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Diffstat (limited to 'arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h')
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1 files changed, 0 insertions, 152 deletions
diff --git a/arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h b/arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h deleted file mode 100644 index d59ed7baf0..0000000000 --- a/arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h +++ /dev/null @@ -1,152 +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_NEBATCHNORMALIZATIONLAYERKERNEL_H -#define ARM_COMPUTE_NEBATCHNORMALIZATIONLAYERKERNEL_H - -#include "arm_compute/core/NEON/INEKernel.h" - -namespace arm_compute -{ -class ITensor; - -/** Interface for the batch normalization layer kernel. - */ -class NEBatchNormalizationLayerKernel : public INEKernel -{ -public: - const char *name() const override - { - return "NEBatchNormalizationLayerKernel"; - } - /** Default constructor */ - NEBatchNormalizationLayerKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEBatchNormalizationLayerKernel(const NEBatchNormalizationLayerKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEBatchNormalizationLayerKernel &operator=(const NEBatchNormalizationLayerKernel &) = delete; - /** Default Move Constructor. */ - NEBatchNormalizationLayerKernel(NEBatchNormalizationLayerKernel &&) = default; - /** Default move assignment operator */ - NEBatchNormalizationLayerKernel &operator=(NEBatchNormalizationLayerKernel &&) = default; - /** Default destructor */ - ~NEBatchNormalizationLayerKernel() = default; - /** Set the input and output tensors. - * - * @note If the output tensor is a nullptr, the batch normalization function will be performed in-place - * - * @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result. - * 3 lower dimensions represent a single input with dimensions [width, height, FM]. - * The rest are optional and used for representing batches. Data types supported: F16/F32. - * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input - * @param[in] mean Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input - * @param[in] var Variance values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input - * @param[in] beta (Optional) Beta values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for beta is 0. Data types supported: Same as @p input - * @param[in] gamma (Optional) Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for gamma is 1. Data types supported: Same as @p input - * @param[in] epsilon (Optional) Small value to avoid division with zero. Default value is 0.001f. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported. - */ - void configure(ITensor *input, ITensor *output, const ITensor *mean, const ITensor *var, const ITensor *beta = nullptr, const ITensor *gamma = nullptr, float epsilon = 0.001f, - ActivationLayerInfo act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref NEBatchNormalizationLayerKernel - * - * @param[in] input Source tensor info. In case of @p output tensor = nullptr, this tensor will store the result. - * 3 lower dimensions represent a single input with dimensions [width, height, FM]. - * The rest are optional and used for representing batches. Data types supported: F16/F32. - * @param[in] output Destination tensor info. Output will have the same number of dimensions as input. Data type supported: same as @p input - * @param[in] mean Mean values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input - * @param[in] var Variance values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input - * @param[in] beta (Optional) Beta values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for beta is 0. Data types supported: Same as @p input - * @param[in] gamma (Optional) Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for gamma is 1. Data types supported: Same as @p input - * @param[in] epsilon (Optional) Small value to avoid division with zero. Default value is 0.001f. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported. - * - * @return a status - */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, - const ITensorInfo *mean, const ITensorInfo *var, - const ITensorInfo *beta = nullptr, const ITensorInfo *gamma = nullptr, - float epsilon = 0.001f, ActivationLayerInfo act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - -private: - /** Configure execution function in case of non-fused activation **/ - void configure_non_fused(); - /** Configure execution function in case of fused activation **/ - void configure_fused(); - - /** Template function to run batch normalization on fp16 - * - * @tparam fused_activation Boolean that flags if its a fused activation or not - * - * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). - */ - template <bool fused_activation, typename F> - void batch_normalization_fp16_nchw(const Window &window); - /** Template function to run batch normalization on fp16 on tensors with NHWC format - * - * @tparam fused_activation Boolean that flags if its a fused activation or not - * - * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). - */ - template <bool fused_activation, typename F> - void batch_normalization_fp16_nhwc(const Window &window); - /** Template function to run batch normalization on fp32 - * - * @tparam fused_activation Boolean that flags if its a fused activation or not - * @tparam F Activation function functor to run - * - * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). - */ - template <bool fused_activation, typename F> - void batch_normalization_fp32_nchw(const Window &window); - /** Template function to run batch normalization on fp32 on tensors with NHWC format - * - * @tparam fused_activation Boolean that flags if its a fused activation or not - * @tparam F Activation function functor to run - * - * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). - */ - template <bool fused_activation, typename F> - void batch_normalization_fp32_nhwc(const Window &window); - /** Common signature for all the batch normalization functions - * - * @param[in] window Region on which to execute the kernel. - */ - using BatchNormFunctionPtr = void (NEBatchNormalizationLayerKernel::*)(const Window &window); - -private: - BatchNormFunctionPtr _func; - ITensor *_input; - ITensor *_output; - const ITensor *_mean; - const ITensor *_var; - const ITensor *_gamma; - const ITensor *_beta; - float _epsilon; - ActivationLayerInfo _act_info; -}; -} // namespace arm_compute -#endif /*ARM_COMPUTE_NEBATCHNORMALIZATIONLAYERKERNEL_H */ |