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path: root/src/backends/neon/workloads/NeonDepthwiseConvolutionFloatWorkload.cpp
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Diffstat (limited to 'src/backends/neon/workloads/NeonDepthwiseConvolutionFloatWorkload.cpp')
-rw-r--r--src/backends/neon/workloads/NeonDepthwiseConvolutionFloatWorkload.cpp8
1 files changed, 6 insertions, 2 deletions
diff --git a/src/backends/neon/workloads/NeonDepthwiseConvolutionFloatWorkload.cpp b/src/backends/neon/workloads/NeonDepthwiseConvolutionFloatWorkload.cpp
index 742a768b94..4b266f3288 100644
--- a/src/backends/neon/workloads/NeonDepthwiseConvolutionFloatWorkload.cpp
+++ b/src/backends/neon/workloads/NeonDepthwiseConvolutionFloatWorkload.cpp
@@ -20,12 +20,12 @@ NeonDepthwiseConvolutionFloatWorkload::NeonDepthwiseConvolutionFloatWorkload(
const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo();
m_KernelTensor = std::make_unique<arm_compute::Tensor>();
- BuildArmComputeTensor(*m_KernelTensor, weightInfo, descriptor.m_DataLayout);
+ BuildArmComputeTensor(*m_KernelTensor, weightInfo, m_Data.m_Parameters.m_DataLayout);
if (m_Data.m_Parameters.m_BiasEnabled)
{
m_BiasTensor = std::make_unique<arm_compute::Tensor>();
- 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);
}
arm_compute::PadStrideInfo padStrideInfo(m_Data.m_Parameters.m_StrideX,
@@ -41,6 +41,10 @@ NeonDepthwiseConvolutionFloatWorkload::NeonDepthwiseConvolutionFloatWorkload(
arm_compute::ITensor& input = static_cast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output = static_cast<INeonTensorHandle*>(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);
+
bool use3x3Optimisation = weightInfo.GetShape()[3] == 3 && weightInfo.GetShape()[2] == 3;
if (use3x3Optimisation)
{