src/runtime/NEON/functions/NEElementwiseOperators.cpp - ml/ComputeLibrary - Gitiles

 /*
  * Copyright (c) 2018-2020 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.
  */
 #include "arm_compute/core/Validate.h"
 #include "arm_compute/runtime/NEON/functions/NEElementwiseOperations.h"
 #include <src/core/NEON/kernels/NEElementwiseOperationKernel.h>

 #include "arm_compute/core/ITensor.h"
 #include "support/MemorySupport.h"

 #include <utility>

 namespace arm_compute
 {
 namespace experimental
 {
 void NEElementwiseMax::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output)
 {
     auto k = arm_compute::support::cpp14::make_unique<NEArithmeticOperationKernel>();
     k->configure(ArithmeticOperation::MAX, input1, input2, output);
     _kernel = std::move(k);
 }

 Status NEElementwiseMax::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
 {
     return NEArithmeticOperationKernel::validate(ArithmeticOperation::MAX, input1, input2, output);
 }

 void NEElementwiseMin::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output)
 {
     auto k = arm_compute::support::cpp14::make_unique<NEArithmeticOperationKernel>();
     k->configure(ArithmeticOperation::MIN, input1, input2, output);
     _kernel = std::move(k);
 }

 Status NEElementwiseMin::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
 {
     return NEArithmeticOperationKernel::validate(ArithmeticOperation::MIN, input1, input2, output);
 }

 void NEElementwiseSquaredDiff::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output)
 {
     auto k = arm_compute::support::cpp14::make_unique<NEArithmeticOperationKernel>();
     k->configure(ArithmeticOperation::SQUARED_DIFF, input1, input2, output);
     _kernel = std::move(k);
 }

 Status NEElementwiseSquaredDiff::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
 {
     return NEArithmeticOperationKernel::validate(ArithmeticOperation::SQUARED_DIFF, input1, input2, output);
 }

 void NEElementwiseDivision::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output)
 {
     auto k = arm_compute::support::cpp14::make_unique<NEDivisionOperationKernel>();
     k->configure(input1, input2, output);
     _kernel = std::move(k);
 }

 Status NEElementwiseDivision::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
 {
     return NEDivisionOperationKernel::validate(input1, input2, output);
 }

 void NEElementwisePower::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output)
 {
     auto k = arm_compute::support::cpp14::make_unique<NEPowerOperationKernel>();
     k->configure(input1, input2, output);
     _kernel = std::move(k);
 }

 Status NEElementwisePower::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
 {
     return NEPowerOperationKernel::validate(input1, input2, output);
 }

 template <ComparisonOperation COP>
 void NEElementwiseComparisonStatic<COP>::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output)
 {
     auto k = arm_compute::support::cpp14::make_unique<NEComparisonOperationKernel>();
     k->configure(COP, input1, input2, output);
     _kernel = std::move(k);
 }

 template <ComparisonOperation COP>
 Status NEElementwiseComparisonStatic<COP>::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
 {
     return NEComparisonOperationKernel::validate(COP, input1, input2, output);
 }

 void NEElementwiseComparison::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, ComparisonOperation op)
 {
     auto k = arm_compute::support::cpp14::make_unique<NEComparisonOperationKernel>();
     k->configure(op, input1, input2, output);
     _kernel = std::move(k);
 }

 Status NEElementwiseComparison::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ComparisonOperation op)
 {
     return NEComparisonOperationKernel::validate(op, input1, input2, output);
 }

 // Supported Specializations
 template class NEElementwiseComparisonStatic<ComparisonOperation::Equal>;
 template class NEElementwiseComparisonStatic<ComparisonOperation::NotEqual>;
 template class NEElementwiseComparisonStatic<ComparisonOperation::Greater>;
 template class NEElementwiseComparisonStatic<ComparisonOperation::GreaterEqual>;
 template class NEElementwiseComparisonStatic<ComparisonOperation::Less>;
 template class NEElementwiseComparisonStatic<ComparisonOperation::LessEqual>;
 } // namespace experimental

 struct NEElementwiseMax::Impl
 {
     const ITensor                                  *src_0{ nullptr };
     const ITensor                                  *src_1{ nullptr };
     ITensor                                        *dst{ nullptr };
     std::unique_ptr<experimental::NEElementwiseMax> op{ nullptr };
 };

 NEElementwiseMax::NEElementwiseMax()
     : _impl(support::cpp14::make_unique<Impl>())
 {
 }
 NEElementwiseMax::NEElementwiseMax(NEElementwiseMax &&) = default;
 NEElementwiseMax &NEElementwiseMax::operator=(NEElementwiseMax &&) = default;
 NEElementwiseMax::~NEElementwiseMax()                              = default;

 void NEElementwiseMax::configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_UNUSED(act_info);
     _impl->src_0 = input1;
     _impl->src_1 = input2;
     _impl->dst   = output;
     _impl->op    = arm_compute::support::cpp14::make_unique<experimental::NEElementwiseMax>();
     _impl->op->configure(input1->info(), input2->info(), output->info());
 }

 Status NEElementwiseMax::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
     return experimental::NEElementwiseMax::validate(input1, input2, output);
 }

 void NEElementwiseMax::run()
 {
     ITensorPack pack;
     pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
     pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
     pack.add_tensor(TensorType::ACL_DST, _impl->dst);
     _impl->op->run(pack);
 }

 struct NEElementwiseMin::Impl
 {
     const ITensor                                  *src_0{ nullptr };
     const ITensor                                  *src_1{ nullptr };
     ITensor                                        *dst{ nullptr };
     std::unique_ptr<experimental::NEElementwiseMin> op{ nullptr };
 };

 NEElementwiseMin::NEElementwiseMin()
     : _impl(support::cpp14::make_unique<Impl>())
 {
 }
 NEElementwiseMin::NEElementwiseMin(NEElementwiseMin &&) = default;
 NEElementwiseMin &NEElementwiseMin::operator=(NEElementwiseMin &&) = default;
 NEElementwiseMin::~NEElementwiseMin()                              = default;

 void NEElementwiseMin::configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_UNUSED(act_info);
     _impl->src_0 = input1;
     _impl->src_1 = input2;
     _impl->dst   = output;
     _impl->op    = arm_compute::support::cpp14::make_unique<experimental::NEElementwiseMin>();
     _impl->op->configure(input1->info(), input2->info(), output->info());
 }

 Status NEElementwiseMin::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
     return experimental::NEElementwiseMin::validate(input1, input2, output);
 }

 void NEElementwiseMin::run()
 {
     ITensorPack pack;
     pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
     pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
     pack.add_tensor(TensorType::ACL_DST, _impl->dst);
     _impl->op->run(pack);
 }

 struct NEElementwiseSquaredDiff::Impl
 {
     const ITensor                                          *src_0{ nullptr };
     const ITensor                                          *src_1{ nullptr };
     ITensor                                                *dst{ nullptr };
     std::unique_ptr<experimental::NEElementwiseSquaredDiff> op{ nullptr };
 };

 NEElementwiseSquaredDiff::NEElementwiseSquaredDiff()
     : _impl(support::cpp14::make_unique<Impl>())
 {
 }
 NEElementwiseSquaredDiff::NEElementwiseSquaredDiff(NEElementwiseSquaredDiff &&) = default;
 NEElementwiseSquaredDiff &NEElementwiseSquaredDiff::operator=(NEElementwiseSquaredDiff &&) = default;
 NEElementwiseSquaredDiff::~NEElementwiseSquaredDiff()                                      = default;

 void NEElementwiseSquaredDiff::configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_UNUSED(act_info);
     _impl->src_0 = input1;
     _impl->src_1 = input2;
     _impl->dst   = output;
     _impl->op    = arm_compute::support::cpp14::make_unique<experimental::NEElementwiseSquaredDiff>();
     _impl->op->configure(input1->info(), input2->info(), output->info());
 }

 Status NEElementwiseSquaredDiff::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
     return experimental::NEElementwiseSquaredDiff::validate(input1, input2, output);
 }

 void NEElementwiseSquaredDiff::run()
 {
     ITensorPack pack;
     pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
     pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
     pack.add_tensor(TensorType::ACL_DST, _impl->dst);
     _impl->op->run(pack);
 }

 struct NEElementwiseDivision::Impl
 {
     const ITensor                                       *src_0{ nullptr };
     const ITensor                                       *src_1{ nullptr };
     ITensor                                             *dst{ nullptr };
     std::unique_ptr<experimental::NEElementwiseDivision> op{ nullptr };
 };

 NEElementwiseDivision::NEElementwiseDivision()
     : _impl(support::cpp14::make_unique<Impl>())
 {
 }
 NEElementwiseDivision::NEElementwiseDivision(NEElementwiseDivision &&) = default;
 NEElementwiseDivision &NEElementwiseDivision::operator=(NEElementwiseDivision &&) = default;
 NEElementwiseDivision::~NEElementwiseDivision()                                   = default;

 void NEElementwiseDivision::configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_UNUSED(act_info);
     _impl->src_0 = input1;
     _impl->src_1 = input2;
     _impl->dst   = output;
     _impl->op    = arm_compute::support::cpp14::make_unique<experimental::NEElementwiseDivision>();
     _impl->op->configure(input1->info(), input2->info(), output->info());
 }

 Status NEElementwiseDivision::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
     return experimental::NEElementwiseDivision::validate(input1, input2, output);
 }

 void NEElementwiseDivision::run()
 {
     ITensorPack pack;
     pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
     pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
     pack.add_tensor(TensorType::ACL_DST, _impl->dst);
     _impl->op->run(pack);
 }

 struct NEElementwisePower::Impl
 {
     const ITensor                                    *src_0{ nullptr };
     const ITensor                                    *src_1{ nullptr };
     ITensor                                          *dst{ nullptr };
     std::unique_ptr<experimental::NEElementwisePower> op{ nullptr };
 };

 NEElementwisePower::NEElementwisePower()
     : _impl(support::cpp14::make_unique<Impl>())
 {
 }
 NEElementwisePower::NEElementwisePower(NEElementwisePower &&) = default;
 NEElementwisePower &NEElementwisePower::operator=(NEElementwisePower &&) = default;
 NEElementwisePower::~NEElementwisePower()                                = default;

 void NEElementwisePower::configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_UNUSED(act_info);
     _impl->src_0 = input1;
     _impl->src_1 = input2;
     _impl->dst   = output;
     _impl->op    = arm_compute::support::cpp14::make_unique<experimental::NEElementwisePower>();
     _impl->op->configure(input1->info(), input2->info(), output->info());
 }

 Status NEElementwisePower::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
     return experimental::NEElementwisePower::validate(input1, input2, output);
 }

 void NEElementwisePower::run()
 {
     ITensorPack pack;
     pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
     pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
     pack.add_tensor(TensorType::ACL_DST, _impl->dst);
     _impl->op->run(pack);
 }

 template <ComparisonOperation COP>
 struct NEElementwiseComparisonStatic<COP>::Impl
 {
     const ITensor                                                    *src_0{ nullptr };
     const ITensor                                                    *src_1{ nullptr };
     ITensor                                                          *dst{ nullptr };
     std::unique_ptr<experimental::NEElementwiseComparisonStatic<COP>> op{ nullptr };
 };

 template <ComparisonOperation COP>
 NEElementwiseComparisonStatic<COP>::NEElementwiseComparisonStatic()
     : _impl(support::cpp14::make_unique<Impl>())
 {
 }
 template <ComparisonOperation COP>
 NEElementwiseComparisonStatic<COP>::NEElementwiseComparisonStatic(NEElementwiseComparisonStatic &&) = default;
 template <ComparisonOperation       COP>
 NEElementwiseComparisonStatic<COP> &NEElementwiseComparisonStatic<COP>::operator=(NEElementwiseComparisonStatic &&) = default;
 template <ComparisonOperation       COP>
 NEElementwiseComparisonStatic<COP>::~NEElementwiseComparisonStatic() = default;

 template <ComparisonOperation COP>
 void NEElementwiseComparisonStatic<COP>::configure(ITensor *input1, ITensor *input2, ITensor *output)
 {
     _impl->src_0 = input1;
     _impl->src_1 = input2;
     _impl->dst   = output;
     _impl->op    = arm_compute::support::cpp14::make_unique<experimental::NEElementwiseComparisonStatic<COP>>();
     _impl->op->configure(input1->info(), input2->info(), output->info());
 }

 template <ComparisonOperation COP>
 Status NEElementwiseComparisonStatic<COP>::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
 {
     return experimental::NEElementwiseComparisonStatic<COP>::validate(input1, input2, output);
 }

 template <ComparisonOperation COP>
 void                          NEElementwiseComparisonStatic<COP>::run()
 {
     ITensorPack pack;
     pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
     pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
     pack.add_tensor(TensorType::ACL_DST, _impl->dst);
     _impl->op->run(pack);
 }

 struct NEElementwiseComparison::Impl
 {
     const ITensor                                         *src_0{ nullptr };
     const ITensor                                         *src_1{ nullptr };
     ITensor                                               *dst{ nullptr };
     std::unique_ptr<experimental::NEElementwiseComparison> op{ nullptr };
 };

 NEElementwiseComparison::NEElementwiseComparison()
     : _impl(support::cpp14::make_unique<Impl>())
 {
 }
 NEElementwiseComparison::NEElementwiseComparison(NEElementwiseComparison &&) = default;
 NEElementwiseComparison &NEElementwiseComparison::operator=(NEElementwiseComparison &&) = default;
 NEElementwiseComparison::~NEElementwiseComparison()                                     = default;

 void NEElementwiseComparison::configure(ITensor *input1, ITensor *input2, ITensor *output, ComparisonOperation op)
 {
     _impl->src_0 = input1;
     _impl->src_1 = input2;
     _impl->dst   = output;
     _impl->op    = arm_compute::support::cpp14::make_unique<experimental::NEElementwiseComparison>();
     _impl->op->configure(input1->info(), input2->info(), output->info(), op);
 }

 Status NEElementwiseComparison::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ComparisonOperation op)
 {
     return experimental::NEElementwiseComparison::validate(input1, input2, output, op);
 }

 void NEElementwiseComparison::run()
 {
     ITensorPack pack;
     pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
     pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
     pack.add_tensor(TensorType::ACL_DST, _impl->dst);
     _impl->op->run(pack);
 }

 // Supported Specializations
 template class NEElementwiseComparisonStatic<ComparisonOperation::Equal>;
 template class NEElementwiseComparisonStatic<ComparisonOperation::NotEqual>;
 template class NEElementwiseComparisonStatic<ComparisonOperation::Greater>;
 template class NEElementwiseComparisonStatic<ComparisonOperation::GreaterEqual>;
 template class NEElementwiseComparisonStatic<ComparisonOperation::Less>;
 template class NEElementwiseComparisonStatic<ComparisonOperation::LessEqual>;
 } // namespace arm_compute
	/*
	* Copyright (c) 2018-2020 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.
	*/
	#include "arm_compute/core/Validate.h"
	#include "arm_compute/runtime/NEON/functions/NEElementwiseOperations.h"
	#include <src/core/NEON/kernels/NEElementwiseOperationKernel.h>

	#include "arm_compute/core/ITensor.h"
	#include "support/MemorySupport.h"

	#include <utility>

	namespace arm_compute
	{
	namespace experimental
	{
	void NEElementwiseMax::configure(const ITensorInfo input1, const ITensorInfo input2, ITensorInfo *output)
	{
	auto k = arm_compute::support::cpp14::make_unique<NEArithmeticOperationKernel>();
	k->configure(ArithmeticOperation::MAX, input1, input2, output);
	_kernel = std::move(k);
	}

	Status NEElementwiseMax::validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output)
	{
	return NEArithmeticOperationKernel::validate(ArithmeticOperation::MAX, input1, input2, output);
	}

	void NEElementwiseMin::configure(const ITensorInfo input1, const ITensorInfo input2, ITensorInfo *output)
	{
	auto k = arm_compute::support::cpp14::make_unique<NEArithmeticOperationKernel>();
	k->configure(ArithmeticOperation::MIN, input1, input2, output);
	_kernel = std::move(k);
	}

	Status NEElementwiseMin::validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output)
	{
	return NEArithmeticOperationKernel::validate(ArithmeticOperation::MIN, input1, input2, output);
	}

	void NEElementwiseSquaredDiff::configure(const ITensorInfo input1, const ITensorInfo input2, ITensorInfo *output)
	{
	auto k = arm_compute::support::cpp14::make_unique<NEArithmeticOperationKernel>();
	k->configure(ArithmeticOperation::SQUARED_DIFF, input1, input2, output);
	_kernel = std::move(k);
	}

	Status NEElementwiseSquaredDiff::validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output)
	{
	return NEArithmeticOperationKernel::validate(ArithmeticOperation::SQUARED_DIFF, input1, input2, output);
	}

	void NEElementwiseDivision::configure(const ITensorInfo input1, const ITensorInfo input2, ITensorInfo *output)
	{
	auto k = arm_compute::support::cpp14::make_unique<NEDivisionOperationKernel>();
	k->configure(input1, input2, output);
	_kernel = std::move(k);
	}

	Status NEElementwiseDivision::validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output)
	{
	return NEDivisionOperationKernel::validate(input1, input2, output);
	}

	void NEElementwisePower::configure(const ITensorInfo input1, const ITensorInfo input2, ITensorInfo *output)
	{
	auto k = arm_compute::support::cpp14::make_unique<NEPowerOperationKernel>();
	k->configure(input1, input2, output);
	_kernel = std::move(k);
	}

	Status NEElementwisePower::validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output)
	{
	return NEPowerOperationKernel::validate(input1, input2, output);
	}

	template <ComparisonOperation COP>
	void NEElementwiseComparisonStatic<COP>::configure(const ITensorInfo input1, const ITensorInfo input2, ITensorInfo *output)
	{
	auto k = arm_compute::support::cpp14::make_unique<NEComparisonOperationKernel>();
	k->configure(COP, input1, input2, output);
	_kernel = std::move(k);
	}

	template <ComparisonOperation COP>
	Status NEElementwiseComparisonStatic<COP>::validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output)
	{
	return NEComparisonOperationKernel::validate(COP, input1, input2, output);
	}

	void NEElementwiseComparison::configure(const ITensorInfo input1, const ITensorInfo input2, ITensorInfo *output, ComparisonOperation op)
	{
	auto k = arm_compute::support::cpp14::make_unique<NEComparisonOperationKernel>();
	k->configure(op, input1, input2, output);
	_kernel = std::move(k);
	}

	Status NEElementwiseComparison::validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output, ComparisonOperation op)
	{
	return NEComparisonOperationKernel::validate(op, input1, input2, output);
	}

	// Supported Specializations
	template class NEElementwiseComparisonStatic<ComparisonOperation::Equal>;
	template class NEElementwiseComparisonStatic<ComparisonOperation::NotEqual>;
	template class NEElementwiseComparisonStatic<ComparisonOperation::Greater>;
	template class NEElementwiseComparisonStatic<ComparisonOperation::GreaterEqual>;
	template class NEElementwiseComparisonStatic<ComparisonOperation::Less>;
	template class NEElementwiseComparisonStatic<ComparisonOperation::LessEqual>;
	} // namespace experimental

	struct NEElementwiseMax::Impl
	{
	const ITensor *src_0{ nullptr };
	const ITensor *src_1{ nullptr };
	ITensor *dst{ nullptr };
	std::unique_ptr<experimental::NEElementwiseMax> op{ nullptr };
	};

	NEElementwiseMax::NEElementwiseMax()
	: _impl(support::cpp14::make_unique<Impl>())
	{
	}
	NEElementwiseMax::NEElementwiseMax(NEElementwiseMax &&) = default;
	NEElementwiseMax &NEElementwiseMax::operator=(NEElementwiseMax &&) = default;
	NEElementwiseMax::~NEElementwiseMax() = default;

	void NEElementwiseMax::configure(ITensor input1, ITensor input2, ITensor *output, const ActivationLayerInfo &act_info)
	{
	ARM_COMPUTE_UNUSED(act_info);
	_impl->src_0 = input1;
	_impl->src_1 = input2;
	_impl->dst = output;
	_impl->op = arm_compute::support::cpp14::make_unique<experimental::NEElementwiseMax>();
	_impl->op->configure(input1->info(), input2->info(), output->info());
	}

	Status NEElementwiseMax::validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
	{
	ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
	return experimental::NEElementwiseMax::validate(input1, input2, output);
	}

	void NEElementwiseMax::run()
	{
	ITensorPack pack;
	pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
	pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
	pack.add_tensor(TensorType::ACL_DST, _impl->dst);
	_impl->op->run(pack);
	}

	struct NEElementwiseMin::Impl
	{
	const ITensor *src_0{ nullptr };
	const ITensor *src_1{ nullptr };
	ITensor *dst{ nullptr };
	std::unique_ptr<experimental::NEElementwiseMin> op{ nullptr };
	};

	NEElementwiseMin::NEElementwiseMin()
	: _impl(support::cpp14::make_unique<Impl>())
	{
	}
	NEElementwiseMin::NEElementwiseMin(NEElementwiseMin &&) = default;
	NEElementwiseMin &NEElementwiseMin::operator=(NEElementwiseMin &&) = default;
	NEElementwiseMin::~NEElementwiseMin() = default;

	void NEElementwiseMin::configure(ITensor input1, ITensor input2, ITensor *output, const ActivationLayerInfo &act_info)
	{
	ARM_COMPUTE_UNUSED(act_info);
	_impl->src_0 = input1;
	_impl->src_1 = input2;
	_impl->dst = output;
	_impl->op = arm_compute::support::cpp14::make_unique<experimental::NEElementwiseMin>();
	_impl->op->configure(input1->info(), input2->info(), output->info());
	}

	Status NEElementwiseMin::validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
	{
	ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
	return experimental::NEElementwiseMin::validate(input1, input2, output);
	}

	void NEElementwiseMin::run()
	{
	ITensorPack pack;
	pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
	pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
	pack.add_tensor(TensorType::ACL_DST, _impl->dst);
	_impl->op->run(pack);
	}

	struct NEElementwiseSquaredDiff::Impl
	{
	const ITensor *src_0{ nullptr };
	const ITensor *src_1{ nullptr };
	ITensor *dst{ nullptr };
	std::unique_ptr<experimental::NEElementwiseSquaredDiff> op{ nullptr };
	};

	NEElementwiseSquaredDiff::NEElementwiseSquaredDiff()
	: _impl(support::cpp14::make_unique<Impl>())
	{
	}
	NEElementwiseSquaredDiff::NEElementwiseSquaredDiff(NEElementwiseSquaredDiff &&) = default;
	NEElementwiseSquaredDiff &NEElementwiseSquaredDiff::operator=(NEElementwiseSquaredDiff &&) = default;
	NEElementwiseSquaredDiff::~NEElementwiseSquaredDiff() = default;

	void NEElementwiseSquaredDiff::configure(ITensor input1, ITensor input2, ITensor *output, const ActivationLayerInfo &act_info)
	{
	ARM_COMPUTE_UNUSED(act_info);
	_impl->src_0 = input1;
	_impl->src_1 = input2;
	_impl->dst = output;
	_impl->op = arm_compute::support::cpp14::make_unique<experimental::NEElementwiseSquaredDiff>();
	_impl->op->configure(input1->info(), input2->info(), output->info());
	}

	Status NEElementwiseSquaredDiff::validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
	{
	ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
	return experimental::NEElementwiseSquaredDiff::validate(input1, input2, output);
	}

	void NEElementwiseSquaredDiff::run()
	{
	ITensorPack pack;
	pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
	pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
	pack.add_tensor(TensorType::ACL_DST, _impl->dst);
	_impl->op->run(pack);
	}

	struct NEElementwiseDivision::Impl
	{
	const ITensor *src_0{ nullptr };
	const ITensor *src_1{ nullptr };
	ITensor *dst{ nullptr };
	std::unique_ptr<experimental::NEElementwiseDivision> op{ nullptr };
	};

	NEElementwiseDivision::NEElementwiseDivision()
	: _impl(support::cpp14::make_unique<Impl>())
	{
	}
	NEElementwiseDivision::NEElementwiseDivision(NEElementwiseDivision &&) = default;
	NEElementwiseDivision &NEElementwiseDivision::operator=(NEElementwiseDivision &&) = default;
	NEElementwiseDivision::~NEElementwiseDivision() = default;

	void NEElementwiseDivision::configure(ITensor input1, ITensor input2, ITensor *output, const ActivationLayerInfo &act_info)
	{
	ARM_COMPUTE_UNUSED(act_info);
	_impl->src_0 = input1;
	_impl->src_1 = input2;
	_impl->dst = output;
	_impl->op = arm_compute::support::cpp14::make_unique<experimental::NEElementwiseDivision>();
	_impl->op->configure(input1->info(), input2->info(), output->info());
	}

	Status NEElementwiseDivision::validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
	{
	ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
	return experimental::NEElementwiseDivision::validate(input1, input2, output);
	}

	void NEElementwiseDivision::run()
	{
	ITensorPack pack;
	pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
	pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
	pack.add_tensor(TensorType::ACL_DST, _impl->dst);
	_impl->op->run(pack);
	}

	struct NEElementwisePower::Impl
	{
	const ITensor *src_0{ nullptr };
	const ITensor *src_1{ nullptr };
	ITensor *dst{ nullptr };
	std::unique_ptr<experimental::NEElementwisePower> op{ nullptr };
	};

	NEElementwisePower::NEElementwisePower()
	: _impl(support::cpp14::make_unique<Impl>())
	{
	}
	NEElementwisePower::NEElementwisePower(NEElementwisePower &&) = default;
	NEElementwisePower &NEElementwisePower::operator=(NEElementwisePower &&) = default;
	NEElementwisePower::~NEElementwisePower() = default;

	void NEElementwisePower::configure(ITensor input1, ITensor input2, ITensor *output, const ActivationLayerInfo &act_info)
	{
	ARM_COMPUTE_UNUSED(act_info);
	_impl->src_0 = input1;
	_impl->src_1 = input2;
	_impl->dst = output;
	_impl->op = arm_compute::support::cpp14::make_unique<experimental::NEElementwisePower>();
	_impl->op->configure(input1->info(), input2->info(), output->info());
	}

	Status NEElementwisePower::validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
	{
	ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
	return experimental::NEElementwisePower::validate(input1, input2, output);
	}

	void NEElementwisePower::run()
	{
	ITensorPack pack;
	pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
	pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
	pack.add_tensor(TensorType::ACL_DST, _impl->dst);
	_impl->op->run(pack);
	}

	template <ComparisonOperation COP>
	struct NEElementwiseComparisonStatic<COP>::Impl
	{
	const ITensor *src_0{ nullptr };
	const ITensor *src_1{ nullptr };
	ITensor *dst{ nullptr };
	std::unique_ptr<experimental::NEElementwiseComparisonStatic<COP>> op{ nullptr };
	};

	template <ComparisonOperation COP>
	NEElementwiseComparisonStatic<COP>::NEElementwiseComparisonStatic()
	: _impl(support::cpp14::make_unique<Impl>())
	{
	}
	template <ComparisonOperation COP>
	NEElementwiseComparisonStatic<COP>::NEElementwiseComparisonStatic(NEElementwiseComparisonStatic &&) = default;
	template <ComparisonOperation COP>
	NEElementwiseComparisonStatic<COP> &NEElementwiseComparisonStatic<COP>::operator=(NEElementwiseComparisonStatic &&) = default;
	template <ComparisonOperation COP>
	NEElementwiseComparisonStatic<COP>::~NEElementwiseComparisonStatic() = default;

	template <ComparisonOperation COP>
	void NEElementwiseComparisonStatic<COP>::configure(ITensor input1, ITensor input2, ITensor *output)
	{
	_impl->src_0 = input1;
	_impl->src_1 = input2;
	_impl->dst = output;
	_impl->op = arm_compute::support::cpp14::make_unique<experimental::NEElementwiseComparisonStatic<COP>>();
	_impl->op->configure(input1->info(), input2->info(), output->info());
	}

	template <ComparisonOperation COP>
	Status NEElementwiseComparisonStatic<COP>::validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output)
	{
	return experimental::NEElementwiseComparisonStatic<COP>::validate(input1, input2, output);
	}

	template <ComparisonOperation COP>
	void NEElementwiseComparisonStatic<COP>::run()
	{
	ITensorPack pack;
	pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
	pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
	pack.add_tensor(TensorType::ACL_DST, _impl->dst);
	_impl->op->run(pack);
	}

	struct NEElementwiseComparison::Impl
	{
	const ITensor *src_0{ nullptr };
	const ITensor *src_1{ nullptr };
	ITensor *dst{ nullptr };
	std::unique_ptr<experimental::NEElementwiseComparison> op{ nullptr };
	};

	NEElementwiseComparison::NEElementwiseComparison()
	: _impl(support::cpp14::make_unique<Impl>())
	{
	}
	NEElementwiseComparison::NEElementwiseComparison(NEElementwiseComparison &&) = default;
	NEElementwiseComparison &NEElementwiseComparison::operator=(NEElementwiseComparison &&) = default;
	NEElementwiseComparison::~NEElementwiseComparison() = default;

	void NEElementwiseComparison::configure(ITensor input1, ITensor input2, ITensor *output, ComparisonOperation op)
	{
	_impl->src_0 = input1;
	_impl->src_1 = input2;
	_impl->dst = output;
	_impl->op = arm_compute::support::cpp14::make_unique<experimental::NEElementwiseComparison>();
	_impl->op->configure(input1->info(), input2->info(), output->info(), op);
	}

	Status NEElementwiseComparison::validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output, ComparisonOperation op)
	{
	return experimental::NEElementwiseComparison::validate(input1, input2, output, op);
	}

	void NEElementwiseComparison::run()
	{
	ITensorPack pack;
	pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
	pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
	pack.add_tensor(TensorType::ACL_DST, _impl->dst);
	_impl->op->run(pack);
	}

	// Supported Specializations
	template class NEElementwiseComparisonStatic<ComparisonOperation::Equal>;
	template class NEElementwiseComparisonStatic<ComparisonOperation::NotEqual>;
	template class NEElementwiseComparisonStatic<ComparisonOperation::Greater>;
	template class NEElementwiseComparisonStatic<ComparisonOperation::GreaterEqual>;
	template class NEElementwiseComparisonStatic<ComparisonOperation::Less>;
	template class NEElementwiseComparisonStatic<ComparisonOperation::LessEqual>;
	} // namespace arm_compute