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"""
# you can run the following command to make DB2TOKCNT readable
autopep8 --in-place --aggressive --aggressive finetune/scripts/parse_mixture.py
This script is used to parse the mixture of the pretraining data
input: path to the yaml file
output: a megatron style data mixture string
"""
import os
import sys
import argparse
import yaml
import re
EXAMPLE_LOG_STRING = """Zarr-based strategies will not be registered because of missing packages
Counting tokens in ./mmap/example.bin
0%| | 0/597667 [00:00<?, ?it/s]
14%|█▍ | 83737/597667 [00:00<00:00, 837344.85it/s]
30%|██▉ | 178908/597667 [00:00<00:00, 904601.65it/s]
45%|████▌ | 269369/597667 [00:00<00:00, 883202.85it/s]
60%|█████▉ | 357748/597667 [00:00<00:00, 841687.26it/s]
74%|███████▍ | 442183/597667 [00:00<00:00, 837274.61it/s]
88%|████████▊ | 528884/597667 [00:00<00:00, 847062.60it/s]
100%|██████████| 597667/597667 [00:00<00:00, 850432.85it/s]
Total number of tokens: 806001459
"""
global DB2TOKCNT
DB2TOKCNT = {}
def get_count_logs_paths(logs_dir, pattern='count.*.log'):
return [
os.path.join(
logs_dir,
f) for f in os.listdir(logs_dir) if re.match(
pattern,
f)]
def get_tokcnt_from_log(log_path, by_billions=True):
"""
input: path to the log file
output: Tuple of (path, token_count)
"""
print(f"[INFO] Checking token count log from {log_path}")
match_path_pattern = r'Counting tokens in\s+(.*)'
match_tokcnt_pattern = r'Total number of tokens:\s+(\d+)'
with open(log_path, 'r') as f:
log = f.read()
path = re.search(match_path_pattern, log).group(1)
tokcnt = int(re.search(match_tokcnt_pattern, log).group(1))
if by_billions:
tokcnt = tokcnt / 1e9
# into string x.xxxB
tokcnt = f"{tokcnt:.3f}B"
return (path, tokcnt)
def get_tokcnts_from_logs(logs_dir, by_billions=True):
logs = get_count_logs_paths(logs_dir)
for log in logs:
db, tokcnt = get_tokcnt_from_log(log, by_billions)
DB2TOKCNT[db] = tokcnt
def parse_args():
parser = argparse.ArgumentParser(
description="parse the mixture of the pretraining data")
parser.add_argument(
"--cfg",
"-c",
type=str,
required=True,
help="path to the yaml file")
parser.add_argument(
"--reload-db2tokcnt",
"-r",
action="store_true",
help="DB2TOKCNT is currently hardcoded, reload it from the TOKEN_COUNT_LOG_DIR"
)
parser.add_argument(
"--by-billions",
"-b",
action="store_true",
help="output the tokcnt by billions")
return parser.parse_args()
def load_yaml(cfg_path):
with open(cfg_path, "r") as f:
cfg = yaml.load(f, Loader=yaml.FullLoader)
return cfg
def parse_mixture_from_cfg_deprecated(cfg):
keys = list(cfg.keys())
# find keys ends with _ROUND
rounds = [k for k in keys if k.endswith("_ROUND")]
def repeat_str(s, n):
return "".join([s for _ in range(n)])
total_tokcnt = 0
mixture_str = ""
for r in rounds:
repeat_times = float(r.replace("_ROUND", ""))
mmap_paths = sorted(set(cfg[r]))
for mmap_path in mmap_paths:
mmap_path_without_ext = os.path.splitext(mmap_path)[0]
if repeat_times >= 1:
mixture_str += repeat_str(
f"1 {mmap_path_without_ext} ", int(repeat_times))
else:
# weight is less than 1
mixture_str += f"{repeat_times} {mmap_path_without_ext} "
tokcnt = DB2TOKCNT[mmap_path]
if isinstance(tokcnt, str):
assert tokcnt.endswith("B"), f"invalid tokcnt: {tokcnt}"
tokcnt = float(tokcnt.replace("B", "")) * 10**9
total_tokcnt += tokcnt * repeat_times
else:
assert isinstance(tokcnt, int), f"invalid tokcnt: {tokcnt}"
total_tokcnt += tokcnt * repeat_times
# total iter count
total_iter = total_tokcnt / (cfg["GLOBAL_BATCH_SIZE"] * cfg["SEQ_LEN"])
# into string x.xxxB
total_tokcnt /= 1e9
total_tokcnt = f"{total_tokcnt:.3f}B"
return mixture_str, total_tokcnt, total_iter
def parse_mixture_from_cfg(cfg):
keys = list(cfg.keys())
# find keys ends with _ROUND
rounds = [k for k in keys if k.endswith("_ROUND")]
def repeat_str(s, n):
return "".join([s for _ in range(n)])
total_tokcnt = 0
mixture_str = ""
for r in rounds:
repeat_times = float(r.replace("_ROUND", ""))
mmap_paths = sorted(set(cfg[r]))
for mmap_path in mmap_paths:
mmap_path_without_ext = os.path.splitext(mmap_path)[0]
tokcnt = DB2TOKCNT[mmap_path]
if isinstance(tokcnt, str):
assert tokcnt.endswith("B"), f"invalid tokcnt: {tokcnt}"
tokcnt = float(tokcnt.replace("B", "")) * 10**9
total_tokcnt += tokcnt * repeat_times
else:
assert isinstance(tokcnt, int), f"invalid tokcnt: {tokcnt}"
total_tokcnt += tokcnt * repeat_times
mixture_str += f"{int(tokcnt * repeat_times)} {mmap_path_without_ext} "
# total iter count
total_iter = total_tokcnt / (cfg["GLOBAL_BATCH_SIZE"] * cfg["SEQ_LEN"])
# into string x.xxxB
total_tokcnt /= 1e9
total_tokcnt = f"{total_tokcnt:.3f}B"
return mixture_str, total_tokcnt, total_iter
if __name__ == "__main__":
args = parse_args()
cfg = load_yaml(args.cfg)
print(f"[INFO] Loaded cfg from {args.cfg}")
TOKEN_COUNT_LOG_DIR = cfg["TOKEN_COUNT_LOG_DIR"]
print(f"[INFO] TOKEN_COUNT_LOG_DIR: {TOKEN_COUNT_LOG_DIR}")
get_tokcnts_from_logs(TOKEN_COUNT_LOG_DIR,
by_billions=args.by_billions)
print(f"[INFO] DB2TOKCNT reloaded from the logs in {TOKEN_COUNT_LOG_DIR}\n")
mixture_str, total_tokcnt, total_iter = parse_mixture_from_cfg(cfg)
print(f"[CRITICAL] DATA_PATH **(copy to the training script)**:\n{mixture_str}\n")
print(f"[CRITICAL] TRAIN_ITERS **(copy to the training script)**:\n{total_iter}\n")
print(f"[INFO] Total token count: {total_tokcnt}")
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