vbatts/llama.cpp
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Tweak GPU offload when skipping unused logits computations

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This commit is contained in:
Olivier Chafik 2023-08-25 14:02:04 +01:00
parent 5553820d90
commit 3be6e8d36f
1 changed files with 9 additions and 5 deletions
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14
llama.cpp
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@ -2191,9 +2191,10 @@ static struct ggml_cgraph * llm_build_llama(
// //
// with the low VRAM option VRAM scratch is disabled in llama_load_model_internal // with the low VRAM option VRAM scratch is disabled in llama_load_model_internal
// in that case ggml_cuda_assign_buffers has no effect // in that case ggml_cuda_assign_buffers has no effect
offload_func_t offload_func_nr = llama_nop; // nr = non-repeating offload_func_t offload_func_nr = llama_nop; // nr = non-repeating
offload_func_t offload_func_kq = llama_nop; offload_func_t offload_func_kq = llama_nop;
offload_func_t offload_func_v = llama_nop; offload_func_t offload_func_v = llama_nop;
offload_func_t offload_func_skip = llama_nop;
#ifdef GGML_USE_CUBLAS #ifdef GGML_USE_CUBLAS
if (n_gpu_layers > n_layer) { if (n_gpu_layers > n_layer) {
@ -2205,6 +2206,9 @@ static struct ggml_cgraph * llm_build_llama(
if (n_gpu_layers > n_layer + 2) { if (n_gpu_layers > n_layer + 2) {
offload_func_kq = ggml_cuda_assign_buffers_no_alloc; offload_func_kq = ggml_cuda_assign_buffers_no_alloc;
} }
if (n_gpu_layers > 0) {
offload_func_skip = ggml_cuda_assign_buffers_no_alloc;
}
#endif // GGML_USE_CUBLAS #endif // GGML_USE_CUBLAS
struct ggml_tensor * KQ_scale = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, 1); struct ggml_tensor * KQ_scale = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, 1);
@ -2288,11 +2292,11 @@ static struct ggml_cgraph * llm_build_llama(
// otherwise for Metal we'd have to rebuild the concurrency list. // otherwise for Metal we'd have to rebuild the concurrency list.
cur = ggml_view_2d(ctx0, cur, n_embd, 1, cur->nb[1], (N - 1)*ggml_element_size(cur)*n_embd); cur = ggml_view_2d(ctx0, cur, n_embd, 1, cur->nb[1], (N - 1)*ggml_element_size(cur)*n_embd);
offload_func_nr(cur); offload_func_skip(cur);
ggml_set_name(cur, "cur-lastpos"); ggml_set_name(cur, "cur-lastpos");
inpSA = ggml_view_2d(ctx0, inpSA, n_embd, 1, inpSA->nb[1], (N - 1)*ggml_element_size(inpSA)*n_embd); inpSA = ggml_view_2d(ctx0, inpSA, n_embd, 1, inpSA->nb[1], (N - 1)*ggml_element_size(inpSA)*n_embd);
offload_func_nr(inpSA); offload_func_skip(inpSA);
ggml_set_name(inpSA, "inpSA-lastpos"); ggml_set_name(inpSA, "inpSA-lastpos");
n_past += N - 1; n_past += N - 1;