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//
// 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);
}
}
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