Function ResizeFP32TestImpl

delegate/test/ResizeTestHelper.hpp:116–157

}

void ResizeFP32TestImpl(tflite::BuiltinOperator operatorCode,
                        std::vector<float>& input1Values,
                        std::vector<int32_t> input1Shape,
                        std::vector<int32_t> input2NewShape,
                        std::vector<int32_t> input2Shape,
                        std::vector<float>& expectedOutputValues,
                        std::vector<int32_t> expectedOutputShape,
                        const std::vector<armnn::BackendId>& backends = {})
{
    using namespace delegateTestInterpreter;

    std::vector<char> modelBuffer = CreateResizeTfLiteModel(operatorCode,
                                                            ::tflite::TensorType_FLOAT32,
                                                            input1Shape,
                                                            input2NewShape,
                                                            input2Shape,
                                                            expectedOutputShape);

    // Setup interpreter with just TFLite Runtime.
    auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer);
    CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk);
    CHECK(tfLiteInterpreter.FillInputTensor<float>(input1Values, 0) == kTfLiteOk);
    CHECK(tfLiteInterpreter.FillInputTensor<int32_t>(input2NewShape, 1) == kTfLiteOk);
    CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk);
    std::vector<float>   tfLiteOutputValues = tfLiteInterpreter.GetOutputResult<float>(0);
    std::vector<int32_t> tfLiteOutputShape  = tfLiteInterpreter.GetOutputShape(0);

    // Setup interpreter with Arm NN Delegate applied.
    auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, CaptureAvailableBackends(backends));
    CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk);
    CHECK(armnnInterpreter.FillInputTensor<float>(input1Values, 0) == kTfLiteOk);
    CHECK(armnnInterpreter.FillInputTensor<int32_t>(input2NewShape, 1) == kTfLiteOk);
    CHECK(armnnInterpreter.Invoke() == kTfLiteOk);
    std::vector<float>   armnnOutputValues = armnnInterpreter.GetOutputResult<float>(0);
    std::vector<int32_t> armnnOutputShape  = armnnInterpreter.GetOutputShape(0);

    armnnDelegate::CompareOutputData<float>(tfLiteOutputValues, armnnOutputValues, expectedOutputValues);
    armnnDelegate::CompareOutputShape(tfLiteOutputShape, armnnOutputShape, expectedOutputShape);

    tfLiteInterpreter.Cleanup();
    armnnInterpreter.Cleanup();
}

} // anonymous namespace