Remove annoying warnings (unused functions)
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bd2a93d475
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e5b8be6863
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@ -619,7 +619,7 @@ static std::vector<T> string_split(const std::string & str, char delim) {
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}
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template<>
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std::vector<std::string> string_split<std::string>(const std::string & input, char separator)
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inline std::vector<std::string> string_split<std::string>(const std::string & input, char separator)
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{
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std::vector<std::string> parts;
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size_t begin_pos = 0;
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@ -634,7 +634,7 @@ std::vector<std::string> string_split<std::string>(const std::string & input, ch
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return parts;
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}
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static bool string_starts_with(const std::string & str,
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inline bool string_starts_with(const std::string & str,
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const std::string & prefix) { // While we wait for C++20's std::string::starts_with...
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return str.rfind(prefix, 0) == 0;
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}
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@ -831,11 +831,11 @@ const char * const LLM_KV_SPLIT_TENSORS_COUNT = "split.tensors.count";
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const char * const LLM_FFN_EXPS_REGEX = "\\.ffn_(up|down|gate)_(ch|)exps";
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static std::string llm_ffn_exps_block_regex(int idx) {
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inline std::string llm_ffn_exps_block_regex(int idx) {
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return string_format("blk\\.%d%s", idx, LLM_FFN_EXPS_REGEX);
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}
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static llama_model_tensor_buft_override llm_ffn_exps_cpu_override() {
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inline llama_model_tensor_buft_override llm_ffn_exps_cpu_override() {
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return { LLM_FFN_EXPS_REGEX, ggml_backend_cpu_buffer_type() };
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}
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