1 files changed, 0 insertions, 101 deletions
diff --git a/delegate/src/test/TestUtils.hpp b/delegate/src/test/TestUtils.hpp
deleted file mode 100644
index 5d4a0ed7d4..0000000000
--- a/delegate/src/test/TestUtils.hpp
+++ /dev/null
@@ -1,101 +0,0 @@
-//
-// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include <tensorflow/lite/c/common.h>
-#include <tensorflow/lite/interpreter.h>
-
-#include <doctest/doctest.h>
-
-#include <half/half.hpp>
-
-using Half = half_float::half;
-
-namespace armnnDelegate
-{
-
-/// Can be used to assign input data from a vector to a model input.
-/// Example usage can be found in ResizeTesthelper.hpp
-template <typename T>
-void FillInput(std::unique_ptr<tflite::Interpreter>& interpreter, int inputIndex, std::vector<T>& inputValues)
-{
-    auto tfLiteDelegateInputId = interpreter->inputs()[inputIndex];
-    auto tfLiteDelageInputData = interpreter->typed_tensor<T>(tfLiteDelegateInputId);
-    for (unsigned int i = 0; i < inputValues.size(); ++i)
-    {
-        tfLiteDelageInputData[i] = inputValues[i];
-    }
-}
-
-template <>
-void FillInput(std::unique_ptr<tflite::Interpreter>& interpreter, int inputIndex, std::vector<Half>& inputValues);
-
-/// Can be used to compare bool data coming from a tflite interpreter
-/// Boolean types get converted to a bit representation in a vector. vector.data() returns a void pointer
-/// instead of a pointer to bool. Therefore a special function to compare to vector of bool is required
-void CompareData(std::vector<bool>& tensor1, bool tensor2[], size_t tensorSize);
-void CompareData(bool tensor1[], bool tensor2[], size_t tensorSize);
-
-/// Can be used to compare float data coming from a tflite interpreter with a tolerance of limit_of_float*100
-void CompareData(float tensor1[], float tensor2[], size_t tensorSize);
-
-/// Can be used to compare float data coming from a tflite interpreter with a given percentage tolerance
-void CompareData(float tensor1[], float tensor2[], size_t tensorSize, float percentTolerance);
-
-/// Can be used to compare int8_t data coming from a tflite interpreter with a tolerance of 1
-void CompareData(int8_t tensor1[], int8_t tensor2[], size_t tensorSize);
-
-/// Can be used to compare uint8_t data coming from a tflite interpreter with a tolerance of 1
-void CompareData(uint8_t tensor1[], uint8_t tensor2[], size_t tensorSize);
-
-/// Can be used to compare int16_t data coming from a tflite interpreter with a tolerance of 1
-void CompareData(int16_t tensor1[], int16_t tensor2[], size_t tensorSize);
-
-/// Can be used to compare int32_t data coming from a tflite interpreter with a tolerance of 1
-void CompareData(int32_t tensor1[], int32_t tensor2[], size_t tensorSize);
-
-/// Can be used to compare Half (Float16) data with a tolerance of limit_of_float*100
-void CompareData(Half tensor1[], Half tensor2[], size_t tensorSize);
-
-/// Can be used to compare TfLiteFloat16 data coming from a tflite interpreter
-void CompareData(TfLiteFloat16 tensor1[], TfLiteFloat16 tensor2[], size_t tensorSize);
-
-/// Can be used to compare Half (Float16) data and TfLiteFloat16 data coming from a tflite interpreter
-void CompareData(TfLiteFloat16 tensor1[], Half tensor2[], size_t tensorSize);
-
-/// Can be used to compare the output tensor shape and values
-/// from armnnDelegateInterpreter and tfLiteInterpreter.
-/// Example usage can be found in ControlTestHelper.hpp
-template <typename T>
-void CompareOutputData(std::unique_ptr<tflite::Interpreter>& tfLiteInterpreter,
-                       std::unique_ptr<tflite::Interpreter>& armnnDelegateInterpreter,
-                       std::vector<int32_t>& expectedOutputShape,
-                       std::vector<T>& expectedOutputValues,
-                       unsigned int outputIndex = 0)
-{
-    auto tfLiteDelegateOutputId = tfLiteInterpreter->outputs()[outputIndex];
-    auto tfLiteDelegateOutputTensor = tfLiteInterpreter->tensor(tfLiteDelegateOutputId);
-    auto tfLiteDelegateOutputData = tfLiteInterpreter->typed_tensor<T>(tfLiteDelegateOutputId);
-    auto armnnDelegateOutputId = armnnDelegateInterpreter->outputs()[outputIndex];
-    auto armnnDelegateOutputTensor = armnnDelegateInterpreter->tensor(armnnDelegateOutputId);
-    auto armnnDelegateOutputData = armnnDelegateInterpreter->typed_tensor<T>(armnnDelegateOutputId);
-
-    CHECK(expectedOutputShape.size() == tfLiteDelegateOutputTensor->dims->size);
-    CHECK(expectedOutputShape.size() == armnnDelegateOutputTensor->dims->size);
-
-    for (size_t i = 0; i < expectedOutputShape.size(); i++)
-    {
-        CHECK(expectedOutputShape[i] == armnnDelegateOutputTensor->dims->data[i]);
-        CHECK(tfLiteDelegateOutputTensor->dims->data[i] == expectedOutputShape[i]);
-        CHECK(tfLiteDelegateOutputTensor->dims->data[i] == armnnDelegateOutputTensor->dims->data[i]);
-    }
-
-    armnnDelegate::CompareData(expectedOutputValues.data(), armnnDelegateOutputData    , expectedOutputValues.size());
-    armnnDelegate::CompareData(tfLiteDelegateOutputData   , expectedOutputValues.data(), expectedOutputValues.size());
-    armnnDelegate::CompareData(tfLiteDelegateOutputData   , armnnDelegateOutputData    , expectedOutputValues.size());
-}
-
-} // namespace armnnDelegate