Fixing compare output feature in ExecuteNetwork

The -A -B -C options in execute network were attempting to calculate
the RMS error over output tensors. However, the calculation was mixing
tensor elements and bytes when doing the calculation. This patch
changes the calculation to use a per byte RMS error calculation.

Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: If30230a16cfed1a8804b4d54ed1abcd371f26664

1 files changed, 2 insertions, 26 deletions

diff --git a/tests/NetworkExecutionUtils/NetworkExecutionUtils.hpp b/tests/NetworkExecutionUtils/NetworkExecutionUtils.hpp
index 8c97238432..2136c446fb 100644
--- a/tests/NetworkExecutionUtils/NetworkExecutionUtils.hpp
+++ b/tests/NetworkExecutionUtils/NetworkExecutionUtils.hpp
@@ -73,6 +73,8 @@ std::vector<unsigned int> ParseArray(std::istream& stream);
 /// Splits a given string at every accurance of delimiter into a vector of string
 std::vector<std::string> ParseStringList(const std::string& inputString, const char* delimiter);
 
+double ComputeByteLevelRMSE(const void* expected, const void* actual, const size_t size);
+
 /// Dequantize an array of a given type
 /// @param array Type erased array to dequantize
 /// @param numElements Elements in the array
@@ -285,29 +287,3 @@ std::vector<T> ParseArrayImpl(std::istream& stream, TParseElementFunc parseEleme
 
     return result;
 }
-
-/// Compute the root-mean-square error (RMSE)
-/// @param expected
-/// @param actual
-/// @param size size of the tensor
-/// @return float the RMSE
-template<typename T>
-float ComputeRMSE(const void* expected, const void* actual, const size_t size)
-{
-    auto typedExpected = reinterpret_cast<const T*>(expected);
-    auto typedActual = reinterpret_cast<const T*>(actual);
-
-    T errorSum = 0;
-
-    for (unsigned int i = 0; i < size; i++)
-    {
-        if (std::abs(typedExpected[i] - typedActual[i]) != 0)
-        {
-            std::cout << "";
-        }
-        errorSum += std::pow(std::abs(typedExpected[i] - typedActual[i]), 2);
-    }
-
-    float rmse = std::sqrt(armnn::numeric_cast<float>(errorSum) / armnn::numeric_cast<float>(size / sizeof(T)));
-    return rmse;
-}
\ No newline at end of file