diff options
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) { |