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author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2020-07-28 15:17:12 +0100 |
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committer | Jim Flynn <jim.flynn@arm.com> | 2020-07-29 15:45:21 +0000 |
commit | 7ac3ca67b8b38049ff373c35cdcba18c1d358a46 (patch) | |
tree | c6616dfe206f7c827142732805402eb3f609adc1 /src/backends/neon/workloads/NeonSoftmaxWorkload.cpp | |
parent | bbfe603e5ae42317a2b67d713d00882bea341c88 (diff) | |
download | armnn-7ac3ca67b8b38049ff373c35cdcba18c1d358a46.tar.gz |
IVGCVSW-5167 Use a generic axis in CL/Neon LogSoftmax and Softmax workload
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Id72d2c2851adcc1dd8f00a6103642b16ebe3a964
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 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()); } |