diff options
author | Declan-ARM <decmce01@arm.com> | 2024-03-12 16:40:25 +0000 |
---|---|---|
committer | Colm Donelan <colm.donelan@arm.com> | 2024-03-13 10:07:56 +0000 |
commit | 7c75e336fbeeec052a1cb90c68d1caece332c176 (patch) | |
tree | 8fac689c1b4192522f5fa98bccbfab12b8e08afe /src/armnn/layers/Convolution3dLayer.cpp | |
parent | 93bbf00d968101fb9a9174ad011b655ca7100546 (diff) | |
download | armnn-7c75e336fbeeec052a1cb90c68d1caece332c176.tar.gz |
IVGCVSW-7853 Assert audit and removal
* src/armnn
* src/armnn/layers
Signed-off-by: Declan-ARM <decmce01@arm.com>
Change-Id: Ic78cbbb59e90fbb15f893205a358c45264243721
Diffstat (limited to 'src/armnn/layers/Convolution3dLayer.cpp')
-rw-r--r-- | src/armnn/layers/Convolution3dLayer.cpp | 44 |
1 files changed, 35 insertions, 9 deletions
diff --git a/src/armnn/layers/Convolution3dLayer.cpp b/src/armnn/layers/Convolution3dLayer.cpp index 2d697beb1f..89ea0042ce 100644 --- a/src/armnn/layers/Convolution3dLayer.cpp +++ b/src/armnn/layers/Convolution3dLayer.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2021-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2021-2024 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -61,15 +61,34 @@ Convolution3dLayer* Convolution3dLayer::Clone(Graph& graph) const std::vector<TensorShape> Convolution3dLayer::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& filterShape = inputShapes[1]; - ARMNN_ASSERT_MSG(inputShape.GetNumDimensions() == 5, "Convolutions will always have 5D input."); + if (inputShape.GetNumDimensions() != 5) + { + throw armnn::Exception("Convolutions will always have 5D input."); + } + + if (m_Param.m_StrideX == 0) + { + throw armnn::Exception("m_StrideX cannot be 0."); + } + + if (m_Param.m_StrideY == 0) + { + throw armnn::Exception("m_StrideY cannot be 0."); + } - ARMNN_ASSERT( m_Param.m_StrideX > 0); - ARMNN_ASSERT( m_Param.m_StrideY > 0); - ARMNN_ASSERT( m_Param.m_StrideZ > 0); + if (m_Param.m_StrideZ == 0) + { + throw armnn::Exception("m_StrideZ cannot be 0."); + } DataLayoutIndexed dataLayoutIndex(m_Param.m_DataLayout); @@ -112,14 +131,21 @@ void Convolution3dLayer::ValidateTensorShapesFromInputs() VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod); - ARMNN_ASSERT_MSG(GetInputSlot(1).GetConnection(), - "Convolution3dLayer: Weights should be connected to input slot 1."); + if (!GetInputSlot(1).GetConnection()) + { + throw armnn::LayerValidationException("Convolution3dLayer: Weights should be connected to input slot 1."); + } 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, "Convolution3dLayer"); } |