| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonActivationWorkload.hpp" |
| #include <aclCommon/ArmComputeUtils.hpp> |
| |
| namespace armnn |
| { |
| |
| arm_compute::Status NeonActivationWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const ActivationDescriptor& descriptor) |
| { |
| const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input); |
| const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); |
| |
| const arm_compute::ActivationLayerInfo activationLayerInfo = |
| ConvertActivationDescriptorToAclActivationLayerInfo(descriptor); |
| |
| if (input.GetDataType() == DataType::QuantisedAsymm8 && |
| activationLayerInfo.activation() == arm_compute::ActivationLayerInfo::ActivationFunction::LOGISTIC) |
| { |
| return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR, |
| "Neon: Logistic Activations unsupported with QAsymm8 data type."}; |
| } |
| |
| return arm_compute::NEActivationLayer::validate(&aclInput, |
| &aclOutput, |
| activationLayerInfo); |
| } |
| |
| NeonActivationWorkload::NeonActivationWorkload(const ActivationQueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : BaseWorkload<ActivationQueueDescriptor>(descriptor, info) |
| { |
| m_Data.ValidateInputsOutputs("NeonActivationWorkload", 1, 1); |
| |
| const arm_compute::ActivationLayerInfo activationLayerInfo = |
| ConvertActivationDescriptorToAclActivationLayerInfo(m_Data.m_Parameters); |
| |
| arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| |
| m_ActivationLayer.configure(&input, &output, activationLayerInfo); |
| } |
| |
| void NeonActivationWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonActivationWorkload_Execute"); |
| m_ActivationLayer.run(); |
| } |
| |
| } //namespace armnn |