Jan Eilers | 53ef795 | 2021-06-02 12:01:25 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include <reference/workloads/Decoders.hpp> |
| 7 | #include <armnn/utility/NumericCast.hpp> |
| 8 | |
| 9 | #include <fmt/format.h> |
| 10 | |
| 11 | #include <boost/test/unit_test.hpp> |
| 12 | |
| 13 | BOOST_AUTO_TEST_SUITE(RefPerChannelDecoder) |
| 14 | |
| 15 | template<typename T> |
| 16 | void CompareVector(std::vector<T> vec1, std::vector<T> vec2) |
| 17 | { |
| 18 | BOOST_TEST(vec1.size() == vec2.size()); |
| 19 | |
| 20 | bool mismatch = false; |
| 21 | for (uint i = 0; i < vec1.size(); ++i) |
| 22 | { |
| 23 | if (vec1[i] != vec2[i]) |
| 24 | { |
| 25 | /*std::stringstream ss; |
| 26 | ss << "Vector value mismatch: index=" << i << " " << vec1[i] << "!=" << vec2[i];*/ |
| 27 | BOOST_TEST_MESSAGE(fmt::format("Vector value mismatch: index={} {} != {}", |
| 28 | i, |
| 29 | vec1[i], |
| 30 | vec2[i])); |
| 31 | mismatch = true; |
| 32 | } |
| 33 | } |
| 34 | |
| 35 | if (mismatch) |
| 36 | { |
| 37 | BOOST_FAIL("Error in CompareVector. Vectors don't match."); |
| 38 | } |
| 39 | } |
| 40 | |
| 41 | // Ensure quantization works for none depthwise convolutions |
| 42 | BOOST_AUTO_TEST_CASE(RefPerChannelDecoderTest1) |
| 43 | { |
| 44 | using namespace armnn; |
| 45 | std::vector<int8_t> input = |
| 46 | { |
| 47 | 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 |
| 48 | }; |
| 49 | |
| 50 | std::vector<float> expOutput = |
| 51 | { |
| 52 | 0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, |
| 53 | 24.0f, 26.0f, 28.0f, 30.0f, 32.0f, 34.0f, 36.0f, 38.0f, 40.0f, 42.0f, 44.0f, 46.0f |
| 54 | }; |
| 55 | |
| 56 | TensorInfo tensorInfo ({2,2,2,3},DataType::QSymmS8,{1.0f, 2.0f},0); |
| 57 | auto decoder = MakeDecoder<float>(tensorInfo, input.data()); |
| 58 | |
| 59 | std::vector<float> output = decoder->DecodeTensor(tensorInfo.GetShape()); |
| 60 | |
| 61 | CompareVector(output, expOutput); |
| 62 | } |
| 63 | |
| 64 | // Ensure quantization works for depthwise convolutions M=1 |
| 65 | BOOST_AUTO_TEST_CASE(RefPerChannelDecoderTest2) |
| 66 | { |
| 67 | using namespace armnn; |
| 68 | std::vector<int8_t> input = |
| 69 | { |
| 70 | 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 |
| 71 | }; |
| 72 | |
| 73 | std::vector<float> expOutput = |
| 74 | { |
| 75 | 0.0f, 1.0f, 2.0f, 3.0f, |
| 76 | 8.0f, 10.0f, 12.0f, 14.0f, |
| 77 | 24.0f, 27.0f, 30.0f, 33.0f, |
| 78 | 48.0f, 52.0f, 56.0f, 60.0f |
| 79 | }; |
| 80 | |
| 81 | // [O,1,H,W] = [I*M,1,H,W] = [4*1,1,2,2] |
| 82 | TensorInfo tensorInfo ({4,1,2,2},DataType::QSymmS8,{1.0f, 2.0f, 3.0f, 4.0f},0); |
| 83 | auto decoder = MakeDecoder<float>(tensorInfo, input.data()); |
| 84 | |
| 85 | std::vector<float> output = decoder->DecodeTensor(tensorInfo.GetShape(), true); |
| 86 | |
| 87 | CompareVector(output, expOutput); |
| 88 | } |
| 89 | |
| 90 | // Ensure quantization works for depthwise convolutions M=2 |
| 91 | BOOST_AUTO_TEST_CASE(RefPerChannelDecoderTest3) |
| 92 | { |
| 93 | using namespace armnn; |
| 94 | std::vector<int8_t> input = |
| 95 | { |
| 96 | 0, 1, 2, 3, |
| 97 | 4, 5, 6, 7, |
| 98 | 8, 9, 10, 11, |
| 99 | 12, 13, 14, 15, |
| 100 | 16, 17, 18, 19, |
| 101 | 20, 21, 22, 23 |
| 102 | }; |
| 103 | |
| 104 | std::vector<float> expOutput = |
| 105 | { |
| 106 | 0.0f, 1.0f, 2.0f, 3.0f, |
| 107 | 8.0f, 10.0f, 12.0f, 14.0f, |
| 108 | 24.0f, 27.0f, 30.0f, 33.0f, |
| 109 | 48.0f, 52.0f, 56.0f, 60.0f, |
| 110 | 80.0f, 85.0f, 90.0f, 95.0f, |
| 111 | 120.0f, 126.0f, 132.0f, 138.0f |
| 112 | }; |
| 113 | |
| 114 | // [O,1,H,W] = [I*M,1,H,W] = [3*2,1,2,2] |
| 115 | TensorInfo tensorInfo ({6,1,2,2},DataType::QSymmS8,{1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f},0); |
| 116 | auto decoder = MakeDecoder<float>(tensorInfo, input.data()); |
| 117 | |
| 118 | std::vector<float> output = decoder->DecodeTensor(tensorInfo.GetShape(), true); |
| 119 | |
| 120 | CompareVector(output, expOutput); |
| 121 | } |
| 122 | |
| 123 | // Ensure quantization works for depthwise convolutions M=2 for int32 |
| 124 | BOOST_AUTO_TEST_CASE(RefPerChannelDecoderTest4) |
| 125 | { |
| 126 | using namespace armnn; |
| 127 | std::vector<int32_t> input = |
| 128 | { |
| 129 | 0, 1, 2, 3, |
| 130 | 4, 5, 6, 7, |
| 131 | 8, 9, 10, 11, |
| 132 | 12, 13, 14, 15, |
| 133 | 16, 17, 18, 19, |
| 134 | 20, 21, 22, 23 |
| 135 | }; |
| 136 | |
| 137 | std::vector<float> expOutput = |
| 138 | { |
| 139 | 0.0f, 1.0f, 2.0f, 3.0f, |
| 140 | 8.0f, 10.0f, 12.0f, 14.0f, |
| 141 | 24.0f, 27.0f, 30.0f, 33.0f, |
| 142 | 48.0f, 52.0f, 56.0f, 60.0f, |
| 143 | 80.0f, 85.0f, 90.0f, 95.0f, |
| 144 | 120.0f, 126.0f, 132.0f, 138.0f |
| 145 | }; |
| 146 | |
| 147 | // [O,1,H,W] = [I*M,1,H,W] = [3*2,1,2,2] |
| 148 | TensorInfo tensorInfo ({6,1,2,2},DataType::Signed32,{1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f},0); |
| 149 | auto decoder = MakeDecoder<float>(tensorInfo, input.data()); |
| 150 | |
| 151 | std::vector<float> output = decoder->DecodeTensor(tensorInfo.GetShape(), true); |
| 152 | |
| 153 | CompareVector(output, expOutput); |
| 154 | } |
| 155 | |
| 156 | BOOST_AUTO_TEST_SUITE_END() |