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/*
* Copyright (c) 2017-2018 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_GRAPH_BATCHNORMALIZATION_LAYER_H__
#define __ARM_COMPUTE_GRAPH_BATCHNORMALIZATION_LAYER_H__
#include "arm_compute/graph/GraphContext.h"
#include "arm_compute/graph/INode.h"
#include "arm_compute/graph/ITensorObject.h"
#include "arm_compute/graph/Tensor.h"
#include "arm_compute/graph/Types.h"
namespace arm_compute
{
namespace graph
{
/** BatchNormalization layer node */
class BatchNormalizationLayer final : public INode
{
public:
/** Default constructor
*
* @param[in] mean Mean values tensor
* @param[in] var Var values tensor
* @param[in] gamma Gamma values tensor
* @param[in] beta Beta values tensor
* @param[in] epsilon Epsilon value
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported.
*/
template <typename AccessorType>
BatchNormalizationLayer(AccessorType &&mean, AccessorType &&var, AccessorType &&gamma, AccessorType &&beta, float epsilon, ActivationLayerInfo act_info = ActivationLayerInfo())
: _mean(std::move(mean)), _var(std::move(var)), _gamma(std::move(gamma)), _beta(std::move(beta)), _epsilon(epsilon), _act_info(act_info)
{
set_supports_in_place(true);
}
// Inherited methods overriden:
std::unique_ptr<arm_compute::IFunction> instantiate_node(GraphContext &ctx, ITensorObject *input, ITensorObject *output) override;
private:
Tensor _mean;
Tensor _var;
Tensor _gamma;
Tensor _beta;
float _epsilon;
ActivationLayerInfo _act_info;
};
} // namespace graph
} // namespace arm_compute
#endif /* __ARM_COMPUTE_GRAPH_BATCHNORMALIZATION_LAYER_H__ */
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