Move diff to the new format
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a83cd99040
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ba87df8009
5 changed files with 80 additions and 81 deletions
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@ -37,28 +37,32 @@ public:
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BENCHMARK_DEFINE_F(DiffArray, Diff_Scalar)(benchmark::State& state) {
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for (auto _ : state)
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{
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sfz::diff<float, false>(input, absl::MakeSpan(output));
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sfz::setSIMDOpStatus(sfz::SIMDOps::diff, false);
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sfz::diff<float>(input, absl::MakeSpan(output));
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}
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}
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BENCHMARK_DEFINE_F(DiffArray, Diff_SIMD)(benchmark::State& state) {
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for (auto _ : state)
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{
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sfz::diff<float, true>(input, absl::MakeSpan(output));
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sfz::setSIMDOpStatus(sfz::SIMDOps::diff, true);
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sfz::diff<float>(input, absl::MakeSpan(output));
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}
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}
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BENCHMARK_DEFINE_F(DiffArray, Diff_Scalar_Unaligned)(benchmark::State& state) {
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for (auto _ : state)
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{
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sfz::diff<float, false>(absl::MakeSpan(input).subspan(1), absl::MakeSpan(output).subspan(1));
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sfz::setSIMDOpStatus(sfz::SIMDOps::diff, false);
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sfz::diff<float>(absl::MakeSpan(input).subspan(1), absl::MakeSpan(output).subspan(1));
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}
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}
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BENCHMARK_DEFINE_F(DiffArray, Diff_SIMD_Unaligned)(benchmark::State& state) {
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for (auto _ : state)
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{
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sfz::diff<float, true>(absl::MakeSpan(input).subspan(1), absl::MakeSpan(output).subspan(1));
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sfz::setSIMDOpStatus(sfz::SIMDOps::diff, true);
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sfz::diff<float>(absl::MakeSpan(input).subspan(1), absl::MakeSpan(output).subspan(1));
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}
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}
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@ -569,8 +569,8 @@ void cumsum<float>(const float* input, float* output, unsigned size) noexcept
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const auto* lastAligned = prevAligned(sentinel);
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while (unaligned(input, output) && output < lastAligned) {
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*output = *(output - 1) + *input++;
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output++;
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*output = *(output - 1) + *input;
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incrementAll(input, output);
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}
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auto mmOutput = _mm_set_ps1(*(output - 1));
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@ -589,8 +589,48 @@ void cumsum<float>(const float* input, float* output, unsigned size) noexcept
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}
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while (output < sentinel) {
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*output = *(output - 1) + *input++;
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output++;
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*output = *(output - 1) + *input;
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incrementAll(input, output);
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}
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}
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template <>
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void diff<float>(const float* input, float* output, unsigned size) noexcept
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{
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if (size == 0)
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return;
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const auto sentinel = output + size;
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*output++ = *input++;
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if (getSIMDOpStatus(SIMDOps::diff)) {
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#if SFIZZ_CPU_FAMILY_X86_64 || SFIZZ_CPU_FAMILY_I386
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if (cpuInfo.has_sse()) {
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const auto* lastAligned = prevAligned(sentinel);
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while (unaligned(input, output) && output < lastAligned) {
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*output = *input - *(input - 1);
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incrementAll(input, output);
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}
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auto mmBase = _mm_set_ps1(*(input - 1));
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while (output < lastAligned) {
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auto mmOutput = _mm_load_ps(input);
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auto mmNextBase = _mm_shuffle_ps(mmOutput, mmOutput, _MM_SHUFFLE(3, 3, 3, 3));
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mmOutput = _mm_sub_ps(mmOutput, mmBase);
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mmBase = mmNextBase;
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mmOutput = _mm_sub_ps(mmOutput, _mm_castsi128_ps(_mm_slli_si128(_mm_castps_si128(mmOutput), 4)));
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_mm_store_ps(output, mmOutput);
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incrementAll<4>(input, output);
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}
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// fallthrough from lastAligned to sentinel
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}
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#endif
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}
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while (output < sentinel) {
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*output = *input - *(input - 1);
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incrementAll(input, output);
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}
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}
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@ -590,21 +590,10 @@ T meanSquared(absl::Span<const T> vector) noexcept
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return meanSquared(vector.data(), vector.size());
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}
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namespace _internals {
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template <class T>
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inline void snippetCumsum(const T*& input, T*& output)
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{
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*output = *(output - 1) + *input++;
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output++;
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}
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}
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/**
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* @brief Computes the cumulative sum of a span.
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* The first output is the same as the first input.
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*
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* The output size will be the minimum of the input span and output span sizes.
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*
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* @tparam T the underlying type
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* @param input
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* @param output
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@ -620,8 +609,8 @@ void cumsum(const T* input, T* output, unsigned size) noexcept
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*output++ = *input++;
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while (output < sentinel) {
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*output = *(output - 1) + *input++;
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output++;
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*output = *(output - 1) + *input;
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incrementAll(input, output);
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}
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}
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@ -672,44 +661,38 @@ void sfzInterpolationCast(absl::Span<const T> floatJumps, absl::Span<int> jumps,
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_internals::snippetSFZInterpolationCast(floatJump, jump, coeff);
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}
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namespace _internals {
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template <class T>
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inline void snippetDiff(const T*& input, T*& output)
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{
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*output = *input - *(input - 1);
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output++;
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input++;
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}
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}
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/**
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* @brief Computes the differential of a span (successive differences).
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* The first output is the same as the first input.
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*
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* The output size will be the minimum of the input span and output span sizes.
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*
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* @tparam T the underlying type
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* @tparam SIMD use the SIMD version or the scalar version
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* @param vector
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* @return T
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* @param input
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* @param output
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* @param size
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*/
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template <class T, bool SIMD = SIMDConfig::diff>
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void diff(absl::Span<const T> input, absl::Span<T> output) noexcept
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template <class T>
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void diff(const T* input, T* output, unsigned size) noexcept
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{
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CHECK(output.size() >= input.size());
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if (input.size() == 0)
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if (size == 0)
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return;
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auto out = output.data();
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auto in = input.data();
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const auto sentinel = in + std::min(input.size(), output.size());
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const auto sentinel = output + size;
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*out++ = *in++;
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while (in < sentinel)
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_internals::snippetDiff(in, out);
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*output++ = *input++;
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while (output < sentinel) {
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*output = *input - *(input - 1);
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incrementAll(input, output);
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}
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}
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template <>
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void diff<float, true>(absl::Span<const float> input, absl::Span<float> output) noexcept;
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void diff<float>(const float* input, float* output, unsigned size) noexcept;
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template <class T>
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void diff(absl::Span<const T> input, absl::Span<T> output) noexcept
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{
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CHECK_SPAN_SIZES(input, output);
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diff<T>(input.data(), output.data(), minSpanSize(input, output));
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}
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} // namespace sfz
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@ -16,35 +16,4 @@
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constexpr uintptr_t TypeAlignment = 4;
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template <>
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void sfz::diff<float, true>(absl::Span<const float> input, absl::Span<float> output) noexcept
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{
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CHECK(output.size() >= input.size());
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if (input.size() == 0)
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return;
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auto out = output.data();
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auto in = input.data();
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const auto sentinel = in + std::min(input.size(), output.size());
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const auto lastAligned = prevAligned(sentinel);
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*out++ = *in++;
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while (unaligned(in, out) && in < lastAligned)
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_internals::snippetDiff(in, out);
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auto mmBase = _mm_set_ps1(*(in - 1));
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while (in < lastAligned) {
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auto mmOutput = _mm_load_ps(in);
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auto mmNextBase = _mm_shuffle_ps(mmOutput, mmOutput, _MM_SHUFFLE(3, 3, 3, 3));
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mmOutput = _mm_sub_ps(mmOutput, mmBase);
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mmBase = mmNextBase;
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mmOutput = _mm_sub_ps(mmOutput, _mm_castsi128_ps(_mm_slli_si128(_mm_castps_si128(mmOutput), 4)));
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_mm_store_ps(out, mmOutput);
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incrementAll<TypeAlignment>(in, out);
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}
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while (in < sentinel)
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_internals::snippetDiff(in, out);
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}
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#endif // SFIZZ_HAVE_SSE2
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@ -720,7 +720,8 @@ TEST_CASE("[Helpers] Diff")
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std::array<float, 6> input { 1.1f, 2.3f, 3.6f, 5.0f, 6.5f, 8.1f };
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std::array<float, 6> output;
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std::array<float, 6> expected { 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f };
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sfz::diff<float, false>(input, absl::MakeSpan(output));
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sfz::setSIMDOpStatus(sfz::SIMDOps::diff, false);
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sfz::diff<float>(input, absl::MakeSpan(output));
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REQUIRE(approxEqual<float>(output, expected));
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}
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@ -731,8 +732,10 @@ TEST_CASE("[Helpers] Diff (SIMD vs Scalar)")
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std::vector<float> outputSIMD(bigBufferSize);
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sfz::setSIMDOpStatus(sfz::SIMDOps::linearRamp, true);
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sfz::linearRamp<float>(absl::MakeSpan(input), 0.0f, 0.1f);
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sfz::diff<float, false>(input, absl::MakeSpan(outputScalar));
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sfz::diff<float, true>(input, absl::MakeSpan(outputSIMD));
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sfz::setSIMDOpStatus(sfz::SIMDOps::diff, false);
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sfz::diff<float>(input, absl::MakeSpan(outputScalar));
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sfz::setSIMDOpStatus(sfz::SIMDOps::diff, true);
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sfz::diff<float>(input, absl::MakeSpan(outputSIMD));
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REQUIRE(approxEqual<float>(outputScalar, outputSIMD));
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}
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