IVGCVSW-1784: Rename float32 workloads for ACL

Change-Id: I98bdfe9cb12c663d1d5cfa456e2cc967d70ab22b

1 files changed, 0 insertions, 94 deletions

diff --git a/src/armnn/backends/ClWorkloads/ClBatchNormalizationFloat32Workload.cpp b/src/armnn/backends/ClWorkloads/ClBatchNormalizationFloat32Workload.cpp
deleted file mode 100644
index 1849c5d411..0000000000
--- a/src/armnn/backends/ClWorkloads/ClBatchNormalizationFloat32Workload.cpp
+++ /dev/null
@@ -1,94 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// See LICENSE file in the project root for full license information.
-//
-
-#include "ClBatchNormalizationFloat32Workload.hpp"
-#include "backends/ClTensorHandle.hpp"
-#include "backends/CpuTensorHandle.hpp"
-#include "backends/ArmComputeTensorUtils.hpp"
-#include "backends/ClLayerSupport.hpp"
-
-namespace armnn
-{
-using namespace armcomputetensorutils;
-
-arm_compute::Status ClBatchNormalizationValidate(const TensorInfo& input,
-                                                 const TensorInfo& output,
-                                                 const TensorInfo& mean,
-                                                 const TensorInfo& var,
-                                                 const TensorInfo& beta,
-                                                 const TensorInfo& gamma,
-                                                 const BatchNormalizationDescriptor &desc)
-{
-    const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
-    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
-    const arm_compute::TensorInfo aclMeanInfo = BuildArmComputeTensorInfo(mean);
-    const arm_compute::TensorInfo aclVarInfo = BuildArmComputeTensorInfo(var);
-    const arm_compute::TensorInfo aclBetaInfo = BuildArmComputeTensorInfo(beta);
-    const arm_compute::TensorInfo aclGammaInfo = BuildArmComputeTensorInfo(gamma);
-
-    return arm_compute::CLBatchNormalizationLayer::validate(&aclInputInfo,
-                                                            &aclOutputInfo,
-                                                            &aclMeanInfo,
-                                                            &aclVarInfo,
-                                                            &aclBetaInfo,
-                                                            &aclGammaInfo,
-                                                            desc.m_Eps);
-}
-
-ClBatchNormalizationFloat32Workload::ClBatchNormalizationFloat32Workload(
-    const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info)
-    : FloatWorkload<BatchNormalizationQueueDescriptor>(descriptor, info)
-{
-    m_Mean = std::make_unique<arm_compute::CLTensor>();
-    BuildArmComputeTensor(*m_Mean, m_Data.m_Mean->GetTensorInfo());
-
-    m_Variance = std::make_unique<arm_compute::CLTensor>();
-    BuildArmComputeTensor(*m_Variance, m_Data.m_Variance->GetTensorInfo());
-
-    m_Gamma = std::make_unique<arm_compute::CLTensor>();
-    BuildArmComputeTensor(*m_Gamma, m_Data.m_Gamma->GetTensorInfo());
-
-    m_Beta = std::make_unique<arm_compute::CLTensor>();
-    BuildArmComputeTensor(*m_Beta, m_Data.m_Beta->GetTensorInfo());
-
-    m_Data.ValidateInputsOutputs("ClBatchNormalizationFloat32Workload", 1, 1);
-
-    arm_compute::ICLTensor& input  = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
-    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
-
-    m_Layer.configure(&input,
-                      &output,
-                      m_Mean.get(),
-                      m_Variance.get(),
-                      m_Beta.get(),
-                      m_Gamma.get(),
-                      m_Data.m_Parameters.m_Eps);
-
-    InitializeArmComputeClTensorDataForFloatTypes(*m_Mean, m_Data.m_Mean);
-    InitializeArmComputeClTensorDataForFloatTypes(*m_Variance, m_Data.m_Variance);
-    InitializeArmComputeClTensorDataForFloatTypes(*m_Beta, m_Data.m_Beta);
-    InitializeArmComputeClTensorDataForFloatTypes(*m_Gamma, m_Data.m_Gamma);
-
-    // Force Compute Library to perform the necessary copying and reshaping, after which
-    // delete all the input tensors that will no longer be needed
-    m_Layer.prepare();
-    FreeUnusedTensors();
-}
-
-void ClBatchNormalizationFloat32Workload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT_CL("ClBatchNormalizationFloat32Workload_Execute");
-    m_Layer.run();
-}
-
-void ClBatchNormalizationFloat32Workload::FreeUnusedTensors()
-{
-    FreeTensorIfUnused(m_Mean);
-    FreeTensorIfUnused(m_Variance);
-    FreeTensorIfUnused(m_Gamma);
-    FreeTensorIfUnused(m_Beta);
-}
-
-} //namespace armnn
\ No newline at end of file