diff options
Diffstat (limited to 'src/backends/neon')
-rw-r--r-- | src/backends/neon/workloads/NeonLogSoftmaxWorkload.cpp | 4 | ||||
-rw-r--r-- | src/backends/neon/workloads/NeonSoftmaxWorkload.cpp | 4 |
2 files changed, 4 insertions, 4 deletions
diff --git a/src/backends/neon/workloads/NeonLogSoftmaxWorkload.cpp b/src/backends/neon/workloads/NeonLogSoftmaxWorkload.cpp index 058756e9af..9c8ab072c5 100644 --- a/src/backends/neon/workloads/NeonLogSoftmaxWorkload.cpp +++ b/src/backends/neon/workloads/NeonLogSoftmaxWorkload.cpp @@ -23,7 +23,7 @@ arm_compute::Status NeonLogSoftmaxWorkloadValidate(const TensorInfo& input, const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input); const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output); - int aclAxis = ComputeSoftmaxAclAxis<int>(descriptor, input); + int aclAxis = ComputeAclAxis(descriptor.m_Axis, input); return arm_compute::NELogSoftmaxLayer::validate(&aclInputInfo, &aclOutputInfo, descriptor.m_Beta, aclAxis); } @@ -38,7 +38,7 @@ NeonLogSoftmaxWorkload::NeonLogSoftmaxWorkload(const LogSoftmaxQueueDescriptor& arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); auto layer = std::make_unique<arm_compute::NELogSoftmaxLayer>(memoryManager); - int aclAxis = ComputeSoftmaxAclAxis<int>(m_Data.m_Parameters, info.m_InputTensorInfos[0]); + int aclAxis = ComputeAclAxis(m_Data.m_Parameters.m_Axis, info.m_InputTensorInfos[0]); layer->configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis); m_LogSoftmaxLayer.reset(layer.release()); } diff --git a/src/backends/neon/workloads/NeonSoftmaxWorkload.cpp b/src/backends/neon/workloads/NeonSoftmaxWorkload.cpp index b36bf7695f..37e7bfbac5 100644 --- a/src/backends/neon/workloads/NeonSoftmaxWorkload.cpp +++ b/src/backends/neon/workloads/NeonSoftmaxWorkload.cpp @@ -23,7 +23,7 @@ arm_compute::Status NeonSoftmaxWorkloadValidate(const TensorInfo& input, const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input); const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output); - int aclAxis = ComputeSoftmaxAclAxis<int>(descriptor, input); + int aclAxis = ComputeAclAxis(descriptor.m_Axis, input); return arm_compute::NESoftmaxLayer::validate(&aclInputInfo, &aclOutputInfo, descriptor.m_Beta, aclAxis); } @@ -38,7 +38,7 @@ NeonSoftmaxWorkload::NeonSoftmaxWorkload(const SoftmaxQueueDescriptor& descripto arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); auto layer = std::make_unique<arm_compute::NESoftmaxLayer>(memoryManager); - int aclAxis = ComputeSoftmaxAclAxis<int>(m_Data.m_Parameters, info.m_InputTensorInfos[0]); + int aclAxis = ComputeAclAxis(m_Data.m_Parameters.m_Axis, info.m_InputTensorInfos[0]); layer->configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis); m_SoftmaxLayer.reset(layer.release()); } |