From be88a57579a9a848efe13e6c524b5b104b871733 Mon Sep 17 00:00:00 2001
From: Sadik Armagan <sadik.armagan@arm.com>
Date: Thu, 30 Apr 2020 11:39:37 +0100
Subject: IVGCVSW-4753 Fix CpuAcc Hal 1.3 Softmax Failures

* Refactor Neon Softmax workload to accept supported data types

Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I54aa72d5cbb862cafcc1eabe48f6a00d61050cd7
---
 .../neon/workloads/NeonSoftmaxUint8Workload.cpp    | 51 ----------------------
 1 file changed, 51 deletions(-)
 delete mode 100644 src/backends/neon/workloads/NeonSoftmaxUint8Workload.cpp

(limited to 'src/backends/neon/workloads/NeonSoftmaxUint8Workload.cpp')

diff --git a/src/backends/neon/workloads/NeonSoftmaxUint8Workload.cpp b/src/backends/neon/workloads/NeonSoftmaxUint8Workload.cpp
deleted file mode 100644
index 05d93b963c..0000000000
--- a/src/backends/neon/workloads/NeonSoftmaxUint8Workload.cpp
+++ /dev/null
@@ -1,51 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "NeonSoftmaxUint8Workload.hpp"
-#include "NeonWorkloadUtils.hpp"
-
-#include <aclCommon/ArmComputeUtils.hpp>
-#include <armnn/utility/PolymorphicDowncast.hpp>
-
-#include <arm_compute/runtime/NEON/functions/NESoftmaxLayer.h>
-
-namespace armnn
-{
-
-NeonSoftmaxUint8Workload::NeonSoftmaxUint8Workload(const SoftmaxQueueDescriptor& descriptor,
-                                                   const WorkloadInfo& info,
-                                                   std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
-    : Uint8Workload<SoftmaxQueueDescriptor>(descriptor, info)
-{
-    m_Data.ValidateInputsOutputs("NeonSoftmaxUint8Workload", 1, 1);
-
-    arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
-    arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(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");
-    }
-
-    auto layer = std::make_unique<arm_compute::NESoftmaxLayer>(memoryManager);
-    unsigned int aclAxis = ComputeSoftmaxAclAxis(m_Data.m_Parameters, info.m_InputTensorInfos[0]);
-    layer->configure(&input, &output, descriptor.m_Parameters.m_Beta, aclAxis);
-    m_SoftmaxLayer.reset(layer.release());
-}
-
-void NeonSoftmaxUint8Workload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSoftmaxUint8Workload_Execute");
-
-    m_SoftmaxLayer->run();
-}
-
-} //namespace armnn
-
-- 
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