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| author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2020-05-11 16:10:38 +0100 |
|---|---|---|
| committer | TeresaARM <teresa.charlinreyes@arm.com> | 2020-05-13 18:34:12 +0000 |
| commit | c1f6b09cc22b6e2de3d9eb88aec1778d0308a2b3 (patch) | |
| tree | 14a70415b6d17b42246798a293dfdd13cbe4c123 /src/backends/neon/workloads/NeonSoftmaxWorkload.cpp | |
| parent | 0c32ccfcd0b770cdd4eeb9d778b7f72a233e229a (diff) | |
| download | armnn-c1f6b09cc22b6e2de3d9eb88aec1778d0308a2b3.tar.gz | |
IVGCVSW-4753 Refactor CL Softmax workload generalizing for different datatype
* Change ComputeSoftmaxAclAxis to work with int and uint axis
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ibbfa9ec7e2f0416e6885673212a767419c871cca
Diffstat (limited to 'src/backends/neon/workloads/NeonSoftmaxWorkload.cpp')
| -rw-r--r-- | src/backends/neon/workloads/NeonSoftmaxWorkload.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/backends/neon/workloads/NeonSoftmaxWorkload.cpp b/src/backends/neon/workloads/NeonSoftmaxWorkload.cpp index 149804bdd6..35e2e0e3fc 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); - unsigned int aclAxis = ComputeSoftmaxAclAxis(descriptor, input); + unsigned int aclAxis = ComputeSoftmaxAclAxis<unsigned int>(descriptor, 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); - unsigned int aclAxis = ComputeSoftmaxAclAxis(m_Data.m_Parameters, info.m_InputTensorInfos[0]); + unsigned int aclAxis = ComputeSoftmaxAclAxis<unsigned int>(m_Data.m_Parameters, info.m_InputTensorInfos[0]); layer->configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis); m_SoftmaxLayer.reset(layer.release()); } |