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| #include "common.cuh" | |
| static __device__ __forceinline__ void dequantize_q4_0(const void * vx, const int64_t ib, const int iqs, dfloat2 & v){ | |
| const block_q4_0 * x = (const block_q4_0 *) vx; | |
| const dfloat d = x[ib].d; | |
| const int vui = x[ib].qs[iqs]; | |
| v.x = vui & 0xF; | |
| v.y = vui >> 4; | |
| #ifdef GGML_CUDA_F16 | |
| v = __hsub2(v, {8.0f, 8.0f}); | |
| v = __hmul2(v, {d, d}); | |
| #else | |
| v.x = (v.x - 8.0f) * d; | |
| v.y = (v.y - 8.0f) * d; | |
| #endif // GGML_CUDA_F16 | |
| } | |
| static __device__ __forceinline__ void dequantize_q4_1(const void * vx, const int64_t ib, const int iqs, dfloat2 & v){ | |
| const block_q4_1 * x = (const block_q4_1 *) vx; | |
| const dfloat d = __low2half(x[ib].dm); | |
| const dfloat m = __high2half(x[ib].dm); | |
| const int vui = x[ib].qs[iqs]; | |
| v.x = vui & 0xF; | |
| v.y = vui >> 4; | |
| #ifdef GGML_CUDA_F16 | |
| v = __hmul2(v, {d, d}); | |
| v = __hadd2(v, {m, m}); | |
| #else | |
| v.x = (v.x * d) + m; | |
| v.y = (v.y * d) + m; | |
| #endif // GGML_CUDA_F16 | |
| } | |
| static __device__ __forceinline__ void dequantize_q5_0(const void * vx, const int64_t ib, const int iqs, dfloat2 & v){ | |
| const block_q5_0 * x = (const block_q5_0 *) vx; | |
| const dfloat d = x[ib].d; | |
| uint32_t qh; | |
| memcpy(&qh, x[ib].qh, sizeof(qh)); | |
| const int xh_0 = ((qh >> (iqs + 0)) << 4) & 0x10; | |
| const int xh_1 = ((qh >> (iqs + 12)) ) & 0x10; | |
| v.x = ((x[ib].qs[iqs] & 0xf) | xh_0); | |
| v.y = ((x[ib].qs[iqs] >> 4) | xh_1); | |
| #ifdef GGML_CUDA_F16 | |
| v = __hsub2(v, {16.0f, 16.0f}); | |
| v = __hmul2(v, {d, d}); | |
| #else | |
| v.x = (v.x - 16.0f) * d; | |
| v.y = (v.y - 16.0f) * d; | |
| #endif // GGML_CUDA_F16 | |
| } | |
| static __device__ __forceinline__ void dequantize_q5_1(const void * vx, const int64_t ib, const int iqs, dfloat2 & v){ | |
| const block_q5_1 * x = (const block_q5_1 *) vx; | |
| const dfloat d = __low2half(x[ib].dm); | |
| const dfloat m = __high2half(x[ib].dm); | |
| uint32_t qh; | |
| memcpy(&qh, x[ib].qh, sizeof(qh)); | |
| const int xh_0 = ((qh >> (iqs + 0)) << 4) & 0x10; | |
| const int xh_1 = ((qh >> (iqs + 12)) ) & 0x10; | |
| v.x = ((x[ib].qs[iqs] & 0xf) | xh_0); | |
| v.y = ((x[ib].qs[iqs] >> 4) | xh_1); | |
| #ifdef GGML_CUDA_F16 | |
| v = __hmul2(v, {d, d}); | |
| v = __hadd2(v, {m, m}); | |
| #else | |
| v.x = (v.x * d) + m; | |
| v.y = (v.y * d) + m; | |
| #endif // GGML_CUDA_F16 | |
| } | |
| static __device__ __forceinline__ void dequantize_q8_0(const void * vx, const int64_t ib, const int iqs, dfloat2 & v){ | |
| const block_q8_0 * x = (const block_q8_0 *) vx; | |
| const dfloat d = x[ib].d; | |
| v.x = x[ib].qs[iqs + 0]; | |
| v.y = x[ib].qs[iqs + 1]; | |
| #ifdef GGML_CUDA_F16 | |
| v = __hmul2(v, {d, d}); | |
| #else | |
| v.x *= d; | |
| v.y *= d; | |
| #endif // GGML_CUDA_F16 | |
| } | |