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author | Narumol Prangnawarat <narumol.prangnawarat@arm.com> | 2021-09-23 16:11:17 +0100 |
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committer | Jim Flynn <jim.flynn@arm.com> | 2021-09-29 16:24:21 +0000 |
commit | fe6aa2f1ec991bb42356ed4068158395e8c78a7c (patch) | |
tree | 4246c8e850a1b66914eec0da5a7b4c613e07543d /src/armnnOnnxParser/test/Unsqueeze.cpp | |
parent | cd20385b5511ffddb025066edc6988b824dfc1c4 (diff) | |
download | armnn-fe6aa2f1ec991bb42356ed4068158395e8c78a7c.tar.gz |
IVGCVSW-6382 Add Unsqueeze operator support to ONNX parser
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Ie0b68b08fc31444c58b0ffc9babdd456bbb51f35
Diffstat (limited to 'src/armnnOnnxParser/test/Unsqueeze.cpp')
-rw-r--r-- | src/armnnOnnxParser/test/Unsqueeze.cpp | 197 |
1 files changed, 197 insertions, 0 deletions
diff --git a/src/armnnOnnxParser/test/Unsqueeze.cpp b/src/armnnOnnxParser/test/Unsqueeze.cpp new file mode 100644 index 0000000000..95a191e46b --- /dev/null +++ b/src/armnnOnnxParser/test/Unsqueeze.cpp @@ -0,0 +1,197 @@ +// +// 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_Unsqueeze") +{ + +struct UnsqueezeFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> +{ + UnsqueezeFixture(const std::vector<int>& axes, + const std::vector<int>& inputShape, + const std::vector<int>& outputShape) + { + m_Prototext = R"( + ir_version: 8 + producer_name: "onnx-example" + graph { + node { + input: "Input" + output: "Output" + op_type: "Unsqueeze" + )" + armnnUtils::ConstructIntsAttribute("axes", axes) + R"( + } + name: "test-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"( + } + } + } + } + })"; + } +}; + +struct UnsqueezeSingleAxesFixture : UnsqueezeFixture +{ + UnsqueezeSingleAxesFixture() : UnsqueezeFixture({ 0 }, { 2, 3 }, { 1, 2, 3 }) + { + Setup(); + } +}; + +struct UnsqueezeMultiAxesFixture : UnsqueezeFixture +{ + UnsqueezeMultiAxesFixture() : UnsqueezeFixture({ 1, 3 }, { 3, 2, 5 }, { 3, 1, 2, 1, 5 }) + { + Setup(); + } +}; + +struct UnsqueezeUnsortedAxesFixture : UnsqueezeFixture +{ + UnsqueezeUnsortedAxesFixture() : UnsqueezeFixture({ 3, 0, 1 }, { 2, 5 }, { 1, 1, 2, 1, 5 }) + { + Setup(); + } +}; + +TEST_CASE_FIXTURE(UnsqueezeSingleAxesFixture, "UnsqueezeSingleAxesTest") +{ + RunTest<3, float>({{"Input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f }}}, + {{"Output", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f }}}); +} + +TEST_CASE_FIXTURE(UnsqueezeMultiAxesFixture, "UnsqueezeMultiAxesTest") +{ + RunTest<5, 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 }}}, + {{"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 }}}); +} + +TEST_CASE_FIXTURE(UnsqueezeUnsortedAxesFixture, "UnsqueezeUnsortedAxesTest") +{ + RunTest<5, float>({{"Input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, + 6.0f, 7.0f, 8.0f, 9.0f, 10.0f }}}, + {{"Output", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, + 6.0f, 7.0f, 8.0f, 9.0f, 10.0f }}}); +} + +struct UnsqueezeInputAxesFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> +{ + UnsqueezeInputAxesFixture() + { + m_Prototext = R"( + ir_version: 8 + producer_name: "onnx-example" + graph { + node { + input: "Input" + input: "Axes" + output: "Output" + op_type: "Unsqueeze" + } + initializer { + dims: 2 + data_type: 7 + int64_data: 0 + int64_data: 3 + name: "Axes" + } + name: "test-model" + input { + name: "Input" + type { + tensor_type { + elem_type: 1 + shape { + dim { + dim_value: 3 + } + dim { + dim_value: 2 + } + dim { + dim_value: 5 + } + } + } + } + } + output { + name: "Output" + type { + tensor_type { + elem_type: 1 + shape { + dim { + dim_value: 1 + } + dim { + dim_value: 3 + } + dim { + dim_value: 2 + } + dim { + dim_value: 1 + } + dim { + dim_value: 5 + } + } + } + } + } + })"; + Setup(); + } +}; + +TEST_CASE_FIXTURE(UnsqueezeInputAxesFixture, "UnsqueezeInputAxesTest") +{ + RunTest<5, 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 }}}, + {{"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 }}}); +} + +} |