char-fork/llama.cpp
git clone https://git.t4t.associates/char-fork/llama.cpp
5b359bb1e
char/aliceai-t5-moe
1#include "common.cuh" 2#include "count-equal.cuh" 3 4#include <cstdint> 5 6template <typename T> 7static __global__ void count_equal(const T * __restrict__ x, const T * __restrict__ y, int64_t * __restrict__ dst, const int64_t dk, const int64_t k) { 8 const int64_t i0 = (int64_t) blockIdx.x*dk; 9 const int64_t i1 = min(i0 + dk, k); 10 11 int nequal = 0; 12 13 for (int64_t i = i0 + threadIdx.x; i < i1; i += WARP_SIZE) { 14 const T xi = x[i]; 15 const T yi = y[i]; 16 nequal += xi == yi; 17 } 18 19 nequal = warp_reduce_sum(nequal); 20 21 if (threadIdx.x != 0) { 22 return; 23 } 24 25 atomicAdd((int *) dst, nequal); 26} 27 28void ggml_cuda_count_equal(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { 29 const ggml_tensor * src0 = dst->src[0]; 30 const ggml_tensor * src1 = dst->src[1]; 31 32 GGML_ASSERT(src0->type == src1->type); 33 GGML_ASSERT( dst->type == GGML_TYPE_I64); 34 35 GGML_ASSERT(ggml_are_same_shape(src0, src1)); 36 GGML_ASSERT(ggml_is_contiguous(src0)); 37 GGML_ASSERT(ggml_is_contiguous(src1)); 38 GGML_ASSERT(ggml_is_contiguous(dst)); 39 40 int64_t * dst_d = (int64_t *) dst->data; 41 42 cudaStream_t stream = ctx.stream(); 43 const int nsm = ggml_cuda_info().devices[ggml_cuda_get_device()].nsm; 44 45 const int64_t ne = ggml_nelements(src0); 46 GGML_ASSERT(ne < (1 << 30) && "atomicAdd implementation only supports int"); 47 const int64_t dne = GGML_PAD((ne + 4*nsm - 1) / (4*nsm), CUDA_COUNT_EQUAL_CHUNK_SIZE); 48 49 CUDA_CHECK(cudaMemsetAsync(dst_d, 0, ggml_nbytes(dst), stream)); 50 51 const dim3 blocks_dim(WARP_SIZE, 1, 1); 52 const dim3 blocks_num(std::min((int64_t)4*nsm, (ne + CUDA_COUNT_EQUAL_CHUNK_SIZE - 1)/CUDA_COUNT_EQUAL_CHUNK_SIZE), 1, 1); 53 54 switch (src0->type) { 55 case GGML_TYPE_I32: { 56 const int * src0_d = (const int *) src0->data; 57 const int * src1_d = (const int *) src1->data; 58 count_equal<<<blocks_num, blocks_dim, 0, stream>>>(src0_d, src1_d, dst_d, dne, ne); 59 } break; 60 default: 61 GGML_ASSERT(false); 62 break; 63 } 64}