| /* |
| * 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 <arm_compute/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, const ActivationLayerInfo &act_info) |
| { |
| ARM_COMPUTE_UNUSED(act_info); |
| 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, const ActivationLayerInfo &act_info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled()); |
| return NEArithmeticOperationKernel::validate(ArithmeticOperation::MAX, input1, input2, output); |
| } |
| |
| MemoryRequirements NEElementwiseMax::workspace() const |
| { |
| return MemoryRequirements{}; |
| } |
| |
| void NEElementwiseMin::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info) |
| { |
| ARM_COMPUTE_UNUSED(act_info); |
| 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, const ActivationLayerInfo &act_info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled()); |
| return NEArithmeticOperationKernel::validate(ArithmeticOperation::MIN, input1, input2, output); |
| } |
| |
| MemoryRequirements NEElementwiseMin::workspace() const |
| { |
| return MemoryRequirements{}; |
| } |
| |
| void NEElementwiseSquaredDiff::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info) |
| { |
| ARM_COMPUTE_UNUSED(act_info); |
| 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, const ActivationLayerInfo &act_info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled()); |
| return NEArithmeticOperationKernel::validate(ArithmeticOperation::SQUARED_DIFF, input1, input2, output); |
| } |
| |
| MemoryRequirements NEElementwiseSquaredDiff::workspace() const |
| { |
| return MemoryRequirements{}; |
| } |
| |
| void NEElementwiseDivision::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info) |
| { |
| ARM_COMPUTE_UNUSED(act_info); |
| 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, const ActivationLayerInfo &act_info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled()); |
| return NEDivisionOperationKernel::validate(input1, input2, output); |
| } |
| |
| MemoryRequirements NEElementwiseDivision::workspace() const |
| { |
| return MemoryRequirements{}; |
| } |
| |
| void NEElementwisePower::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info) |
| { |
| ARM_COMPUTE_UNUSED(act_info); |
| 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, const ActivationLayerInfo &act_info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled()); |
| return NEPowerOperationKernel::validate(input1, input2, output); |
| } |
| |
| MemoryRequirements NEElementwisePower::workspace() const |
| { |
| return MemoryRequirements{}; |
| } |
| |
| 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); |
| } |
| |
| template <ComparisonOperation COP> |
| MemoryRequirements NEElementwiseComparisonStatic<COP>::workspace() const |
| { |
| return MemoryRequirements{}; |
| } |
| |
| 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); |
| } |
| |
| MemoryRequirements NEElementwiseComparison::workspace() const |
| { |
| return MemoryRequirements{}; |
| } |
| |
| // 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) |
| { |
| _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(), act_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, act_info); |
| } |
| |
| void NEElementwiseMax::run() |
| { |
| const InputTensorMap src{ { TensorType::ACL_SRC_0, _impl->src_0 }, { TensorType::ACL_SRC_1, _impl->src_1 } }; |
| const OutputTensorMap dst{ { TensorType::ACL_DST, _impl->dst } }; |
| _impl->op->run(src, dst, {}); |
| } |
| |
| 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) |
| { |
| _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(), act_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, act_info); |
| } |
| |
| void NEElementwiseMin::run() |
| { |
| const InputTensorMap src{ { TensorType::ACL_SRC_0, _impl->src_0 }, { TensorType::ACL_SRC_1, _impl->src_1 } }; |
| const OutputTensorMap dst{ { TensorType::ACL_DST, _impl->dst } }; |
| _impl->op->run(src, dst, {}); |
| } |
| |
| 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) |
| { |
| _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(), act_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, act_info); |
| } |
| |
| void NEElementwiseSquaredDiff::run() |
| { |
| const InputTensorMap src{ { TensorType::ACL_SRC_0, _impl->src_0 }, { TensorType::ACL_SRC_1, _impl->src_1 } }; |
| const OutputTensorMap dst{ { TensorType::ACL_DST, _impl->dst } }; |
| _impl->op->run(src, dst, {}); |
| } |
| |
| 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(), act_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, act_info); |
| } |
| |
| void NEElementwiseDivision::run() |
| { |
| const InputTensorMap src{ { TensorType::ACL_SRC_0, _impl->src_0 }, { TensorType::ACL_SRC_1, _impl->src_1 } }; |
| const OutputTensorMap dst{ { TensorType::ACL_DST, _impl->dst } }; |
| _impl->op->run(src, dst, {}); |
| } |
| |
| 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(), act_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, act_info); |
| } |
| |
| void NEElementwisePower::run() |
| { |
| const InputTensorMap src{ { TensorType::ACL_SRC_0, _impl->src_0 }, { TensorType::ACL_SRC_1, _impl->src_1 } }; |
| const OutputTensorMap dst{ { TensorType::ACL_DST, _impl->dst } }; |
| _impl->op->run(src, dst, {}); |
| } |
| |
| 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() |
| { |
| const InputTensorMap src{ { TensorType::ACL_SRC_0, _impl->src_0 }, { TensorType::ACL_SRC_1, _impl->src_1 } }; |
| const OutputTensorMap dst{ { TensorType::ACL_DST, _impl->dst } }; |
| _impl->op->run(src, dst, {}); |
| } |
| |
| 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() |
| { |
| const InputTensorMap src{ { TensorType::ACL_SRC_0, _impl->src_0 }, { TensorType::ACL_SRC_1, _impl->src_1 } }; |
| const OutputTensorMap dst{ { TensorType::ACL_DST, _impl->dst } }; |
| _impl->op->run(src, dst, {}); |
| } |
| |
| // 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 |