vbatts/llama.cpp
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sync : ggml (backend v2) (#3912)

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* 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
This commit is contained in:
Georgi Gerganov 2023-11-13 14:16:23 +02:00 • committed by GitHub
parent bb50a792ec
commit 4760e7cc0b
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22 changed files with 1994 additions and 864 deletions
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examples/llava/clip.cpp
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@ -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;