Function SoftmaxTest

delegate/test/SoftmaxTestHelper.hpp:98–133

}

void SoftmaxTest(tflite::BuiltinOperator softmaxOperatorCode,
                 tflite::TensorType tensorType,
                 std::vector<int32_t>& shape,
                 std::vector<float>& inputValues,
                 std::vector<float>& expectedOutputValues,
                 const std::vector<armnn::BackendId>& backends = {},
                 float beta = 0)
{
    using namespace delegateTestInterpreter;
    std::vector<char> modelBuffer = CreateSoftmaxTfLiteModel(softmaxOperatorCode,
                                                             tensorType,
                                                             shape,
                                                             beta);

    // Setup interpreter with just TFLite Runtime.
    auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer);
    CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk);
    CHECK(tfLiteInterpreter.FillInputTensor<float>(inputValues, 0) == 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>(inputValues, 0) == 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, shape);

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


/// Convenience function to run softmax and log-softmax test cases