diff options
Diffstat (limited to 'src/armnn/layers/PadLayer.cpp')
| -rw-r--r-- | src/armnn/layers/PadLayer.cpp | 31 |
1 files changed, 26 insertions, 5 deletions
diff --git a/src/armnn/layers/PadLayer.cpp b/src/armnn/layers/PadLayer.cpp index 0024ba5541..4b0b0e1d49 100644 --- a/src/armnn/layers/PadLayer.cpp +++ b/src/armnn/layers/PadLayer.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -41,12 +41,28 @@ PadLayer* PadLayer::Clone(Graph& graph) const std::vector<TensorShape> PadLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const { - 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& inputShape = inputShapes[0]; unsigned int rank = inputShape.GetNumDimensions(); - ARMNN_ASSERT(m_Param.m_PadList.size() == rank); - ARMNN_ASSERT(rank != 0); + + if (m_Param.m_PadList.size() != rank) + { + throw armnn::Exception("Mismatch in size of mPadList and rank (\"" + + std::to_string(m_Param.m_PadList.size()) + + "\" vs " + + std::to_string(rank) + ")"); + } + + if (rank == 0) + { + throw armnn::Exception("rank must not equal 0."); + } std::vector<unsigned int> outputDimensionSizes(rank); for (unsigned int i = 0; i < rank; ++i) @@ -68,7 +84,12 @@ void PadLayer::ValidateTensorShapesFromInputs() auto inferredShapes = InferOutputShapes({ GetInputSlot(0).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, "PadLayer"); } |