1 files changed, 65 insertions, 2 deletions

diff --git a/delegate/src/test/TestUtils.cpp b/delegate/src/test/TestUtils.cpp
index 31c05a678d..2787147639 100644
--- a/delegate/src/test/TestUtils.cpp
+++ b/delegate/src/test/TestUtils.cpp
@@ -8,8 +8,6 @@
 namespace armnnDelegate
 {
 
-
-
 void CompareData(bool tensor1[], bool tensor2[], size_t tensorSize)
 {
     auto compareBool = [](auto a, auto b) {return (((a == 0) && (b == 0)) || ((a != 0) && (b != 0)));};
@@ -63,4 +61,69 @@ void CompareData(int8_t tensor1[], int8_t tensor2[], size_t tensorSize)
     }
 }
 
+void CompareData(Half tensor1[], Half tensor2[], size_t tensorSize)
+{
+    for (size_t i = 0; i < tensorSize; i++)
+    {
+        CHECK(tensor1[i] == doctest::Approx( tensor2[i] ));
+    }
+}
+
+void CompareData(TfLiteFloat16 tensor1[], TfLiteFloat16 tensor2[], size_t tensorSize)
+{
+    for (size_t i = 0; i < tensorSize; i++)
+    {
+        CHECK(tensor1[i].data == tensor2[i].data);
+    }
+}
+
+void CompareData(TfLiteFloat16 tensor1[], Half tensor2[], size_t tensorSize)
+{
+    for (size_t i = 0; i < tensorSize; i++)
+    {
+        CHECK(tensor1[i].data == half_float::detail::float2half<std::round_indeterminate, float>(tensor2[i]));
+    }
+}
+
+template <>
+void CompareOutputData(std::unique_ptr<tflite::Interpreter>& tfLiteInterpreter,
+                       std::unique_ptr<tflite::Interpreter>& armnnDelegateInterpreter,
+                       std::vector<int32_t>& expectedOutputShape,
+                       std::vector<Half>& expectedOutputValues,
+                       unsigned int outputIndex)
+{
+    auto tfLiteDelegateOutputId = tfLiteInterpreter->outputs()[outputIndex];
+    auto tfLiteDelegateOutputTensor = tfLiteInterpreter->tensor(tfLiteDelegateOutputId);
+    auto tfLiteDelegateOutputData = tfLiteInterpreter->typed_tensor<TfLiteFloat16>(tfLiteDelegateOutputId);
+    auto armnnDelegateOutputId = armnnDelegateInterpreter->outputs()[outputIndex];
+    auto armnnDelegateOutputTensor = armnnDelegateInterpreter->tensor(armnnDelegateOutputId);
+    auto armnnDelegateOutputData = armnnDelegateInterpreter->typed_tensor<TfLiteFloat16>(armnnDelegateOutputId);
+
+        CHECK(expectedOutputShape.size() == tfLiteDelegateOutputTensor->dims->size);
+        CHECK(expectedOutputShape.size() == armnnDelegateOutputTensor->dims->size);
+
+    for (size_t i = 0; i < expectedOutputShape.size(); i++)
+    {
+        CHECK(armnnDelegateOutputTensor->dims->data[i] == expectedOutputShape[i]);
+        CHECK(tfLiteDelegateOutputTensor->dims->data[i] == expectedOutputShape[i]);
+        CHECK(tfLiteDelegateOutputTensor->dims->data[i] == armnnDelegateOutputTensor->dims->data[i]);
+    }
+
+    armnnDelegate::CompareData(armnnDelegateOutputData, expectedOutputValues.data(), expectedOutputValues.size());
+    armnnDelegate::CompareData(tfLiteDelegateOutputData, expectedOutputValues.data(), expectedOutputValues.size());
+    armnnDelegate::CompareData(tfLiteDelegateOutputData, armnnDelegateOutputData, expectedOutputValues.size());
+}
+
+template <>
+void FillInput<Half>(std::unique_ptr<tflite::Interpreter>& interpreter, int inputIndex, std::vector<Half>& inputValues)
+{
+    auto tfLiteDelegateInputId = interpreter->inputs()[inputIndex];
+    auto tfLiteDelageInputData = interpreter->typed_tensor<TfLiteFloat16>(tfLiteDelegateInputId);
+    for (unsigned int i = 0; i < inputValues.size(); ++i)
+    {
+        tfLiteDelageInputData[i].data = half_float::detail::float2half<std::round_indeterminate, float>(inputValues[i]);
+
+    }
+}
+
 } // namespace armnnDelegate
\ No newline at end of file