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-rw-r--r--examples/lookup/lookup-create.cpp43
1 files changed, 43 insertions, 0 deletions
diff --git a/examples/lookup/lookup-create.cpp b/examples/lookup/lookup-create.cpp
new file mode 100644
index 00000000..46a6bed0
--- /dev/null
+++ b/examples/lookup/lookup-create.cpp
@@ -0,0 +1,43 @@
+#include "ggml.h"
+#include "llama.h"
+#include "common.h"
+#include "ngram-cache.h"
+
+#include <cstdint>
+#include <fstream>
+#include <iostream>
+#include <string>
+#include <unordered_map>
+#include <vector>
+
+int main(int argc, char ** argv){
+ gpt_params params;
+
+ if (!gpt_params_parse(argc, argv, params)) {
+ return 1;
+ }
+ // init llama.cpp
+ llama_backend_init();
+ llama_numa_init(params.numa);
+
+ llama_model * model = NULL;
+ llama_context * ctx = NULL;
+
+ // load the model
+ std::tie(model, ctx) = llama_init_from_gpt_params(params);
+ GGML_ASSERT(model != nullptr);
+
+ // tokenize the prompt
+ const bool add_bos = llama_should_add_bos_token(model);
+
+ std::vector<llama_token> inp;
+ inp = ::llama_tokenize(ctx, params.prompt, add_bos, true);
+ fprintf(stderr, "%s: tokenization done\n", __func__);
+
+
+ llama_ngram_cache ngram_cache;
+ llama_ngram_cache_update(ngram_cache, LLAMA_NGRAM_STATIC, LLAMA_NGRAM_STATIC, inp, inp.size(), true);
+ fprintf(stderr, "%s: hashing done, writing file to %s\n", __func__, params.lookup_cache_static.c_str());
+
+ llama_ngram_cache_save(ngram_cache, params.lookup_cache_static);
+}