char-fork/llama.cpp
git clone https://git.t4t.associates/char-fork/llama.cpp
3913f8730
char/aliceai-t5-moe
1#include "tsembd.cuh" 2 3static __global__ void timestep_embedding_f32(const float * timesteps, float * dst, const int nb1, const int dim, const int max_period) { 4 // blockIDx.y: idx of timesteps->ne[0] 5 // blockIDx.x: idx of ((dim + 1) / 2) / BLOCK_SIZE 6 int i = blockIdx.y; 7 int j = threadIdx.x + blockIdx.x * blockDim.x; 8 float * embed_data = (float *)((char *)dst + i*nb1); 9 10 int half = dim / 2; 11 if (dim % 2 != 0 && j == half) { 12 embed_data[2 * half] = 0.f; 13 } 14 15 if (j >= half) { 16 return; 17 } 18 19 float timestep = timesteps[i]; 20 float freq = (float)expf(-logf(max_period) * j / half); 21 float arg = timestep * freq; 22 embed_data[j] = cosf(arg); 23 embed_data[j + half] = sinf(arg); 24} 25 26static void timestep_embedding_f32_cuda(const float * x, float * dst, const int ne00, const int nb1, 27 const int dim, const int max_period, cudaStream_t stream) { 28 int half_ceil = (dim + 1) / 2; 29 int num_blocks = (half_ceil + CUDA_TIMESTEP_EMBEDDING_BLOCK_SIZE - 1) / CUDA_TIMESTEP_EMBEDDING_BLOCK_SIZE; 30 dim3 gridDim(num_blocks, ne00, 1); 31 timestep_embedding_f32<<<gridDim, CUDA_TIMESTEP_EMBEDDING_BLOCK_SIZE, 0, stream>>>(x, dst, nb1, dim, max_period); 32} 33 34void ggml_cuda_op_timestep_embedding(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { 35 const ggml_tensor * src0 = dst->src[0]; 36 const float * src0_d = (const float *)src0->data; 37 float * dst_d = (float *)dst->data; 38 cudaStream_t stream = ctx.stream(); 39 40 GGML_ASSERT(src0->type == GGML_TYPE_F32); 41 GGML_ASSERT(dst->type == GGML_TYPE_F32); 42 43 const int dim = dst->op_params[0]; 44 const int max_period = dst->op_params[1]; 45 46 timestep_embedding_f32_cuda(src0_d, dst_d, src0->ne[0], dst->nb[1], dim, max_period, stream); 47}