diff options
Diffstat (limited to 'src/armnn/layers/Pooling2dLayer.cpp')
| -rw-r--r-- | src/armnn/layers/Pooling2dLayer.cpp | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/src/armnn/layers/Pooling2dLayer.cpp b/src/armnn/layers/Pooling2dLayer.cpp index a3c2425097..ad2c82f761 100644 --- a/src/armnn/layers/Pooling2dLayer.cpp +++ b/src/armnn/layers/Pooling2dLayer.cpp @@ -37,12 +37,12 @@ Pooling2dLayer* Pooling2dLayer::Clone(Graph& graph) const std::vector<TensorShape> Pooling2dLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const { - BOOST_ASSERT(inputShapes.size() == 1); + ARMNN_ASSERT(inputShapes.size() == 1); const TensorShape& inputShape = inputShapes[0]; const DataLayoutIndexed dimensionIndices = m_Param.m_DataLayout; // If we support multiple batch dimensions in the future, then this assert will need to change. - BOOST_ASSERT_MSG(inputShape.GetNumDimensions() == 4, "Pooling2dLayer will always have 4D input."); + ARMNN_ASSERT_MSG(inputShape.GetNumDimensions() == 4, "Pooling2dLayer will always have 4D input."); unsigned int inWidth = inputShape[dimensionIndices.GetWidthIndex()]; unsigned int inHeight = inputShape[dimensionIndices.GetHeightIndex()]; @@ -54,7 +54,7 @@ std::vector<TensorShape> Pooling2dLayer::InferOutputShapes(const std::vector<Ten unsigned int outHeight = 1; if (!isGlobalPooling) { - BOOST_ASSERT_MSG(m_Param.m_StrideX!=0 && m_Param.m_StrideY!=0, + ARMNN_ASSERT_MSG(m_Param.m_StrideX!=0 && m_Param.m_StrideY!=0, "Stride can only be zero when performing global pooling"); auto CalcSize = [](auto inSize, auto lowPad, auto highPad, auto poolSize, auto stride, auto outputShapeRounding) @@ -72,7 +72,7 @@ std::vector<TensorShape> Pooling2dLayer::InferOutputShapes(const std::vector<Ten size = static_cast<unsigned int>(floor(div)) + 1; break; default: - BOOST_ASSERT_MSG(false, "Unsupported Output Shape Rounding"); + ARMNN_ASSERT_MSG(false, "Unsupported Output Shape Rounding"); } // MakeS sure that border operations will start from inside the input and not the padded area. @@ -106,7 +106,7 @@ void Pooling2dLayer::ValidateTensorShapesFromInputs() auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() }); - BOOST_ASSERT(inferredShapes.size() == 1); + ARMNN_ASSERT(inferredShapes.size() == 1); ConditionalThrowIfNotEqual<LayerValidationException>( "Pooling2dLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", |