mirror of
https://github.com/ggerganov/llama.cpp.git
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llama-bench : allow using a different printer for stderr with -oe (#7722)
compare-commits.sh : hide stdout, use -oe to print markdown
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slaren
GitHub
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@ -140,10 +140,11 @@ static std::string get_gpu_info() {
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}
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// command line params
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enum output_formats {CSV, JSON, MARKDOWN, SQL};
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enum output_formats {NONE, CSV, JSON, MARKDOWN, SQL};
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static const char * output_format_str(output_formats format) {
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switch (format) {
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case NONE: return "none";
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case CSV: return "csv";
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case JSON: return "json";
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case MARKDOWN: return "md";
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@ -152,6 +153,23 @@ static const char * output_format_str(output_formats format) {
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}
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}
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static bool output_format_from_str(const std::string & s, output_formats & format) {
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if (s == "none") {
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format = NONE;
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} else if (s == "csv") {
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format = CSV;
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} else if (s == "json") {
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format = JSON;
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} else if (s == "md") {
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format = MARKDOWN;
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} else if (s == "sql") {
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format = SQL;
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} else {
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return false;
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}
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return true;
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}
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static const char * split_mode_str(llama_split_mode mode) {
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switch (mode) {
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case LLAMA_SPLIT_MODE_NONE: return "none";
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@ -190,31 +208,33 @@ struct cmd_params {
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int reps;
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bool verbose;
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output_formats output_format;
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output_formats output_format_stderr;
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};
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static const cmd_params cmd_params_defaults = {
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/* model */ {"models/7B/ggml-model-q4_0.gguf"},
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/* n_prompt */ {512},
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/* n_gen */ {128},
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/* n_pg */ {},
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/* n_batch */ {2048},
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/* n_ubatch */ {512},
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/* type_k */ {GGML_TYPE_F16},
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/* type_v */ {GGML_TYPE_F16},
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/* n_threads */ {cpu_get_num_math()},
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/* n_gpu_layers */ {99},
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/* rpc_servers */ {""},
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/* split_mode */ {LLAMA_SPLIT_MODE_LAYER},
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/* main_gpu */ {0},
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/* no_kv_offload */ {false},
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/* flash_attn */ {false},
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/* tensor_split */ {std::vector<float>(llama_max_devices(), 0.0f)},
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/* use_mmap */ {true},
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/* embeddings */ {false},
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/* numa */ GGML_NUMA_STRATEGY_DISABLED,
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/* reps */ 5,
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/* verbose */ false,
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/* output_format */ MARKDOWN
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/* model */ {"models/7B/ggml-model-q4_0.gguf"},
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/* n_prompt */ {512},
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/* n_gen */ {128},
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/* n_pg */ {},
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/* n_batch */ {2048},
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/* n_ubatch */ {512},
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/* type_k */ {GGML_TYPE_F16},
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/* type_v */ {GGML_TYPE_F16},
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/* n_threads */ {cpu_get_num_math()},
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/* n_gpu_layers */ {99},
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/* rpc_servers */ {""},
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/* split_mode */ {LLAMA_SPLIT_MODE_LAYER},
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/* main_gpu */ {0},
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/* no_kv_offload */ {false},
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/* flash_attn */ {false},
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/* tensor_split */ {std::vector<float>(llama_max_devices(), 0.0f)},
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/* use_mmap */ {true},
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/* embeddings */ {false},
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/* numa */ GGML_NUMA_STRATEGY_DISABLED,
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/* reps */ 5,
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/* verbose */ false,
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/* output_format */ MARKDOWN,
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/* output_format_stderr */ NONE,
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};
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static void print_usage(int /* argc */, char ** argv) {
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@ -243,6 +263,7 @@ static void print_usage(int /* argc */, char ** argv) {
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printf(" -ts, --tensor-split <ts0/ts1/..> (default: 0)\n");
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printf(" -r, --repetitions <n> (default: %d)\n", cmd_params_defaults.reps);
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printf(" -o, --output <csv|json|md|sql> (default: %s)\n", output_format_str(cmd_params_defaults.output_format));
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printf(" -oe, --output-err <csv|json|md|sql> (default: %s)\n", output_format_str(cmd_params_defaults.output_format_stderr));
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printf(" -v, --verbose (default: %s)\n", cmd_params_defaults.verbose ? "1" : "0");
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printf("\n");
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printf("Multiple values can be given for each parameter by separating them with ',' or by specifying the parameter multiple times.\n");
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@ -284,6 +305,7 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
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params.verbose = cmd_params_defaults.verbose;
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params.output_format = cmd_params_defaults.output_format;
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params.output_format_stderr = cmd_params_defaults.output_format_stderr;
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params.reps = cmd_params_defaults.reps;
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for (int i = 1; i < argc; i++) {
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@ -493,18 +515,13 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
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invalid_param = true;
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break;
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}
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if (argv[i] == std::string("csv")) {
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params.output_format = CSV;
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} else if (argv[i] == std::string("json")) {
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params.output_format = JSON;
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} else if (argv[i] == std::string("md")) {
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params.output_format = MARKDOWN;
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} else if (argv[i] == std::string("sql")) {
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params.output_format = SQL;
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} else {
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invalid_param = !output_format_from_str(argv[i], params.output_format);
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} else if (arg == "-oe" || arg == "--output-err") {
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if (++i >= argc) {
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invalid_param = true;
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break;
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}
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invalid_param = !output_format_from_str(argv[i], params.output_format_stderr);
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} else if (arg == "-v" || arg == "--verbose") {
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params.verbose = true;
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} else {
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@ -1278,6 +1295,22 @@ static void llama_null_log_callback(enum ggml_log_level level, const char * text
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(void) user_data;
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}
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static std::unique_ptr<printer> create_printer(output_formats format) {
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switch (format) {
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case NONE:
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return nullptr;
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case CSV:
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return std::unique_ptr<printer>(new csv_printer());
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case JSON:
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return std::unique_ptr<printer>(new json_printer());
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case MARKDOWN:
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return std::unique_ptr<printer>(new markdown_printer());
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case SQL:
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return std::unique_ptr<printer>(new sql_printer());
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}
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GGML_ASSERT(false);
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}
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int main(int argc, char ** argv) {
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// try to set locale for unicode characters in markdown
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setlocale(LC_CTYPE, ".UTF-8");
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@ -1304,26 +1337,18 @@ int main(int argc, char ** argv) {
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llama_numa_init(params.numa);
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// initialize printer
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std::unique_ptr<printer> p;
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switch (params.output_format) {
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case CSV:
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p.reset(new csv_printer());
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break;
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case JSON:
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p.reset(new json_printer());
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break;
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case MARKDOWN:
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p.reset(new markdown_printer());
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break;
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case SQL:
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p.reset(new sql_printer());
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break;
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default:
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assert(false);
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exit(1);
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std::unique_ptr<printer> p = create_printer(params.output_format);
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std::unique_ptr<printer> p_err = create_printer(params.output_format_stderr);
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if (p) {
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p->fout = stdout;
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p->print_header(params);
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}
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if (p_err) {
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p_err->fout = stderr;
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p_err->print_header(params);
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}
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p->fout = stdout;
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p->print_header(params);
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std::vector<cmd_params_instance> params_instances = get_cmd_params_instances(params);
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@ -1381,7 +1406,15 @@ int main(int argc, char ** argv) {
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t.samples_ns.push_back(t_ns);
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}
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p->print_test(t);
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if (p) {
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p->print_test(t);
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fflush(p->fout);
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}
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if (p_err) {
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p_err->print_test(t);
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fflush(p_err->fout);
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}
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llama_print_timings(ctx);
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@ -1390,7 +1423,13 @@ int main(int argc, char ** argv) {
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llama_free_model(lmodel);
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p->print_footer();
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if (p) {
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p->print_footer();
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}
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if (p_err) {
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p_err->print_footer();
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}
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llama_backend_free();
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@ -10,16 +10,18 @@ set -x
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bench_args="${@:3}"
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rm -f llama-bench.sqlite
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rm -f llama-bench.sqlite > /dev/null
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# to test a backend, call the script with the corresponding environment variable (e.g. LLAMA_CUDA=1 ./scripts/compare-commits.sh ...)
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git checkout $1
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make clean && make -j32 $make_opts llama-bench
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./llama-bench -o sql $bench_args | tee /dev/tty | sqlite3 llama-bench.sqlite
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git checkout $1 > /dev/null
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make clean > /dev/null
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make -j$(nproc) $make_opts llama-bench > /dev/null
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./llama-bench -o sql -oe md $bench_args | sqlite3 llama-bench.sqlite
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git checkout $2
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make clean && make -j32 $make_opts llama-bench
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./llama-bench -o sql $bench_args | tee /dev/tty | sqlite3 llama-bench.sqlite
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git checkout $2 > /dev/null
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make clean > /dev/null
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make -j$(nproc) $make_opts llama-bench > /dev/null
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./llama-bench -o sql -oe md $bench_args | sqlite3 llama-bench.sqlite
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./scripts/compare-llama-bench.py -b $1 -c $2
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