CS348Project/llama.cpp
5
0
Fork 0
mirror of https://github.com/ggml-org/llama.cpp.git synced 2025-10-31 08:51:55 +00:00
Code Issues Packages Projects Releases Wiki Activity

CUDA: fix q_nope_absorbed prec for DS 2 Lite f16 (#13137)

Browse Source
This commit is contained in:
Johannes Gäßler
2025-04-28 09:29:26 +02:00
committed by GitHub
parent 85f36e5e71
commit 69699be48a
3 changed files with 5 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
ggml/include/ggml.h
View File

@@ -393,8 +393,8 @@ extern "C" {
// precision // precision
enum ggml_prec { enum ggml_prec {
GGML_PREC_DEFAULT, GGML_PREC_DEFAULT = 0, // stored as ggml_tensor.op_params, 0 by default
GGML_PREC_F32, GGML_PREC_F32 = 10,
}; };
// model file types // model file types

4
ggml/src/ggml-cuda/ggml-cuda.cu
View File

@@ -1935,8 +1935,8 @@ static void ggml_cuda_mul_mat(ggml_backend_cuda_context & ctx, const ggml_tensor
ggml_cuda_mul_mat_vec(ctx, src0, src1, nullptr, dst); ggml_cuda_mul_mat_vec(ctx, src0, src1, nullptr, dst);
} else if (!split && use_mul_mat_vec_q) { } else if (!split && use_mul_mat_vec_q) {
ggml_cuda_mul_mat_vec_q(ctx, src0, src1, nullptr, dst); ggml_cuda_mul_mat_vec_q(ctx, src0, src1, nullptr, dst);
} else if (!split && src0->type == GGML_TYPE_F16 && (src1->type == GGML_TYPE_F16 || !any_gpus_with_slow_fp16) } else if (!split && src0->type == GGML_TYPE_F16 && (src1->type == GGML_TYPE_F16 || !any_gpus_with_slow_fp16) &&
&& !ggml_is_transposed(src0) && !ggml_is_transposed(src1) && src1->ne[2]*src1->ne[3] > 1) { dst->op_params[0] == GGML_PREC_DEFAULT && !ggml_is_transposed(src0) && !ggml_is_transposed(src1) && src1->ne[2]*src1->ne[3] > 1) {
// general KQ + KQV multi-batch without FlashAttention // general KQ + KQV multi-batch without FlashAttention
ggml_cuda_mul_mat_batched_cublas(ctx, src0, src1, dst); ggml_cuda_mul_mat_batched_cublas(ctx, src0, src1, dst);
} else if (use_mul_mat_vec) { } else if (use_mul_mat_vec) {

1
src/llama-model.cpp
View File

@@ -10149,6 +10149,7 @@ struct llm_build_deepseek2 : public llm_graph_context {
// {n_embd_head_qk_nope, kv_lora_rank, n_head} x {n_embd_head_qk_nope, n_tokens, n_head} // {n_embd_head_qk_nope, kv_lora_rank, n_head} x {n_embd_head_qk_nope, n_tokens, n_head}
ggml_tensor * q_nope_absorbed = ggml_mul_mat(ctx0, model.layers[il].wk_b, q_nope); ggml_tensor * q_nope_absorbed = ggml_mul_mat(ctx0, model.layers[il].wk_b, q_nope);
ggml_mul_mat_set_prec(q_nope_absorbed, GGML_PREC_F32);
cb(q_nope_absorbed, "q_nope_absorbed", il); cb(q_nope_absorbed, "q_nope_absorbed", il);
// {kv_lora_rank, n_head, n_tokens} // {kv_lora_rank, n_head, n_tokens}