IVGCVSW-5378 'TfLiteDelegate: Implement the ElementWiseUnary operators '

* Moved ElementwiseUnary operators tests into single file
* Implemented FP32 test for supported ElementwiseUnary operators

Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I4b7eab190c3c8edb50927b8e1e94dd353597efcb

1 files changed, 0 insertions, 98 deletions

diff --git a/delegate/src/test/AbsTest.cpp b/delegate/src/test/AbsTest.cpp
deleted file mode 100644
index f9c345e6d2..0000000000
--- a/delegate/src/test/AbsTest.cpp
+++ /dev/null
@@ -1,98 +0,0 @@
-//
-// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "ElementwiseUnaryTestHelper.hpp"
-
-#include <armnn_delegate.hpp>
-
-#include <flatbuffers/flatbuffers.h>
-#include <tensorflow/lite/interpreter.h>
-#include <tensorflow/lite/kernels/register.h>
-#include <tensorflow/lite/model.h>
-#include <tensorflow/lite/schema/schema_generated.h>
-#include <tensorflow/lite/version.h>
-
-#include <doctest/doctest.h>
-
-namespace armnnDelegate
-{
-
-TEST_SUITE("AbsTest")
-{
-
-TEST_CASE ("AbsTestFloat32")
-{
-    using namespace tflite;
-
-    const std::vector<int32_t> inputShape  { { 3, 1, 2} };
-    std::vector<char> modelBuffer = CreateElementwiseUnaryTfLiteModel(BuiltinOperator_ABS,
-                                                                      ::tflite::TensorType_FLOAT32,
-                                                                      inputShape);
-    const Model* tfLiteModel = GetModel(modelBuffer.data());
-
-    // Create TfLite Interpreters
-    std::unique_ptr<Interpreter> armnnDelegateInterpreter;
-    CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver())
-                (&armnnDelegateInterpreter) == kTfLiteOk);
-    CHECK(armnnDelegateInterpreter != nullptr);
-    CHECK(armnnDelegateInterpreter->AllocateTensors() == kTfLiteOk);
-
-    std::unique_ptr<Interpreter> tfLiteInterpreter;
-    CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver())
-                (&tfLiteInterpreter) == kTfLiteOk);
-    CHECK(tfLiteInterpreter != nullptr);
-    CHECK(tfLiteInterpreter->AllocateTensors() == kTfLiteOk);
-
-    // Create the ArmNN Delegate
-    auto delegateOptions = TfLiteArmnnDelegateOptionsDefault();
-    auto armnnDelegate = TfLiteArmnnDelegateCreate(delegateOptions);
-    CHECK(armnnDelegate != nullptr);
-    // Modify armnnDelegateInterpreter to use armnnDelegate
-    CHECK(armnnDelegateInterpreter->ModifyGraphWithDelegate(armnnDelegate) == kTfLiteOk);
-
-    // Set input data
-    std::vector<float> inputValues
-    {
-        -0.1f, -0.2f, -0.3f,
-        0.1f,  0.2f,  0.3f
-    };
-    auto tfLiteDelegateInputId = tfLiteInterpreter->inputs()[0];
-    auto tfLiteDelageInputData = tfLiteInterpreter->typed_tensor<float>(tfLiteDelegateInputId);
-    for (unsigned int i = 0; i < inputValues.size(); ++i)
-    {
-        tfLiteDelageInputData[i] = inputValues[i];
-    }
-
-    auto armnnDelegateInputId = armnnDelegateInterpreter->inputs()[0];
-    auto armnnDelegateInputData = armnnDelegateInterpreter->typed_tensor<float>(armnnDelegateInputId);
-    for (unsigned int i = 0; i < inputValues.size(); ++i)
-    {
-        armnnDelegateInputData[i] = inputValues[i];
-    }
-
-    // Run EnqueWorkload
-    CHECK(tfLiteInterpreter->Invoke() == kTfLiteOk);
-    CHECK(armnnDelegateInterpreter->Invoke() == kTfLiteOk);
-
-    // Compare output data
-    auto tfLiteDelegateOutputId = tfLiteInterpreter->outputs()[0];
-    auto tfLiteDelageOutputData = tfLiteInterpreter->typed_tensor<float>(tfLiteDelegateOutputId);
-
-    auto armnnDelegateOutputId = armnnDelegateInterpreter->outputs()[0];
-    auto armnnDelegateOutputData = armnnDelegateInterpreter->typed_tensor<float>(armnnDelegateOutputId);
-
-    for (size_t i = 0; i < inputValues.size(); i++)
-    {
-        CHECK(std::abs(inputValues[i]) == armnnDelegateOutputData[i]);
-        CHECK(tfLiteDelageOutputData[i] == armnnDelegateOutputData[i]);
-    }
-}
-
-}
-
-} // namespace armnnDelegate
-
-
-