aboutsummaryrefslogtreecommitdiff
path: root/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp')
-rw-r--r--src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp24
1 files changed, 18 insertions, 6 deletions
diff --git a/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp b/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp
index 5bff7a63c9..24be7cddca 100644
--- a/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp
+++ b/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp
@@ -23,12 +23,20 @@ arm_compute::Status ClBatchNormalizationValidate(const TensorInfo& input,
const TensorInfo& gamma,
const BatchNormalizationDescriptor &desc)
{
- 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 = desc.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::CLBatchNormalizationLayer::validate(&aclInputInfo,
&aclOutputInfo,
@@ -60,6 +68,10 @@ ClBatchNormalizationFloatWorkload::ClBatchNormalizationFloatWorkload(
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.GetDataLayout());
+ input.info()->set_data_layout(aclDataLayout);
+ output.info()->set_data_layout(aclDataLayout);
+
m_Layer.configure(&input,
&output,
m_Mean.get(),