mirror of https://github.com/vllm-project/vllm.git
572 lines
22 KiB
Plaintext
572 lines
22 KiB
Plaintext
// copied and adapted from https://github.com/ggerganov/llama.cpp/blob/b2899/ggml-cuda/convert.cu
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// Dequant functions
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static __device__ __forceinline__ void dequantize_q4_0(const void * vx, const int ib, const int iqs, dfloat2 & v){
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const block_q4_0 * x = (const block_q4_0 *) vx;
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const dfloat d = x[ib].d;
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const int vui = x[ib].qs[iqs];
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v.x = __int2half_rn(vui & 0xF);
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v.y = __int2half_rn(vui >> 4);
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v = __hsub2(v, __floats2half2_rn(8.0f, 8.0f));
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v = __hmul2(v, {d, d});
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}
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static __device__ __forceinline__ void dequantize_q4_1(const void * vx, const int ib, const int iqs, dfloat2 & v){
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const block_q4_1 * x = (const block_q4_1 *) vx;
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const dfloat d = __low2half(x[ib].dm);
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const dfloat m = __high2half(x[ib].dm);
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const int vui = x[ib].qs[iqs];
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v.x = __int2half_rn(vui & 0xF);
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v.y = __int2half_rn(vui >> 4);
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v = __hmul2(v, {d, d});
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v = __hadd2(v, {m, m});
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}
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static __device__ __forceinline__ void dequantize_q5_0(const void * vx, const int ib, const int iqs, dfloat2 & v){
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const block_q5_0 * x = (const block_q5_0 *) vx;
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const dfloat d = x[ib].d;
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uint32_t qh;
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memcpy(&qh, x[ib].qh, sizeof(qh));
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const int xh_0 = ((qh >> (iqs + 0)) << 4) & 0x10;
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const int xh_1 = ((qh >> (iqs + 12)) ) & 0x10;
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v.x = __int2half_rn((x[ib].qs[iqs] & 0xf) | xh_0);
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v.y = __int2half_rn((x[ib].qs[iqs] >> 4) | xh_1);
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v = __hsub2(v, __floats2half2_rn(16.0f, 16.0f));
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v = __hmul2(v, {d, d});
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}
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static __device__ __forceinline__ void dequantize_q5_1(const void * vx, const int ib, const int iqs, dfloat2 & v){
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const block_q5_1 * x = (const block_q5_1 *) vx;
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const dfloat d = __low2half(x[ib].dm);
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const dfloat m = __high2half(x[ib].dm);
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uint32_t qh;
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memcpy(&qh, x[ib].qh, sizeof(qh));
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const int xh_0 = ((qh >> (iqs + 0)) << 4) & 0x10;
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const int xh_1 = ((qh >> (iqs + 12)) ) & 0x10;
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v.x = __int2half_rn((x[ib].qs[iqs] & 0xf) | xh_0);
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v.y = __int2half_rn((x[ib].qs[iqs] >> 4) | xh_1);
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v = __hmul2(v, {d, d});
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v = __hadd2(v, {m, m});
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}
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static __device__ __forceinline__ void dequantize_q8_0(const void * vx, const int ib, const int iqs, dfloat2 & v){
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const block_q8_0 * x = (const block_q8_0 *) vx;
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const dfloat d = x[ib].d;
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v.x = __int2half_rn(x[ib].qs[iqs + 0]);
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v.y = __int2half_rn(x[ib].qs[iqs + 1]);
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v = __hmul2(v, {d, d});
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}
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template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
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static __global__ void dequantize_block(const void * __restrict__ vx, dst_t * __restrict__ y, const int k) {
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const int i = 2*(blockDim.x*blockIdx.x + threadIdx.x);
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if (i >= k) {
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return;
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}
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const int ib = i/qk; // block index
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const int iqs = (i%qk)/qr; // quant index
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const int iybs = i - i%qk; // y block start index
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const int y_offset = qr == 1 ? 1 : qk/2;
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// dequantize
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dfloat2 v;
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dequantize_kernel(vx, ib, iqs, v);
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y[iybs + iqs + 0] = convert_from_half<dst_t>(v.x);
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y[iybs + iqs + y_offset] = convert_from_half<dst_t>(v.y);
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}
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template<typename dst_t>
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static __global__ void dequantize_block_q2_K(const void * __restrict__ vx, dst_t * __restrict__ yy) {
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const auto i = blockIdx.x;
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const block_q2_K * x = (const block_q2_K *) vx;
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const auto tid = threadIdx.x;
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const int n = tid/32;
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const int l = tid - 32*n;
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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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dst_t * y = yy + i*QK_K + 128*n;
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half dall = __low2half(x[i].dm);
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half dmin = __high2half(x[i].dm);
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y[l+ 0] = convert_from_half<dst_t>(__hsub(__hmul(dall, __int2half_rn((x[i].scales[is+0] & 0xF) * ((q >> 0) & 3))), __hmul(dmin, __int2half_rn(x[i].scales[is+0] >> 4))));
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y[l+32] = convert_from_half<dst_t>(__hsub(__hmul(dall, __int2half_rn((x[i].scales[is+2] & 0xF) * ((q >> 2) & 3))), __hmul(dmin, __int2half_rn(x[i].scales[is+2] >> 4))));
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y[l+64] = convert_from_half<dst_t>(__hsub(__hmul(dall, __int2half_rn((x[i].scales[is+4] & 0xF) * ((q >> 4) & 3))), __hmul(dmin, __int2half_rn(x[i].scales[is+4] >> 4))));
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y[l+96] = convert_from_half<dst_t>(__hsub(__hmul(dall, __int2half_rn((x[i].scales[is+6] & 0xF) * ((q >> 6) & 3))), __hmul(dmin, __int2half_rn(x[i].scales[is+6] >> 4))));
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}
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template<typename dst_t>
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static __global__ void dequantize_block_q3_K(const void * __restrict__ vx, dst_t * __restrict__ yy) {
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const auto i = blockIdx.x;
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const block_q3_K * x = (const block_q3_K *) vx;
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const auto r = threadIdx.x/4;
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const int tid = r/2;
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const int is0 = r%2;
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const int l0 = 16*is0 + 4*(threadIdx.x%4);
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const int n = tid / 4;
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const int j = tid - 4*n;
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uint8_t m = 1 << (4*n + j);
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int is = 8*n + 2*j + is0;
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int shift = 2*j;
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int8_t us = is < 4 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+8] >> 0) & 3) << 4) :
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is < 8 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+4] >> 2) & 3) << 4) :
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is < 12 ? (x[i].scales[is-8] >> 4) | (((x[i].scales[is+0] >> 4) & 3) << 4) :
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(x[i].scales[is-8] >> 4) | (((x[i].scales[is-4] >> 6) & 3) << 4);
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half d_all = x[i].d;
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half dl = __hmul(d_all, __int2half_rn(us - 32));
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dst_t * y = yy + i*QK_K + 128*n + 32*j;
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const uint8_t * q = x[i].qs + 32*n;
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const uint8_t * hm = x[i].hmask;
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for (int l = l0; l < l0+4; ++l) {
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y[l] = convert_from_half<dst_t>(__hmul(dl, __int2half_rn((int8_t)((q[l] >> shift) & 3) - ((hm[l] & m) ? 0 : 4))));
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}
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}
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static inline __device__ void get_scale_min_k4(int j, const uint8_t * q, uint8_t & d, uint8_t & m) {
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if (j < 4) {
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d = q[j] & 63; m = q[j + 4] & 63;
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} else {
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d = (q[j+4] & 0xF) | ((q[j-4] >> 6) << 4);
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m = (q[j+4] >> 4) | ((q[j-0] >> 6) << 4);
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}
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}
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template<typename dst_t>
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static __global__ void dequantize_block_q4_K(const void * __restrict__ vx, dst_t * __restrict__ yy) {
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const block_q4_K * x = (const block_q4_K *) vx;
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const auto i = blockIdx.x;
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// assume 32 threads
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const auto tid = threadIdx.x;
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const int il = tid/8;
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const int ir = tid%8;
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const int is = 2*il;
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const int n = 4;
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dst_t * y = yy + i*QK_K + 64*il + n*ir;
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const half dall = __low2half(x[i].dm);
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const half dmin = __high2half(x[i].dm);
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const uint8_t * q = x[i].qs + 32*il + n*ir;
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uint8_t sc, m;
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get_scale_min_k4(is + 0, x[i].scales, sc, m);
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const half d1 = __hmul(dall, __int2half_rn(sc));
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const half m1 = __hmul(dmin, __int2half_rn(m));
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get_scale_min_k4(is + 1, x[i].scales, sc, m);
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const half d2 = __hmul(dall, __int2half_rn(sc));
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const half m2 = __hmul(dmin, __int2half_rn(m));
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for (int l = 0; l < n; ++l) {
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y[l + 0] = convert_from_half<dst_t>(__hsub(__hmul(d1, __int2half_rn(q[l] & 0xF)), m1));
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y[l +32] = convert_from_half<dst_t>(__hsub(__hmul(d2, __int2half_rn(q[l] >> 4)), m2));
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}
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}
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template<typename dst_t>
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static __global__ void dequantize_block_q5_K(const void * __restrict__ vx, dst_t * __restrict__ yy) {
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const block_q5_K * x = (const block_q5_K *) vx;
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const auto i = blockIdx.x;
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// assume 64 threads - this is very slightly better than the one below
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const auto tid = threadIdx.x;
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const int il = tid/16; // il is in 0...3
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const int ir = tid%16; // ir is in 0...15
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const int is = 2*il; // is is in 0...6
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dst_t * y = yy + i*QK_K + 64*il + 2*ir;
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const half dall = __low2half(x[i].dm);
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const half dmin = __high2half(x[i].dm);
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const uint8_t * ql = x[i].qs + 32*il + 2*ir;
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const uint8_t * qh = x[i].qh + 2*ir;
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uint8_t sc, m;
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get_scale_min_k4(is + 0, x[i].scales, sc, m);
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const half d1 = __hmul(dall, __int2half_rn(sc)); const half m1 = __hmul(dmin, __int2half_rn(m));
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get_scale_min_k4(is + 1, x[i].scales, sc, m);
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const half d2 = __hmul(dall, __int2half_rn(sc)); const half m2 = __hmul(dmin, __int2half_rn(m));
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uint8_t hm = 1 << (2*il);
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y[ 0] = convert_from_half<dst_t>(__hsub(__hmul(d1, __int2half_rn((ql[0] & 0xF) + (qh[0] & hm ? 16 : 0))), m1));
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y[ 1] = convert_from_half<dst_t>(__hsub(__hmul(d1, __int2half_rn((ql[1] & 0xF) + (qh[1] & hm ? 16 : 0))), m1));
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hm <<= 1;
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y[32] = convert_from_half<dst_t>(__hsub(__hmul(d2, __int2half_rn((ql[0] >> 4) + (qh[0] & hm ? 16 : 0))), m2));
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y[33] = convert_from_half<dst_t>(__hsub(__hmul(d2, __int2half_rn((ql[1] >> 4) + (qh[1] & hm ? 16 : 0))), m2));
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}
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template<typename dst_t>
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static __global__ void dequantize_block_q6_K(const void * __restrict__ vx, dst_t * __restrict__ yy) {
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const block_q6_K * x = (const block_q6_K *) vx;
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const auto i = blockIdx.x;
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// assume 64 threads - this is very slightly better than the one below
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const auto tid = threadIdx.x;
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const int ip = tid/32; // ip is 0 or 1
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const int il = tid - 32*ip; // 0...32
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const int is = 8*ip + il/16;
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dst_t * y = yy + i*QK_K + 128*ip + il;
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const half d = x[i].d;
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const uint8_t * ql = x[i].ql + 64*ip + il;
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const uint8_t qh = x[i].qh[32*ip + il];
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const int8_t * sc = x[i].scales + is;
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y[ 0] = convert_from_half<dst_t>(__hmul(d, __int2half_rn(sc[0] * ((int8_t)((ql[ 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32))));
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y[32] = convert_from_half<dst_t>(__hmul(d, __int2half_rn(sc[2] * ((int8_t)((ql[32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32))));
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y[64] = convert_from_half<dst_t>(__hmul(d, __int2half_rn(sc[4] * ((int8_t)((ql[ 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32))));
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y[96] = convert_from_half<dst_t>(__hmul(d, __int2half_rn(sc[6] * ((int8_t)((ql[32] >> 4) | (((qh >> 6) & 3) << 4)) - 32))));
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}
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template<typename dst_t>
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static __global__ void dequantize_block_iq2_xxs(const void * __restrict__ vx, dst_t * __restrict__ yy) {
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const auto i = blockIdx.x;
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const block_iq2_xxs * x = (const block_iq2_xxs *) vx;
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const auto tid = threadIdx.x;
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const int il = tid/8; // 0...3
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const int ib = tid%8; // 0...7
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dst_t * y = yy + i*QK_K + 32*ib + 8*il;
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const uint16_t * q2 = x[i].qs + 4*ib;
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const uint8_t * aux8 = (const uint8_t *)q2;
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const uint8_t * grid = (const uint8_t *)(iq2xxs_grid + aux8[il]);
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const uint32_t aux32 = q2[2] | (q2[3] << 16);
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const float d = __half2float(x[i].d) * (0.5f + (aux32 >> 28)) * 0.25f;
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const uint8_t signs = ksigns_iq2xs[(aux32 >> 7*il) & 127];
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for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f);
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}
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template<typename dst_t>
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static __global__ void dequantize_block_iq2_xs(const void * __restrict__ vx, dst_t * __restrict__ yy) {
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const auto i = blockIdx.x;
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const block_iq2_xs * x = (const block_iq2_xs *) vx;
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const auto tid = threadIdx.x;
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const int il = tid/8; // 0...3
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const int ib = tid%8; // 0...7
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dst_t * y = yy + i*QK_K + 32*ib + 8*il;
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const uint16_t * q2 = x[i].qs + 4*ib;
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const uint8_t * grid = (const uint8_t *)(iq2xs_grid + (q2[il] & 511));
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const float d = __half2float(x[i].d) * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f;
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const uint8_t signs = ksigns_iq2xs[q2[il] >> 9];
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for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f);
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}
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template<typename dst_t>
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static __global__ void dequantize_block_iq2_s(const void * __restrict__ vx, dst_t * __restrict__ yy) {
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const auto i = blockIdx.x;
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const block_iq2_s * x = (const block_iq2_s *) vx;
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const auto tid = threadIdx.x;
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const int il = tid/8; // 0...3
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const int ib = tid%8; // 0...7
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dst_t * y = yy + i*QK_K + 32*ib + 8*il;
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const uint8_t * grid = (const uint8_t *)(iq2s_grid + (x[i].qs[4*ib+il] | ((x[i].qh[ib] << (8-2*il)) & 0x300)));
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const float d = __half2float(x[i].d) * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f;
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const uint8_t signs = x[i].qs[QK_K/8+4*ib+il];
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for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f);
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}
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template<typename dst_t>
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static __global__ void dequantize_block_iq3_xxs(const void * __restrict__ vx, dst_t * __restrict__ yy) {
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const auto i = blockIdx.x;
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const block_iq3_xxs * x = (const block_iq3_xxs *) vx;
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const auto tid = threadIdx.x;
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const int il = tid/8; // 0...3
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const int ib = tid%8; // 0...7
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dst_t * y = yy + i*QK_K + 32*ib + 8*il;
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const uint8_t * q3 = x[i].qs + 8*ib;
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const uint16_t * gas = (const uint16_t *)(x[i].qs + QK_K/4) + 2*ib;
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const uint8_t * grid1 = (const uint8_t *)(iq3xxs_grid + q3[2*il+0]);
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const uint8_t * grid2 = (const uint8_t *)(iq3xxs_grid + q3[2*il+1]);
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const uint32_t aux32 = gas[0] | (gas[1] << 16);
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const float d = __half2float(x[i].d) * (0.5f + (aux32 >> 28)) * 0.5f;
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const uint8_t signs = ksigns_iq2xs[(aux32 >> 7*il) & 127];
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for (int j = 0; j < 4; ++j) {
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y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f);
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y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f);
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}
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}
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template<typename dst_t>
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static __global__ void dequantize_block_iq3_s(const void * __restrict__ vx, dst_t * __restrict__ yy) {
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const auto i = blockIdx.x;
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const block_iq3_s * x = (const block_iq3_s *) vx;
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const auto tid = threadIdx.x;
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const int il = tid/8; // 0...3
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const int ib = tid%8; // 0...7
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dst_t * y = yy + i*QK_K + 32*ib + 8*il;
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const uint8_t * qs = x[i].qs + 8*ib;
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const uint8_t * grid1 = (const uint8_t *)(iq3xs_grid + (qs[2*il+0] | ((x[i].qh[ib] << (8-2*il)) & 256)));
|
|
const uint8_t * grid2 = (const uint8_t *)(iq3xs_grid + (qs[2*il+1] | ((x[i].qh[ib] << (7-2*il)) & 256)));
|
|
const float d = __half2float(x[i].d) * (0.5f + ((x[i].scales[ib/2] >> 4*(ib%2)) & 0xf)) * 0.5f;
|
|
const uint8_t signs = x[i].signs[4*ib + il];
|
|
for (int j = 0; j < 4; ++j) {
|
|
y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f);
|
|
y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f);
|
|
}
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static __global__ void dequantize_block_iq1_s(const void * __restrict__ vx, dst_t * __restrict__ yy) {
|
|
|
|
const int64_t i = blockIdx.x;
|
|
const block_iq1_s * x = (const block_iq1_s *) vx;
|
|
|
|
const int64_t tid = threadIdx.x;
|
|
const int64_t il = tid/8; // 0...3
|
|
const int64_t ib = tid%8; // 0...7
|
|
dst_t * y = yy + i*QK_K + 32*ib + 8*il;
|
|
const float delta = x[i].qh[ib] & 0x8000 ? -1 - IQ1S_DELTA : -1 + IQ1S_DELTA;
|
|
const float d = __half2float(x[i].d) * (2*((x[i].qh[ib] >> 12) & 7) + 1);
|
|
uint32_t grid32[2]; const int8_t * q = (const int8_t *)grid32;
|
|
grid32[0] = iq1s_grid_gpu[x[i].qs[4*ib+il] | (((x[i].qh[ib] >> 3*il) & 7) << 8)];
|
|
grid32[1] = (grid32[0] >> 4) & 0x0f0f0f0f;
|
|
grid32[0] &= 0x0f0f0f0f;
|
|
for (int j = 0; j < 8; ++j) {
|
|
y[j] = d * (q[j] + delta);
|
|
}
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static __global__ void dequantize_block_iq1_m(const void * __restrict__ vx, dst_t * __restrict__ yy) {
|
|
|
|
const int64_t i = blockIdx.x;
|
|
const block_iq1_m * x = (const block_iq1_m *) vx;
|
|
|
|
const int64_t tid = threadIdx.x;
|
|
const int64_t il = tid/8; // 0...3
|
|
const int64_t ib = tid%8; // 0...7
|
|
dst_t * y = yy + i*QK_K + 32*ib + 8*il;
|
|
const uint16_t * sc = (const uint16_t *)x[i].scales;
|
|
iq1m_scale_t scale;
|
|
scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
|
|
const int64_t ib16 = 2*ib + il/2; // sc[ib16/4] >> 3*(ib16%4) -> sc[ib/2] >> 3*((2*ib+il/2)%4);
|
|
const float d = __half2float(scale.f16) * (2*((sc[ib16/4] >> 3*(ib16%4)) & 0x7) + 1);
|
|
const float delta = x[i].qh[2*ib+il/2] & (0x08 << 4*(il%2)) ? -1 - IQ1M_DELTA : -1 + IQ1M_DELTA;
|
|
uint32_t grid32[2]; const int8_t * q = (const int8_t *)grid32;
|
|
grid32[0] = iq1s_grid_gpu[x[i].qs[4*ib+il] | (((x[i].qh[2*ib+il/2] >> 4*(il%2)) & 7) << 8)];
|
|
grid32[1] = (grid32[0] >> 4) & 0x0f0f0f0f;
|
|
grid32[0] &= 0x0f0f0f0f;
|
|
for (int j = 0; j < 8; ++j) {
|
|
y[j] = d * (q[j] + delta);
|
|
}
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static __global__ void dequantize_block_iq4_nl(const void * __restrict__ vx, dst_t * __restrict__ yy) {
|
|
|
|
const auto i = blockIdx.x;
|
|
const block_iq4_nl * x = (const block_iq4_nl *) vx + i*(QK_K/QK4_NL);
|
|
|
|
const auto tid = threadIdx.x;
|
|
const int il = tid/8; // 0...3
|
|
const int ib = tid%8; // 0...7
|
|
dst_t * y = yy + i*QK_K + 32*ib + 4*il;
|
|
const uint8_t * q4 = x[ib].qs + 4*il;
|
|
const float d = __half2float(x[ib].d);
|
|
for (int j = 0; j < 4; ++j) {
|
|
y[j+ 0] = d * kvalues_iq4nl[q4[j] & 0xf];
|
|
y[j+16] = d * kvalues_iq4nl[q4[j] >> 4];
|
|
}
|
|
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static __global__ void dequantize_block_iq4_xs(const void * __restrict__ vx, dst_t * __restrict__ yy) {
|
|
const auto i = blockIdx.x;
|
|
const block_iq4_xs * x = (const block_iq4_xs *)vx;
|
|
|
|
const auto tid = threadIdx.x;
|
|
const int il = tid/8; // 0...3
|
|
const int ib = tid%8; // 0...7
|
|
dst_t * y = yy + i*QK_K + 32*ib + 4*il;
|
|
const uint8_t * q4 = x[i].qs + 16*ib + 4*il;
|
|
const float d = __half2float(x[i].d) * ((((x[i].scales_l[ib/2] >> 4*(ib%2)) & 0xf) | (((x[i].scales_h >> 2*ib) & 3) << 4)) - 32);
|
|
for (int j = 0; j < 4; ++j) {
|
|
y[j+ 0] = d * kvalues_iq4nl[q4[j] & 0xf];
|
|
y[j+16] = d * kvalues_iq4nl[q4[j] >> 4];
|
|
}
|
|
}
|
|
|
|
template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
|
|
static void dequantize_block_cuda(const void * __restrict__ vx, dst_t * __restrict__ y, const int k, cudaStream_t stream) {
|
|
const int num_blocks = (k + 2*CUDA_DEQUANTIZE_BLOCK_SIZE - 1) / (2*CUDA_DEQUANTIZE_BLOCK_SIZE);
|
|
dequantize_block<qk, qr, dequantize_kernel><<<num_blocks, CUDA_DEQUANTIZE_BLOCK_SIZE, 0, stream>>>(vx, y, k);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static void dequantize_row_q2_K_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) {
|
|
const int nb = k / QK_K;
|
|
dequantize_block_q2_K<<<nb, 64, 0, stream>>>(vx, y);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static void dequantize_row_q3_K_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) {
|
|
const int nb = k / QK_K;
|
|
dequantize_block_q3_K<<<nb, 64, 0, stream>>>(vx, y);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static void dequantize_row_q4_K_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) {
|
|
const int nb = k / QK_K;
|
|
dequantize_block_q4_K<<<nb, 32, 0, stream>>>(vx, y);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static void dequantize_row_q5_K_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) {
|
|
const int nb = k / QK_K;
|
|
dequantize_block_q5_K<<<nb, 64, 0, stream>>>(vx, y);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static void dequantize_row_q6_K_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) {
|
|
const int nb = k / QK_K;
|
|
dequantize_block_q6_K<<<nb, 64, 0, stream>>>(vx, y);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static void dequantize_row_iq2_xxs_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) {
|
|
const int nb = k / QK_K;
|
|
dequantize_block_iq2_xxs<<<nb, 32, 0, stream>>>(vx, y);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static void dequantize_row_iq2_xs_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) {
|
|
const int nb = k / QK_K;
|
|
dequantize_block_iq2_xs<<<nb, 32, 0, stream>>>(vx, y);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static void dequantize_row_iq2_s_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) {
|
|
const int nb = k / QK_K;
|
|
dequantize_block_iq2_s<<<nb, 32, 0, stream>>>(vx, y);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static void dequantize_row_iq3_xxs_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) {
|
|
const int nb = k / QK_K;
|
|
dequantize_block_iq3_xxs<<<nb, 32, 0, stream>>>(vx, y);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static void dequantize_row_iq3_s_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) {
|
|
const int nb = k / QK_K;
|
|
dequantize_block_iq3_s<<<nb, 32, 0, stream>>>(vx, y);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static void dequantize_row_iq1_s_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) {
|
|
const int nb = k / QK_K;
|
|
dequantize_block_iq1_s<<<nb, 32, 0, stream>>>(vx, y);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static void dequantize_row_iq1_m_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) {
|
|
const int nb = k / QK_K;
|
|
dequantize_block_iq1_m<<<nb, 32, 0, stream>>>(vx, y);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static void dequantize_row_iq4_nl_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) {
|
|
const int nb = (k + QK_K - 1) / QK_K;
|
|
dequantize_block_iq4_nl<<<nb, 32, 0, stream>>>(vx, y);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static void dequantize_row_iq4_xs_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) {
|
|
const int nb = (k + QK_K - 1) / QK_K;
|
|
dequantize_block_iq4_xs<<<nb, 32, 0, stream>>>(vx, y);
|
|
}
|
|
|
|
template<typename dst_t>
|
|
static to_cuda_ggml_t<dst_t> ggml_get_to_cuda(int64_t type) {
|
|
switch (type) {
|
|
case 2:
|
|
return dequantize_block_cuda<QK4_0, QR4_0, dequantize_q4_0>;
|
|
case 3:
|
|
return dequantize_block_cuda<QK4_1, QR4_1, dequantize_q4_1>;
|
|
case 6:
|
|
return dequantize_block_cuda<QK5_0, QR5_0, dequantize_q5_0>;
|
|
case 7:
|
|
return dequantize_block_cuda<QK5_1, QR5_1, dequantize_q5_1>;
|
|
case 8:
|
|
return dequantize_block_cuda<QK8_0, QR8_0, dequantize_q8_0>;
|
|
case 10:
|
|
return dequantize_row_q2_K_cuda;
|
|
case 11:
|
|
return dequantize_row_q3_K_cuda;
|
|
case 12:
|
|
return dequantize_row_q4_K_cuda;
|
|
case 13:
|
|
return dequantize_row_q5_K_cuda;
|
|
case 14:
|
|
return dequantize_row_q6_K_cuda;
|
|
case 16:
|
|
return dequantize_row_iq2_xxs_cuda;
|
|
case 17:
|
|
return dequantize_row_iq2_xs_cuda;
|
|
case 18:
|
|
return dequantize_row_iq3_xxs_cuda;
|
|
case 19:
|
|
return dequantize_row_iq1_s_cuda;
|
|
case 20:
|
|
return dequantize_row_iq4_nl_cuda;
|
|
case 21:
|
|
return dequantize_row_iq3_s_cuda;
|
|
case 22:
|
|
return dequantize_row_iq2_s_cuda;
|
|
case 23:
|
|
return dequantize_row_iq4_xs_cuda;
|
|
case 29:
|
|
return dequantize_row_iq1_m_cuda;
|
|
default:
|
|
return nullptr;
|
|
}
|
|
}
|