| // |
| // 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; |
| |
| BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) |
| |
| struct GetInputsOutputsMainFixture : public ParserFlatbuffersFixture |
| { |
| explicit GetInputsOutputsMainFixture(const std::string& inputs, const std::string& outputs) |
| { |
| 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": [ -1.2 ], |
| "max": [ 25.5 ], |
| "scale": [ 0.25 ], |
| "zero_point": [ 10 ] |
| } |
| } |
| ], |
| "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" |
| } ] |
| }, |
| { |
| "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": 0, |
| "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 Subgraph Inputs Outputs", |
| "buffers" : [ |
| { }, |
| { }, |
| { "data": [ 2,1,0, 6,2,1, 4,1,2 ], }, |
| { }, |
| ] |
| })"; |
| |
| ReadStringToBinary(); |
| } |
| |
| }; |
| |
| struct GetEmptyInputsOutputsFixture : GetInputsOutputsMainFixture |
| { |
| GetEmptyInputsOutputsFixture() : GetInputsOutputsMainFixture("[ ]", "[ ]") {} |
| }; |
| |
| struct GetInputsOutputsFixture : GetInputsOutputsMainFixture |
| { |
| GetInputsOutputsFixture() : GetInputsOutputsMainFixture("[ 1 ]", "[ 0 ]") {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(GetEmptyInputs, GetEmptyInputsOutputsFixture) |
| { |
| TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size()); |
| TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetInputs(model, 0, 0); |
| BOOST_CHECK_EQUAL(0, tensors.size()); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(GetEmptyOutputs, GetEmptyInputsOutputsFixture) |
| { |
| TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size()); |
| TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetOutputs(model, 0, 0); |
| BOOST_CHECK_EQUAL(0, tensors.size()); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(GetInputs, GetInputsOutputsFixture) |
| { |
| TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size()); |
| TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetInputs(model, 0, 0); |
| BOOST_CHECK_EQUAL(1, tensors.size()); |
| CheckTensors(tensors[0], 4, { 1, 2, 2, 1 }, tflite::TensorType::TensorType_UINT8, 1, |
| "InputTensor", { -1.2f }, { 25.5f }, { 0.25f }, { 10 }); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(GetOutputs, GetInputsOutputsFixture) |
| { |
| TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size()); |
| TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetOutputs(model, 0, 0); |
| BOOST_CHECK_EQUAL(1, tensors.size()); |
| CheckTensors(tensors[0], 4, { 1, 1, 1, 1 }, tflite::TensorType::TensorType_UINT8, 0, |
| "OutputTensor", { 0.0f }, { 255.0f }, { 1.0f }, { 0 }); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(GetInputsMultipleInputs, GetInputsOutputsFixture) |
| { |
| TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size()); |
| TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetInputs(model, 1, 0); |
| BOOST_CHECK_EQUAL(2, tensors.size()); |
| CheckTensors(tensors[0], 4, { 1, 3, 3, 1 }, tflite::TensorType::TensorType_UINT8, 0, |
| "ConvInputTensor", { }, { }, { 1.0f }, { 0 }); |
| CheckTensors(tensors[1], 4, { 1, 3, 3, 1 }, tflite::TensorType::TensorType_UINT8, 2, |
| "filterTensor", { 0.0f }, { 255.0f }, { 1.0f }, { 0 }); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(GetOutputs2, GetInputsOutputsFixture) |
| { |
| TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size()); |
| TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetOutputs(model, 1, 0); |
| BOOST_CHECK_EQUAL(1, tensors.size()); |
| CheckTensors(tensors[0], 4, { 1, 1, 1, 1 }, tflite::TensorType::TensorType_UINT8, 1, |
| "ConvOutputTensor", { 0.0f }, { 511.0f }, { 2.0f }, { 0 }); |
| } |
| |
| BOOST_AUTO_TEST_CASE(GetInputsNullModel) |
| { |
| BOOST_CHECK_THROW(TfLiteParser::GetInputs(nullptr, 0, 0), armnn::ParseException); |
| } |
| |
| BOOST_AUTO_TEST_CASE(GetOutputsNullModel) |
| { |
| BOOST_CHECK_THROW(TfLiteParser::GetOutputs(nullptr, 0, 0), armnn::ParseException); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(GetInputsInvalidSubgraph, GetInputsOutputsFixture) |
| { |
| TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size()); |
| BOOST_CHECK_THROW(TfLiteParser::GetInputs(model, 2, 0), armnn::ParseException); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(GetOutputsInvalidSubgraph, GetInputsOutputsFixture) |
| { |
| TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size()); |
| BOOST_CHECK_THROW(TfLiteParser::GetOutputs(model, 2, 0), armnn::ParseException); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(GetInputsInvalidOperator, GetInputsOutputsFixture) |
| { |
| TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size()); |
| BOOST_CHECK_THROW(TfLiteParser::GetInputs(model, 0, 1), armnn::ParseException); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(GetOutputsInvalidOperator, GetInputsOutputsFixture) |
| { |
| TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size()); |
| BOOST_CHECK_THROW(TfLiteParser::GetOutputs(model, 0, 1), armnn::ParseException); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |