden: + void run(const Window &window) override; + +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<unsigned int, unsigned int> _convolved_dims; + unsigned int _num_elems_processed_per_iteration; + Im2ColFunction _run_func; +}; +} + +#endif /*__ARM_COMPUTE_GCIM2COLKERNEL_H__ */ |