sync : ggml (backend v2) (#3912)

* sync : ggml (backend v2) (wip)

* sync : migrate examples and llama.cpp to dynamic graphs (wip)

* sync : update tests + fix max op params to 64

ggml-ci

* sync : ggml-cuda

ggml-ci

* llama : fix save/load state context size

ggml-ci

* sync : try to fix build on tvOS

* sync : pass custom graph sizes in training examples

* sync : update graph copies to new ggml API

* sync : update sync-ggml.sh with new files

* scripts : fix header in sync script

* train : fix context size calculations

* llama : increase inference graph size up to 4096 nodes

* train : allocate grads for backward graphs

* train : allocate grads for gb_tmp

1 files changed, 1 insertions, 1 deletions

diff --git a/examples/llava/clip.cpp b/examples/llava/clip.cpp
index 3c909c7d..c26ee495 100644
--- a/examples/llava/clip.cpp
+++ b/examples/llava/clip.cpp
@@ -664,7 +664,7 @@ struct clip_ctx * clip_model_load(const char * fname, const int verbosity = 1) {
 // measure mem requirement and allocate
     {
         static const size_t tensor_alignment = 32;
-        new_clip->buf_compute.resize(ggml_tensor_overhead()*GGML_MAX_NODES + ggml_graph_overhead());
+        new_clip->buf_compute.resize(ggml_tensor_overhead()*GGML_DEFAULT_GRAPH_SIZE + ggml_graph_overhead());
         new_clip->alloc = ggml_allocr_new_measure(tensor_alignment);
         clip_image_f32_batch batch;
         batch.size = 1;