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Diffstat (limited to 'src/armnn/layers/ElementwiseBaseLayer.cpp')
-rw-r--r--src/armnn/layers/ElementwiseBaseLayer.cpp11
1 files changed, 5 insertions, 6 deletions
diff --git a/src/armnn/layers/ElementwiseBaseLayer.cpp b/src/armnn/layers/ElementwiseBaseLayer.cpp
index 761814176d..2c1e8717f4 100644
--- a/src/armnn/layers/ElementwiseBaseLayer.cpp
+++ b/src/armnn/layers/ElementwiseBaseLayer.cpp
@@ -8,8 +8,7 @@
#include "InternalTypes.hpp"
#include "armnn/Exceptions.hpp"
#include <armnn/TypesUtils.hpp>
-
-#include <boost/assert.hpp>
+#include <armnn/utility/Assert.hpp>
namespace armnn
{
@@ -22,12 +21,12 @@ ElementwiseBaseLayer::ElementwiseBaseLayer(unsigned int numInputSlots, unsigned
std::vector<TensorShape> ElementwiseBaseLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
- BOOST_ASSERT(inputShapes.size() == 2);
+ ARMNN_ASSERT(inputShapes.size() == 2);
auto& input0 = inputShapes[0];
auto& input1 = inputShapes[1];
// Get the max of the inputs.
- BOOST_ASSERT(input0.GetNumDimensions() == input1.GetNumDimensions());
+ ARMNN_ASSERT(input0.GetNumDimensions() == input1.GetNumDimensions());
unsigned int numDims = input0.GetNumDimensions();
std::vector<unsigned int> dims(numDims);
@@ -38,7 +37,7 @@ std::vector<TensorShape> ElementwiseBaseLayer::InferOutputShapes(const std::vect
#if !NDEBUG
// Validate inputs are broadcast compatible.
- BOOST_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1,
+ ARMNN_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1,
"Dimensions should either match or one should be of size 1.");
#endif
@@ -57,7 +56,7 @@ void ElementwiseBaseLayer::ValidateTensorShapesFromInputs()
GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape()
});
- BOOST_ASSERT(inferredShapes.size() == 1);
+ ARMNN_ASSERT(inferredShapes.size() == 1);
std::string msg = GetLayerTypeAsCString(GetType());
msg += "Layer: TensorShape set on OutputSlot[0] does not match the inferred shape.";