diff options
Diffstat (limited to 'src/armnn/layers/Convolution2dLayer.cpp')
| -rw-r--r-- | src/armnn/layers/Convolution2dLayer.cpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/armnn/layers/Convolution2dLayer.cpp b/src/armnn/layers/Convolution2dLayer.cpp index a1535ea7cc..5fff982ca1 100644 --- a/src/armnn/layers/Convolution2dLayer.cpp +++ b/src/armnn/layers/Convolution2dLayer.cpp @@ -112,13 +112,13 @@ std::vector<TensorShape> Convolution2dLayer::InferOutputShapes(const std::vector return std::vector<TensorShape>({ tensorShape }); } -void Convolution2dLayer::ValidateTensorShapesFromInputs(ShapeInferenceMethod shapeInferenceMethod) +void Convolution2dLayer::ValidateTensorShapesFromInputs() { VerifyLayerConnections(1, CHECK_LOCATION()); const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape(); - VerifyShapeInferenceType(outputShape, shapeInferenceMethod); + VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod); // check if we m_Weight data is not nullptr ARMNN_ASSERT_MSG(m_Weight != nullptr, "Convolution2dLayer: Weights data should not be null."); @@ -129,7 +129,7 @@ void Convolution2dLayer::ValidateTensorShapesFromInputs(ShapeInferenceMethod sha ARMNN_ASSERT(inferredShapes.size() == 1); - ValidateAndCopyShape(outputShape, inferredShapes[0], shapeInferenceMethod, "Convolution2dLayer"); + ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "Convolution2dLayer"); } Layer::ConstantTensors Convolution2dLayer::GetConstantTensorsByRef() |