| //===----------------------------------------------------------------------===// |
| // |
| // 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 log. |
| /// |
| //===----------------------------------------------------------------------===// |
| |
| #include "hdr/math_macros.h" |
| #include "src/__support/CPP/simd.h" |
| #include "src/__support/FPUtil/FPBits.h" |
| #include "src/math/logf.h" |
| #include "src/mathvec/logf.h" |
| #include "test/UnitTest/SIMDMatcher.h" |
| #include "test/UnitTest/Test.h" |
| #include "test/src/mathvec/UnitTestWrappers.h" |
| |
| #include "hdr/stdint_proxy.h" |
| |
| using LlvmLibcVecLogfTest = LIBC_NAMESPACE::testing::FPTest<float>; |
| |
| using LogfOp = |
| LIBC_NAMESPACE::testing::mathvec::UnaryOp<float, LIBC_NAMESPACE::logf, |
| LIBC_NAMESPACE::logf>; |
| using LIBC_NAMESPACE::cpp::splat; |
| using LIBC_NAMESPACE::testing::mathvec::wrap_ref; |
| using LIBC_NAMESPACE::testing::mathvec::wrap_vector; |
| |
| TEST_F(LlvmLibcVecLogfTest, SpecialNumbers) { |
| EXPECT_SIMD_EQ(splat(inf), wrap_vector<LogfOp>(inf)); |
| |
| EXPECT_SIMD_EQ(splat(aNaN), wrap_vector<LogfOp>(neg_inf)); |
| |
| EXPECT_SIMD_EQ(splat(aNaN), wrap_vector<LogfOp>(aNaN)); |
| |
| EXPECT_SIMD_EQ(splat(neg_inf), wrap_vector<LogfOp>(0.0f)); |
| |
| EXPECT_SIMD_EQ(splat(0.0f), wrap_vector<LogfOp>(1.0f)); |
| } |
| |
| TEST_F(LlvmLibcVecLogfTest, TrickyInputs) { |
| constexpr int N = 35; |
| constexpr uint32_t INPUTS[N] = { |
| 0x1b7679ffU, /*0x1.ecf3fep-73f*/ |
| 0x1e88452dU, /*0x1.108a5ap-66f*/ |
| 0x3f800001U, /*0x1.000002p+0f*/ |
| 0x3509dcf6U, /*0x1.13b9ecp-21f*/ |
| 0x3bf86ef0U, /*0x1.f0ddep-8f*/ |
| 0x3c413d3aU, /*0x1.827a74p-7f*/ |
| 0x3ca1c99fU, /*0x1.43933ep-6f*/ |
| 0x3d13e105U, /*0x1.27c20ap-5f*/ |
| 0x3f7ff1f2U, /*0x1.ffe3e4p-1f*/ |
| 0x3f7fffffU, /*0x1.fffffep-1f*/ |
| 0x3f800001U, /*0x1.000002p+0f*/ |
| 0x3f800006U, /*0x1.00000cp+0f*/ |
| 0x3f800014U, /*0x1.000028p+0f*/ |
| 0x3f80001cU, /*0x1.000038p+0f*/ |
| 0x3f80c777U, /*0x1.018eeep+0f*/ |
| 0x3f80ce72U, /*0x1.019ce4p+0f*/ |
| 0x3f80d19fU, /*0x1.01a33ep+0f*/ |
| 0x3f80f7bfU, /*0x1.01ef7ep+0f*/ |
| 0x3f80fcfeU, /*0x1.01f9fcp+0f*/ |
| 0x3f81feb4U, /*0x1.03fd68p+0f*/ |
| 0x3f83d731U, /*0x1.07ae62p+0f*/ |
| 0x3f90cb1dU, /*0x1.21963ap+0f*/ |
| 0x3fc55379U, /*0x1.8aa6f2p+0f*/ |
| 0x3fd364d7U, /*0x1.a6c9aep+0f*/ |
| 0x41178febU, /*0x1.2f1fd6p+3f*/ |
| 0x4c5d65a5U, /*0x1.bacb4ap+25f*/ |
| 0x4e85f412U, /*0x1.0be824p+30f*/ |
| 0x500ffb03U, /*0x1.1ff606p+33f*/ |
| 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*/ |
| }; |
| |
| for (int i = 0; i < N; ++i) { |
| float x = FPBits(INPUTS[i]).get_val(); |
| EXPECT_SIMD_EQ(wrap_ref<LogfOp>(x, -x), wrap_vector<LogfOp>(x, -x)); |
| } |
| } |
| |
| TEST_F(LlvmLibcVecLogfTest, InFloatRange) { TEST_MATHVEC_FLOAT_RANGE(LogfOp); } |