1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "ElementwiseBaseLayer.hpp"
7
8 #include "InternalTypes.hpp"
9 #include "armnn/Exceptions.hpp"
10 #include <armnn/TypesUtils.hpp>
11 #include <armnn/utility/Assert.hpp>
12
13 namespace armnn
14 {
15
ElementwiseBaseLayer(unsigned int numInputSlots,unsigned int numOutputSlots,LayerType type,const char * name)16 ElementwiseBaseLayer::ElementwiseBaseLayer(unsigned int numInputSlots, unsigned int numOutputSlots,
17 LayerType type, const char* name)
18 : Layer(numInputSlots, numOutputSlots, type, name)
19 {
20 }
21
InferOutputShapes(const std::vector<TensorShape> & inputShapes) const22 std::vector<TensorShape> ElementwiseBaseLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
23 {
24 ARMNN_ASSERT(inputShapes.size() == 2);
25 TensorShape input0 = inputShapes[0];
26 TensorShape input1 = inputShapes[1];
27
28 if (m_ShapeInferenceMethod == ShapeInferenceMethod::ValidateOnly)
29 {
30 ARMNN_ASSERT(input0.GetNumDimensions() == input1.GetNumDimensions());
31 }
32 else if (m_ShapeInferenceMethod == ShapeInferenceMethod::InferAndValidate &&
33 inputShapes[0].GetNumDimensions() < inputShapes[1].GetNumDimensions())
34 {
35 input1 = inputShapes[0];
36 input0 = inputShapes[1];
37 }
38
39 unsigned int numDims = input0.GetNumDimensions();
40 unsigned int shiftedDims = input0.GetNumDimensions() - input1.GetNumDimensions();
41
42 // Get the max of the inputs.
43 std::vector<unsigned int> dims(numDims);
44 for (unsigned int i = shiftedDims; i < numDims; i++)
45 {
46 unsigned int dim0 = input0[i];
47 unsigned int dim1 = input1[i - shiftedDims];
48
49 #if !NDEBUG
50 // Validate inputs are broadcast compatible.
51 ARMNN_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1,
52 "Dimensions should either match or one should be of size 1.");
53 #endif
54
55 dims[i] = std::max(dim0, dim1);
56 }
57
58 // Fill in the rest of the shifted dimensions.
59 for (unsigned int i = 0; i < shiftedDims; i++)
60 {
61 dims[i] = input0[i];
62 }
63
64 return std::vector<TensorShape>({ TensorShape(numDims, dims.data()) });
65 }
66
ValidateTensorShapesFromInputs()67 void ElementwiseBaseLayer::ValidateTensorShapesFromInputs()
68 {
69 VerifyLayerConnections(2, CHECK_LOCATION());
70
71 const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
72
73 VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
74
75 auto inferredShapes = InferOutputShapes({
76 GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(),
77 GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape()
78 });
79
80 ARMNN_ASSERT(inferredShapes.size() == 1);
81
82 ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, GetLayerTypeAsCString(GetType()));
83 }
84
85 } // namespace armnn
86