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-rw-r--r--src/backends/cl/workloads/ClSoftmaxUint8Workload.cpp46
1 files changed, 0 insertions, 46 deletions
diff --git a/src/backends/cl/workloads/ClSoftmaxUint8Workload.cpp b/src/backends/cl/workloads/ClSoftmaxUint8Workload.cpp
deleted file mode 100644
index f14ea11c82..0000000000
--- a/src/backends/cl/workloads/ClSoftmaxUint8Workload.cpp
+++ /dev/null
@@ -1,46 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "ClSoftmaxUint8Workload.hpp"
-#include "ClWorkloadUtils.hpp"
-
-#include <aclCommon/ArmComputeUtils.hpp>
-#include <cl/ClTensorHandle.hpp>
-#include <backendsCommon/CpuTensorHandle.hpp>
-
-namespace armnn
-{
-
-ClSoftmaxUint8Workload::ClSoftmaxUint8Workload(const SoftmaxQueueDescriptor& descriptor, const WorkloadInfo& info,
- std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
- : Uint8Workload<SoftmaxQueueDescriptor>(descriptor, info)
- , m_SoftmaxLayer(memoryManager)
-{
- m_Data.ValidateInputsOutputs("ClSoftmaxUint8Workload", 1, 1);
-
- arm_compute::ICLTensor& input = static_cast<ClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
- arm_compute::ICLTensor& output = static_cast<ClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
-
- const auto outputQuantization = output.info()->quantization_info();
-
- if ((!outputQuantization.scale().empty() && outputQuantization.scale()[0] != (1.0f / 256.0f)) ||
- (!outputQuantization.offset().empty() && outputQuantization.offset()[0] != 0) ||
- outputQuantization.scale().empty() || outputQuantization.offset().empty())
- {
- throw InvalidArgumentException(
- "Invalid quantization for output. Only scale = 1.0f / 256.0f and offset = 0 supported");
- }
-
- unsigned int aclAxis = ComputeSoftmaxAclAxis(m_Data.m_Parameters, info.m_InputTensorInfos[0]);
- m_SoftmaxLayer.configure(&input, &output, descriptor.m_Parameters.m_Beta, aclAxis);
-}
-
-void ClSoftmaxUint8Workload::Execute() const
-{
- ARMNN_SCOPED_PROFILING_EVENT_CL("ClSoftmaxUint8Workload_Execute");
- RunClFunction(m_SoftmaxLayer, CHECK_LOCATION());
-}
-
-} //namespace armnn