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authorSadik Armagan <sadik.armagan@arm.com>2021-06-01 09:24:52 +0100
committerSadik Armagan <sadik.armagan@arm.com>2021-06-02 13:00:56 +0000
commit483c811ea6fd0e7801aac1afd979ed02a649064b (patch)
treea0969c8786528334b62043b40983fa21d54d524e /src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.cpp
parent31f86bfeb311ccc0c6ed94c35a78a51551148ea4 (diff)
downloadarmnn-483c811ea6fd0e7801aac1afd979ed02a649064b.tar.gz
IVGCVSW-5962 Remove boost::multi_array
* Replaced all instances of boost::multi_array with flat vectors. * Updated LayerTestResult struct with new member variables. * Updated CompareTensor function to compare flat vectors and the shape. * Removed MakeTensor function from TensorHelpers.hpp. * Removed GetTensorShapeAsArray function from LayerTestResult.hpp. * Removed boost::array usage. * Removed boost::extents usages. * Removed boost::random usages. Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: Iccde9d6640b534940292ff048fb80c00b38c4743
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.cpp')
-rw-r--r--src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.cpp23
1 files changed, 13 insertions, 10 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.cpp
index fdc6220d51..b16ce47c8f 100644
--- a/src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.cpp
@@ -23,16 +23,16 @@ LayerTestResult<float, 4> ConvertBf16ToFp32Test(
std::vector<armnn::BFloat16> inputValues = armnnUtils::QuantizedVector<armnn::BFloat16>(
{
-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
+ 1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f
},
1.0f, 0);
- auto input = MakeTensor<armnn::BFloat16, 4>(inputTensorInfo, std::vector<armnn::BFloat16>(inputValues));
-
- LayerTestResult<float, 4> ret(outputTensorInfo);
- ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo,
- { -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 });
+ std::vector<float> actualOutput(outputTensorInfo.GetNumElements());
+ std::vector<float> expectedOutput =
+ {
+ -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
+ };
std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
@@ -47,11 +47,14 @@ LayerTestResult<float, 4> ConvertBf16ToFp32Test(
inputHandle->Allocate();
outputHandle->Allocate();
- CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
+ CopyDataToITensorHandle(inputHandle.get(), inputValues.data());
workload->Execute();
- CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get());
+ CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get());
- return ret;
+ return LayerTestResult<float, 4>(actualOutput,
+ expectedOutput,
+ outputHandle->GetShape(),
+ outputTensorInfo.GetShape());
}