llama/ggml: add LLM training support (#10544)
* 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
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064cc596ac
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31 changed files with 1415 additions and 359 deletions
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@ -301,12 +301,12 @@ namespace GGUFMeta {
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GGUFMeta::GKV<GGUFMeta::ArrayInfo>::get_kv(meta.get(), kid);
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switch (arr_info.gt) {
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case GGUF_TYPE_FLOAT32: GGML_ASSERT((std::is_same<T, float>::value)); break;
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case GGUF_TYPE_INT32: GGML_ASSERT(
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(std::is_same<T, int32_t>::value) ||
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(std::is_same<T, uint32_t>::value)); break;
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case GGUF_TYPE_UINT32:
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case GGUF_TYPE_INT32: GGML_ASSERT((std::is_same<T, int32_t>::value) ||
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(std::is_same<T, uint32_t>::value)); break;
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case GGUF_TYPE_FLOAT32: GGML_ASSERT((std::is_same<T, float>::value)); break;
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default:
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throw std::runtime_error(format("%s is not a float32, int32 array", key.c_str()));
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throw std::runtime_error(format("%s is not a float32/uint32/int32 array", key.c_str()));
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}
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result.resize(arr_info.length);
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@ -330,12 +330,12 @@ namespace GGUFMeta {
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GGUFMeta::GKV<GGUFMeta::ArrayInfo>::get_kv(meta.get(), kid);
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switch (arr_info.gt) {
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case GGUF_TYPE_FLOAT32: GGML_ASSERT((std::is_same<T, float>::value)); break;
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case GGUF_TYPE_INT32: GGML_ASSERT(
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(std::is_same<T, int32_t>::value) ||
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(std::is_same<T, uint32_t>::value)); break;
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case GGUF_TYPE_UINT32:
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case GGUF_TYPE_INT32: GGML_ASSERT((std::is_same<T, int32_t>::value) ||
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(std::is_same<T, uint32_t>::value)); break;
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case GGUF_TYPE_FLOAT32: GGML_ASSERT((std::is_same<T, float>::value)); break;
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default:
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throw std::runtime_error(format("%s is not a float32, int32 array", key.c_str()));
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throw std::runtime_error(format("%s is not a float32/uint32/int32 array", key.c_str()));
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}
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if (arr_info.length > N_MAX) {
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