diff options
Diffstat (limited to 'src/armnn/layers/ElementwiseBinaryLayer.cpp')
| -rw-r--r-- | src/armnn/layers/ElementwiseBinaryLayer.cpp | 22 |
1 files changed, 17 insertions, 5 deletions
diff --git a/src/armnn/layers/ElementwiseBinaryLayer.cpp b/src/armnn/layers/ElementwiseBinaryLayer.cpp index 67619fc463..5459aafbca 100644 --- a/src/armnn/layers/ElementwiseBinaryLayer.cpp +++ b/src/armnn/layers/ElementwiseBinaryLayer.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2024 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -30,7 +30,12 @@ ElementwiseBinaryLayer* ElementwiseBinaryLayer::Clone(Graph& graph) const std::vector<TensorShape> ElementwiseBinaryLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const { - ARMNN_ASSERT(inputShapes.size() == 2); + if (inputShapes.size() != 2) + { + throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) + + "\" - should be \"2\"."); + } + TensorShape input0 = inputShapes[0]; TensorShape input1 = inputShapes[1]; @@ -51,8 +56,10 @@ std::vector<TensorShape> ElementwiseBinaryLayer::InferOutputShapes(const std::ve unsigned int dim1 = input1[i - shiftedDims]; // Validate inputs are broadcast compatible. - ARMNN_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1, - "Dimensions should either match or one should be of size 1."); + if (dim0 != dim1 && dim0 != 1 && dim1 != 1) + { + throw armnn::Exception("Dimensions should either match or one should be of size 1."); + } dims[i] = std::max(dim0, dim1); } @@ -77,7 +84,12 @@ void ElementwiseBinaryLayer::ValidateTensorShapesFromInputs() auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape(), GetInputSlot(1).GetTensorInfo().GetShape() }); - ARMNN_ASSERT(inferredShapes.size() == 1); + if (inferredShapes.size() != 1) + { + throw armnn::LayerValidationException("inferredShapes has " + + std::to_string(inferredShapes.size()) + + " elements - should only have 1."); + } ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, GetLayerTypeAsCString(GetType())); } |