diff --git a/CMakeLists.txt b/CMakeLists.txt
index aab7202..90eb032 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -725,6 +725,7 @@
             src/armnnDeserializer/test/DeserializeBatchNormalization.cpp
             src/armnnDeserializer/test/DeserializeConstant.cpp
             src/armnnDeserializer/test/DeserializeConvolution2d.cpp
+            src/armnnDeserializer/test/DeserializeDepthToSpace.cpp
             src/armnnDeserializer/test/DeserializeDivision.cpp
             src/armnnDeserializer/test/DeserializeEqual.cpp
             src/armnnDeserializer/test/DeserializeFloor.cpp
diff --git a/src/armnn/layers/DepthToSpaceLayer.cpp b/src/armnn/layers/DepthToSpaceLayer.cpp
index e964c32..de01ca9 100644
--- a/src/armnn/layers/DepthToSpaceLayer.cpp
+++ b/src/armnn/layers/DepthToSpaceLayer.cpp
@@ -40,8 +40,6 @@
 
 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];
diff --git a/src/armnnDeserializer/test/DeserializeDepthToSpace.cpp b/src/armnnDeserializer/test/DeserializeDepthToSpace.cpp
new file mode 100644
index 0000000..8f74de7
--- /dev/null
+++ b/src/armnnDeserializer/test/DeserializeDepthToSpace.cpp
@@ -0,0 +1,136 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ParserFlatbuffersSerializeFixture.hpp"
+
+#include "../Deserializer.hpp"
+
+#include <boost/test/unit_test.hpp>
+
+#include <string>
+
+BOOST_AUTO_TEST_SUITE(Deserializer)
+
+struct DepthToSpaceFixture : public ParserFlatbuffersSerializeFixture
+{
+    explicit DepthToSpaceFixture(const std::string& inputShape,
+                                 const std::string& outputShape,
+                                 const std::string& blockSize,
+                                 const std::string& dataLayout,
+                                 const std::string& dataType)
+    {
+        m_JsonString = R"(
+            {
+                inputIds: [0],
+                outputIds: [2],
+                layers: [
+                    {
+                        layer_type: "InputLayer",
+                        layer: {
+                            base: {
+                                layerBindingId: 0,
+                                base: {
+                                    index: 0,
+                                    layerName: "InputLayer",
+                                    layerType: "Input",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [{
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + inputShape + R"(,
+                                            dataType: )" + dataType + R"(
+                                        }
+                                    }]
+                                }
+                            }
+                        }
+                    },
+                    {
+                        layer_type: "DepthToSpaceLayer",
+                        layer: {
+                            base: {
+                                index: 1,
+                                layerName: "DepthToSpaceLayer",
+                                layerType: "DepthToSpace",
+                                inputSlots: [{
+                                    index: 0,
+                                    connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                }],
+                                outputSlots: [{
+                                    index: 0,
+                                    tensorInfo: {
+                                        dimensions: )" + outputShape + R"(,
+                                        dataType: )" + dataType + R"(
+                                    }
+                                }]
+                            },
+                            descriptor: {
+                                blockSize: )" + blockSize + R"(,
+                                dataLayout: )" + dataLayout + R"(,
+                            }
+                        }
+                    },
+                    {
+                        layer_type: "OutputLayer",
+                        layer: {
+                            base:{
+                                layerBindingId: 2,
+                                base: {
+                                    index: 2,
+                                    layerName: "OutputLayer",
+                                    layerType: "Output",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: {sourceLayerIndex:1, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [{
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + outputShape + R"(,
+                                            dataType: )" + dataType + R"(
+                                        },
+                                    }],
+                                }
+                            }
+                        },
+                    }
+                ]
+            }
+        )";
+        SetupSingleInputSingleOutput("InputLayer", "OutputLayer");
+    }
+};
+
+struct DepthToSpaceFloat32Fixture : DepthToSpaceFixture
+{
+    DepthToSpaceFloat32Fixture() : DepthToSpaceFixture("[ 1, 2, 2, 4 ]", // input shape
+                                                       "[ 1, 4, 4, 1 ]", // output shape
+                                                       "2",              // block size
+                                                       "NHWC",           // data layout
+                                                       "Float32") {}     // data type
+};
+
+BOOST_FIXTURE_TEST_CASE(DepthToSpaceFloat32, DepthToSpaceFloat32Fixture)
+{
+    RunTest<4, armnn::DataType::Float32>(
+        0,
+        {
+             1.f,  2.f,  3.f,  4.f,
+             5.f,  6.f,  7.f,  8.f,
+             9.f, 10.f, 11.f, 12.f,
+            13.f, 14.f, 15.f, 16.f
+        },
+        {
+             1.f,  2.f,  5.f,  6.f,
+             3.f,  4.f,  7.f,  8.f,
+             9.f, 10.f, 13.f, 14.f,
+            11.f, 12.f, 15.f, 16.f
+        });
+}
+
+BOOST_AUTO_TEST_SUITE_END()