| // |
| // 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() |
