blob: 27c37e9425cdcaef848b93821d036f630b045079 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
|
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "NeonActivationUint8Workload.hpp"
#include "backends/ArmComputeUtils.hpp"
#include "backends/NeonLayerSupport.hpp"
namespace armnn
{
NeonActivationUint8Workload::NeonActivationUint8Workload(const ActivationQueueDescriptor& descriptor,
const WorkloadInfo& info)
: Uint8Workload<ActivationQueueDescriptor>(descriptor, info)
{
std::string reasonIfUnsupported;
if (!IsNeonActivationUint8Supported(&reasonIfUnsupported, m_Data.m_Parameters))
{
throw InvalidArgumentException(reasonIfUnsupported);
}
// Only BoundedReLu is supported (see IsNeonActivationUint8Supported)
arm_compute::ActivationLayerInfo layerInfo(arm_compute::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
m_Data.m_Parameters.m_A,
m_Data.m_Parameters.m_B);
m_Data.ValidateInputsOutputs("NeonActivationUint8Workload", 1, 1);
arm_compute::ITensor& input = static_cast<NeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output = static_cast<NeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
m_ActivationLayer.configure(&input, &output, layerInfo);
}
void NeonActivationUint8Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuAcc, "NeonActivationUint8Workload_Execute");
m_ActivationLayer.run();
}
} //namespace armnn
|