vbatts/llama.cpp
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

Q4 cleanup

Browse source
This commit is contained in:
Stephan Walter 2023-04-19 16:15:24 +02:00
parent 8944a13296
commit 21ee6d97cc
3 changed files with 9 additions and 350 deletions
Download patch file Download diff file Expand all files Collapse all files

1
CMakeLists.txt
View file

@ -174,7 +174,6 @@ if (LLAMA_ALL_WARNINGS)
-Wshadow
-Wstrict-prototypes
-Wpointer-arith
-Wno-unused-function
)
set(cxx_flags
-Wall

2
Makefile
View file

@ -36,7 +36,7 @@ CXXFLAGS = -I. -I./examples -O3 -DNDEBUG -std=c++11 -fPIC
LDFLAGS =
# warnings
CFLAGS += -Wall -Wextra -Wpedantic -Wcast-qual -Wdouble-promotion -Wshadow -Wstrict-prototypes -Wpointer-arith -Wno-unused-function
CFLAGS += -Wall -Wextra -Wpedantic -Wcast-qual -Wdouble-promotion -Wshadow -Wstrict-prototypes -Wpointer-arith
CXXFLAGS += -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wno-multichar
# OS specific

356
ggml.c
View file

@ -1562,7 +1562,13 @@ static const quantize_fns_t quantize_fns[GGML_TYPE_COUNT] = {
.quantize_row_q_dot = quantize_row_q8_0,
.vec_dot_q = ggml_vec_dot_q4_2_q8_0,
},
// TODO: GGML_TYPE_Q8_0
[GGML_TYPE_Q8_0] = {
.dequantize_row_q = NULL, // TODO
.quantize_row_q = quantize_row_q8_0,
.quantize_row_q_reference = (quantize_row_q_t) quantize_row_q8_0_reference,
.quantize_row_q_dot = quantize_row_q8_0,
.vec_dot_q = NULL, // TODO
},
};
// For internal test use
@ -2349,352 +2355,6 @@ inline static void ggml_vec_dot_f16(const int n, float * restrict s, ggml_fp16_t
*s = sumf;
}
static void ggml_vec_dot_q4_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
const int nb = n / QK4_0;
assert(n % QK4_0 == 0);
assert(nb % 2 == 0);
const block_q4_0 * restrict x = vx;
const block_q4_0 * restrict y = vy;
float sumf = 0.0;
#if defined(__ARM_NEON)
float sum0 = 0.0f;
float sum1 = 0.0f;
for (int i = 0; i < nb; i += 2) {
const block_q4_0 * restrict x0 = &x[i + 0];
const block_q4_0 * restrict y0 = &y[i + 0];
const block_q4_0 * restrict x1 = &x[i + 1];
const block_q4_0 * restrict y1 = &y[i + 1];
const uint8x16_t m4b = vdupq_n_u8(0xf);
const int8x16_t s8b = vdupq_n_s8(0x8);
const uint8x16_t v0_0 = vld1q_u8(x0->qs);
const uint8x16_t v1_0 = vld1q_u8(y0->qs);
const uint8x16_t v0_1 = vld1q_u8(x1->qs);
const uint8x16_t v1_1 = vld1q_u8(y1->qs);
// 4-bit -> 8-bit
const int8x16_t v0_0l = vreinterpretq_s8_u8(vandq_u8(v0_0, m4b));
const int8x16_t v1_0l = vreinterpretq_s8_u8(vandq_u8(v1_0, m4b));
const int8x16_t v0_0h = vreinterpretq_s8_u8(vshrq_n_u8(v0_0, 4));
const int8x16_t v1_0h = vreinterpretq_s8_u8(vshrq_n_u8(v1_0, 4));
const int8x16_t v0_1l = vreinterpretq_s8_u8(vandq_u8(v0_1, m4b));
const int8x16_t v1_1l = vreinterpretq_s8_u8(vandq_u8(v1_1, m4b));
const int8x16_t v0_1h = vreinterpretq_s8_u8(vshrq_n_u8(v0_1, 4));
const int8x16_t v1_1h = vreinterpretq_s8_u8(vshrq_n_u8(v1_1, 4));
// sub 8
const int8x16_t v0_0ls = vsubq_s8(v0_0l, s8b);
const int8x16_t v1_0ls = vsubq_s8(v1_0l, s8b);
const int8x16_t v0_0hs = vsubq_s8(v0_0h, s8b);
const int8x16_t v1_0hs = vsubq_s8(v1_0h, s8b);
const int8x16_t v0_1ls = vsubq_s8(v0_1l, s8b);
const int8x16_t v1_1ls = vsubq_s8(v1_1l, s8b);
const int8x16_t v0_1hs = vsubq_s8(v0_1h, s8b);
const int8x16_t v1_1hs = vsubq_s8(v1_1h, s8b);
#if defined(__ARM_FEATURE_DOTPROD)
// dot product into int32x4_t
int32x4_t p_0 = vdotq_s32(vdupq_n_s32(0), v0_0ls, v1_0ls);
int32x4_t p_1 = vdotq_s32(vdupq_n_s32(0), v0_1ls, v1_1ls);
p_0 = vdotq_s32(p_0, v0_0hs, v1_0hs);
p_1 = vdotq_s32(p_1, v0_1hs, v1_1hs);
sum0 += x0->d*y0->d*vaddvq_s32(p_0);
sum1 += x1->d*y1->d*vaddvq_s32(p_1);
#else
const int16x8_t pl0l = vmull_s8(vget_low_s8 (v0_0ls), vget_low_s8 (v1_0ls));
const int16x8_t pl0h = vmull_s8(vget_high_s8(v0_0ls), vget_high_s8(v1_0ls));
const int16x8_t ph0l = vmull_s8(vget_low_s8 (v0_0hs), vget_low_s8 (v1_0hs));
const int16x8_t ph0h = vmull_s8(vget_high_s8(v0_0hs), vget_high_s8(v1_0hs));
const int16x8_t pl1l = vmull_s8(vget_low_s8 (v0_1ls), vget_low_s8 (v1_1ls));
const int16x8_t pl1h = vmull_s8(vget_high_s8(v0_1ls), vget_high_s8(v1_1ls));
const int16x8_t ph1l = vmull_s8(vget_low_s8 (v0_1hs), vget_low_s8 (v1_1hs));
const int16x8_t ph1h = vmull_s8(vget_high_s8(v0_1hs), vget_high_s8(v1_1hs));
const int16x8_t pl_0 = vaddq_s16(pl0l, pl0h);
const int16x8_t ph_0 = vaddq_s16(ph0l, ph0h);
const int16x8_t pl_1 = vaddq_s16(pl1l, pl1h);
const int16x8_t ph_1 = vaddq_s16(ph1l, ph1h);
const int16x8_t p_0 = vaddq_s16(pl_0, ph_0);
const int16x8_t p_1 = vaddq_s16(pl_1, ph_1);
sum0 += x0->d*y0->d*vaddvq_s16(p_0);
sum1 += x1->d*y1->d*vaddvq_s16(p_1);
#endif
}
sumf = sum0 + sum1;
#elif defined(__AVX512F__)
// Initialize accumulator with zeros
__m512 acc0 = _mm512_setzero_ps();
__m512 acc1 = _mm512_setzero_ps();
const int superblock_size = 16;
const int superblock_count = nb / superblock_size;
for (int superblock_ix = 0; superblock_ix < superblock_count; superblock_ix += 1) {
int i = superblock_ix * superblock_size;
acc0 = dot_q4_0_twoblocks_avx512( acc0, x, y, i+0 );
acc1 = dot_q4_0_twoblocks_avx512( acc1, x, y, i+2 );
acc0 = dot_q4_0_twoblocks_avx512( acc0, x, y, i+4 );
acc1 = dot_q4_0_twoblocks_avx512( acc1, x, y, i+6 );
acc0 = dot_q4_0_twoblocks_avx512( acc0, x, y, i+8 );
acc1 = dot_q4_0_twoblocks_avx512( acc1, x, y, i+10 );
acc0 = dot_q4_0_twoblocks_avx512( acc0, x, y, i+12 );
acc1 = dot_q4_0_twoblocks_avx512( acc1, x, y, i+14 );
}
// Remainders
for (int i = superblock_count * superblock_size; i < nb; i += 2) {
acc0 = dot_q4_0_twoblocks_avx512( acc0, x, y, i );
}
// Horizontal sum of all lanes of the accumulator
sumf = _mm512_reduce_add_ps( acc0 ) + _mm512_reduce_add_ps( acc1 );
#elif defined(__AVX2__)
// Initialize accumulator with zeros
__m256 acc = _mm256_setzero_ps();
/* Prepare the constants we will need during execution */
const __m256i lowMask = _mm256_set1_epi8( 0xF );
const __m256i offset_8 = _mm256_set1_epi16( 8 );
#define UNROLL_COUNT 8
// make sure we only unroll multiples of the block count
assert(nb % UNROLL_COUNT == 0);
// Main loop
for (int i = 0; i < nb; i+=UNROLL_COUNT) {
// This loop will be unrolled by the compiler
for (int u=0;u<UNROLL_COUNT;u++) {
/* Compute combined scale for the block */
const __m256 scale = _mm256_mul_ps(
_mm256_broadcast_ss( &x[i+u].d ),
_mm256_broadcast_ss( &y[i+u].d ) );
/* get input from x
Input: 32 Nibbles (16 bytes) at *x[i+u]
Output: 2 vectors with 16 values of type int16_t (x_high_q, x_low_q) */
/* Load 16 bytes from memory */
const __m128i tmp_x = _mm_loadu_si128( ( const __m128i* ) x[i+u].qs);
/* Expand bytes into uint16_t values */
const __m256i bytes_x = _mm256_cvtepu8_epi16(tmp_x);
/* Unpack values into individual bytes */
__m256i x_low_q = _mm256_and_si256( lowMask, bytes_x );
const __m256i pre_shift_x_high_q = _mm256_andnot_si256( lowMask, bytes_x );
__m256i x_high_q = _mm256_srli_epi16( pre_shift_x_high_q, 4 );
/* Now we have two vectors with bytes in [ 0 .. 15 ] interval. Offset them into [ -8 .. +7 ] interval. */
x_high_q = _mm256_sub_epi16( x_high_q, offset_8 );
x_low_q = _mm256_sub_epi16( x_low_q, offset_8 );
/* get input from y
Input: 32 Nibbles (16 bytes) at *y[i+u]
Output: 2 vectors with 16 values of type int16_t (y_high_q, y_low_q) */
/* Load 16 bytes from memory */
const __m128i tmp_y = _mm_loadu_si128( (const __m128i* ) y[i+u].qs);
/* Expand bytes into uint16_t values */
const __m256i bytes_y = _mm256_cvtepu8_epi16(tmp_y);
/* Unpack values into individual bytes */
const __m256i pre_shift_y_high_q = _mm256_andnot_si256( lowMask, bytes_y );
__m256i y_high_q = _mm256_srli_epi16( pre_shift_y_high_q, 4 );
__m256i y_low_q = _mm256_and_si256( lowMask, bytes_y );
/* Now we have two vectors with bytes in [ 0 .. 15 ] interval. Offset them into [ -8 .. +7 ] interval. */
y_high_q = _mm256_sub_epi16( y_high_q, offset_8 );
y_low_q = _mm256_sub_epi16( y_low_q, offset_8 );
/* Compute products of int16_t integers, add pairwise, store as int32_t */
__m256i xy_high_q = _mm256_madd_epi16( x_high_q, y_high_q );
__m256i xy_low_q = _mm256_madd_epi16( x_low_q, y_low_q );
/* Accumulate the products of int32_t integers -> we now have a vector of 8 int_32t */
__m256i xy_q = _mm256_add_epi32( xy_high_q, xy_low_q );
/* Convert to vectore of 8 int32_t to 8 floats */
__m256 q = _mm256_cvtepi32_ps( xy_q );
/* Multiply q with scale and accumulate */
acc = _mm256_fmadd_ps( scale, q, acc );
}
}
// Return horizontal sum of the acc vector
__m128 res = _mm256_extractf128_ps( acc, 1 );
res = _mm_add_ps( res, _mm256_castps256_ps128( acc ) );
res = _mm_add_ps( res, _mm_movehl_ps( res, res ) );
res = _mm_add_ss( res, _mm_movehdup_ps( res ) );
sumf = _mm_cvtss_f32( res );
#elif defined(__AVX__)
// Initialize accumulator with zeros
__m256 acc = _mm256_setzero_ps();
// Main loop
for (int i = 0; i < nb; ++i) {
// Compute combined scale for the block
const __m256 d = _mm256_mul_ps( _mm256_broadcast_ss( &x[i].d ), _mm256_broadcast_ss( &y[i].d ) );
__m128i i32[2];
for (int j = 0; j < 2; ++j) {
// Load 8 bytes, and unpack 4 bit fields into bytes, making 16 bytes
__m128i bx = bytesFromNibbles( x[i].qs + 8*j );
__m128i by = bytesFromNibbles( y[i].qs + 8*j );
// Now we have a vector with bytes in [ 0 .. 15 ] interval. Offset them into [ -8 .. +7 ] interval.
const __m128i off = _mm_set1_epi8( 8 );
bx = _mm_sub_epi8( bx, off );
by = _mm_sub_epi8( by, off );
// Get absolute values of x vectors
const __m128i ax = _mm_sign_epi8(bx, bx);
// Sign the values of the y vectors
const __m128i sy = _mm_sign_epi8(by, bx);
// Perform multiplication and create 16-bit values
const __m128i dot = _mm_maddubs_epi16(ax, sy);
const __m128i ones = _mm_set1_epi16(1);
i32[j] = _mm_madd_epi16(ones, dot);
}
// Convert int32_t to float
__m256 p = _mm256_cvtepi32_ps( _mm256_set_m128i( i32[0], i32[1] ));
// Apply the scale, and accumulate
acc = _mm256_add_ps(_mm256_mul_ps( d, p ), acc);
}
// Return horizontal sum of the acc vector
__m128 res = _mm256_extractf128_ps( acc, 1 );
res = _mm_add_ps( res, _mm256_castps256_ps128( acc ) );
res = _mm_add_ps( res, _mm_movehl_ps( res, res ) );
res = _mm_add_ss( res, _mm_movehdup_ps( res ) );
sumf = _mm_cvtss_f32( res );
#elif defined(__wasm_simd128__)
// wasm simd
float sum0 = 0.0f;
float sum1 = 0.0f;
for (int i = 0; i < nb; i += 2) {
const block_q4_0 * restrict x0 = &x[i + 0];
const block_q4_0 * restrict y0 = &y[i + 0];
const block_q4_0 * restrict x1 = &x[i + 1];
const block_q4_0 * restrict y1 = &y[i + 1];
const v128_t m4b = wasm_u8x16_splat(0xf);
const v128_t s8b = wasm_i8x16_splat(0x8);
const v128_t v0_0 = wasm_v128_load(x0->qs);
const v128_t v0_1 = wasm_v128_load(y0->qs);
const v128_t v1_0 = wasm_v128_load(x1->qs);
const v128_t v1_1 = wasm_v128_load(y1->qs);
// 4-bit -> 8-bit
const v128_t v0_0l = wasm_v128_and(v0_0, m4b);
const v128_t v1_0l = wasm_v128_and(v1_0, m4b);
const v128_t v0_0h = wasm_u8x16_shr(v0_0, 4);
const v128_t v1_0h = wasm_u8x16_shr(v1_0, 4);
const v128_t v0_1l = wasm_v128_and(v0_1, m4b);
const v128_t v1_1l = wasm_v128_and(v1_1, m4b);
const v128_t v0_1h = wasm_u8x16_shr(v0_1, 4);
const v128_t v1_1h = wasm_u8x16_shr(v1_1, 4);
// sub 8
const v128_t v0_0ls = wasm_i8x16_sub(v0_0l, s8b);
const v128_t v1_0ls = wasm_i8x16_sub(v1_0l, s8b);
const v128_t v0_0hs = wasm_i8x16_sub(v0_0h, s8b);
const v128_t v1_0hs = wasm_i8x16_sub(v1_0h, s8b);
const v128_t v0_1ls = wasm_i8x16_sub(v0_1l, s8b);
const v128_t v1_1ls = wasm_i8x16_sub(v1_1l, s8b);
const v128_t v0_1hs = wasm_i8x16_sub(v0_1h, s8b);
const v128_t v1_1hs = wasm_i8x16_sub(v1_1h, s8b);
// dot product into int16x8_t
const v128_t pl0l = wasm_i16x8_mul(wasm_i16x8_extend_low_i8x16(v0_0ls), wasm_i16x8_extend_low_i8x16(v1_0ls));
const v128_t pl0h = wasm_i16x8_mul(wasm_i16x8_extend_high_i8x16(v0_0ls), wasm_i16x8_extend_high_i8x16(v1_0ls));
const v128_t ph0l = wasm_i16x8_mul(wasm_i16x8_extend_low_i8x16(v0_0hs), wasm_i16x8_extend_low_i8x16(v1_0hs));
const v128_t ph0h = wasm_i16x8_mul(wasm_i16x8_extend_high_i8x16(v0_0hs), wasm_i16x8_extend_high_i8x16(v1_0hs));
const v128_t pl1l = wasm_i16x8_mul(wasm_i16x8_extend_low_i8x16(v0_1ls), wasm_i16x8_extend_low_i8x16(v1_1ls));
const v128_t pl1h = wasm_i16x8_mul(wasm_i16x8_extend_high_i8x16(v0_1ls), wasm_i16x8_extend_high_i8x16(v1_1ls));
const v128_t ph1l = wasm_i16x8_mul(wasm_i16x8_extend_low_i8x16(v0_1hs), wasm_i16x8_extend_low_i8x16(v1_1hs));
const v128_t ph1h = wasm_i16x8_mul(wasm_i16x8_extend_high_i8x16(v0_1hs), wasm_i16x8_extend_high_i8x16(v1_1hs));
const v128_t pl_0 = wasm_i16x8_add(pl0l, pl0h);
const v128_t ph_0 = wasm_i16x8_add(ph0l, ph0h);
const v128_t pl_1 = wasm_i16x8_add(pl1l, pl1h);
const v128_t ph_1 = wasm_i16x8_add(ph1l, ph1h);
const v128_t p_0 = wasm_i16x8_add(pl_0, ph_0);
const v128_t p_1 = wasm_i16x8_add(pl_1, ph_1);
sum0 += x0->d * y0->d * (
wasm_i16x8_extract_lane(p_0, 0) + wasm_i16x8_extract_lane(p_0, 1) +
wasm_i16x8_extract_lane(p_0, 2) + wasm_i16x8_extract_lane(p_0, 3) +
wasm_i16x8_extract_lane(p_0, 4) + wasm_i16x8_extract_lane(p_0, 5) +
wasm_i16x8_extract_lane(p_0, 6) + wasm_i16x8_extract_lane(p_0, 7));
sum1 += x1->d * y1->d * (
wasm_i16x8_extract_lane(p_1, 0) + wasm_i16x8_extract_lane(p_1, 1) +
wasm_i16x8_extract_lane(p_1, 2) + wasm_i16x8_extract_lane(p_1, 3) +
wasm_i16x8_extract_lane(p_1, 4) + wasm_i16x8_extract_lane(p_1, 5) +
wasm_i16x8_extract_lane(p_1, 6) + wasm_i16x8_extract_lane(p_1, 7));
}
sumf = sum0 + sum1;
#else
// scalar
for (int i = 0; i < nb; i++) {
const float d0 = x[i].d;
const float d1 = y[i].d;
const uint8_t * restrict p0 = x[i].qs;
const uint8_t * restrict p1 = y[i].qs;
int sumi = 0;
for (int j = 0; j < QK4_0/2; j++) {
const uint8_t v0 = p0[j];
const uint8_t v1 = p1[j];
const int i0 = (v0 & 0xf) - 8;
const int i1 = (v0 >> 4) - 8;
const int i2 = (v1 & 0xf) - 8;
const int i3 = (v1 >> 4) - 8;
sumi += i0*i2 + i1*i3;
}
sumf += d0 * d1 * sumi;
}
#endif
*s = sumf;
}
static void ggml_vec_dot_q4_1(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
const int nb = n / QK4_1;
@ -11064,7 +10724,7 @@ void ggml_graph_compute(struct ggml_context * ctx, struct ggml_cgraph * cgraph)
#endif
} else if (node->src0->type == GGML_TYPE_F32 && node->src1->type == GGML_TYPE_F32) {
cur = 0;
} else if (quantize_fns[node->src0->type].vec_dot_q && node->src1->type == GGML_TYPE_F32) {
} else if (ggml_is_quantized(node->src0->type) && node->src1->type == GGML_TYPE_F32) {
#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) || defined(GGML_USE_CUBLAS)
if (ggml_compute_forward_mul_mat_use_blas(node->src0, node->src1, node)) {
node->n_tasks = 1;