diff --git a/src/armnn/InternalTypes.cpp b/src/armnn/InternalTypes.cpp
index 600d800..e6f7367 100644
--- a/src/armnn/InternalTypes.cpp
+++ b/src/armnn/InternalTypes.cpp
@@ -26,6 +26,7 @@
         case LayerType::ConvertFp32ToFp16: return "ConvertFp32ToFp16";
         case LayerType::Convolution2d: return "Convolution2d";
         case LayerType::Debug: return "Debug";
+        case LayerType::DepthToSpace: return "DepthToSpace";
         case LayerType::DepthwiseConvolution2d: return "DepthwiseConvolution2d";
         case LayerType::Dequantize: return "Dequantize";
         case LayerType::DetectionPostProcess: return "DetectionPostProcess";
diff --git a/src/armnn/InternalTypes.hpp b/src/armnn/InternalTypes.hpp
index 1e05fff..fbca9bc 100644
--- a/src/armnn/InternalTypes.hpp
+++ b/src/armnn/InternalTypes.hpp
@@ -26,6 +26,7 @@
     ConvertFp32ToFp16,
     Convolution2d,
     Debug,
+    DepthToSpace,
     DepthwiseConvolution2d,
     Dequantize,
     DetectionPostProcess,
diff --git a/src/armnn/LayersFwd.hpp b/src/armnn/LayersFwd.hpp
index a98c104..3599eac 100644
--- a/src/armnn/LayersFwd.hpp
+++ b/src/armnn/LayersFwd.hpp
@@ -18,6 +18,7 @@
 #include "layers/ConvertFp32ToFp16Layer.hpp"
 #include "layers/Convolution2dLayer.hpp"
 #include "layers/DebugLayer.hpp"
+#include "layers/DepthToSpaceLayer.hpp"
 #include "layers/DepthwiseConvolution2dLayer.hpp"
 #include "layers/DequantizeLayer.hpp"
 #include "layers/DetectionPostProcessLayer.hpp"
@@ -100,6 +101,7 @@
 DECLARE_LAYER(ConvertFp32ToFp16)
 DECLARE_LAYER(Convolution2d)
 DECLARE_LAYER(Debug)
+DECLARE_LAYER(DepthToSpace)
 DECLARE_LAYER(DepthwiseConvolution2d)
 DECLARE_LAYER(Dequantize)
 DECLARE_LAYER(DetectionPostProcess)
diff --git a/src/armnn/Network.cpp b/src/armnn/Network.cpp
index c055407..a668274 100644
--- a/src/armnn/Network.cpp
+++ b/src/armnn/Network.cpp
@@ -1060,6 +1060,12 @@
     return layer;
 }
 
+IConnectableLayer* Network::AddDepthToSpaceLayer(const DepthToSpaceDescriptor& depthToSpaceDescriptor,
+                                                 const char* name)
+{
+    return m_Graph->AddLayer<DepthToSpaceLayer>(depthToSpaceDescriptor, name);
+}
+
 IConnectableLayer* Network::AddDepthwiseConvolution2dLayer(
         const DepthwiseConvolution2dDescriptor& convolution2dDescriptor,
         const ConstTensor& weights,
diff --git a/src/armnn/Network.hpp b/src/armnn/Network.hpp
index 274cc1a..4a8bfbc 100644
--- a/src/armnn/Network.hpp
+++ b/src/armnn/Network.hpp
@@ -61,6 +61,9 @@
                                              const ConstTensor& biases,
                                              const char* name = nullptr) override;
 
+    IConnectableLayer* AddDepthToSpaceLayer(const DepthToSpaceDescriptor& depthToSpaceDescriptor,
+                                            const char* name = nullptr) override;
+
     IConnectableLayer* AddDepthwiseConvolution2dLayer(
         const DepthwiseConvolution2dDescriptor& convolution2dDescriptor,
         const ConstTensor& weights,
diff --git a/src/armnn/layers/DepthToSpaceLayer.cpp b/src/armnn/layers/DepthToSpaceLayer.cpp
new file mode 100644
index 0000000..e964c32
--- /dev/null
+++ b/src/armnn/layers/DepthToSpaceLayer.cpp
@@ -0,0 +1,84 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "DepthToSpaceLayer.hpp"
+
+#include "LayerCloneBase.hpp"
+
+#include <armnn/TypesUtils.hpp>
+
+#include <backendsCommon/WorkloadData.hpp>
+#include <backendsCommon/WorkloadFactory.hpp>
+
+#include <DataLayoutIndexed.hpp>
+
+#include <numeric>
+
+namespace armnn
+{
+
+DepthToSpaceLayer::DepthToSpaceLayer(const DepthToSpaceDescriptor& param, const char* name)
+    : LayerWithParameters(1, 1, LayerType::DepthToSpace, param, name)
+{}
+
+std::unique_ptr<IWorkload> DepthToSpaceLayer::CreateWorkload(const Graph& graph,
+                                                             const IWorkloadFactory& factory) const
+{
+    DepthToSpaceQueueDescriptor descriptor;
+    descriptor.m_Parameters.m_BlockSize  = m_Param.m_BlockSize;
+    descriptor.m_Parameters.m_DataLayout = m_Param.m_DataLayout;
+
+    return factory.CreateDepthToSpace(descriptor, PrepInfoAndDesc(descriptor, graph));
+}
+
+DepthToSpaceLayer* DepthToSpaceLayer::Clone(Graph& graph) const
+{
+    return CloneBase<DepthToSpaceLayer>(graph, m_Param, GetName());
+}
+
+std::vector<TensorShape> DepthToSpaceLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
+{
+    throw UnimplementedException("DepthToSpaceLayer::InferOutputShapes is not implemented");
+
+    BOOST_ASSERT(inputShapes.size() == 1);
+
+    TensorShape inputShape = inputShapes[0];
+    TensorShape outputShape(inputShape);
+
+    armnnUtils::DataLayoutIndexed dimensionIndices(m_Param.m_DataLayout);
+
+    unsigned int hIndex = dimensionIndices.GetHeightIndex();
+    unsigned int wIndex = dimensionIndices.GetWidthIndex();
+    unsigned int cIndex = dimensionIndices.GetChannelsIndex();
+
+    outputShape[hIndex] = inputShape[hIndex] * m_Param.m_BlockSize;
+    outputShape[wIndex] = inputShape[wIndex] * m_Param.m_BlockSize;
+
+    outputShape[cIndex] = inputShape[cIndex] / (m_Param.m_BlockSize * m_Param.m_BlockSize);
+
+    return std::vector<TensorShape>({ outputShape });
+}
+
+void DepthToSpaceLayer::ValidateTensorShapesFromInputs()
+{
+    VerifyLayerConnections(1, CHECK_LOCATION());
+
+    std::vector<TensorShape> inferredShapes = InferOutputShapes({
+        GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
+
+    BOOST_ASSERT(inferredShapes.size() == 1);
+
+    ConditionalThrowIfNotEqual<LayerValidationException>(
+        "DepthToSpaceLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+        GetOutputSlot(0).GetTensorInfo().GetShape(),
+        inferredShapes[0]);
+}
+
+void DepthToSpaceLayer::Accept(ILayerVisitor& visitor) const
+{
+    visitor.VisitDepthToSpaceLayer(this, GetParameters(), GetName());
+}
+
+} // namespace armnn
diff --git a/src/armnn/layers/DepthToSpaceLayer.hpp b/src/armnn/layers/DepthToSpaceLayer.hpp
new file mode 100644
index 0000000..cc5abe4
--- /dev/null
+++ b/src/armnn/layers/DepthToSpaceLayer.hpp
@@ -0,0 +1,50 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "LayerWithParameters.hpp"
+
+namespace armnn
+{
+
+/// This layer represents a DepthToSpace operation.
+class DepthToSpaceLayer : public LayerWithParameters<DepthToSpaceDescriptor>
+{
+public:
+    /// Makes a workload for the DepthToSpace type.
+    /// @param [in] graph The graph where this layer can be found.
+    /// @param [in] factory The workload factory which will create the workload.
+    /// @return A pointer to the created workload, or nullptr if not created.
+    virtual std::unique_ptr<IWorkload> CreateWorkload(const Graph& graph,
+                                                      const IWorkloadFactory& factory) const override;
+
+    /// Creates a dynamically-allocated copy of this layer.
+    /// @param [in] graph The graph into which this layer is being cloned.
+    DepthToSpaceLayer* Clone(Graph& graph) const override;
+
+    /// By default returns inputShapes if the number of inputs are equal to number of outputs,
+    /// otherwise infers the output shapes from given input shapes and layer properties.
+    /// @param [in] inputShapes The input shapes layer has.
+    /// @return A vector to the inferred output shape.
+    std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
+
+    /// Check if the input tensor shape(s)
+    /// will lead to a valid configuration of @ref DepthToSpaceLayer.
+    void ValidateTensorShapesFromInputs() override;
+
+    void Accept(ILayerVisitor& visitor) const override;
+
+protected:
+    /// Constructor to create a DepthToSpaceLayer.
+    /// @param [in] param DepthToSpaceDescriptor to configure the DepthToSpaceLayer operation.
+    /// @param [in] name Optional name for the layer.
+    DepthToSpaceLayer(const DepthToSpaceDescriptor& param, const char* name);
+
+    /// Default destructor
+    ~DepthToSpaceLayer() = default;
+};
+
+} // namespace armnn
diff --git a/src/armnn/test/TestNameOnlyLayerVisitor.cpp b/src/armnn/test/TestNameOnlyLayerVisitor.cpp
index c738cae..2217a32 100644
--- a/src/armnn/test/TestNameOnlyLayerVisitor.cpp
+++ b/src/armnn/test/TestNameOnlyLayerVisitor.cpp
@@ -49,6 +49,7 @@
 BOOST_AUTO_TEST_SUITE(TestNameOnlyLayerVisitor)
 
 TEST_SUITE_NAME_ONLY_LAYER_VISITOR_1_PARAM(Addition)
+TEST_SUITE_NAME_ONLY_LAYER_VISITOR_2_PARAM(DepthToSpace)
 TEST_SUITE_NAME_ONLY_LAYER_VISITOR_1_PARAM(Division)
 TEST_SUITE_NAME_ONLY_LAYER_VISITOR_1_PARAM(Equal)
 TEST_SUITE_NAME_ONLY_LAYER_VISITOR_1_PARAM(Floor)
diff --git a/src/armnn/test/TestNameOnlyLayerVisitor.hpp b/src/armnn/test/TestNameOnlyLayerVisitor.hpp
index 1c5ede0..4e0aa2f 100644
--- a/src/armnn/test/TestNameOnlyLayerVisitor.hpp
+++ b/src/armnn/test/TestNameOnlyLayerVisitor.hpp
@@ -45,6 +45,7 @@
 } // anonymous namespace
 
 TEST_LAYER_VISITOR_1_PARAM(Addition)
+TEST_LAYER_VISITOR_2_PARAM(DepthToSpace)
 TEST_LAYER_VISITOR_1_PARAM(Division)
 TEST_LAYER_VISITOR_1_PARAM(Equal)
 TEST_LAYER_VISITOR_1_PARAM(Floor)
diff --git a/src/armnnSerializer/Serializer.cpp b/src/armnnSerializer/Serializer.cpp
index 16b7cff..f07805c 100644
--- a/src/armnnSerializer/Serializer.cpp
+++ b/src/armnnSerializer/Serializer.cpp
@@ -299,6 +299,13 @@
     CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_Convolution2dLayer);
 }
 
+void SerializerVisitor::VisitDepthToSpaceLayer(const armnn::IConnectableLayer* layer,
+                                               const armnn::DepthToSpaceDescriptor& descriptor,
+                                               const char* name)
+{
+    throw UnimplementedException("SerializerVisitor::VisitDepthToSpaceLayer is not implemented");
+}
+
 void SerializerVisitor::VisitDepthwiseConvolution2dLayer(const armnn::IConnectableLayer* layer,
                                                          const armnn::DepthwiseConvolution2dDescriptor& descriptor,
                                                          const armnn::ConstTensor& weights,
diff --git a/src/armnnSerializer/Serializer.hpp b/src/armnnSerializer/Serializer.hpp
index 8e65902..429487d 100644
--- a/src/armnnSerializer/Serializer.hpp
+++ b/src/armnnSerializer/Serializer.hpp
@@ -82,6 +82,10 @@
                                  const armnn::Optional<armnn::ConstTensor>& biases,
                                  const char* = nullptr) override;
 
+    void VisitDepthToSpaceLayer(const armnn::IConnectableLayer* layer,
+                                const armnn::DepthToSpaceDescriptor& descriptor,
+                                const char* name = nullptr) override;
+
     void VisitDepthwiseConvolution2dLayer(const armnn::IConnectableLayer* layer,
                                           const armnn::DepthwiseConvolution2dDescriptor& descriptor,
                                           const armnn::ConstTensor& weights,
diff --git a/src/backends/backendsCommon/LayerSupportBase.cpp b/src/backends/backendsCommon/LayerSupportBase.cpp
index 7f1fd10..656407d 100644
--- a/src/backends/backendsCommon/LayerSupportBase.cpp
+++ b/src/backends/backendsCommon/LayerSupportBase.cpp
@@ -129,6 +129,14 @@
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
+bool LayerSupportBase::IsDepthToSpaceSupported(const TensorInfo& input,
+                                               const TensorInfo& output,
+                                               const DepthToSpaceDescriptor& descriptor,
+                                               Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
 bool LayerSupportBase::IsDepthwiseConvolutionSupported(const TensorInfo& input,
                                                        const TensorInfo& output,
                                                        const DepthwiseConvolution2dDescriptor& descriptor,
diff --git a/src/backends/backendsCommon/LayerSupportBase.hpp b/src/backends/backendsCommon/LayerSupportBase.hpp
index 8df1f8d..c3875e6 100644
--- a/src/backends/backendsCommon/LayerSupportBase.hpp
+++ b/src/backends/backendsCommon/LayerSupportBase.hpp
@@ -74,6 +74,11 @@
                           const TensorInfo& output,
                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
+    bool IsDepthToSpaceSupported(const TensorInfo& input,
+                                 const TensorInfo& output,
+                                 const DepthToSpaceDescriptor& descriptor,
+                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
     bool IsDepthwiseConvolutionSupported(const TensorInfo& input,
                                          const TensorInfo& output,
                                          const DepthwiseConvolution2dDescriptor& descriptor,
diff --git a/src/backends/backendsCommon/WorkloadData.cpp b/src/backends/backendsCommon/WorkloadData.cpp
index c8c4f9a..52d1409 100644
--- a/src/backends/backendsCommon/WorkloadData.cpp
+++ b/src/backends/backendsCommon/WorkloadData.cpp
@@ -2642,4 +2642,55 @@
     }
 }
 
+void DepthToSpaceQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
+{
+    const std::string descriptorName{"DepthToSpaceQueueDescriptor"};
+
+    ValidateNumInputs(workloadInfo,  descriptorName, 1);
+    ValidateNumOutputs(workloadInfo, descriptorName, 1);
+
+    const TensorInfo& inputInfo  = workloadInfo.m_InputTensorInfos[0];
+    const TensorInfo& outputInfo = workloadInfo.m_OutputTensorInfos[0];
+
+    ValidateTensorNumDimensions(inputInfo,  descriptorName, 4, "input");
+    ValidateTensorNumDimensions(outputInfo, descriptorName, 4, "output");
+
+    std::vector<DataType> supportedTypes =
+    {
+        DataType::Float32,
+        DataType::Float16,
+        DataType::QuantisedAsymm8,
+        DataType::QuantisedSymm16
+    };
+
+    ValidateDataTypes(inputInfo,  supportedTypes, descriptorName);
+    ValidateDataTypes(outputInfo, supportedTypes, descriptorName);
+
+    ValidateTensorNumElementsMatch(inputInfo, outputInfo, descriptorName, "input", "output");
+
+    if (m_Parameters.m_BlockSize == 0)
+    {
+        throw InvalidArgumentException(descriptorName + ": Block size cannot be 0.");
+    }
+
+    DataLayoutIndexed dimensionIndices(m_Parameters.m_DataLayout);
+    const unsigned int wIndex = dimensionIndices.GetWidthIndex();
+    const unsigned int hIndex = dimensionIndices.GetHeightIndex();
+    const unsigned int cIndex = dimensionIndices.GetChannelsIndex();
+
+    const TensorShape& outputShape = outputInfo.GetShape();
+    if (outputShape[hIndex] % m_Parameters.m_BlockSize != 0 || outputShape[wIndex]  % m_Parameters.m_BlockSize != 0)
+    {
+        throw InvalidArgumentException(descriptorName + ": Output width and height shape"
+                                       "must be divisible by block size.");
+    }
+
+    const TensorShape& inputShape = inputInfo.GetShape();
+    if (inputShape[cIndex] % (m_Parameters.m_BlockSize * m_Parameters.m_BlockSize) != 0)
+    {
+        throw InvalidArgumentException(descriptorName + ": The depth of the input tensor"
+                                       "must be divisible by the square of block size." );
+    }
+}
+
 } // namespace armnn
diff --git a/src/backends/backendsCommon/WorkloadData.hpp b/src/backends/backendsCommon/WorkloadData.hpp
index 1e49243..177bfb7 100644
--- a/src/backends/backendsCommon/WorkloadData.hpp
+++ b/src/backends/backendsCommon/WorkloadData.hpp
@@ -538,4 +538,9 @@
     void Validate(const WorkloadInfo& workloadInfo) const;
 };
 
+struct DepthToSpaceQueueDescriptor : QueueDescriptorWithParameters<DepthToSpaceDescriptor>
+{
+    void Validate(const WorkloadInfo& workloadInfo) const;
+};
+
 } // namespace armnn
diff --git a/src/backends/backendsCommon/WorkloadFactory.cpp b/src/backends/backendsCommon/WorkloadFactory.cpp
index 9d6b2bd..44888b3 100644
--- a/src/backends/backendsCommon/WorkloadFactory.cpp
+++ b/src/backends/backendsCommon/WorkloadFactory.cpp
@@ -206,6 +206,19 @@
                                                           reason);
             break;
         }
+        case LayerType::DepthToSpace:
+        {
+            auto cLayer = boost::polymorphic_downcast<const DepthToSpaceLayer*>(&layer);
+
+            const TensorInfo& input  = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();
+            const TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();
+
+            result = layerSupportObject->IsDepthToSpaceSupported(OverrideDataType(input, dataType),
+                                                                 OverrideDataType(output, dataType),
+                                                                 cLayer->GetParameters(),
+                                                                 reason);
+            break;
+        }
         case LayerType::DepthwiseConvolution2d:
         {
             auto cLayer = boost::polymorphic_downcast<const DepthwiseConvolution2dLayer*>(&layer);
@@ -1060,6 +1073,12 @@
     return std::unique_ptr<IWorkload>();
 }
 
+std::unique_ptr<IWorkload> IWorkloadFactory::CreateDepthToSpace(const DepthToSpaceQueueDescriptor& descriptor,
+                                                                const WorkloadInfo& info) const
+{
+    return std::unique_ptr<IWorkload>();
+}
+
 std::unique_ptr<IWorkload> IWorkloadFactory::CreateDepthwiseConvolution2d(
     const DepthwiseConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) const
 {
diff --git a/src/backends/backendsCommon/WorkloadFactory.hpp b/src/backends/backendsCommon/WorkloadFactory.hpp
index 91cf2c7..29ebe2a 100644
--- a/src/backends/backendsCommon/WorkloadFactory.hpp
+++ b/src/backends/backendsCommon/WorkloadFactory.hpp
@@ -85,6 +85,9 @@
     virtual std::unique_ptr<IWorkload> CreateDebug(const DebugQueueDescriptor& descriptor,
                                                    const WorkloadInfo& info) const;
 
+    virtual std::unique_ptr<IWorkload> CreateDepthToSpace(const DepthToSpaceQueueDescriptor& descriptor,
+                                                          const WorkloadInfo& info) const;
+
     virtual std::unique_ptr<IWorkload> CreateDepthwiseConvolution2d(
         const DepthwiseConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) const;
 
diff --git a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
index 17b7934..e492cd6 100644
--- a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
+++ b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
@@ -413,6 +413,8 @@
 
 DECLARE_LAYER_POLICY_1_PARAM(Debug)
 
+DECLARE_LAYER_POLICY_2_PARAM(DepthToSpace)
+
 DECLARE_LAYER_POLICY_2_PARAM(DepthwiseConvolution2d)
 
 DECLARE_LAYER_POLICY_1_PARAM(Dequantize)