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authorColm Donelan <Colm.Donelan@arm.com>2020-09-09 12:48:16 +0100
committerTeresaARM <teresa.charlinreyes@arm.com>2020-10-02 15:30:11 +0000
commit5b5c222f6b0c40a8e0f9ef9dedccd6f0f18c4c2c (patch)
tree6ad0552e5efeb7ae3474a7f5019bc2fb33fced03 /src/armnn/LoadedNetwork.cpp
parent24ac85943b609e48fc36d16570ca4b5b90d31a6a (diff)
downloadarmnn-5b5c222f6b0c40a8e0f9ef9dedccd6f0f18c4c2c.tar.gz
IVGCVSW-5297 Remove boost::format from rest of ArmNN.
* Replacing calls to boost:format with fmt:format. * TensorUtils.cpp added outputShape.reserve call. Signed-off-by: Colm Donelan <Colm.Donelan@arm.com> Change-Id: I4b2ed0f72039df824a2adca9309b8a9bbb158c5b
Diffstat (limited to 'src/armnn/LoadedNetwork.cpp')
-rw-r--r--src/armnn/LoadedNetwork.cpp26
1 files changed, 11 insertions, 15 deletions
diff --git a/src/armnn/LoadedNetwork.cpp b/src/armnn/LoadedNetwork.cpp
index 33625744c5..00ac90b121 100644
--- a/src/armnn/LoadedNetwork.cpp
+++ b/src/armnn/LoadedNetwork.cpp
@@ -8,7 +8,6 @@
#include "Graph.hpp"
#include "Network.hpp"
#include <Processes.hpp>
-#include "Runtime.hpp"
#include "Profiling.hpp"
#include "HeapProfiling.hpp"
@@ -23,7 +22,7 @@
#include <LabelsAndEventClasses.hpp>
-#include <boost/format.hpp>
+#include <fmt/format.h>
namespace armnn
{
@@ -236,9 +235,9 @@ LoadedNetwork::LoadedNetwork(std::unique_ptr<OptimizedNetwork> net,
{
const char* const layerName =
layer->GetNameStr().length() != 0 ? layer->GetName() : "<Unnamed>";
- throw InvalidArgumentException(boost::str(
- boost::format("No workload created for layer (name: '%1%' type: '%2%') (compute '%3%')")
- % layerName % static_cast<int>(layer->GetType()) % layer->GetBackendId().Get()
+ throw InvalidArgumentException(
+ fmt::format("No workload created for layer (name: '{0}' type: '{1}') (compute '{2}')",
+ layerName, static_cast<int>(layer->GetType()), layer->GetBackendId().Get()
));
}
@@ -325,7 +324,7 @@ TensorInfo LoadedNetwork::GetInputTensorInfo(LayerBindingId layerId) const
}
}
- throw InvalidArgumentException(boost::str(boost::format("No input layer is associated with id %1%") % layerId));
+ throw InvalidArgumentException(fmt::format("No input layer is associated with id {}", layerId));
}
TensorInfo LoadedNetwork::GetOutputTensorInfo(LayerBindingId layerId) const
@@ -340,7 +339,7 @@ TensorInfo LoadedNetwork::GetOutputTensorInfo(LayerBindingId layerId) const
}
}
- throw InvalidArgumentException(boost::str(boost::format("No output layer is associated with id %1%") % layerId));
+ throw InvalidArgumentException(fmt::format("No output layer is associated with id {}", layerId));
}
const IWorkloadFactory& LoadedNetwork::GetWorkloadFactory(const Layer& layer) const
@@ -350,12 +349,10 @@ const IWorkloadFactory& LoadedNetwork::GetWorkloadFactory(const Layer& layer) co
auto it = m_WorkloadFactories.find(layer.GetBackendId());
if (it == m_WorkloadFactories.end())
{
- throw RuntimeException(
- boost::str(
- boost::format("No workload factory for %1% to be used for layer: %2%")
- % layer.GetBackendId().Get()
- % layer.GetNameStr()),
- CHECK_LOCATION());
+ throw RuntimeException(fmt::format("No workload factory for {0} to be used for layer: {1}",
+ layer.GetBackendId().Get(),
+ layer.GetNameStr()),
+ CHECK_LOCATION());
}
workloadFactory = it->second.first.get();
@@ -411,8 +408,7 @@ static const TensorPin& GetTensorPin(LayerBindingId id,
}
else
{
- throw InvalidArgumentException(boost::str(
- boost::format("No tensor supplied for %1% %2%") % bindingPointDesc % id));
+ throw InvalidArgumentException(fmt::format("No tensor supplied for {0} {1}", bindingPointDesc, id));
}
}