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path: root/src/backends/cl/workloads/ClConvolution2dUint8Workload.cpp
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Diffstat (limited to 'src/backends/cl/workloads/ClConvolution2dUint8Workload.cpp')
-rw-r--r--src/backends/cl/workloads/ClConvolution2dUint8Workload.cpp8
1 files changed, 6 insertions, 2 deletions
diff --git a/src/backends/cl/workloads/ClConvolution2dUint8Workload.cpp b/src/backends/cl/workloads/ClConvolution2dUint8Workload.cpp
index d9b9dfd833..4f8da34e31 100644
--- a/src/backends/cl/workloads/ClConvolution2dUint8Workload.cpp
+++ b/src/backends/cl/workloads/ClConvolution2dUint8Workload.cpp
@@ -24,7 +24,7 @@ ClConvolution2dUint8Workload::ClConvolution2dUint8Workload(const Convolution2dQu
const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo();
m_KernelTensor = std::make_unique<arm_compute::CLTensor>();
- BuildArmComputeTensor(*m_KernelTensor, weightInfo, descriptor.m_DataLayout);
+ BuildArmComputeTensor(*m_KernelTensor, weightInfo, m_Data.m_Parameters.m_DataLayout);
arm_compute::PadStrideInfo padStrideInfo(m_Data.m_Parameters.m_StrideX,
m_Data.m_Parameters.m_StrideY,
@@ -37,7 +37,7 @@ ClConvolution2dUint8Workload::ClConvolution2dUint8Workload(const Convolution2dQu
if (m_Data.m_Parameters.m_BiasEnabled)
{
m_BiasTensor = std::make_unique<arm_compute::CLTensor>();
- BuildArmComputeTensor(*m_BiasTensor, m_Data.m_Bias->GetTensorInfo(), descriptor.m_DataLayout);
+ BuildArmComputeTensor(*m_BiasTensor, m_Data.m_Bias->GetTensorInfo(), m_Data.m_Parameters.m_DataLayout);
}
m_Data.ValidateInputsOutputs("ClConvolution2dUint8Workload", 1, 1);
@@ -45,6 +45,10 @@ ClConvolution2dUint8Workload::ClConvolution2dUint8Workload(const Convolution2dQu
arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+ arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
+ input.info()->set_data_layout(aclDataLayout);
+ output.info()->set_data_layout(aclDataLayout);
+
m_ConvolutionLayer.configure(&input,
m_KernelTensor.get(),
m_BiasTensor.get(),