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Diffstat (limited to 'src/armnn/layers/DepthwiseConvolution2dLayer.cpp')
-rw-r--r--src/armnn/layers/DepthwiseConvolution2dLayer.cpp12
1 files changed, 6 insertions, 6 deletions
diff --git a/src/armnn/layers/DepthwiseConvolution2dLayer.cpp b/src/armnn/layers/DepthwiseConvolution2dLayer.cpp
index f37096ac18..dc6b2c2fe7 100644
--- a/src/armnn/layers/DepthwiseConvolution2dLayer.cpp
+++ b/src/armnn/layers/DepthwiseConvolution2dLayer.cpp
@@ -51,7 +51,7 @@ void DepthwiseConvolution2dLayer::SerializeLayerParameters(ParameterStringifyFun
std::unique_ptr<IWorkload> DepthwiseConvolution2dLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
// on this level constant data should not be released..
- BOOST_ASSERT_MSG(m_Weight != nullptr, "DepthwiseConvolution2dLayer: Weights data should not be null.");
+ ARMNN_ASSERT_MSG(m_Weight != nullptr, "DepthwiseConvolution2dLayer: Weights data should not be null.");
DepthwiseConvolution2dQueueDescriptor descriptor;
@@ -59,7 +59,7 @@ std::unique_ptr<IWorkload> DepthwiseConvolution2dLayer::CreateWorkload(const IWo
if (m_Param.m_BiasEnabled)
{
- BOOST_ASSERT_MSG(m_Bias != nullptr, "DepthwiseConvolution2dLayer: Bias data should not be null.");
+ ARMNN_ASSERT_MSG(m_Bias != nullptr, "DepthwiseConvolution2dLayer: Bias data should not be null.");
descriptor.m_Bias = m_Bias.get();
}
return factory.CreateDepthwiseConvolution2d(descriptor, PrepInfoAndDesc(descriptor));
@@ -81,11 +81,11 @@ DepthwiseConvolution2dLayer* DepthwiseConvolution2dLayer::Clone(Graph& graph) co
std::vector<TensorShape>
DepthwiseConvolution2dLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
- BOOST_ASSERT(inputShapes.size() == 2);
+ ARMNN_ASSERT(inputShapes.size() == 2);
const TensorShape& inputShape = inputShapes[0];
const TensorShape& filterShape = inputShapes[1];
- BOOST_ASSERT_MSG(inputShape.GetNumDimensions() == 4, "Convolutions will always have 4D input.");
+ ARMNN_ASSERT_MSG(inputShape.GetNumDimensions() == 4, "Convolutions will always have 4D input.");
DataLayoutIndexed dataLayoutIndex(m_Param.m_DataLayout);
@@ -124,14 +124,14 @@ void DepthwiseConvolution2dLayer::ValidateTensorShapesFromInputs()
VerifyLayerConnections(1, CHECK_LOCATION());
// on this level constant data should not be released..
- BOOST_ASSERT_MSG(m_Weight != nullptr, "DepthwiseConvolution2dLayer: Weights data should not be null.");
+ ARMNN_ASSERT_MSG(m_Weight != nullptr, "DepthwiseConvolution2dLayer: Weights data should not be null.");
auto inferredShapes = InferOutputShapes({
GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(),
m_Weight->GetTensorInfo().GetShape()
});
- BOOST_ASSERT(inferredShapes.size() == 1);
+ ARMNN_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"DepthwiseConvolution2dLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",