1 //
2 // Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "LogicalBinaryLayer.hpp"
7
8 #include "LayerCloneBase.hpp"
9
10 #include <armnn/backends/WorkloadData.hpp>
11 #include <armnn/backends/WorkloadFactory.hpp>
12
13 #include <algorithm>
14
15 namespace armnn
16 {
17
LogicalBinaryLayer(const LogicalBinaryDescriptor & param,const char * name)18 LogicalBinaryLayer::LogicalBinaryLayer(const LogicalBinaryDescriptor& param, const char* name)
19 : LayerWithParameters(2, 1, LayerType::LogicalBinary, param, name)
20 {
21 }
22
CreateWorkload(const IWorkloadFactory & factory) const23 std::unique_ptr<IWorkload> LogicalBinaryLayer::CreateWorkload(const IWorkloadFactory& factory) const
24 {
25 LogicalBinaryQueueDescriptor descriptor;
26 return factory.CreateWorkload(LayerType::LogicalBinary, descriptor, PrepInfoAndDesc(descriptor));
27 }
28
Clone(Graph & graph) const29 LogicalBinaryLayer* LogicalBinaryLayer::Clone(Graph& graph) const
30 {
31 return CloneBase<LogicalBinaryLayer>(graph, m_Param, GetName());
32 }
33
InferOutputShapes(const std::vector<TensorShape> & inputShapes) const34 std::vector<TensorShape> LogicalBinaryLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
35 {
36 ARMNN_ASSERT(inputShapes.size() == 2);
37 const TensorShape& input0 = inputShapes[0];
38 const TensorShape& input1 = inputShapes[1];
39
40 ARMNN_ASSERT(input0.GetNumDimensions() == input1.GetNumDimensions());
41 unsigned int numDims = input0.GetNumDimensions();
42
43 std::vector<unsigned int> dims(numDims);
44 for (unsigned int i = 0; i < numDims; i++)
45 {
46 unsigned int dim0 = input0[i];
47 unsigned int dim1 = input1[i];
48
49 ARMNN_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1,
50 "Dimensions should either match or one should be of size 1.");
51
52 dims[i] = std::max(dim0, dim1);
53 }
54
55 return std::vector<TensorShape>({ TensorShape(numDims, dims.data()) });
56 }
57
ValidateTensorShapesFromInputs()58 void LogicalBinaryLayer::ValidateTensorShapesFromInputs()
59 {
60 VerifyLayerConnections(2, CHECK_LOCATION());
61
62 const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
63
64 VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
65
66 std::vector<TensorShape> inferredShapes = InferOutputShapes({
67 GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(),
68 GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape()
69 });
70 ARMNN_ASSERT(inferredShapes.size() == 1);
71
72 ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "LogicalBinaryLayer");
73 }
74
ExecuteStrategy(IStrategy & strategy) const75 void LogicalBinaryLayer::ExecuteStrategy(IStrategy& strategy) const
76 {
77 strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
78 }
79
80 } // namespace armnn
81