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Diffstat (limited to 'unsupported/test/cxx11_tensor_uint128.cpp')
| -rw-r--r-- | unsupported/test/cxx11_tensor_uint128.cpp | 160 |
1 files changed, 160 insertions, 0 deletions
diff --git a/unsupported/test/cxx11_tensor_uint128.cpp b/unsupported/test/cxx11_tensor_uint128.cpp new file mode 100644 index 000000000..d2a1e8673 --- /dev/null +++ b/unsupported/test/cxx11_tensor_uint128.cpp @@ -0,0 +1,160 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2015 Benoit Steiner <benoit.steiner.goog@gmail.com> +// +// This Source Code Form is subject to the terms of the Mozilla +// Public License v. 2.0. If a copy of the MPL was not distributed +// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. + +#include "main.h" + +#include <Eigen/CXX11/Tensor> + + +#if EIGEN_COMP_MSVC +#define EIGEN_NO_INT128 +#else +typedef __uint128_t uint128_t; +#endif + +// Only run the test on compilers that support 128bit integers natively +#ifndef EIGEN_NO_INT128 + +using Eigen::internal::TensorUInt128; +using Eigen::internal::static_val; + +void VERIFY_EQUAL(TensorUInt128<uint64_t, uint64_t> actual, uint128_t expected) { + bool matchl = actual.lower() == static_cast<uint64_t>(expected); + bool matchh = actual.upper() == static_cast<uint64_t>(expected >> 64); + if (!matchl || !matchh) { + const char* testname = g_test_stack.back().c_str(); + std::cerr << "Test " << testname << " failed in " << __FILE__ + << " (" << __LINE__ << ")" + << std::endl; + abort(); + } +} + + +void test_add() { + uint64_t incr = internal::random<uint64_t>(1, 9999999999); + for (uint64_t i1 = 0; i1 < 100; ++i1) { + for (uint64_t i2 = 1; i2 < 100 * incr; i2 += incr) { + TensorUInt128<uint64_t, uint64_t> i(i1, i2); + uint128_t a = (static_cast<uint128_t>(i1) << 64) + static_cast<uint128_t>(i2); + for (uint64_t j1 = 0; j1 < 100; ++j1) { + for (uint64_t j2 = 1; j2 < 100 * incr; j2 += incr) { + TensorUInt128<uint64_t, uint64_t> j(j1, j2); + uint128_t b = (static_cast<uint128_t>(j1) << 64) + static_cast<uint128_t>(j2); + TensorUInt128<uint64_t, uint64_t> actual = i + j; + uint128_t expected = a + b; + VERIFY_EQUAL(actual, expected); + } + } + } + } +} + +void test_sub() { + uint64_t incr = internal::random<uint64_t>(1, 9999999999); + for (uint64_t i1 = 0; i1 < 100; ++i1) { + for (uint64_t i2 = 1; i2 < 100 * incr; i2 += incr) { + TensorUInt128<uint64_t, uint64_t> i(i1, i2); + uint128_t a = (static_cast<uint128_t>(i1) << 64) + static_cast<uint128_t>(i2); + for (uint64_t j1 = 0; j1 < 100; ++j1) { + for (uint64_t j2 = 1; j2 < 100 * incr; j2 += incr) { + TensorUInt128<uint64_t, uint64_t> j(j1, j2); + uint128_t b = (static_cast<uint128_t>(j1) << 64) + static_cast<uint128_t>(j2); + TensorUInt128<uint64_t, uint64_t> actual = i - j; + uint128_t expected = a - b; + VERIFY_EQUAL(actual, expected); + } + } + } + } +} + +void test_mul() { + uint64_t incr = internal::random<uint64_t>(1, 9999999999); + for (uint64_t i1 = 0; i1 < 100; ++i1) { + for (uint64_t i2 = 1; i2 < 100 * incr; i2 += incr) { + TensorUInt128<uint64_t, uint64_t> i(i1, i2); + uint128_t a = (static_cast<uint128_t>(i1) << 64) + static_cast<uint128_t>(i2); + for (uint64_t j1 = 0; j1 < 100; ++j1) { + for (uint64_t j2 = 1; j2 < 100 * incr; j2 += incr) { + TensorUInt128<uint64_t, uint64_t> j(j1, j2); + uint128_t b = (static_cast<uint128_t>(j1) << 64) + static_cast<uint128_t>(j2); + TensorUInt128<uint64_t, uint64_t> actual = i * j; + uint128_t expected = a * b; + VERIFY_EQUAL(actual, expected); + } + } + } + } +} + +void test_div() { + uint64_t incr = internal::random<uint64_t>(1, 9999999999); + for (uint64_t i1 = 0; i1 < 100; ++i1) { + for (uint64_t i2 = 1; i2 < 100 * incr; i2 += incr) { + TensorUInt128<uint64_t, uint64_t> i(i1, i2); + uint128_t a = (static_cast<uint128_t>(i1) << 64) + static_cast<uint128_t>(i2); + for (uint64_t j1 = 0; j1 < 100; ++j1) { + for (uint64_t j2 = 1; j2 < 100 * incr; j2 += incr) { + TensorUInt128<uint64_t, uint64_t> j(j1, j2); + uint128_t b = (static_cast<uint128_t>(j1) << 64) + static_cast<uint128_t>(j2); + TensorUInt128<uint64_t, uint64_t> actual = i / j; + uint128_t expected = a / b; + VERIFY_EQUAL(actual, expected); + } + } + } + } +} + +void test_misc1() { + uint64_t incr = internal::random<uint64_t>(1, 9999999999); + for (uint64_t i2 = 1; i2 < 100 * incr; i2 += incr) { + TensorUInt128<static_val<0>, uint64_t> i(0, i2); + uint128_t a = static_cast<uint128_t>(i2); + for (uint64_t j2 = 1; j2 < 100 * incr; j2 += incr) { + TensorUInt128<static_val<0>, uint64_t> j(0, j2); + uint128_t b = static_cast<uint128_t>(j2); + uint64_t actual = (i * j).upper(); + uint64_t expected = (a * b) >> 64; + VERIFY_IS_EQUAL(actual, expected); + } + } +} + +void test_misc2() { + int64_t incr = internal::random<int64_t>(1, 100); + for (int64_t log_div = 0; log_div < 63; ++log_div) { + for (int64_t divider = 1; divider <= 1000000 * incr; divider += incr) { + uint64_t expected = (static_cast<uint128_t>(1) << (64+log_div)) / static_cast<uint128_t>(divider) - (static_cast<uint128_t>(1) << 64) + 1; + uint64_t shift = 1ULL << log_div; + + TensorUInt128<uint64_t, uint64_t> result = (TensorUInt128<uint64_t, static_val<0> >(shift, 0) / TensorUInt128<static_val<0>, uint64_t>(divider) - TensorUInt128<static_val<1>, static_val<0> >(1, 0) + TensorUInt128<static_val<0>, static_val<1> >(1)); + uint64_t actual = static_cast<uint64_t>(result); + VERIFY_IS_EQUAL(actual, expected); + } + } +} +#endif + + +void test_cxx11_tensor_uint128() +{ +#ifdef EIGEN_NO_INT128 + // Skip the test on compilers that don't support 128bit integers natively + return; +#else + CALL_SUBTEST_1(test_add()); + CALL_SUBTEST_2(test_sub()); + CALL_SUBTEST_3(test_mul()); + CALL_SUBTEST_4(test_div()); + CALL_SUBTEST_5(test_misc1()); + CALL_SUBTEST_6(test_misc2()); +#endif +} |