Spaces:
Running
Running
File size: 1,877 Bytes
bf225d6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
#include "add-id.cuh"
static __global__ void add_id_kernel(
const float * src0, const float * src1, const int32_t * src2, float * dst,
int64_t ne0, int64_t ne1,
size_t nb01, size_t nb02,
size_t nb11,
size_t nb21
) {
const int64_t i1 = blockIdx.x;
const int64_t i2 = blockIdx.y;
const int i11 = *(int32_t *) ((char *) src2 + i1*sizeof(int32_t) + i2*nb21);
const size_t nb1 = ne0 * sizeof(float);
const size_t nb2 = ne1 * nb1;
float * dst_row = (float *)((char *)dst + i1*nb1 + i2*nb2);
const float * src0_row = (const float *)((char *)src0 + i1*nb01 + i2*nb02);
const float * src1_row = (const float *)((char *)src1 + i11*nb11);
for (int64_t i0 = threadIdx.x; i0 < ne0; i0 += blockDim.x) {
dst_row[i0] = src0_row[i0] + src1_row[i0];
}
}
void ggml_cuda_op_add_id(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
const ggml_tensor * src0 = dst->src[0];
const ggml_tensor * src1 = dst->src[1];
const ggml_tensor * src2 = dst->src[2];
GGML_TENSOR_TERNARY_OP_LOCALS
GGML_ASSERT(dst->type == GGML_TYPE_F32);
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT(src1->type == GGML_TYPE_F32);
GGML_ASSERT(src2->type == GGML_TYPE_I32);
GGML_ASSERT(nb00 == sizeof(float));
GGML_ASSERT(nb10 == sizeof(float));
GGML_ASSERT(nb20 == sizeof(int32_t));
const float * src0_d = (const float *)src0->data;
const float * src1_d = (const float *)src1->data;
const int32_t * src2_d = (const int32_t *)src2->data;
float * dst_d = (float *)dst->data;
int threads = std::min((int)ne00, 768); // cols
dim3 blocks(ne01, ne02); // n_experts_used, n_tokens
add_id_kernel<<<blocks, threads, 0, ctx.stream()>>>(
src0_d, src1_d, src2_d, dst_d,
ne0, ne1,
nb01, nb02,
nb11,
nb21
);
}
|