| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ElementwiseBaseLayer.hpp" |
| |
| #include "InternalTypes.hpp" |
| #include "armnn/Exceptions.hpp" |
| #include <armnn/TypesUtils.hpp> |
| |
| #include <boost/assert.hpp> |
| |
| namespace armnn |
| { |
| |
| ElementwiseBaseLayer::ElementwiseBaseLayer(unsigned int numInputSlots, unsigned int numOutputSlots, |
| LayerType type, const char* name) |
| : Layer(numInputSlots, numOutputSlots, type, name) |
| { |
| } |
| |
| std::vector<TensorShape> ElementwiseBaseLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const |
| { |
| BOOST_ASSERT(inputShapes.size() == 2); |
| auto& input0 = inputShapes[0]; |
| auto& input1 = inputShapes[1]; |
| |
| // Get the max of the inputs. |
| BOOST_ASSERT(input0.GetNumDimensions() == input1.GetNumDimensions()); |
| unsigned int numDims = input0.GetNumDimensions(); |
| std::vector<unsigned int> dims(numDims); |
| |
| for (unsigned int i = 0; i < numDims; i++) |
| { |
| unsigned int dim0 = input0[i]; |
| unsigned int dim1 = input1[i]; |
| |
| #if !NDEBUG |
| // Validate inputs are broadcast compatible. |
| BOOST_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1, |
| "Dimensions should either match or one should be of size 1."); |
| #endif |
| |
| dims[i] = std::max(dim0, dim1); |
| } |
| |
| return std::vector<TensorShape>({ TensorShape(numDims, dims.data()) }); |
| } |
| |
| void ElementwiseBaseLayer::ValidateTensorShapesFromInputs() |
| { |
| VerifyLayerConnections(2, CHECK_LOCATION()); |
| |
| auto inferredShapes = InferOutputShapes({ |
| GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(), |
| GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape() |
| }); |
| |
| BOOST_ASSERT(inferredShapes.size() == 1); |
| |
| std::string msg = GetLayerTypeAsCString(GetType()); |
| msg += "Layer: TensorShape set on OutputSlot[0] does not match the inferred shape."; |
| ConditionalThrowIfNotEqual<LayerValidationException>(msg, |
| GetOutputSlot(0).GetTensorInfo().GetShape(), |
| inferredShapes[0]); |
| } |
| |
| } // namespace armnn |