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import sys
from contextlib import redirect_stdout
from io import StringIO
from unittest import mock
import pytest
from packaging.version import Version
from litgpt.__main__ import main
def test_cli():
out = StringIO()
with pytest.raises(SystemExit), redirect_stdout(out), mock.patch("sys.argv", ["litgpt", "-h"]):
main()
out = out.getvalue()
assert "usage: litgpt" in out
assert (
"{download,chat,finetune,finetune_lora,finetune_full,finetune_adapter,finetune_adapter_v2,"
"pretrain,generate,generate_full,generate_adapter,generate_adapter_v2,generate_sequentially,"
"generate_speculatively,generate_tp,convert_to_litgpt,convert_from_litgpt,convert_pretrained_checkpoint,"
"merge_lora,evaluate,serve}" in out
)
assert (
"""Available subcommands:
download Download weights or tokenizer data from the Hugging
Face Hub.
chat Chat with a model."""
in out
)
assert """evaluate Evaluate a model with the LM Evaluation Harness.""" in out
assert """serve Serve a LitGPT model using LitServe.""" in out
out = StringIO()
with pytest.raises(SystemExit), redirect_stdout(out), mock.patch("sys.argv", ["litgpt", "finetune_lora", "-h"]):
main()
out = out.getvalue()
assert (
"""--lora_alpha LORA_ALPHA
The LoRA alpha. (type: int, default: 16)"""
in out
)
if Version(f"{sys.version_info.major}.{sys.version_info.minor}") < Version("3.9"):
# python 3.8 prints `Union[int, null]` instead of `Optional[int]`
return
out = StringIO()
with pytest.raises(SystemExit), redirect_stdout(out), mock.patch("sys.argv", ["litgpt", "pretrain", "-h"]):
main()
out = out.getvalue()
print(out)
assert (
"""--train.max_tokens MAX_TOKENS
Total number of tokens to train on (type:
Optional[int], default: 3000000000000)"""
in out
)
def test_rewrite_finetune_command():
out1 = StringIO()
with pytest.raises(SystemExit), redirect_stdout(out1), mock.patch("sys.argv", ["litgpt", "fineune", "-h"]):
main()
out2 = StringIO()
with pytest.raises(SystemExit), redirect_stdout(out2), mock.patch("sys.argv", ["litgpt", "fineune_lora", "-h"]):
main()
assert out1.getvalue() == out2.getvalue()
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