diff options
Diffstat (limited to 'src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp')
| -rw-r--r-- | src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp b/src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp index a65012eef4..f93fa77b0d 100644 --- a/src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp +++ b/src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp @@ -72,8 +72,8 @@ BOOST_AUTO_TEST_CASE(Fp32NetworkToBf16OptimizationConv2DTest) armnn::Convolution2dDescriptor descriptor; auto conv = graph.AddLayer<armnn::Convolution2dLayer>(descriptor, "conv2d"); - conv->m_Weight = std::make_unique<armnn::ScopedCpuTensorHandle>(weights); - conv->m_Bias = std::make_unique<armnn::ScopedCpuTensorHandle>(bias); + conv->m_Weight = std::make_unique<armnn::ScopedTensorHandle>(weights); + conv->m_Bias = std::make_unique<armnn::ScopedTensorHandle>(bias); conv->GetOutputSlot().SetTensorInfo(infoFP32); auto output = graph.AddLayer<armnn::OutputLayer>(1, "output"); @@ -142,8 +142,8 @@ BOOST_AUTO_TEST_CASE(Fp32NetworkToBf16OptimizationFullyConnectedTest) armnn::FullyConnectedDescriptor descriptor; auto fc = graph.AddLayer<armnn::FullyConnectedLayer>(descriptor, "fully"); - fc->m_Weight = std::make_unique<armnn::ScopedCpuTensorHandle>(weights); - fc->m_Bias = std::make_unique<armnn::ScopedCpuTensorHandle>(bias); + fc->m_Weight = std::make_unique<armnn::ScopedTensorHandle>(weights); + fc->m_Bias = std::make_unique<armnn::ScopedTensorHandle>(bias); fc->GetOutputSlot().SetTensorInfo(infoFP32); auto output = graph.AddLayer<armnn::OutputLayer>(1, "output"); |