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Diffstat (limited to 'src/armnnOnnxParser/test/GetInputsOutputs.cpp')
| -rw-r--r-- | src/armnnOnnxParser/test/GetInputsOutputs.cpp | 255 |
1 files changed, 255 insertions, 0 deletions
diff --git a/src/armnnOnnxParser/test/GetInputsOutputs.cpp b/src/armnnOnnxParser/test/GetInputsOutputs.cpp new file mode 100644 index 0000000000..2e605a6322 --- /dev/null +++ b/src/armnnOnnxParser/test/GetInputsOutputs.cpp @@ -0,0 +1,255 @@ +// +// 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 "../OnnxParser.hpp" +#include "ParserPrototxtFixture.hpp" +#include <onnx/onnx.pb.h> +#include "google/protobuf/stubs/logging.h" + + +using ModelPtr = std::unique_ptr<onnx::ModelProto>; + +BOOST_AUTO_TEST_SUITE(OnnxParser) + +struct GetInputsOutputsMainFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> +{ + explicit GetInputsOutputsMainFixture() + { + m_Prototext = R"( + ir_version: 3 + producer_name: "CNTK" + producer_version: "2.5.1" + domain: "ai.cntk" + model_version: 1 + graph { + name: "CNTKGraph" + input { + name: "Input" + type { + tensor_type { + elem_type: FLOAT + shape { + dim { + dim_value: 4 + } + } + } + } + } + node { + input: "Input" + output: "Output" + name: "ActivationLayer" + op_type: "Relu" + } + output { + name: "Output" + type { + tensor_type { + elem_type: FLOAT + shape { + dim { + dim_value: 4 + } + } + } + } + } + } + opset_import { + version: 7 + })"; + Setup(); + } +}; + + +BOOST_FIXTURE_TEST_CASE(GetInput, GetInputsOutputsMainFixture) +{ + ModelPtr model = armnnOnnxParser::OnnxParser::LoadModelFromString(m_Prototext.c_str()); + std::vector<std::string> tensors = armnnOnnxParser::OnnxParser::GetInputs(model); + BOOST_CHECK_EQUAL(1, tensors.size()); + BOOST_CHECK_EQUAL("Input", tensors[0]); + +} + +BOOST_FIXTURE_TEST_CASE(GetOutput, GetInputsOutputsMainFixture) +{ + ModelPtr model = armnnOnnxParser::OnnxParser::LoadModelFromString(m_Prototext.c_str()); + std::vector<std::string> tensors = armnnOnnxParser::OnnxParser::GetOutputs(model); + BOOST_CHECK_EQUAL(1, tensors.size()); + BOOST_CHECK_EQUAL("Output", tensors[0]); +} + +struct GetEmptyInputsOutputsFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> +{ + GetEmptyInputsOutputsFixture() + { + m_Prototext = R"( + ir_version: 3 + producer_name: "CNTK " + producer_version: "2.5.1 " + domain: "ai.cntk " + model_version: 1 + graph { + name: "CNTKGraph " + node { + output: "Output" + attribute { + name: "value" + t { + dims: 7 + data_type: FLOAT + float_data: 0.0 + float_data: 1.0 + float_data: 2.0 + float_data: 3.0 + float_data: 4.0 + float_data: 5.0 + float_data: 6.0 + + } + type: FLOAT + } + name: "constantNode" + op_type: "Constant" + } + output { + name: "Output" + type { + tensor_type { + elem_type: FLOAT + shape { + dim { + dim_value: 7 + } + } + } + } + } + } + opset_import { + version: 7 + })"; + Setup(); + } +}; + +BOOST_FIXTURE_TEST_CASE(GetEmptyInputs, GetEmptyInputsOutputsFixture) +{ + ModelPtr model = armnnOnnxParser::OnnxParser::LoadModelFromString(m_Prototext.c_str()); + std::vector<std::string> tensors = armnnOnnxParser::OnnxParser::GetInputs(model); + BOOST_CHECK_EQUAL(0, tensors.size()); +} + +BOOST_AUTO_TEST_CASE(GetInputsNullModel) +{ + BOOST_CHECK_THROW(armnnOnnxParser::OnnxParser::LoadModelFromString(""), armnn::InvalidArgumentException); +} + +BOOST_AUTO_TEST_CASE(GetOutputsNullModel) +{ + auto silencer = google::protobuf::LogSilencer(); //get rid of errors from protobuf + BOOST_CHECK_THROW(armnnOnnxParser::OnnxParser::LoadModelFromString("nknnk"), armnn::ParseException); +} + +struct GetInputsMultipleFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> +{ + GetInputsMultipleFixture() { + + m_Prototext = R"( + ir_version: 3 + producer_name: "CNTK" + producer_version: "2.5.1" + domain: "ai.cntk" + model_version: 1 + graph { + name: "CNTKGraph" + input { + name: "Input0" + type { + tensor_type { + elem_type: FLOAT + shape { + dim { + dim_value: 1 + } + dim { + dim_value: 1 + } + dim { + dim_value: 1 + } + dim { + dim_value: 4 + } + } + } + } + } + input { + name: "Input1" + type { + tensor_type { + elem_type: FLOAT + shape { + dim { + dim_value: 4 + } + } + } + } + } + node { + input: "Input0" + input: "Input1" + output: "Output" + name: "addition" + op_type: "Add" + doc_string: "" + domain: "" + } + output { + name: "Output" + type { + tensor_type { + elem_type: FLOAT + shape { + dim { + dim_value: 1 + } + dim { + dim_value: 1 + } + dim { + dim_value: 1 + } + dim { + dim_value: 4 + } + } + } + } + } + } + opset_import { + version: 7 + })"; + Setup(); + } +}; + +BOOST_FIXTURE_TEST_CASE(GetInputsMultipleInputs, GetInputsMultipleFixture) +{ + ModelPtr model = armnnOnnxParser::OnnxParser::LoadModelFromString(m_Prototext.c_str()); + std::vector<std::string> tensors = armnnOnnxParser::OnnxParser::GetInputs(model); + BOOST_CHECK_EQUAL(2, tensors.size()); + BOOST_CHECK_EQUAL("Input0", tensors[0]); + BOOST_CHECK_EQUAL("Input1", tensors[1]); +} + + + +BOOST_AUTO_TEST_SUITE_END() |