From c577f2c6a3b4ddb6ba87a882723c53a248afbeba Mon Sep 17 00:00:00 2001 From: telsoa01 Date: Fri, 31 Aug 2018 09:22:23 +0100 Subject: Release 18.08 --- src/armnnTfLiteParser/test/GetInputsOutputs.cpp | 239 ++++++++++++++++++++++++ 1 file changed, 239 insertions(+) create mode 100644 src/armnnTfLiteParser/test/GetInputsOutputs.cpp (limited to 'src/armnnTfLiteParser/test/GetInputsOutputs.cpp') diff --git a/src/armnnTfLiteParser/test/GetInputsOutputs.cpp b/src/armnnTfLiteParser/test/GetInputsOutputs.cpp new file mode 100644 index 0000000000..2c12c1976a --- /dev/null +++ b/src/armnnTfLiteParser/test/GetInputsOutputs.cpp @@ -0,0 +1,239 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// +#include +#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() \ No newline at end of file -- cgit v1.2.1