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-rw-r--r--src/armnnOnnxParser/test/Unsqueeze.cpp197
1 files changed, 197 insertions, 0 deletions
diff --git a/src/armnnOnnxParser/test/Unsqueeze.cpp b/src/armnnOnnxParser/test/Unsqueeze.cpp
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index 0000000000..95a191e46b
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+++ 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 }}});
+}
+
+}