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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <boost/test/unit_test.hpp>
#include "ParserFlatbuffersFixture.hpp"
#include "../TfLiteParser.hpp"
using armnnTfLiteParser::TfLiteParser;
using ModelPtr = TfLiteParser::ModelPtr;
using SubgraphPtr = TfLiteParser::SubgraphPtr;
using OperatorPtr = TfLiteParser::OperatorPtr;
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
struct LoadModelFixture : public ParserFlatbuffersFixture
{
explicit LoadModelFixture()
{
m_JsonString = R"(
{
"version": 3,
"operator_codes": [ { "builtin_code": "AVERAGE_POOL_2D" }, { "builtin_code": "CONV_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": [ 1 ],
"outputs": [ 0 ],
"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"
} ]
},
{
"tensors": [
{
"shape": [ 1, 3, 3, 1 ],
"type": "UINT8",
"buffer": 0,
"name": "ConvInputTensor",
"quantization": {
"scale": [ 1.0 ],
"zero_point": [ 0 ],
}
},
{
"shape": [ 1, 1, 1, 1 ],
"type": "UINT8",
"buffer": 1,
"name": "ConvOutputTensor",
"quantization": {
"min": [ 0.0 ],
"max": [ 511.0 ],
"scale": [ 2.0 ],
"zero_point": [ 0 ],
}
},
{
"shape": [ 1, 3, 3, 1 ],
"type": "UINT8",
"buffer": 2,
"name": "filterTensor",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ 1.0 ],
"zero_point": [ 0 ],
}
}
],
"inputs": [ 0 ],
"outputs": [ 1 ],
"operators": [
{
"opcode_index": 1,
"inputs": [ 0, 2 ],
"outputs": [ 1 ],
"builtin_options_type": "Conv2DOptions",
"builtin_options": {
"padding": "VALID",
"stride_w": 1,
"stride_h": 1,
"fused_activation_function": "NONE"
},
"custom_options_format": "FLEXBUFFERS"
}
],
}
],
"description": "Test loading a model",
"buffers" : [ {}, {} ]
})";
ReadStringToBinary();
}
void CheckModel(const ModelPtr& model, uint32_t version, size_t opcodeSize,
const std::vector<tflite::BuiltinOperator>& opcodes,
size_t subgraphs, const std::string desc, size_t buffers)
{
BOOST_CHECK(model);
BOOST_CHECK_EQUAL(version, model->version);
BOOST_CHECK_EQUAL(opcodeSize, model->operator_codes.size());
CheckBuiltinOperators(opcodes, model->operator_codes);
BOOST_CHECK_EQUAL(subgraphs, model->subgraphs.size());
BOOST_CHECK_EQUAL(desc, model->description);
BOOST_CHECK_EQUAL(buffers, model->buffers.size());
}
void CheckBuiltinOperators(const std::vector<tflite::BuiltinOperator>& expectedOperators,
const std::vector<std::unique_ptr<tflite::OperatorCodeT>>& result)
{
BOOST_CHECK_EQUAL(expectedOperators.size(), result.size());
for (size_t i = 0; i < expectedOperators.size(); i++)
{
BOOST_CHECK_EQUAL(expectedOperators[i], result[i]->builtin_code);
}
}
void CheckSubgraph(const SubgraphPtr& subgraph, size_t tensors, const std::vector<int32_t>& inputs,
const std::vector<int32_t>& outputs, size_t operators, const std::string& name)
{
BOOST_CHECK(subgraph);
BOOST_CHECK_EQUAL(tensors, subgraph->tensors.size());
BOOST_CHECK_EQUAL_COLLECTIONS(inputs.begin(), inputs.end(), subgraph->inputs.begin(), subgraph->inputs.end());
BOOST_CHECK_EQUAL_COLLECTIONS(outputs.begin(), outputs.end(),
subgraph->outputs.begin(), subgraph->outputs.end());
BOOST_CHECK_EQUAL(operators, subgraph->operators.size());
BOOST_CHECK_EQUAL(name, subgraph->name);
}
void CheckOperator(const OperatorPtr& operatorPtr, uint32_t opcode, const std::vector<int32_t>& inputs,
const std::vector<int32_t>& outputs, tflite::BuiltinOptions optionType,
tflite::CustomOptionsFormat custom_options_format)
{
BOOST_CHECK(operatorPtr);
BOOST_CHECK_EQUAL(opcode, operatorPtr->opcode_index);
BOOST_CHECK_EQUAL_COLLECTIONS(inputs.begin(), inputs.end(),
operatorPtr->inputs.begin(), operatorPtr->inputs.end());
BOOST_CHECK_EQUAL_COLLECTIONS(outputs.begin(), outputs.end(),
operatorPtr->outputs.begin(), operatorPtr->outputs.end());
BOOST_CHECK_EQUAL(optionType, operatorPtr->builtin_options.type);
BOOST_CHECK_EQUAL(custom_options_format, operatorPtr->custom_options_format);
}
};
BOOST_FIXTURE_TEST_CASE(LoadModelFromBinary, LoadModelFixture)
{
TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
CheckModel(model, 3, 2, { tflite::BuiltinOperator_AVERAGE_POOL_2D, tflite::BuiltinOperator_CONV_2D },
2, "Test loading a model", 2);
CheckSubgraph(model->subgraphs[0], 2, { 1 }, { 0 }, 1, "");
CheckSubgraph(model->subgraphs[1], 3, { 0 }, { 1 }, 1, "");
CheckOperator(model->subgraphs[0]->operators[0], 0, { 1 }, { 0 }, tflite::BuiltinOptions_Pool2DOptions,
tflite::CustomOptionsFormat_FLEXBUFFERS);
CheckOperator(model->subgraphs[1]->operators[0], 1, { 0, 2 }, { 1 }, tflite::BuiltinOptions_Conv2DOptions,
tflite::CustomOptionsFormat_FLEXBUFFERS);
}
BOOST_FIXTURE_TEST_CASE(LoadModelFromFile, LoadModelFixture)
{
using namespace boost::filesystem;
std::string fname = unique_path(temp_directory_path() / "%%%%-%%%%-%%%%.tflite").string();
bool saved = flatbuffers::SaveFile(fname.c_str(),
reinterpret_cast<char *>(m_GraphBinary.data()),
m_GraphBinary.size(), true);
BOOST_CHECK_MESSAGE(saved, "Cannot save test file");
TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromFile(fname.c_str());
CheckModel(model, 3, 2, { tflite::BuiltinOperator_AVERAGE_POOL_2D, tflite::BuiltinOperator_CONV_2D },
2, "Test loading a model", 2);
CheckSubgraph(model->subgraphs[0], 2, { 1 }, { 0 }, 1, "");
CheckSubgraph(model->subgraphs[1], 3, { 0 }, { 1 }, 1, "");
CheckOperator(model->subgraphs[0]->operators[0], 0, { 1 }, { 0 }, tflite::BuiltinOptions_Pool2DOptions,
tflite::CustomOptionsFormat_FLEXBUFFERS);
CheckOperator(model->subgraphs[1]->operators[0], 1, { 0, 2 }, { 1 }, tflite::BuiltinOptions_Conv2DOptions,
tflite::CustomOptionsFormat_FLEXBUFFERS);
remove(fname);
}
BOOST_AUTO_TEST_CASE(LoadNullBinary)
{
BOOST_CHECK_THROW(TfLiteParser::LoadModelFromBinary(nullptr, 0), armnn::InvalidArgumentException);
}
BOOST_AUTO_TEST_CASE(LoadInvalidBinary)
{
std::string testData = "invalid data";
BOOST_CHECK_THROW(TfLiteParser::LoadModelFromBinary(reinterpret_cast<const uint8_t*>(&testData),
testData.length()), armnn::ParseException);
}
BOOST_AUTO_TEST_CASE(LoadFileNotFound)
{
BOOST_CHECK_THROW(TfLiteParser::LoadModelFromFile("invalidfile.tflite"), armnn::FileNotFoundException);
}
BOOST_AUTO_TEST_CASE(LoadNullPtrFile)
{
BOOST_CHECK_THROW(TfLiteParser::LoadModelFromFile(nullptr), armnn::InvalidArgumentException);
}
BOOST_AUTO_TEST_SUITE_END()
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