diff options
Diffstat (limited to 'src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp')
| -rw-r--r-- | src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp b/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp index afc6135e0f..19c50db15b 100644 --- a/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp +++ b/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp @@ -20,8 +20,8 @@ NeonSoftmaxFloatWorkload::NeonSoftmaxFloatWorkload(const SoftmaxQueueDescriptor& m_Data.ValidateInputsOutputs("NeonSoftmaxFloatWorkload", 1, 1); // The ArmCompute softmax layer uses 2D input/output tensors, so flatten the first three dimensions. - 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::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); unsigned int aclAxis = ComputeSoftmaxAclAxis(info.m_InputTensorInfos[0]); auto layer = std::make_unique<arm_compute::NESoftmaxLayer>(memoryManager); |