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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEWinogradLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEWinogradLayer.h | 84 |
1 files changed, 84 insertions, 0 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEWinogradLayer.h b/arm_compute/runtime/NEON/functions/NEWinogradLayer.h new file mode 100644 index 0000000000..7dca4570e5 --- /dev/null +++ b/arm_compute/runtime/NEON/functions/NEWinogradLayer.h @@ -0,0 +1,84 @@ +/* + * 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_NEWINOGRADLAYER_H__ +#define __ARM_COMPUTE_NEWINOGRADLAYER_H__ + +#include "arm_compute/runtime/IFunction.h" + +#include "arm_compute/core/NEON/kernels/NEWinogradLayerKernel.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/MemoryGroup.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: + */ +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 kernels are supported. + * @param[in] biases Not supported, biases will be ignored. + * @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. + */ + void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info); + + // Inherited methods overridden: + void run() override; + + /** 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: + using Winograd3x3F32 = NEWinogradLayerKernel::Winograd3x3F32; + + MemoryGroup _memory_group; + NEWinogradLayerKernel _winograd_kernel; + Tensor _weights_workspace; + Tensor _workspace; + Tensor _kernel_storage; + const ITensor *_input; + const ITensor *_weights; + ITensor *_output; + bool _reshaped_kernel; + std::unique_ptr<Winograd3x3F32> _conv; +}; +} +#endif /* __ARM_COMPUTE_NEWINOGRADLAYER_H__ */ |