ggml : drop support for QK_K=64 (#7473)
* ggml : drop support for QK_K=64 ggml-ci * opencl : restore QK_K=256 define
This commit is contained in:
Georgi Gerganov
GitHub
parent
1b1e27cb49
commit
e84b71c2c6
16 changed files with 26 additions and 4049 deletions
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@ -22,7 +22,6 @@ static __global__ void dequantize_mul_mat_vec_q2_k(const void * __restrict__ vx,
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float tmp = 0; // partial sum for thread in warp
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#if QK_K == 256
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const int tid = threadIdx.x/K_QUANTS_PER_ITERATION; // 0...31 or 0...15
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const int ix = threadIdx.x%K_QUANTS_PER_ITERATION; // 0 or 0,1
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@ -71,37 +70,6 @@ static __global__ void dequantize_mul_mat_vec_q2_k(const void * __restrict__ vx,
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tmp += dall * sum1 - dmin * sum2;
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}
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#else
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const int tid = threadIdx.x/(2*K_QUANTS_PER_ITERATION); // 0...15 or 0...7
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const int ix = threadIdx.x%(2*K_QUANTS_PER_ITERATION); // 0....1 or 0...3
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const int offset = tid * K_QUANTS_PER_ITERATION;
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uint32_t uaux[2];
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const uint8_t * d = (const uint8_t *)uaux;
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for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
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const float * y = yy + i * QK_K + offset;
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const uint8_t * q = x[i].qs + offset;
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const uint32_t * s = (const uint32_t *)x[i].scales;
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uaux[0] = s[0] & 0x0f0f0f0f;
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uaux[1] = (s[0] >> 4) & 0x0f0f0f0f;
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const float2 dall = __half22float2(x[i].dm);
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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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const uint8_t ql = q[l];
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sum1 += y[l+ 0] * d[0] * ((ql >> 0) & 3)
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+ y[l+16] * d[1] * ((ql >> 2) & 3)
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+ y[l+32] * d[2] * ((ql >> 4) & 3)
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+ y[l+48] * d[3] * ((ql >> 6) & 3);
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sum2 += y[l+0] * d[4] + y[l+16] * d[5] + y[l+32] * d[6] + y[l+48] * d[7];
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}
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tmp += dall.x * sum1 - dall.y * sum2;
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}
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#endif
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// sum up partial sums and write back result
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tmp = warp_reduce_sum(tmp);
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@ -123,8 +91,6 @@ static __global__ void dequantize_mul_mat_vec_q3_k(const void * __restrict__ vx,
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float tmp = 0; // partial sum for thread in warp
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#if QK_K == 256
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const uint16_t kmask1 = 0x0303;
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const uint16_t kmask2 = 0x0f0f;
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@ -175,34 +141,6 @@ static __global__ void dequantize_mul_mat_vec_q3_k(const void * __restrict__ vx,
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tmp += d * sum;
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}
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#else
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const int tid = threadIdx.x/(2*K_QUANTS_PER_ITERATION); // 0...15 or 0...7
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const int ix = threadIdx.x%(2*K_QUANTS_PER_ITERATION); // 0....1 or 0...3
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const int offset = tid * K_QUANTS_PER_ITERATION; // 0...15 or 0...14
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const int in = offset/8; // 0 or 1
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const int im = offset%8; // 0...7
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for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
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const float * y = yy + i * QK_K + offset;
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const uint8_t * q = x[i].qs + offset;
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const uint8_t * s = x[i].scales;
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const float dall = (float)x[i].d;
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float sum = 0;
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for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
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const uint8_t hl = x[i].hmask[im+l] >> in;
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const uint8_t ql = q[l];
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sum += y[l+ 0] * dall * ((s[0] & 0xF) - 8) * ((int8_t)((ql >> 0) & 3) - ((hl >> 0) & 1 ? 0 : 4))
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+ y[l+16] * dall * ((s[0] >> 4) - 8) * ((int8_t)((ql >> 2) & 3) - ((hl >> 2) & 1 ? 0 : 4))
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+ y[l+32] * dall * ((s[1] & 0xF) - 8) * ((int8_t)((ql >> 4) & 3) - ((hl >> 4) & 1 ? 0 : 4))
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+ y[l+48] * dall * ((s[1] >> 4) - 8) * ((int8_t)((ql >> 6) & 3) - ((hl >> 6) & 1 ? 0 : 4));
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}
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tmp += sum;
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}
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#endif
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// sum up partial sums and write back result
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tmp = warp_reduce_sum(tmp);
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@ -221,7 +159,6 @@ static __global__ void dequantize_mul_mat_vec_q4_k(const void * __restrict__ vx,
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const block_q4_K * x = (const block_q4_K *)vx + ib0;
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#if QK_K == 256
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const uint16_t kmask1 = 0x3f3f;
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const uint16_t kmask2 = 0x0f0f;
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const uint16_t kmask3 = 0xc0c0;
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@ -306,36 +243,6 @@ static __global__ void dequantize_mul_mat_vec_q4_k(const void * __restrict__ vx,
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#endif
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}
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#else
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const int tid = threadIdx.x/(2*K_QUANTS_PER_ITERATION); // 0...15
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const int ix = threadIdx.x%(2*K_QUANTS_PER_ITERATION);
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const int step = tid * K_QUANTS_PER_ITERATION;
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uint16_t aux16[2];
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const uint8_t * s = (const uint8_t *)aux16;
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float tmp = 0;
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for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
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const uint8_t * q = x[i].qs + step;
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const float * y = yy + i*QK_K + step;
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const uint16_t * a = (const uint16_t *)x[i].scales;
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aux16[0] = a[0] & 0x0f0f;
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aux16[1] = (a[0] >> 4) & 0x0f0f;
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const float d = (float)x[i].dm[0];
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const float m = (float)x[i].dm[1];
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float sum = 0.f;
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for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
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sum += y[j+ 0] * (d * s[0] * (q[j+ 0] & 0xF) - m * s[2])
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+ y[j+16] * (d * s[0] * (q[j+16] & 0xF) - m * s[2])
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+ y[j+32] * (d * s[1] * (q[j+ 0] >> 4) - m * s[3])
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+ y[j+48] * (d * s[1] * (q[j+16] >> 4) - m * s[3]);
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}
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tmp += sum;
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}
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#endif
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// sum up partial sums and write back result
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tmp = warp_reduce_sum(tmp);
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@ -355,7 +262,6 @@ static __global__ void dequantize_mul_mat_vec_q5_k(const void * __restrict__ vx,
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float tmp = 0; // partial sum for thread in warp
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#if QK_K == 256
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const uint16_t kmask1 = 0x3f3f;
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const uint16_t kmask2 = 0x0f0f;
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const uint16_t kmask3 = 0xc0c0;
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@ -426,30 +332,6 @@ static __global__ void dequantize_mul_mat_vec_q5_k(const void * __restrict__ vx,
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tmp += dall * (sum.x * sc[0] + sum.y * sc[1] + sum.z * sc[4] + sum.w * sc[5]) - dmin * smin;
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}
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#else
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const int tid = threadIdx.x/(2*K_QUANTS_PER_ITERATION); // 0...15
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const int ix = threadIdx.x%(2*K_QUANTS_PER_ITERATION);
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const int step = tid * K_QUANTS_PER_ITERATION;
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const int im = step/8;
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const int in = step%8;
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for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
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const uint8_t * q = x[i].qs + step;
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const int8_t * s = x[i].scales;
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const float * y = yy + i*QK_K + step;
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const float d = x[i].d;
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float sum = 0.f;
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for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
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const uint8_t h = x[i].qh[in+j] >> im;
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sum += y[j+ 0] * d * s[0] * ((q[j+ 0] & 0xF) - ((h >> 0) & 1 ? 0 : 16))
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+ y[j+16] * d * s[1] * ((q[j+16] & 0xF) - ((h >> 2) & 1 ? 0 : 16))
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+ y[j+32] * d * s[2] * ((q[j+ 0] >> 4) - ((h >> 4) & 1 ? 0 : 16))
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+ y[j+48] * d * s[3] * ((q[j+16] >> 4) - ((h >> 6) & 1 ? 0 : 16));
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}
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tmp += sum;
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}
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#endif
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// sum up partial sums and write back result
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tmp = warp_reduce_sum(tmp);
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@ -470,8 +352,6 @@ static __global__ void dequantize_mul_mat_vec_q6_k(const void * __restrict__ vx,
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const block_q6_K * x = (const block_q6_K *)vx + ib0;
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#if QK_K == 256
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const int tid = threadIdx.x/K_QUANTS_PER_ITERATION; // 0...31 or 0...16
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const int ix = threadIdx.x%K_QUANTS_PER_ITERATION; // 0 or 0, 1
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@ -526,37 +406,6 @@ static __global__ void dequantize_mul_mat_vec_q6_k(const void * __restrict__ vx,
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}
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#else
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const int tid = threadIdx.x/(2*K_QUANTS_PER_ITERATION); // 0...7
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const int ix = threadIdx.x%(2*K_QUANTS_PER_ITERATION); // 0...3
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const int step = tid * K_QUANTS_PER_ITERATION;
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float tmp = 0; // partial sum for thread in warp
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for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
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const float * y = yy + i * QK_K + step;
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const uint8_t * ql = x[i].ql + step;
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const uint8_t * qh = x[i].qh + step;
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const int8_t * s = x[i].scales;
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const float d = x[i+0].d;
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float sum = 0;
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for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
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sum += y[j+ 0] * s[0] * d * ((int8_t)((ql[j+ 0] & 0xF) | ((qh[j] & 0x03) << 4)) - 32)
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+ y[j+16] * s[1] * d * ((int8_t)((ql[j+16] & 0xF) | ((qh[j] & 0x0c) << 2)) - 32)
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+ y[j+32] * s[2] * d * ((int8_t)((ql[j+ 0] >> 4) | ((qh[j] & 0x30) >> 0)) - 32)
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+ y[j+48] * s[3] * d * ((int8_t)((ql[j+16] >> 4) | ((qh[j] & 0xc0) >> 2)) - 32);
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}
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tmp += sum;
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}
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#endif
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// sum up partial sums and write back result
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tmp = warp_reduce_sum(tmp);
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