ikawrakow/ik_llama.cpp
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Adding gp option to llama-bench

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Similar to pg, but it only looks at TG speed with a given
prompt length.
This commit is contained in:
Iwan Kawrakow
2025-01-28 11:56:10 +02:00
parent f725576345
commit 45de9c82c4
2 changed files with 134 additions and 18 deletions
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106
examples/llama-bench/llama-bench.cpp
View File

@@ -220,6 +220,7 @@ struct cmd_params {
std::vector<int> n_prompt;
std::vector<int> n_gen;
std::vector<std::pair<int, int>> n_pg;
std::vector<std::pair<int, int>> n_gp;
std::vector<int> n_batch;
std::vector<int> n_ubatch;
std::vector<ggml_type> type_k;
@@ -248,6 +249,7 @@ static const cmd_params cmd_params_defaults = {
/* n_prompt */ {512},
/* n_gen */ {128},
/* n_pg */ {},
/* n_gp */ {},
/* n_batch */ {2048},
/* n_ubatch */ {512},
/* type_k */ {GGML_TYPE_F16},
@@ -280,6 +282,7 @@ static void print_usage(int /* argc */, char ** argv) {
printf(" -p, --n-prompt <n> (default: %s)\n", join(cmd_params_defaults.n_prompt, ",").c_str());
printf(" -n, --n-gen <n> (default: %s)\n", join(cmd_params_defaults.n_gen, ",").c_str());
printf(" -pg <pp,tg> (default: %s)\n", join(transform_to_str(cmd_params_defaults.n_pg, pair_str), ",").c_str());
printf(" -gp <pp,tg> (default: %s)\n", join(transform_to_str(cmd_params_defaults.n_gp, pair_str), ",").c_str());
printf(" -b, --batch-size <n> (default: %s)\n", join(cmd_params_defaults.n_batch, ",").c_str());
printf(" -ub, --ubatch-size <n> (default: %s)\n", join(cmd_params_defaults.n_ubatch, ",").c_str());
printf(" -ctk, --cache-type-k <t> (default: %s)\n", join(transform_to_str(cmd_params_defaults.type_k, ggml_type_name), ",").c_str());
@@ -393,6 +396,17 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
break;
}
params.n_pg.push_back({std::stoi(p[0]), std::stoi(p[1])});
} else if (arg == "-gp") {
if (++i >= argc) {
invalid_param = true;
break;
}
auto p = string_split<std::string>(argv[i], ',');
if (p.size() != 2) {
invalid_param = true;
break;
}
params.n_gp.push_back({ std::stoi(p[0]), std::stoi(p[1]) });
} else if (arg == "-b" || arg == "--batch-size") {
if (++i >= argc) {
invalid_param = true;
@@ -596,6 +610,7 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
if (params.n_prompt.empty()) { params.n_prompt = cmd_params_defaults.n_prompt; }
if (params.n_gen.empty()) { params.n_gen = cmd_params_defaults.n_gen; }
if (params.n_pg.empty()) { params.n_pg = cmd_params_defaults.n_pg; }
if (params.n_gp.empty()) { params.n_gp = cmd_params_defaults.n_gp; }
if (params.n_batch.empty()) { params.n_batch = cmd_params_defaults.n_batch; }
if (params.n_ubatch.empty()) { params.n_ubatch = cmd_params_defaults.n_ubatch; }
if (params.type_k.empty()) { params.type_k = cmd_params_defaults.type_k; }
@@ -614,7 +629,19 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
return params;
}
enum test_kind_type {
// measure mean prompt processing rate without token generation
TEST_KIND_PP,
// measure mean token generation rate without prompt processing
TEST_KIND_TG,
// measure mean prompt processing and token generation rate
TEST_KIND_PG,
// measure mean token generation rate after processing prompt of given length
TEST_KIND_GP,
};
struct cmd_params_instance {
test_kind_type test_kind;
std::string model;
int n_prompt;
int n_gen;
@@ -701,6 +728,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
continue;
}
cmd_params_instance instance = {
/* .test_kind = */ TEST_KIND_PP,
/* .model = */ m,
/* .n_prompt = */ n_prompt,
/* .n_gen = */ 0,
@@ -728,6 +756,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
continue;
}
cmd_params_instance instance = {
/* .test_kind = */ TEST_KIND_PP,
/* .model = */ m,
/* .n_prompt = */ 0,
/* .n_gen = */ n_gen,
@@ -755,6 +784,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
continue;
}
cmd_params_instance instance = {
/* .test_kind = */ TEST_KIND_PP,
/* .model = */ m,
/* .n_prompt = */ n_pg.first,
/* .n_gen = */ n_pg.second,
@@ -776,6 +806,34 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
};
instances.push_back(instance);
}
for (const auto & n_gp : params.n_gp) {
if (n_gp.first == 0 && n_gp.second == 0) {
continue;
}
cmd_params_instance instance = {
/* .test_kind = */ TEST_KIND_GP,
/* .model = */ m,
/* .n_prompt = */ n_gp.first,
/* .n_gen = */ n_gp.second,
/* .n_batch = */ nb,
/* .n_ubatch = */ nub,
/* .type_k = */ tk,
/* .type_v = */ tv,
/* .n_threads = */ nt,
/* .n_gpu_layers = */ nl,
/* .rpc_servers = */ rpc,
/* .split_mode = */ sm,
/* .main_gpu = */ mg,
/* .no_kv_offload= */ nkvo,
/* .flash_attn = */ fa,
/* .tensor_split = */ ts,
/* .use_mmap = */ mmp,
/* .embeddings = */ embd,
/* .repack = */ params.repack,
};
instances.push_back(instance);
}
}
return instances;
@@ -816,6 +874,8 @@ struct test {
int n_gen;
std::string test_time;
std::vector<uint64_t> samples_ns;
test_kind_type test_kind;
std::string test_label;
test(const cmd_params_instance & inst, const llama_model * lmodel, const llama_context * ctx) {
model_filename = inst.model;
@@ -841,11 +901,32 @@ struct test {
repack = inst.repack;
n_prompt = inst.n_prompt;
n_gen = inst.n_gen;
test_kind = inst.test_kind;
// RFC 3339 date-time format
time_t t = time(NULL);
std::strftime(buf, sizeof(buf), "%FT%TZ", gmtime(&t));
test_time = buf;
// prepare test label for printing
switch (test_kind) {
case TEST_KIND_PP:
snprintf(buf, sizeof(buf), "pp%d", n_prompt);
break;
case TEST_KIND_TG:
snprintf(buf, sizeof(buf), "tg%d", n_gen);
break;
case TEST_KIND_PG:
snprintf(buf, sizeof(buf), "pp%d+tg%d", n_prompt, n_gen);
break;
case TEST_KIND_GP:
snprintf(buf, sizeof(buf), "tg%d@pp%d", n_gen, n_prompt);
break;
default:
snprintf(buf, sizeof(buf), "unknown");
break;
}
test_label = buf;
(void) ctx;
}
@@ -858,7 +939,7 @@ struct test {
}
std::vector<double> get_ts() const {
int n_tokens = n_prompt + n_gen;
int n_tokens = (test_kind == TEST_KIND_GP ? 0 : n_prompt) + n_gen;
std::vector<double> ts;
std::transform(samples_ns.begin(), samples_ns.end(), std::back_inserter(ts), [n_tokens](uint64_t t) { return 1e9 * n_tokens / t; });
return ts;
@@ -911,7 +992,7 @@ struct test {
"tensor_split", "use_mmap", "embeddings", "repack",
"n_prompt", "n_gen", "test_time",
"avg_ns", "stddev_ns",
"avg_ts", "stddev_ts"
"avg_ts", "stddev_ts", "test",
};
return fields;
}
@@ -967,7 +1048,8 @@ struct test {
tensor_split_str, std::to_string(use_mmap), std::to_string(embeddings), std::to_string(repack),
std::to_string(n_prompt), std::to_string(n_gen), test_time,
std::to_string(avg_ns()), std::to_string(stdev_ns()),
std::to_string(avg_ts()), std::to_string(stdev_ts())
std::to_string(avg_ts()), std::to_string(stdev_ts()),
test_label
};
return values;
}
@@ -1269,14 +1351,15 @@ struct markdown_printer : public printer {
value += "+RPC";
}
} else if (field == "test") {
if (t.n_prompt > 0 && t.n_gen == 0) {
snprintf(buf, sizeof(buf), "pp%d", t.n_prompt);
} else if (t.n_gen > 0 && t.n_prompt == 0) {
snprintf(buf, sizeof(buf), "tg%d", t.n_gen);
} else {
snprintf(buf, sizeof(buf), "pp%d+tg%d", t.n_prompt, t.n_gen);
}
value = buf;
//if (t.n_prompt > 0 && t.n_gen == 0) {
// snprintf(buf, sizeof(buf), "pp%d", t.n_prompt);
//} else if (t.n_gen > 0 && t.n_prompt == 0) {
// snprintf(buf, sizeof(buf), "tg%d", t.n_gen);
//} else {
// snprintf(buf, sizeof(buf), "pp%d+tg%d", t.n_prompt, t.n_gen);
//}
//value = buf;
value = t.test_label;
} else if (field == "t/s") {
snprintf(buf, sizeof(buf), "%.2f ± %.2f", t.avg_ts(), t.stdev_ts());
value = buf;
@@ -1489,6 +1572,7 @@ int main(int argc, char ** argv) {
if (t.n_prompt > 0) {
test_prompt(ctx, t.n_prompt, 0, t.n_batch, t.n_threads);
}
if (t.test_kind == TEST_KIND_GP) t_start = get_time_ns();
if (t.n_gen > 0) {
test_gen(ctx, t.n_gen, t.n_prompt, t.n_threads);
}

46
ggml/src/iqk/iqk_mul_mat.cpp
View File

@@ -111,6 +111,15 @@ struct Perf {
#define IQK_ALWAYS_INLINE __attribute__((__always_inline__))
#endif
#if defined __x86_64__
#if defined HAVE_FANCY_SIMD
#undef HAVE_FANCY_SIMD
#endif
#if defined(__AVX512F__) && defined(__AVX512VNNI__) && defined(__AVX512VL__) && defined(__AVX512BW__) && defined(__AVX512DQ__)
#define HAVE_FANCY_SIMD
#endif
#endif
namespace {
typedef struct {
@@ -236,6 +245,35 @@ struct MulMat {
}
static bool prepare(int typeA, int typeB, int ne00, MulMat& mm, int Ny);
static inline int num_rows(ggml_type type) {
#ifdef HAVE_FANCY_SIMD
switch (type) {
case GGML_TYPE_Q2_K_R4:
case GGML_TYPE_Q3_K_R4:
case GGML_TYPE_Q6_K_R4:
case GGML_TYPE_IQ2_K_R4:
case GGML_TYPE_IQ3_K_R4:
case GGML_TYPE_IQ4_K_R4:
case GGML_TYPE_IQ5_K_R4:
case GGML_TYPE_IQ4_KS_R4:
case GGML_TYPE_IQ2_XXS_R4:
case GGML_TYPE_IQ2_XS_R4:
case GGML_TYPE_IQ2_S_R4:
case GGML_TYPE_IQ3_XXS_R4:
case GGML_TYPE_IQ3_S_R4: return 4;
case GGML_TYPE_IQ4_NL_R4:
case GGML_TYPE_Q5_0_R4:
case GGML_TYPE_Q6_0_R4:
case GGML_TYPE_IQ2_BN_R4:
case GGML_TYPE_IQ4_XS_R4:
case GGML_TYPE_Q4_K_R4:
case GGML_TYPE_Q5_K_R4:
case GGML_TYPE_Q8_K_R8: return 8;
case GGML_TYPE_Q4_0_R4:
case GGML_TYPE_Q8_0_R4:
case GGML_TYPE_BF16_R16: return 16;
default: return 1;
}
#else
switch (type) {
case GGML_TYPE_Q2_K_R4:
case GGML_TYPE_Q3_K_R4:
@@ -263,6 +301,7 @@ struct MulMat {
case GGML_TYPE_BF16_R16: return 16;
default: return 1;
}
#endif
}
private:
template <typename Dequantizer> static void set_functions(MulMat& m);
@@ -377,13 +416,6 @@ const uint64_t keven_signs[128] = {
#if defined __x86_64__
#if defined HAVE_FANCY_SIMD
#undef HAVE_FANCY_SIMD
#endif
#if defined(__AVX512F__) && defined(__AVX512VNNI__) && defined(__AVX512VL__) && defined(__AVX512BW__) && defined(__AVX512DQ__)
#define HAVE_FANCY_SIMD
#endif
namespace {
inline float hsum_float_4(__m128 x) {