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#include <algorithm>
#include <cstdint>
#include <immintrin.h>
namespace caffe2 {
namespace internal {
template <typename T>
void ReluAVX2(const int N, const int zero_point, const T* X, T* Y);
template <>
void ReluAVX2<uint8_t>(
const int N,
const int zero_point,
const uint8_t* X,
uint8_t* Y) {
constexpr int kVLen = 32;
const int n = N / kVLen * kVLen;
const int r = N % kVLen;
const __m256i zero_v = _mm256_set1_epi8(static_cast<uint8_t>(zero_point));
for (int i = 0; i < n; i += kVLen) {
__m256i cur_v = _mm256_max_epu8(
_mm256_loadu_si256(reinterpret_cast<const __m256i*>(X + i)), zero_v);
_mm256_storeu_si256(reinterpret_cast<__m256i*>(Y + i), cur_v);
}
for (int i = 0; i < r; ++i) {
Y[n + i] = std::max(X[n + i], static_cast<uint8_t>(zero_point));
}
}
template <>
void ReluAVX2<uint16_t>(
const int N,
const int zero_point,
const uint16_t* X,
uint16_t* Y) {
constexpr int kVLen = 16;
const int n = N / kVLen * kVLen;
const int r = N % kVLen;
const __m256i zero_v = _mm256_set1_epi16(static_cast<uint16_t>(zero_point));
for (int i = 0; i < n; i += kVLen) {
__m256i cur_v = _mm256_max_epu16(
_mm256_loadu_si256(reinterpret_cast<const __m256i*>(X + i)), zero_v);
_mm256_storeu_si256(reinterpret_cast<__m256i*>(Y + i), cur_v);
}
for (int i = 0; i < r; ++i) {
Y[n + i] = std::max(X[n + i], static_cast<uint16_t>(zero_point));
}
}
} // namespace internal
} // namespace caffe2
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