8 files changed, 95 insertions, 3 deletions
diff --git a/src/backends/neon/NeonLayerSupport.cpp b/src/backends/neon/NeonLayerSupport.cpp
index 78776124ec..999b158f74 100644
--- a/src/backends/neon/NeonLayerSupport.cpp
+++ b/src/backends/neon/NeonLayerSupport.cpp
@@ -38,6 +38,7 @@
 #include "workloads/NeonMinimumWorkload.hpp"
 #include "workloads/NeonMultiplicationWorkload.hpp"
 #include "workloads/NeonDivisionWorkload.hpp"
+#include "workloads/NeonNegWorkload.hpp"
 #include "workloads/NeonNormalizationFloatWorkload.hpp"
 #include "workloads/NeonFullyConnectedWorkload.hpp"
 #include "workloads/NeonPadWorkload.hpp"
@@ -370,6 +371,13 @@ bool NeonLayerSupport::IsElementwiseUnarySupported(const TensorInfo& input,
                                        input,
                                        output);
     }
+    else if (descriptor.m_Operation == UnaryOperation::Neg)
+    {
+        FORWARD_WORKLOAD_VALIDATE_FUNC(NeonNegWorkloadValidate,
+                                       reasonIfUnsupported,
+                                       input,
+                                       output);
+    }
 
     return false;
 }
diff --git a/src/backends/neon/NeonWorkloadFactory.cpp b/src/backends/neon/NeonWorkloadFactory.cpp
index cc7dca031d..bf26d82a76 100644
--- a/src/backends/neon/NeonWorkloadFactory.cpp
+++ b/src/backends/neon/NeonWorkloadFactory.cpp
@@ -218,9 +218,8 @@ std::unique_ptr<armnn::IWorkload> NeonWorkloadFactory::CreateDivision(
     return std::make_unique<NeonDivisionWorkload>(descriptor, info);
 }
 
-std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateElementwiseUnary(const ElementwiseUnaryQueueDescriptor&
-                                                                       descriptor,
-                                                                       const WorkloadInfo& info) const
+std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateElementwiseUnary(
+    const ElementwiseUnaryQueueDescriptor& descriptor, const WorkloadInfo& info) const
 {
     if (descriptor.m_Parameters.m_Operation == UnaryOperation::Abs)
     {
@@ -238,6 +237,10 @@ std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateElementwiseUnary(const Ele
 
         return std::make_unique<NeonRsqrtWorkload>(rsqrtQueueDescriptor, info);
     }
+    else if (descriptor.m_Parameters.m_Operation == UnaryOperation::Neg)
+    {
+        return std::make_unique<NeonNegWorkload>(descriptor, info);
+    }
     return MakeWorkloadHelper<NullWorkload, NullWorkload>(descriptor, info);
 }
 
diff --git a/src/backends/neon/backend.mk b/src/backends/neon/backend.mk
index d9a5405983..3cb8bd582a 100644
--- a/src/backends/neon/backend.mk
+++ b/src/backends/neon/backend.mk
@@ -47,6 +47,7 @@ BACKEND_SOURCES := \
         workloads/NeonMinimumWorkload.cpp \
         workloads/NeonMultiplicationWorkload.cpp \
         workloads/NeonDivisionWorkload.cpp \
+        workloads/NeonNegWorkload.cpp \
         workloads/NeonNormalizationFloatWorkload.cpp \
         workloads/NeonPadWorkload.cpp \
         workloads/NeonPermuteWorkload.cpp \
diff --git a/src/backends/neon/test/NeonLayerTests.cpp b/src/backends/neon/test/NeonLayerTests.cpp
index d3ca675679..06b5597fcf 100644
--- a/src/backends/neon/test/NeonLayerTests.cpp
+++ b/src/backends/neon/test/NeonLayerTests.cpp
@@ -1069,6 +1069,12 @@ ARMNN_AUTO_TEST_CASE(ArgMaxChannelQAsymm8, ArgMaxChannelTest<DataType::QAsymmU8>
 ARMNN_AUTO_TEST_CASE(ArgMaxHeightQAsymm8, ArgMaxHeightTest<DataType::QAsymmU8>)
 ARMNN_AUTO_TEST_CASE(ArgMinWidthQAsymm8, ArgMinWidthTest<DataType::QAsymmU8>)
 
+// Neg
+ARMNN_AUTO_TEST_CASE(Neg2d, Neg2dTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(Neg3d, Neg3dTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(NegZero, NegZeroTest<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(NegNegative, NegNegativeTest<DataType::Float32>)
+
 #if defined(ARMNNREF_ENABLED)
 
 // The ARMNN_COMPARE_REF_AUTO_TEST_CASE and the ARMNN_COMPARE_REF_FIXTURE_TEST_CASE test units are not available
diff --git a/src/backends/neon/workloads/CMakeLists.txt b/src/backends/neon/workloads/CMakeLists.txt
index a932f8b852..8160710f65 100644
--- a/src/backends/neon/workloads/CMakeLists.txt
+++ b/src/backends/neon/workloads/CMakeLists.txt
@@ -56,6 +56,8 @@ list(APPEND armnnNeonBackendWorkloads_sources
     NeonMultiplicationWorkload.hpp
     NeonDivisionWorkload.cpp
     NeonDivisionWorkload.hpp
+    NeonNegWorkload.cpp
+    NeonNegWorkload.hpp
     NeonNormalizationFloatWorkload.cpp
     NeonNormalizationFloatWorkload.hpp
     NeonPadWorkload.cpp
diff --git a/src/backends/neon/workloads/NeonNegWorkload.cpp b/src/backends/neon/workloads/NeonNegWorkload.cpp
new file mode 100644
index 0000000000..afe05583fd
--- /dev/null
+++ b/src/backends/neon/workloads/NeonNegWorkload.cpp
@@ -0,0 +1,43 @@
+//
+// Copyright © 2020 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonNegWorkload.hpp"
+
+#include "NeonWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeTensorHandle.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <boost/cast.hpp>
+
+namespace armnn
+{
+
+arm_compute::Status NeonNegWorkloadValidate(const TensorInfo& input, const TensorInfo& output)
+{
+    const arm_compute::TensorInfo aclInput  = armcomputetensorutils::BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
+
+    return arm_compute::NENegLayer::validate(&aclInput, &aclOutput);
+}
+
+NeonNegWorkload::NeonNegWorkload(const ElementwiseUnaryQueueDescriptor& descriptor, const WorkloadInfo& info)
+    : BaseWorkload<ElementwiseUnaryQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonNegWorkload", 1, 1);
+
+    arm_compute::ITensor& input  = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    m_NegLayer.configure(&input, &output);
+}
+
+void NeonNegWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonNegWorkload_Execute");
+    m_NegLayer.run();
+}
+
+} // namespace armnn
diff --git a/src/backends/neon/workloads/NeonNegWorkload.hpp b/src/backends/neon/workloads/NeonNegWorkload.hpp
new file mode 100644
index 0000000000..7b2ed17a3e
--- /dev/null
+++ b/src/backends/neon/workloads/NeonNegWorkload.hpp
@@ -0,0 +1,28 @@
+//
+// Copyright © 2020 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <backendsCommon/Workload.hpp>
+
+#include <arm_compute/core/Error.h>
+#include <arm_compute/runtime/NEON/functions/NEElementwiseUnaryLayer.h>
+
+namespace armnn
+{
+
+arm_compute::Status NeonNegWorkloadValidate(const TensorInfo& input, const TensorInfo& output);
+
+class NeonNegWorkload : public BaseWorkload<ElementwiseUnaryQueueDescriptor>
+{
+public:
+    NeonNegWorkload(const ElementwiseUnaryQueueDescriptor& descriptor, const WorkloadInfo& info);
+    virtual void Execute() const override;
+
+private:
+    mutable arm_compute::NENegLayer m_NegLayer;
+};
+
+} // namespace armnn
diff --git a/src/backends/neon/workloads/NeonWorkloads.hpp b/src/backends/neon/workloads/NeonWorkloads.hpp
index 52cd76f14b..e28d120de7 100644
--- a/src/backends/neon/workloads/NeonWorkloads.hpp
+++ b/src/backends/neon/workloads/NeonWorkloads.hpp
@@ -31,6 +31,7 @@
 #include "NeonConcatWorkload.hpp"
 #include "NeonMinimumWorkload.hpp"
 #include "NeonMultiplicationWorkload.hpp"
+#include "NeonNegWorkload.hpp"
 #include "NeonNormalizationFloatWorkload.hpp"
 #include "NeonPadWorkload.hpp"
 #include "NeonPermuteWorkload.hpp"