blob: c958adf97c1a21292fbd9b80b9e6db9e97b16dc2 [file] [log] [blame]
/*
* Copyright (c) 2018-2021 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.
*/
#include "arm_compute/runtime/NEON/functions/NEElementwiseOperations.h"
#include "arm_compute/core/Validate.h"
#include "src/cpu/operators/CpuElementwise.h"
#include "arm_compute/core/ITensor.h"
#include <utility>
namespace arm_compute
{
struct NEElementwiseMax::Impl
{
const ITensor *src_0{ nullptr };
const ITensor *src_1{ nullptr };
ITensor *dst{ nullptr };
std::unique_ptr<cpu::CpuElementwiseMax> op{ nullptr };
};
NEElementwiseMax::NEElementwiseMax()
: _impl(std::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 = std::make_unique<cpu::CpuElementwiseMax>();
_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 cpu::CpuElementwiseMax::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<cpu::CpuElementwiseMin> op{ nullptr };
};
NEElementwiseMin::NEElementwiseMin()
: _impl(std::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 = std::make_unique<cpu::CpuElementwiseMin>();
_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 cpu::CpuElementwiseMin::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<cpu::CpuElementwiseSquaredDiff> op{ nullptr };
};
NEElementwiseSquaredDiff::NEElementwiseSquaredDiff()
: _impl(std::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 = std::make_unique<cpu::CpuElementwiseSquaredDiff>();
_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 cpu::CpuElementwiseSquaredDiff::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<cpu::CpuElementwiseDivision> op{ nullptr };
};
NEElementwiseDivision::NEElementwiseDivision()
: _impl(std::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 = std::make_unique<cpu::CpuElementwiseDivision>();
_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 cpu::CpuElementwiseDivision::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<cpu::CpuElementwisePower> op{ nullptr };
};
NEElementwisePower::NEElementwisePower()
: _impl(std::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 = std::make_unique<cpu::CpuElementwisePower>();
_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 cpu::CpuElementwisePower::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<cpu::CpuElementwiseComparisonStatic<COP>> op{ nullptr };
};
template <ComparisonOperation COP>
NEElementwiseComparisonStatic<COP>::NEElementwiseComparisonStatic()
: _impl(std::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 = std::make_unique<cpu::CpuElementwiseComparisonStatic<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 cpu::CpuElementwiseComparisonStatic<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<cpu::CpuElementwiseComparison> op{ nullptr };
};
NEElementwiseComparison::NEElementwiseComparison()
: _impl(std::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 = std::make_unique<cpu::CpuElementwiseComparison>();
_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 cpu::CpuElementwiseComparison::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