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Ferran Balaguer51dd62f2019-01-11 19:29:18 +00001//
2// Copyright © 2017 Arm Ltd. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5
6#include "../ParserHelper.hpp"
7
8#include <boost/test/unit_test.hpp>
9
10#include "armnn/Types.hpp"
11
12using namespace armnn;
13using namespace armnnUtils;
14
15BOOST_AUTO_TEST_SUITE(ParserHelperSuite)
16
17BOOST_AUTO_TEST_CASE(CalculateReducedOutputTensoInfoTest)
18{
19 bool keepDims = false;
20
21 unsigned int inputShape[] = { 2, 3, 4 };
22 TensorInfo inputTensorInfo(3, &inputShape[0], DataType::Float32);
23
24 // Reducing all dimensions results in one single output value (one dimension)
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000025 std::set<unsigned int> axisData1 = { 0, 1, 2 };
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000026 TensorInfo outputTensorInfo1;
27
Derek Lambertibaa177f2019-12-10 22:00:43 +000028 CalculateReducedOutputTensoInfo(inputTensorInfo, axisData1, keepDims, outputTensorInfo1);
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000029
30 BOOST_ASSERT(outputTensorInfo1.GetNumDimensions() == 1);
31 BOOST_ASSERT(outputTensorInfo1.GetShape()[0] == 1);
32
33 // Reducing dimension 0 results in a 3x4 size tensor (one dimension)
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000034 std::set<unsigned int> axisData2 = { 0 };
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000035 TensorInfo outputTensorInfo2;
36
Derek Lambertibaa177f2019-12-10 22:00:43 +000037 CalculateReducedOutputTensoInfo(inputTensorInfo, axisData2, keepDims, outputTensorInfo2);
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000038
39 BOOST_ASSERT(outputTensorInfo2.GetNumDimensions() == 1);
40 BOOST_ASSERT(outputTensorInfo2.GetShape()[0] == 12);
41
42 // Reducing dimensions 0,1 results in a 4 size tensor (one dimension)
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000043 std::set<unsigned int> axisData3 = { 0, 1 };
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000044 TensorInfo outputTensorInfo3;
45
Derek Lambertibaa177f2019-12-10 22:00:43 +000046 CalculateReducedOutputTensoInfo(inputTensorInfo, axisData3, keepDims, outputTensorInfo3);
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000047
48 BOOST_ASSERT(outputTensorInfo3.GetNumDimensions() == 1);
49 BOOST_ASSERT(outputTensorInfo3.GetShape()[0] == 4);
50
51 // Reducing dimension 0 results in a { 1, 3, 4 } dimension tensor
52 keepDims = true;
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000053 std::set<unsigned int> axisData4 = { 0 };
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000054
55 TensorInfo outputTensorInfo4;
56
Derek Lambertibaa177f2019-12-10 22:00:43 +000057 CalculateReducedOutputTensoInfo(inputTensorInfo, axisData4, keepDims, outputTensorInfo4);
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000058
59 BOOST_ASSERT(outputTensorInfo4.GetNumDimensions() == 3);
60 BOOST_ASSERT(outputTensorInfo4.GetShape()[0] == 1);
61 BOOST_ASSERT(outputTensorInfo4.GetShape()[1] == 3);
62 BOOST_ASSERT(outputTensorInfo4.GetShape()[2] == 4);
63
64 // Reducing dimension 1, 2 results in a { 2, 1, 1 } dimension tensor
65 keepDims = true;
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000066 std::set<unsigned int> axisData5 = { 1, 2 };
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000067
68 TensorInfo outputTensorInfo5;
69
Derek Lambertibaa177f2019-12-10 22:00:43 +000070 CalculateReducedOutputTensoInfo(inputTensorInfo, axisData5, keepDims, outputTensorInfo5);
Ferran Balaguer51dd62f2019-01-11 19:29:18 +000071
72 BOOST_ASSERT(outputTensorInfo5.GetNumDimensions() == 3);
73 BOOST_ASSERT(outputTensorInfo5.GetShape()[0] == 2);
74 BOOST_ASSERT(outputTensorInfo5.GetShape()[1] == 1);
75 BOOST_ASSERT(outputTensorInfo5.GetShape()[2] == 1);
76
77}
78
79BOOST_AUTO_TEST_SUITE_END()
80