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#pragma once
// DO NOT DEFINE STATIC DATA IN THIS HEADER!
// See Note [Do not compile initializers with AVX]
#include <ATen/cpu/vec/vec.h>
#include <c10/util/irange.h>
namespace at { namespace vec {
// slow path
template <typename scalar_t, typename Op>
inline scalar_t vec_reduce_all(
const Op& vec_fun,
vec::Vectorized<scalar_t> acc_vec,
int64_t size) {
using Vec = vec::Vectorized<scalar_t>;
scalar_t acc_arr[Vec::size()];
acc_vec.store(acc_arr);
for (const auto i : c10::irange(1, size)) {
std::array<scalar_t, Vec::size()> acc_arr_next = {0};
acc_arr_next[0] = acc_arr[i];
Vec acc_vec_next = Vec::loadu(acc_arr_next.data());
acc_vec = vec_fun(acc_vec, acc_vec_next);
}
acc_vec.store(acc_arr);
return acc_arr[0];
}
template <typename scalar_t, typename Op>
struct VecReduceAllSIMD {
static inline scalar_t apply(const Op& vec_fun, Vectorized<scalar_t> acc_vec) {
return vec_reduce_all(vec_fun, acc_vec, Vectorized<scalar_t>::size());
}
};
#if defined(__GNUC__) && (__GNUC__ > 5) && !defined(_MSC_VER) && !defined(C10_MOBILE)
#if defined(CPU_CAPABILITY_AVX2)
template <typename Op>
struct VecReduceAllSIMD<float, Op> {
static inline float apply(const Op& vec_fun, Vectorized<float> acc_vec) {
using Vec = Vectorized<float>;
Vec v = acc_vec;
// 128-bit shuffle
Vec v1 = _mm256_permute2f128_ps(v, v, 0x1);
v = vec_fun(v, v1);
// 64-bit shuffle
v1 = _mm256_shuffle_ps(v, v, 0x4E);
v = vec_fun(v, v1);
// 32-bit shuffle
v1 = _mm256_shuffle_ps(v, v, 0xB1);
v = vec_fun(v, v1);
return _mm256_cvtss_f32(v);
}
};
#endif // defined(CPU_CAPABILITY_AVX2)
#if defined(CPU_CAPABILITY_AVX512)
template <typename Op>
struct VecReduceAllSIMD<float, Op> {
static inline float apply(const Op& vec_fun, Vectorized<float> acc_vec) {
using Vec = Vectorized<float>;
Vec v = acc_vec;
// 256-bit shuffle
Vec v1 = _mm512_shuffle_f32x4(v, v, 0x4E);
v = vec_fun(v, v1);
// 128-bit shuffle
v1 = _mm512_shuffle_f32x4(v, v, 0xB1);
v = vec_fun(v, v1);
// 64-bit shuffle
v1 = _mm512_shuffle_ps(v, v, 0x4E);
v = vec_fun(v, v1);
// 32-bit shuffle
v1 = _mm512_shuffle_ps(v, v, 0xB1);
v = vec_fun(v, v1);
return _mm512_cvtss_f32(v);
}
};
#endif // defined(CPU_CAPABILITY_AVX512)
#endif // defined(__GNUC__) && (__GNUC__ > 5) && !defined(_MSC_VER) && !defined(C10_MOBILE)
template <typename scalar_t, typename Op>
inline scalar_t vec_reduce_all(const Op& vec_fun, Vectorized<scalar_t> acc_vec) {
return VecReduceAllSIMD<scalar_t, Op>::apply(vec_fun, acc_vec);
}
template <typename scalar_t, typename Op>
inline scalar_t reduce_all(const Op& vec_fun, const scalar_t* data, int64_t size) {
using Vec = vec::Vectorized<scalar_t>;
if (size < Vec::size())
return vec_reduce_all(vec_fun, Vec::loadu(data, size), size);
int64_t d = Vec::size();
Vec acc_vec = Vec::loadu(data);
for (; d < size - (size % Vec::size()); d += Vec::size()) {
Vec data_vec = Vec::loadu(data + d);
acc_vec = vec_fun(acc_vec, data_vec);
}
if (size - d > 0) {
Vec data_vec = Vec::loadu(data + d, size - d);
acc_vec = Vec::set(acc_vec, vec_fun(acc_vec, data_vec), size - d);
}
return vec_reduce_all(vec_fun, acc_vec);
}
// similar to reduce_all, but reduces into two outputs
template <typename scalar_t, typename Op1, typename Op2>
inline std::pair<scalar_t, scalar_t> reduce2_all(const Op1& vec_fun1, const Op2& vec_fun2,
const scalar_t* data, int64_t size) {
using Vec = vec::Vectorized<scalar_t>;
if (size < Vec::size()) {
auto loaded_data = Vec::loadu(data, size);
return std::pair<scalar_t, scalar_t>(
vec_reduce_all(vec_fun1, loaded_data, size),
vec_reduce_all(vec_fun2, loaded_data, size));
}
int64_t d = Vec::size();
Vec acc_vec1 = Vec::loadu(data);
Vec acc_vec2 = Vec::loadu(data);
for (; d < size - (size % Vec::size()); d += Vec::size()) {
Vec data_vec = Vec::loadu(data + d);
acc_vec1 = vec_fun1(acc_vec1, data_vec);
acc_vec2 = vec_fun2(acc_vec2, data_vec);
}
if (size - d > 0) {
Vec data_vec = Vec::loadu(data + d, size - d);
acc_vec1 = Vec::set(acc_vec1, vec_fun1(acc_vec1, data_vec), size - d);
acc_vec2 = Vec::set(acc_vec2, vec_fun2(acc_vec2, data_vec), size - d);
}
return std::pair<scalar_t, scalar_t>(
vec_reduce_all(vec_fun1, acc_vec1),
vec_reduce_all(vec_fun2, acc_vec2));
}
template <typename scalar_t, typename MapOp, typename ReduceOp>
inline scalar_t map_reduce_all(
const MapOp& map_fun,
const ReduceOp& red_fun,
const scalar_t* data,
int64_t size) {
using Vec = vec::Vectorized<scalar_t>;
if (size < Vec::size())
return vec_reduce_all(red_fun, map_fun(Vec::loadu(data, size)), size);
int64_t d = Vec::size();
Vec acc_vec = map_fun(Vec::loadu(data));
for (; d < size - (size % Vec::size()); d += Vec::size()) {
Vec data_vec = Vec::loadu(data + d);
data_vec = map_fun(data_vec);
acc_vec = red_fun(acc_vec, data_vec);
}
if (size - d > 0) {
Vec data_vec = Vec::loadu(data + d, size - d);
data_vec = map_fun(data_vec);
acc_vec = Vec::set(acc_vec, red_fun(acc_vec, data_vec), size - d);
}
return vec_reduce_all(red_fun, acc_vec);
}
template <typename scalar_t, typename MapOp, typename ReduceOp>
inline scalar_t map2_reduce_all(
const MapOp& map_fun,
const ReduceOp& red_fun,
const scalar_t* data,
const scalar_t* data2,
int64_t size) {
using Vec = vec::Vectorized<scalar_t>;
if (size < Vec::size()) {
Vec data_vec = Vec::loadu(data, size);
Vec data2_vec = Vec::loadu(data2, size);
data_vec = map_fun(data_vec, data2_vec);
return vec_reduce_all(red_fun, data_vec, size);
}
int64_t d = Vec::size();
Vec acc_vec = map_fun(Vec::loadu(data), Vec::loadu(data2));
for (; d < size - (size % Vec::size()); d += Vec::size()) {
Vec data_vec = Vec::loadu(data + d);
Vec data2_vec = Vec::loadu(data2 + d);
data_vec = map_fun(data_vec, data2_vec);
acc_vec = red_fun(acc_vec, data_vec);
}
if (size - d > 0) {
Vec data_vec = Vec::loadu(data + d, size - d);
Vec data2_vec = Vec::loadu(data2 + d, size - d);
data_vec = map_fun(data_vec, data2_vec);
acc_vec = Vec::set(acc_vec, red_fun(acc_vec, data_vec), size - d);
}
return vec_reduce_all(red_fun, acc_vec);
}
template <typename scalar_t, typename MapOp, typename ReduceOp>
inline scalar_t map3_reduce_all(
const MapOp& map_fun,
const ReduceOp& red_fun,
const scalar_t* data,
const scalar_t* data2,
const scalar_t* data3,
int64_t size) {
using Vec = vec::Vectorized<scalar_t>;
if (size < Vec::size()) {
Vec data_vec = Vec::loadu(data, size);
Vec data2_vec = Vec::loadu(data2, size);
Vec data3_vec = Vec::loadu(data3, size);
data_vec = map_fun(data_vec, data2_vec, data3_vec);
return vec_reduce_all(red_fun, data_vec, size);
}
int64_t d = Vec::size();
Vec acc_vec = map_fun(Vec::loadu(data), Vec::loadu(data2), Vec::loadu(data3));
for (; d < size - (size % Vec::size()); d += Vec::size()) {
Vec data_vec = Vec::loadu(data + d);
Vec data2_vec = Vec::loadu(data2 + d);
Vec data3_vec = Vec::loadu(data3 + d);
data_vec = map_fun(data_vec, data2_vec, data3_vec);
acc_vec = red_fun(acc_vec, data_vec);
}
if (size - d > 0) {
Vec data_vec = Vec::loadu(data + d, size - d);
Vec data2_vec = Vec::loadu(data2 + d, size - d);
Vec data3_vec = Vec::loadu(data3 + d, size - d);
data_vec = map_fun(data_vec, data2_vec, data3_vec);
acc_vec = Vec::set(acc_vec, red_fun(acc_vec, data_vec), size - d);
}
return vec_reduce_all(red_fun, acc_vec);
}
template <typename scalar_t, typename Op>
inline void map(
const Op& vec_fun,
scalar_t* output_data,
const scalar_t* input_data,
int64_t size) {
using Vec = vec::Vectorized<scalar_t>;
int64_t d = 0;
for (; d < size - (size % Vec::size()); d += Vec::size()) {
Vec output_vec = vec_fun(Vec::loadu(input_data + d));
output_vec.store(output_data + d);
}
if (size - d > 0) {
Vec output_vec = vec_fun(Vec::loadu(input_data + d, size - d));
output_vec.store(output_data + d, size - d);
}
}
template <typename scalar_t, typename Op>
inline void map2(
const Op& vec_fun,
scalar_t* output_data,
const scalar_t* input_data,
const scalar_t* input_data2,
int64_t size) {
using Vec = vec::Vectorized<scalar_t>;
int64_t d = 0;
for (; d < size - (size % Vec::size()); d += Vec::size()) {
Vec data_vec = Vec::loadu(input_data + d);
Vec data_vec2 = Vec::loadu(input_data2 + d);
Vec output_vec = vec_fun(data_vec, data_vec2);
output_vec.store(output_data + d);
}
if (size - d > 0) {
Vec data_vec = Vec::loadu(input_data + d, size - d);
Vec data_vec2 = Vec::loadu(input_data2 + d, size - d);
Vec output_vec = vec_fun(data_vec, data_vec2);
output_vec.store(output_data + d, size - d);
}
}
template <typename scalar_t, typename Op>
inline void map3(
const Op& vec_fun,
scalar_t* output_data,
const scalar_t* input_data1,
const scalar_t* input_data2,
const scalar_t* input_data3,
int64_t size) {
using Vec = vec::Vectorized<scalar_t>;
int64_t d = 0;
for (; d < size - (size % Vec::size()); d += Vec::size()) {
Vec data_vec1 = Vec::loadu(input_data1 + d);
Vec data_vec2 = Vec::loadu(input_data2 + d);
Vec data_vec3 = Vec::loadu(input_data3 + d);
Vec output_vec = vec_fun(data_vec1, data_vec2, data_vec3);
output_vec.store(output_data + d);
}
if (size - d > 0) {
Vec data_vec1 = Vec::loadu(input_data1 + d, size - d);
Vec data_vec2 = Vec::loadu(input_data2 + d, size - d);
Vec data_vec3 = Vec::loadu(input_data3 + d, size - d);
Vec output_vec = vec_fun(data_vec1, data_vec2, data_vec3);
output_vec.store(output_data + d, size - d);
}
}
template <typename scalar_t, typename Op>
inline void map4(
const Op& vec_fun,
scalar_t* output_data,
const scalar_t* input_data1,
const scalar_t* input_data2,
const scalar_t* input_data3,
const scalar_t* input_data4,
int64_t size) {
using Vec = vec::Vectorized<scalar_t>;
int64_t d = 0;
for (; d < size - (size % Vec::size()); d += Vec::size()) {
Vec data_vec1 = Vec::loadu(input_data1 + d);
Vec data_vec2 = Vec::loadu(input_data2 + d);
Vec data_vec3 = Vec::loadu(input_data3 + d);
Vec data_vec4 = Vec::loadu(input_data4 + d);
Vec output_vec = vec_fun(data_vec1, data_vec2, data_vec3, data_vec4);
output_vec.store(output_data + d);
}
if (size - d > 0) {
Vec data_vec1 = Vec::loadu(input_data1 + d, size - d);
Vec data_vec2 = Vec::loadu(input_data2 + d, size - d);
Vec data_vec3 = Vec::loadu(input_data3 + d, size - d);
Vec data_vec4 = Vec::loadu(input_data4 + d, size - d);
Vec output_vec = vec_fun(data_vec1, data_vec2, data_vec3, data_vec4);
output_vec.store(output_data + d, size - d);
}
}
}} // namespace at::vec
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