| // |
| // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include <reference/workloads/Decoders.hpp> |
| |
| #include <fmt/format.h> |
| |
| #include <doctest/doctest.h> |
| |
| TEST_SUITE("RefPerChannelDecoder") |
| { |
| template<typename T> |
| void CompareVector(std::vector<T> vec1, std::vector<T> vec2) |
| { |
| CHECK(vec1.size() == vec2.size()); |
| |
| bool mismatch = false; |
| for (uint32_t i = 0; i < vec1.size(); ++i) |
| { |
| if (vec1[i] != vec2[i]) |
| { |
| MESSAGE(fmt::format("Vector value mismatch: index={} {} != {}", |
| i, |
| vec1[i], |
| vec2[i])); |
| |
| mismatch = true; |
| } |
| } |
| |
| if (mismatch) |
| { |
| FAIL("Error in CompareVector. Vectors don't match."); |
| } |
| } |
| |
| // Ensure quantization works for none depthwise convolutions |
| TEST_CASE("RefPerChannelDecoderTest1") |
| { |
| using namespace armnn; |
| std::vector<int8_t> input = |
| { |
| 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 |
| }; |
| |
| std::vector<float> expOutput = |
| { |
| 0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, |
| 24.0f, 26.0f, 28.0f, 30.0f, 32.0f, 34.0f, 36.0f, 38.0f, 40.0f, 42.0f, 44.0f, 46.0f |
| }; |
| |
| TensorInfo tensorInfo ({2,2,2,3},DataType::QSymmS8,{1.0f, 2.0f},0); |
| auto decoder = MakeDecoder<float>(tensorInfo, input.data()); |
| |
| std::vector<float> output = decoder->DecodeTensor(tensorInfo.GetShape()); |
| |
| CompareVector(output, expOutput); |
| } |
| |
| // Ensure quantization works for depthwise convolutions M=1 |
| TEST_CASE("RefPerChannelDecoderTest2") |
| { |
| using namespace armnn; |
| std::vector<int8_t> input = |
| { |
| 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 |
| }; |
| |
| std::vector<float> expOutput = |
| { |
| 0.0f, 1.0f, 2.0f, 3.0f, |
| 8.0f, 10.0f, 12.0f, 14.0f, |
| 24.0f, 27.0f, 30.0f, 33.0f, |
| 48.0f, 52.0f, 56.0f, 60.0f |
| }; |
| |
| // [O,1,H,W] = [I*M,1,H,W] = [4*1,1,2,2] |
| TensorInfo tensorInfo ({4,1,2,2},DataType::QSymmS8,{1.0f, 2.0f, 3.0f, 4.0f},0); |
| auto decoder = MakeDecoder<float>(tensorInfo, input.data()); |
| |
| std::vector<float> output = decoder->DecodeTensor(tensorInfo.GetShape(), true); |
| |
| CompareVector(output, expOutput); |
| } |
| |
| // Ensure quantization works for depthwise convolutions M=2 |
| TEST_CASE("RefPerChannelDecoderTest3") |
| { |
| using namespace armnn; |
| std::vector<int8_t> input = |
| { |
| 0, 1, 2, 3, |
| 4, 5, 6, 7, |
| 8, 9, 10, 11, |
| 12, 13, 14, 15, |
| 16, 17, 18, 19, |
| 20, 21, 22, 23 |
| }; |
| |
| std::vector<float> expOutput = |
| { |
| 0.0f, 1.0f, 2.0f, 3.0f, |
| 8.0f, 10.0f, 12.0f, 14.0f, |
| 24.0f, 27.0f, 30.0f, 33.0f, |
| 48.0f, 52.0f, 56.0f, 60.0f, |
| 80.0f, 85.0f, 90.0f, 95.0f, |
| 120.0f, 126.0f, 132.0f, 138.0f |
| }; |
| |
| // [O,1,H,W] = [I*M,1,H,W] = [3*2,1,2,2] |
| TensorInfo tensorInfo ({6,1,2,2},DataType::QSymmS8,{1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f},0); |
| auto decoder = MakeDecoder<float>(tensorInfo, input.data()); |
| |
| std::vector<float> output = decoder->DecodeTensor(tensorInfo.GetShape(), true); |
| |
| CompareVector(output, expOutput); |
| } |
| |
| // Ensure quantization works for depthwise convolutions M=2 for int32 |
| TEST_CASE("RefPerChannelDecoderTest4") |
| { |
| using namespace armnn; |
| std::vector<int32_t> input = |
| { |
| 0, 1, 2, 3, |
| 4, 5, 6, 7, |
| 8, 9, 10, 11, |
| 12, 13, 14, 15, |
| 16, 17, 18, 19, |
| 20, 21, 22, 23 |
| }; |
| |
| std::vector<float> expOutput = |
| { |
| 0.0f, 1.0f, 2.0f, 3.0f, |
| 8.0f, 10.0f, 12.0f, 14.0f, |
| 24.0f, 27.0f, 30.0f, 33.0f, |
| 48.0f, 52.0f, 56.0f, 60.0f, |
| 80.0f, 85.0f, 90.0f, 95.0f, |
| 120.0f, 126.0f, 132.0f, 138.0f |
| }; |
| |
| // [O,1,H,W] = [I*M,1,H,W] = [3*2,1,2,2] |
| TensorInfo tensorInfo ({6,1,2,2},DataType::Signed32,{1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f},0); |
| auto decoder = MakeDecoder<float>(tensorInfo, input.data()); |
| |
| std::vector<float> output = decoder->DecodeTensor(tensorInfo.GetShape(), true); |
| |
| CompareVector(output, expOutput); |
| } |
| |
| } |