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Diffstat (limited to 'src/armnn/layers/ComparisonLayer.cpp')
-rw-r--r--src/armnn/layers/ComparisonLayer.cpp23
1 files changed, 18 insertions, 5 deletions
diff --git a/src/armnn/layers/ComparisonLayer.cpp b/src/armnn/layers/ComparisonLayer.cpp
index 5d18a58f3c..dc5437bb6f 100644
--- a/src/armnn/layers/ComparisonLayer.cpp
+++ b/src/armnn/layers/ComparisonLayer.cpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2019-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
@@ -35,7 +35,12 @@ ComparisonLayer* ComparisonLayer::Clone(Graph& graph) const
std::vector<TensorShape> ComparisonLayer::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\".");
+ }
+
TensorShape input0 = inputShapes[0];
TensorShape input1 = inputShapes[1];
@@ -55,8 +60,10 @@ std::vector<TensorShape> ComparisonLayer::InferOutputShapes(const std::vector<Te
unsigned int dim1 = input1[i - shiftedDims];
// Validate inputs are broadcast compatible.
- ARMNN_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1,
- "Dimensions should either match or one should be of size 1.");
+ if (dim0 != dim1 && dim0 != 1 && dim1 != 1)
+ {
+ throw armnn::Exception("Dimensions should either match or one should be of size 1.");
+ }
dims[i] = std::max(dim0, dim1);
}
@@ -82,7 +89,13 @@ void ComparisonLayer::ValidateTensorShapesFromInputs()
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, "ComparisonLayer");
}