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author | telsoa01 <telmo.soares@arm.com> | 2018-08-31 09:22:23 +0100 |
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committer | telsoa01 <telmo.soares@arm.com> | 2018-08-31 09:22:23 +0100 |
commit | c577f2c6a3b4ddb6ba87a882723c53a248afbeba (patch) | |
tree | bd7d4c148df27f8be6649d313efb24f536b7cf34 /src/armnn/layers/ResizeBilinearLayer.cpp | |
parent | 4c7098bfeab1ffe1cdc77f6c15548d3e73274746 (diff) | |
download | armnn-c577f2c6a3b4ddb6ba87a882723c53a248afbeba.tar.gz |
Release 18.08
Diffstat (limited to 'src/armnn/layers/ResizeBilinearLayer.cpp')
-rw-r--r-- | src/armnn/layers/ResizeBilinearLayer.cpp | 24 |
1 files changed, 16 insertions, 8 deletions
diff --git a/src/armnn/layers/ResizeBilinearLayer.cpp b/src/armnn/layers/ResizeBilinearLayer.cpp index 204d5afae8..6477fa375a 100644 --- a/src/armnn/layers/ResizeBilinearLayer.cpp +++ b/src/armnn/layers/ResizeBilinearLayer.cpp @@ -30,23 +30,31 @@ ResizeBilinearLayer* ResizeBilinearLayer::Clone(Graph& graph) const return CloneBase<ResizeBilinearLayer>(graph, m_Param, GetName()); } -void ResizeBilinearLayer::ValidateTensorShapesFromInputs() +std::vector<TensorShape> ResizeBilinearLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const { - ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr, - "MemCopyLayer: InputSlot must be connected to an OutputSlot"); - ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection()->IsTensorInfoSet(), - "MemCopyLayer: TensorInfo must be set on connected OutputSlot."); + BOOST_ASSERT(inputShapes.size() == 1); + const TensorShape& inputShape = inputShapes[0]; - const TensorShape& inputShape = GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(); unsigned int outWidth = m_Param.m_TargetWidth; unsigned int outHeight = m_Param.m_TargetHeight; unsigned int outChannels = inputShape[1]; unsigned int outBatch = inputShape[0]; - TensorShape outShape({outBatch, outChannels, outHeight, outWidth}); + + return std::vector<TensorShape>({ TensorShape({outBatch, outChannels, outHeight, outWidth}) }); +} + +void ResizeBilinearLayer::ValidateTensorShapesFromInputs() +{ + VerifyLayerConnections(1, CHECK_LOCATION()); + + auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() }); + + BOOST_ASSERT(inferredShapes.size() == 1); + ConditionalThrowIfNotEqual<LayerValidationException>( "ResizeBilinearLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", GetOutputSlot(0).GetTensorInfo().GetShape(), - outShape); + inferredShapes[0]); } } // namespace armnn |