diff options
Diffstat (limited to 'src/armnnOnnxParser/test/Gather.cpp')
-rw-r--r-- | src/armnnOnnxParser/test/Gather.cpp | 315 |
1 files changed, 315 insertions, 0 deletions
diff --git a/src/armnnOnnxParser/test/Gather.cpp b/src/armnnOnnxParser/test/Gather.cpp new file mode 100644 index 0000000000..1d214419c4 --- /dev/null +++ b/src/armnnOnnxParser/test/Gather.cpp @@ -0,0 +1,315 @@ +// +// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "armnnOnnxParser/IOnnxParser.hpp" +#include "ParserPrototxtFixture.hpp" +#include "OnnxParserTestUtils.hpp" + +TEST_SUITE("OnnxParser_Gather") +{ + +struct GatherMainFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> +{ + GatherMainFixture(const std::vector<int>& indicesShape, + const std::vector<int>& indices, + const std::vector<int>& inputShape, + const std::vector<int>& outputShape) + { + m_Prototext = R"( + ir_version: 8 + producer_name: "onnx-example" + graph { + node { + output: "indices" + op_type: "Constant" + attribute { + name: "value" + t { + data_type: 7 + )" + ConstructIndicesString(indicesShape, indices) + R"( + name: "value" + } + type: TENSOR + } + } + node { + input: "input" + input: "indices" + output: "output" + op_type: "Gather" + attribute { + name: "axis" + i: 0 + type: INT + } + } + name: "gather-model" + input { + name: "input" + type { + tensor_type { + elem_type: 1 + shape { + )" + armnnUtils::ConstructTensorShapeString(inputShape) + R"( + } + } + } + } + output { + name: "output" + type { + tensor_type { + elem_type: 1 + shape { + )" + armnnUtils::ConstructTensorShapeString(outputShape) + R"( + } + } + } + } + })"; + } + std::string ConstructIndicesString(const std::vector<int>& indicesShape, const std::vector<int>& indices) + { + std::string shapeStr; + for (int i : indicesShape) + { + shapeStr = fmt::format(" {} dims: {}", shapeStr, i); + } + for (int i : indices) + { + shapeStr = fmt::format(" {} int64_data: {}", shapeStr, i); + } + return shapeStr; + } +}; + +struct Gather1dFixture : GatherMainFixture +{ + Gather1dFixture() : GatherMainFixture({ 4 }, { 0, 2, 1, 5 }, { 8 }, { 4 }) + { + Setup(); + } +}; + +struct Gather2dFixture : GatherMainFixture +{ + Gather2dFixture() : GatherMainFixture({ 3 }, { 1, 3, 4 }, { 5, 2 }, { 3, 2 }) + { + Setup(); + } +}; + +struct Gather3dMultiIndicesFixture : GatherMainFixture +{ + Gather3dMultiIndicesFixture() : GatherMainFixture({ 2, 3 }, { 1, 2, 1, 2, 1, 0 }, { 3, 2, 3 }, { 2, 3, 2, 3 }) + { + Setup(); + } +}; + +struct Gather4dFixture : GatherMainFixture +{ + Gather4dFixture() : GatherMainFixture({ 3 }, { 0, 1, 3 }, { 5, 4, 3, 2 }, { 3, 4, 3, 2 }) + { + Setup(); + } +}; + +TEST_CASE_FIXTURE(Gather1dFixture, "Gather1dTest") +{ + RunTest<1, float>({{"input", {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f }}}, + {{"output", {1.0f, 3.0f, 2.0f, 6.0f}}}); +} + +TEST_CASE_FIXTURE(Gather2dFixture, "Gather2dTest") +{ + RunTest<2, float>({{"input", {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f }}}, + {{"output", {3.0f, 4.0f, 7.0f, 8.0f, 9.0f, 10.0f }}}); +} + +TEST_CASE_FIXTURE(Gather3dMultiIndicesFixture, "Gather3dMultiIndicesTest") +{ + RunTest<3, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, + 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, + 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f }}}, + {{"output", { 7.0f, 8.0f, 9.0f, + 10.0f, 11.0f, 12.0f, + 13.0f, 14.0f, 15.0f, + 16.0f, 17.0f, 18.0f, + 7.0f, 8.0f, 9.0f, + 10.0f, 11.0f, 12.0f, + 13.0f, 14.0f, 15.0f, + 16.0f, 17.0f, 18.0f, + 7.0f, 8.0f, 9.0f, + 10.0f, 11.0f, 12.0f, + 1.0f, 2.0f, 3.0f, + 4.0f, 5.0f, 6.0f }}}); +} + +TEST_CASE_FIXTURE(Gather4dFixture, "Gather4dTest") +{ + RunTest<4, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, + 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, + 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, + 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, + 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, + 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, + 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, + 36.0f, 37.0f, 38.0f, 39.0f, 40.0f, + 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, + 46.0f, 47.0f, 48.0f, 49.0f, 50.0f, + 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, + 56.0f, 57.0f, 58.0f, 59.0f, 60.0f, + 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, + 66.0f, 67.0f, 68.0f, 69.0f, 70.0f, + 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, + 76.0f, 77.0f, 78.0f, 79.0f, 80.0f, + 81.0f, 82.0f, 83.0f, 84.0f, 85.0f, + 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, + 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, + 96.0f, 97.0f, 98.0f, 99.0f, 100.0f, + 101.0f, 102.0f, 103.0f, 104.0f, 105.0f, + 106.0f, 107.0f, 108.0f, 109.0f, 110.0f, + 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, + 116.0f, 117.0f, 118.0f, 119.0f, 120.0f }}}, + {{"output", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, + 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, + 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, + 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, + 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, + 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, + 37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f, + 43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f, + 73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f, + 79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, + 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, + 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f }}}); +} + +struct GatherRawDataFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> +{ + GatherRawDataFixture() + { + m_Prototext = R"( + ir_version: 8 + producer_name: "onnx-example" + graph { + node { + output: "indices" + op_type: "Constant" + attribute { + name: "value" + t { + dims: 3 + data_type: 7 + raw_data: + "\000\000\000\000\000\000\000\000\001\000\000\000\000\000\000\000\003\000\000\000\000\000\000\000" + name: "value" + } + type: TENSOR + } + } + node { + input: "input" + input: "indices" + output: "output" + op_type: "Gather" + attribute { + name: "axis" + i: 0 + type: INT + } + } + name: "gather-model" + input { + name: "input" + type { + tensor_type { + elem_type: 1 + shape { + dim { + dim_value: 5 + } + dim { + dim_value: 4 + } + dim { + dim_value: 3 + } + dim { + dim_value: 2 + } + } + } + } + } + output { + name: "output" + type { + tensor_type { + elem_type: 1 + shape { + dim { + dim_value: 3 + } + dim { + dim_value: 4 + } + dim { + dim_value: 3 + } + dim { + dim_value: 2 + } + } + } + } + } + })"; + Setup(); + } +}; + +TEST_CASE_FIXTURE(GatherRawDataFixture, "GatherRawDataTest") +{ + RunTest<4, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, + 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, + 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, + 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, + 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, + 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, + 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, + 36.0f, 37.0f, 38.0f, 39.0f, 40.0f, + 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, + 46.0f, 47.0f, 48.0f, 49.0f, 50.0f, + 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, + 56.0f, 57.0f, 58.0f, 59.0f, 60.0f, + 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, + 66.0f, 67.0f, 68.0f, 69.0f, 70.0f, + 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, + 76.0f, 77.0f, 78.0f, 79.0f, 80.0f, + 81.0f, 82.0f, 83.0f, 84.0f, 85.0f, + 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, + 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, + 96.0f, 97.0f, 98.0f, 99.0f, 100.0f, + 101.0f, 102.0f, 103.0f, 104.0f, 105.0f, + 106.0f, 107.0f, 108.0f, 109.0f, 110.0f, + 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, + 116.0f, 117.0f, 118.0f, 119.0f, 120.0f }}}, + {{"output", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, + 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, + 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, + 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, + 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, + 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, + 37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f, + 43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f, + 73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f, + 79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, + 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, + 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f }}}); +} + +} |