diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp
index 86688ad..1ee4950 100644
--- a/src/armnnTfLiteParser/TfLiteParser.cpp
+++ b/src/armnnTfLiteParser/TfLiteParser.cpp
@@ -365,9 +365,15 @@
         }
     }
 
+    std::vector<unsigned int> safeShape = shapes;
+    if (safeShape.size() == 0)
+    {
+        safeShape.push_back(1);
+    }
+
     // two statements (on purpose) for easier debugging:
-    armnn::TensorInfo result(static_cast<unsigned int>(shapes.size()),
-                             shapes.data(),
+    armnn::TensorInfo result(static_cast<unsigned int>(safeShape.size()),
+                             safeShape.data(),
                              type,
                              quantizationScale,
                              quantizationOffset);
diff --git a/src/armnnTfLiteParser/test/InputOutputTensorNames.cpp b/src/armnnTfLiteParser/test/InputOutputTensorNames.cpp
index 6f50162..d42ae2e 100644
--- a/src/armnnTfLiteParser/test/InputOutputTensorNames.cpp
+++ b/src/armnnTfLiteParser/test/InputOutputTensorNames.cpp
@@ -60,9 +60,19 @@
                 "version": 3,
                 "operator_codes": [ ],
                 "subgraphs": [{
-                    "tensors": [ {}, {}, {}, {} ],
-                    "inputs" : [ 0, 1 ],
-                    "outputs" : [ 2, 3 ],
+                    "tensors": [ {
+                        "shape": [ 1, 1, 1, 1, 1 ],
+                        "type": "FLOAT32",
+                        "name": "In",
+                        "buffer": 0
+                    }, {
+                        "shape": [ 1, 1, 1, 1, 1 ],
+                        "type": "FLOAT32",
+                        "name": "Out",
+                        "buffer": 1
+                    }],
+                    "inputs" : [ 0 ],
+                    "outputs" : [ 1 ],
                 }]
             })";
     }
@@ -70,7 +80,7 @@
 
 BOOST_FIXTURE_TEST_CASE(InvalidTensorsThrowException, InvalidTensorsFixture)
 {
-    // this throws because it cannot do the input output tensor connections
+    // Tensor numDimensions must be less than or equal to MaxNumOfTensorDimensions
     BOOST_CHECK_THROW(Setup(), armnn::InvalidArgumentException);
 }
 
@@ -135,4 +145,53 @@
     BOOST_CHECK_THROW(m_Parser->GetSubgraphOutputTensorNames(1), armnn::ParseException);
 }
 
+struct Rank0TensorFixture : public ParserFlatbuffersFixture
+{
+    explicit Rank0TensorFixture()
+    {
+        m_JsonString = R"(
+            {
+                "version": 3,
+                "operator_codes": [ { "builtin_code": "MINIMUM" } ],
+                "subgraphs": [{
+                    "tensors": [ {
+                        "shape": [  ],
+                        "type": "FLOAT32",
+                        "name": "In0",
+                        "buffer": 0,
+                    }, {
+                        "shape": [  ],
+                        "type": "FLOAT32",
+                        "name": "In1",
+                        "buffer": 1,
+                    }, {
+                        "shape": [ ],
+                        "type": "FLOAT32",
+                        "name": "Out",
+                        "buffer": 2,
+                    }],
+                    "inputs" : [ 0, 1 ],
+                    "outputs" : [ 2 ],
+                    "operators": [{
+                        "opcode_index": 0,
+                        "inputs": [ 0, 1 ],
+                        "outputs": [ 2 ],
+                        "custom_options_format": "FLEXBUFFERS"
+                    }]
+                }]
+            }
+        )";
+    }
+};
+
+BOOST_FIXTURE_TEST_CASE(Rank0Tensor, Rank0TensorFixture)
+{
+    Setup();
+    BOOST_CHECK_EQUAL(m_Parser->GetSubgraphInputTensorNames(0).size(), 2u);
+    BOOST_CHECK_EQUAL(m_Parser->GetSubgraphOutputTensorNames(0).size(), 1u);
+    BOOST_CHECK_EQUAL(m_Parser->GetSubgraphInputTensorNames(0)[0], "In0");
+    BOOST_CHECK_EQUAL(m_Parser->GetSubgraphInputTensorNames(0)[1], "In1");
+    BOOST_CHECK_EQUAL(m_Parser->GetSubgraphOutputTensorNames(0)[0], "Out");
+}
+
 BOOST_AUTO_TEST_SUITE_END()
diff --git a/src/armnnTfLiteParser/test/Minimum.cpp b/src/armnnTfLiteParser/test/Minimum.cpp
index 70b249f..8c6db68 100644
--- a/src/armnnTfLiteParser/test/Minimum.cpp
+++ b/src/armnnTfLiteParser/test/Minimum.cpp
@@ -173,4 +173,81 @@
                           5.0f, 6.0f, 7.0f }}});
 }
 
+struct MinimumBroadcastFixture2D0D : public ParserFlatbuffersFixture
+{
+    explicit MinimumBroadcastFixture2D0D()
+    {
+        m_JsonString = R"(
+            {
+                "version": 3,
+                "operator_codes": [ { "builtin_code": "MINIMUM" } ],
+                "subgraphs": [ {
+                    "tensors": [
+                        {
+                            "shape": [ 1, 2 ],
+                            "type": "FLOAT32",
+                            "buffer": 0,
+                            "name": "input0",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        },
+                        {
+                            "shape": [ ],
+                            "type": "FLOAT32",
+                            "buffer": 2,
+                            "name": "input1",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        },
+                        {
+                            "shape": [ 1, 2 ] ,
+                            "type": "FLOAT32",
+                            "buffer": 1,
+                            "name": "output",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        }
+                    ],
+                    "inputs": [ 0 ],
+                    "outputs": [ 2 ],
+                    "operators": [
+                        {
+                            "opcode_index": 0,
+                            "inputs": [ 0, 1 ],
+                            "outputs": [ 2 ],
+                            "custom_options_format": "FLEXBUFFERS"
+                        }
+                    ],
+                } ],
+                "buffers" : [
+                    { },
+                    { },
+                    { "data": [ 0, 0, 0, 64 ] }
+                ]
+            }
+        )";
+        Setup();
+    }
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseMinimumBroadcast2D0D, MinimumBroadcastFixture2D0D)
+{
+    RunTest<2, armnn::DataType::Float32>(
+            0,
+            {{"input0", { 1.0f, 5.0f }}},
+            {{"output", { 1.0f, 2.0f }}});
+}
+
 BOOST_AUTO_TEST_SUITE_END()