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Unified Diff: media/base/vector_math_unittest.cc

Issue 2556993002: Experiment with AVX optimizations for FMAC, FMUL operations.
Patch Set: Created 4 years ago
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Index: media/base/vector_math_unittest.cc
diff --git a/media/base/vector_math_unittest.cc b/media/base/vector_math_unittest.cc
index 3fcb3fad494f000efcdea5c8a659b1f3f0db0c0f..34aad14bd7df237e9f16e07ee6fa9febd735a800 100644
--- a/media/base/vector_math_unittest.cc
+++ b/media/base/vector_math_unittest.cc
@@ -8,13 +8,16 @@
#include <memory>
+#include "base/bind.h"
#include "base/macros.h"
#include "base/memory/aligned_memory.h"
#include "base/strings/string_number_conversions.h"
#include "base/strings/stringize_macros.h"
#include "build/build_config.h"
+#include "media/base/sinc_resampler.h"
#include "media/base/vector_math.h"
#include "media/base/vector_math_testing.h"
+#include "testing/gmock/include/gmock/gmock.h"
#include "testing/gtest/include/gtest/gtest.h"
using std::fill;
@@ -27,9 +30,14 @@ static const float kInputFillValue = 1.0;
static const float kOutputFillValue = 3.0;
static const int kVectorSize = 8192;
-class VectorMathTest : public testing::Test {
+// Helper class to ensure ChunkedResample() functions properly.
+class MockSource {
public:
+ MOCK_METHOD2(ProvideInput, void(int frames, float* destination));
+};
+class VectorMathTest : public testing::Test {
+ public:
VectorMathTest() {
// Initialize input and output vectors.
input_vector_.reset(static_cast<float*>(base::AlignedAlloc(
@@ -63,16 +71,16 @@ TEST_F(VectorMathTest, FMAC) {
{
SCOPED_TRACE("FMAC");
FillTestVectors(kInputFillValue, kOutputFillValue);
- vector_math::FMAC(
- input_vector_.get(), kScale, kVectorSize, output_vector_.get());
+ vector_math::FMAC(input_vector_.get(), kScale, kVectorSize,
+ output_vector_.get());
VerifyOutput(kResult);
}
{
SCOPED_TRACE("FMAC_C");
FillTestVectors(kInputFillValue, kOutputFillValue);
- vector_math::FMAC_C(
- input_vector_.get(), kScale, kVectorSize, output_vector_.get());
+ vector_math::FMAC_C(input_vector_.get(), kScale, kVectorSize,
+ output_vector_.get());
VerifyOutput(kResult);
}
@@ -80,8 +88,8 @@ TEST_F(VectorMathTest, FMAC) {
{
SCOPED_TRACE("FMAC_SSE");
FillTestVectors(kInputFillValue, kOutputFillValue);
- vector_math::FMAC_SSE(
- input_vector_.get(), kScale, kVectorSize, output_vector_.get());
+ vector_math::FMAC_SSE(input_vector_.get(), kScale, kVectorSize,
+ output_vector_.get());
VerifyOutput(kResult);
}
#endif
@@ -90,8 +98,8 @@ TEST_F(VectorMathTest, FMAC) {
{
SCOPED_TRACE("FMAC_NEON");
FillTestVectors(kInputFillValue, kOutputFillValue);
- vector_math::FMAC_NEON(
- input_vector_.get(), kScale, kVectorSize, output_vector_.get());
+ vector_math::FMAC_NEON(input_vector_.get(), kScale, kVectorSize,
+ output_vector_.get());
VerifyOutput(kResult);
}
#endif
@@ -104,16 +112,16 @@ TEST_F(VectorMathTest, FMUL) {
{
SCOPED_TRACE("FMUL");
FillTestVectors(kInputFillValue, kOutputFillValue);
- vector_math::FMUL(
- input_vector_.get(), kScale, kVectorSize, output_vector_.get());
+ vector_math::FMUL(input_vector_.get(), kScale, kVectorSize,
+ output_vector_.get());
VerifyOutput(kResult);
}
{
SCOPED_TRACE("FMUL_C");
FillTestVectors(kInputFillValue, kOutputFillValue);
- vector_math::FMUL_C(
- input_vector_.get(), kScale, kVectorSize, output_vector_.get());
+ vector_math::FMUL_C(input_vector_.get(), kScale, kVectorSize,
+ output_vector_.get());
VerifyOutput(kResult);
}
@@ -121,8 +129,8 @@ TEST_F(VectorMathTest, FMUL) {
{
SCOPED_TRACE("FMUL_SSE");
FillTestVectors(kInputFillValue, kOutputFillValue);
- vector_math::FMUL_SSE(
- input_vector_.get(), kScale, kVectorSize, output_vector_.get());
+ vector_math::FMUL_SSE(input_vector_.get(), kScale, kVectorSize,
+ output_vector_.get());
VerifyOutput(kResult);
}
#endif
@@ -131,32 +139,71 @@ TEST_F(VectorMathTest, FMUL) {
{
SCOPED_TRACE("FMUL_NEON");
FillTestVectors(kInputFillValue, kOutputFillValue);
- vector_math::FMUL_NEON(
- input_vector_.get(), kScale, kVectorSize, output_vector_.get());
+ vector_math::FMUL_NEON(input_vector_.get(), kScale, kVectorSize,
+ output_vector_.get());
VerifyOutput(kResult);
}
#endif
}
-TEST_F(VectorMathTest, Crossfade) {
- FillTestVectors(0, 1);
- vector_math::Crossfade(
- input_vector_.get(), kVectorSize, output_vector_.get());
- for (int i = 0; i < kVectorSize; ++i) {
- ASSERT_FLOAT_EQ(i / static_cast<float>(kVectorSize), output_vector_[i])
- << "i=" << i;
- }
+// Define platform independent function name for Convolve* tests.
+#if defined(ARCH_CPU_X86_FAMILY)
+#define CONVOLVE_FUNC Convolve_SSE
+#elif defined(ARCH_CPU_ARM_FAMILY) && defined(USE_NEON)
+#define CONVOLVE_FUNC Convolve_NEON
+#endif
+
+// Ensure various optimized Convolve() methods return the same value. Only run
+// this test if other optimized methods exist, otherwise the default Convolve()
+// will be tested by the parameterized SincResampler tests below.
+#if defined(CONVOLVE_FUNC)
+static const double kKernelInterpolationFactor = 0.5;
+
+TEST_F(VectorMathTest, Convolve) {
+ // Initialize a dummy resampler.
+ MockSource mock_source;
+ SincResampler resampler(
+ 192000.0 / 44100.0, SincResampler::kDefaultRequestSize,
+ base::Bind(&MockSource::ProvideInput, base::Unretained(&mock_source)));
+
+ // The optimized Convolve methods are slightly more precise than Convolve_C(),
+ // so comparison must be done using an epsilon.
+ static const double kEpsilon = 0.00000005;
+
+ // Use a kernel from SincResampler as input and kernel data, this has the
+ // benefit of already being properly sized and aligned for Convolve_SSE().
+ double result = vector_math::Convolve_C(
+ resampler.get_kernel_for_testing(), resampler.get_kernel_for_testing(),
+ resampler.get_kernel_for_testing(), kKernelInterpolationFactor);
+ double result2 = vector_math::CONVOLVE_FUNC(
+ resampler.get_kernel_for_testing(), resampler.get_kernel_for_testing(),
+ resampler.get_kernel_for_testing(), kKernelInterpolationFactor);
+ EXPECT_NEAR(result2, result, kEpsilon);
+
+ // Test Convolve() w/ unaligned input pointer.
+ result = vector_math::Convolve_C(resampler.get_kernel_for_testing() + 1,
+ resampler.get_kernel_for_testing(),
+ resampler.get_kernel_for_testing(),
+ kKernelInterpolationFactor);
+ result2 = vector_math::CONVOLVE_FUNC(resampler.get_kernel_for_testing() + 1,
+ resampler.get_kernel_for_testing(),
+ resampler.get_kernel_for_testing(),
+ kKernelInterpolationFactor);
+ EXPECT_NEAR(result2, result, kEpsilon);
}
+#endif
class EWMATestScenario {
public:
- EWMATestScenario(float initial_value, const float src[], int len,
+ EWMATestScenario(float initial_value,
+ const float src[],
+ int len,
float smoothing_factor)
: initial_value_(initial_value),
data_(static_cast<float*>(
- len == 0 ? NULL :
- base::AlignedAlloc(len * sizeof(float),
- vector_math::kRequiredAlignment))),
+ len == 0 ? NULL
+ : base::AlignedAlloc(len * sizeof(float),
+ vector_math::kRequiredAlignment))),
data_len_(len),
smoothing_factor_(smoothing_factor),
expected_final_avg_(initial_value),
@@ -173,9 +220,8 @@ class EWMATestScenario {
if (other.data_len_ == 0) {
this->data_.reset();
} else {
- this->data_.reset(static_cast<float*>(
- base::AlignedAlloc(other.data_len_ * sizeof(float),
- vector_math::kRequiredAlignment)));
+ this->data_.reset(static_cast<float*>(base::AlignedAlloc(
+ other.data_len_ * sizeof(float), vector_math::kRequiredAlignment)));
memcpy(this->data_.get(), other.data_.get(),
other.data_len_ * sizeof(float));
}
@@ -262,129 +308,125 @@ TEST_P(VectorMathEWMAAndMaxPowerTest, Correctness) {
}
static const float kZeros[] = { // 32 zeros
- 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
- 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-};
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
static const float kOnes[] = { // 32 ones
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
-};
+ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
+ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
static const float kCheckerboard[] = { // 32 alternating 0, 1
- 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1,
- 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1
-};
+ 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1,
+ 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1};
static const float kInverseCheckerboard[] = { // 32 alternating 1, 0
- 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0,
- 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0
-};
+ 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0,
+ 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0};
INSTANTIATE_TEST_CASE_P(
- Scenarios, VectorMathEWMAAndMaxPowerTest,
+ Scenarios,
+ VectorMathEWMAAndMaxPowerTest,
::testing::Values(
- // Zero-length input: Result should equal initial value.
- EWMATestScenario(0.0f, NULL, 0, 0.0f).HasExpectedResult(0.0f, 0.0f),
- EWMATestScenario(1.0f, NULL, 0, 0.0f).HasExpectedResult(1.0f, 0.0f),
-
- // Smoothing factor of zero: Samples have no effect on result.
- EWMATestScenario(0.0f, kOnes, 32, 0.0f).HasExpectedResult(0.0f, 1.0f),
- EWMATestScenario(1.0f, kZeros, 32, 0.0f).HasExpectedResult(1.0f, 0.0f),
-
- // Smothing factor of one: Result = last sample squared.
- EWMATestScenario(0.0f, kCheckerboard, 32, 1.0f)
- .ScaledBy(2.0f)
- .HasExpectedResult(4.0f, 4.0f),
- EWMATestScenario(1.0f, kInverseCheckerboard, 32, 1.0f)
- .ScaledBy(2.0f)
- .HasExpectedResult(0.0f, 4.0f),
-
- // Smoothing factor of 1/4, muted signal.
- EWMATestScenario(1.0f, kZeros, 1, 0.25f)
- .HasExpectedResult(powf(0.75, 1.0f), 0.0f),
- EWMATestScenario(1.0f, kZeros, 2, 0.25f)
- .HasExpectedResult(powf(0.75, 2.0f), 0.0f),
- EWMATestScenario(1.0f, kZeros, 3, 0.25f)
- .HasExpectedResult(powf(0.75, 3.0f), 0.0f),
- EWMATestScenario(1.0f, kZeros, 12, 0.25f)
- .HasExpectedResult(powf(0.75, 12.0f), 0.0f),
- EWMATestScenario(1.0f, kZeros, 13, 0.25f)
- .HasExpectedResult(powf(0.75, 13.0f), 0.0f),
- EWMATestScenario(1.0f, kZeros, 14, 0.25f)
- .HasExpectedResult(powf(0.75, 14.0f), 0.0f),
- EWMATestScenario(1.0f, kZeros, 15, 0.25f)
- .HasExpectedResult(powf(0.75, 15.0f), 0.0f),
-
- // Smoothing factor of 1/4, constant full-amplitude signal.
- EWMATestScenario(0.0f, kOnes, 1, 0.25f).HasExpectedResult(0.25f, 1.0f),
- EWMATestScenario(0.0f, kOnes, 2, 0.25f)
- .HasExpectedResult(0.4375f, 1.0f),
- EWMATestScenario(0.0f, kOnes, 3, 0.25f)
- .HasExpectedResult(0.578125f, 1.0f),
- EWMATestScenario(0.0f, kOnes, 12, 0.25f)
- .HasExpectedResult(0.96832365f, 1.0f),
- EWMATestScenario(0.0f, kOnes, 13, 0.25f)
- .HasExpectedResult(0.97624274f, 1.0f),
- EWMATestScenario(0.0f, kOnes, 14, 0.25f)
- .HasExpectedResult(0.98218205f, 1.0f),
- EWMATestScenario(0.0f, kOnes, 15, 0.25f)
- .HasExpectedResult(0.98663654f, 1.0f),
-
- // Smoothing factor of 1/4, checkerboard signal.
- EWMATestScenario(0.0f, kCheckerboard, 1, 0.25f)
- .HasExpectedResult(0.0f, 0.0f),
- EWMATestScenario(0.0f, kCheckerboard, 2, 0.25f)
- .HasExpectedResult(0.25f, 1.0f),
- EWMATestScenario(0.0f, kCheckerboard, 3, 0.25f)
- .HasExpectedResult(0.1875f, 1.0f),
- EWMATestScenario(0.0f, kCheckerboard, 12, 0.25f)
- .HasExpectedResult(0.55332780f, 1.0f),
- EWMATestScenario(0.0f, kCheckerboard, 13, 0.25f)
- .HasExpectedResult(0.41499585f, 1.0f),
- EWMATestScenario(0.0f, kCheckerboard, 14, 0.25f)
- .HasExpectedResult(0.56124689f, 1.0f),
- EWMATestScenario(0.0f, kCheckerboard, 15, 0.25f)
- .HasExpectedResult(0.42093517f, 1.0f),
-
- // Smoothing factor of 1/4, inverse checkerboard signal.
- EWMATestScenario(0.0f, kInverseCheckerboard, 1, 0.25f)
- .HasExpectedResult(0.25f, 1.0f),
- EWMATestScenario(0.0f, kInverseCheckerboard, 2, 0.25f)
- .HasExpectedResult(0.1875f, 1.0f),
- EWMATestScenario(0.0f, kInverseCheckerboard, 3, 0.25f)
- .HasExpectedResult(0.390625f, 1.0f),
- EWMATestScenario(0.0f, kInverseCheckerboard, 12, 0.25f)
- .HasExpectedResult(0.41499585f, 1.0f),
- EWMATestScenario(0.0f, kInverseCheckerboard, 13, 0.25f)
- .HasExpectedResult(0.56124689f, 1.0f),
- EWMATestScenario(0.0f, kInverseCheckerboard, 14, 0.25f)
- .HasExpectedResult(0.42093517f, 1.0f),
- EWMATestScenario(0.0f, kInverseCheckerboard, 15, 0.25f)
- .HasExpectedResult(0.56570137f, 1.0f),
-
- // Smoothing factor of 1/4, impluse signal.
- EWMATestScenario(0.0f, kZeros, 3, 0.25f)
- .WithImpulse(2.0f, 0)
- .HasExpectedResult(0.562500f, 4.0f),
- EWMATestScenario(0.0f, kZeros, 3, 0.25f)
- .WithImpulse(2.0f, 1)
- .HasExpectedResult(0.75f, 4.0f),
- EWMATestScenario(0.0f, kZeros, 3, 0.25f)
- .WithImpulse(2.0f, 2)
- .HasExpectedResult(1.0f, 4.0f),
- EWMATestScenario(0.0f, kZeros, 32, 0.25f)
- .WithImpulse(2.0f, 0)
- .HasExpectedResult(0.00013394f, 4.0f),
- EWMATestScenario(0.0f, kZeros, 32, 0.25f)
- .WithImpulse(2.0f, 1)
- .HasExpectedResult(0.00017858f, 4.0f),
- EWMATestScenario(0.0f, kZeros, 32, 0.25f)
- .WithImpulse(2.0f, 2)
- .HasExpectedResult(0.00023811f, 4.0f),
- EWMATestScenario(0.0f, kZeros, 32, 0.25f)
- .WithImpulse(2.0f, 3)
- .HasExpectedResult(0.00031748f, 4.0f)
- ));
+ // Zero-length input: Result should equal initial value.
+ EWMATestScenario(0.0f, NULL, 0, 0.0f).HasExpectedResult(0.0f, 0.0f),
+ EWMATestScenario(1.0f, NULL, 0, 0.0f).HasExpectedResult(1.0f, 0.0f),
+
+ // Smoothing factor of zero: Samples have no effect on result.
+ EWMATestScenario(0.0f, kOnes, 32, 0.0f).HasExpectedResult(0.0f, 1.0f),
+ EWMATestScenario(1.0f, kZeros, 32, 0.0f).HasExpectedResult(1.0f, 0.0f),
+
+ // Smothing factor of one: Result = last sample squared.
+ EWMATestScenario(0.0f, kCheckerboard, 32, 1.0f)
+ .ScaledBy(2.0f)
+ .HasExpectedResult(4.0f, 4.0f),
+ EWMATestScenario(1.0f, kInverseCheckerboard, 32, 1.0f)
+ .ScaledBy(2.0f)
+ .HasExpectedResult(0.0f, 4.0f),
+
+ // Smoothing factor of 1/4, muted signal.
+ EWMATestScenario(1.0f, kZeros, 1, 0.25f)
+ .HasExpectedResult(powf(0.75, 1.0f), 0.0f),
+ EWMATestScenario(1.0f, kZeros, 2, 0.25f)
+ .HasExpectedResult(powf(0.75, 2.0f), 0.0f),
+ EWMATestScenario(1.0f, kZeros, 3, 0.25f)
+ .HasExpectedResult(powf(0.75, 3.0f), 0.0f),
+ EWMATestScenario(1.0f, kZeros, 12, 0.25f)
+ .HasExpectedResult(powf(0.75, 12.0f), 0.0f),
+ EWMATestScenario(1.0f, kZeros, 13, 0.25f)
+ .HasExpectedResult(powf(0.75, 13.0f), 0.0f),
+ EWMATestScenario(1.0f, kZeros, 14, 0.25f)
+ .HasExpectedResult(powf(0.75, 14.0f), 0.0f),
+ EWMATestScenario(1.0f, kZeros, 15, 0.25f)
+ .HasExpectedResult(powf(0.75, 15.0f), 0.0f),
+
+ // Smoothing factor of 1/4, constant full-amplitude signal.
+ EWMATestScenario(0.0f, kOnes, 1, 0.25f).HasExpectedResult(0.25f, 1.0f),
+ EWMATestScenario(0.0f, kOnes, 2, 0.25f)
+ .HasExpectedResult(0.4375f, 1.0f),
+ EWMATestScenario(0.0f, kOnes, 3, 0.25f)
+ .HasExpectedResult(0.578125f, 1.0f),
+ EWMATestScenario(0.0f, kOnes, 12, 0.25f)
+ .HasExpectedResult(0.96832365f, 1.0f),
+ EWMATestScenario(0.0f, kOnes, 13, 0.25f)
+ .HasExpectedResult(0.97624274f, 1.0f),
+ EWMATestScenario(0.0f, kOnes, 14, 0.25f)
+ .HasExpectedResult(0.98218205f, 1.0f),
+ EWMATestScenario(0.0f, kOnes, 15, 0.25f)
+ .HasExpectedResult(0.98663654f, 1.0f),
+
+ // Smoothing factor of 1/4, checkerboard signal.
+ EWMATestScenario(0.0f, kCheckerboard, 1, 0.25f)
+ .HasExpectedResult(0.0f, 0.0f),
+ EWMATestScenario(0.0f, kCheckerboard, 2, 0.25f)
+ .HasExpectedResult(0.25f, 1.0f),
+ EWMATestScenario(0.0f, kCheckerboard, 3, 0.25f)
+ .HasExpectedResult(0.1875f, 1.0f),
+ EWMATestScenario(0.0f, kCheckerboard, 12, 0.25f)
+ .HasExpectedResult(0.55332780f, 1.0f),
+ EWMATestScenario(0.0f, kCheckerboard, 13, 0.25f)
+ .HasExpectedResult(0.41499585f, 1.0f),
+ EWMATestScenario(0.0f, kCheckerboard, 14, 0.25f)
+ .HasExpectedResult(0.56124689f, 1.0f),
+ EWMATestScenario(0.0f, kCheckerboard, 15, 0.25f)
+ .HasExpectedResult(0.42093517f, 1.0f),
+
+ // Smoothing factor of 1/4, inverse checkerboard signal.
+ EWMATestScenario(0.0f, kInverseCheckerboard, 1, 0.25f)
+ .HasExpectedResult(0.25f, 1.0f),
+ EWMATestScenario(0.0f, kInverseCheckerboard, 2, 0.25f)
+ .HasExpectedResult(0.1875f, 1.0f),
+ EWMATestScenario(0.0f, kInverseCheckerboard, 3, 0.25f)
+ .HasExpectedResult(0.390625f, 1.0f),
+ EWMATestScenario(0.0f, kInverseCheckerboard, 12, 0.25f)
+ .HasExpectedResult(0.41499585f, 1.0f),
+ EWMATestScenario(0.0f, kInverseCheckerboard, 13, 0.25f)
+ .HasExpectedResult(0.56124689f, 1.0f),
+ EWMATestScenario(0.0f, kInverseCheckerboard, 14, 0.25f)
+ .HasExpectedResult(0.42093517f, 1.0f),
+ EWMATestScenario(0.0f, kInverseCheckerboard, 15, 0.25f)
+ .HasExpectedResult(0.56570137f, 1.0f),
+
+ // Smoothing factor of 1/4, impluse signal.
+ EWMATestScenario(0.0f, kZeros, 3, 0.25f)
+ .WithImpulse(2.0f, 0)
+ .HasExpectedResult(0.562500f, 4.0f),
+ EWMATestScenario(0.0f, kZeros, 3, 0.25f)
+ .WithImpulse(2.0f, 1)
+ .HasExpectedResult(0.75f, 4.0f),
+ EWMATestScenario(0.0f, kZeros, 3, 0.25f)
+ .WithImpulse(2.0f, 2)
+ .HasExpectedResult(1.0f, 4.0f),
+ EWMATestScenario(0.0f, kZeros, 32, 0.25f)
+ .WithImpulse(2.0f, 0)
+ .HasExpectedResult(0.00013394f, 4.0f),
+ EWMATestScenario(0.0f, kZeros, 32, 0.25f)
+ .WithImpulse(2.0f, 1)
+ .HasExpectedResult(0.00017858f, 4.0f),
+ EWMATestScenario(0.0f, kZeros, 32, 0.25f)
+ .WithImpulse(2.0f, 2)
+ .HasExpectedResult(0.00023811f, 4.0f),
+ EWMATestScenario(0.0f, kZeros, 32, 0.25f)
+ .WithImpulse(2.0f, 3)
+ .HasExpectedResult(0.00031748f, 4.0f)));
} // namespace media
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