mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-06-26 19:55:04 +00:00
Add --no-op-offload
to improve -ot
pp perf in MoE models like llama4 400B (#13386)
This commit is contained in:
@ -219,6 +219,7 @@ struct cmd_params {
|
||||
std::vector<std::vector<llama_model_tensor_buft_override>> tensor_buft_overrides;
|
||||
std::vector<bool> use_mmap;
|
||||
std::vector<bool> embeddings;
|
||||
std::vector<bool> no_op_offload;
|
||||
ggml_numa_strategy numa;
|
||||
int reps;
|
||||
ggml_sched_priority prio;
|
||||
@ -253,6 +254,7 @@ static const cmd_params cmd_params_defaults = {
|
||||
/* tensor_buft_overrides*/ { std::vector<llama_model_tensor_buft_override>{{nullptr,nullptr}} },
|
||||
/* use_mmap */ { true },
|
||||
/* embeddings */ { false },
|
||||
/* no_op_offload */ { false },
|
||||
/* numa */ GGML_NUMA_STRATEGY_DISABLED,
|
||||
/* reps */ 5,
|
||||
/* prio */ GGML_SCHED_PRIO_NORMAL,
|
||||
@ -311,6 +313,7 @@ static void print_usage(int /* argc */, char ** argv) {
|
||||
join(cmd_params_defaults.embeddings, ",").c_str());
|
||||
printf(" -ts, --tensor-split <ts0/ts1/..> (default: 0)\n");
|
||||
printf(" -ot --override-tensors <tensor name pattern>=<buffer type>;... (default: disabled)\n");
|
||||
printf(" -nopo, --no-op-offload <i> (default: 0)\n");
|
||||
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);
|
||||
@ -588,6 +591,13 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
|
||||
}
|
||||
auto p = string_split<bool>(argv[i], split_delim);
|
||||
params.embeddings.insert(params.embeddings.end(), p.begin(), p.end());
|
||||
} else if (arg == "-nopo" || arg == "--no-op-offload") {
|
||||
if (++i >= argc) {
|
||||
invalid_param = true;
|
||||
break;
|
||||
}
|
||||
auto p = string_split<bool>(argv[i], split_delim);
|
||||
params.no_op_offload.insert(params.no_op_offload.end(), p.begin(), p.end());
|
||||
} else if (arg == "-ts" || arg == "--tensor-split") {
|
||||
if (++i >= argc) {
|
||||
invalid_param = true;
|
||||
@ -794,6 +804,9 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
|
||||
if (params.embeddings.empty()) {
|
||||
params.embeddings = cmd_params_defaults.embeddings;
|
||||
}
|
||||
if (params.no_op_offload.empty()) {
|
||||
params.no_op_offload = cmd_params_defaults.no_op_offload;
|
||||
}
|
||||
if (params.n_threads.empty()) {
|
||||
params.n_threads = cmd_params_defaults.n_threads;
|
||||
}
|
||||
@ -833,6 +846,7 @@ struct cmd_params_instance {
|
||||
std::vector<llama_model_tensor_buft_override> tensor_buft_overrides;
|
||||
bool use_mmap;
|
||||
bool embeddings;
|
||||
bool no_op_offload;
|
||||
|
||||
llama_model_params to_llama_mparams() const {
|
||||
llama_model_params mparams = llama_model_default_params();
|
||||
@ -902,6 +916,7 @@ struct cmd_params_instance {
|
||||
cparams.offload_kqv = !no_kv_offload;
|
||||
cparams.flash_attn = flash_attn;
|
||||
cparams.embeddings = embeddings;
|
||||
cparams.op_offload = !no_op_offload;
|
||||
|
||||
return cparams;
|
||||
}
|
||||
@ -921,6 +936,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
|
||||
for (const auto & ot : params.tensor_buft_overrides)
|
||||
for (const auto & mmp : params.use_mmap)
|
||||
for (const auto & embd : params.embeddings)
|
||||
for (const auto & nopo : params.no_op_offload)
|
||||
for (const auto & nb : params.n_batch)
|
||||
for (const auto & nub : params.n_ubatch)
|
||||
for (const auto & tk : params.type_k)
|
||||
@ -959,6 +975,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
|
||||
/* .tensor_buft_overrides = */ ot,
|
||||
/* .use_mmap = */ mmp,
|
||||
/* .embeddings = */ embd,
|
||||
/* .no_op_offload= */ nopo,
|
||||
};
|
||||
instances.push_back(instance);
|
||||
}
|
||||
@ -990,6 +1007,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
|
||||
/* .tensor_buft_overrides = */ ot,
|
||||
/* .use_mmap = */ mmp,
|
||||
/* .embeddings = */ embd,
|
||||
/* .no_op_offload= */ nopo,
|
||||
};
|
||||
instances.push_back(instance);
|
||||
}
|
||||
@ -1021,6 +1039,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
|
||||
/* .tensor_buft_overrides = */ ot,
|
||||
/* .use_mmap = */ mmp,
|
||||
/* .embeddings = */ embd,
|
||||
/* .no_op_offload= */ nopo,
|
||||
};
|
||||
instances.push_back(instance);
|
||||
}
|
||||
@ -1056,6 +1075,7 @@ struct test {
|
||||
std::vector<llama_model_tensor_buft_override> tensor_buft_overrides;
|
||||
bool use_mmap;
|
||||
bool embeddings;
|
||||
bool no_op_offload;
|
||||
int n_prompt;
|
||||
int n_gen;
|
||||
int n_depth;
|
||||
@ -1089,6 +1109,7 @@ struct test {
|
||||
tensor_buft_overrides = inst.tensor_buft_overrides;
|
||||
use_mmap = inst.use_mmap;
|
||||
embeddings = inst.embeddings;
|
||||
no_op_offload = inst.no_op_offload;
|
||||
n_prompt = inst.n_prompt;
|
||||
n_gen = inst.n_gen;
|
||||
n_depth = inst.n_depth;
|
||||
@ -1134,7 +1155,7 @@ struct test {
|
||||
"model_type", "model_size", "model_n_params", "n_batch", "n_ubatch", "n_threads",
|
||||
"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",
|
||||
"use_mmap", "embeddings", "n_prompt", "n_gen", "n_depth", "test_time",
|
||||
"use_mmap", "embeddings", "no_op_offload", "n_prompt", "n_gen", "n_depth", "test_time",
|
||||
"avg_ns", "stddev_ns", "avg_ts", "stddev_ts",
|
||||
};
|
||||
return fields;
|
||||
@ -1146,7 +1167,7 @@ struct test {
|
||||
if (field == "build_number" || field == "n_batch" || field == "n_ubatch" || field == "n_threads" ||
|
||||
field == "poll" || field == "model_size" || field == "model_n_params" || field == "n_gpu_layers" ||
|
||||
field == "main_gpu" || field == "n_prompt" || field == "n_gen" || field == "n_depth" ||
|
||||
field == "avg_ns" || field == "stddev_ns") {
|
||||
field == "avg_ns" || field == "stddev_ns" || field == "no_op_offload") {
|
||||
return INT;
|
||||
}
|
||||
if (field == "f16_kv" || field == "no_kv_offload" || field == "cpu_strict" || field == "flash_attn" ||
|
||||
@ -1222,6 +1243,7 @@ struct test {
|
||||
tensor_buft_overrides_str,
|
||||
std::to_string(use_mmap),
|
||||
std::to_string(embeddings),
|
||||
std::to_string(no_op_offload),
|
||||
std::to_string(n_prompt),
|
||||
std::to_string(n_gen),
|
||||
std::to_string(n_depth),
|
||||
@ -1404,6 +1426,9 @@ struct markdown_printer : public printer {
|
||||
if (field == "test") {
|
||||
return 15;
|
||||
}
|
||||
if (field == "no_op_offload") {
|
||||
return 4;
|
||||
}
|
||||
|
||||
int width = std::max((int) field.length(), 10);
|
||||
|
||||
@ -1435,6 +1460,9 @@ struct markdown_printer : public printer {
|
||||
if (field == "embeddings") {
|
||||
return "embd";
|
||||
}
|
||||
if (field == "no_op_offload") {
|
||||
return "nopo";
|
||||
}
|
||||
if (field == "tensor_split") {
|
||||
return "ts";
|
||||
}
|
||||
@ -1503,6 +1531,9 @@ struct markdown_printer : public printer {
|
||||
if (params.embeddings.size() > 1 || params.embeddings != cmd_params_defaults.embeddings) {
|
||||
fields.emplace_back("embeddings");
|
||||
}
|
||||
if (params.no_op_offload.size() > 1 || params.no_op_offload != cmd_params_defaults.no_op_offload) {
|
||||
fields.emplace_back("no_op_offload");
|
||||
}
|
||||
fields.emplace_back("test");
|
||||
fields.emplace_back("t/s");
|
||||
|
||||
|
Reference in New Issue
Block a user