llama-bench : add JSONL (NDJSON) output mode (#9288)

* llama-bench : add JSONL (NDJSON) output mode

* llama-bench : update usage docs
This commit is contained in:
Aarni Koskela 2024-09-03 20:58:54 +03:00 committed by GitHub
parent b69a480af4
commit 8962422b1c
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2 changed files with 127 additions and 81 deletions

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@ -14,7 +14,8 @@ Performance testing tool for llama.cpp.
1. [Markdown](#markdown)
2. [CSV](#csv)
3. [JSON](#json)
4. [SQL](#sql)
4. [JSONL](#jsonl)
5. [SQL](#sql)
## Syntax
@ -26,13 +27,17 @@ options:
-m, --model <filename> (default: models/7B/ggml-model-q4_0.gguf)
-p, --n-prompt <n> (default: 512)
-n, --n-gen <n> (default: 128)
-pg <pp,tg> (default: 512,128)
-pg <pp,tg> (default: )
-b, --batch-size <n> (default: 2048)
-ub, --ubatch-size <n> (default: 512)
-ctk, --cache-type-k <t> (default: f16)
-ctv, --cache-type-v <t> (default: f16)
-t, --threads <n> (default: 16)
-t, --threads <n> (default: 8)
-C, --cpu-mask <hex,hex> (default: 0x0)
--cpu-strict <0|1> (default: 0)
--poll <0...100> (default: 50)
-ngl, --n-gpu-layers <n> (default: 99)
-rpc, --rpc <rpc_servers> (default: )
-sm, --split-mode <none|layer|row> (default: layer)
-mg, --main-gpu <i> (default: 0)
-nkvo, --no-kv-offload <0|1> (default: 0)
@ -42,7 +47,10 @@ options:
-embd, --embeddings <0|1> (default: 0)
-ts, --tensor-split <ts0/ts1/..> (default: 0)
-r, --repetitions <n> (default: 5)
-o, --output <csv|json|md|sql> (default: md)
--prio <0|1|2|3> (default: 0)
--delay <0...N> (seconds) (default: 0)
-o, --output <csv|json|jsonl|md|sql> (default: md)
-oe, --output-err <csv|json|jsonl|md|sql> (default: none)
-v, --verbose (default: 0)
Multiple values can be given for each parameter by separating them with ',' or by specifying the parameter multiple times.
@ -238,6 +246,19 @@ $ ./llama-bench -o json
]
```
### JSONL
```sh
$ ./llama-bench -o jsonl
```
```json lines
{"build_commit":"3469684","build_number":1275,"cuda":true,"metal":false,"gpu_blas":true,"blas":true,"cpu_info":"13th Gen Intel(R) Core(TM) i9-13900K","gpu_info":"NVIDIA GeForce RTX 3090 Ti","model_filename":"models/7B/ggml-model-q4_0.gguf","model_type":"llama 7B mostly Q4_0","model_size":3825065984,"model_n_params":6738415616,"n_batch":512,"n_threads":16,"f16_kv":true,"n_gpu_layers":99,"main_gpu":0,"mul_mat_q":true,"tensor_split":"0.00","n_prompt":512,"n_gen":0,"test_time":"2023-09-23T12:09:57Z","avg_ns":212365953,"stddev_ns":985423,"avg_ts":2410.974041,"stddev_ts":11.163766,"samples_ns":[213837238,211635853,212328053,211329715,212698907],"samples_ts":[2394.34,2419.25,2411.36,2422.75,2407.16]}
{"build_commit":"3469684","build_number":1275,"cuda":true,"metal":false,"gpu_blas":true,"blas":true,"cpu_info":"13th Gen Intel(R) Core(TM) i9-13900K","gpu_info":"NVIDIA GeForce RTX 3090 Ti","model_filename":"models/7B/ggml-model-q4_0.gguf","model_type":"llama 7B mostly Q4_0","model_size":3825065984,"model_n_params":6738415616,"n_batch":512,"n_threads":16,"f16_kv":true,"n_gpu_layers":99,"main_gpu":0,"mul_mat_q":true,"tensor_split":"0.00","n_prompt":0,"n_gen":128,"test_time":"2023-09-23T12:09:59Z","avg_ns":977425219,"stddev_ns":9268593,"avg_ts":130.965708,"stddev_ts":1.238924,"samples_ns":[984472709,974901233,989474741,970729355,967548060],"samples_ts":[130.019,131.295,129.362,131.86,132.293]}
```
### SQL
SQL output is suitable for importing into a SQLite database. The output can be piped into the `sqlite3` command line tool to add the results to a database.

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@ -171,13 +171,14 @@ static std::string get_gpu_info() {
}
// command line params
enum output_formats {NONE, CSV, JSON, MARKDOWN, SQL};
enum output_formats {NONE, CSV, JSON, JSONL, MARKDOWN, SQL};
static const char * output_format_str(output_formats format) {
switch (format) {
case NONE: return "none";
case CSV: return "csv";
case JSON: return "json";
case JSONL: return "jsonl";
case MARKDOWN: return "md";
case SQL: return "sql";
default: GGML_ABORT("invalid output format");
@ -191,6 +192,8 @@ static bool output_format_from_str(const std::string & s, output_formats & forma
format = CSV;
} else if (s == "json") {
format = JSON;
} else if (s == "jsonl") {
format = JSONL;
} else if (s == "md") {
format = MARKDOWN;
} else if (s == "sql") {
@ -308,8 +311,8 @@ static void print_usage(int /* argc */, char ** argv) {
printf(" -r, --repetitions <n> (default: %d)\n", cmd_params_defaults.reps);
printf(" --prio <0|1|2|3> (default: %d)\n", cmd_params_defaults.prio);
printf(" --delay <0...N> (seconds) (default: %d)\n", cmd_params_defaults.delay);
printf(" -o, --output <csv|json|md|sql> (default: %s)\n", output_format_str(cmd_params_defaults.output_format));
printf(" -oe, --output-err <csv|json|md|sql> (default: %s)\n", output_format_str(cmd_params_defaults.output_format_stderr));
printf(" -o, --output <csv|json|jsonl|md|sql> (default: %s)\n", output_format_str(cmd_params_defaults.output_format));
printf(" -oe, --output-err <csv|json|jsonl|md|sql> (default: %s)\n", output_format_str(cmd_params_defaults.output_format_stderr));
printf(" -v, --verbose (default: %s)\n", cmd_params_defaults.verbose ? "1" : "0");
printf("\n");
printf("Multiple values can be given for each parameter by separating them with ',' or by specifying the parameter multiple times.\n");
@ -1074,8 +1077,6 @@ struct csv_printer : public printer {
}
};
struct json_printer : public printer {
bool first = true;
static std::string escape_json(const std::string & value) {
std::string escaped;
@ -1095,7 +1096,7 @@ struct json_printer : public printer {
return escaped;
}
static std::string format_value(const std::string & field, const std::string & value) {
static std::string format_json_value(const std::string & field, const std::string & value) {
switch (test::get_field_type(field)) {
case test::STRING:
return "\"" + escape_json(value) + "\"";
@ -1106,6 +1107,9 @@ struct json_printer : public printer {
}
}
struct json_printer : public printer {
bool first = true;
void print_header(const cmd_params & params) override {
fprintf(fout, "[\n");
(void) params;
@ -1114,7 +1118,7 @@ struct json_printer : public printer {
void print_fields(const std::vector<std::string> & fields, const std::vector<std::string> & values) {
assert(fields.size() == values.size());
for (size_t i = 0; i < fields.size(); i++) {
fprintf(fout, " \"%s\": %s,\n", fields.at(i).c_str(), format_value(fields.at(i), values.at(i)).c_str());
fprintf(fout, " \"%s\": %s,\n", fields.at(i).c_str(), format_json_value(fields.at(i), values.at(i)).c_str());
}
}
@ -1137,6 +1141,25 @@ struct json_printer : public printer {
}
};
struct jsonl_printer : public printer {
void print_fields(const std::vector<std::string> & fields, const std::vector<std::string> & values) {
assert(fields.size() == values.size());
for (size_t i = 0; i < fields.size(); i++) {
fprintf(fout, "\"%s\": %s, ", fields.at(i).c_str(), format_json_value(fields.at(i), values.at(i)).c_str());
}
}
void print_test(const test & t) override {
fprintf(fout, "{");
print_fields(test::get_fields(), t.get_values());
fprintf(fout, "\"samples_ns\": [ %s ],", join(t.samples_ns, ", ").c_str());
fprintf(fout, "\"samples_ts\": [ %s ]", join(t.get_ts(), ", ").c_str());
fprintf(fout, "}\n");
fflush(fout);
}
};
struct markdown_printer : public printer {
std::vector<std::string> fields;
@ -1437,6 +1460,8 @@ static std::unique_ptr<printer> create_printer(output_formats format) {
return std::unique_ptr<printer>(new csv_printer());
case JSON:
return std::unique_ptr<printer>(new json_printer());
case JSONL:
return std::unique_ptr<printer>(new jsonl_printer());
case MARKDOWN:
return std::unique_ptr<printer>(new markdown_printer());
case SQL: