arm_compute/runtime/NEON/functions/NEInstanceNormalizationLayer.h

/*
 * Copyright (c) 2019-2021 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_NEINSTANCENORMALIZATIONLAYER_H
#define ARM_COMPUTE_NEINSTANCENORMALIZATIONLAYER_H

#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/IMemoryManager.h"
#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/runtime/NEON/functions/NEPermute.h"
#include "arm_compute/runtime/NEON/functions/NEReductionOperation.h"
#include "arm_compute/runtime/Tensor.h"

#include <memory>

namespace arm_compute
{
class ITensor;
class NEInstanceNormalizationLayerKernel;

/** Basic function to perform a Instance normalization.
 *
 * This function runs the following kernels:
 * -# @ref NEInstanceNormalizationLayerKernel
 */
class NEInstanceNormalizationLayer : public IFunction
{
public:
    /** Constructor */
    NEInstanceNormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
    /** Prevent instances of this class from being copied (As this class contains pointers) */
    NEInstanceNormalizationLayer(const NEInstanceNormalizationLayer &) = delete;
    /** Prevent instances of this class from being copied (As this class contains pointers) */
    NEInstanceNormalizationLayer &operator=(const NEInstanceNormalizationLayer &) = delete;
    /** Prevent instances of this class from being moved (As this class contains non movable objects) */
    NEInstanceNormalizationLayer(NEInstanceNormalizationLayer &&) = delete;
    /** Prevent instances of this class from being moved (As this class contains non movable objects) */
    NEInstanceNormalizationLayer &operator=(NEInstanceNormalizationLayer &&) = delete;
    /** Default destructor */
    ~NEInstanceNormalizationLayer();
    /** Set the input and output tensors.
     *
     * Valid data layouts:
     * - NHWC
     * - NCHW
     *
     * Valid data type configurations:
     * |src      |dst       |
     * |:--------|:---------|
     * |F16      |F16       |
     * |F32      |F32       |
     *
     * @param[in, out] input   Source tensor. In case of @p output tensor = nullptr this tensor will store the result of the normalization.
     *                         Data types supported: F16/F32. Data layout supported: NHWC, 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. Data types supported: F16/F32. Data layout supported: NHWC, 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() override;

private:
    MemoryGroup                                         _memory_group;
    std::unique_ptr<NEInstanceNormalizationLayerKernel> _normalization_kernel;
    bool                                                _is_nchw;
    NEPermute                                           _permute_input;
    NEPermute                                           _permute_output;
    Tensor                                              _permuted_input;
    Tensor                                              _permuted_output;
};
}
#endif /* ARM_COMPUTE_NEINSTANCENORMALIZATIONLAYER_H */