diff options
Diffstat (limited to 'src/armnn/layers/ConcatLayer.cpp')
| -rw-r--r-- | src/armnn/layers/ConcatLayer.cpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/armnn/layers/ConcatLayer.cpp b/src/armnn/layers/ConcatLayer.cpp index 4f0aa539a1..d9fffff57e 100644 --- a/src/armnn/layers/ConcatLayer.cpp +++ b/src/armnn/layers/ConcatLayer.cpp @@ -242,7 +242,7 @@ std::vector<TensorShape> ConcatLayer::InferOutputShapes(const std::vector<Tensor return std::vector<TensorShape>({ TensorShape({numDims, extentMax.data()}) }); } -void ConcatLayer::ValidateTensorShapesFromInputs(ShapeInferenceMethod shapeInferenceMethod) +void ConcatLayer::ValidateTensorShapesFromInputs() { // Validates Concat layer. ConditionalThrowIfNotEqual<LayerValidationException>( @@ -254,7 +254,7 @@ void ConcatLayer::ValidateTensorShapesFromInputs(ShapeInferenceMethod shapeInfer const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape(); - VerifyShapeInferenceType(outputShape, shapeInferenceMethod); + VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod); std::vector<TensorShape> inputShapes; for (unsigned int i = 0; i < GetNumInputSlots(); ++i) @@ -266,7 +266,7 @@ void ConcatLayer::ValidateTensorShapesFromInputs(ShapeInferenceMethod shapeInfer ARMNN_ASSERT(inferredShapes.size() == 1); - ValidateAndCopyShape(outputShape, inferredShapes[0], shapeInferenceMethod, "ConcatLayer"); + ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ConcatLayer"); } void ConcatLayer::Accept(ILayerVisitor& visitor) const |