Porting the improved K-Quant CUDA kernels to OpenCL (#1966)
* Added broken new q4k quant * xx + ib0 * Fix q2_k fast kernel * Use preprocessor for QK_K * Add q6_k fast matmul kernel * ported q3k speedup successfully * ported q2k and q5k speedups * remove old dot kernels and template * fixed global const struct types * fixing address spaces * fixed string too long CI issue --------- Co-authored-by: 0cc4m <picard12@live.de>
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LostRuins
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545
ggml-opencl.cpp
545
ggml-opencl.cpp
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@ -21,11 +21,19 @@
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#define CL_DMMV_BLOCK_SIZE 32
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#ifndef K_QUANTS_PER_ITERATION
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#define K_QUANTS_PER_ITERATION 1
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#else
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static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUANTS_PER_ITERATION must be 1 or 2");
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#endif
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#define MULTILINE_QUOTE(...) #__VA_ARGS__
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static std::string program_source = MULTILINE_QUOTE(
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typedef char int8_t;
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typedef uchar uint8_t;
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typedef short int16_t;
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typedef ushort uint16_t;
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typedef int int32_t;
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typedef uint uint32_t;
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@ -175,7 +183,9 @@ void convert_f16(__global half* x, const int ib, const int iqs, float* v0, float
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*v0 = vload_half(0, &x[ib + 0]);
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*v1 = vload_half(0, &x[ib + 1]);
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}
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);
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static std::string k_quants_source = MULTILINE_QUOTE(
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inline void get_scale_min_k4(int j, const __global uint8_t *q, uint8_t *d, uint8_t *m)
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{
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if (j < 4)
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@ -199,7 +209,7 @@ __kernel void dequantize_block_q2_K(__global const struct block_q2_K *x, __globa
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const int is = 8 * n + l / 16;
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const uint8_t q = x[i].qs[32 * n + l];
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__global float *y = yy + i * 256 + 128 * n;
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__global float *y = yy + i * QK_K + 128 * n;
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const float dall = vload_half(0, &x[i].d);
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const float dmin = vload_half(0, &x[i].dmin);
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@ -231,7 +241,7 @@ __kernel void dequantize_block_q3_K(__global const struct block_q3_K *x, __globa
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float d_all = vload_half(0, &x[i].d);
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float dl = d_all * (us - 32);
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__global float *y = yy + i * 256 + 128 * n + 32 * j;
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__global float *y = yy + i * QK_K + 128 * n + 32 * j;
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const __global uint8_t *q = x[i].qs + 32 * n;
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const __global uint8_t *hm = x[i].hmask;
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@ -248,7 +258,7 @@ __kernel void dequantize_block_q4_K(__global const struct block_q4_K *x, __globa
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const int is = 2 * il;
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const int n = 4;
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__global float *y = yy + i * 256 + 64 * il + n * ir;
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__global float *y = yy + i * QK_K + 64 * il + n * ir;
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const float dall = vload_half(0, &x[i].d);
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const float dmin = vload_half(0, &x[i].dmin);
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@ -277,7 +287,7 @@ __kernel void dequantize_block_q5_K(__global const struct block_q5_K *x, __globa
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const int ir = tid % 16;
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const int is = 2 * il;
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__global float *y = yy + i * 256 + 64 * il + 2 * ir;
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__global float *y = yy + i * QK_K + 64 * il + 2 * ir;
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const float dall = vload_half(0, &x[i].d);
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const float dmin = vload_half(0, &x[i].dmin);
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@ -309,7 +319,7 @@ __kernel void dequantize_block_q6_K(__global const struct block_q6_K *x, __globa
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const int il = tid - 32 * ip;
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const int is = 8 * ip + il / 16;
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__global float *y = yy + i * 256 + 128 * ip + il;
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__global float *y = yy + i * QK_K + 128 * ip + il;
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const float d = vload_half(0, &x[i].d);
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@ -323,161 +333,383 @@ __kernel void dequantize_block_q6_K(__global const struct block_q6_K *x, __globa
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y[96] = d * sc[6] * ((int8_t)((ql[32] >> 4) | (((qh >> 6) & 3) << 4)) - 32);
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}
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__kernel void dequantize_mul_mat_vec_q2_K(__global const struct block_q2_K * xx, __local float* tmp, __global float* yy, __global float* dst, const int ncols) {
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void vec_dot_q2_K(__global const struct block_q2_K* x, const int ib, const int iqs, const __global float *yy, float *result) {
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const int row = get_group_id(0);
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int n = iqs / 128;
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int r = iqs - 128 * n;
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int l = r / 8;
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const int num_blocks_per_row = ncols / QK_K;
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const int ib0 = row*num_blocks_per_row;
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__global const float *y = yy + 128 * n + l;
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__global const uint8_t *q = x[ib].qs + 32 * n + l;
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__global const uint8_t *s = x[ib].scales + 8 * n;
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__global const struct block_q2_K * x = xx + ib0;
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const float dall = vload_half(0, &x[ib].d);
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const float dmin = vload_half(0, &x[ib].dmin);
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const int tid = get_local_id(0)/K_QUANTS_PER_ITERATION; // 0...31 or 0...15
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const int ix = get_local_id(0)%K_QUANTS_PER_ITERATION; // 0 or 0,1
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float sum = y[ 0] * (dall * ((s[0] & 0xF) * ((q[ 0] >> 0) & 3)) - dmin * (s[0] >> 4))
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+ y[ 32] * (dall * ((s[2] & 0xF) * ((q[ 0] >> 2) & 3)) - dmin * (s[2] >> 4))
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+ y[ 64] * (dall * ((s[4] & 0xF) * ((q[ 0] >> 4) & 3)) - dmin * (s[4] >> 4))
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+ y[ 96] * (dall * ((s[6] & 0xF) * ((q[ 0] >> 6) & 3)) - dmin * (s[6] >> 4))
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+ y[ 16] * (dall * ((s[1] & 0xF) * ((q[16] >> 0) & 3)) - dmin * (s[1] >> 4))
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+ y[ 48] * (dall * ((s[3] & 0xF) * ((q[16] >> 2) & 3)) - dmin * (s[3] >> 4))
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+ y[ 80] * (dall * ((s[5] & 0xF) * ((q[16] >> 4) & 3)) - dmin * (s[5] >> 4))
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+ y[112] * (dall * ((s[7] & 0xF) * ((q[16] >> 6) & 3)) - dmin * (s[7] >> 4));
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const int step = 16/K_QUANTS_PER_ITERATION;
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*result = sum;
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}
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const int im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128...
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const int in = tid - step*im; // 0...15 or 0...7
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void vec_dot_q3_K(__global const struct block_q3_K* x, const int ib, const int iqs, const __global float *yy, float *result) {
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const int l0 = K_QUANTS_PER_ITERATION*in; // 0...15 or 0...14 in steps of 2
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const int q_offset = 32*im + l0;
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const int s_offset = 8*im;
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const int y_offset = 128*im + l0;
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const uint32_t kmask1 = 0x03030303;
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const uint32_t kmask2 = 0x0f0f0f0f;
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tmp[16 * ix + tid] = 0;
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uint32_t aux[3];
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uint32_t utmp[4];
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uint32_t aux[4];
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const uint8_t * d = (const uint8_t *)aux;
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const uint8_t * m = (const uint8_t *)(aux + 2);
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int n = iqs/128;
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int r = iqs - 128*n;
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int l = r/8;
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for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
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__global const float * y = yy + 128*n + l;
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__global const uint8_t * q = x[ib].qs + 32*n + l;
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__global const uint8_t * hm = x[ib].hmask + l;
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const int8_t * s = (const int8_t *)utmp + 8*n;
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__global const float * y = yy + i * QK_K + y_offset;
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__global const uint8_t * q = x[i].qs + q_offset;
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aux[0] = x[ib].scales[0] | x[ib].scales[1] << 8 | x[ib].scales[2] << 16 | x[ib].scales[3] << 24;
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aux[1] = x[ib].scales[4] | x[ib].scales[5] << 8 | x[ib].scales[6] << 16 | x[ib].scales[7] << 24;
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aux[2] = x[ib].scales[8] | x[ib].scales[9] << 8 | x[ib].scales[10] << 16 | x[ib].scales[11] << 24;
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const float dall = vload_half(0, &x[i].d);
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const float dmin = vload_half(0, &x[i].dmin);
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utmp[3] = ((aux[1] >> 4) & kmask2) | (((aux[2] >> 6) & kmask1) << 4);
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utmp[2] = ((aux[0] >> 4) & kmask2) | (((aux[2] >> 4) & kmask1) << 4);
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utmp[1] = (aux[1] & kmask2) | (((aux[2] >> 2) & kmask1) << 4);
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utmp[0] = (aux[0] & kmask2) | (((aux[2] >> 0) & kmask1) << 4);
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__global const uint32_t * a = (__global const uint32_t *)(x[i].scales + s_offset);
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aux[0] = a[0] & 0x0f0f0f0f;
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aux[1] = a[1] & 0x0f0f0f0f;
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aux[2] = (a[0] >> 4) & 0x0f0f0f0f;
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aux[3] = (a[1] >> 4) & 0x0f0f0f0f;
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const float dall = vload_half(0, &x[ib].d);
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const uint8_t m = 1 << (4*n);
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float sum1 = 0, sum2 = 0;
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for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
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sum1 += y[l+ 0] * d[0] * ((q[l+ 0] >> 0) & 3)
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+ y[l+32] * d[2] * ((q[l+ 0] >> 2) & 3)
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+ y[l+64] * d[4] * ((q[l+ 0] >> 4) & 3)
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+ y[l+96] * d[6] * ((q[l+ 0] >> 6) & 3)
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+ y[l+16] * d[1] * ((q[l+16] >> 0) & 3)
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+ y[l+48] * d[3] * ((q[l+16] >> 2) & 3)
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+ y[l+80] * d[5] * ((q[l+16] >> 4) & 3)
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+y[l+112] * d[7] * ((q[l+16] >> 6) & 3);
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sum2 += y[l+ 0] * m[0] + y[l+32] * m[2] + y[l+64] * m[4] + y[ l+96] * m[6]
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+ y[l+16] * m[1] + y[l+48] * m[3] + y[l+80] * m[5] + y[l+112] * m[7];
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float sum = y[ 0] * (s[0] - 32) * (((q[ 0] >> 0) & 3) - (hm[ 0] & (m << 0) ? 0 : 4))
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+ y[ 32] * (s[2] - 32) * (((q[ 0] >> 2) & 3) - (hm[ 0] & (m << 1) ? 0 : 4))
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+ y[ 64] * (s[4] - 32) * (((q[ 0] >> 4) & 3) - (hm[ 0] & (m << 2) ? 0 : 4))
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+ y[ 96] * (s[6] - 32) * (((q[ 0] >> 6) & 3) - (hm[ 0] & (m << 3) ? 0 : 4))
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+ y[ 16] * (s[1] - 32) * (((q[16] >> 0) & 3) - (hm[16] & (m << 0) ? 0 : 4))
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+ y[ 48] * (s[3] - 32) * (((q[16] >> 2) & 3) - (hm[16] & (m << 1) ? 0 : 4))
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+ y[ 80] * (s[5] - 32) * (((q[16] >> 4) & 3) - (hm[16] & (m << 2) ? 0 : 4))
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+ y[112] * (s[7] - 32) * (((q[16] >> 6) & 3) - (hm[16] & (m << 3) ? 0 : 4));
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}
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tmp[16 * ix + tid] += dall * sum1 - dmin * sum2;
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*result = sum * dall;
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}
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void vec_dot_q4_K(__global const struct block_q4_K* x, const int ib, const int iqs, const __global float *yy, float *result) {
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const int j = iqs / 64; // j is in 0...3
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const int ir = (iqs - 64*j)/2; // ir is in 0...28 in steps of 4
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const int is = 2*j; // is is in 0...6 in steps of 2
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__global const float * y = yy + 64*j + ir;
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__global const uint8_t * q = x[ib].qs + 32*j + ir;
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const float dall = vload_half(0, &x[ib].d);
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const float dmin = vload_half(0, &x[ib].dmin);
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uint8_t sc, m;
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get_scale_min_k4(is + 0, x[ib].scales, &sc, &m);
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const float d1 = dall * sc;
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const float m1 = dmin * m;
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get_scale_min_k4(is + 1, x[ib].scales, &sc, &m);
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const float d2 = dall * sc;
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const float m2 = dmin * m;
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float sum = 0;
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for (int k = 0; k < 4; ++k) {
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sum += y[k + 0] * (d1 * (q[k] & 0xF) - m1);
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sum += y[k + 32] * (d2 * (q[k] >> 4) - m2);
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}
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*result = sum;
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// sum up partial sums and write back result
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barrier(CLK_LOCAL_MEM_FENCE);
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for (int s=16; s>0; s>>=1) {
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if (tid < s) {
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tmp[tid] += tmp[tid + s];
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}
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barrier(CLK_LOCAL_MEM_FENCE);
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}
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if (tid == 0) {
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dst[row] = tmp[0];
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}
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}
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void vec_dot_q5_K(__global const struct block_q5_K* x, const int ib, const int iqs, const __global float *yy, float *result) {
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__kernel void dequantize_mul_mat_vec_q3_K(__global const struct block_q3_K * xx, __local float* tmp, __global float* yy, __global float* dst, const int ncols) {
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const uint16_t kmask1 = 0x0303;
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const uint16_t kmask2 = 0x0f0f;
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const int j = iqs / 64;
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const int ir = (iqs - 64*j)/2;
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const int is = 2*j;
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const int row = get_group_id(0);
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__global const float * y = yy + 64*j + ir;
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__global const uint8_t * ql = x[ib].qs + 32*j + ir;
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__global const uint8_t * qh = x[ib].qh + ir;
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const int num_blocks_per_row = ncols / QK_K;
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const int ib0 = row*num_blocks_per_row;
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const float dall = vload_half(0, &x[ib].d);
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const float dmin = vload_half(0, &x[ib].dmin);
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__global const struct block_q3_K * x = xx + ib0;
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uint8_t sc, m;
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get_scale_min_k4(is + 0, x[ib].scales, &sc, &m);
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const float d1 = dall * sc;
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const float m1 = dmin * m;
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get_scale_min_k4(is + 1, x[ib].scales, &sc, &m);
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const float d2 = dall * sc;
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const float m2 = dmin * m;
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const int tid = get_local_id(0)/K_QUANTS_PER_ITERATION; // 0...31 or 0...16
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const int ix = get_local_id(0)%K_QUANTS_PER_ITERATION; // 0 or 0,1
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const int n = K_QUANTS_PER_ITERATION; // iterations in the inner loop
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const int step = 16/K_QUANTS_PER_ITERATION;
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const int im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128...
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const int in = tid - step*im; // 0....15 or 0...7
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const uint8_t m = 1 << (4*im);
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const int l0 = n*in; // 0...15 or 0...14 in steps of 2
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const int q_offset = 32*im + l0;
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const int y_offset = 128*im + l0;
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uint16_t utmp[4];
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const int8_t * s = (const int8_t *)utmp;
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const uint16_t s_shift = 4*im;
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tmp[16 * ix + tid] = 0;
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for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
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__global const float * y = yy + i * QK_K + y_offset;
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__global const uint8_t * q = x[i].qs + q_offset;
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__global const uint8_t * h = x[i].hmask + l0;
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__global const uint16_t * a = (__global const uint16_t *)x[i].scales;
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utmp[0] = ((a[0] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 0)) & kmask1) << 4);
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utmp[1] = ((a[1] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 0)) & kmask1) << 4);
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utmp[2] = ((a[2] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 2)) & kmask1) << 4);
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utmp[3] = ((a[3] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 2)) & kmask1) << 4);
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const float d = vload_half(0, &x[i].d);
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float sum = 0;
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for (int l = 0; l < n; ++l) {
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sum += y[l+ 0] * (s[0] - 32) * (((q[l] >> 0) & 3) - (h[l] & (m << 0) ? 0 : 4))
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+ y[l+32] * (s[2] - 32) * (((q[l] >> 2) & 3) - (h[l] & (m << 1) ? 0 : 4))
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+ y[l+64] * (s[4] - 32) * (((q[l] >> 4) & 3) - (h[l] & (m << 2) ? 0 : 4))
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+ y[l+96] * (s[6] - 32) * (((q[l] >> 6) & 3) - (h[l] & (m << 3) ? 0 : 4));
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sum += y[l+16] * (s[1] - 32) * (((q[l+16] >> 0) & 3) - (h[l+16] & (m << 0) ? 0 : 4))
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+ y[l+48] * (s[3] - 32) * (((q[l+16] >> 2) & 3) - (h[l+16] & (m << 1) ? 0 : 4))
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+ y[l+80] * (s[5] - 32) * (((q[l+16] >> 4) & 3) - (h[l+16] & (m << 2) ? 0 : 4))
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+ y[l+112] * (s[7] - 32) * (((q[l+16] >> 6) & 3) - (h[l+16] & (m << 3) ? 0 : 4));
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}
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tmp[16 * ix + tid] += d * sum;
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uint8_t hm = 1 << is;
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float sum = 0;
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for (int k = 0; k < 4; ++k) {
|
||||
sum += y[k + 0] * (d1 * ((ql[k] & 0xF) + (qh[k] & hm ? 16 : 0)) - m1);
|
||||
}
|
||||
hm <<= 1;
|
||||
for (int k = 0; k < 4; ++k) {
|
||||
sum += y[k + 32] * (d2 * ((ql[k] >> 4) + (qh[k] & hm ? 16 : 0)) - m2);
|
||||
}
|
||||
*result = sum;
|
||||
|
||||
// sum up partial sums and write back result
|
||||
barrier(CLK_LOCAL_MEM_FENCE);
|
||||
for (int s=16; s>0; s>>=1) {
|
||||
if (tid < s) {
|
||||
tmp[tid] += tmp[tid + s];
|
||||
}
|
||||
barrier(CLK_LOCAL_MEM_FENCE);
|
||||
}
|
||||
if (tid == 0) {
|
||||
dst[row] = tmp[0];
|
||||
}
|
||||
}
|
||||
|
||||
void vec_dot_q6_K(__global const struct block_q6_K* x, const int ib, const int iqs, const __global float *yy, float *result) {
|
||||
__kernel void dequantize_mul_mat_vec_q4_K(__global const struct block_q4_K * xx, __local float* tmp, __global float* yy, __global float* dst, const int ncols) {
|
||||
|
||||
//to rename it later, just to test now
|
||||
const uint16_t kmask1 = 0x3f3f;
|
||||
const uint16_t kmask2 = 0x0f0f;
|
||||
const uint16_t kmask3 = 0xc0c0;
|
||||
|
||||
const int ip = iqs / 128; // 0 or 1
|
||||
const int il = (iqs - 128*ip)/8; // 0...15
|
||||
const int is = 8*ip;
|
||||
const int row = get_group_id(0);
|
||||
const int num_blocks_per_row = ncols / QK_K;
|
||||
const int ib0 = row*num_blocks_per_row;
|
||||
|
||||
__global const float * y = yy + 128*ip + il;
|
||||
const int tid = get_local_id(0)/K_QUANTS_PER_ITERATION; // 0...15
|
||||
const int ix = get_local_id(0)%K_QUANTS_PER_ITERATION;
|
||||
|
||||
const float d = vload_half(0, &x[ib].d);
|
||||
const int step = 8/K_QUANTS_PER_ITERATION;
|
||||
|
||||
__global const uint8_t * ql = x[ib].ql + 64*ip + il;
|
||||
__global const uint8_t * qh = x[ib].qh + 32*ip + il;
|
||||
__global const int8_t * sc = x[ib].scales + is;
|
||||
const int il = tid/step; // 0...3
|
||||
const int ir = tid - step*il;// 0...3
|
||||
const int n = 2*K_QUANTS_PER_ITERATION;
|
||||
|
||||
*result = y[ 0] * d * sc[0] * ((int8_t)((ql[ 0] & 0xF) | (((qh[ 0] >> 0) & 3) << 4)) - 32)
|
||||
+ y[ 32] * d * sc[2] * ((int8_t)((ql[32] & 0xF) | (((qh[ 0] >> 2) & 3) << 4)) - 32)
|
||||
+ y[ 64] * d * sc[4] * ((int8_t)((ql[ 0] >> 4) | (((qh[ 0] >> 4) & 3) << 4)) - 32)
|
||||
+ y[ 96] * d * sc[6] * ((int8_t)((ql[32] >> 4) | (((qh[ 0] >> 6) & 3) << 4)) - 32)
|
||||
+ y[ 16] * d * sc[1] * ((int8_t)((ql[16] & 0xF) | (((qh[16] >> 0) & 3) << 4)) - 32)
|
||||
+ y[ 48] * d * sc[3] * ((int8_t)((ql[48] & 0xF) | (((qh[16] >> 2) & 3) << 4)) - 32)
|
||||
+ y[ 80] * d * sc[5] * ((int8_t)((ql[16] >> 4) | (((qh[16] >> 4) & 3) << 4)) - 32)
|
||||
+ y[112] * d * sc[7] * ((int8_t)((ql[48] >> 4) | (((qh[16] >> 6) & 3) << 4)) - 32);
|
||||
const int im = il/2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
|
||||
const int in = il%2;
|
||||
|
||||
const int l0 = n*(2*ir + in);
|
||||
const int q_offset = 32*im + l0;
|
||||
const int y_offset = 64*im + l0;
|
||||
|
||||
uint16_t aux[4];
|
||||
const uint8_t * sc = (const uint8_t *)aux;
|
||||
|
||||
__global const struct block_q4_K * x = xx + ib0;
|
||||
|
||||
tmp[16 * ix + tid] = 0;
|
||||
|
||||
for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
|
||||
|
||||
__global const uint8_t * q1 = x[i].qs + q_offset;
|
||||
__global const uint8_t * q2 = q1 + 64;
|
||||
__global const float * y1 = yy + i*QK_K + y_offset;
|
||||
__global const float * y2 = y1 + 128;
|
||||
|
||||
const float dall = vload_half(0, &x[i].d);
|
||||
const float dmin = vload_half(0, &x[i].dmin);
|
||||
|
||||
__global const uint16_t * a = (__global const uint16_t *)x[i].scales;
|
||||
aux[0] = a[im+0] & kmask1;
|
||||
aux[1] = a[im+2] & kmask1;
|
||||
aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2);
|
||||
aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2);
|
||||
|
||||
float4 s = (float4)(0.f);
|
||||
float smin = 0;
|
||||
for (int l = 0; l < n; ++l) {
|
||||
s.x += y1[l] * (q1[l] & 0xF); s.y += y1[l+32] * (q1[l] >> 4);
|
||||
s.z += y2[l] * (q2[l] & 0xF); s.w += y2[l+32] * (q2[l] >> 4);
|
||||
smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7];
|
||||
}
|
||||
tmp[16 * ix + tid] += dall * (s.x * sc[0] + s.y * sc[1] + s.z * sc[4] + s.w * sc[5]) - dmin * smin;
|
||||
|
||||
}
|
||||
|
||||
// sum up partial sums and write back result
|
||||
barrier(CLK_LOCAL_MEM_FENCE);
|
||||
for (int s=16; s>0; s>>=1) {
|
||||
if (tid < s) {
|
||||
tmp[tid] += tmp[tid + s];
|
||||
}
|
||||
barrier(CLK_LOCAL_MEM_FENCE);
|
||||
}
|
||||
if (tid == 0) {
|
||||
dst[row] = tmp[0];
|
||||
}
|
||||
}
|
||||
|
||||
__kernel void dequantize_mul_mat_vec_q5_K(__global const struct block_q5_K * xx, __local float* tmp, __global float* yy, __global float* dst, const int ncols) {
|
||||
|
||||
const uint16_t kmask1 = 0x3f3f;
|
||||
const uint16_t kmask2 = 0x0f0f;
|
||||
const uint16_t kmask3 = 0xc0c0;
|
||||
|
||||
const int row = get_group_id(0);
|
||||
const int num_blocks_per_row = ncols / QK_K;
|
||||
const int ib0 = row*num_blocks_per_row;
|
||||
|
||||
const int tid = get_local_id(0)/2; // 0...15
|
||||
const int ix = get_local_id(0)%2;
|
||||
|
||||
const int il = tid/4; // 0...3
|
||||
const int ir = tid - 4*il;// 0...3
|
||||
const int n = 2;
|
||||
|
||||
const int im = il/2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
|
||||
const int in = il%2;
|
||||
|
||||
const int l0 = n*(2*ir + in);
|
||||
const int q_offset = 32*im + l0;
|
||||
const int y_offset = 64*im + l0;
|
||||
|
||||
const uint8_t hm1 = 1 << (2*im);
|
||||
const uint8_t hm2 = hm1 << 4;
|
||||
|
||||
uint16_t aux[4];
|
||||
const uint8_t * sc = (const uint8_t *)aux;
|
||||
|
||||
__global const struct block_q5_K * x = xx + ib0;
|
||||
|
||||
tmp[16 * ix + tid] = 0;
|
||||
|
||||
for (int i = ix; i < num_blocks_per_row; i += 2) {
|
||||
|
||||
__global const uint8_t * ql1 = x[i].qs + q_offset;
|
||||
__global const uint8_t * ql2 = ql1 + 64;
|
||||
__global const uint8_t * qh = x[i].qh + l0;
|
||||
__global const float * y1 = yy + i*QK_K + y_offset;
|
||||
__global const float * y2 = y1 + 128;
|
||||
|
||||
const float dall = vload_half(0, &x[i].d);
|
||||
const float dmin = vload_half(0, &x[i].dmin);
|
||||
|
||||
__global const uint16_t * a = (__global const uint16_t *)x[i].scales;
|
||||
aux[0] = a[im+0] & kmask1;
|
||||
aux[1] = a[im+2] & kmask1;
|
||||
aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2);
|
||||
aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2);
|
||||
|
||||
float4 sum = (float4)(0.f);
|
||||
float smin = 0;
|
||||
for (int l = 0; l < n; ++l) {
|
||||
sum.x += y1[l+ 0] * ((ql1[l+ 0] & 0xF) + (qh[l+ 0] & (hm1 << 0) ? 16 : 0))
|
||||
+ y1[l+16] * ((ql1[l+16] & 0xF) + (qh[l+16] & (hm1 << 0) ? 16 : 0));
|
||||
sum.y += y1[l+32] * ((ql1[l+ 0] >> 4) + (qh[l+ 0] & (hm1 << 1) ? 16 : 0))
|
||||
+ y1[l+48] * ((ql1[l+16] >> 4) + (qh[l+16] & (hm1 << 1) ? 16 : 0));
|
||||
sum.z += y2[l+ 0] * ((ql2[l+ 0] & 0xF) + (qh[l+ 0] & (hm2 << 0) ? 16 : 0))
|
||||
+ y2[l+16] * ((ql2[l+16] & 0xF) + (qh[l+16] & (hm2 << 0) ? 16 : 0));
|
||||
sum.w += y2[l+32] * ((ql2[l+ 0] >> 4) + (qh[l+ 0] & (hm2 << 1) ? 16 : 0))
|
||||
+ y2[l+48] * ((ql2[l+16] >> 4) + (qh[l+16] & (hm2 << 1) ? 16 : 0));
|
||||
smin += (y1[l] + y1[l+16]) * sc[2] + (y1[l+32] + y1[l+48]) * sc[3]
|
||||
+ (y2[l] + y2[l+16]) * sc[6] + (y2[l+32] + y2[l+48]) * sc[7];
|
||||
}
|
||||
tmp[16 * ix + tid] += dall * (sum.x * sc[0] + sum.y * sc[1] + sum.z * sc[4] + sum.w * sc[5]) - dmin * smin;
|
||||
|
||||
}
|
||||
|
||||
// sum up partial sums and write back result
|
||||
barrier(CLK_LOCAL_MEM_FENCE);
|
||||
for (int s=16; s>0; s>>=1) {
|
||||
if (tid < s) {
|
||||
tmp[tid] += tmp[tid + s];
|
||||
}
|
||||
barrier(CLK_LOCAL_MEM_FENCE);
|
||||
}
|
||||
if (tid == 0) {
|
||||
dst[row] = tmp[0];
|
||||
}
|
||||
}
|
||||
|
||||
__kernel void dequantize_mul_mat_vec_q6_K(__global const struct block_q6_K * xx, __local float* tmp, __global const float * yy, __global float * dst, const int ncols) {
|
||||
|
||||
const int row = get_group_id(0);
|
||||
|
||||
const int num_blocks_per_row = ncols / QK_K;
|
||||
const int ib0 = row*num_blocks_per_row;
|
||||
|
||||
__global const struct block_q6_K * x = xx + ib0;
|
||||
|
||||
const int tid = get_local_id(0)/K_QUANTS_PER_ITERATION; // 0...31 or 0...16
|
||||
const int ix = get_local_id(0)%K_QUANTS_PER_ITERATION; // 0 or 0, 1
|
||||
|
||||
const int step = 16/K_QUANTS_PER_ITERATION; // 16 or 8
|
||||
|
||||
const int im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128...
|
||||
const int in = tid - step*im; // 0...15 or 0...7
|
||||
|
||||
#if K_QUANTS_PER_ITERATION == 1
|
||||
const int l0 = K_QUANTS_PER_ITERATION*in; // 0...15
|
||||
const int is = 0;
|
||||
#else
|
||||
const int l0 = 4 * in; // 0, 4, 8, ..., 28
|
||||
const int is = in / 4;
|
||||
#endif
|
||||
const int ql_offset = 64*im + l0;
|
||||
const int qh_offset = 32*im + l0;
|
||||
const int s_offset = 8*im + is;
|
||||
const int y_offset = 128*im + l0;
|
||||
|
||||
tmp[16 * ix + tid] = 0; // partial sum for thread in warp
|
||||
|
||||
for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
|
||||
|
||||
__global const float * y = yy + i * QK_K + y_offset;
|
||||
__global const uint8_t * ql = x[i].ql + ql_offset;
|
||||
__global const uint8_t * qh = x[i].qh + qh_offset;
|
||||
__global const int8_t * s = x[i].scales + s_offset;
|
||||
|
||||
const float d = vload_half(0, &x[i].d);
|
||||
|
||||
#if K_QUANTS_PER_ITERATION == 1
|
||||
float sum = y[ 0] * s[0] * d * ((int8_t)((ql[ 0] & 0xF) | ((qh[ 0] & 0x03) << 4)) - 32)
|
||||
+ y[16] * s[1] * d * ((int8_t)((ql[16] & 0xF) | ((qh[16] & 0x03) << 4)) - 32)
|
||||
+ y[32] * s[2] * d * ((int8_t)((ql[32] & 0xF) | ((qh[ 0] & 0x0c) << 2)) - 32)
|
||||
+ y[48] * s[3] * d * ((int8_t)((ql[48] & 0xF) | ((qh[16] & 0x0c) << 2)) - 32)
|
||||
+ y[64] * s[4] * d * ((int8_t)((ql[ 0] >> 4) | ((qh[ 0] & 0x30) >> 0)) - 32)
|
||||
+ y[80] * s[5] * d * ((int8_t)((ql[16] >> 4) | ((qh[16] & 0x30) >> 0)) - 32)
|
||||
+ y[96] * s[6] * d * ((int8_t)((ql[32] >> 4) | ((qh[ 0] & 0xc0) >> 2)) - 32)
|
||||
+y[112] * s[7] * d * ((int8_t)((ql[48] >> 4) | ((qh[16] & 0xc0) >> 2)) - 32);
|
||||
tmp[16 * ix + tid] += sum;
|
||||
#else
|
||||
float sum = 0;
|
||||
for (int l = 0; l < 4; ++l) {
|
||||
sum += y[l+ 0] * s[0] * d * ((int8_t)((ql[l+ 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32)
|
||||
+ y[l+32] * s[2] * d * ((int8_t)((ql[l+32] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32)
|
||||
+ y[l+64] * s[4] * d * ((int8_t)((ql[l+ 0] >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32)
|
||||
+ y[l+96] * s[6] * d * ((int8_t)((ql[l+32] >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32);
|
||||
}
|
||||
tmp[16 * ix + tid] += sum;
|
||||
#endif
|
||||
|
||||
}
|
||||
|
||||
// sum up partial sums and write back result
|
||||
barrier(CLK_LOCAL_MEM_FENCE);
|
||||
for (int s=16; s>0; s>>=1) {
|
||||
if (tid < s) {
|
||||
tmp[tid] += tmp[tid + s];
|
||||
}
|
||||
barrier(CLK_LOCAL_MEM_FENCE);
|
||||
}
|
||||
if (tid == 0) {
|
||||
dst[row] = tmp[0];
|
||||
}
|
||||
}
|
||||
|
||||
);
|
||||
|
|
@ -549,44 +781,6 @@ __kernel void KERNEL_NAME(__global X_TYPE* x, __local float* tmp, __global float
|
|||
}
|
||||
);
|
||||
|
||||
std::string dequant_mul_mat_vec_k_template = MULTILINE_QUOTE(
|
||||
__kernel void KERNEL_NAME(__global X_TYPE* x, __local float* tmp, __global float* y, __global float* dst, const int ncols) {
|
||||
const int block_size = get_local_size(0);
|
||||
const int row = get_group_id(0);
|
||||
const int tid = get_local_id(0);
|
||||
|
||||
const int iter_stride = 256;
|
||||
const int vals_per_iter = iter_stride / block_size;
|
||||
const int num_blocks_per_row = ncols / 256;
|
||||
const int ib0 = row*num_blocks_per_row;
|
||||
|
||||
tmp[tid] = 0;
|
||||
|
||||
for (int i = 0; i < ncols; i += iter_stride) {
|
||||
const int col = i + vals_per_iter*tid;
|
||||
const int ib = ib0 + col/256; // x block index
|
||||
const int iqs = col%256; // x quant index
|
||||
const int iybs = col - col%256; // y block start index
|
||||
|
||||
// dequantize
|
||||
float v;
|
||||
DOT_KERNEL(x, ib, iqs, y + iybs, &v);
|
||||
tmp[tid] += v;
|
||||
}
|
||||
|
||||
// sum up partial sums and write back result
|
||||
barrier(CLK_LOCAL_MEM_FENCE);
|
||||
for (int s=block_size/2; s>0; s>>=1) {
|
||||
if (tid < s) {
|
||||
tmp[tid] += tmp[tid + s];
|
||||
}
|
||||
barrier(CLK_LOCAL_MEM_FENCE);
|
||||
}
|
||||
if (tid == 0) {
|
||||
dst[row] = tmp[0];
|
||||
}
|
||||
}
|
||||
);
|
||||
|
||||
std::string mul_template = MULTILINE_QUOTE(
|
||||
__kernel void KERNEL_NAME(__global TYPE* x, const int x_offset, __global TYPE* y, const int y_offset, __global TYPE* dst, const int dst_offset, const int ky) {
|
||||
|
|
@ -649,18 +843,6 @@ std::array<std::string, 2> mul_str_values = {
|
|||
"mul_f32", "float"
|
||||
};
|
||||
|
||||
std::array<std::string, 3> dmmv_k_str_keys = {
|
||||
"KERNEL_NAME", "X_TYPE", "DOT_KERNEL"
|
||||
};
|
||||
|
||||
std::array<std::string, 15> dmmv_k_str_values = {
|
||||
"dequantize_mul_mat_vec_q2_K", "struct block_q2_K", "vec_dot_q2_K",
|
||||
"dequantize_mul_mat_vec_q3_K", "struct block_q3_K", "vec_dot_q3_K",
|
||||
"dequantize_mul_mat_vec_q4_K", "struct block_q4_K", "vec_dot_q4_K",
|
||||
"dequantize_mul_mat_vec_q5_K", "struct block_q5_K", "vec_dot_q5_K",
|
||||
"dequantize_mul_mat_vec_q6_K", "struct block_q6_K", "vec_dot_q6_K",
|
||||
};
|
||||
|
||||
std::string& replace(std::string& s, const std::string& from, const std::string& to) {
|
||||
size_t pos = 0;
|
||||
while ((pos = s.find(from, pos)) != std::string::npos) {
|
||||
|
|
@ -673,6 +855,7 @@ std::string& replace(std::string& s, const std::string& from, const std::string&
|
|||
std::string generate_kernels() {
|
||||
std::stringstream src;
|
||||
src << program_source << '\n';
|
||||
src << k_quants_source << '\n';
|
||||
for (size_t i = 0; i < dequant_str_values.size(); i += dequant_str_keys.size()) {
|
||||
std::string dequant_kernel = dequant_template;
|
||||
std::string dmmv_kernel = dequant_mul_mat_vec_template;
|
||||
|
|
@ -690,13 +873,6 @@ std::string generate_kernels() {
|
|||
}
|
||||
src << mul_kernel << '\n';
|
||||
}
|
||||
for (size_t i = 0; i < dmmv_k_str_values.size(); i += dmmv_k_str_keys.size()) {
|
||||
std::string dmmv_k_kernel = dequant_mul_mat_vec_k_template;
|
||||
for (size_t j = 0; j < dmmv_k_str_keys.size(); j++) {
|
||||
replace(dmmv_k_kernel, dmmv_k_str_keys[j], dmmv_k_str_values[i + j]);
|
||||
}
|
||||
src << dmmv_k_kernel << '\n';
|
||||
}
|
||||
|
||||
return src.str();
|
||||
}
|
||||
|
|
@ -729,10 +905,11 @@ static cl_program build_program_from_source(cl_context ctx, cl_device_id dev, co
|
|||
exit(1);
|
||||
}
|
||||
|
||||
const char* compile_opts = "-cl-mad-enable -cl-unsafe-math-optimizations -cl-finite-math-only -cl-fast-relaxed-math "
|
||||
"-DQK4_0=32 -DQR4_0=2 -DQK4_1=32 -DQR4_1=2 -DQK5_0=32 -DQR5_0=2 -DQK5_1=32 -DQR5_1=2 -DQK8_0=32 -DQR8_0=1";
|
||||
std::string compile_opts = "-cl-mad-enable -cl-unsafe-math-optimizations -cl-finite-math-only -cl-fast-relaxed-math "
|
||||
"-DQK4_0=32 -DQR4_0=2 -DQK4_1=32 -DQR4_1=2 -DQK5_0=32 -DQR5_0=2 -DQK5_1=32 -DQR5_1=2 -DQK8_0=32 -DQR8_0=1 "
|
||||
"-DQK_K=256 -DK_QUANTS_PER_ITERATION=" + std::to_string(K_QUANTS_PER_ITERATION);
|
||||
|
||||
err = clBuildProgram(p, 0, NULL, compile_opts, NULL, NULL);
|
||||
err = clBuildProgram(p, 0, NULL, compile_opts.c_str(), NULL, NULL);
|
||||
if(err < 0) {
|
||||
|
||||
clGetProgramBuildInfo(p, dev, CL_PROGRAM_BUILD_LOG, 0, NULL, &log_size);
|
||||
|
|
|
|||
Loading…
Reference in a new issue