IVGCVSW-5093 Add NEON Logical workload

* Add NEON Logical workloads for NOT,
  AND and OR.
* Enable Layer and IsSupported tests on NEON.

Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: Ibca59530457a664ca3d77751825642f8daf52fab

16 files changed, 437 insertions, 14 deletions

diff --git a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
index 7c7ad5f159..1492a8092f 100644
--- a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
+++ b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
@@ -907,6 +907,70 @@ bool IsConvertLayerSupportedTests(std::string& reasonIfUnsupported)
 }
 
 template<typename FactoryType, armnn::DataType InputDataType , armnn::DataType OutputDataType>
+bool IsLogicalBinaryLayerSupportedTests(std::string& reasonIfUnsupported)
+{
+    armnn::Graph graph;
+    armnn::LogicalBinaryDescriptor desc(armnn::LogicalBinaryOperation::LogicalOr);
+
+    armnn::Layer* const input0 = graph.AddLayer<armnn::InputLayer>(0, "input0");
+    armnn::Layer* const input1 = graph.AddLayer<armnn::InputLayer>(1, "input1");
+
+    armnn::Layer* const layer = graph.AddLayer<armnn::LogicalBinaryLayer>(desc, "logicalOrLayer");
+
+    armnn::Layer* const output = graph.AddLayer<armnn::OutputLayer>(0, "output1");
+
+    armnn::TensorInfo inputTensorInfo0({1, 1, 1, 4}, InputDataType);
+    armnn::TensorInfo inputTensorInfo1({1, 1, 1, 4}, InputDataType);
+
+    armnn::TensorInfo outputTensorInfo({1, 1, 1, 4}, OutputDataType);
+
+    input0->GetOutputSlot(0).Connect(layer->GetInputSlot(0));
+    input1->GetOutputSlot(0).Connect(layer->GetInputSlot(1));
+
+    input0->GetOutputHandler(0).SetTensorInfo(inputTensorInfo0);
+    input1->GetOutputHandler(0).SetTensorInfo(inputTensorInfo1);
+
+    layer->GetOutputSlot(0).Connect(output->GetInputSlot(0));
+    layer->GetOutputHandler(0).SetTensorInfo(outputTensorInfo);
+
+    bool result = FactoryType::IsLayerSupported(*layer, InputDataType, reasonIfUnsupported);
+
+    return result;
+}
+
+template<typename FactoryType, armnn::DataType InputDataType , armnn::DataType OutputDataType>
+bool IsLogicalBinaryLayerBroadcastSupportedTests(std::string& reasonIfUnsupported)
+{
+    armnn::Graph graph;
+    armnn::LogicalBinaryDescriptor desc(armnn::LogicalBinaryOperation::LogicalAnd);
+
+    armnn::Layer* const input0 = graph.AddLayer<armnn::InputLayer>(0, "input0");
+    armnn::Layer* const input1 = graph.AddLayer<armnn::InputLayer>(1, "input1");
+
+    armnn::Layer* const layer = graph.AddLayer<armnn::LogicalBinaryLayer>(desc, "logicalAndLayer");
+
+    armnn::Layer* const output = graph.AddLayer<armnn::OutputLayer>(0, "output2");
+
+    armnn::TensorInfo inputTensorInfo0({1, 1, 1, 4}, InputDataType);
+    armnn::TensorInfo inputTensorInfo1({1, 1, 1, 1}, InputDataType);
+
+    armnn::TensorInfo outputTensorInfo({1, 1, 1, 4}, OutputDataType);
+
+    input0->GetOutputSlot(0).Connect(layer->GetInputSlot(0));
+    input1->GetOutputSlot(0).Connect(layer->GetInputSlot(1));
+
+    input0->GetOutputHandler(0).SetTensorInfo(inputTensorInfo0);
+    input1->GetOutputHandler(0).SetTensorInfo(inputTensorInfo1);
+
+    layer->GetOutputSlot(0).Connect(output->GetInputSlot(0));
+    layer->GetOutputHandler(0).SetTensorInfo(outputTensorInfo);
+
+    bool result = FactoryType::IsLayerSupported(*layer, InputDataType, reasonIfUnsupported);
+
+    return result;
+}
+
+template<typename FactoryType, armnn::DataType InputDataType , armnn::DataType OutputDataType>
 bool IsMeanLayerSupportedTests(std::string& reasonIfUnsupported)
 {
     armnn::Graph graph;
diff --git a/src/backends/neon/NeonLayerSupport.cpp b/src/backends/neon/NeonLayerSupport.cpp
index f55d1c8df6..2d22576e57 100644
--- a/src/backends/neon/NeonLayerSupport.cpp
+++ b/src/backends/neon/NeonLayerSupport.cpp
@@ -37,6 +37,9 @@
 #include "workloads/NeonInstanceNormalizationWorkload.hpp"
 #include "workloads/NeonL2NormalizationFloatWorkload.hpp"
 #include "workloads/NeonLogSoftmaxWorkload.hpp"
+#include "workloads/NeonLogicalAndWorkload.hpp"
+#include "workloads/NeonLogicalNotWorkload.hpp"
+#include "workloads/NeonLogicalOrWorkload.hpp"
 #include "workloads/NeonLstmFloatWorkload.hpp"
 #include "workloads/NeonMaximumWorkload.hpp"
 #include "workloads/NeonMeanWorkload.hpp"
@@ -434,6 +437,11 @@ bool NeonLayerSupport::IsElementwiseUnarySupported(const TensorInfo& input,
                                            reasonIfUnsupported,
                                            input,
                                            output);
+        case UnaryOperation::LogicalNot:
+            FORWARD_WORKLOAD_VALIDATE_FUNC(NeonLogicalNotWorkloadValidate,
+                                           reasonIfUnsupported,
+                                           input,
+                                           output);
         default:
             return false;
     }
@@ -532,6 +540,31 @@ bool NeonLayerSupport::IsL2NormalizationSupported(const TensorInfo& input,
     FORWARD_WORKLOAD_VALIDATE_FUNC(NeonL2NormalizationWorkloadValidate, reasonIfUnsupported, input, output, descriptor);
 }
 
+bool NeonLayerSupport::IsLogicalBinarySupported(const TensorInfo& input0,
+                                                const TensorInfo& input1,
+                                                const TensorInfo& output,
+                                                const LogicalBinaryDescriptor& descriptor,
+                                                Optional<std::string&> reasonIfUnsupported) const
+{
+    switch(descriptor.m_Operation)
+    {
+        case LogicalBinaryOperation::LogicalAnd:
+            FORWARD_WORKLOAD_VALIDATE_FUNC(NeonLogicalAndWorkloadValidate,
+                                           reasonIfUnsupported,
+                                           input0,
+                                           input1,
+                                           output);
+        case LogicalBinaryOperation::LogicalOr:
+            FORWARD_WORKLOAD_VALIDATE_FUNC(NeonLogicalOrWorkloadValidate,
+                                           reasonIfUnsupported,
+                                           input0,
+                                           input1,
+                                           output);
+        default:
+            return false;
+    }
+}
+
 bool NeonLayerSupport::IsLogSoftmaxSupported(const TensorInfo& input,
                                              const TensorInfo& output,
                                              const LogSoftmaxDescriptor& descriptor,
diff --git a/src/backends/neon/NeonLayerSupport.hpp b/src/backends/neon/NeonLayerSupport.hpp
index d477dcdd7c..dc13cc2e4e 100644
--- a/src/backends/neon/NeonLayerSupport.hpp
+++ b/src/backends/neon/NeonLayerSupport.hpp
@@ -160,6 +160,12 @@ public:
                                     const L2NormalizationDescriptor& descriptor,
                                     Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
+    bool IsLogicalBinarySupported(const TensorInfo& input0,
+                                  const TensorInfo& input1,
+                                  const TensorInfo& output,
+                                  const LogicalBinaryDescriptor& descriptor,
+                                  Optional<std::string&> reasonIfUnsupported) const override;
+
     bool IsLogSoftmaxSupported(const TensorInfo& input,
                                const TensorInfo& output,
                                const LogSoftmaxDescriptor& descriptor,
diff --git a/src/backends/neon/NeonWorkloadFactory.cpp b/src/backends/neon/NeonWorkloadFactory.cpp
index 709dd93e9b..3077ae0a8c 100644
--- a/src/backends/neon/NeonWorkloadFactory.cpp
+++ b/src/backends/neon/NeonWorkloadFactory.cpp
@@ -260,25 +260,27 @@ std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateElementwiseUnary(
     switch(descriptor.m_Parameters.m_Operation)
     {
         case UnaryOperation::Abs:
-            {
-                AbsQueueDescriptor absQueueDescriptor;
-                absQueueDescriptor.m_Inputs  = descriptor.m_Inputs;
-                absQueueDescriptor.m_Outputs = descriptor.m_Outputs;
+        {
+            AbsQueueDescriptor absQueueDescriptor;
+            absQueueDescriptor.m_Inputs  = descriptor.m_Inputs;
+            absQueueDescriptor.m_Outputs = descriptor.m_Outputs;
 
-                return std::make_unique<NeonAbsWorkload>(absQueueDescriptor, info);
-            }
+            return std::make_unique<NeonAbsWorkload>(absQueueDescriptor, info);
+        }
         case UnaryOperation::Rsqrt:
-            {
-                RsqrtQueueDescriptor rsqrtQueueDescriptor;
-                rsqrtQueueDescriptor.m_Inputs  = descriptor.m_Inputs;
-                rsqrtQueueDescriptor.m_Outputs = descriptor.m_Outputs;
+        {
+            RsqrtQueueDescriptor rsqrtQueueDescriptor;
+            rsqrtQueueDescriptor.m_Inputs  = descriptor.m_Inputs;
+            rsqrtQueueDescriptor.m_Outputs = descriptor.m_Outputs;
 
-                return std::make_unique<NeonRsqrtWorkload>(rsqrtQueueDescriptor, info);
-            }
+            return std::make_unique<NeonRsqrtWorkload>(rsqrtQueueDescriptor, info);
+        }
         case UnaryOperation::Neg:
             return std::make_unique<NeonNegWorkload>(descriptor, info);
         case UnaryOperation::Exp:
             return std::make_unique<NeonExpWorkload>(descriptor, info);
+        case UnaryOperation::LogicalNot:
+            return std::make_unique<NeonLogicalNotWorkload>(descriptor, info);
         default:
             return nullptr;
     }
@@ -356,6 +358,32 @@ std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateLogSoftmax(const LogSoftma
     return std::make_unique<NeonLogSoftmaxWorkload>(descriptor, info, m_MemoryManager->GetIntraLayerManager());
 }
 
+std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateLogicalBinary(const LogicalBinaryQueueDescriptor& descriptor,
+                                                                    const WorkloadInfo& info) const
+{
+    switch(descriptor.m_Parameters.m_Operation)
+    {
+        case LogicalBinaryOperation::LogicalAnd:
+            return std::make_unique<NeonLogicalAndWorkload>(descriptor, info);
+        case LogicalBinaryOperation::LogicalOr:
+            return std::make_unique<NeonLogicalOrWorkload>(descriptor, info);
+        default:
+            return nullptr;
+    }
+}
+
+std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateLogicalUnary(const ElementwiseUnaryQueueDescriptor& descriptor,
+                                                                   const WorkloadInfo& info) const
+{
+    switch(descriptor.m_Parameters.m_Operation)
+    {
+        case UnaryOperation::LogicalNot:
+            return std::make_unique<NeonLogicalNotWorkload>(descriptor, info);
+        default:
+            return nullptr;
+    }
+}
+
 std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateLstm(const LstmQueueDescriptor& descriptor,
                                                            const WorkloadInfo& info) const
 {
diff --git a/src/backends/neon/NeonWorkloadFactory.hpp b/src/backends/neon/NeonWorkloadFactory.hpp
index 6a514e2812..f98a7f9f1d 100644
--- a/src/backends/neon/NeonWorkloadFactory.hpp
+++ b/src/backends/neon/NeonWorkloadFactory.hpp
@@ -143,6 +143,12 @@ public:
     std::unique_ptr<IWorkload> CreateL2Normalization(const L2NormalizationQueueDescriptor& descriptor,
                                                      const WorkloadInfo& info) const override;
 
+    std::unique_ptr<IWorkload> CreateLogicalBinary(const LogicalBinaryQueueDescriptor& descriptor,
+                                                   const WorkloadInfo& info) const override;
+
+    std::unique_ptr<IWorkload> CreateLogicalUnary(const ElementwiseUnaryQueueDescriptor& descriptor,
+                                                  const WorkloadInfo& info) const override;
+
     std::unique_ptr<IWorkload> CreateLogSoftmax(const LogSoftmaxQueueDescriptor& descriptor,
                                                 const WorkloadInfo& info) const override;
 
diff --git a/src/backends/neon/backend.mk b/src/backends/neon/backend.mk
index 9bd08a1033..54560cb0fa 100644
--- a/src/backends/neon/backend.mk
+++ b/src/backends/neon/backend.mk
@@ -47,6 +47,9 @@ BACKEND_SOURCES := \
         workloads/NeonGatherWorkload.cpp \
         workloads/NeonInstanceNormalizationWorkload.cpp \
         workloads/NeonL2NormalizationFloatWorkload.cpp \
+        workloads/NeonLogicalAndWorkload.cpp \
+        workloads/NeonLogicalNotWorkload.cpp \
+        workloads/NeonLogicalOrWorkload.cpp \
         workloads/NeonLogSoftmaxWorkload.cpp \
         workloads/NeonLstmFloatWorkload.cpp \
         workloads/NeonMaximumWorkload.cpp \
diff --git a/src/backends/neon/test/NeonLayerSupportTests.cpp b/src/backends/neon/test/NeonLayerSupportTests.cpp
index 3b086ad28f..a14122f573 100644
--- a/src/backends/neon/test/NeonLayerSupportTests.cpp
+++ b/src/backends/neon/test/NeonLayerSupportTests.cpp
@@ -75,6 +75,26 @@ BOOST_AUTO_TEST_CASE(IsConvertFp32ToFp16SupportedNeon)
     BOOST_CHECK(result);
 }
 
+BOOST_AUTO_TEST_CASE(IsLogicalBinarySupportedNeon)
+{
+    std::string reasonIfUnsupported;
+
+    bool result = IsLogicalBinaryLayerSupportedTests<armnn::NeonWorkloadFactory,
+      armnn::DataType::Boolean, armnn::DataType::Boolean>(reasonIfUnsupported);
+
+    BOOST_CHECK(result);
+}
+
+BOOST_AUTO_TEST_CASE(IsLogicalBinaryBroadcastSupportedNeon)
+{
+    std::string reasonIfUnsupported;
+
+    bool result = IsLogicalBinaryLayerBroadcastSupportedTests<armnn::NeonWorkloadFactory,
+      armnn::DataType::Boolean, armnn::DataType::Boolean>(reasonIfUnsupported);
+
+    BOOST_CHECK(result);
+}
+
 BOOST_AUTO_TEST_CASE(IsMeanSupportedNeon)
 {
     std::string reasonIfUnsupported;
diff --git a/src/backends/neon/test/NeonLayerTests.cpp b/src/backends/neon/test/NeonLayerTests.cpp
index 59f00fc833..8e7742ab55 100644
--- a/src/backends/neon/test/NeonLayerTests.cpp
+++ b/src/backends/neon/test/NeonLayerTests.cpp
@@ -1323,6 +1323,22 @@ ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleFill, SimpleFillTest<DataType::Float32>)
 ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleFillF16, SimpleFillTest<DataType::Float16>)
 ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleFillS32, SimpleFillTest<DataType::Signed32>)
 
+// Logical
+ARMNN_AUTO_TEST_CASE_WITH_THF(LogicalNot, LogicalNotTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(LogicalNotInt, LogicalNotIntTest)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(LogicalAnd, LogicalAndTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(LogicalAndInt, LogicalAndIntTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(LogicalAndBroadcast1, LogicalAndBroadcast1Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(LogicalAndBroadcast2, LogicalAndBroadcast2Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(LogicalAndBroadcast3, LogicalAndBroadcast3Test)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(LogicalOr, LogicalOrTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(LogicalOrInt, LogicalOrIntTest)
+ARMNN_AUTO_TEST_CASE_WITH_THF(LogicalOrBroadcast1, LogicalOrBroadcast1Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(LogicalOrBroadcast2, LogicalOrBroadcast2Test)
+ARMNN_AUTO_TEST_CASE_WITH_THF(LogicalOrBroadcast3, LogicalOrBroadcast3Test)
+
 #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 ca9497e393..b03db99989 100644
--- a/src/backends/neon/workloads/CMakeLists.txt
+++ b/src/backends/neon/workloads/CMakeLists.txt
@@ -54,10 +54,16 @@ list(APPEND armnnNeonBackendWorkloads_sources
     NeonInstanceNormalizationWorkload.hpp
     NeonL2NormalizationFloatWorkload.cpp
     NeonL2NormalizationFloatWorkload.hpp
-    NeonLstmFloatWorkload.cpp
-    NeonLstmFloatWorkload.hpp
+    NeonLogicalAndWorkload.cpp
+    NeonLogicalAndWorkload.hpp
+    NeonLogicalNotWorkload.cpp
+    NeonLogicalNotWorkload.hpp
+    NeonLogicalOrWorkload.cpp
+    NeonLogicalOrWorkload.hpp
     NeonLogSoftmaxWorkload.cpp
     NeonLogSoftmaxWorkload.hpp
+    NeonLstmFloatWorkload.cpp
+    NeonLstmFloatWorkload.hpp
     NeonMaximumWorkload.cpp
     NeonMaximumWorkload.hpp
     NeonMeanWorkload.cpp
diff --git a/src/backends/neon/workloads/NeonLogicalAndWorkload.cpp b/src/backends/neon/workloads/NeonLogicalAndWorkload.cpp
new file mode 100644
index 0000000000..d85e05cfe8
--- /dev/null
+++ b/src/backends/neon/workloads/NeonLogicalAndWorkload.cpp
@@ -0,0 +1,51 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonLogicalAndWorkload.hpp"
+
+#include "NeonWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeTensorHandle.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <armnn/utility/PolymorphicDowncast.hpp>
+
+namespace armnn
+{
+
+arm_compute::Status NeonLogicalAndWorkloadValidate(const TensorInfo& input0,
+                                                   const TensorInfo& input1,
+                                                   const TensorInfo& output)
+{
+    const arm_compute::TensorInfo aclInputInfo0 = BuildArmComputeTensorInfo(input0);
+    const arm_compute::TensorInfo aclInputInfo1 = BuildArmComputeTensorInfo(input1);
+    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
+
+    const arm_compute::Status aclStatus = arm_compute::NELogicalAnd::validate(&aclInputInfo0,
+                                                                              &aclInputInfo1,
+                                                                              &aclOutputInfo);
+    return aclStatus;
+}
+
+NeonLogicalAndWorkload::NeonLogicalAndWorkload(const LogicalBinaryQueueDescriptor& descriptor,
+                                               const WorkloadInfo& info)
+    : BaseWorkload<LogicalBinaryQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonLogicalAndWorkload", 2, 1);
+
+    arm_compute::ITensor& input0 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& input1 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
+    arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    m_LogicalAndLayer.configure(&input0, &input1, &output);
+}
+
+void NeonLogicalAndWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonLogicalAndWorkload_Execute");
+    m_LogicalAndLayer.run();
+}
+
+} // namespace armnn
diff --git a/src/backends/neon/workloads/NeonLogicalAndWorkload.hpp b/src/backends/neon/workloads/NeonLogicalAndWorkload.hpp
new file mode 100644
index 0000000000..1daadab9bb
--- /dev/null
+++ b/src/backends/neon/workloads/NeonLogicalAndWorkload.hpp
@@ -0,0 +1,30 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. 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/NELogical.h>
+
+namespace armnn
+{
+
+arm_compute::Status NeonLogicalAndWorkloadValidate(const TensorInfo& input0,
+                                                   const TensorInfo& input1,
+                                                   const TensorInfo& output);
+
+class NeonLogicalAndWorkload : public BaseWorkload<LogicalBinaryQueueDescriptor>
+{
+public:
+    NeonLogicalAndWorkload(const LogicalBinaryQueueDescriptor& descriptor, const WorkloadInfo& info);
+    virtual void Execute() const override;
+
+private:
+    mutable arm_compute::NELogicalAnd m_LogicalAndLayer;
+};
+
+} //namespace armnn
diff --git a/src/backends/neon/workloads/NeonLogicalNotWorkload.cpp b/src/backends/neon/workloads/NeonLogicalNotWorkload.cpp
new file mode 100644
index 0000000000..cff5eaf2ba
--- /dev/null
+++ b/src/backends/neon/workloads/NeonLogicalNotWorkload.cpp
@@ -0,0 +1,48 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonLogicalNotWorkload.hpp"
+
+#include "NeonWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeTensorHandle.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <armnn/utility/PolymorphicDowncast.hpp>
+
+
+namespace armnn
+{
+
+arm_compute::Status NeonLogicalNotWorkloadValidate(const TensorInfo& input,
+                                                   const TensorInfo& output)
+{
+    const arm_compute::TensorInfo aclInputInfo  = BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
+
+    const arm_compute::Status aclStatus = arm_compute::NELogicalNot::validate(&aclInputInfo,
+                                                                              &aclOutputInfo);
+    return aclStatus;
+}
+
+NeonLogicalNotWorkload::NeonLogicalNotWorkload(const ElementwiseUnaryQueueDescriptor& descriptor,
+                                               const WorkloadInfo& info)
+    : BaseWorkload<ElementwiseUnaryQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonLogicalNotWorkload", 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();
+
+    m_LogicalNotLayer.configure(&input, &output);
+}
+
+void NeonLogicalNotWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonLogicalNotWorkload_Execute");
+    m_LogicalNotLayer.run();
+}
+
+} // namespace armnn
diff --git a/src/backends/neon/workloads/NeonLogicalNotWorkload.hpp b/src/backends/neon/workloads/NeonLogicalNotWorkload.hpp
new file mode 100644
index 0000000000..31420f7e9b
--- /dev/null
+++ b/src/backends/neon/workloads/NeonLogicalNotWorkload.hpp
@@ -0,0 +1,28 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. 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/NELogical.h>
+
+namespace armnn
+{
+
+arm_compute::Status NeonLogicalNotWorkloadValidate(const TensorInfo& input, const TensorInfo& output);
+
+class NeonLogicalNotWorkload : public BaseWorkload<ElementwiseUnaryQueueDescriptor>
+{
+public:
+    NeonLogicalNotWorkload(const ElementwiseUnaryQueueDescriptor& descriptor, const WorkloadInfo& info);
+    virtual void Execute() const override;
+
+private:
+    mutable arm_compute::NELogicalNot m_LogicalNotLayer;
+};
+
+} //namespace armnn
diff --git a/src/backends/neon/workloads/NeonLogicalOrWorkload.cpp b/src/backends/neon/workloads/NeonLogicalOrWorkload.cpp
new file mode 100644
index 0000000000..c3f21e149d
--- /dev/null
+++ b/src/backends/neon/workloads/NeonLogicalOrWorkload.cpp
@@ -0,0 +1,51 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonLogicalOrWorkload.hpp"
+
+#include "NeonWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeTensorHandle.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <armnn/utility/PolymorphicDowncast.hpp>
+
+namespace armnn
+{
+
+arm_compute::Status NeonLogicalOrWorkloadValidate(const TensorInfo& input0,
+                                                  const TensorInfo& input1,
+                                                  const TensorInfo& output)
+{
+    const arm_compute::TensorInfo aclInputInfo0 = BuildArmComputeTensorInfo(input0);
+    const arm_compute::TensorInfo aclInputInfo1 = BuildArmComputeTensorInfo(input1);
+    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
+
+    const arm_compute::Status aclStatus = arm_compute::NELogicalOr::validate(&aclInputInfo0,
+                                                                             &aclInputInfo1,
+                                                                             &aclOutputInfo);
+    return aclStatus;
+}
+
+NeonLogicalOrWorkload::NeonLogicalOrWorkload(const LogicalBinaryQueueDescriptor& descriptor,
+                                               const WorkloadInfo& info)
+    : BaseWorkload<LogicalBinaryQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonLogicalOrWorkload", 2, 1);
+
+    arm_compute::ITensor& input0 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& input1 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
+    arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    m_LogicalOrLayer.configure(&input0, &input1, &output);
+}
+
+void NeonLogicalOrWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonLogicalOrWorkload_Execute");
+    m_LogicalOrLayer.run();
+}
+
+} // namespace armnn
diff --git a/src/backends/neon/workloads/NeonLogicalOrWorkload.hpp b/src/backends/neon/workloads/NeonLogicalOrWorkload.hpp
new file mode 100644
index 0000000000..3b4ddb2d86
--- /dev/null
+++ b/src/backends/neon/workloads/NeonLogicalOrWorkload.hpp
@@ -0,0 +1,30 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. 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/NELogical.h>
+
+namespace armnn
+{
+
+arm_compute::Status NeonLogicalOrWorkloadValidate(const TensorInfo& input0,
+                                                  const TensorInfo& input1,
+                                                  const TensorInfo& output);
+
+class NeonLogicalOrWorkload : public BaseWorkload<LogicalBinaryQueueDescriptor>
+{
+public:
+    NeonLogicalOrWorkload(const LogicalBinaryQueueDescriptor& descriptor, const WorkloadInfo& info);
+    virtual void Execute() const override;
+
+private:
+    mutable arm_compute::NELogicalOr m_LogicalOrLayer;
+};
+
+} //namespace armnn
diff --git a/src/backends/neon/workloads/NeonWorkloads.hpp b/src/backends/neon/workloads/NeonWorkloads.hpp
index 590b6f7a29..1a17b9aea9 100644
--- a/src/backends/neon/workloads/NeonWorkloads.hpp
+++ b/src/backends/neon/workloads/NeonWorkloads.hpp
@@ -30,6 +30,9 @@
 #include "NeonGatherWorkload.hpp"
 #include "NeonInstanceNormalizationWorkload.hpp"
 #include "NeonL2NormalizationFloatWorkload.hpp"
+#include "NeonLogicalAndWorkload.hpp"
+#include "NeonLogicalNotWorkload.hpp"
+#include "NeonLogicalOrWorkload.hpp"
 #include "NeonLogSoftmaxWorkload.hpp"
 #include "NeonLstmFloatWorkload.hpp"
 #include "NeonMaximumWorkload.hpp"