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Diffstat (limited to 'arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h | 90 |
1 files changed, 0 insertions, 90 deletions
diff --git a/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h b/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h deleted file mode 100644 index ff0c96e168..0000000000 --- a/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h +++ /dev/null @@ -1,90 +0,0 @@ -/* - * Copyright (c) 2019-2020 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_CLMEANSTDDEVNORMALIZATIONKERNEL_H -#define ARM_COMPUTE_CLMEANSTDDEVNORMALIZATIONKERNEL_H - -#include "arm_compute/core/CL/ICLKernel.h" - -namespace arm_compute -{ -class ICLTensor; - -/** Interface for the kernel to normalize the input 2D tensor across the first dimension with respect to mean and standard deviation of the same dimension. */ -class CLMeanStdDevNormalizationKernel : public ICLKernel -{ -public: - /** Default constructor */ - CLMeanStdDevNormalizationKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - CLMeanStdDevNormalizationKernel(const CLMeanStdDevNormalizationKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - CLMeanStdDevNormalizationKernel &operator=(const CLMeanStdDevNormalizationKernel &) = delete; - /** Allow instances of this class to be moved */ - CLMeanStdDevNormalizationKernel(CLMeanStdDevNormalizationKernel &&) = default; - /** Allow instances of this class to be moved */ - CLMeanStdDevNormalizationKernel &operator=(CLMeanStdDevNormalizationKernel &&) = default; - /** Default destructor */ - ~CLMeanStdDevNormalizationKernel() = default; - /** Initialise the kernel's input and outputs. - * - * @note If the output tensor is a nullptr, the normalization will be performed in-place. - * - * @param[in, out] input Source tensor with 2 dimensions. In case of @p output tensor = nullptr, - * this tensor will store the result of the normalization. Data types supported: F16/F32. - * @param[out] output (Optional) Destination tensor. It can be nullptr in case of in-place computation. Data type supported: same as @p input - * @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8. - */ - void configure(ICLTensor *input, ICLTensor *output = nullptr, float epsilon = 1e-8f); - /** Initialise the kernel's input and outputs. - * - * @note If the output tensor is a nullptr, the normalization will be performed in-place. - * - * @param[in] compile_context The compile context to be used. - * @param[in, out] input Source tensor with 2 dimensions. In case of @p output tensor = nullptr, - * this tensor will store the result of the normalization. Data types supported: F16/F32. - * @param[out] output (Optional) Destination tensor. It can be nullptr in case of in-place computation. Data type supported: same as @p input - * @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8. - */ - void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output = nullptr, float epsilon = 1e-8f); - /** Static function to check if given info will lead to a valid configuration of @ref CLMeanStdDevNormalizationKernel - * - * @param[in] input Source tensor info with 2 dimensions. In case of @p output tensor info = nullptr, - * this tensor will store the result of the normalization. Data types supported: F16/F32. - * @param[in] output (Optional) Destination tensor info. It can be nullptr in case of in-place computation. Data type supported: same as @p input - * @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8. - * - * @return a status - */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output = nullptr, float epsilon = 1e-8f); - - // Inherited methods overridden: - void run(const Window &window, cl::CommandQueue &queue) override; - -private: - ICLTensor *_input; - ICLTensor *_output; - bool _run_in_place; -}; -} // namespace arm_compute -#endif /* ARM_COMPUTE_CLMEANSTDDEVNORMALIZATIONKERNEL_H */ |