diff --git a/src/armnnTfParser/TfParser.cpp b/src/armnnTfParser/TfParser.cpp
index b5a4211..124c5fd 100755
--- a/src/armnnTfParser/TfParser.cpp
+++ b/src/armnnTfParser/TfParser.cpp
@@ -378,7 +378,8 @@
     { "Pad",                   &TfParser::ParsePad },
     { "Sub",                   &TfParser::ParseSub },
     { "Pack" ,                 &TfParser::ParseStack },
-    { "Stack",                 &TfParser::ParseStack }
+    { "Stack",                 &TfParser::ParseStack },
+    { "Transpose",             &TfParser::ParseTranspose },
 };
 
 const std::list<std::string> TfParser::m_ControlInputs = {
@@ -2054,6 +2055,60 @@
     return std::make_unique<SingleLayerParsedTfOperation>(this, nodeDef, layer);
 }
 
+ParsedTfOperationPtr TfParser::ParseTranspose(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef)
+{
+    boost::ignore_unused(graphDef);
+
+    auto inputs = GetInputParsedTfOperationsChecked(nodeDef, 2);
+    const auto inputCount = inputs.size();
+
+    if (inputCount != 2)
+    {
+        throw ParseException(
+                boost::str(
+                    boost::format(
+                    "The number of given input is %1%. It should be two for Transpose op."
+                    "Node %2% %3%")
+                     % inputCount
+                     % nodeDef.name()
+                     % CHECK_LOCATION().AsString()));
+    }
+
+    auto* input0Slot = &inputs[0].m_IndexedValue->ResolveArmnnOutputSlot(inputs[0].m_Index);
+
+    const auto  constInput         = inputs[GetConstInputIndex(inputs)];
+    auto*       permuteVectorInput =
+        boost::polymorphic_downcast<ParsedConstTfOperation<int32_t>*>(constInput.m_IndexedValue);
+    const auto& permuteVectorInfo  = permuteVectorInput->GetTensorInfo();
+
+    std::vector<int32_t> permuteVectorData;
+    permuteVectorInput->GetConstTensor(permuteVectorData);
+
+    std::vector<unsigned int>      armnnPermuteVectorData(permuteVectorData.size());
+    std::vector<int32_t>::iterator it;
+
+    for (unsigned int i = 0u; i < permuteVectorData.size(); ++i)
+    {
+        it                        = std::find(permuteVectorData.begin(), permuteVectorData.end(), i);
+        armnnPermuteVectorData[i] = static_cast<unsigned int>(std::distance(permuteVectorData.begin(), it));
+    }
+
+    const auto permutationVector = PermutationVector(armnnPermuteVectorData.data(), permuteVectorInfo.GetNumElements());
+    const auto desc              = PermuteDescriptor(permutationVector);
+
+    auto* layer = m_Network->AddPermuteLayer(desc, nodeDef.name().c_str());
+    BOOST_ASSERT(layer);
+
+    input0Slot->Connect(layer->GetInputSlot(0));
+
+    const auto&       input0Info = input0Slot->GetTensorInfo();
+    armnn::TensorInfo outputInfo {input0Info};
+    outputInfo.SetShape(armnnUtils::Permuted(input0Info.GetShape(), desc.m_DimMappings));
+    layer->GetOutputSlot(0).SetTensorInfo(outputInfo);
+
+    return std::make_unique<SingleLayerParsedTfOperation>(this, nodeDef, layer);
+}
+
 unsigned int CheckPaddingTensor(const ConstTensor& paddingTensor,
                                 const TensorInfo& inputTensorInfo,
                                 const std::string& nodeName)
diff --git a/src/armnnTfParser/TfParser.hpp b/src/armnnTfParser/TfParser.hpp
index 9277d44..94499ea 100644
--- a/src/armnnTfParser/TfParser.hpp
+++ b/src/armnnTfParser/TfParser.hpp
@@ -171,6 +171,7 @@
     ParsedTfOperationPtr ParsePad(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef);
     ParsedTfOperationPtr ParseSub(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef);
     ParsedTfOperationPtr ParseStack(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef);
+    ParsedTfOperationPtr ParseTranspose(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef);
     ParsedTfOperationPtr AddActivationLayer(const tensorflow::NodeDef& nodeDef, armnn::ActivationDescriptor& desc);
     ParsedTfOperationPtr AddAdditionLayer(const tensorflow::NodeDef& nodeDef, bool isBiasAdd = false);
     ParsedTfOperationPtr AddRealDivLayer(const tensorflow::NodeDef& nodeDef);
diff --git a/src/armnnTfParser/test/Transpose.cpp b/src/armnnTfParser/test/Transpose.cpp
new file mode 100644
index 0000000..dd73bd9
--- /dev/null
+++ b/src/armnnTfParser/test/Transpose.cpp
@@ -0,0 +1,151 @@
+//
+// Copyright © 2020 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "armnnTfParser/ITfParser.hpp"
+#include "ParserPrototxtFixture.hpp"
+
+#include <boost/test/unit_test.hpp>
+#include <PrototxtConversions.hpp>
+
+BOOST_AUTO_TEST_SUITE(TensorflowParser)
+
+namespace
+{
+    std::string ConvertInt32VectorToOctalString(const std::vector<unsigned int>& data)
+    {
+        std::stringstream ss;
+        ss << "\"";
+        std::for_each(data.begin(), data.end(), [&ss](unsigned int d) {
+            ss << armnnUtils::ConvertInt32ToOctalString(static_cast<int>(d));
+        });
+        ss << "\"";
+        return ss.str();
+    }
+} // namespace
+
+struct TransposeFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser>
+{
+    TransposeFixture(const armnn::TensorShape&        inputShape,
+                     const std::vector<unsigned int>& permuteVectorData)
+    {
+        using armnnUtils::ConvertTensorShapeToString;
+        armnn::TensorShape permuteVectorShape({static_cast<unsigned int>(permuteVectorData.size())});
+
+        m_Prototext = "node {\n"
+"  name: \"input\"\n"
+"  op: \"Placeholder\"\n"
+"  attr {\n"
+"    key: \"dtype\"\n"
+"    value {\n"
+"      type: DT_FLOAT\n"
+"    }\n"
+"  }\n"
+"  attr {\n"
+"    key: \"shape\"\n"
+"    value {\n"
+"      shape {\n";
+        m_Prototext.append(ConvertTensorShapeToString(inputShape));
+        m_Prototext.append(
+"      }\n"
+"    }\n"
+"  }\n"
+"}\n"
+"node {\n"
+"  name: \"transpose/perm\"\n"
+"  op: \"Const\"\n"
+"  attr {\n"
+"    key: \"dtype\"\n"
+"    value {\n"
+"      type: DT_INT32\n"
+"    }\n"
+"  }\n"
+"  attr {\n"
+"    key: \"value\"\n"
+"    value {\n"
+"      tensor {\n"
+"        dtype: DT_INT32\n"
+"        tensor_shape {\n"
+        );
+        m_Prototext.append(ConvertTensorShapeToString(permuteVectorShape));
+        m_Prototext.append(
+"        }\n"
+"        tensor_content: "
+        );
+        m_Prototext.append(ConvertInt32VectorToOctalString(permuteVectorData) + "\n");
+        m_Prototext.append(
+"      }\n"
+"    }\n"
+"  }\n"
+"}\n"
+        );
+        m_Prototext.append(
+"node {\n"
+"  name: \"output\"\n"
+"  op: \"Transpose\"\n"
+"  input: \"input\"\n"
+"  input: \"transpose/perm\"\n"
+"  attr {\n"
+"    key: \"T\"\n"
+"    value {\n"
+"      type: DT_FLOAT\n"
+"    }\n"
+"  }\n"
+"  attr {\n"
+"    key: \"Tperm\"\n"
+"    value {\n"
+"      type: DT_INT32\n"
+"    }\n"
+"  }\n"
+"}\n"
+        );
+        Setup({{"input", inputShape}}, {"output"});
+    }
+};
+
+struct TransposeFixtureWithPermuteData : TransposeFixture
+{
+    TransposeFixtureWithPermuteData()
+        : TransposeFixture({2, 2, 3, 4},
+                           std::vector<unsigned int>({1, 3, 2, 0})) {}
+};
+
+BOOST_FIXTURE_TEST_CASE(TransposeWithPermuteData, TransposeFixtureWithPermuteData)
+{
+    RunTest<4>(
+        {{"input", {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
+        16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
+        32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47}}},
+        {{"output", {0, 24, 4, 28, 8, 32, 1, 25, 5, 29, 9, 33, 2, 26, 6,
+        30, 10, 34, 3, 27, 7, 31, 11, 35, 12, 36, 16, 40, 20, 44, 13, 37,
+        17, 41, 21, 45, 14, 38, 18, 42, 22, 46, 15, 39, 19, 43, 23, 47}}});
+
+    BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("output").second.GetShape()
+                == armnn::TensorShape({2, 4, 3, 2})));
+}
+
+struct TransposeFixtureWithoutPermuteData : TransposeFixture
+{
+    // In case permute data is not given, it assumes (n-1,...,0) is given
+    // where n is the rank of input tensor.
+    TransposeFixtureWithoutPermuteData()
+        : TransposeFixture({2, 2, 3, 4},
+                           std::vector<unsigned int>({3, 2, 1, 0})) {}
+};
+
+BOOST_FIXTURE_TEST_CASE(TransposeWithoutPermuteData, TransposeFixtureWithoutPermuteData)
+{
+    RunTest<4>(
+        {{"input", {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
+        16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
+        32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47}}},
+        {{"output", {0, 24, 12, 36, 4, 28, 16, 40, 8, 32, 20, 44, 1, 25,
+        13, 37, 5, 29, 17, 41, 9, 33, 21, 45, 2, 26, 14, 38, 6, 30, 18,
+        42,10, 34, 22, 46, 3, 27, 15, 39, 7, 31, 19, 43, 11, 35, 23, 47}}});
+
+    BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("output").second.GetShape()
+                == armnn::TensorShape({4, 3, 2, 2})));
+}
+
+BOOST_AUTO_TEST_SUITE_END()
diff --git a/src/armnnUtils/PrototxtConversions.cpp b/src/armnnUtils/PrototxtConversions.cpp
index 1a6c053..cc86321 100644
--- a/src/armnnUtils/PrototxtConversions.cpp
+++ b/src/armnnUtils/PrototxtConversions.cpp
@@ -4,6 +4,7 @@
 //
 
 #include "PrototxtConversions.hpp"
+#include "armnn/Tensor.hpp"
 
 #include <boost/format.hpp>
 
@@ -29,4 +30,17 @@
     return returnString;
 }
 
+/// Converts an TensorShape into Prototxt representation
+std::string ConvertTensorShapeToString(const armnn::TensorShape& shape)
+{
+    std::stringstream ss;
+    for (unsigned int i = 0 ; i < shape.GetNumDimensions() ; i++)
+    {
+        ss << "dim {\n";
+        ss << "size: " << std::to_string(shape[i]) << "\n";
+        ss << "}\n";
+    }
+    return ss.str();
+
+}
 } // namespace armnnUtils
diff --git a/src/armnnUtils/PrototxtConversions.hpp b/src/armnnUtils/PrototxtConversions.hpp
index c90af9e..fb06672 100644
--- a/src/armnnUtils/PrototxtConversions.hpp
+++ b/src/armnnUtils/PrototxtConversions.hpp
@@ -7,10 +7,18 @@
 
 #include <string>
 
+namespace armnn
+{
+class TensorShape;
+} // namespace armnn
+
 namespace armnnUtils
 {
 
 /// Converts an int value into the Prototxt octal representation
 std::string ConvertInt32ToOctalString(int value);
 
+/// Converts an TensorShape into Prototxt representation
+std::string ConvertTensorShapeToString(const armnn::TensorShape& shape);
+
 } // namespace armnnUtils
diff --git a/src/armnnUtils/test/PrototxtConversionsTest.cpp b/src/armnnUtils/test/PrototxtConversionsTest.cpp
index e06fbe0..f263a52 100644
--- a/src/armnnUtils/test/PrototxtConversionsTest.cpp
+++ b/src/armnnUtils/test/PrototxtConversionsTest.cpp
@@ -4,6 +4,7 @@
 //
 
 #include <PrototxtConversions.hpp>
+#include "armnn/Tensor.hpp"
 
 #include <boost/test/unit_test.hpp>
 
@@ -38,4 +39,100 @@
     BOOST_ASSERT(octalString.compare("\\\\000\\\\000\\\\000\\\\377"));
 }
 
+BOOST_AUTO_TEST_CASE(ConvertTensorShapeToStringTest)
+{
+    using armnnUtils::ConvertTensorShapeToString;
+    using armnn::TensorShape;
+
+    auto createAndConvert = [](std::initializer_list<unsigned int> dims) -> std::string
+    {
+        auto shape = TensorShape{dims};
+        return ConvertTensorShapeToString(shape);
+    };
+
+    auto output_string = createAndConvert({5});
+    BOOST_ASSERT(output_string.compare(
+        "dim {\n"
+        "size: 5\n"
+        "}"));
+
+    output_string = createAndConvert({4, 5});
+    BOOST_ASSERT(output_string.compare(
+        "dim {\n"
+            "size: 4\n"
+        "}\n"
+        "dim {\n"
+            "size: 5\n"
+        "}"
+        ));
+
+    output_string = createAndConvert({3, 4, 5});
+    BOOST_ASSERT(output_string.compare(
+        "dim {\n"
+            "size: 3\n"
+        "}\n"
+        "dim {\n"
+            "size: 4\n"
+        "}\n"
+        "dim {\n"
+            "size: 5\n"
+        "}"
+        ));
+
+    output_string = createAndConvert({2, 3, 4, 5});
+    BOOST_ASSERT(output_string.compare(
+        "dim {\n"
+            "size: 2\n"
+        "}\n"
+        "dim {\n"
+            "size: 3\n"
+        "}\n"
+        "dim {\n"
+            "size: 4\n"
+        "}\n"
+        "dim {\n"
+            "size: 5\n"
+        "}"
+        ));
+
+    output_string = createAndConvert({1, 2, 3, 4, 5});
+    BOOST_ASSERT(output_string.compare(
+        "dim {\n"
+            "size: 1\n"
+        "}\n"
+        "dim {\n"
+            "size: 2\n"
+        "}\n"
+        "dim {\n"
+            "size: 3\n"
+        "}\n"
+        "dim {\n"
+            "size: 4\n"
+        "}\n"
+        "dim {\n"
+            "size: 5\n"
+        "}"
+        ));
+
+    output_string = createAndConvert({0xffffffff, 0xffffffff});
+    BOOST_ASSERT(output_string.compare(
+        "dim {\n"
+            "size: 4294967295\n"
+        "}\n"
+        "dim {\n"
+            "size: 4294967295\n"
+        "}"
+        ));
+
+    output_string = createAndConvert({1, 0});
+    BOOST_ASSERT(output_string.compare(
+        "dim {\n"
+            "size: 1\n"
+        "}\n"
+        "dim {\n"
+            "size: 0\n"
+        "}"
+        ));
+}
+
 BOOST_AUTO_TEST_SUITE_END()