| // |
| // Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonQuantizeWorkload.hpp" |
| #include "NeonWorkloadUtils.hpp" |
| |
| #include <neon/NeonTensorHandle.hpp> |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| #include <armnn/utility/PolymorphicDowncast.hpp> |
| #include <arm_compute/core/Types.h> |
| |
| namespace armnn |
| { |
| using namespace armcomputetensorutils; |
| |
| arm_compute::Status NeonQuantizeWorkloadValidate(const TensorInfo& input, const TensorInfo& output) |
| { |
| const arm_compute::TensorInfo neonInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input); |
| const arm_compute::TensorInfo neonOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output); |
| |
| return arm_compute::NEQuantizationLayer::validate(&neonInputInfo, &neonOutputInfo); |
| } |
| |
| NeonQuantizeWorkload::NeonQuantizeWorkload(const QuantizeQueueDescriptor& descriptor, |
| const WorkloadInfo& workloadInfo) |
| : NeonBaseWorkload<QuantizeQueueDescriptor>(descriptor, workloadInfo) |
| { |
| m_Data.ValidateInputsOutputs("NeonQuantizeWorkload", 1, 1); |
| |
| arm_compute::ITensor& input = PolymorphicPointerDowncast<IAclTensorHandle>( |
| m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& output = PolymorphicPointerDowncast<IAclTensorHandle>( |
| m_Data.m_Outputs[0])->GetTensor(); |
| |
| m_Layer.reset(new arm_compute::NEQuantizationLayer()); |
| m_Layer->configure(&input, &output); |
| m_Layer->prepare(); |
| } |
| |
| void NeonQuantizeWorkload::Execute() const |
| { |
| if (m_Layer) |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonQuantizeWorkload_Execute"); |
| m_Layer->run(); |
| } |
| } |
| |
| } // namespace armnn |