1 files changed, 0 insertions, 56 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClActivationFloatWorkload.cpp b/src/armnn/backends/ClWorkloads/ClActivationFloatWorkload.cpp
deleted file mode 100644
index 97078bddd8..0000000000
--- a/src/armnn/backends/ClWorkloads/ClActivationFloatWorkload.cpp
+++ /dev/null
@@ -1,56 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "ClActivationFloatWorkload.hpp"
-#include "backends/ClTensorHandle.hpp"
-#include "backends/ArmComputeUtils.hpp"
-
-#include "ClWorkloadUtils.hpp"
-
-namespace armnn
-{
-arm_compute::Status ClActivationWorkloadValidate(const TensorInfo& input,
-                                                 const TensorInfo& output,
-                                                 const ActivationDescriptor& descriptor)
-{
-    const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input);
-    const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
-
-    const arm_compute::ActivationLayerInfo activationLayerInfo =
-        ConvertActivationDescriptorToAclActivationLayerInfo(descriptor);
-
-    if (input.GetDataType() == DataType::QuantisedAsymm8 &&
-        activationLayerInfo.activation() == arm_compute::ActivationLayerInfo::ActivationFunction::LOGISTIC)
-    {
-        return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR,
-                                   "CL: Logistic Activations unsupported with QAsymm8 data type."};
-    }
-
-    return arm_compute::CLActivationLayer::validate(&aclInput,
-                                                    &aclOutput,
-                                                    activationLayerInfo);
-}
-
-ClActivationFloatWorkload::ClActivationFloatWorkload(const ActivationQueueDescriptor& descriptor,
-                                                         const WorkloadInfo& info)
-    : FloatWorkload<ActivationQueueDescriptor>(descriptor, info)
-{
-    m_Data.ValidateInputsOutputs("ClActivationFloatWorkload", 1, 1);
-
-    const arm_compute::ActivationLayerInfo activationLayerInfo =
-        ConvertActivationDescriptorToAclActivationLayerInfo(m_Data.m_Parameters);
-
-    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();
-    m_ActivationLayer.configure(&input, &output, activationLayerInfo);
-}
-
-void ClActivationFloatWorkload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT_CL("ClActivationFloatWorkload_Execute");
-    m_ActivationLayer.run();
-}
-
-} //namespace armnn