| /* |
| * Copyright (c) 2017 The WebRTC 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 in the root of the source |
| * tree. An additional intellectual property rights grant can be found |
| * in the file PATENTS. All contributing project authors may |
| * be found in the AUTHORS file in the root of the source tree. |
| */ |
| |
| #include "modules/audio_processing/aec3/vector_math.h" |
| |
| #include <math.h> |
| |
| #include "rtc_base/system/arch.h" |
| #include "system_wrappers/include/cpu_features_wrapper.h" |
| #include "test/gtest.h" |
| |
| namespace webrtc { |
| |
| #if defined(WEBRTC_HAS_NEON) |
| |
| TEST(VectorMath, Sqrt) { |
| std::array<float, kFftLengthBy2Plus1> x; |
| std::array<float, kFftLengthBy2Plus1> z; |
| std::array<float, kFftLengthBy2Plus1> z_neon; |
| |
| for (size_t k = 0; k < x.size(); ++k) { |
| x[k] = (2.f / 3.f) * k; |
| } |
| |
| std::copy(x.begin(), x.end(), z.begin()); |
| aec3::VectorMath(Aec3Optimization::kNone).Sqrt(z); |
| std::copy(x.begin(), x.end(), z_neon.begin()); |
| aec3::VectorMath(Aec3Optimization::kNeon).Sqrt(z_neon); |
| for (size_t k = 0; k < z.size(); ++k) { |
| EXPECT_NEAR(z[k], z_neon[k], 0.0001f); |
| EXPECT_NEAR(sqrtf(x[k]), z_neon[k], 0.0001f); |
| } |
| } |
| |
| TEST(VectorMath, Multiply) { |
| std::array<float, kFftLengthBy2Plus1> x; |
| std::array<float, kFftLengthBy2Plus1> y; |
| std::array<float, kFftLengthBy2Plus1> z; |
| std::array<float, kFftLengthBy2Plus1> z_neon; |
| |
| for (size_t k = 0; k < x.size(); ++k) { |
| x[k] = k; |
| y[k] = (2.f / 3.f) * k; |
| } |
| |
| aec3::VectorMath(Aec3Optimization::kNone).Multiply(x, y, z); |
| aec3::VectorMath(Aec3Optimization::kNeon).Multiply(x, y, z_neon); |
| for (size_t k = 0; k < z.size(); ++k) { |
| EXPECT_FLOAT_EQ(z[k], z_neon[k]); |
| EXPECT_FLOAT_EQ(x[k] * y[k], z_neon[k]); |
| } |
| } |
| |
| TEST(VectorMath, Accumulate) { |
| std::array<float, kFftLengthBy2Plus1> x; |
| std::array<float, kFftLengthBy2Plus1> z; |
| std::array<float, kFftLengthBy2Plus1> z_neon; |
| |
| for (size_t k = 0; k < x.size(); ++k) { |
| x[k] = k; |
| z[k] = z_neon[k] = 2.f * k; |
| } |
| |
| aec3::VectorMath(Aec3Optimization::kNone).Accumulate(x, z); |
| aec3::VectorMath(Aec3Optimization::kNeon).Accumulate(x, z_neon); |
| for (size_t k = 0; k < z.size(); ++k) { |
| EXPECT_FLOAT_EQ(z[k], z_neon[k]); |
| EXPECT_FLOAT_EQ(x[k] + 2.f * x[k], z_neon[k]); |
| } |
| } |
| #endif |
| |
| #if defined(WEBRTC_ARCH_X86_FAMILY) |
| |
| TEST(VectorMath, Sse2Sqrt) { |
| if (GetCPUInfo(kSSE2) != 0) { |
| std::array<float, kFftLengthBy2Plus1> x; |
| std::array<float, kFftLengthBy2Plus1> z; |
| std::array<float, kFftLengthBy2Plus1> z_sse2; |
| |
| for (size_t k = 0; k < x.size(); ++k) { |
| x[k] = (2.f / 3.f) * k; |
| } |
| |
| std::copy(x.begin(), x.end(), z.begin()); |
| aec3::VectorMath(Aec3Optimization::kNone).Sqrt(z); |
| std::copy(x.begin(), x.end(), z_sse2.begin()); |
| aec3::VectorMath(Aec3Optimization::kSse2).Sqrt(z_sse2); |
| EXPECT_EQ(z, z_sse2); |
| for (size_t k = 0; k < z.size(); ++k) { |
| EXPECT_FLOAT_EQ(z[k], z_sse2[k]); |
| EXPECT_FLOAT_EQ(sqrtf(x[k]), z_sse2[k]); |
| } |
| } |
| } |
| |
| TEST(VectorMath, Avx2Sqrt) { |
| if (GetCPUInfo(kAVX2) != 0) { |
| std::array<float, kFftLengthBy2Plus1> x; |
| std::array<float, kFftLengthBy2Plus1> z; |
| std::array<float, kFftLengthBy2Plus1> z_avx2; |
| |
| for (size_t k = 0; k < x.size(); ++k) { |
| x[k] = (2.f / 3.f) * k; |
| } |
| |
| std::copy(x.begin(), x.end(), z.begin()); |
| aec3::VectorMath(Aec3Optimization::kNone).Sqrt(z); |
| std::copy(x.begin(), x.end(), z_avx2.begin()); |
| aec3::VectorMath(Aec3Optimization::kAvx2).Sqrt(z_avx2); |
| EXPECT_EQ(z, z_avx2); |
| for (size_t k = 0; k < z.size(); ++k) { |
| EXPECT_FLOAT_EQ(z[k], z_avx2[k]); |
| EXPECT_FLOAT_EQ(sqrtf(x[k]), z_avx2[k]); |
| } |
| } |
| } |
| |
| TEST(VectorMath, Sse2Multiply) { |
| if (GetCPUInfo(kSSE2) != 0) { |
| std::array<float, kFftLengthBy2Plus1> x; |
| std::array<float, kFftLengthBy2Plus1> y; |
| std::array<float, kFftLengthBy2Plus1> z; |
| std::array<float, kFftLengthBy2Plus1> z_sse2; |
| |
| for (size_t k = 0; k < x.size(); ++k) { |
| x[k] = k; |
| y[k] = (2.f / 3.f) * k; |
| } |
| |
| aec3::VectorMath(Aec3Optimization::kNone).Multiply(x, y, z); |
| aec3::VectorMath(Aec3Optimization::kSse2).Multiply(x, y, z_sse2); |
| for (size_t k = 0; k < z.size(); ++k) { |
| EXPECT_FLOAT_EQ(z[k], z_sse2[k]); |
| EXPECT_FLOAT_EQ(x[k] * y[k], z_sse2[k]); |
| } |
| } |
| } |
| |
| TEST(VectorMath, Avx2Multiply) { |
| if (GetCPUInfo(kAVX2) != 0) { |
| std::array<float, kFftLengthBy2Plus1> x; |
| std::array<float, kFftLengthBy2Plus1> y; |
| std::array<float, kFftLengthBy2Plus1> z; |
| std::array<float, kFftLengthBy2Plus1> z_avx2; |
| |
| for (size_t k = 0; k < x.size(); ++k) { |
| x[k] = k; |
| y[k] = (2.f / 3.f) * k; |
| } |
| |
| aec3::VectorMath(Aec3Optimization::kNone).Multiply(x, y, z); |
| aec3::VectorMath(Aec3Optimization::kAvx2).Multiply(x, y, z_avx2); |
| for (size_t k = 0; k < z.size(); ++k) { |
| EXPECT_FLOAT_EQ(z[k], z_avx2[k]); |
| EXPECT_FLOAT_EQ(x[k] * y[k], z_avx2[k]); |
| } |
| } |
| } |
| |
| TEST(VectorMath, Sse2Accumulate) { |
| if (GetCPUInfo(kSSE2) != 0) { |
| std::array<float, kFftLengthBy2Plus1> x; |
| std::array<float, kFftLengthBy2Plus1> z; |
| std::array<float, kFftLengthBy2Plus1> z_sse2; |
| |
| for (size_t k = 0; k < x.size(); ++k) { |
| x[k] = k; |
| z[k] = z_sse2[k] = 2.f * k; |
| } |
| |
| aec3::VectorMath(Aec3Optimization::kNone).Accumulate(x, z); |
| aec3::VectorMath(Aec3Optimization::kSse2).Accumulate(x, z_sse2); |
| for (size_t k = 0; k < z.size(); ++k) { |
| EXPECT_FLOAT_EQ(z[k], z_sse2[k]); |
| EXPECT_FLOAT_EQ(x[k] + 2.f * x[k], z_sse2[k]); |
| } |
| } |
| } |
| |
| TEST(VectorMath, Avx2Accumulate) { |
| if (GetCPUInfo(kAVX2) != 0) { |
| std::array<float, kFftLengthBy2Plus1> x; |
| std::array<float, kFftLengthBy2Plus1> z; |
| std::array<float, kFftLengthBy2Plus1> z_avx2; |
| |
| for (size_t k = 0; k < x.size(); ++k) { |
| x[k] = k; |
| z[k] = z_avx2[k] = 2.f * k; |
| } |
| |
| aec3::VectorMath(Aec3Optimization::kNone).Accumulate(x, z); |
| aec3::VectorMath(Aec3Optimization::kAvx2).Accumulate(x, z_avx2); |
| for (size_t k = 0; k < z.size(); ++k) { |
| EXPECT_FLOAT_EQ(z[k], z_avx2[k]); |
| EXPECT_FLOAT_EQ(x[k] + 2.f * x[k], z_avx2[k]); |
| } |
| } |
| } |
| #endif |
| |
| } // namespace webrtc |