mirror of
https://github.com/karpathy/nanochat.git
synced 2025-12-06 04:12:13 +00:00
Merge eecfdbf9f9 into bc1fca39f3
This commit is contained in:
commit
78d305bb05
3
.gitignore
vendored
3
.gitignore
vendored
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@ -4,4 +4,5 @@ __pycache__/
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rustbpe/target/
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dev-ignore/
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report.md
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eval_bundle/
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eval_bundle/
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logs/
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@ -38,12 +38,32 @@ class ColoredFormatter(logging.Formatter):
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def setup_default_logging():
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handler = logging.StreamHandler()
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handler.setLevel(logging.INFO)
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handler.setFormatter(ColoredFormatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s'))
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logging.basicConfig(
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level=logging.INFO,
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handlers=[handler]
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)
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def setup_file_logger(logger_name, filename, level=logging.DEBUG, formatter=None):
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clean_name = os.path.basename(filename)
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if clean_name != filename or not clean_name:
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raise ValueError(f"Invalid log filename provided: {filename}")
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if not clean_name.endswith(".log"):
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clean_name += ".log"
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logs_dir = get_logs_dir()
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path = os.path.join(logs_dir, clean_name)
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handler = logging.FileHandler(path, mode="w")
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handler.setLevel(level)
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handler.setFormatter(
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formatter
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or ColoredFormatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
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)
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logger = logging.getLogger(logger_name)
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logger.addHandler(handler)
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return path
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setup_default_logging()
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logger = logging.getLogger(__name__)
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@ -58,6 +78,38 @@ def get_base_dir():
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os.makedirs(nanochat_dir, exist_ok=True)
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return nanochat_dir
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def get_project_root():
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# locates the project root by walking upward from this file
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_PROJECT_MARKERS = ('.git', 'uv.lock')
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curr = os.path.dirname(os.path.abspath(__file__))
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while True:
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if any(os.path.exists(os.path.join(curr, m)) for m in _PROJECT_MARKERS):
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return curr
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parent = os.path.dirname(curr)
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if parent == curr: # reached filesystem root
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return None
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curr = parent
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def get_logs_dir():
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"""
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Resolves the directory where log files should be written.
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- if $LOG_DIR is set, use that.
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- else if, project root is detected, use <project_root>/logs.
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- else, fall back to <get_base_dir()>/logs
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"""
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env = os.environ.get("LOG_DIR")
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if env:
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path = os.path.abspath(env)
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os.makedirs(path, exist_ok=True)
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return path
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root = get_project_root()
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if not root:
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root = get_base_dir()
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logs = os.path.join(root, 'logs')
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os.makedirs(logs, exist_ok=True)
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return logs
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def download_file_with_lock(url, filename, postprocess_fn=None):
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"""
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Downloads a file from a URL to a local path in the base directory.
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@ -10,11 +10,14 @@ For details of how the dataset was prepared, see `repackage_data_reference.py`.
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import os
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import argparse
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import time
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import logging
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import requests
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from tqdm import tqdm
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import pyarrow.parquet as pq
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from functools import partial
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from multiprocessing import Pool
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from nanochat.common import get_base_dir
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from nanochat.common import get_base_dir, setup_file_logger
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# -----------------------------------------------------------------------------
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# The specifics of the current pretraining dataset
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@ -27,6 +30,19 @@ base_dir = get_base_dir()
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DATA_DIR = os.path.join(base_dir, "base_data")
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os.makedirs(DATA_DIR, exist_ok=True)
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# -----------------------------------------------------------------------------
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# Minimal logger setup for DEBUG level
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logger = logging.getLogger(__name__)
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logger.setLevel(logging.DEBUG)
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log_path = setup_file_logger(
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logger_name=__name__,
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filename="dataset_download.log",
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level=logging.DEBUG,
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formatter=logging.Formatter(
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"%(asctime)s - %(processName)s - %(levelname)s - %(message)s"
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),
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)
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# -----------------------------------------------------------------------------
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# These functions are useful utilities to other modules, can/should be imported
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@ -64,12 +80,12 @@ def download_single_file(index):
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filename = index_to_filename(index)
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filepath = os.path.join(DATA_DIR, filename)
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if os.path.exists(filepath):
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print(f"Skipping {filepath} (already exists)")
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logger.debug(f"Skipping {filepath} (already exists)")
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return True
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# Construct the remote URL for this file
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url = f"{BASE_URL}/{filename}"
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print(f"Downloading {filename}...")
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logger.debug(f"Downloading {filename}...")
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# Download with retries
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max_attempts = 5
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@ -85,11 +101,11 @@ def download_single_file(index):
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f.write(chunk)
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# Move temp file to final location
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os.rename(temp_path, filepath)
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print(f"Successfully downloaded {filename}")
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logger.debug(f"Successfully downloaded {filename}")
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return True
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except (requests.RequestException, IOError) as e:
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print(f"Attempt {attempt}/{max_attempts} failed for {filename}: {e}")
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logger.warning(f"Attempt {attempt}/{max_attempts} failed for {filename}: {e}")
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# Clean up any partial files
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for path in [filepath + f".tmp", filepath]:
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if os.path.exists(path):
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@ -100,10 +116,10 @@ def download_single_file(index):
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# Try a few times with exponential backoff: 2^attempt seconds
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if attempt < max_attempts:
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wait_time = 2 ** attempt
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print(f"Waiting {wait_time} seconds before retry...")
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logger.debug(f"Waiting {wait_time} seconds before retry...")
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time.sleep(wait_time)
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else:
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print(f"Failed to download {filename} after {max_attempts} attempts")
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logger.debug(f"Failed to download {filename} after {max_attempts} attempts")
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return False
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return False
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@ -113,16 +129,37 @@ if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Download FineWeb-Edu 100BT dataset shards")
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parser.add_argument("-n", "--num-files", type=int, default=-1, help="Number of shards to download (default: -1), -1 = disable")
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parser.add_argument("-w", "--num-workers", type=int, default=4, help="Number of parallel download workers (default: 4)")
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parser.add_argument(
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"-f",
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"--work-share-factor",
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type=int,
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default=8,
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help=(
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"""Controls how each worker's share of shards is subdivided. CHUNK_SIZE is computed as len(ids_to_download) // (num_workers * work_share_factor), so CHUNK_SIZE is the number of tasks a worker pulls per request from the main process. for example, for 240 shards and 4 workers the default value (8) produces 7 shards per request. setting it 1 gives a worker its entire share (~60 shards) in one go with minimal coordination but slow progress updates. larger work-share-factor values make the main process hand out smaller batches more often for faster feedback at a small scheduling cost."""
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),
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)
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args = parser.parse_args()
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num = MAX_SHARD + 1 if args.num_files == -1 else min(args.num_files, MAX_SHARD + 1)
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ids_to_download = list(range(num))
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print(f"Downloading {len(ids_to_download)} shards using {args.num_workers} workers...")
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print(f"Target directory: {DATA_DIR}")
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print()
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logger.info(f"Downloading {len(ids_to_download)} shards using {args.num_workers} workers...")
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logger.info(f"Dataset target directory: {DATA_DIR}")
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logger.info(f"Dataset downloader debug logs will be written to: {log_path}")
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# pool.imap_unordered pulls `chunksize` tasks from the main process before asking for more
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work_share_factor = max(1, args.work_share_factor)
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CHUNK_SIZE = max(1, len(ids_to_download) // (args.num_workers * work_share_factor))
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ok_count = 0
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with Pool(processes=args.num_workers) as pool:
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results = pool.map(download_single_file, ids_to_download)
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for ok in tqdm(
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pool.imap_unordered(
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partial(download_single_file), ids_to_download, chunksize=CHUNK_SIZE
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),
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total=len(ids_to_download),
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desc="all shards",
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smoothing=0.1,
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):
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ok_count += int(ok)
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# Report results
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successful = sum(1 for success in results if success)
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print(f"Done! Downloaded: {successful}/{len(ids_to_download)} shards to {DATA_DIR}")
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logger.info(f"Done! Downloaded: {ok_count}/{len(ids_to_download)} shards to {DATA_DIR}")
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@ -16,6 +16,7 @@ dependencies = [
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"torch>=2.8.0",
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"uvicorn>=0.36.0",
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"wandb>=0.21.3",
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"tqdm>=4.66.0"
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]
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[build-system]
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