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(a: -logf(a: max_period) * j / half);
21 float arg = timestep * freq;
22 embed_data[j] = cosf(a: arg);
23 embed_data[j + half] = sinf(a: 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, sharedMem: 0, stream>>>(timesteps: 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}
48