File size: 6,211 Bytes
4b9fefd | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 | #include "tokenizer.h"
#include <array>
#include <cstdint>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <fstream>
#include <memory>
#include <sstream>
#include <unistd.h>
bool Tokenizer::load(const std::string& vocab_bin_path) {
std::ifstream f(vocab_bin_path, std::ios::binary);
if (!f) {
fprintf(stderr, "Tokenizer: cannot open %s\n", vocab_bin_path.c_str());
return false;
}
uint32_t num;
f.read((char*)&num, 4);
if (!f) return false;
id_to_bytes_.resize(num);
for (uint32_t i = 0; i < num; i++) {
uint32_t len;
f.read((char*)&len, 4);
if (!f) return false;
id_to_bytes_[i].resize(len);
if (len > 0) f.read(id_to_bytes_[i].data(), len);
}
return true;
}
std::string Tokenizer::decode(int id) const {
if (id < 0 || (size_t)id >= id_to_bytes_.size()) return "";
return id_to_bytes_[id];
}
std::string Tokenizer::decode(const std::vector<int>& ids) const {
std::string out;
for (int id : ids) out += decode(id);
return out;
}
std::vector<int> Tokenizer::encode_via_python(const std::string& model_dir,
const std::string& prompt,
bool apply_chat_template) const {
// Call python subprocess to tokenize. Embed prompt via stdin to avoid shell-escape bugs.
std::string cmd;
// Set QWEN3_PYENV_INIT to override the Python env activation sequence (e.g., "source /opt/my_env/activate && ")
// Default assumes conda at ~/miniconda3 with env 'qwen3' and Ascend toolkit installed.
if (const char* init = std::getenv("QWEN3_PYENV_INIT")) {
cmd += init;
} else {
cmd += "source ${HOME}/miniconda3/etc/profile.d/conda.sh 2>/dev/null && ";
cmd += "conda activate qwen3 2>/dev/null || true; ";
cmd += "source /usr/local/Ascend/ascend-toolkit/set_env.sh 2>/dev/null || true; ";
}
cmd += "python3 -c \"";
cmd += "import sys, json;";
cmd += "from transformers import AutoTokenizer;";
cmd += "t = AutoTokenizer.from_pretrained('" + model_dir + "');";
cmd += "p = sys.stdin.read();";
if (apply_chat_template) {
cmd += "msg = [{'role': 'user', 'content': p}];";
cmd += "ids = t.apply_chat_template(msg, add_generation_prompt=True);";
} else {
cmd += "ids = t.encode(p);";
}
cmd += "print(' '.join(str(i) for i in ids));";
cmd += "\"";
// popen with stdin: use the two-pipe dance via temp file for safety
char tmpl[] = "/tmp/lca_prompt_XXXXXX";
int fd = mkstemp(tmpl);
if (fd < 0) { perror("mkstemp"); return {}; }
write(fd, prompt.data(), prompt.size());
close(fd);
std::string full = cmd + " < " + tmpl + " 2>/dev/null";
FILE* pipe = popen(full.c_str(), "r");
if (!pipe) { perror("popen"); unlink(tmpl); return {}; }
std::string out;
char buf[4096];
while (size_t n = fread(buf, 1, sizeof(buf), pipe)) out.append(buf, n);
pclose(pipe);
unlink(tmpl);
std::vector<int> ids;
std::istringstream iss(out);
int x;
while (iss >> x) ids.push_back(x);
return ids;
}
// Shell-quote a string for embedding in a JSON string (escape ", \, control chars).
static std::string json_escape(const std::string& s) {
std::string out;
out.reserve(s.size() + 8);
for (char c : s) {
switch (c) {
case '"': out += "\\\""; break;
case '\\': out += "\\\\"; break;
case '\n': out += "\\n"; break;
case '\r': out += "\\r"; break;
case '\t': out += "\\t"; break;
default:
if ((unsigned char)c < 0x20) {
char buf[8];
snprintf(buf, sizeof(buf), "\\u%04x", (unsigned char)c);
out += buf;
} else {
out += c;
}
}
}
return out;
}
std::vector<int> Tokenizer::encode_conversation_via_python(
const std::string& model_dir,
const std::vector<std::pair<std::string, std::string>>& conversation,
bool add_generation_prompt) const
{
// Build JSON array of messages. Pass via stdin to avoid shell-escape issues.
std::string json_msgs = "[";
for (size_t i = 0; i < conversation.size(); i++) {
if (i > 0) json_msgs += ",";
json_msgs += "{\"role\":\"" + json_escape(conversation[i].first) + "\",";
json_msgs += "\"content\":\"" + json_escape(conversation[i].second) + "\"}";
}
json_msgs += "]";
std::string cmd;
// Set QWEN3_PYENV_INIT to override the Python env activation sequence (e.g., "source /opt/my_env/activate && ")
// Default assumes conda at ~/miniconda3 with env 'qwen3' and Ascend toolkit installed.
if (const char* init = std::getenv("QWEN3_PYENV_INIT")) {
cmd += init;
} else {
cmd += "source ${HOME}/miniconda3/etc/profile.d/conda.sh 2>/dev/null && ";
cmd += "conda activate qwen3 2>/dev/null || true; ";
cmd += "source /usr/local/Ascend/ascend-toolkit/set_env.sh 2>/dev/null || true; ";
}
cmd += "python3 -c \"";
cmd += "import sys, json;";
cmd += "from transformers import AutoTokenizer;";
cmd += "t = AutoTokenizer.from_pretrained('" + model_dir + "');";
cmd += "msgs = json.loads(sys.stdin.read());";
cmd += "ids = t.apply_chat_template(msgs, add_generation_prompt=";
cmd += add_generation_prompt ? "True" : "False";
cmd += ");";
cmd += "print(' '.join(str(i) for i in ids));";
cmd += "\"";
char tmpl[] = "/tmp/lca_conv_XXXXXX";
int fd = mkstemp(tmpl);
if (fd < 0) { perror("mkstemp"); return {}; }
write(fd, json_msgs.data(), json_msgs.size());
close(fd);
std::string full = cmd + " < " + tmpl + " 2>/dev/null";
FILE* pipe = popen(full.c_str(), "r");
if (!pipe) { perror("popen"); unlink(tmpl); return {}; }
std::string out;
char buf[4096];
while (size_t n = fread(buf, 1, sizeof(buf), pipe)) out.append(buf, n);
pclose(pipe);
unlink(tmpl);
std::vector<int> ids;
std::istringstream iss(out);
int x;
while (iss >> x) ids.push_back(x);
return ids;
}
|