17 unsigned int numOutputSlots,
20 :
Layer(numInputSlots, numOutputSlots, type, name)
33 std::stringstream errorMessage;
35 errorMessage <<
"The tensor inputs to an element-wise operator are expected to have equal number of " 36 "dimensions. First = " 42 inputShapes[0].GetNumDimensions() < inputShapes[1].GetNumDimensions())
44 input1 = inputShapes[0];
45 input0 = inputShapes[1];
49 unsigned int shiftedDims = input0.GetNumDimensions() - input1.
GetNumDimensions();
52 std::vector<unsigned int> dims(numDims);
53 for (
unsigned int i = shiftedDims; i < numDims; i++)
55 unsigned int dim0 = input0[i];
56 unsigned int dim1 = input1[i - shiftedDims];
61 "Dimensions should either match or one should be of size 1.");
64 dims[i] = std::max(dim0, dim1);
68 for (
unsigned int i = 0; i < shiftedDims; i++)
73 return std::vector<TensorShape>({
TensorShape(numDims, dims.data()) });
const TensorShape & GetShape() const
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties.
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Copyright (c) 2021 ARM Limited and Contributors.
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Base class for all descriptors.
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
#define ARMNN_ASSERT_MSG(COND, MSG)
Validate all output shapes.
LayerType GetType() const override
Returns the armnn::LayerType of this layer.
#define ARMNN_ASSERT(COND)
virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0
ElementwiseBaseLayer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)
unsigned int GetNumDimensions() const
Function that returns the tensor rank.
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Infer missing output shapes and validate all output shapes.
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
const TensorInfo & GetTensorInfo() const override
const char * GetLayerTypeAsCString(LayerType type)
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of the element wise operation...
ShapeInferenceMethod m_ShapeInferenceMethod
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...