| //===----------------------------------------------------------------------===// | |
| // | |
| // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. | |
| // See https://llvm.org/LICENSE.txt for license information. | |
| // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception | |
| // | |
| //===----------------------------------------------------------------------===// | |
| /// | |
| /// \file | |
| /// This file contains unit tests for single-precision SIMD log1p. | |
| /// | |
| //===----------------------------------------------------------------------===// | |
| #include "hdr/math_macros.h" | |
| #include "src/__support/CPP/simd.h" | |
| #include "src/__support/FPUtil/FPBits.h" | |
| #include "src/math/log1pf.h" | |
| #include "src/mathvec/log1pf.h" | |
| #include "test/UnitTest/SIMDMatcher.h" | |
| #include "test/UnitTest/Test.h" | |
| #include "test/src/mathvec/UnitTestWrappers.h" | |
| #include "hdr/stdint_proxy.h" | |
| using LlvmLibcVecLog1pfTest = LIBC_NAMESPACE::testing::FPTest<float>; | |
| using Log1pfOp = | |
| LIBC_NAMESPACE::testing::mathvec::UnaryOp<float, LIBC_NAMESPACE::log1pf, | |
| LIBC_NAMESPACE::log1pf>; | |
| using LIBC_NAMESPACE::cpp::splat; | |
| using LIBC_NAMESPACE::testing::mathvec::wrap_ref; | |
| using LIBC_NAMESPACE::testing::mathvec::wrap_vector; | |
| TEST_F(LlvmLibcVecLog1pfTest, SpecialNumbers) { | |
| EXPECT_SIMD_EQ(splat(inf), wrap_vector<Log1pfOp>(inf)); | |
| EXPECT_SIMD_EQ(splat(aNaN), wrap_vector<Log1pfOp>(neg_inf)); | |
| EXPECT_SIMD_EQ(splat(aNaN), wrap_vector<Log1pfOp>(aNaN)); | |
| EXPECT_SIMD_EQ(splat(0.0f), wrap_vector<Log1pfOp>(0.0f)); | |
| EXPECT_SIMD_EQ(splat(neg_inf), wrap_vector<Log1pfOp>(-1.0f)); | |
| EXPECT_SIMD_EQ(splat(aNaN), wrap_vector<Log1pfOp>(-2.0f)); | |
| } | |
| TEST_F(LlvmLibcVecLog1pfTest, TrickyInputs) { | |
| constexpr int N = 28; | |
| constexpr uint32_t INPUTS[N] = { | |
| 0x35c00006U, /*0x1.80000cp-20f*/ | |
| 0x35400003U, /*0x1.800006p-21f*/ | |
| 0x3640000cU, /*0x1.800018p-19f*/ | |
| 0x36c00018U, /*0x1.80003p-18f*/ | |
| 0x3710001bU, /*0x1.200036p-17f*/ | |
| 0x37400030U, /*0x1.80006p-17f*/ | |
| 0x3770004bU, /*0x1.e00096p-17f*/ | |
| 0x3b9315c8U, /*0x1.262b9p-8f*/ | |
| 0x3c6eb7afU, /*0x1.dd6f5ep-7f*/ | |
| 0x3ddbfec3U, /*0x1.b7fd86p-4f*/ | |
| 0x3efd81adU, /*0x1.fb035ap-2f*/ | |
| 0x41078febU, /*0x1.0f1fd6p+3f*/ | |
| 0x4cc1c80bU, /*0x1.839016p+26f*/ | |
| 0x55185f82U, /*0x1.30bf04p+43f*/ | |
| 0x5cd69e88U, /*0x1.ad3d1p+58f*/ | |
| 0x5ee8984eU, /*0x1.d1309cp+62f*/ | |
| 0x65d890d3U, /*0x1.b121a6p+76f*/ | |
| 0x665e7ca6U, /*0x1.bcf94cp+77f*/ | |
| 0x6f31a8ecU, /*0x1.6351d8p+95f*/ | |
| 0x79e7ec37U, /*0x1.cfd86ep+116f*/ | |
| 0x7a17f30aU, /*0x1.2fe614p+117f*/ | |
| 0xb53ffffdU, /*-0x1.7ffffap-21f*/ | |
| 0xb70fffe5U, /*-0x1.1fffcap-17f*/ | |
| 0xbb0ec8c4U, /*-0x1.1d9188p-9f*/ | |
| 0xbc4d092cU, /*-0x1.9a1258p-7f*/ | |
| 0xbc657728U, /*-0x1.caee5p-7f*/ | |
| 0xbd1d20afU, /*-0x1.3a415ep-5f*/ | |
| 0xbf800000U, /*-1.0f*/ | |
| }; | |
| for (int i = 0; i < N; ++i) { | |
| float x = FPBits(INPUTS[i]).get_val(); | |
| EXPECT_SIMD_EQ(wrap_ref<Log1pfOp>(x, -x), wrap_vector<Log1pfOp>(x, -x)); | |
| } | |
| } | |
| TEST_F(LlvmLibcVecLog1pfTest, InFloatRange) { | |
| TEST_MATHVEC_FLOAT_RANGE(Log1pfOp); | |
| } |