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
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
|
//
// Copyright © 2019 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "SliceLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <armnn/utility/NumericCast.hpp>
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
namespace armnn
{
SliceLayer::SliceLayer(const SliceDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::Slice, param, name)
{
}
std::unique_ptr<IWorkload> SliceLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
SliceQueueDescriptor descriptor;
SetAdditionalInfo(descriptor);
return factory.CreateWorkload(LayerType::Slice, descriptor, PrepInfoAndDesc(descriptor));
}
SliceLayer* SliceLayer::Clone(Graph& graph) const
{
return CloneBase<SliceLayer>(graph, m_Param, GetName());
}
void SliceLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
ARMNN_ASSERT(inferredShapes.size() == 1);
ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SliceLayer");
}
std::vector<TensorShape> SliceLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
IgnoreUnused(inputShapes);
ARMNN_ASSERT(inputShapes.size() == 1);
TensorShape outputShape(armnn::numeric_cast<unsigned int>(m_Param.m_Size.size()), m_Param.m_Size.data());
return std::vector<TensorShape>({ outputShape });
}
void SliceLayer::ExecuteStrategy(IStrategy& strategy) const
{
strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
}
} // namespace armnn
|