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Diffstat (limited to 'arm_compute/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h | 98 |
1 files changed, 98 insertions, 0 deletions
diff --git a/arm_compute/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h b/arm_compute/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h new file mode 100644 index 0000000000..9745d266b8 --- /dev/null +++ b/arm_compute/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h @@ -0,0 +1,98 @@ +/* + * Copyright (c) 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_NEINSTANCENORMALIZATIONLAYERKERNEL_H__ +#define __ARM_COMPUTE_NEINSTANCENORMALIZATIONLAYERKERNEL_H__ + +#include "arm_compute/core/NEON/INEKernel.h" + +namespace arm_compute +{ +class ITensor; + +/** Interface for performing an instance normalization */ +class NEInstanceNormalizationLayerKernel : public INEKernel +{ +public: + const char *name() const override + { + return "NEInstanceNormalizationLayerKernel"; + } + /** Default constructor */ + NEInstanceNormalizationLayerKernel(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEInstanceNormalizationLayerKernel(const NEInstanceNormalizationLayerKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEInstanceNormalizationLayerKernel &operator=(const NEInstanceNormalizationLayerKernel &) = delete; + /** Allow instances of this class to be moved */ + NEInstanceNormalizationLayerKernel(NEInstanceNormalizationLayerKernel &&) = default; + /** Allow instances of this class to be moved */ + NEInstanceNormalizationLayerKernel &operator=(NEInstanceNormalizationLayerKernel &&) = default; + /** Default destructor */ + ~NEInstanceNormalizationLayerKernel() = default; + /** Set the input and output tensors. + * + * @param[in, out] input Source tensor. Data types supported: F16/F32. Data layout supported: NCHW + * @param[out] output Destination tensor. Data types and data layouts supported: same as @p input. + * @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0 + * @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0 + * @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12 + */ + void configure(ITensor *input, ITensor *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f); + + /** Static function to check if given info will lead to a valid configuration of @ref NEInstanceNormalizationLayer. + * + * @param[in] input Source tensor info. In case of @p output tensor = nullptr this tensor will store the result of the normalization. + * Data types supported: F16/F32. Data layout supported: NCHW + * @param[in] output Destination tensor info. Data types and data layouts supported: same as @p input. + * @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0 + * @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0 + * @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12 + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f); + + // Inherited methods overridden: + void run(const Window &window, const ThreadInfo &info) override; + +private: + /** Common signature for all the specialized instance normalization functions + * + * @param[in, out] input An input tensor. In case of @p output tensor = nullptr this tensor will store the result of the normalization. + * @param[out] output The output tensor. + * @param[in] gamma The scale scalar value applied to the normalized tensor. Defaults to 1.0 + * @param[in] beta The offset scalar value applied to the normalized tensor. Defaults to 0.0 + * @param[in] epsilon Lower bound value for the normalization. Defaults to 1e-12 + */ + using NormalizationFunction = void(ITensor *input, ITensor *output, float gamma, float beta, float epsilon, const Window &window); + + NormalizationFunction *_func; + ITensor *_input; + ITensor *_output; + float _gamma; + float _beta; + float _epsilon; +}; +} // namespace arm_compute +#endif /*__ARM_COMPUTE_NEINSTANCENORMALIZATIONLAYERKERNEL_H__ */ |