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author | Narumol Prangnawarat <narumol.prangnawarat@arm.com> | 2019-09-11 16:43:09 +0100 |
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committer | Áron Virginás-Tar <aron.virginas-tar@arm.com> | 2019-09-12 12:05:42 +0000 |
commit | 0280785b00cd84f14249d3545a15b93627acf57b (patch) | |
tree | aebfb054051d130b8dca735e3cd6b73934cda816 /src/armnnUtils/TensorUtils.cpp | |
parent | b0b802f979a647ace8676dfdda53f06416d3700b (diff) | |
download | armnn-0280785b00cd84f14249d3545a15b93627acf57b.tar.gz |
IVGCVSW-3663 Add utility function to expand tensor dimension
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I54d2416be305db7d3fc15fb3123694ad6740b27d
Diffstat (limited to 'src/armnnUtils/TensorUtils.cpp')
-rw-r--r-- | src/armnnUtils/TensorUtils.cpp | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/src/armnnUtils/TensorUtils.cpp b/src/armnnUtils/TensorUtils.cpp index c2fbbe0bcc..8baea78ab5 100644 --- a/src/armnnUtils/TensorUtils.cpp +++ b/src/armnnUtils/TensorUtils.cpp @@ -6,6 +6,10 @@ #include "TensorUtils.hpp" #include <backendsCommon/ITensorHandle.hpp> +#include <boost/assert.hpp> +#include <boost/format.hpp> +#include <boost/numeric/conversion/cast.hpp> + namespace armnnUtils { @@ -75,4 +79,32 @@ std::pair<float, float> FindMinMax(armnn::ITensorHandle* tensorHandle) return std::make_pair(min, max); } +armnn::TensorShape ExpandDims(const armnn::TensorShape& tensorShape, int axis) +{ + unsigned int outputDim = tensorShape.GetNumDimensions() + 1; + + if (axis < -boost::numeric_cast<int>(outputDim) || axis > boost::numeric_cast<int>(tensorShape.GetNumDimensions())) + { + throw armnn::InvalidArgumentException( + boost::str(boost::format("Invalid expansion axis %1% for %2%D input tensor. %3%") % + axis % + tensorShape.GetNumDimensions() % + CHECK_LOCATION().AsString())); + } + + if (axis < 0) + { + axis = boost::numeric_cast<int>(outputDim) + axis; + } + + std::vector<unsigned int> outputShape; + for (unsigned int i = 0; i < tensorShape.GetNumDimensions(); ++i) + { + outputShape.push_back(tensorShape[i]); + } + outputShape.insert(outputShape.begin() + axis, 1); + + return armnn::TensorShape(outputDim, outputShape.data()); +} + } |