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Diffstat (limited to 'src/armnnCaffeParser')
-rw-r--r--src/armnnCaffeParser/CaffeParser.cpp15
1 files changed, 8 insertions, 7 deletions
diff --git a/src/armnnCaffeParser/CaffeParser.cpp b/src/armnnCaffeParser/CaffeParser.cpp
index ce5c5bd4f5..b95d3bcc08 100644
--- a/src/armnnCaffeParser/CaffeParser.cpp
+++ b/src/armnnCaffeParser/CaffeParser.cpp
@@ -13,8 +13,9 @@
#include "GraphTopologicalSort.hpp"
#include "VerificationHelpers.hpp"
+#include <armnn/utility/Assert.hpp>
+
#include <boost/numeric/conversion/cast.hpp>
-#include <boost/assert.hpp>
#include <boost/format.hpp>
// Caffe
@@ -363,7 +364,7 @@ vector<const LayerParameter*> CaffeParserBase::GetInputs(const LayerParameter& l
void CaffeParserBase::ParseInputLayer(const LayerParameter& layerParam)
{
- BOOST_ASSERT(layerParam.type() == "Input");
+ ARMNN_ASSERT(layerParam.type() == "Input");
ValidateNumInputsOutputs(layerParam, 0, 1);
const InputParameter& param = layerParam.input_param();
@@ -421,7 +422,7 @@ void CaffeParserBase::AddConvLayerWithSplits(const caffe::LayerParameter& layerP
unsigned int kernelW,
unsigned int kernelH)
{
- BOOST_ASSERT(layerParam.type() == "Convolution");
+ ARMNN_ASSERT(layerParam.type() == "Convolution");
ValidateNumInputsOutputs(layerParam, 1, 1);
ConvolutionParameter convParam = layerParam.convolution_param();
@@ -429,8 +430,8 @@ void CaffeParserBase::AddConvLayerWithSplits(const caffe::LayerParameter& layerP
const unsigned int numGroups = convParam.has_group() ? convParam.group() : 1;
// asusme these were already verified by the caller ParseConvLayer() function
- BOOST_ASSERT(numGroups < inputShape.dim(1));
- BOOST_ASSERT(numGroups > 1);
+ ARMNN_ASSERT(numGroups < inputShape.dim(1));
+ ARMNN_ASSERT(numGroups > 1);
// Handle grouping
armnn::IOutputSlot& inputConnection = GetArmnnOutputSlotForCaffeTop(layerParam.bottom(0));
@@ -613,7 +614,7 @@ void CaffeParserBase::AddConvLayerWithDepthwiseConv(const caffe::LayerParameter&
unsigned int kernelW,
unsigned int kernelH)
{
- BOOST_ASSERT(layerParam.type() == "Convolution");
+ ARMNN_ASSERT(layerParam.type() == "Convolution");
ValidateNumInputsOutputs(layerParam, 1, 1);
ConvolutionParameter convParam = layerParam.convolution_param();
@@ -711,7 +712,7 @@ void CaffeParserBase::ParseConvLayer(const LayerParameter& layerParam)
// Not Available ArmNN Interface Parameters
// * Rounding policy;
- BOOST_ASSERT(layerParam.type() == "Convolution");
+ ARMNN_ASSERT(layerParam.type() == "Convolution");
ValidateNumInputsOutputs(layerParam, 1, 1);
ConvolutionParameter convParam = layerParam.convolution_param();