llama-bench : add graph reuse parameter

ggml-ci
This commit is contained in:
Georgi Gerganov
2025-07-07 09:07:15 +03:00
parent 76681e3c73
commit 0d2038f90a

View File

@@ -261,6 +261,7 @@ struct cmd_params {
std::vector<bool> use_mmap;
std::vector<bool> embeddings;
std::vector<bool> no_op_offload;
std::vector<bool> graph_reuse;
ggml_numa_strategy numa;
int reps;
ggml_sched_priority prio;
@@ -298,6 +299,7 @@ static const cmd_params cmd_params_defaults = {
/* use_mmap */ { true },
/* embeddings */ { false },
/* no_op_offload */ { false },
/* graph_reuse */ { false },
/* numa */ GGML_NUMA_STRATEGY_DISABLED,
/* reps */ 5,
/* prio */ GGML_SCHED_PRIO_NORMAL,
@@ -377,6 +379,7 @@ static void print_usage(int /* argc */, char ** argv) {
printf(" -ot --override-tensors <tensor name pattern>=<buffer type>;...\n");
printf(" (default: disabled)\n");
printf(" -nopo, --no-op-offload <0|1> (default: 0)\n");
printf(" -gr, --graph-reuse <0|1> (default: 0)\n");
printf("\n");
printf(
"Multiple values can be given for each parameter by separating them with ','\n"
@@ -620,6 +623,13 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
}
auto p = string_split<bool>(argv[i], split_delim);
params.no_kv_offload.insert(params.no_kv_offload.end(), p.begin(), p.end());
} else if (arg == "-gr" || arg == "--graph-reuse") {
if (++i >= argc) {
invalid_param = true;
break;
}
auto p = string_split<bool>(argv[i], split_delim);
params.graph_reuse.insert(params.graph_reuse.end(), p.begin(), p.end());
} else if (arg == "--numa") {
if (++i >= argc) {
invalid_param = true;
@@ -885,6 +895,9 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
if (params.no_op_offload.empty()) {
params.no_op_offload = cmd_params_defaults.no_op_offload;
}
if (params.graph_reuse.empty()) {
params.graph_reuse = cmd_params_defaults.graph_reuse;
}
if (params.n_threads.empty()) {
params.n_threads = cmd_params_defaults.n_threads;
}
@@ -926,6 +939,7 @@ struct cmd_params_instance {
bool use_mmap;
bool embeddings;
bool no_op_offload;
bool graph_reuse;
llama_model_params to_llama_mparams() const {
llama_model_params mparams = llama_model_default_params();
@@ -998,6 +1012,7 @@ struct cmd_params_instance {
cparams.embeddings = embeddings;
cparams.op_offload = !no_op_offload;
cparams.swa_full = false;
cparams.graph_reuse = graph_reuse;
return cparams;
}
@@ -1018,6 +1033,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
for (const auto & mmp : params.use_mmap)
for (const auto & embd : params.embeddings)
for (const auto & nopo : params.no_op_offload)
for (const auto & gr : params.graph_reuse)
for (const auto & nb : params.n_batch)
for (const auto & nub : params.n_ubatch)
for (const auto & tk : params.type_k)
@@ -1059,6 +1075,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
/* .use_mmap = */ mmp,
/* .embeddings = */ embd,
/* .no_op_offload= */ nopo,
/* .graph_reuse = */ gr,
};
instances.push_back(instance);
}
@@ -1092,6 +1109,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
/* .use_mmap = */ mmp,
/* .embeddings = */ embd,
/* .no_op_offload= */ nopo,
/* .graph_reuse = */ gr,
};
instances.push_back(instance);
}
@@ -1125,6 +1143,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
/* .use_mmap = */ mmp,
/* .embeddings = */ embd,
/* .no_op_offload= */ nopo,
/* .graph_reuse = */ gr,
};
instances.push_back(instance);
}
@@ -1162,6 +1181,7 @@ struct test {
bool use_mmap;
bool embeddings;
bool no_op_offload;
bool graph_reuse;
int n_prompt;
int n_gen;
int n_depth;
@@ -1197,6 +1217,7 @@ struct test {
use_mmap = inst.use_mmap;
embeddings = inst.embeddings;
no_op_offload = inst.no_op_offload;
graph_reuse = inst.graph_reuse;
n_prompt = inst.n_prompt;
n_gen = inst.n_gen;
n_depth = inst.n_depth;
@@ -1243,8 +1264,8 @@ struct test {
"cpu_mask", "cpu_strict", "poll", "type_k", "type_v", "n_gpu_layers",
"split_mode", "main_gpu", "no_kv_offload", "flash_attn", "tensor_split", "tensor_buft_overrides",
"defrag_thold",
"use_mmap", "embeddings", "no_op_offload", "n_prompt", "n_gen", "n_depth", "test_time",
"avg_ns", "stddev_ns", "avg_ts", "stddev_ts",
"use_mmap", "embeddings", "no_op_offload", "graph_reuse", "n_prompt", "n_gen", "n_depth",
"test_time", "avg_ns", "stddev_ns", "avg_ts", "stddev_ts",
};
return fields;
}
@@ -1259,7 +1280,7 @@ struct test {
return INT;
}
if (field == "f16_kv" || field == "no_kv_offload" || field == "cpu_strict" || field == "flash_attn" ||
field == "use_mmap" || field == "embeddings") {
field == "use_mmap" || field == "embeddings" || field == "graph_reuse") {
return BOOL;
}
if (field == "avg_ts" || field == "stddev_ts" || field == "defrag_thold") {
@@ -1333,6 +1354,7 @@ struct test {
std::to_string(use_mmap),
std::to_string(embeddings),
std::to_string(no_op_offload),
std::to_string(graph_reuse),
std::to_string(n_prompt),
std::to_string(n_gen),
std::to_string(n_depth),
@@ -1518,6 +1540,9 @@ struct markdown_printer : public printer {
if (field == "no_op_offload") {
return 4;
}
if (field == "graph_reuse") {
return 4;
}
int width = std::max((int) field.length(), 10);
@@ -1552,6 +1577,9 @@ struct markdown_printer : public printer {
if (field == "no_op_offload") {
return "nopo";
}
if (field == "graph_reuse") {
return "gr";
}
if (field == "tensor_split") {
return "ts";
}
@@ -1626,6 +1654,9 @@ struct markdown_printer : public printer {
if (params.no_op_offload.size() > 1 || params.no_op_offload != cmd_params_defaults.no_op_offload) {
fields.emplace_back("no_op_offload");
}
if (params.graph_reuse.size() > 1 || params.graph_reuse != cmd_params_defaults.graph_reuse) {
fields.emplace_back("graph_reuse");
}
fields.emplace_back("test");
fields.emplace_back("t/s");