Release 18.08

1 files changed, 162 insertions, 0 deletions

diff --git a/src/armnnTfLiteParser/test/GetTensorIds.cpp b/src/armnnTfLiteParser/test/GetTensorIds.cpp
new file mode 100644
index 0000000000..2d123111d3
--- /dev/null
+++ b/src/armnnTfLiteParser/test/GetTensorIds.cpp
@@ -0,0 +1,162 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersFixture.hpp"
+#include "../TfLiteParser.hpp"
+
+using armnnTfLiteParser::TfLiteParser;
+using ModelPtr = TfLiteParser::ModelPtr;
+
+BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
+struct GetTensorIdsFixture : public ParserFlatbuffersFixture
+{
+    explicit GetTensorIdsFixture(const std::string& inputs, const std::string& outputs)
+    {
+        m_JsonString = R"(
+        {
+            "version": 3,
+            "operator_codes": [ { "builtin_code": "AVERAGE_POOL_2D" } ],
+            "subgraphs": [
+            {
+                "tensors": [
+                {
+                    "shape": [ 1, 1, 1, 1 ] ,
+                    "type": "UINT8",
+                            "buffer": 0,
+                            "name": "OutputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ]
+                            }
+                },
+                {
+                    "shape": [ 1, 2, 2, 1 ] ,
+                    "type": "UINT8",
+                            "buffer": 1,
+                            "name": "InputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ]
+                            }
+                }
+                ],
+                "inputs": [ 1 ],
+                "outputs": [ 0 ],
+                "operators": [ {
+                        "opcode_index": 0,
+                        "inputs": )"
+                            + inputs
+                            + R"(,
+                        "outputs": )"
+                            + outputs
+                            + R"(,
+                        "builtin_options_type": "Pool2DOptions",
+                        "builtin_options":
+                        {
+                            "padding": "VALID",
+                            "stride_w": 2,
+                            "stride_h": 2,
+                            "filter_width": 2,
+                            "filter_height": 2,
+                            "fused_activation_function": "NONE"
+                        },
+                        "custom_options_format": "FLEXBUFFERS"
+                    } ]
+                }
+            ],
+            "description": "Test loading a model",
+            "buffers" : [ {}, {} ]
+        })";
+
+        ReadStringToBinary();
+    }
+};
+
+struct GetEmptyTensorIdsFixture : GetTensorIdsFixture
+{
+    GetEmptyTensorIdsFixture() : GetTensorIdsFixture("[ ]", "[ ]") {}
+};
+
+struct GetInputOutputTensorIdsFixture : GetTensorIdsFixture
+{
+    GetInputOutputTensorIdsFixture() : GetTensorIdsFixture("[ 0, 1, 2 ]", "[ 3 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(GetEmptyInputTensorIds, GetEmptyTensorIdsFixture)
+{
+    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
+    std::vector<int32_t> expectedIds = { };
+    std::vector<int32_t> inputTensorIds = TfLiteParser::GetInputTensorIds(model, 0, 0);
+    BOOST_CHECK_EQUAL_COLLECTIONS(expectedIds.begin(), expectedIds.end(),
+                                  inputTensorIds.begin(), inputTensorIds.end());
+}
+
+BOOST_FIXTURE_TEST_CASE(GetEmptyOutputTensorIds, GetEmptyTensorIdsFixture)
+{
+    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
+    std::vector<int32_t> expectedIds = { };
+    std::vector<int32_t> outputTensorIds = TfLiteParser::GetOutputTensorIds(model, 0, 0);
+    BOOST_CHECK_EQUAL_COLLECTIONS(expectedIds.begin(), expectedIds.end(),
+                                  outputTensorIds.begin(), outputTensorIds.end());
+}
+
+BOOST_FIXTURE_TEST_CASE(GetInputTensorIds, GetInputOutputTensorIdsFixture)
+{
+    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
+    std::vector<int32_t> expectedInputIds = { 0, 1, 2 };
+    std::vector<int32_t> inputTensorIds = TfLiteParser::GetInputTensorIds(model, 0, 0);
+    BOOST_CHECK_EQUAL_COLLECTIONS(expectedInputIds.begin(), expectedInputIds.end(),
+                                  inputTensorIds.begin(), inputTensorIds.end());
+}
+
+BOOST_FIXTURE_TEST_CASE(GetOutputTensorIds, GetInputOutputTensorIdsFixture)
+{
+    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
+    std::vector<int32_t> expectedOutputIds = { 3 };
+    std::vector<int32_t> outputTensorIds = TfLiteParser::GetOutputTensorIds(model, 0, 0);
+    BOOST_CHECK_EQUAL_COLLECTIONS(expectedOutputIds.begin(), expectedOutputIds.end(),
+                                  outputTensorIds.begin(), outputTensorIds.end());
+}
+
+BOOST_FIXTURE_TEST_CASE(GetInputTensorIdsNullModel, GetInputOutputTensorIdsFixture)
+{
+    BOOST_CHECK_THROW(TfLiteParser::GetInputTensorIds(nullptr, 0, 0), armnn::ParseException);
+}
+
+BOOST_FIXTURE_TEST_CASE(GetOutputTensorIdsNullModel, GetInputOutputTensorIdsFixture)
+{
+    BOOST_CHECK_THROW(TfLiteParser::GetOutputTensorIds(nullptr, 0, 0), armnn::ParseException);
+}
+
+BOOST_FIXTURE_TEST_CASE(GetInputTensorIdsInvalidSubGraph, GetInputOutputTensorIdsFixture)
+{
+    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
+    BOOST_CHECK_THROW(TfLiteParser::GetInputTensorIds(model, 1, 0), armnn::ParseException);
+}
+
+BOOST_FIXTURE_TEST_CASE(GetOutputTensorIdsInvalidSubGraph, GetInputOutputTensorIdsFixture)
+{
+    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
+    BOOST_CHECK_THROW(TfLiteParser::GetOutputTensorIds(model, 1, 0), armnn::ParseException);
+}
+
+BOOST_FIXTURE_TEST_CASE(GetInputTensorIdsInvalidOperator, GetInputOutputTensorIdsFixture)
+{
+    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
+    BOOST_CHECK_THROW(TfLiteParser::GetInputTensorIds(model, 0, 1), armnn::ParseException);
+}
+
+BOOST_FIXTURE_TEST_CASE(GetOutputTensorIdsInvalidOperator, GetInputOutputTensorIdsFixture)
+{
+    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
+    BOOST_CHECK_THROW(TfLiteParser::GetOutputTensorIds(model, 0, 1), armnn::ParseException);
+}
+
+BOOST_AUTO_TEST_SUITE_END()