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author | telsoa01 <telmo.soares@arm.com> | 2018-08-31 09:22:23 +0100 |
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committer | telsoa01 <telmo.soares@arm.com> | 2018-08-31 09:22:23 +0100 |
commit | c577f2c6a3b4ddb6ba87a882723c53a248afbeba (patch) | |
tree | bd7d4c148df27f8be6649d313efb24f536b7cf34 /src/armnn/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp | |
parent | 4c7098bfeab1ffe1cdc77f6c15548d3e73274746 (diff) | |
download | armnn-c577f2c6a3b4ddb6ba87a882723c53a248afbeba.tar.gz |
Release 18.08
Diffstat (limited to 'src/armnn/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp')
-rw-r--r-- | src/armnn/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp | 13 |
1 files changed, 10 insertions, 3 deletions
diff --git a/src/armnn/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp b/src/armnn/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp index 6e4cc69063..4fe823a288 100644 --- a/src/armnn/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp +++ b/src/armnn/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp @@ -12,6 +12,12 @@ namespace armnn { +RefConvolution2dFloat32Workload::RefConvolution2dFloat32Workload( + const Convolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) + : Float32Workload<Convolution2dQueueDescriptor>(descriptor, info), + m_Weight(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight))), + m_Bias(descriptor.m_Parameters.m_BiasEnabled + ? std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias)) : nullptr) {} void RefConvolution2dFloat32Workload::Execute() const { @@ -19,12 +25,13 @@ void RefConvolution2dFloat32Workload::Execute() const float* outputData = GetOutputTensorDataFloat(0, m_Data); const float* inputData = GetInputTensorDataFloat(0, m_Data); - const float* weightData = m_Data.m_Weight->template GetConstTensor<float>(); + const float* weightData = m_Weight->template GetConstTensor<float>(); const float* biasData = m_Data.m_Parameters.m_BiasEnabled ? - m_Data.m_Bias->template GetConstTensor<float>() : nullptr; + m_Bias->template GetConstTensor<float>() : nullptr; + const TensorInfo& filterInfo = m_Weight->GetTensorInfo(); ConvImpl<armnn::Convolution2dQueueDescriptor, float, float, float>( - m_Data, inputData, 0.0f, 0, weightData, 0.0f, 0, biasData, outputData, 0.0f, 0); + m_Data, inputData, 0.0f, 0, weightData, 0.0f, 0, biasData, outputData, 0.0f, 0, filterInfo); } } //namespace armnn |