mmq.cu: tune mmq/wmma switching for RDNA
This commit is contained in:
parent
69a9a68bf7
commit
a435c7725b
|
|
@ -333,16 +333,24 @@ bool ggml_cuda_should_use_mmq(enum ggml_type type, int cc, int64_t ne11, int64_t
|
|||
}
|
||||
|
||||
if (amd_wmma_available(cc)) {
|
||||
if (n_experts > 64 || ne11 <= 128) {
|
||||
// High expert counts almost always better on MMQ
|
||||
// due to a large amount of graph splits
|
||||
// https://github.com/ggml-org/llama.cpp/pull/18202
|
||||
if (n_experts >= 64) {
|
||||
return true;
|
||||
}
|
||||
if (type == GGML_TYPE_Q4_0 || type == GGML_TYPE_Q4_1 || type == GGML_TYPE_Q5_0 || type == GGML_TYPE_Q5_1) {
|
||||
return true;
|
||||
|
||||
switch (type) {
|
||||
// These quants are really bad on MMQ
|
||||
case GGML_TYPE_Q2_K:
|
||||
case GGML_TYPE_Q6_K:
|
||||
// These quants are usually worse but not always
|
||||
case GGML_TYPE_IQ2_XS:
|
||||
case GGML_TYPE_IQ2_S:
|
||||
return ne11 <= 128;
|
||||
default:
|
||||
return true;
|
||||
}
|
||||
if (ne11 <= 256 && (type == GGML_TYPE_Q4_K || type == GGML_TYPE_Q5_K)) {
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
return (!GGML_CUDA_CC_IS_CDNA(cc)) || ne11 < MMQ_DP4A_MAX_BATCH_SIZE;
|
||||
|
|
|
|||
Loading…
Reference in New Issue