diff options
Diffstat (limited to 'src/armnn/layers/BatchNormalizationLayer.cpp')
| -rw-r--r-- | src/armnn/layers/BatchNormalizationLayer.cpp | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/src/armnn/layers/BatchNormalizationLayer.cpp b/src/armnn/layers/BatchNormalizationLayer.cpp index aed744714b..7f61cad40f 100644 --- a/src/armnn/layers/BatchNormalizationLayer.cpp +++ b/src/armnn/layers/BatchNormalizationLayer.cpp @@ -21,10 +21,10 @@ BatchNormalizationLayer::BatchNormalizationLayer(const armnn::BatchNormalization std::unique_ptr<IWorkload> BatchNormalizationLayer::CreateWorkload(const IWorkloadFactory& factory) const { // on this level constant data should not be released.. - BOOST_ASSERT_MSG(m_Mean != nullptr, "BatchNormalizationLayer: Mean data should not be null."); - BOOST_ASSERT_MSG(m_Variance != nullptr, "BatchNormalizationLayer: Variance data should not be null."); - BOOST_ASSERT_MSG(m_Beta != nullptr, "BatchNormalizationLayer: Beta data should not be null."); - BOOST_ASSERT_MSG(m_Gamma != nullptr, "BatchNormalizationLayer: Gamma data should not be null."); + ARMNN_ASSERT_MSG(m_Mean != nullptr, "BatchNormalizationLayer: Mean data should not be null."); + ARMNN_ASSERT_MSG(m_Variance != nullptr, "BatchNormalizationLayer: Variance data should not be null."); + ARMNN_ASSERT_MSG(m_Beta != nullptr, "BatchNormalizationLayer: Beta data should not be null."); + ARMNN_ASSERT_MSG(m_Gamma != nullptr, "BatchNormalizationLayer: Gamma data should not be null."); BatchNormalizationQueueDescriptor descriptor; @@ -54,7 +54,7 @@ void BatchNormalizationLayer::ValidateTensorShapesFromInputs() auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() }); - BOOST_ASSERT(inferredShapes.size() == 1); + ARMNN_ASSERT(inferredShapes.size() == 1); ConditionalThrowIfNotEqual<LayerValidationException>( "BatchNormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", |