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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>
namespace at { namespace vec {
// BFloat16 specification
template <typename scalar_t> struct VecScalarType { using type = scalar_t; };
template <> struct VecScalarType<BFloat16> { using type = float; };
// This is different from at::acc_type since we only need to specialize BFloat16
template <typename scalar_t>
using vec_scalar_t = typename VecScalarType<scalar_t>::type;
// Note that we already have specialized member of Vectorized<scalar_t> for BFloat16
// so the following functions would run smoothly:
// using Vec = Vectorized<BFloat16>;
// Vec one = Vec(BFloat16(1));
// vec::map([](Vec x) { return one / (one + x.exp()); }, y_ptr, x_ptr, N);
//
// Then why we still need to specialize "funtional"?
// If we do specialization at Vectorized<> level, the above example would need 3 pairs of
// conversion of bf16->fp32/fp32->bf16, each for ".exp()", "+" and "/".
// If we do specialization at vec::map<>() level, we have only 1 pair of conversion
// of bf16->fp32/fp32->bf16, for the input and output BFloat16 vector only.
//
// The following BFloat16 functionality will only do data type conversion for input
// and output vector (reduce functionality will only convert the final scalar back to bf16).
// Compared to Vectorized<> specialization,
// 1. better performance since we have less data type conversion;
// 2. less rounding error since immediate results are kept in fp32;
// 3. accumulation done on data type of fp32.
//
// If you plan to extend this file, please ensure adding unit tests at
// aten/src/ATen/test/vec_test_all_types.cpp
//
template <typename scalar_t = BFloat16, typename Op>
inline BFloat16 reduce_all(const Op& vec_fun, const BFloat16* data, int64_t size) {
using bVec = vec::Vectorized<BFloat16>;
using fVec = vec::Vectorized<float>;
if (size < bVec::size()) {
bVec data_bvec = bVec::loadu(data, size);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
if (size > fVec::size()) {
data_fvec0 = fVec::set(data_fvec0, vec_fun(data_fvec0, data_fvec1), size - fVec::size());
return vec_reduce_all<float>(vec_fun, data_fvec0, fVec::size());
} else {
return vec_reduce_all<float>(vec_fun, data_fvec0, size);
}
}
int64_t d = bVec::size();
bVec acc_bvec = bVec::loadu(data);
fVec acc_fvec0, acc_fvec1;
std::tie(acc_fvec0, acc_fvec1) = convert_bfloat16_float(acc_bvec);
for (; d < size - (size % bVec::size()); d += bVec::size()) {
bVec data_bvec = bVec::loadu(data + d);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
acc_fvec0 = vec_fun(acc_fvec0, data_fvec0);
acc_fvec1 = vec_fun(acc_fvec1, data_fvec1);
}
if (size - d > 0) {
bVec data_bvec = bVec::loadu(data + d, size - d);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
if (size - d > fVec::size()) {
acc_fvec0 = vec_fun(acc_fvec0, data_fvec0);
acc_fvec1 = fVec::set(acc_fvec1, vec_fun(acc_fvec1, data_fvec1), size - d - fVec::size());
} else {
acc_fvec0 = fVec::set(acc_fvec0, vec_fun(acc_fvec0, data_fvec0), size - d);
}
}
acc_fvec0 = vec_fun(acc_fvec0, acc_fvec1);
return vec_reduce_all<float>(vec_fun, acc_fvec0);
}
template <typename scalar_t = BFloat16, typename Op1, typename Op2>
inline std::pair<BFloat16, BFloat16> reduce2_all(const Op1& vec_fun1, const Op2& vec_fun2,
const BFloat16* data, int64_t size) {
using bVec = vec::Vectorized<BFloat16>;
using fVec = vec::Vectorized<float>;
if (size < bVec::size()) {
bVec data_bvec = bVec::loadu(data, size);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
if (size > fVec::size()) {
fVec acc1_fvec = fVec::set(data_fvec0, vec_fun1(data_fvec0, data_fvec1), size - fVec::size());
fVec acc2_fvec = fVec::set(data_fvec0, vec_fun2(data_fvec0, data_fvec1), size - fVec::size());
return std::pair<BFloat16, BFloat16>(
vec_reduce_all<float>(vec_fun1, acc1_fvec, fVec::size()),
vec_reduce_all<float>(vec_fun2, acc2_fvec, fVec::size()));
} else {
return std::pair<BFloat16, BFloat16>(
vec_reduce_all<float>(vec_fun1, data_fvec0, size),
vec_reduce_all<float>(vec_fun2, data_fvec0, size));
}
}
int64_t d = bVec::size();
bVec acc_bvec = bVec::loadu(data);
fVec acc1_fvec0, acc1_fvec1;
std::tie(acc1_fvec0, acc1_fvec1) = convert_bfloat16_float(acc_bvec);
fVec acc2_fvec0, acc2_fvec1;
std::tie(acc2_fvec0, acc2_fvec1) = convert_bfloat16_float(acc_bvec);
for (; d < size - (size % bVec::size()); d += bVec::size()) {
bVec data_bvec = bVec::loadu(data + d);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
acc1_fvec0 = vec_fun1(acc1_fvec0, data_fvec0);
acc1_fvec1 = vec_fun1(acc1_fvec1, data_fvec1);
acc2_fvec0 = vec_fun2(acc2_fvec0, data_fvec0);
acc2_fvec1 = vec_fun2(acc2_fvec1, data_fvec1);
}
if (size - d > 0) {
bVec data_bvec = bVec::loadu(data + d, size - d);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
if (size - d > fVec::size()) {
acc1_fvec0 = vec_fun1(acc1_fvec0, data_fvec0);
acc1_fvec1 = fVec::set(acc1_fvec1, vec_fun1(acc1_fvec1, data_fvec1), size - d - fVec::size());
acc2_fvec0 = vec_fun2(acc2_fvec0, data_fvec0);
acc2_fvec1 = fVec::set(acc2_fvec1, vec_fun2(acc2_fvec1, data_fvec1), size - d - fVec::size());
} else {
acc1_fvec0 = fVec::set(acc1_fvec0, vec_fun1(acc1_fvec0, data_fvec0), size - d);
acc2_fvec0 = fVec::set(acc2_fvec0, vec_fun2(acc2_fvec0, data_fvec0), size - d);
}
}
acc1_fvec0 = vec_fun1(acc1_fvec0, acc1_fvec1);
acc2_fvec0 = vec_fun2(acc2_fvec0, acc2_fvec1);
return std::pair<BFloat16, BFloat16>(
vec_reduce_all<float>(vec_fun1, acc1_fvec0),
vec_reduce_all<float>(vec_fun2, acc2_fvec0));
}
template <typename scalar_t = BFloat16, typename MapOp, typename ReduceOp>
inline BFloat16 map_reduce_all(
const MapOp& map_fun,
const ReduceOp& red_fun,
const BFloat16* data,
int64_t size) {
using bVec = vec::Vectorized<BFloat16>;
using fVec = vec::Vectorized<float>;
if (size < bVec::size()) {
bVec data_bvec = bVec::loadu(data, size);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
if (size > fVec::size()) {
data_fvec0 = map_fun(data_fvec0);
data_fvec1 = map_fun(data_fvec1);
data_fvec0 = fVec::set(data_fvec0, red_fun(data_fvec0, data_fvec1), size - fVec::size());
return vec_reduce_all<float>(red_fun, data_fvec0, fVec::size());
} else {
data_fvec0 = map_fun(data_fvec0);
return vec_reduce_all<float>(red_fun, data_fvec0, size);
}
}
int64_t d = bVec::size();
bVec acc_bvec = bVec::loadu(data);
fVec acc_fvec0, acc_fvec1;
std::tie(acc_fvec0, acc_fvec1) = convert_bfloat16_float(acc_bvec);
acc_fvec0 = map_fun(acc_fvec0);
acc_fvec1 = map_fun(acc_fvec1);
for (; d < size - (size % bVec::size()); d += bVec::size()) {
bVec data_bvec = bVec::loadu(data + d);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
data_fvec0 = map_fun(data_fvec0);
data_fvec1 = map_fun(data_fvec1);
acc_fvec0 = red_fun(acc_fvec0, data_fvec0);
acc_fvec1 = red_fun(acc_fvec1, data_fvec1);
}
if (size - d > 0) {
bVec data_bvec = bVec::loadu(data + d, size - d);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
if (size - d > fVec::size()) {
data_fvec0 = map_fun(data_fvec0);
data_fvec1 = map_fun(data_fvec1);
acc_fvec0 = red_fun(acc_fvec0, data_fvec0);
acc_fvec1 = fVec::set(acc_fvec1, red_fun(acc_fvec1, data_fvec1), size - d - fVec::size());
} else {
data_fvec0 = map_fun(data_fvec0);
acc_fvec0 = fVec::set(acc_fvec0, red_fun(acc_fvec0, data_fvec0), size - d);
}
}
acc_fvec0 = red_fun(acc_fvec0, acc_fvec1);
return vec_reduce_all<float>(red_fun, acc_fvec0);
}
template <typename scalar_t = BFloat16, typename MapOp, typename ReduceOp>
inline BFloat16 map2_reduce_all(
const MapOp& map_fun,
const ReduceOp& red_fun,
const BFloat16* data,
const BFloat16* data2,
int64_t size) {
using bVec = vec::Vectorized<BFloat16>;
using fVec = vec::Vectorized<float>;
if (size < bVec::size()) {
bVec data_bvec = bVec::loadu(data, size);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
bVec data2_bvec = bVec::loadu(data2, size);
fVec data2_fvec0, data2_fvec1;
std::tie(data2_fvec0, data2_fvec1) = convert_bfloat16_float(data2_bvec);
if (size > fVec::size()) {
data_fvec0 = map_fun(data_fvec0, data2_fvec0);
data_fvec1 = map_fun(data_fvec1, data2_fvec1);
data_fvec0 = fVec::set(data_fvec0, red_fun(data_fvec0, data_fvec1), size - fVec::size());
return vec_reduce_all<float>(red_fun, data_fvec0, fVec::size());
} else {
data_fvec0 = map_fun(data_fvec0, data2_fvec0);
return vec_reduce_all<float>(red_fun, data_fvec0, size);
}
}
int64_t d = bVec::size();
bVec acc_bvec = bVec::loadu(data);
fVec acc_fvec0, acc_fvec1;
std::tie(acc_fvec0, acc_fvec1) = convert_bfloat16_float(acc_bvec);
bVec acc2_bvec = bVec::loadu(data2);
fVec acc2_fvec0, acc2_fvec1;
std::tie(acc2_fvec0, acc2_fvec1) = convert_bfloat16_float(acc2_bvec);
acc_fvec0 = map_fun(acc_fvec0, acc2_fvec0);
acc_fvec1 = map_fun(acc_fvec1, acc2_fvec1);
for (; d < size - (size % bVec::size()); d += bVec::size()) {
bVec data_bvec = bVec::loadu(data + d);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
bVec data2_bvec = bVec::loadu(data2 + d);
fVec data2_fvec0, data2_fvec1;
std::tie(data2_fvec0, data2_fvec1) = convert_bfloat16_float(data2_bvec);
data_fvec0 = map_fun(data_fvec0, data2_fvec0);
data_fvec1 = map_fun(data_fvec1, data2_fvec1);
acc_fvec0 = red_fun(acc_fvec0, data_fvec0);
acc_fvec1 = red_fun(acc_fvec1, data_fvec1);
}
if (size - d > 0) {
bVec data_bvec = bVec::loadu(data + d, size - d);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
bVec data2_bvec = bVec::loadu(data2 + d, size - d);
fVec data2_fvec0, data2_fvec1;
std::tie(data2_fvec0, data2_fvec1) = convert_bfloat16_float(data2_bvec);
if (size - d > fVec::size()) {
data_fvec0 = map_fun(data_fvec0, data2_fvec0);
data_fvec1 = map_fun(data_fvec1, data2_fvec1);
acc_fvec0 = red_fun(acc_fvec0, data_fvec0);
acc_fvec1 = fVec::set(acc_fvec1, red_fun(acc_fvec1, data_fvec1), size - d - fVec::size());
} else {
data_fvec0 = map_fun(data_fvec0, data2_fvec0);
acc_fvec0 = fVec::set(acc_fvec0, red_fun(acc_fvec0, data_fvec0), size - d);
}
}
acc_fvec0 = red_fun(acc_fvec0, acc_fvec1);
return vec_reduce_all<float>(red_fun, acc_fvec0);
}
template <typename scalar_t = BFloat16, typename MapOp, typename ReduceOp>
inline BFloat16 map3_reduce_all(
const MapOp& map_fun,
const ReduceOp& red_fun,
const BFloat16* data,
const BFloat16* data2,
const BFloat16* data3,
int64_t size) {
using bVec = vec::Vectorized<BFloat16>;
using fVec = vec::Vectorized<float>;
if (size < bVec::size()) {
bVec data_bvec = bVec::loadu(data, size);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
bVec data2_bvec = bVec::loadu(data2, size);
fVec data2_fvec0, data2_fvec1;
std::tie(data2_fvec0, data2_fvec1) = convert_bfloat16_float(data2_bvec);
bVec data3_bvec = bVec::loadu(data3, size);
fVec data3_fvec0, data3_fvec1;
std::tie(data3_fvec0, data3_fvec1) = convert_bfloat16_float(data3_bvec);
if (size > fVec::size()) {
data_fvec0 = map_fun(data_fvec0, data2_fvec0, data3_fvec0);
data_fvec1 = map_fun(data_fvec1, data2_fvec1, data3_fvec1);
data_fvec0 = fVec::set(data_fvec0, red_fun(data_fvec0, data_fvec1), size - fVec::size());
return vec_reduce_all<float>(red_fun, data_fvec0, fVec::size());
} else {
data_fvec0 = map_fun(data_fvec0, data2_fvec0, data3_fvec0);
return vec_reduce_all<float>(red_fun, data_fvec0, size);
}
}
int64_t d = bVec::size();
bVec acc_bvec = bVec::loadu(data);
fVec acc_fvec0, acc_fvec1;
std::tie(acc_fvec0, acc_fvec1) = convert_bfloat16_float(acc_bvec);
bVec acc2_bvec = bVec::loadu(data2);
fVec acc2_fvec0, acc2_fvec1;
std::tie(acc2_fvec0, acc2_fvec1) = convert_bfloat16_float(acc2_bvec);
bVec acc3_bvec = bVec::loadu(data3);
fVec acc3_fvec0, acc3_fvec1;
std::tie(acc3_fvec0, acc3_fvec1) = convert_bfloat16_float(acc3_bvec);
acc_fvec0 = map_fun(acc_fvec0, acc2_fvec0, acc3_fvec0);
acc_fvec1 = map_fun(acc_fvec1, acc2_fvec1, acc3_fvec1);
for (; d < size - (size % bVec::size()); d += bVec::size()) {
bVec data_bvec = bVec::loadu(data + d);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
bVec data2_bvec = bVec::loadu(data2 + d);
fVec data2_fvec0, data2_fvec1;
std::tie(data2_fvec0, data2_fvec1) = convert_bfloat16_float(data2_bvec);
bVec data3_bvec = bVec::loadu(data3 + d);
fVec data3_fvec0, data3_fvec1;
std::tie(data3_fvec0, data3_fvec1) = convert_bfloat16_float(data3_bvec);
data_fvec0 = map_fun(data_fvec0, data2_fvec0, data3_fvec0);
data_fvec1 = map_fun(data_fvec1, data2_fvec1, data3_fvec1);
acc_fvec0 = red_fun(acc_fvec0, data_fvec0);
acc_fvec1 = red_fun(acc_fvec1, data_fvec1);
}
if (size - d > 0) {
bVec data_bvec = bVec::loadu(data + d, size - d);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
bVec data2_bvec = bVec::loadu(data2 + d, size - d);
fVec data2_fvec0, data2_fvec1;
std::tie(data2_fvec0, data2_fvec1) = convert_bfloat16_float(data2_bvec);
bVec data3_bvec = bVec::loadu(data3 + d, size - d);
fVec data3_fvec0, data3_fvec1;
std::tie(data3_fvec0, data3_fvec1) = convert_bfloat16_float(data3_bvec);
if (size - d > fVec::size()) {
data_fvec0 = map_fun(data_fvec0, data2_fvec0, data3_fvec0);
data_fvec1 = map_fun(data_fvec1, data2_fvec1, data3_fvec1);
acc_fvec0 = red_fun(acc_fvec0, data_fvec0);
acc_fvec1 = fVec::set(acc_fvec1, red_fun(acc_fvec1, data_fvec1), size - d - fVec::size());
} else {
data_fvec0 = map_fun(data_fvec0, data2_fvec0, data3_fvec0);
acc_fvec0 = fVec::set(acc_fvec0, red_fun(acc_fvec0, data_fvec0), size - d);
}
}
acc_fvec0 = red_fun(acc_fvec0, acc_fvec1);
return vec_reduce_all<float>(red_fun, acc_fvec0);
}
template <typename scalar_t = BFloat16, typename Op>
inline void map(
const Op& vec_fun,
BFloat16* output_data,
const BFloat16* input_data,
int64_t size) {
using bVec = vec::Vectorized<BFloat16>;
using fVec = vec::Vectorized<float>;
int64_t d = 0;
for (; d < size - (size % bVec::size()); d += bVec::size()) {
bVec data_bvec = bVec::loadu(input_data + d);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
fVec output_fvec0 = vec_fun(data_fvec0);
fVec output_fvec1 = vec_fun(data_fvec1);
bVec output_bvec = convert_float_bfloat16(output_fvec0, output_fvec1);
output_bvec.store(output_data + d);
}
if (size - d > 0) {
bVec data_bvec = bVec::loadu(input_data + d, size - d);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
fVec output_fvec0 = vec_fun(data_fvec0);
fVec output_fvec1 = vec_fun(data_fvec1);
bVec output_bvec = convert_float_bfloat16(output_fvec0, output_fvec1);
output_bvec.store(output_data + d, size - d);
}
}
template <typename scalar_t = BFloat16, typename Op>
inline void map2(
const Op& vec_fun,
BFloat16* output_data,
const BFloat16* input_data,
const BFloat16* input_data2,
int64_t size) {
using bVec = vec::Vectorized<BFloat16>;
using fVec = vec::Vectorized<float>;
int64_t d = 0;
for (; d < size - (size % bVec::size()); d += bVec::size()) {
bVec data_bvec = bVec::loadu(input_data + d);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
bVec data2_bvec = bVec::loadu(input_data2 + d);
fVec data2_fvec0, data2_fvec1;
std::tie(data2_fvec0, data2_fvec1) = convert_bfloat16_float(data2_bvec);
fVec output_fvec0 = vec_fun(data_fvec0, data2_fvec0);
fVec output_fvec1 = vec_fun(data_fvec1, data2_fvec1);
bVec output_bvec = convert_float_bfloat16(output_fvec0, output_fvec1);
output_bvec.store(output_data + d);
}
if (size - d > 0) {
bVec data_bvec = bVec::loadu(input_data + d, size - d);
fVec data_fvec0, data_fvec1;
std::tie(data_fvec0, data_fvec1) = convert_bfloat16_float(data_bvec);
bVec data2_bvec = bVec::loadu(input_data2 + d, size - d);
fVec data2_fvec0, data2_fvec1;
std::tie(data2_fvec0, data2_fvec1) = convert_bfloat16_float(data2_bvec);
fVec output_fvec0 = vec_fun(data_fvec0, data2_fvec0);
fVec output_fvec1 = vec_fun(data_fvec1, data2_fvec1);
bVec output_bvec = convert_float_bfloat16(output_fvec0, output_fvec1);
output_bvec.store(output_data + d, size - d);
}
}
template <typename scalar_t = BFloat16, typename Op>
inline void map3(
const Op& vec_fun,
BFloat16* output_data,
const BFloat16* input_data1,
const BFloat16* input_data2,
const BFloat16* input_data3,
int64_t size) {
using bVec = vec::Vectorized<BFloat16>;
using fVec = vec::Vectorized<float>;
int64_t d = 0;
for (; d < size - (size % bVec::size()); d += bVec::size()) {
bVec data1_bvec = bVec::loadu(input_data1 + d);
fVec data1_fvec0, data1_fvec1;
std::tie(data1_fvec0, data1_fvec1) = convert_bfloat16_float(data1_bvec);
bVec data2_bvec = bVec::loadu(input_data2 + d);
fVec data2_fvec0, data2_fvec1;
std::tie(data2_fvec0, data2_fvec1) = convert_bfloat16_float(data2_bvec);
bVec data3_bvec = bVec::loadu(input_data3 + d);
fVec data3_fvec0, data3_fvec1;
std::tie(data3_fvec0, data3_fvec1) = convert_bfloat16_float(data3_bvec);
fVec output_fvec0 = vec_fun(data1_fvec0, data2_fvec0, data3_fvec0);
fVec output_fvec1 = vec_fun(data1_fvec1, data2_fvec1, data3_fvec1);
bVec output_bvec = convert_float_bfloat16(output_fvec0, output_fvec1);
output_bvec.store(output_data + d);
}
if (size - d > 0) {
bVec data1_bvec = bVec::loadu(input_data1 + d, size - d);
fVec data1_fvec0, data1_fvec1;
std::tie(data1_fvec0, data1_fvec1) = convert_bfloat16_float(data1_bvec);
bVec data2_bvec = bVec::loadu(input_data2 + d, size - d);
fVec data2_fvec0, data2_fvec1;
std::tie(data2_fvec0, data2_fvec1) = convert_bfloat16_float(data2_bvec);
bVec data3_bvec = bVec::loadu(input_data3 + d, size - d);
fVec data3_fvec0, data3_fvec1;
std::tie(data3_fvec0, data3_fvec1) = convert_bfloat16_float(data3_bvec);
fVec output_fvec0 = vec_fun(data1_fvec0, data2_fvec0, data3_fvec0);
fVec output_fvec1 = vec_fun(data1_fvec1, data2_fvec1, data3_fvec1);
bVec output_bvec = convert_float_bfloat16(output_fvec0, output_fvec1);
output_bvec.store(output_data + d, size - d);
}
}
template <typename scalar_t = BFloat16, typename Op>
inline void map4(
const Op& vec_fun,
BFloat16* output_data,
const BFloat16* input_data1,
const BFloat16* input_data2,
const BFloat16* input_data3,
const BFloat16* input_data4,
int64_t size) {
using bVec = vec::Vectorized<BFloat16>;
using fVec = vec::Vectorized<float>;
int64_t d = 0;
for (; d < size - (size % bVec::size()); d += bVec::size()) {
bVec data1_bvec = bVec::loadu(input_data1 + d);
fVec data1_fvec0, data1_fvec1;
std::tie(data1_fvec0, data1_fvec1) = convert_bfloat16_float(data1_bvec);
bVec data2_bvec = bVec::loadu(input_data2 + d);
fVec data2_fvec0, data2_fvec1;
std::tie(data2_fvec0, data2_fvec1) = convert_bfloat16_float(data2_bvec);
bVec data3_bvec = bVec::loadu(input_data3 + d);
fVec data3_fvec0, data3_fvec1;
std::tie(data3_fvec0, data3_fvec1) = convert_bfloat16_float(data3_bvec);
bVec data4_bvec = bVec::loadu(input_data4 + d);
fVec data4_fvec0, data4_fvec1;
std::tie(data4_fvec0, data4_fvec1) = convert_bfloat16_float(data4_bvec);
fVec output_fvec0 = vec_fun(data1_fvec0, data2_fvec0, data3_fvec0, data4_fvec0);
fVec output_fvec1 = vec_fun(data1_fvec1, data2_fvec1, data3_fvec1, data4_fvec1);
bVec output_bvec = convert_float_bfloat16(output_fvec0, output_fvec1);
output_bvec.store(output_data + d);
}
if (size - d > 0) {
bVec data1_bvec = bVec::loadu(input_data1 + d, size - d);
fVec data1_fvec0, data1_fvec1;
std::tie(data1_fvec0, data1_fvec1) = convert_bfloat16_float(data1_bvec);
bVec data2_bvec = bVec::loadu(input_data2 + d, size - d);
fVec data2_fvec0, data2_fvec1;
std::tie(data2_fvec0, data2_fvec1) = convert_bfloat16_float(data2_bvec);
bVec data3_bvec = bVec::loadu(input_data3 + d, size - d);
fVec data3_fvec0, data3_fvec1;
std::tie(data3_fvec0, data3_fvec1) = convert_bfloat16_float(data3_bvec);
bVec data4_bvec = bVec::loadu(input_data4 + d, size - d);
fVec data4_fvec0, data4_fvec1;
std::tie(data4_fvec0, data4_fvec1) = convert_bfloat16_float(data4_bvec);
fVec output_fvec0 = vec_fun(data1_fvec0, data2_fvec0, data3_fvec0, data4_fvec0);
fVec output_fvec1 = vec_fun(data1_fvec1, data2_fvec1, data3_fvec1, data4_fvec1);
bVec output_bvec = convert_float_bfloat16(output_fvec0, output_fvec1);
output_bvec.store(output_data + d, size - d);
}
}
}} // namespace at::vec
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