| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "armnnTfParser/ITfParser.hpp" |
| |
| #include "ParserPrototxtFixture.hpp" |
| #include <PrototxtConversions.hpp> |
| |
| #include <boost/test/unit_test.hpp> |
| |
| BOOST_AUTO_TEST_SUITE(TensorflowParser) |
| |
| namespace { |
| // helper for setting the dimensions in prototxt |
| void dimsHelper(const std::vector<int>& dims, std::string& text){ |
| for(unsigned int i = 0; i < dims.size(); ++i) { |
| text.append(R"(dim { |
| size: )"); |
| text.append(std::to_string(dims[i])); |
| text.append(R"( |
| })"); |
| } |
| } |
| |
| // helper for converting from integer to octal representation |
| void octalHelper(const std::vector<int>& indicesContent, std::string& text){ |
| for(unsigned int i = 0; i < indicesContent.size(); ++i) { |
| text.append(armnnUtils::ConvertInt32ToOctalString(static_cast<int>(indicesContent[i]))); |
| } |
| } |
| } // namespace |
| |
| struct GatherFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
| { |
| GatherFixture(const armnn::TensorShape& inputShape0, |
| const armnn::TensorShape& inputShape1, |
| const std::vector<int>& input1Content, |
| const std::vector<int>& input0Dims, |
| const std::vector<int>& input1Dims) |
| { |
| m_Prototext = R"( |
| node { |
| name: "input0" |
| op: "Placeholder" |
| attr { |
| key: "dtype" |
| value { |
| type: DT_FLOAT |
| } |
| } |
| attr { |
| key: "shape" |
| value { |
| shape { |
| )"; |
| dimsHelper(input0Dims, m_Prototext); |
| m_Prototext.append(R"( |
| } |
| } |
| } |
| } |
| node { |
| name: "input1" |
| op: "Const" |
| attr { |
| key: "dtype" |
| value { |
| type: DT_INT32 |
| } |
| } |
| attr { |
| key: "value" |
| value { |
| tensor { |
| dtype: DT_INT32 |
| tensor_shape { |
| )"); |
| dimsHelper(input1Dims, m_Prototext); |
| m_Prototext.append(R"( |
| } |
| tensor_content: ")"); |
| octalHelper(input1Content, m_Prototext); |
| m_Prototext.append(R"(" |
| } |
| } |
| } |
| } |
| node { |
| name: "output" |
| op: "Gather" |
| input: "input0" |
| input: "input1" |
| attr { |
| key: "Tindices" |
| value { |
| type: DT_INT32 |
| } |
| } |
| attr { |
| key: "Tparams" |
| value { |
| type: DT_FLOAT |
| } |
| } |
| } |
| )"); |
| Setup({ { "input0", inputShape0 }, |
| { "input1", inputShape1 } }, |
| { "output" }); |
| |
| } |
| }; |
| |
| |
| struct GatherFixture1DParams1DIndices : public GatherFixture |
| { |
| GatherFixture1DParams1DIndices() : GatherFixture( |
| { 4, 1, 1, 1 }, |
| { 4, 0, 0, 0 }, |
| { 0, 2, 1, 3 }, |
| { 4 }, |
| { 4 }) {} |
| }; |
| |
| struct GatherFixture1DParamsMultiDimIndices : public GatherFixture |
| { |
| GatherFixture1DParamsMultiDimIndices() : GatherFixture( |
| { 4, 1, 1 }, |
| { 2, 2, 1, 1 }, |
| { 0, 1, 1, 3 }, |
| { 4 }, |
| { 2, 2 }) {} |
| }; |
| |
| struct GatherFixtureMultiDimParamMultiDimIndices : public GatherFixture |
| { |
| GatherFixtureMultiDimParamMultiDimIndices() : GatherFixture( |
| { 5, 2, 1 }, |
| { 2, 1, 4 }, |
| { 1, 3, 0, 2 }, |
| { 5, 2 }, |
| { 2, 2 }) {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(ParseGather1DParams1DIndices, GatherFixture1DParams1DIndices) |
| { |
| RunTest<4>({ { "input0", { 1, 2, 3, 4 } } }, |
| |
| { { "output", { 1, 3, 2, 4 } } }); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(ParseGather1DParamsMultiDimIndices, GatherFixture1DParamsMultiDimIndices) |
| { |
| RunTest<4>({ { "input0", { 1, 2, 3, 4 } } }, |
| |
| { { "output", { 1, 2, 2, 4 } } }); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(ParseGatherMultiDimParamMultiDimIndices, GatherFixtureMultiDimParamMultiDimIndices) |
| { |
| RunTest<4>({ { "input0", { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 } } }, |
| |
| { { "output", { 3, 4, 7, 8, 1, 2, 5, 6} } }); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |