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Diffstat (limited to 'arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h | 110 |
1 files changed, 0 insertions, 110 deletions
diff --git a/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h b/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h deleted file mode 100644 index 4727164d00..0000000000 --- a/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h +++ /dev/null @@ -1,110 +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_NENORMALIZATIONLAYERKERNEL_H -#define ARM_COMPUTE_NENORMALIZATIONLAYERKERNEL_H - -#include "arm_compute/core/NEON/INEKernel.h" - -namespace arm_compute -{ -class ITensor; - -/** Interface for the normalization layer kernel. - */ -class NENormalizationLayerKernel : public INEKernel -{ -public: - const char *name() const override - { - return "NENormalizationLayerKernel"; - } - /** Default constructor */ - NENormalizationLayerKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NENormalizationLayerKernel(const NENormalizationLayerKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NENormalizationLayerKernel &operator=(const NENormalizationLayerKernel &) = delete; - /** Default Move Constructor. */ - NENormalizationLayerKernel(NENormalizationLayerKernel &&) = default; - /** Default move assignment operator */ - NENormalizationLayerKernel &operator=(NENormalizationLayerKernel &&) = default; - /** Default destructor */ - ~NENormalizationLayerKernel() = default; - /** Set the input and output tensors. - * - * @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], - * and an optional 4th dimension for batch of inputs. Data types supported: FP16/F32. Data layouts supported: NCHW/NHWC. - * @param[in] input_squared Source with each element has been squared. 3 lower dims represent a single input with dimensions [width, height, IFM], - * Data type and layout supported: same as @p input. - * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type and layout supported: same as @p input. - * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters. - */ - void configure(const ITensor *input, const ITensor *input_squared, ITensor *output, NormalizationLayerInfo norm_info); - /** Static function to check if given info will lead to a valid configuration of @ref NENormalizationLayerKernel - * - * @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], - * and an optional 4th dimension for batch of inputs. Data types supported: FP16/F32. Data layouts supported: NCHW/NHWC. - * @param[in] input_squared Source with each element has been squared. 3 lower dims represent a single input with dimensions [width, height, IFM], - * Data type and layout supported: same as @p input. - * @param[in] output Destination tensor. Output will have the same number of dimensions as input. Data type and layout supported: same as @p input. - * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters. - * - * @return a status - */ - static Status validate(const ITensorInfo *input, const ITensorInfo *input_squared, const ITensorInfo *output, NormalizationLayerInfo norm_info); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - BorderSize border_size() const override; - -private: - /** Function to perform normalization depending on the given template - * dimension. The second template parameter specifies whether the - * normalization has to be 1D or 2D. - * - * @note Only supported normalizations are: - * - 1D over X or Z - * - 2D over X and Y - * - * @param[in] window Region on which to execute the kernel. - */ - template <typename T, unsigned int S, unsigned int dim, bool do_2D_norm> - void normalize_float(const Window &window); - - /** Common signature for all the specialised normalization functions - * - * @param[in] window Region on which to execute the kernel. - */ - using NormalizationFunction = void (NENormalizationLayerKernel::*)(const Window &window); - -private: - NormalizationFunction _func; - const ITensor *_input; - const ITensor *_input_squared; - ITensor *_output; - NormalizationLayerInfo _norm_info; - BorderSize _border_size; -}; -} // namespace arm_compute -#endif /*ARM_COMPUTE_NENORMALIZATIONLAYERKERNEL_H */ |