commit 5b5c222f6b0c40a8e0f9ef9dedccd6f0f18c4c2c
author Colm Donelan <Colm.Donelan@arm.com> Wed Sep 09 12:48:16 2020 +0100
committer TeresaARM <teresa.charlinreyes@arm.com> Fri Oct 02 15:30:11 2020 +0000
tree 6ad0552e5efeb7ae3474a7f5019bc2fb33fced03
parent 24ac85943b609e48fc36d16570ca4b5b90d31a6a

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

src/armnnUtils/TensorUtils.cpp

diff --git a/src/armnnUtils/TensorUtils.cpp b/src/armnnUtils/TensorUtils.cpp
index adaf811..2890399 100644
--- a/src/armnnUtils/TensorUtils.cpp
+++ b/src/armnnUtils/TensorUtils.cpp
@@ -9,7 +9,7 @@
 #include <armnn/utility/Assert.hpp>
 #include <armnn/utility/NumericCast.hpp>
 
-#include <boost/format.hpp>
+#include <fmt/format.h>
 
 using namespace armnn;
 
@@ -88,11 +88,10 @@
 
     if (axis < -armnn::numeric_cast<int>(outputDim) || axis > armnn::numeric_cast<int>(tensorShape.GetNumDimensions()))
     {
-        throw InvalidArgumentException(
-            boost::str(boost::format("Invalid expansion axis %1% for %2%D input tensor. %3%") %
-                       axis %
-                       tensorShape.GetNumDimensions() %
-                       CHECK_LOCATION().AsString()));
+        throw InvalidArgumentException(fmt::format("Invalid expansion axis {} for {}D input tensor. {}",
+                                                   axis,
+                                                   tensorShape.GetNumDimensions(),
+                                                   CHECK_LOCATION().AsString()));
     }
 
     if (axis < 0)
@@ -101,6 +100,7 @@
     }
 
     std::vector<unsigned int> outputShape;
+    outputShape.reserve(tensorShape.GetNumDimensions());
     for (unsigned int i = 0; i < tensorShape.GetNumDimensions(); ++i)
     {
         outputShape.push_back(tensorShape[i]);