IVGCVSW-3342 Add CL backend support for Quantized_LSTM (16bit cell state)

!android-nn-driver:1685

Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com>
Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>
Change-Id: I17278562f72d4b77e22c3af25bf7199b9150a765

13 files changed, 320 insertions, 50 deletions

diff --git a/src/armnn/test/CreateWorkload.hpp b/src/armnn/test/CreateWorkload.hpp
index 3ec7e8e673..b576f12c22 100644
--- a/src/armnn/test/CreateWorkload.hpp
+++ b/src/armnn/test/CreateWorkload.hpp
@@ -351,7 +351,6 @@ template <typename QuantizedLstmWorkload>
 std::unique_ptr<QuantizedLstmWorkload> CreateQuantizedLstmWorkloadTest(armnn::IWorkloadFactory& factory,
                                                                        armnn::Graph& graph)
 {
-
     auto layer = graph.AddLayer<QuantizedLstmLayer>("quantizedLstmlayer");
     unsigned int numBatches = 2;
     unsigned int inputSize = 2;
diff --git a/src/backends/backendsCommon/WorkloadFactory.cpp b/src/backends/backendsCommon/WorkloadFactory.cpp
index dca5778e0e..1f616f0b18 100644
--- a/src/backends/backendsCommon/WorkloadFactory.cpp
+++ b/src/backends/backendsCommon/WorkloadFactory.cpp
@@ -639,61 +639,43 @@ bool IWorkloadFactory::IsLayerSupported(const BackendId& backendId,
             auto cLayer = boost::polymorphic_downcast<const QuantizedLstmLayer*>(&layer);
 
             // Inputs
-            const TensorInfo& input = OverrideDataType(
-                    layer.GetInputSlot(0).GetConnection()->GetTensorInfo(), dataType);
-            const TensorInfo& previousCellStateIn = OverrideDataType(
-                    layer.GetInputSlot(1).GetConnection()->GetTensorInfo(), dataType);
-            const TensorInfo& previousOutputIn = OverrideDataType(
-                    layer.GetInputSlot(2).GetConnection()->GetTensorInfo(), dataType);
+            const TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();
+            const TensorInfo& previousCellStateIn = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();
+            const TensorInfo& previousOutputIn = layer.GetInputSlot(2).GetConnection()->GetTensorInfo();
 
             // Outputs
-            const TensorInfo& cellStateOut = OverrideDataType(layer.GetOutputSlot(0).GetTensorInfo(), dataType);
-            const TensorInfo& output = OverrideDataType(layer.GetOutputSlot(1).GetTensorInfo(), dataType);
+            const TensorInfo& cellStateOut = layer.GetOutputSlot(0).GetTensorInfo();
+            const TensorInfo& output = layer.GetOutputSlot(1).GetTensorInfo();
 
             // QuantizedLstm parameters
-            const TensorInfo& inputToInputWeights = OverrideDataType(
-                    cLayer->m_QuantizedLstmParameters.m_InputToInputWeights->GetTensorInfo(), dataType);
-            const TensorInfo& inputToForgetWeights = OverrideDataType(
-                    cLayer->m_QuantizedLstmParameters.m_InputToForgetWeights->GetTensorInfo(), dataType);
-            const TensorInfo& inputToCellWeights = OverrideDataType(
-                    cLayer->m_QuantizedLstmParameters.m_InputToCellWeights->GetTensorInfo(), dataType);
-            const TensorInfo& inputToOutputWeights = OverrideDataType(
-                    cLayer->m_QuantizedLstmParameters.m_InputToOutputWeights->GetTensorInfo(), dataType);
-
-            const TensorInfo& recurrentToInputWeights = OverrideDataType(
-                    cLayer->m_QuantizedLstmParameters.m_RecurrentToInputWeights->GetTensorInfo(), dataType);
-            const TensorInfo& recurrentToForgetWeights = OverrideDataType(
-                    cLayer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights->GetTensorInfo(), dataType);
-            const TensorInfo& recurrentToCellWeights = OverrideDataType(
-                    cLayer->m_QuantizedLstmParameters.m_RecurrentToCellWeights->GetTensorInfo(), dataType);
-            const TensorInfo& recurrentToOutputWeights = OverrideDataType(
-                    cLayer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights->GetTensorInfo(), dataType);
-
-            const TensorInfo& inputGateBias = OverrideDataType(
-                    cLayer->m_QuantizedLstmParameters.m_InputGateBias->GetTensorInfo(), dataType);
-            const TensorInfo& forgetGateBias = OverrideDataType(
-                    cLayer->m_QuantizedLstmParameters.m_ForgetGateBias->GetTensorInfo(), dataType);
-            const TensorInfo& cellBias = OverrideDataType(
-                    cLayer->m_QuantizedLstmParameters.m_CellBias->GetTensorInfo(), dataType);
-            const TensorInfo& outputGateBias = OverrideDataType(
-                    cLayer->m_QuantizedLstmParameters.m_OutputGateBias->GetTensorInfo(), dataType);
-
             QuantizedLstmInputParamsInfo paramsInfo;
 
-            paramsInfo.m_InputToInputWeights      = &inputToInputWeights;
-            paramsInfo.m_InputToForgetWeights     = &inputToForgetWeights;
-            paramsInfo.m_InputToCellWeights       = &inputToCellWeights;
-            paramsInfo.m_InputToOutputWeights     = &inputToOutputWeights;
-
-            paramsInfo.m_RecurrentToInputWeights  = &recurrentToInputWeights;
-            paramsInfo.m_RecurrentToForgetWeights = &recurrentToForgetWeights;
-            paramsInfo.m_RecurrentToCellWeights   = &recurrentToCellWeights;
-            paramsInfo.m_RecurrentToOutputWeights = &recurrentToOutputWeights;
-
-            paramsInfo.m_InputGateBias            = &inputGateBias;
-            paramsInfo.m_ForgetGateBias           = &forgetGateBias;
-            paramsInfo.m_CellBias                 = &cellBias;
-            paramsInfo.m_OutputGateBias           = &outputGateBias;
+            paramsInfo.m_InputToInputWeights      =
+                    &cLayer->m_QuantizedLstmParameters.m_InputToInputWeights->GetTensorInfo();
+            paramsInfo.m_InputToForgetWeights     =
+                    &cLayer->m_QuantizedLstmParameters.m_InputToForgetWeights->GetTensorInfo();
+            paramsInfo.m_InputToCellWeights       =
+                    &cLayer->m_QuantizedLstmParameters.m_InputToCellWeights->GetTensorInfo();
+            paramsInfo.m_InputToOutputWeights     =
+                    &cLayer->m_QuantizedLstmParameters.m_InputToOutputWeights->GetTensorInfo();
+
+            paramsInfo.m_RecurrentToInputWeights  =
+                    &cLayer->m_QuantizedLstmParameters.m_RecurrentToInputWeights->GetTensorInfo();
+            paramsInfo.m_RecurrentToForgetWeights =
+                    &cLayer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights->GetTensorInfo();
+            paramsInfo.m_RecurrentToCellWeights   =
+                    &cLayer->m_QuantizedLstmParameters.m_RecurrentToCellWeights->GetTensorInfo();
+            paramsInfo.m_RecurrentToOutputWeights =
+                    &cLayer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights->GetTensorInfo();
+
+            paramsInfo.m_InputGateBias            =
+                    &cLayer->m_QuantizedLstmParameters.m_InputGateBias->GetTensorInfo();
+            paramsInfo.m_ForgetGateBias           =
+                    &cLayer->m_QuantizedLstmParameters.m_ForgetGateBias->GetTensorInfo();
+            paramsInfo.m_CellBias                 =
+                    &cLayer->m_QuantizedLstmParameters.m_CellBias->GetTensorInfo();
+            paramsInfo.m_OutputGateBias           =
+                    &cLayer->m_QuantizedLstmParameters.m_OutputGateBias->GetTensorInfo();;
 
             result = layerSupportObject->IsQuantizedLstmSupported(input,
                                                                   previousCellStateIn,
diff --git a/src/backends/cl/ClLayerSupport.cpp b/src/backends/cl/ClLayerSupport.cpp
index 05539623a5..4ea6f2db3a 100644
--- a/src/backends/cl/ClLayerSupport.cpp
+++ b/src/backends/cl/ClLayerSupport.cpp
@@ -41,6 +41,7 @@
 #include "workloads/ClPooling2dWorkload.hpp"
 #include "workloads/ClPreluWorkload.hpp"
 #include "workloads/ClResizeWorkload.hpp"
+#include "workloads/ClQuantizedLstmWorkload.hpp"
 #include "workloads/ClQuantizeWorkload.hpp"
 #include "workloads/ClSoftmaxBaseWorkload.hpp"
 #include "workloads/ClSpaceToBatchNdWorkload.hpp"
@@ -547,6 +548,24 @@ bool ClLayerSupport::IsPreluSupported(const armnn::TensorInfo &input,
     FORWARD_WORKLOAD_VALIDATE_FUNC(ClPreluWorkloadValidate, reasonIfUnsupported, input, alpha, output);
 }
 
+bool ClLayerSupport::IsQuantizedLstmSupported(const TensorInfo& input,
+                                              const TensorInfo& previousCellStateIn,
+                                              const TensorInfo& previousOutputIn,
+                                              const TensorInfo& cellStateOut,
+                                              const TensorInfo& output,
+                                              const QuantizedLstmInputParamsInfo& paramsInfo,
+                                              Optional<std::string&> reasonIfUnsupported) const
+{
+    FORWARD_WORKLOAD_VALIDATE_FUNC(ClQuantizedLstmWorkloadValidate,
+                                   reasonIfUnsupported,
+                                   input,
+                                   previousCellStateIn,
+                                   previousOutputIn,
+                                   cellStateOut,
+                                   output,
+                                   paramsInfo);
+}
+
 bool ClLayerSupport::IsQuantizeSupported(const TensorInfo& input,
                                          const TensorInfo& output,
                                          Optional<std::string&> reasonIfUnsupported) const
diff --git a/src/backends/cl/ClLayerSupport.hpp b/src/backends/cl/ClLayerSupport.hpp
index 4879e8b4b8..a367085eef 100644
--- a/src/backends/cl/ClLayerSupport.hpp
+++ b/src/backends/cl/ClLayerSupport.hpp
@@ -175,6 +175,14 @@ public:
                           const TensorInfo& output,
                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
+    bool IsQuantizedLstmSupported(const TensorInfo& input,
+                                  const TensorInfo& previousCellStateIn,
+                                  const TensorInfo& previousOutputIn,
+                                  const TensorInfo& cellStateOut,
+                                  const TensorInfo& output,
+                                  const QuantizedLstmInputParamsInfo& paramsInfo,
+                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
     bool IsQuantizeSupported(const TensorInfo& input,
                              const TensorInfo& output,
                              Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
diff --git a/src/backends/cl/ClWorkloadFactory.cpp b/src/backends/cl/ClWorkloadFactory.cpp
index 4a593aac63..d72fa92a30 100644
--- a/src/backends/cl/ClWorkloadFactory.cpp
+++ b/src/backends/cl/ClWorkloadFactory.cpp
@@ -433,6 +433,12 @@ std::unique_ptr<IWorkload> ClWorkloadFactory::CreateSpaceToDepth(const SpaceToDe
     return MakeWorkload<ClSpaceToDepthWorkload>(descriptor, info);
 }
 
+std::unique_ptr<IWorkload> ClWorkloadFactory::CreateQuantizedLstm(const QuantizedLstmQueueDescriptor& descriptor,
+                                                                  const WorkloadInfo& info) const
+{
+    return MakeWorkload<ClQuantizedLstmWorkload>(descriptor, info);
+}
+
 std::unique_ptr<IWorkload> ClWorkloadFactory::CreateStack(const StackQueueDescriptor& descriptor,
                                                           const WorkloadInfo& info) const
 {
diff --git a/src/backends/cl/ClWorkloadFactory.hpp b/src/backends/cl/ClWorkloadFactory.hpp
index 8586435481..01bfb8db9f 100644
--- a/src/backends/cl/ClWorkloadFactory.hpp
+++ b/src/backends/cl/ClWorkloadFactory.hpp
@@ -182,6 +182,9 @@ public:
     std::unique_ptr<IWorkload> CreateSpaceToDepth(const SpaceToDepthQueueDescriptor& descriptor,
                                                   const WorkloadInfo& info) const override;
 
+    std::unique_ptr<IWorkload> CreateQuantizedLstm(const QuantizedLstmQueueDescriptor& descriptor,
+                                                   const WorkloadInfo& info) const override;
+
     std::unique_ptr<IWorkload> CreateStack(const StackQueueDescriptor& descriptor,
                                            const WorkloadInfo& info) const override;
 
diff --git a/src/backends/cl/backend.mk b/src/backends/cl/backend.mk
index ee6447f340..8c34e62705 100644
--- a/src/backends/cl/backend.mk
+++ b/src/backends/cl/backend.mk
@@ -46,6 +46,7 @@ BACKEND_SOURCES := \
         workloads/ClPermuteWorkload.cpp \
         workloads/ClPooling2dWorkload.cpp \
         workloads/ClPreluWorkload.cpp \
+        workloads/ClQuantizedLstmWorkload.cpp \
         workloads/ClQuantizeWorkload.cpp \
         workloads/ClReshapeWorkload.cpp \
         workloads/ClResizeWorkload.cpp \
diff --git a/src/backends/cl/test/ClCreateWorkloadTests.cpp b/src/backends/cl/test/ClCreateWorkloadTests.cpp
index f453ccc9fd..bb36504214 100644
--- a/src/backends/cl/test/ClCreateWorkloadTests.cpp
+++ b/src/backends/cl/test/ClCreateWorkloadTests.cpp
@@ -9,6 +9,7 @@
 #include <backendsCommon/MemCopyWorkload.hpp>
 
 #include <aclCommon/test/CreateWorkloadClNeon.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
 
 #include <cl/ClTensorHandle.hpp>
 #include <cl/ClWorkloadFactory.hpp>
@@ -974,4 +975,44 @@ BOOST_AUTO_TEST_CASE(CreateStackUint8Workload)
     ClCreateStackWorkloadTest<armnn::DataType::QuantisedAsymm8>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2);
 }
 
+template <typename QuantizedLstmWorkloadType>
+static void ClCreateQuantizedLstmWorkloadTest()
+{
+    using namespace armnn::armcomputetensorutils;
+    using boost::polymorphic_downcast;
+
+    Graph graph;
+    ClWorkloadFactory factory =
+            ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager());
+
+    auto workload = CreateQuantizedLstmWorkloadTest<QuantizedLstmWorkloadType>(factory, graph);
+
+    QuantizedLstmQueueDescriptor queueDescriptor = workload->GetData();
+
+    IAclTensorHandle* inputHandle = polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]);
+    BOOST_TEST((inputHandle->GetShape() == TensorShape({2, 2})));
+    BOOST_TEST((inputHandle->GetDataType() == arm_compute::DataType::QASYMM8));
+
+    IAclTensorHandle* cellStateInHandle = polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Inputs[1]);
+    BOOST_TEST((cellStateInHandle->GetShape() == TensorShape({2, 4})));
+    BOOST_TEST((cellStateInHandle->GetDataType() == arm_compute::DataType::QSYMM16));
+
+    IAclTensorHandle* outputStateInHandle = polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Inputs[2]);
+    BOOST_TEST((outputStateInHandle->GetShape() == TensorShape({2, 4})));
+    BOOST_TEST((outputStateInHandle->GetDataType() == arm_compute::DataType::QASYMM8));
+
+    IAclTensorHandle* cellStateOutHandle = polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]);
+    BOOST_TEST((cellStateOutHandle->GetShape() == TensorShape({2, 4})));
+    BOOST_TEST((cellStateOutHandle->GetDataType() == arm_compute::DataType::QSYMM16));
+
+    IAclTensorHandle* outputStateOutHandle = polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Outputs[1]);
+    BOOST_TEST((outputStateOutHandle->GetShape() == TensorShape({2, 4})));
+    BOOST_TEST((outputStateOutHandle->GetDataType() == arm_compute::DataType::QASYMM8));
+}
+
+BOOST_AUTO_TEST_CASE(CreateQuantizedLstmWorkload)
+{
+    ClCreateQuantizedLstmWorkloadTest<ClQuantizedLstmWorkload>();
+}
+
 BOOST_AUTO_TEST_SUITE_END()
diff --git a/src/backends/cl/test/ClLayerTests.cpp b/src/backends/cl/test/ClLayerTests.cpp
index dd4c16edf4..c9114b9ac4 100644
--- a/src/backends/cl/test/ClLayerTests.cpp
+++ b/src/backends/cl/test/ClLayerTests.cpp
@@ -401,6 +401,8 @@ ARMNN_AUTO_TEST_CASE(LstmLayerFloat32NoCifgWithPeepholeWithProjection,
 ARMNN_AUTO_TEST_CASE(LstmLayerFloat32NoCifgWithPeepholeWithProjectionWithLayerNorm,
                      LstmLayerFloat32NoCifgWithPeepholeWithProjectionWithLayerNormTest)
 
+ARMNN_AUTO_TEST_CASE(QuantizedLstm, QuantizedLstmTest)
+
 // Convert from Float16 to Float32
 ARMNN_AUTO_TEST_CASE(SimpleConvertFp16ToFp32, SimpleConvertFp16ToFp32Test)
 // Convert from Float32 to Float16
diff --git a/src/backends/cl/workloads/CMakeLists.txt b/src/backends/cl/workloads/CMakeLists.txt
index 49a8b177d0..f62600b983 100644
--- a/src/backends/cl/workloads/CMakeLists.txt
+++ b/src/backends/cl/workloads/CMakeLists.txt
@@ -56,6 +56,8 @@ list(APPEND armnnClBackendWorkloads_sources
     ClPooling2dWorkload.hpp
     ClPreluWorkload.cpp
     ClPreluWorkload.hpp
+    ClQuantizedLstmWorkload.cpp
+    ClQuantizedLstmWorkload.hpp
     ClQuantizeWorkload.cpp
     ClQuantizeWorkload.hpp
     ClReshapeWorkload.cpp
diff --git a/src/backends/cl/workloads/ClQuantizedLstmWorkload.cpp b/src/backends/cl/workloads/ClQuantizedLstmWorkload.cpp
new file mode 100644
index 0000000000..76a6694153
--- /dev/null
+++ b/src/backends/cl/workloads/ClQuantizedLstmWorkload.cpp
@@ -0,0 +1,158 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClQuantizedLstmWorkload.hpp"
+#include "ClWorkloadUtils.hpp"
+
+#include <backendsCommon/CpuTensorHandle.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+#include <cl/ClTensorHandle.hpp>
+
+namespace armnn
+{
+
+using namespace armcomputetensorutils;
+
+arm_compute::Status ClQuantizedLstmWorkloadValidate(const TensorInfo& input, const TensorInfo& previousCellStateIn,
+                                                    const TensorInfo& previousOutputIn, const TensorInfo& cellStateOut,
+                                                    const TensorInfo& output,
+                                                    const QuantizedLstmInputParamsInfo& paramsInfo)
+{
+    // Inputs
+    const arm_compute::TensorInfo aclInputInfo               = BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclPreviousCellStateInInfo = BuildArmComputeTensorInfo(previousCellStateIn);
+    const arm_compute::TensorInfo aclPreviousOutputInInfo    = BuildArmComputeTensorInfo(previousOutputIn);
+
+    // Outputs
+    const arm_compute::TensorInfo aclCellStateOutInfo        = BuildArmComputeTensorInfo(cellStateOut);
+    const arm_compute::TensorInfo aclOutputInfo              = BuildArmComputeTensorInfo(output);
+
+    // Basic parameters
+    const arm_compute::TensorInfo aclInputToInputWeightsInfo
+                                  = BuildArmComputeTensorInfo(paramsInfo.get_InputToInputWeights());
+    const arm_compute::TensorInfo aclInputToForgetWeightsInfo
+                                  = BuildArmComputeTensorInfo(paramsInfo.get_InputToForgetWeights());
+    const arm_compute::TensorInfo aclInputToCellWeightsInfo
+                                  = BuildArmComputeTensorInfo(paramsInfo.get_InputToCellWeights());
+    const arm_compute::TensorInfo aclInputToOutputWeightsInfo
+                                  = BuildArmComputeTensorInfo(paramsInfo.get_InputToOutputWeights());
+    const arm_compute::TensorInfo aclRecurrentToInputWeightsInfo
+                                  = BuildArmComputeTensorInfo(paramsInfo.get_RecurrentToInputWeights());
+    const arm_compute::TensorInfo aclRecurrentToForgetWeightsInfo
+                                  = BuildArmComputeTensorInfo(paramsInfo.get_RecurrentToForgetWeights());
+    const arm_compute::TensorInfo aclRecurrentToCellWeightsInfo
+                                  = BuildArmComputeTensorInfo(paramsInfo.get_RecurrentToCellWeights());
+    const arm_compute::TensorInfo aclRecurrentToOutputWeightsInfo
+                                  = BuildArmComputeTensorInfo(paramsInfo.get_RecurrentToOutputWeights());
+    const arm_compute::TensorInfo aclInputGateBiasInfo  = BuildArmComputeTensorInfo(paramsInfo.get_InputGateBias());
+    const arm_compute::TensorInfo aclForgetGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.get_ForgetGateBias());
+    const arm_compute::TensorInfo aclCellBiasInfo       = BuildArmComputeTensorInfo(paramsInfo.get_CellBias());
+    const arm_compute::TensorInfo aclOutputGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.get_OutputGateBias());
+
+    return arm_compute::CLLSTMLayerQuantized::validate(&aclInputInfo, &aclInputToInputWeightsInfo,
+                                                       &aclInputToForgetWeightsInfo, &aclInputToCellWeightsInfo,
+                                                       &aclInputToOutputWeightsInfo, &aclRecurrentToInputWeightsInfo,
+                                                       &aclRecurrentToForgetWeightsInfo, &aclRecurrentToCellWeightsInfo,
+                                                       &aclRecurrentToOutputWeightsInfo, &aclInputGateBiasInfo,
+                                                       &aclForgetGateBiasInfo, &aclCellBiasInfo, &aclOutputGateBiasInfo,
+                                                       &aclPreviousCellStateInInfo, &aclPreviousOutputInInfo,
+                                                       &aclCellStateOutInfo, &aclOutputInfo);
+}
+
+ClQuantizedLstmWorkload::ClQuantizedLstmWorkload(const QuantizedLstmQueueDescriptor &descriptor,
+                                                 const WorkloadInfo &info):
+                                                 BaseWorkload<QuantizedLstmQueueDescriptor>(descriptor, info)
+{
+    m_InputToInputWeightsTensor = std::make_unique<arm_compute::CLTensor>();
+    BuildArmComputeTensor(*m_InputToInputWeightsTensor, m_Data.m_InputToInputWeights->GetTensorInfo());
+
+    m_InputToForgetWeightsTensor = std::make_unique<arm_compute::CLTensor>();
+    BuildArmComputeTensor(*m_InputToForgetWeightsTensor, m_Data.m_InputToForgetWeights->GetTensorInfo());
+
+    m_InputToCellWeightsTensor = std::make_unique<arm_compute::CLTensor>();
+    BuildArmComputeTensor(*m_InputToCellWeightsTensor, m_Data.m_InputToCellWeights->GetTensorInfo());
+
+    m_InputToOutputWeightsTensor = std::make_unique<arm_compute::CLTensor>();
+    BuildArmComputeTensor(*m_InputToOutputWeightsTensor, m_Data.m_InputToOutputWeights->GetTensorInfo());
+
+    m_RecurrentToInputWeightsTensor = std::make_unique<arm_compute::CLTensor>();
+    BuildArmComputeTensor(*m_RecurrentToInputWeightsTensor, m_Data.m_RecurrentToInputWeights->GetTensorInfo());
+
+    m_RecurrentToForgetWeightsTensor = std::make_unique<arm_compute::CLTensor>();
+    BuildArmComputeTensor(*m_RecurrentToForgetWeightsTensor, m_Data.m_RecurrentToForgetWeights->GetTensorInfo());
+
+    m_RecurrentToCellWeightsTensor = std::make_unique<arm_compute::CLTensor>();
+    BuildArmComputeTensor(*m_RecurrentToCellWeightsTensor, m_Data.m_RecurrentToCellWeights->GetTensorInfo());
+
+    m_RecurrentToOutputWeightsTensor = std::make_unique<arm_compute::CLTensor>();
+    BuildArmComputeTensor(*m_RecurrentToOutputWeightsTensor, m_Data.m_RecurrentToOutputWeights->GetTensorInfo());
+
+    m_InputGateBiasTensor = std::make_unique<arm_compute::CLTensor>();
+    BuildArmComputeTensor(*m_InputGateBiasTensor, m_Data.m_InputGateBias->GetTensorInfo());
+
+    m_ForgetGateBiasTensor = std::make_unique<arm_compute::CLTensor>();
+    BuildArmComputeTensor(*m_ForgetGateBiasTensor, m_Data.m_ForgetGateBias->GetTensorInfo());
+
+    m_CellBiasTensor = std::make_unique<arm_compute::CLTensor>();
+    BuildArmComputeTensor(*m_CellBiasTensor, m_Data.m_CellBias->GetTensorInfo());
+
+    m_OutputGateBiasTensor = std::make_unique<arm_compute::CLTensor>();
+    BuildArmComputeTensor(*m_OutputGateBiasTensor, m_Data.m_OutputGateBias->GetTensorInfo());
+
+    const arm_compute::ICLTensor& inputTensor         = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ICLTensor& cellStateInTensor         = static_cast<IClTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
+    const arm_compute::ICLTensor& outputStateInTensor = static_cast<IClTensorHandle*>(m_Data.m_Inputs[2])->GetTensor();
+
+    arm_compute::ICLTensor& cellStateOutTensor        = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+    arm_compute::ICLTensor& outputStateOutTensor      = static_cast<IClTensorHandle*>(m_Data.m_Outputs[1])->GetTensor();
+
+    m_QuantizedLstmLayer.configure(&inputTensor, m_InputToInputWeightsTensor.get(), m_InputToForgetWeightsTensor.get(),
+                                   m_InputToCellWeightsTensor.get(), m_InputToOutputWeightsTensor.get(),
+                                   m_RecurrentToInputWeightsTensor.get(), m_RecurrentToForgetWeightsTensor.get(),
+                                   m_RecurrentToCellWeightsTensor.get(), m_RecurrentToOutputWeightsTensor.get(),
+                                   m_InputGateBiasTensor.get(), m_ForgetGateBiasTensor.get(), m_CellBiasTensor.get(),
+                                   m_OutputGateBiasTensor.get(), &cellStateInTensor, &outputStateInTensor,
+                                   &cellStateOutTensor, &outputStateOutTensor);
+
+    InitializeArmComputeClTensorData(*m_InputToInputWeightsTensor,      m_Data.m_InputToInputWeights);
+    InitializeArmComputeClTensorData(*m_InputToForgetWeightsTensor,     m_Data.m_InputToForgetWeights);
+    InitializeArmComputeClTensorData(*m_InputToCellWeightsTensor,       m_Data.m_InputToCellWeights);
+    InitializeArmComputeClTensorData(*m_InputToOutputWeightsTensor,     m_Data.m_InputToOutputWeights);
+    InitializeArmComputeClTensorData(*m_RecurrentToInputWeightsTensor,  m_Data.m_RecurrentToInputWeights);
+    InitializeArmComputeClTensorData(*m_RecurrentToForgetWeightsTensor, m_Data.m_RecurrentToForgetWeights);
+    InitializeArmComputeClTensorData(*m_RecurrentToCellWeightsTensor,   m_Data.m_RecurrentToCellWeights);
+    InitializeArmComputeClTensorData(*m_RecurrentToOutputWeightsTensor, m_Data.m_RecurrentToOutputWeights);
+    InitializeArmComputeClTensorData(*m_InputGateBiasTensor,            m_Data.m_InputGateBias);
+    InitializeArmComputeClTensorData(*m_ForgetGateBiasTensor,           m_Data.m_ForgetGateBias);
+    InitializeArmComputeClTensorData(*m_CellBiasTensor,                 m_Data.m_CellBias);
+    InitializeArmComputeClTensorData(*m_OutputGateBiasTensor,           m_Data.m_OutputGateBias);
+
+    m_QuantizedLstmLayer.prepare();
+    FreeUnusedTensors();
+}
+
+void ClQuantizedLstmWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_CL("ClQuantizedLstmWorkload_Execute");
+    RunClFunction(m_QuantizedLstmLayer, CHECK_LOCATION());
+}
+
+void ClQuantizedLstmWorkload::FreeUnusedTensors()
+{
+    FreeTensorIfUnused(m_InputToInputWeightsTensor);
+    FreeTensorIfUnused(m_InputToForgetWeightsTensor);
+    FreeTensorIfUnused(m_InputToCellWeightsTensor);
+    FreeTensorIfUnused(m_InputToOutputWeightsTensor);
+    FreeTensorIfUnused(m_RecurrentToInputWeightsTensor);
+    FreeTensorIfUnused(m_RecurrentToForgetWeightsTensor);
+    FreeTensorIfUnused(m_RecurrentToCellWeightsTensor);
+    FreeTensorIfUnused(m_RecurrentToOutputWeightsTensor);
+    FreeTensorIfUnused(m_InputGateBiasTensor);
+    FreeTensorIfUnused(m_ForgetGateBiasTensor);
+    FreeTensorIfUnused(m_CellBiasTensor);
+    FreeTensorIfUnused(m_OutputGateBiasTensor);
+}
+
+} // namespace armnn
\ No newline at end of file
diff --git a/src/backends/cl/workloads/ClQuantizedLstmWorkload.hpp b/src/backends/cl/workloads/ClQuantizedLstmWorkload.hpp
new file mode 100644
index 0000000000..c7d83755c7
--- /dev/null
+++ b/src/backends/cl/workloads/ClQuantizedLstmWorkload.hpp
@@ -0,0 +1,48 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <backendsCommon/Workload.hpp>
+#include <backendsCommon/WorkloadData.hpp>
+
+#include <arm_compute/runtime/CL/CLFunctions.h>
+
+namespace armnn
+{
+
+arm_compute::Status ClQuantizedLstmWorkloadValidate(const TensorInfo& input, const TensorInfo& previousCellStateIn,
+                                                    const TensorInfo& previousOutputIn, const TensorInfo& cellStateOut,
+                                                    const TensorInfo& output,
+                                                    const QuantizedLstmInputParamsInfo& paramsInfo);
+
+class ClQuantizedLstmWorkload : public BaseWorkload<QuantizedLstmQueueDescriptor>
+{
+public:
+    ClQuantizedLstmWorkload(const QuantizedLstmQueueDescriptor& descriptor, const WorkloadInfo& info);
+    void Execute() const override;
+
+private:
+    mutable arm_compute::CLLSTMLayerQuantized m_QuantizedLstmLayer;
+
+    std::unique_ptr<arm_compute::CLTensor> m_InputToInputWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_InputToForgetWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_InputToCellWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_InputToOutputWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_RecurrentToInputWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_RecurrentToForgetWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_RecurrentToCellWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_RecurrentToOutputWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_InputGateBiasTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_ForgetGateBiasTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_CellBiasTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_OutputGateBiasTensor;
+
+    void FreeUnusedTensors();
+};
+
+} //namespace armnn
+
+
diff --git a/src/backends/cl/workloads/ClWorkloads.hpp b/src/backends/cl/workloads/ClWorkloads.hpp
index 03dffc4edc..1af30ffb34 100644
--- a/src/backends/cl/workloads/ClWorkloads.hpp
+++ b/src/backends/cl/workloads/ClWorkloads.hpp
@@ -29,6 +29,7 @@
 #include "ClPooling2dWorkload.hpp"
 #include "ClPreluWorkload.hpp"
 #include "ClQuantizeWorkload.hpp"
+#include "ClQuantizedLstmWorkload.hpp"
 #include "ClReshapeWorkload.hpp"
 #include "ClResizeWorkload.hpp"
 #include "ClSoftmaxFloatWorkload.hpp"