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path: root/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp
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Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp')
-rw-r--r--src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp28
1 files changed, 16 insertions, 12 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp
index db832594cd..9ab3746b61 100644
--- a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp
@@ -20,8 +20,9 @@ LayerTestResult<armnn::BFloat16, 4> ConvertFp32ToBf16Test(
const armnn::TensorInfo inputTensorInfo({1, 2, 4, 3}, armnn::DataType::Float32);
const armnn::TensorInfo outputTensorInfo({1, 2, 4, 3}, armnn::DataType::BFloat16);
- auto input = MakeTensor<float, 4>(inputTensorInfo,
- { -37.5f, -15.2f, -8.76f,
+ std::vector<float> input =
+ {
+ -37.5f, -15.2f, -8.76f,
-2.0f, -1.5f, -1.3f,
-0.5f, -0.4f, 0.0f,
1.0f, 0.4f, 0.5f,
@@ -33,13 +34,13 @@ LayerTestResult<armnn::BFloat16, 4> ConvertFp32ToBf16Test(
-3.8f, // 0xC0733333 Round down
-3.1055E+29f, // 0xF07ADC3C Round up
-9.149516E-10f // 0xB07B7FFF Round down
- });
+ };
- std::vector<armnn::BFloat16> outputValues = armnnUtils::QuantizedVector<armnn::BFloat16>(
+ std::vector<armnn::BFloat16> expectedOutput = armnnUtils::QuantizedVector<armnn::BFloat16>(
{
- -37.5f, -15.2f, -8.76f,
- -2.0f, -1.5f, -1.3f,
- -0.5f, -0.4f, 0.0f,
+ -37.5f, -15.2f, -8.76f,
+ -2.0f, -1.5f, -1.3f,
+ -0.5f, -0.4f, 0.0f,
1.0f, 0.4f, 0.5f,
1.3f, 1.5f, 2.0f,
8.76f, 15.2f, 37.5f,
@@ -52,8 +53,7 @@ LayerTestResult<armnn::BFloat16, 4> ConvertFp32ToBf16Test(
},
1.0f, 0);
- LayerTestResult<armnn::BFloat16, 4> ret(outputTensorInfo);
- ret.outputExpected = MakeTensor<armnn::BFloat16, 4>(outputTensorInfo, outputValues);
+ std::vector<armnn::BFloat16> actualOutput(outputTensorInfo.GetNumElements());
std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
@@ -68,11 +68,15 @@ LayerTestResult<armnn::BFloat16, 4> ConvertFp32ToBf16Test(
inputHandle->Allocate();
outputHandle->Allocate();
- CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
+ CopyDataToITensorHandle(inputHandle.get(), input.data());
workload->Execute();
- CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get());
+ CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get());
+
+ return LayerTestResult<armnn::BFloat16, 4>(actualOutput,
+ expectedOutput,
+ outputHandle->GetShape(),
+ outputTensorInfo.GetShape());
- return ret;
}