delete the configurator in favor of argparse and clean up a lot of kwarg details to make them more consistent across all scripts

This commit is contained in:
Andrej Karpathy
2026-01-04 19:14:23 +00:00
parent 507d54224a
commit eb7bbc1b66
9 changed files with 546 additions and 450 deletions
-56
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@@ -1,56 +0,0 @@
"""
Poor Man's Configurator. Probably a terrible idea. Example usage:
$ python train.py config/override_file.py --batch_size=32
this will first run config/override_file.py, then override batch_size to 32
The code in this file will be run as follows from e.g. train.py:
>>> exec(open('configurator.py').read())
So it's not a Python module, it's just shuttling this code away from train.py
The code in this script then overrides the globals()
I know people are not going to love this, I just really dislike configuration
complexity and having to prepend config. to every single variable. If someone
comes up with a better simple Python solution I am all ears.
"""
import os
import sys
from ast import literal_eval
def print0(s="",**kwargs):
ddp_rank = int(os.environ.get('RANK', 0))
if ddp_rank == 0:
print(s, **kwargs)
for arg in sys.argv[1:]:
if '=' not in arg:
# assume it's the name of a config file
assert not arg.startswith('--')
config_file = arg
print0(f"Overriding config with {config_file}:")
with open(config_file) as f:
print0(f.read())
exec(open(config_file).read())
else:
# assume it's a --key=value argument
assert arg.startswith('--')
key, val = arg.split('=')
key = key[2:]
if key in globals():
try:
# attempt to eval it it (e.g. if bool, number, or etc)
attempt = literal_eval(val)
except (SyntaxError, ValueError):
# if that goes wrong, just use the string
attempt = val
# ensure the types match ok
if globals()[key] is not None:
attempt_type = type(attempt)
default_type = type(globals()[key])
assert attempt_type == default_type, f"Type mismatch: {attempt_type} != {default_type}"
# cross fingers
print0(f"Overriding: {key} = {attempt}")
globals()[key] = attempt
else:
raise ValueError(f"Unknown config key: {key}")
+1 -1
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@@ -167,7 +167,7 @@ def sample_next_token(logits, rng, temperature=1.0, top_k=None):
assert temperature >= 0.0, "temperature must be non-negative"
if temperature == 0.0:
return torch.argmax(logits, dim=-1, keepdim=True)
if top_k is not None:
if top_k is not None and top_k > 0:
k = min(top_k, logits.size(-1))
vals, idx = torch.topk(logits, k, dim=-1)
vals = vals / temperature