blob: 4f3ea2c3c1b141574b00e55fc51137ce1cc671ca (
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
43
44
45
46
47
48
49
50
51
52
|
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonQuantizeWorkload.hpp"
#include "NeonWorkloadUtils.hpp"
#include <neon/NeonTensorHandle.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <arm_compute/core/Types.h>
#include <boost/polymorphic_pointer_cast.hpp>
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)
: BaseWorkload<QuantizeQueueDescriptor>(descriptor, workloadInfo)
{
m_Data.ValidateInputsOutputs("NeonQuantizeWorkload", 1, 1);
arm_compute::ITensor& input = boost::polymorphic_pointer_downcast<IAclTensorHandle>(
m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output = boost::polymorphic_pointer_downcast<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("NeonQuantizeWorkload_Execute");
m_Layer->run();
}
}
} // namespace armnn
|
