Function AveragePool3dFP32PaddingSameTest

delegate/test/Pooling3dTest.cpp:181–212

}

void AveragePool3dFP32PaddingSameTest(const std::vector<armnn::BackendId>& backends = {})
{
    // Set input data and expected output data
    std::vector<int32_t> inputShape = { 4, 2, 3, 1, 1 };
    std::vector<int32_t> outputShape = { 4, 2, 3, 1, 1 };

    std::vector<float> inputValues = { 1, 2, 3, 4, 5, 6,
                                       1, 2, 3, 4, 5, 6,
                                       1, 2, 3, 4, 5, 6,
                                       1, 2, 3, 4, 5, 6 };
    std::vector<float> expectedOutputValues = { 3, 4, 4.5, 4.5, 5.5, 6, 3, 4, 4.5, 4.5, 5.5, 6, 3, 4, 4.5, 4.5 };

    // poolType string required to create the correct pooling operator
    // Padding type required to create the padding in custom options
    std::string poolType = "kAverage";
    TfLitePadding padding = kTfLitePaddingSame;

    Pooling3dTest<float>(poolType,
                         ::tflite::TensorType_FLOAT32,
                         inputShape,
                         outputShape,
                         inputValues,
                         expectedOutputValues,
                         backends,
                         padding,
                         1,
                         1,
                         1,
                         2,
                         2,
                         2);
}

void AveragePool3dFP32H1Test(const std::vector<armnn::BackendId>& backends = {})
{