| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonMultiplicationWorkload.hpp" |
| |
| #include "NeonWorkloadUtils.hpp" |
| |
| #include <arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h> |
| |
| namespace armnn |
| { |
| |
| arm_compute::Status NeonMultiplicationWorkloadValidate(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output) |
| { |
| const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input0); |
| const arm_compute::TensorInfo aclInput2 = armcomputetensorutils::BuildArmComputeTensorInfo(input1); |
| const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); |
| |
| // At the time of writing, configure() will fail if a rounding policy other than TO_ZERO is supplied to it, |
| // when providing a scale of 1.0 for F32 tensors, even though the provided rounding policy appears to be |
| // ignored for F32 tensors. |
| return arm_compute::NEPixelWiseMultiplication::validate(&aclInput1, |
| &aclInput2, |
| &aclOutput, |
| 1.0f, |
| arm_compute::ConvertPolicy::SATURATE, |
| arm_compute::RoundingPolicy::TO_ZERO); |
| } |
| |
| NeonMultiplicationWorkload::NeonMultiplicationWorkload(const MultiplicationQueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : BaseWorkload<MultiplicationQueueDescriptor>(descriptor, info) |
| { |
| m_Data.ValidateInputsOutputs("NeonMultiplicationWorkload", 2, 1); |
| |
| arm_compute::ITensor& input1 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& input2 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); |
| arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| |
| // At the time of writing, configure() will fail if a rounding policy other than TO_ZERO is supplied to it, |
| // when providing a scale of 1.0 for F32 tensors, even though the provided rounding policy appears to be |
| // ignored for F32 tensors. |
| auto layer = std::make_unique<arm_compute::NEPixelWiseMultiplication>(); |
| layer->configure(&input1, |
| &input2, |
| &output, |
| 1.0f, |
| arm_compute::ConvertPolicy::SATURATE, |
| arm_compute::RoundingPolicy::TO_ZERO); |
| m_PixelWiseMultiplication.reset(layer.release()); |
| } |
| |
| void NeonMultiplicationWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonMultiplicationWorkload_Execute"); |
| m_PixelWiseMultiplication->run(); |
| } |
| |
| } //namespace armnn |