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Diffstat (limited to 'src/armnn/layers/DetectionPostProcessLayer.cpp')
-rw-r--r--src/armnn/layers/DetectionPostProcessLayer.cpp30
1 files changed, 22 insertions, 8 deletions
diff --git a/src/armnn/layers/DetectionPostProcessLayer.cpp b/src/armnn/layers/DetectionPostProcessLayer.cpp
index 6bddf51551..f71f72af3a 100644
--- a/src/armnn/layers/DetectionPostProcessLayer.cpp
+++ b/src/armnn/layers/DetectionPostProcessLayer.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
//
@@ -45,19 +45,33 @@ void DetectionPostProcessLayer::ValidateTensorShapesFromInputs()
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
// on this level constant data should not be released.
- ARMNN_ASSERT_MSG(m_Anchors != nullptr, "DetectionPostProcessLayer: Anchors data should not be null.");
+ if (!m_Anchors)
+ {
+ throw armnn::LayerValidationException("DetectionPostProcessLayer: Anchors data should not be null.");
+ }
- ARMNN_ASSERT_MSG(GetNumOutputSlots() == 4, "DetectionPostProcessLayer: The layer should return 4 outputs.");
+ if (GetNumOutputSlots() != 4)
+ {
+ throw armnn::LayerValidationException("DetectionPostProcessLayer: The layer should return 4 outputs.");
+ }
std::vector<TensorShape> inferredShapes = InferOutputShapes(
{ GetInputSlot(0).GetTensorInfo().GetShape(),
GetInputSlot(1).GetTensorInfo().GetShape() });
- ARMNN_ASSERT(inferredShapes.size() == 4);
- ARMNN_ASSERT(inferredShapes[0].GetDimensionality() == Dimensionality::Specified);
- ARMNN_ASSERT(inferredShapes[1].GetDimensionality() == Dimensionality::Specified);
- ARMNN_ASSERT(inferredShapes[2].GetDimensionality() == Dimensionality::Specified);
- ARMNN_ASSERT(inferredShapes[3].GetDimensionality() == Dimensionality::Specified);
+ if (inferredShapes.size() != 4)
+ {
+ throw armnn::LayerValidationException("inferredShapes has "
+ + std::to_string(inferredShapes.size()) +
+ " element(s) - should only have 4.");
+ }
+
+ if (std::any_of(inferredShapes.begin(), inferredShapes.end(), [] (auto&& inferredShape) {
+ return inferredShape.GetDimensionality() != Dimensionality::Specified;
+ }))
+ {
+ throw armnn::Exception("One of inferredShapes' dimensionalities is not specified.");
+ }
ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "DetectionPostProcessLayer");