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+/*
+ * 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_NEINSTANCENORMALIZATIONLAYER_H__
+#define __ARM_COMPUTE_NEINSTANCENORMALIZATIONLAYER_H__
+
+#include "arm_compute/core/NEON/kernels/NEInstanceNormalizationLayerKernel.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;
+
+/** 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);
+ /** Set the input and output tensors.
+ *
+ * @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;
+ NEInstanceNormalizationLayerKernel _normalization_kernel;
+ bool _is_nchw;
+ NEPermute _permute_input;
+ NEPermute _permute_output;
+ Tensor _permuted_input;
+ Tensor _permuted_output;
+};
+}
+#endif /* __ARM_COMPUTE_NEINSTANCENORMALIZATIONLAYER_H__ */