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llama/ggml: add LLM training support (#10544)

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* llama/ggml: add LLM training support

more compact progress bar

llama_save_model_to_file

llama_opt_param_filter

ggml_graph_dup force_grads

refactor ggml_opt, fix test-opt

* remove logits_all

* refactor CUDA implementation for ACC

* reset graph at beginning of opt period
This commit is contained in:
Johannes Gäßler
2025-05-12 14:44:49 +02:00
committed by GitHub
parent 064cc596ac
commit 10d2af0eaa
31 changed files with 1415 additions and 359 deletions
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3
src/llama-graph.h
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@ -298,6 +298,7 @@ class llm_graph_result_i {
public:
virtual ~llm_graph_result_i() = default;
virtual ggml_tensor * get_tokens() = 0;
virtual ggml_tensor * get_logits() = 0;
virtual ggml_tensor * get_embd() = 0;
virtual ggml_tensor * get_embd_pooled() = 0;
@ -312,6 +313,7 @@ class llm_graph_result : public llm_graph_result_i {
public:
virtual ~llm_graph_result() = default;
ggml_tensor * get_tokens() override { return t_tokens; }
ggml_tensor * get_logits() override { return t_logits; }
ggml_tensor * get_embd() override { return t_embd; }
ggml_tensor * get_embd_pooled() override { return t_embd_pooled; }
@ -328,6 +330,7 @@ public:
}
// important graph nodes
ggml_tensor * t_tokens = nullptr;
ggml_tensor * t_logits = nullptr;
ggml_tensor * t_embd = nullptr;
ggml_tensor * t_embd_pooled = nullptr;