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author | Colm Donelan <Colm.Donelan@arm.com> | 2020-09-09 12:48:16 +0100 |
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committer | TeresaARM <teresa.charlinreyes@arm.com> | 2020-10-02 15:30:11 +0000 |
commit | 5b5c222f6b0c40a8e0f9ef9dedccd6f0f18c4c2c (patch) | |
tree | 6ad0552e5efeb7ae3474a7f5019bc2fb33fced03 /src/armnnUtils/TensorUtils.cpp | |
parent | 24ac85943b609e48fc36d16570ca4b5b90d31a6a (diff) | |
download | armnn-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/armnnUtils/TensorUtils.cpp')
-rw-r--r-- | src/armnnUtils/TensorUtils.cpp | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/src/armnnUtils/TensorUtils.cpp b/src/armnnUtils/TensorUtils.cpp index adaf8114f1..2890399cd8 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 @@ TensorShape ExpandDims(const TensorShape& tensorShape, int axis) 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 @@ TensorShape ExpandDims(const TensorShape& tensorShape, int axis) } std::vector<unsigned int> outputShape; + outputShape.reserve(tensorShape.GetNumDimensions()); for (unsigned int i = 0; i < tensorShape.GetNumDimensions(); ++i) { outputShape.push_back(tensorShape[i]); |