From 10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab Mon Sep 17 00:00:00 2001
From: David Beck <david.beck@arm.com>
Date: Wed, 19 Sep 2018 12:03:20 +0100
Subject: IVGCVSW-1897 : build infrastructure for the src/backends folder

Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb
---
 .../NeonWorkloads/NeonSoftmaxFloatWorkload.cpp     | 32 ----------------------
 1 file changed, 32 deletions(-)
 delete mode 100644 src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp

(limited to 'src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp')

diff --git a/src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp b/src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp
deleted file mode 100644
index 92e5139c1a..0000000000
--- a/src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp
+++ /dev/null
@@ -1,32 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "NeonSoftmaxFloatWorkload.hpp"
-
-namespace armnn
-{
-
-NeonSoftmaxFloatWorkload::NeonSoftmaxFloatWorkload(const SoftmaxQueueDescriptor& descriptor,
-    const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
-    : FloatWorkload<SoftmaxQueueDescriptor>(descriptor, info)
-    , m_SoftmaxLayer(memoryManager)
-{
-    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();
-
-    m_SoftmaxLayer.configure(&input, &output, m_Data.m_Parameters.m_Beta);
-}
-
-void NeonSoftmaxFloatWorkload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSoftmaxFloatWorkload_Execute");
-    m_SoftmaxLayer.run();
-}
-
-} //namespace armnn
-
-- 
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