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-rw-r--r--src/armnn/layers/BatchMatMulLayer.cpp17
1 files changed, 13 insertions, 4 deletions
diff --git a/src/armnn/layers/BatchMatMulLayer.cpp b/src/armnn/layers/BatchMatMulLayer.cpp
index 8b2629c4ea..cafb051c7b 100644
--- a/src/armnn/layers/BatchMatMulLayer.cpp
+++ b/src/armnn/layers/BatchMatMulLayer.cpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2022-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "BatchMatMulLayer.hpp"
@@ -32,7 +32,11 @@ BatchMatMulLayer* BatchMatMulLayer::Clone(Graph& graph) const
std::vector<TensorShape> BatchMatMulLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
- ARMNN_ASSERT(inputShapes.size() == 2);
+ if (inputShapes.size() != 2)
+ {
+ throw armnn::LayerValidationException("inputShapes' size is \"" + std::to_string(inputShapes.size()) +
+ "\" - should be \"2\".");
+ }
TensorShape inputXShape = inputShapes[0];
TensorShape inputYShape = inputShapes[1];
@@ -102,9 +106,14 @@ void BatchMatMulLayer::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, "BatchMatMulLayer");
}
-} // namespace armnn \ No newline at end of file
+} // namespace armnn