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| author | telsoa01 <telmo.soares@arm.com> | 2018-08-31 09:22:23 +0100 |
|---|---|---|
| committer | telsoa01 <telmo.soares@arm.com> | 2018-08-31 09:22:23 +0100 |
| commit | c577f2c6a3b4ddb6ba87a882723c53a248afbeba (patch) | |
| tree | bd7d4c148df27f8be6649d313efb24f536b7cf34 /src/armnn/test/TensorHelpers.hpp | |
| parent | 4c7098bfeab1ffe1cdc77f6c15548d3e73274746 (diff) | |
| download | armnn-c577f2c6a3b4ddb6ba87a882723c53a248afbeba.tar.gz | |
Release 18.08
Diffstat (limited to 'src/armnn/test/TensorHelpers.hpp')
| -rw-r--r-- | src/armnn/test/TensorHelpers.hpp | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/src/armnn/test/TensorHelpers.hpp b/src/armnn/test/TensorHelpers.hpp index aac4c1d15e..ec38940a44 100644 --- a/src/armnn/test/TensorHelpers.hpp +++ b/src/armnn/test/TensorHelpers.hpp @@ -39,7 +39,7 @@ struct SelectiveComparer<T, false> { static bool Compare(T a, T b) { - // if a or b is zero, percent_tolerance does an exact match, so compare to a small, constant tolerance instead + // If a or b is zero, percent_tolerance does an exact match, so compare to a small, constant tolerance instead. if (a == 0.0f || b == 0.0f) { return std::abs(a - b) <= g_FloatCloseToZeroTolerance; @@ -62,7 +62,7 @@ template <typename T, std::size_t n> boost::test_tools::predicate_result CompareTensors(const boost::multi_array<T, n>& a, const boost::multi_array<T, n>& b) { - // check they are same shape + // Checks they are same shape. for (unsigned int i=0; i<n; i++) { if (a.shape()[i] != b.shape()[i]) @@ -77,9 +77,9 @@ boost::test_tools::predicate_result CompareTensors(const boost::multi_array<T, n } } - // now compare element-wise + // Now compares element-wise. - // fun iteration over n dimensions + // Fun iteration over n dimensions. std::array<unsigned int, n> indices; for (unsigned int i = 0; i < n; i++) { @@ -150,7 +150,7 @@ boost::test_tools::predicate_result CompareTensors(const boost::multi_array<T, n } -// Creates a boost::multi_array with shape defined by the given TensorInfo. +// Creates a boost::multi_array with the shape defined by the given TensorInfo. template <typename T, std::size_t n> boost::multi_array<T, n> MakeTensor(const armnn::TensorInfo& tensorInfo) { @@ -164,7 +164,7 @@ boost::multi_array<T, n> MakeTensor(const armnn::TensorInfo& tensorInfo) return boost::multi_array<T, n>(shape); } -// Creates a boost::multi_array with shape defined by the given TensorInfo and contents defined by the given vector. +// Creates a boost::multi_array with the shape defined by the given TensorInfo and contents defined by the given vector. template <typename T, std::size_t n> boost::multi_array<T, n> MakeTensor(const armnn::TensorInfo& tensorInfo, const std::vector<T>& flat) { |