// TODO: make this more general
GGML_ASSERT(n_as <= 8);
- // max size of the src1ids array in the kernel stack
- GGML_ASSERT(ne11 <= 512);
+ // max size of the src1ids array in the kernel shared buffer
+ GGML_ASSERT(ne11 <= 4096);
const int64_t ne20 = src2 ? src2->ne[0] : 0;
const int64_t ne21 = src2 ? src2->ne[1] : 0;
[encoder setBuffer:id_src_cur offset:offs_src_cur atIndex:19 + j];
}
- [encoder setThreadgroupMemoryLength:8192 atIndex:0];
+ [encoder setThreadgroupMemoryLength:GGML_PAD(8192 + 2*ne11, 16) atIndex:0];
[encoder dispatchThreadgroups:MTLSizeMake((ne11 + 31)/32, (ne21 + 63)/64, n_as*ne12*ne13) threadsPerThreadgroup:MTLSizeMake(128, 1, 1)];
} else {
void kernel_mul_mm_id_impl(
device const uchar * src0,
device const uchar * src1,
- thread short * src1ids,
+ threadgroup short * src1ids,
device float * dst,
constant int64_t & ne00,
constant int64_t & ne02,
tgpig.z = tgpig.z%(ne12*ne13);
// row indices of src1 for expert id
- int64_t _ne1 = 0;
- short src1ids[512];
+ threadgroup short * src1ids = (threadgroup short *)(shared_memory + 8192);
+ int64_t _ne1 = 0;
for (int64_t i1 = 0; i1 < ne1; i1++) {
if (((device int32_t *) (ids + i1*nbi1))[idx] == id) {
src1ids[_ne1++] = i1;