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#pragma once
#include "interleave.h"
#include "kernels.h"
#include "multiply.h"
#include "types.h"
#include <cstdint>
#include <stdint.h>
namespace intgemm {
namespace avx2 {
INTGEMM_AVX2 inline __m256i QuantizerGrab(const float *input, const __m256 quant_mult_reg) {
return kernels::quantize(loadu_ps<__m256>(input), quant_mult_reg);
}
INTGEMM_SELECT_COL_B(INTGEMM_AVX2, __m256i)
class QuantizeTile16 {
public:
typedef __m256i Integer;
INTGEMM_AVX2 explicit QuantizeTile16(float mult) : mult_(_mm256_set1_ps(mult)) {}
INTGEMM_AVX2 Integer Consecutive(const float *input) {
return Tile(input, input + 8);
}
INTGEMM_AVX2 Integer ForReshape(const float *input, Index cols) {
// 8 rows in the first 128-bit register, 8 in the second register.
return Tile(input, input + 8 * cols);
}
private:
INTGEMM_AVX2 __m256i Tile(const float *input0, const float *input1) {
__m256i g0 = QuantizerGrab(input0, mult_);
__m256i g1 = QuantizerGrab(input1, mult_);
__m256i packed = _mm256_packs_epi32(g0, g1);
// Reorder the packed values because Intel does 0 1 2 3 8 9 10 11 4 5 6 7 12 13 14 15.
// Technically this could be removed if the PrepareB did the same reordering internally.
return _mm256_permute4x64_epi64(packed, 0xd8 /* 0, 2, 1, 3 */);
}
const __m256 mult_;
};
} // namespace
struct AVX2_16bit {
typedef int16_t Integer;
// Currently A is prepared by quantization but this could theoretically change.
INTGEMM_AVX2 static inline void PrepareA(const float *input, int16_t *output, float quant_mult, Index rows, Index cols) {
Quantize(input, output, quant_mult, rows * cols);
}
// Just quantize everything in order.
INTGEMM_AVX2 static void Quantize(const float *input, int16_t *output, float quant_mult, Index size) {
assert(size % 16 == 0);
assert(reinterpret_cast<uintptr_t>(input) % 32 == 0);
avx2::QuantizeTile16 q(quant_mult);
const float *end = input + size;
for (; input != end; input += 16, output += 16) {
*reinterpret_cast<__m256i*>(output) = q.Consecutive(input);
}
}
// Tile size for B; B must be a multiple of this block size.
static const Index kBTileRow = 16;
static const Index kBTileCol = 8;
/*
INTGEMM_AVX2 static void PrepareB(const float *input, int16_t *output, float quant_mult, Index rows, Index cols) {
PrepareBFor16(input, output, avx2::QuantizeTile16(quant_mult), rows, cols);
}*/
INTGEMM_PREPARE_B_16(INTGEMM_AVX2, avx2::QuantizeTile16)
INTGEMM_AVX2 static void SelectColumnsB(const int16_t *input, int16_t *output, Index rows, const Index *cols_begin, const Index *cols_end) {
avx2::SelectColumnsOfB((const __m256i*)input, (__m256i*)output, rows * 2, cols_begin, cols_end);
}
INTGEMM_MULTIPLY16(__m256i, INTGEMM_AVX2, CPUType::AVX2)
constexpr static const char *const kName = "16-bit INTGEMM_AVX2";
static const CPUType kUses = CPUType::AVX2;
};
namespace avx2 {
/* Read 8 floats at a time from input0, input1, input2, and input3. Quantize
* them to 8-bit by multiplying with quant_mult_reg then rounding. Concatenate
* the result into one register and return it.
*/
class QuantizeTile8 {
public:
typedef __m256i Integer;
INTGEMM_AVX2 explicit QuantizeTile8(float quant_mult) : mult_(_mm256_set1_ps(quant_mult)) {}
INTGEMM_AVX2 inline __m256i Consecutive(const float *input) {
return Tile(input, input + 8, input + 16, input + 24);
}
INTGEMM_AVX2 inline __m256i ForReshape(const float *input, Index cols) {
// Put higher rows in the second half of the register. These will jumble
// around in the same way then conveniently land in the right place.
return Tile(input, input + 2 * cols, input + 16 * cols, input + 18 * cols);
}
private:
INTGEMM_AVX2 inline __m256i Tile(const float *input0, const float *input1, const float *input2, const float *input3) {
// Looking at the assembly, gcc has pulled this outside the loops calling this.
const __m256i neg127 = _mm256_set1_epi8(-127);
const __m256i shuffle_param = _mm256_set_epi32(7, 3, 6, 2, 5, 1, 4, 0);
// Grab 4 registers at a time in 32-bit format.
__m256i g0 = avx2::QuantizerGrab(input0, mult_);
__m256i g1 = avx2::QuantizerGrab(input1, mult_);
__m256i g2 = avx2::QuantizerGrab(input2, mult_);
__m256i g3 = avx2::QuantizerGrab(input3, mult_);
// Pack 32-bit to 16-bit.
__m256i packed0 = _mm256_packs_epi32(g0, g1);
__m256i packed1 = _mm256_packs_epi32(g2, g3);
// Pack 16-bit to 8-bit.
__m256i packed = _mm256_packs_epi16(packed0, packed1);
// Ban -128.
packed = _mm256_max_epi8(packed, neg127);
// Currently in 0 1 2 3 8 9 10 11 16 17 18 19 24 25 26 27 4 5 6 7 12 13 14 15 20 21 22 23 28 29 30 31
// Or as 32-bit integers 0 2 4 6 1 3 5 7
// Technically this could be removed so long as the rows are bigger than 16
// and the values are only used for GEMM.
return _mm256_permutevar8x32_epi32(packed, shuffle_param);
}
const __m256 mult_;
};
// Technically only requires AVX
INTGEMM_MAXABSOLUTE(__m256, INTGEMM_AVX2)
} // namespace
struct AVX2_8bit {
typedef int8_t Integer;
// Currently A is prepared by quantization but this could theoretically change.
INTGEMM_AVX2 static inline void PrepareA(const float *input, int8_t *output, float quant_mult, Index rows, Index cols) {
Quantize(input, output, quant_mult, rows * cols);
}
// Just quantize everything in order.
INTGEMM_AVX2 static void Quantize(const float *input, int8_t *output, float quant_mult, Index size) {
assert(size % 32 == 0);
assert(reinterpret_cast<uintptr_t>(input) % 32 == 0);
avx2::QuantizeTile8 q(quant_mult);
const float *end = input + size;
for (; input != end; input += 32, output += 32) {
*reinterpret_cast<__m256i*>(output) = q.Consecutive(input);
}
}
// Tile size for B; B must be a multiple of this block size.
static const Index kBTileRow = 32;
static const Index kBTileCol = 8;
INTGEMM_PREPARE_B_8(INTGEMM_AVX2, avx2::QuantizeTile8)
INTGEMM_AVX2 static void SelectColumnsB(const int8_t *input, int8_t *output, Index rows, const Index *cols_begin, const Index *cols_end) {
avx2::SelectColumnsOfB((const __m256i*)input, (__m256i*)output, rows, cols_begin, cols_end);
}
INTGEMM_MULTIPLY8(__m256i, INTGEMM_AVX2, CPUType::AVX2)
constexpr static const char *const kName = "8-bit INTGEMM_AVX2";
static const CPUType kUses = CPUType::AVX2;
};
} // namespace intgemm
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