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path: root/src/backends/neon/workloads/NeonBatchNormalizationFloatWorkload.cpp
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Diffstat (limited to 'src/backends/neon/workloads/NeonBatchNormalizationFloatWorkload.cpp')
-rw-r--r--src/backends/neon/workloads/NeonBatchNormalizationFloatWorkload.cpp24
1 files changed, 18 insertions, 6 deletions
diff --git a/src/backends/neon/workloads/NeonBatchNormalizationFloatWorkload.cpp b/src/backends/neon/workloads/NeonBatchNormalizationFloatWorkload.cpp
index f7056a515b..95cfdce9b4 100644
--- a/src/backends/neon/workloads/NeonBatchNormalizationFloatWorkload.cpp
+++ b/src/backends/neon/workloads/NeonBatchNormalizationFloatWorkload.cpp
@@ -21,12 +21,20 @@ arm_compute::Status NeonBatchNormalizationValidate(const TensorInfo& input,
const TensorInfo& gamma,
const BatchNormalizationDescriptor& descriptor)
{
- const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
- const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
- const arm_compute::TensorInfo aclMeanInfo = BuildArmComputeTensorInfo(mean);
- const arm_compute::TensorInfo aclVarInfo = BuildArmComputeTensorInfo(var);
- const arm_compute::TensorInfo aclBetaInfo = BuildArmComputeTensorInfo(beta);
- const arm_compute::TensorInfo aclGammaInfo = BuildArmComputeTensorInfo(gamma);
+ const DataLayout dataLayout = descriptor.m_DataLayout.GetDataLayout();
+
+ const arm_compute::TensorInfo aclInputInfo =
+ armcomputetensorutils::BuildArmComputeTensorInfo(input, dataLayout);
+ const arm_compute::TensorInfo aclOutputInfo =
+ armcomputetensorutils::BuildArmComputeTensorInfo(output, dataLayout);
+ const arm_compute::TensorInfo aclMeanInfo =
+ armcomputetensorutils::BuildArmComputeTensorInfo(mean, dataLayout);
+ const arm_compute::TensorInfo aclVarInfo =
+ armcomputetensorutils::BuildArmComputeTensorInfo(var, dataLayout);
+ const arm_compute::TensorInfo aclBetaInfo =
+ armcomputetensorutils::BuildArmComputeTensorInfo(beta, dataLayout);
+ const arm_compute::TensorInfo aclGammaInfo =
+ armcomputetensorutils::BuildArmComputeTensorInfo(gamma, dataLayout);
return arm_compute::NEBatchNormalizationLayer::validate(&aclInputInfo,
&aclOutputInfo,
@@ -46,6 +54,10 @@ NeonBatchNormalizationFloatWorkload::NeonBatchNormalizationFloatWorkload(
arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+ arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout.GetDataLayout());
+ input.info()->set_data_layout(aclDataLayout);
+ output.info()->set_data_layout(aclDataLayout);
+
m_Mean = std::make_unique<arm_compute::Tensor>();
BuildArmComputeTensor(*m_Mean, m_Data.m_Mean->GetTensorInfo());