diff options
Diffstat (limited to 'src/armnn/layers/ElementwiseUnaryLayer.cpp')
| -rw-r--r-- | src/armnn/layers/ElementwiseUnaryLayer.cpp | 17 |
1 files changed, 14 insertions, 3 deletions
diff --git a/src/armnn/layers/ElementwiseUnaryLayer.cpp b/src/armnn/layers/ElementwiseUnaryLayer.cpp index c648f9b863..791a3d5d89 100644 --- a/src/armnn/layers/ElementwiseUnaryLayer.cpp +++ b/src/armnn/layers/ElementwiseUnaryLayer.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2020-2024 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -34,7 +34,12 @@ ElementwiseUnaryLayer* ElementwiseUnaryLayer::Clone(Graph& graph) const std::vector<TensorShape> ElementwiseUnaryLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const { // Should return the shape of the input tensor - ARMNN_ASSERT(inputShapes.size() == 1); + if (inputShapes.size() != 1) + { + throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) + + "\" - should be \"1\"."); + } + const TensorShape& input = inputShapes[0]; return std::vector<TensorShape>({ input }); @@ -50,7 +55,13 @@ void ElementwiseUnaryLayer::ValidateTensorShapesFromInputs() std::vector<TensorShape> inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape()}); - ARMNN_ASSERT(inferredShapes.size() == 1); + + if (inferredShapes.size() != 1) + { + throw armnn::Exception("inferredShapes has " + + std::to_string(inferredShapes.size()) + + " elements - should only have 1."); + } ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, GetLayerTypeAsCString(GetType())); } |