File size: 4,637 Bytes
2517be1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 | #include "arg.h"
#include "common.h"
#include "log.h"
#include "llama.h"
#include "../src/llama-ext.h"
#include "ggml.h"
#include <array>
#include <vector>
#include <set>
#include <fstream>
#include <iostream>
struct input_tensor {
ggml_type type;
std::array<int64_t, 4> ne;
std::array<size_t, 4> nb;
input_tensor(ggml_type type, int64_t * ne, size_t * nb): type(type) {
memcpy(this->ne.data(), ne, 4 * sizeof(int64_t));
memcpy(this->nb.data(), nb, 4 * sizeof(size_t));
}
bool operator<(const input_tensor &b) const {
return std::tie(type, ne, nb) <
std::tie(b.type, b.ne, b.nb);
}
void serialize(std::ostream& out) const {
out << type << ' ';
for (size_t i = 0; i < 4; i++) {
out << ne[i] << ' ';
}
for (size_t i = 0; i < 4; i++) {
out << nb[i] << ' ';
}
}
};
struct test_object {
ggml_op op;
ggml_type type;
std::array<int64_t, 4> ne;
std::vector<int32_t> op_params;
std::vector<input_tensor> sources;
std::string name;
void serialize(std::ostream& out) const {
out << op << ' ' << type << ' ';
for (size_t i = 0; i < 4; i++) {
out << ne[i] << ' ';
}
out << op_params.size() << ' ';
for (size_t i = 0; i < op_params.size(); i++) {
out << op_params[i] << ' ';
}
out << sources.size() << ' ';
for (size_t s = 0; s < sources.size(); s++) {
sources[s].serialize(out);
}
if (!name.empty()) {
out << name;
} else {
out << '-';
}
out << '\n';
}
bool operator<(const test_object &b) const {
return std::tie(op, type, ne, op_params, sources) <
std::tie(b.op, b.type, b.ne, b.op_params, b.sources);
}
};
static void extract_graph_ops(ggml_cgraph * cgraph, const char * label, std::set<test_object> & tests) {
int n_nodes = ggml_graph_n_nodes(cgraph);
int n_skipped = 0;
int n_before = (int) tests.size();
for (int i = 0; i < n_nodes; i++) {
ggml_tensor * node = ggml_graph_node(cgraph, i);
if (node->op == GGML_OP_NONE || node->op == GGML_OP_VIEW || node->op == GGML_OP_RESHAPE || node->op == GGML_OP_PERMUTE || node->op == GGML_OP_TRANSPOSE) {
n_skipped++;
continue;
}
test_object test;
test.op = node->op;
test.type = node->type;
memcpy(&test.ne, node->ne, 4 * sizeof(int64_t));
test.op_params.resize(GGML_MAX_OP_PARAMS / sizeof(int32_t));
memcpy(test.op_params.data(), node->op_params, GGML_MAX_OP_PARAMS);
for (size_t s = 0; s < GGML_MAX_SRC; s++) {
if (node->src[s] == nullptr) {
break;
}
test.sources.emplace_back(node->src[s]->type, node->src[s]->ne, node->src[s]->nb);
}
test.name = node->name;
tests.insert(test);
}
int n_new = (int) tests.size() - n_before;
LOG_INF("%s: %d unique ops, %d total nodes, %d skipped (view ops)\n",
label, n_new, n_nodes, n_skipped);
}
int main(int argc, char ** argv) {
common_params params;
params.out_file = "tests.txt";
if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_EXPORT_GRAPH_OPS)) {
return 1;
}
common_init();
// Load CPU-only
ggml_backend_dev_t cpu_device = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
params.devices = { cpu_device, nullptr };
params.fit_params = false;
params.n_gpu_layers = 0;
params.warmup = false;
auto init_result = common_init_from_params(params);
llama_context * ctx = init_result->context();
const uint32_t n_seqs = llama_n_seq_max(ctx);
const uint32_t n_tokens = std::min(llama_n_ctx(ctx), llama_n_ubatch(ctx));
std::set<test_object> tests;
auto * gf_pp = llama_graph_reserve(ctx, n_tokens, n_seqs, n_tokens);
if (!gf_pp) {
throw std::runtime_error("failed to reserve prompt processing graph");
}
extract_graph_ops(gf_pp, "pp", tests);
auto * gf_tg = llama_graph_reserve(ctx, n_seqs, n_seqs, n_seqs);
if (!gf_tg) {
throw std::runtime_error("failed to reserve token generation graph");
}
extract_graph_ops(gf_tg, "tg", tests);
LOG_INF("%d unique ops total\n", (int) tests.size());
std::ofstream f(params.out_file);
if (!f.is_open()) {
throw std::runtime_error("Unable to open output file");
}
for (const auto& test : tests) {
test.serialize(f);
}
return 0;
}
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