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Diffstat (limited to 'src/core/NEON/kernels/NENormalizationLayerKernel.h')
| -rw-r--r-- | src/core/NEON/kernels/NENormalizationLayerKernel.h | 108 |
1 files changed, 108 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/NENormalizationLayerKernel.h b/src/core/NEON/kernels/NENormalizationLayerKernel.h new file mode 100644 index 0000000000..53a06b9ed9 --- /dev/null +++ b/src/core/NEON/kernels/NENormalizationLayerKernel.h @@ -0,0 +1,108 @@ +/* + * Copyright (c) 2017-2020 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 "src/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; + +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; +}; +} // namespace arm_compute +#endif /*ARM_COMPUTE_NENORMALIZATIONLAYERKERNEL_H */ |