blob: dc6e3a3759ec36cef0d44bc97b68f5cd32df46bb [file] [log] [blame]
Teresa Charlin06145cc2022-05-05 15:31:30 +01001//
2// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5
6#include "NeonSqrtWorkload.hpp"
7
8#include "NeonWorkloadUtils.hpp"
9
10#include <aclCommon/ArmComputeTensorHandle.hpp>
11#include <aclCommon/ArmComputeTensorUtils.hpp>
12#include <aclCommon/ArmComputeUtils.hpp>
13#include <armnn/utility/PolymorphicDowncast.hpp>
14
15namespace armnn
16{
17
18arm_compute::Status NeonSqrtWorkloadValidate(const TensorInfo& input, const TensorInfo& output)
19{
20 const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input);
21 const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
22
23 ActivationDescriptor descriptor;
24 descriptor.m_Function = ActivationFunction::Sqrt;
25 const arm_compute::ActivationLayerInfo activationLayerInfo =
26 ConvertActivationDescriptorToAclActivationLayerInfo(descriptor);
27
28 return arm_compute::NEActivationLayer::validate(&aclInput, &aclOutput, activationLayerInfo);
29}
30
31NeonSqrtWorkload::NeonSqrtWorkload(const ElementwiseUnaryQueueDescriptor& descriptor, const WorkloadInfo& info)
32 : NeonBaseWorkload<ElementwiseUnaryQueueDescriptor>(descriptor, info)
33{
34 ARMNN_ASSERT(descriptor.m_Parameters.m_Operation == UnaryOperation::Sqrt);
35
36 ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonSqrtWorkload_Construct",
37 descriptor.m_Parameters,
38 info,
39 this->GetGuid());
40
41 m_Data.ValidateInputsOutputs("NeonSqrtWorkload", 1, 1);
42
43 ActivationDescriptor activationDescriptor;
44 activationDescriptor.m_Function = ActivationFunction::Sqrt;
45 const arm_compute::ActivationLayerInfo activationLayerInfo =
46 ConvertActivationDescriptorToAclActivationLayerInfo(activationDescriptor);
47
48 arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
49 arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
50
51 m_SqrtLayer.configure(&input, &output, activationLayerInfo);
52}
53
54void NeonSqrtWorkload::Execute() const
55{
56 ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonSqrtWorkload_Execute", this->GetGuid());
57 m_SqrtLayer.run();
58}
59
60} // namespace armnn