blob: e45d24a0bd60109a7df20c8888e29cb8b75e4168 (
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
|
//
// Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefLogSoftmaxWorkload.hpp"
#include "Decoders.hpp"
#include "Encoders.hpp"
#include "LogSoftmax.hpp"
#include "RefWorkloadUtils.hpp"
#include <Profiling.hpp>
#include <armnn/utility/Assert.hpp>
namespace armnn
{
void RefLogSoftmaxWorkload::Execute() const
{
Execute(m_Data.m_Inputs, m_Data.m_Outputs);
}
void RefLogSoftmaxWorkload::ExecuteAsync(ExecutionData& executionData)
{
WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
}
void RefLogSoftmaxWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
{
ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefLogSoftmaxWorkload_Execute");
const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
std::unique_ptr<Decoder<float>> decoder = MakeDecoder<float>(inputInfo, inputs[0]->Map());
std::unique_ptr<Encoder<float>> encoder = MakeEncoder<float>(outputInfo, outputs[0]->Map());
ARMNN_ASSERT(decoder != nullptr);
ARMNN_ASSERT(encoder != nullptr);
LogSoftmax(*decoder, *encoder, inputInfo, m_Data.m_Parameters);
}
} // namespace armnn
|
