diff options
Diffstat (limited to 'src/armnn/layers/FullyConnectedLayer.cpp')
-rw-r--r-- | src/armnn/layers/FullyConnectedLayer.cpp | 22 |
1 files changed, 18 insertions, 4 deletions
diff --git a/src/armnn/layers/FullyConnectedLayer.cpp b/src/armnn/layers/FullyConnectedLayer.cpp index 87a8adacaa..5b6b2a34d0 100644 --- a/src/armnn/layers/FullyConnectedLayer.cpp +++ b/src/armnn/layers/FullyConnectedLayer.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 // #include "FullyConnectedLayer.hpp" @@ -34,7 +34,12 @@ FullyConnectedLayer* FullyConnectedLayer::Clone(Graph& graph) const std::vector<TensorShape> FullyConnectedLayer::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\"."); + } + const TensorShape& inputShape = inputShapes[0]; const TensorShape weightShape = inputShapes[1]; @@ -55,8 +60,17 @@ void FullyConnectedLayer::ValidateTensorShapesFromInputs() {GetInputSlot(0).GetTensorInfo().GetShape(), GetInputSlot(1).GetTensorInfo().GetShape()}); - ARMNN_ASSERT(inferredShapes.size() == 1); - ARMNN_ASSERT(inferredShapes[0].GetDimensionality() == Dimensionality::Specified); + if (inferredShapes.size() != 1) + { + throw armnn::LayerValidationException("inferredShapes has " + + std::to_string(inferredShapes.size()) + + " elements - should only have 1."); + } + + if (inferredShapes[0].GetDimensionality() != Dimensionality::Specified) + { + throw armnn::LayerValidationException("inferredShapes' dimensionality has not been specified."); + } ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "FullyConnectedLayer"); } |