95 lines
4 KiB
C++
95 lines
4 KiB
C++
/* This file is part of the dynarmic project.
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* Copyright (c) 2018 MerryMage
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* SPDX-License-Identifier: 0BSD
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*/
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#include <tuple>
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#include <vector>
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#include <catch.hpp>
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#include "../rand_int.h"
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#include "dynarmic/common/common_types.h"
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#include "dynarmic/common/fp/fpcr.h"
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#include "dynarmic/common/fp/fpsr.h"
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#include "dynarmic/common/fp/unpacked.h"
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using namespace Dynarmic;
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using namespace Dynarmic::FP;
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TEST_CASE("FPUnpack Tests", "[fp]") {
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const static std::vector<std::tuple<u32, std::tuple<FPType, bool, FPUnpacked>, u32>> test_cases {
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{0x00000000, {FPType::Zero, false, ToNormalized(false, 0, 0)}, 0},
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{0x7F800000, {FPType::Infinity, false, ToNormalized(false, 1000000, 1)}, 0},
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{0xFF800000, {FPType::Infinity, true, ToNormalized(true, 1000000, 1)}, 0},
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{0x7F800001, {FPType::SNaN, false, ToNormalized(false, 0, 0)}, 0},
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{0xFF800001, {FPType::SNaN, true, ToNormalized(true, 0, 0)}, 0},
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{0x7FC00001, {FPType::QNaN, false, ToNormalized(false, 0, 0)}, 0},
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{0xFFC00001, {FPType::QNaN, true, ToNormalized(true, 0, 0)}, 0},
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{0x00000001, {FPType::Nonzero, false, ToNormalized(false, -149, 1)}, 0}, // Smallest single precision denormal is 2^-149.
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{0x3F7FFFFF, {FPType::Nonzero, false, ToNormalized(false, -24, 0xFFFFFF)}, 0}, // 1.0 - epsilon
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};
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const FPCR fpcr;
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for (const auto& [input, expected_output, expected_fpsr] : test_cases) {
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FPSR fpsr;
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const auto output = FPUnpack<u32>(input, fpcr, fpsr);
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INFO("Input: " << std::hex << input);
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INFO("Output Sign: " << std::get<2>(output).sign);
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INFO("Output Exponent: " << std::get<2>(output).exponent);
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INFO("Output Mantissa: " << std::hex << std::get<2>(output).mantissa);
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INFO("Expected Sign: " << std::get<2>(expected_output).sign);
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INFO("Expected Exponent: " << std::get<2>(expected_output).exponent);
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INFO("Expected Mantissa: " << std::hex << std::get<2>(expected_output).mantissa);
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REQUIRE(output == expected_output);
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REQUIRE(fpsr.Value() == expected_fpsr);
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}
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}
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TEST_CASE("FPRound Tests", "[fp]") {
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const static std::vector<std::tuple<u32, std::tuple<FPType, bool, FPUnpacked>, u32>> test_cases {
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{0x7F800000, {FPType::Infinity, false, ToNormalized(false, 1000000, 1)}, 0x14},
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{0xFF800000, {FPType::Infinity, true, ToNormalized(true, 1000000, 1)}, 0x14},
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{0x00000001, {FPType::Nonzero, false, ToNormalized(false, -149, 1)}, 0}, // Smallest single precision denormal is 2^-149.
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{0x3F7FFFFF, {FPType::Nonzero, false, ToNormalized(false, -24, 0xFFFFFF)}, 0}, // 1.0 - epsilon
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{0x3F800000, {FPType::Nonzero, false, ToNormalized(false, -28, 0xFFFFFFF)}, 0x10}, // rounds to 1.0
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};
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const FPCR fpcr;
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for (const auto& [expected_output, input, expected_fpsr] : test_cases) {
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FPSR fpsr;
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const auto output = FPRound<u32>(std::get<2>(input), fpcr, fpsr);
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INFO("Expected Output: " << std::hex << expected_output);
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REQUIRE(output == expected_output);
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REQUIRE(fpsr.Value() == expected_fpsr);
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}
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}
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TEST_CASE("FPUnpack<->FPRound Round-trip Tests", "[fp]") {
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const FPCR fpcr;
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for (size_t count = 0; count < 100000; count++) {
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FPSR fpsr;
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const u32 input = RandInt(0, 1) == 0 ? RandInt<u32>(0x00000001, 0x7F800000) : RandInt<u32>(0x80000001, 0xFF800000);
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const auto intermediate = std::get<2>(FPUnpack<u32>(input, fpcr, fpsr));
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const u32 output = FPRound<u32>(intermediate, fpcr, fpsr);
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INFO("Count: " << count);
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INFO("Intermediate Values: " << std::hex << intermediate.sign << ';' << intermediate.exponent << ';' << intermediate.mantissa);
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REQUIRE(input == output);
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}
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}
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TEST_CASE("FPRound (near zero, round to posinf)", "[fp]") {
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const FPUnpacked input = {false, -353, 0x0a98d25ace5b2000};
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FPSR fpsr;
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FPCR fpcr;
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fpcr.RMode(RoundingMode::TowardsPlusInfinity);
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const u32 output = FPRound<u32>(input, fpcr, fpsr);
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REQUIRE(output == 0x00000001);
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}
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