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Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonSoftmaxUint8Workload.cpp')
| -rw-r--r-- | src/armnn/backends/NeonWorkloads/NeonSoftmaxUint8Workload.cpp | 41 |
1 files changed, 0 insertions, 41 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonSoftmaxUint8Workload.cpp b/src/armnn/backends/NeonWorkloads/NeonSoftmaxUint8Workload.cpp deleted file mode 100644 index cff869c9b7..0000000000 --- a/src/armnn/backends/NeonWorkloads/NeonSoftmaxUint8Workload.cpp +++ /dev/null @@ -1,41 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "NeonSoftmaxUint8Workload.hpp" - -namespace armnn -{ - -NeonSoftmaxUint8Workload::NeonSoftmaxUint8Workload(const SoftmaxQueueDescriptor& descriptor, - const WorkloadInfo& info, - std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager) - : Uint8Workload<SoftmaxQueueDescriptor>(descriptor, info) - , m_SoftmaxLayer(memoryManager) -{ - m_Data.ValidateInputsOutputs("NeonSoftmaxUint8Workload", 1, 1); - - 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(); - - const auto outputQuantization = output.info()->quantization_info(); - - if ((outputQuantization.scale != (1.0f / 256.0f)) || (outputQuantization.offset != 0)) - { - throw InvalidArgumentException( - "Invalid quantization for output. Only scale = 1.0f / 256.0f and offset = 0 supported"); - } - - m_SoftmaxLayer.configure(&input, &output, descriptor.m_Parameters.m_Beta); -} - -void NeonSoftmaxUint8Workload::Execute() const -{ - ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSoftmaxUint8Workload_Execute"); - - m_SoftmaxLayer.run(); -} - -} //namespace armnn - |