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
|
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "FakeQuantizationLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backends/WorkloadData.hpp>
#include <backends/WorkloadFactory.hpp>
namespace armnn
{
FakeQuantizationLayer::FakeQuantizationLayer(const FakeQuantizationDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::FakeQuantization, param, name)
{
}
std::unique_ptr<IWorkload> FakeQuantizationLayer::CreateWorkload(const Graph& graph,
const IWorkloadFactory& factory) const
{
FakeQuantizationQueueDescriptor descriptor;
return factory.CreateFakeQuantization(descriptor, PrepInfoAndDesc(descriptor, graph) );
}
FakeQuantizationLayer* FakeQuantizationLayer::Clone(Graph& graph) const
{
return CloneBase<FakeQuantizationLayer>(graph, m_Param, GetName());
}
void FakeQuantizationLayer::ValidateTensorShapesFromInputs()
{
ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr,
"FakeQuantizationLayer: InputSlot must be connected to an OutputSlot");
ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection()->IsTensorInfoSet(),
"FakeQuantizationLayer: TensorInfo must be set on connected OutputSlot.");
IOutputSlot* input = GetInputSlot(0).GetConnection();
// input and output shapes are the same
TensorShape const& outShape = input->GetTensorInfo().GetShape();
ConditionalThrowIfNotEqual<LayerValidationException>(
"FakeQuantizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
outShape);
}
} // namespace armnn
|
