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kc3-lang/angle/src/common/mathutil_unittest.cpp

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  • Author : Tobin Ehlis
    Date : 2020-08-26 11:27:13
    Hash : d7276586
    Message : Vulkan:Use roundUpPow2 where possible Utility function roundUpPow2 is more optimal than roundUp so use it. Bug: b/166462979 Change-Id: I616fa9f487b818137b1b496d93e292c3bd1f428c Reviewed-on: https://chromium-review.googlesource.com/c/angle/angle/+/2377119 Reviewed-by: Courtney Goeltzenleuchter <courtneygo@google.com> Reviewed-by: Cody Northrop <cnorthrop@google.com> Commit-Queue: Tobin Ehlis <tobine@google.com>

  • src/common/mathutil_unittest.cpp
  • //
    // Copyright 2015 The ANGLE Project Authors. All rights reserved.
    // Use of this source code is governed by a BSD-style license that can be
    // found in the LICENSE file.
    //
    // mathutil_unittest:
    //   Unit tests for the utils defined in mathutil.h
    //
    
    #include "mathutil.h"
    
    #include <gtest/gtest.h>
    
    using namespace gl;
    
    namespace
    {
    
    // Test the correctness of packSnorm2x16 and unpackSnorm2x16 functions.
    // For floats f1 and f2, unpackSnorm2x16(packSnorm2x16(f1, f2)) should be same as f1 and f2.
    TEST(MathUtilTest, packAndUnpackSnorm2x16)
    {
        const float input[8][2] = {
            {0.0f, 0.0f},    {1.0f, 1.0f},          {-1.0f, 1.0f},           {-1.0f, -1.0f},
            {0.875f, 0.75f}, {0.00392f, -0.99215f}, {-0.000675f, 0.004954f}, {-0.6937f, -0.02146f}};
        const float floatFaultTolerance = 0.0001f;
        float outputVal1, outputVal2;
    
        for (size_t i = 0; i < 8; i++)
        {
            unpackSnorm2x16(packSnorm2x16(input[i][0], input[i][1]), &outputVal1, &outputVal2);
            EXPECT_NEAR(input[i][0], outputVal1, floatFaultTolerance);
            EXPECT_NEAR(input[i][1], outputVal2, floatFaultTolerance);
        }
    }
    
    // Test the correctness of packSnorm2x16 and unpackSnorm2x16 functions with infinity values,
    // result should be clamped to [-1, 1].
    TEST(MathUtilTest, packAndUnpackSnorm2x16Infinity)
    {
        const float floatFaultTolerance = 0.0001f;
        float outputVal1, outputVal2;
    
        unpackSnorm2x16(packSnorm2x16(std::numeric_limits<float>::infinity(),
                                      std::numeric_limits<float>::infinity()),
                        &outputVal1, &outputVal2);
        EXPECT_NEAR(1.0f, outputVal1, floatFaultTolerance);
        EXPECT_NEAR(1.0f, outputVal2, floatFaultTolerance);
    
        unpackSnorm2x16(packSnorm2x16(std::numeric_limits<float>::infinity(),
                                      -std::numeric_limits<float>::infinity()),
                        &outputVal1, &outputVal2);
        EXPECT_NEAR(1.0f, outputVal1, floatFaultTolerance);
        EXPECT_NEAR(-1.0f, outputVal2, floatFaultTolerance);
    
        unpackSnorm2x16(packSnorm2x16(-std::numeric_limits<float>::infinity(),
                                      -std::numeric_limits<float>::infinity()),
                        &outputVal1, &outputVal2);
        EXPECT_NEAR(-1.0f, outputVal1, floatFaultTolerance);
        EXPECT_NEAR(-1.0f, outputVal2, floatFaultTolerance);
    }
    
    // Test the correctness of packUnorm2x16 and unpackUnorm2x16 functions.
    // For floats f1 and f2, unpackUnorm2x16(packUnorm2x16(f1, f2)) should be same as f1 and f2.
    TEST(MathUtilTest, packAndUnpackUnorm2x16)
    {
        const float input[8][2] = {
            {0.0f, 0.0f},    {1.0f, 1.0f},          {-1.0f, 1.0f},           {-1.0f, -1.0f},
            {0.875f, 0.75f}, {0.00392f, -0.99215f}, {-0.000675f, 0.004954f}, {-0.6937f, -0.02146f}};
        const float floatFaultTolerance = 0.0001f;
        float outputVal1, outputVal2;
    
        for (size_t i = 0; i < 8; i++)
        {
            unpackUnorm2x16(packUnorm2x16(input[i][0], input[i][1]), &outputVal1, &outputVal2);
            float expected = input[i][0] < 0.0f ? 0.0f : input[i][0];
            EXPECT_NEAR(expected, outputVal1, floatFaultTolerance);
            expected = input[i][1] < 0.0f ? 0.0f : input[i][1];
            EXPECT_NEAR(expected, outputVal2, floatFaultTolerance);
        }
    }
    
    // Test the correctness of packUnorm2x16 and unpackUnorm2x16 functions with infinity values,
    // result should be clamped to [0, 1].
    TEST(MathUtilTest, packAndUnpackUnorm2x16Infinity)
    {
        const float floatFaultTolerance = 0.0001f;
        float outputVal1, outputVal2;
    
        unpackUnorm2x16(packUnorm2x16(std::numeric_limits<float>::infinity(),
                                      std::numeric_limits<float>::infinity()),
                        &outputVal1, &outputVal2);
        EXPECT_NEAR(1.0f, outputVal1, floatFaultTolerance);
        EXPECT_NEAR(1.0f, outputVal2, floatFaultTolerance);
    
        unpackUnorm2x16(packUnorm2x16(std::numeric_limits<float>::infinity(),
                                      -std::numeric_limits<float>::infinity()),
                        &outputVal1, &outputVal2);
        EXPECT_NEAR(1.0f, outputVal1, floatFaultTolerance);
        EXPECT_NEAR(0.0f, outputVal2, floatFaultTolerance);
    
        unpackUnorm2x16(packUnorm2x16(-std::numeric_limits<float>::infinity(),
                                      -std::numeric_limits<float>::infinity()),
                        &outputVal1, &outputVal2);
        EXPECT_NEAR(0.0f, outputVal1, floatFaultTolerance);
        EXPECT_NEAR(0.0f, outputVal2, floatFaultTolerance);
    }
    
    // Test the correctness of packHalf2x16 and unpackHalf2x16 functions.
    // For floats f1 and f2, unpackHalf2x16(packHalf2x16(f1, f2)) should be same as f1 and f2.
    TEST(MathUtilTest, packAndUnpackHalf2x16)
    {
        const float input[8][2] = {
            {0.0f, 0.0f},    {1.0f, 1.0f},          {-1.0f, 1.0f},           {-1.0f, -1.0f},
            {0.875f, 0.75f}, {0.00392f, -0.99215f}, {-0.000675f, 0.004954f}, {-0.6937f, -0.02146f},
        };
        const float floatFaultTolerance = 0.0005f;
        float outputVal1, outputVal2;
    
        for (size_t i = 0; i < 8; i++)
        {
            unpackHalf2x16(packHalf2x16(input[i][0], input[i][1]), &outputVal1, &outputVal2);
            EXPECT_NEAR(input[i][0], outputVal1, floatFaultTolerance);
            EXPECT_NEAR(input[i][1], outputVal2, floatFaultTolerance);
        }
    }
    
    // Test the correctness of packUnorm4x8 and unpackUnorm4x8 functions.
    // For floats f1 to f4, unpackUnorm4x8(packUnorm4x8(f1, f2, f3, f4)) should be same as f1 to f4.
    TEST(MathUtilTest, packAndUnpackUnorm4x8)
    {
        const float input[5][4] = {{0.0f, 0.0f, 0.0f, 0.0f},
                                   {1.0f, 1.0f, 1.0f, 1.0f},
                                   {-1.0f, 1.0f, -1.0f, 1.0f},
                                   {-1.0f, -1.0f, -1.0f, -1.0f},
                                   {64.0f / 255.0f, 128.0f / 255.0f, 32.0f / 255.0f, 16.0f / 255.0f}};
    
        const float floatFaultTolerance = 0.005f;
        float outputVals[4];
    
        for (size_t i = 0; i < 5; i++)
        {
            UnpackUnorm4x8(PackUnorm4x8(input[i][0], input[i][1], input[i][2], input[i][3]),
                           outputVals);
            for (size_t j = 0; j < 4; j++)
            {
                float expected = input[i][j] < 0.0f ? 0.0f : input[i][j];
                EXPECT_NEAR(expected, outputVals[j], floatFaultTolerance);
            }
        }
    }
    
    // Test the correctness of packSnorm4x8 and unpackSnorm4x8 functions.
    // For floats f1 to f4, unpackSnorm4x8(packSnorm4x8(f1, f2, f3, f4)) should be same as f1 to f4.
    TEST(MathUtilTest, packAndUnpackSnorm4x8)
    {
        const float input[5][4] = {{0.0f, 0.0f, 0.0f, 0.0f},
                                   {1.0f, 1.0f, 1.0f, 1.0f},
                                   {-1.0f, 1.0f, -1.0f, 1.0f},
                                   {-1.0f, -1.0f, -1.0f, -1.0f},
                                   {64.0f / 127.0f, -8.0f / 127.0f, 32.0f / 127.0f, 16.0f / 127.0f}};
    
        const float floatFaultTolerance = 0.01f;
        float outputVals[4];
    
        for (size_t i = 0; i < 5; i++)
        {
            UnpackSnorm4x8(PackSnorm4x8(input[i][0], input[i][1], input[i][2], input[i][3]),
                           outputVals);
            for (size_t j = 0; j < 4; j++)
            {
                float expected = input[i][j];
                EXPECT_NEAR(expected, outputVals[j], floatFaultTolerance);
            }
        }
    }
    
    // Test the correctness of gl::isNaN function.
    TEST(MathUtilTest, isNaN)
    {
        EXPECT_TRUE(isNaN(bitCast<float>(0xffu << 23 | 1u)));
        EXPECT_TRUE(isNaN(bitCast<float>(1u << 31 | 0xffu << 23 | 1u)));
        EXPECT_TRUE(isNaN(bitCast<float>(1u << 31 | 0xffu << 23 | 0x400000u)));
        EXPECT_TRUE(isNaN(bitCast<float>(1u << 31 | 0xffu << 23 | 0x7fffffu)));
        EXPECT_FALSE(isNaN(0.0f));
        EXPECT_FALSE(isNaN(bitCast<float>(1u << 31 | 0xffu << 23)));
        EXPECT_FALSE(isNaN(bitCast<float>(0xffu << 23)));
    }
    
    // Test the correctness of gl::isInf function.
    TEST(MathUtilTest, isInf)
    {
        EXPECT_TRUE(isInf(bitCast<float>(0xffu << 23)));
        EXPECT_TRUE(isInf(bitCast<float>(1u << 31 | 0xffu << 23)));
        EXPECT_FALSE(isInf(0.0f));
        EXPECT_FALSE(isInf(bitCast<float>(0xffu << 23 | 1u)));
        EXPECT_FALSE(isInf(bitCast<float>(1u << 31 | 0xffu << 23 | 1u)));
        EXPECT_FALSE(isInf(bitCast<float>(1u << 31 | 0xffu << 23 | 0x400000u)));
        EXPECT_FALSE(isInf(bitCast<float>(1u << 31 | 0xffu << 23 | 0x7fffffu)));
        EXPECT_FALSE(isInf(bitCast<float>(0xfeu << 23 | 0x7fffffu)));
        EXPECT_FALSE(isInf(bitCast<float>(1u << 31 | 0xfeu << 23 | 0x7fffffu)));
    }
    
    TEST(MathUtilTest, CountLeadingZeros)
    {
        for (unsigned int i = 0; i < 32u; ++i)
        {
            uint32_t iLeadingZeros = 1u << (31u - i);
            EXPECT_EQ(i, CountLeadingZeros(iLeadingZeros));
        }
        EXPECT_EQ(32u, CountLeadingZeros(0));
    }
    
    // Some basic tests. Pow2 roundUp test and test that rounding up zero produces zero.
    TEST(MathUtilTest, Pow2RoundUp)
    {
        EXPECT_EQ(0u, rx::roundUpPow2(0u, 4u));
        EXPECT_EQ(4u, rx::roundUpPow2(1u, 4u));
        EXPECT_EQ(4u, rx::roundUpPow2(4u, 4u));
    }
    
    // Non-pow2 test.
    TEST(MathUtilTest, BasicRoundUp)
    {
        EXPECT_EQ(0u, rx::roundUp(0u, 5u));
        EXPECT_EQ(5u, rx::roundUp(1u, 5u));
        EXPECT_EQ(5u, rx::roundUp(4u, 5u));
        EXPECT_EQ(5u, rx::roundUp(5u, 5u));
    }
    
    // Test that rounding up zero produces zero for checked ints.
    TEST(MathUtilTest, CheckedRoundUpZero)
    {
        auto checkedValue = rx::CheckedRoundUp(0u, 4u);
        ASSERT_TRUE(checkedValue.IsValid());
        ASSERT_EQ(0u, checkedValue.ValueOrDie());
    }
    
    // Test out-of-bounds with CheckedRoundUp
    TEST(MathUtilTest, CheckedRoundUpInvalid)
    {
        // The answer to this query is out of bounds.
        auto limit        = std::numeric_limits<unsigned int>::max();
        auto checkedValue = rx::CheckedRoundUp(limit, limit - 1);
        ASSERT_FALSE(checkedValue.IsValid());
    
        // Our implementation can't handle this query, despite the parameters being in range.
        auto checkedLimit = rx::CheckedRoundUp(limit - 1, limit);
        ASSERT_FALSE(checkedLimit.IsValid());
    }
    
    // Test BitfieldReverse which reverses the order of the bits in an integer.
    TEST(MathUtilTest, BitfieldReverse)
    {
        EXPECT_EQ(0u, gl::BitfieldReverse(0u));
        EXPECT_EQ(0x80000000u, gl::BitfieldReverse(1u));
        EXPECT_EQ(0x1u, gl::BitfieldReverse(0x80000000u));
        uint32_t bits     = (1u << 4u) | (1u << 7u);
        uint32_t reversed = (1u << (31u - 4u)) | (1u << (31u - 7u));
        EXPECT_EQ(reversed, gl::BitfieldReverse(bits));
    }
    
    // Test BitCount, which counts 1 bits in an integer.
    TEST(MathUtilTest, BitCount)
    {
        EXPECT_EQ(0, gl::BitCount(0u));
        EXPECT_EQ(32, gl::BitCount(0xFFFFFFFFu));
        EXPECT_EQ(10, gl::BitCount(0x17103121u));
    
        EXPECT_EQ(0, gl::BitCount(static_cast<uint64_t>(0ull)));
        EXPECT_EQ(32, gl::BitCount(static_cast<uint64_t>(0xFFFFFFFFull)));
        EXPECT_EQ(10, gl::BitCount(static_cast<uint64_t>(0x17103121ull)));
    
        EXPECT_EQ(33, gl::BitCount(static_cast<uint64_t>(0xFFFFFFFF80000000ull)));
        EXPECT_EQ(11, gl::BitCount(static_cast<uint64_t>(0x1710312180000000ull)));
    }
    
    // Test ScanForward, which scans for the least significant 1 bit from a non-zero integer.
    TEST(MathUtilTest, ScanForward)
    {
        EXPECT_EQ(0ul, gl::ScanForward(1u));
        EXPECT_EQ(16ul, gl::ScanForward(0x80010000u));
        EXPECT_EQ(31ul, gl::ScanForward(0x80000000u));
    
        EXPECT_EQ(0ul, gl::ScanForward(static_cast<uint64_t>(1ull)));
        EXPECT_EQ(16ul, gl::ScanForward(static_cast<uint64_t>(0x80010000ull)));
        EXPECT_EQ(31ul, gl::ScanForward(static_cast<uint64_t>(0x80000000ull)));
    
        EXPECT_EQ(32ul, gl::ScanForward(static_cast<uint64_t>(0x100000000ull)));
        EXPECT_EQ(48ul, gl::ScanForward(static_cast<uint64_t>(0x8001000000000000ull)));
        EXPECT_EQ(63ul, gl::ScanForward(static_cast<uint64_t>(0x8000000000000000ull)));
    }
    
    // Test ScanReverse, which scans for the most significant 1 bit from a non-zero integer.
    TEST(MathUtilTest, ScanReverse)
    {
        EXPECT_EQ(0ul, gl::ScanReverse(1ul));
        EXPECT_EQ(16ul, gl::ScanReverse(0x00010030ul));
        EXPECT_EQ(31ul, gl::ScanReverse(0x80000000ul));
    }
    
    // Test FindLSB, which finds the least significant 1 bit.
    TEST(MathUtilTest, FindLSB)
    {
        EXPECT_EQ(-1, gl::FindLSB(0u));
        EXPECT_EQ(0, gl::FindLSB(1u));
        EXPECT_EQ(16, gl::FindLSB(0x80010000u));
        EXPECT_EQ(31, gl::FindLSB(0x80000000u));
    }
    
    // Test FindMSB, which finds the most significant 1 bit.
    TEST(MathUtilTest, FindMSB)
    {
        EXPECT_EQ(-1, gl::FindMSB(0u));
        EXPECT_EQ(0, gl::FindMSB(1u));
        EXPECT_EQ(16, gl::FindMSB(0x00010030u));
        EXPECT_EQ(31, gl::FindMSB(0x80000000u));
    }
    
    // Test Ldexp, which combines mantissa and exponent into a floating-point number.
    TEST(MathUtilTest, Ldexp)
    {
        EXPECT_EQ(2.5f, Ldexp(0.625f, 2));
        EXPECT_EQ(-5.0f, Ldexp(-0.625f, 3));
        EXPECT_EQ(std::numeric_limits<float>::infinity(), Ldexp(0.625f, 129));
        EXPECT_EQ(0.0f, Ldexp(1.0f, -129));
    }
    
    // Test that Range::extend works as expected.
    TEST(MathUtilTest, RangeExtend)
    {
        RangeI range(0, 0);
    
        range.extend(5);
        EXPECT_EQ(0, range.low());
        EXPECT_EQ(6, range.high());
        EXPECT_EQ(6, range.length());
    
        range.extend(-1);
        EXPECT_EQ(-1, range.low());
        EXPECT_EQ(6, range.high());
        EXPECT_EQ(7, range.length());
    
        range.extend(10);
        EXPECT_EQ(-1, range.low());
        EXPECT_EQ(11, range.high());
        EXPECT_EQ(12, range.length());
    }
    
    // Test that Range iteration works as expected.
    TEST(MathUtilTest, RangeIteration)
    {
        RangeI range(0, 10);
        int expected = 0;
        for (int value : range)
        {
            EXPECT_EQ(expected, value);
            expected++;
        }
        EXPECT_EQ(range.length(), expected);
    }
    
    // Tests for float32 to float16 conversion
    TEST(MathUtilTest, Float32ToFloat16)
    {
        ASSERT_EQ(float32ToFloat16(0.0f), 0x0000);
        ASSERT_EQ(float32ToFloat16(-0.0f), 0x8000);
    
        float inf = std::numeric_limits<float>::infinity();
    
        ASSERT_EQ(float32ToFloat16(inf), 0x7C00);
        ASSERT_EQ(float32ToFloat16(-inf), 0xFC00);
    
        // Check that NaN is converted to a value in one of the float16 NaN ranges
        float nan      = std::numeric_limits<float>::quiet_NaN();
        uint16_t nan16 = float32ToFloat16(nan);
        ASSERT_TRUE(nan16 > 0xFC00 || (nan16 < 0x8000 && nan16 > 0x7C00));
    
        ASSERT_EQ(float32ToFloat16(1.0f), 0x3C00);
    }
    
    }  // anonymous namespace