mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2026-07-10 05:00:29 +00:00
Merge branch 'master' into gg/flash-attn
ggml-ci
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+7
-5
@@ -108,7 +108,7 @@ int32_t get_num_physical_cores() {
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return n_threads > 0 ? (n_threads <= 4 ? n_threads : n_threads / 2) : 4;
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}
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#if defined(__x86_64__) && defined(__linux__)
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#if defined(__x86_64__) && defined(__linux__) && !defined(__ANDROID__)
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#include <pthread.h>
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static void cpuid(unsigned leaf, unsigned subleaf,
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@@ -162,7 +162,7 @@ static int count_math_cpus(int cpu_count) {
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* Returns number of CPUs on system that are useful for math.
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*/
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int get_math_cpu_count() {
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#if defined(__x86_64__) && defined(__linux__)
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#if defined(__x86_64__) && defined(__linux__) && !defined(__ANDROID__)
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int cpu_count = sysconf(_SC_NPROCESSORS_ONLN);
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if (cpu_count < 1) {
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return get_num_physical_cores();
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@@ -242,7 +242,9 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
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invalid_param = true;
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return true;
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}
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// This is temporary, in the future the samplign state will be moved fully to llama_sampling_context.
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params.seed = std::stoul(argv[i]);
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sparams.seed = std::stoul(argv[i]);
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return true;
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}
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if (arg == "-t" || arg == "--threads") {
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@@ -2332,12 +2334,12 @@ std::vector<llama_token> llama_tokenize(
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return result;
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}
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std::string llama_token_to_piece(const struct llama_context * ctx, llama_token token) {
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std::string llama_token_to_piece(const struct llama_context * ctx, llama_token token, bool special) {
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std::vector<char> result(8, 0);
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const int n_tokens = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size());
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const int n_tokens = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), special);
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if (n_tokens < 0) {
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result.resize(-n_tokens);
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int check = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size());
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int check = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), special);
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GGML_ASSERT(check == -n_tokens);
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} else {
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result.resize(n_tokens);
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