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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-04-26 20:34:58 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:50:15 +0000 |
commit | 9fb1159e2501f276a27d32264bece54b3d42d258 (patch) | |
tree | 9b23fa7f12d889096b9fd36897f61f8d67f98a3b /arm_compute/runtime/NEON/functions/NEWinogradLayer.h | |
parent | 43f6afef70c29264c9c40032faf35a1f1d3379af (diff) | |
download | ComputeLibrary-9fb1159e2501f276a27d32264bece54b3d42d258.tar.gz |
COMPMID-1074: Rename WinograLayer.cpp to WinogradConvolutionLayer.cpp
Change-Id: Iccac7cd6cb458469568d0cd6fb36b262353f4188
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/129261
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEWinogradLayer.h')
-rw-r--r-- | arm_compute/runtime/NEON/functions/NEWinogradLayer.h | 122 |
1 files changed, 0 insertions, 122 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEWinogradLayer.h b/arm_compute/runtime/NEON/functions/NEWinogradLayer.h deleted file mode 100644 index 8010810253..0000000000 --- a/arm_compute/runtime/NEON/functions/NEWinogradLayer.h +++ /dev/null @@ -1,122 +0,0 @@ -/* - * Copyright (c) 2017-2018 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_NEWINOGRADLAYER_H__ -#define __ARM_COMPUTE_NEWINOGRADLAYER_H__ - -#include "arm_compute/runtime/IFunction.h" - -#include "arm_compute/core/NEON/INEKernel.h" -#include "arm_compute/core/NEON/kernels/assembly/arm_gemm.hpp" -#include "arm_compute/core/Types.h" -#include "arm_compute/runtime/CPP/functions/CPPPermute.h" -#include "arm_compute/runtime/MemoryGroup.h" -#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h" -#include "arm_compute/runtime/Tensor.h" - -#include <memory> - -namespace arm_compute -{ -class ITensor; -/** Basic function to simulate a convolution layer. This function calls the following NEON kernels: - * -# @ref NEWinogradLayerTransformWeightsKernel (executed only once in the first call to the run() method ) - * -# @ref NEWinogradLayerTransformInputKernel - * -# @ref NEWinogradLayerTransformOutputKernel - * -# @ref NEWinogradLayerBatchedGEMMKernel - * -# @ref CPPPermute (three times: weights, input and output) - */ -class NEWinogradLayer : public IFunction -{ -public: - /** Constructor */ - NEWinogradLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); - - /** Set the input and output tensors. - * - * @param[in] input Source tensor. 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[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: Same as @p input. - * Currently only 3x3 and 5x5 kernels are supported. - * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. - * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. - * Data types supported: Same as @p input. - * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. Currently only unit strides are supported. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. - */ - void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - void run() override; - - /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMConvolutionLayer - * - * @param[in] input Source tensor. 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[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input. - * Currently only 3x3 and 5x5 kernels are supported. - * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. - * @param[in] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. - * Data types supported: Same as @p input. - * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. Currently only unit strides are supported. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. - * - * @return a status - */ - static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, - const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEWinogradLayer(const NEWinogradLayer &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEWinogradLayer &operator=(const NEWinogradLayer &) = delete; - -private: - MemoryGroup _memory_group; - std::unique_ptr<arm_gemm::GemmCommon<float, float>> _arm_gemm; - std::unique_ptr<INEKernel> _gemm_kernel; - std::unique_ptr<INEKernel> _transform_input_kernel; - std::unique_ptr<INEKernel> _transform_output_kernel; - std::unique_ptr<INEKernel> _transform_weights_kernel; - NEActivationLayer _activationlayer_function; - - CPPPermute _permute_input; - CPPPermute _permute_weights; - CPPPermute _permute_output; - Tensor _input_workspace; - Tensor _output_workspace; - Tensor _kernel_storage; - Tensor _input_nhwc; - Tensor _output_nhwc; - Tensor _weights_hwio; - Tensor _workspace; - const ITensor *_input; - const ITensor *_weights; - ITensor *_output; - bool _reshaped_kernel; - bool _is_activationlayer_enabled; -}; -} -#endif /* __ARM_COMPUTE_NEWINOGRADLAYER_H__ */ |