File size: 2,766 Bytes
aa048fe | 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 | # Copyright 2025 the LlamaFactory team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import sys
from pathlib import Path
from unittest.mock import patch
from llamafactory.v1.config.arg_parser import get_args
def test_get_args_from_yaml(tmp_path: Path):
config_yaml = """
### model
model: llamafactory/tiny-random-qwen3
trust_remote_code: true
model_class: llm
kernel_config:
name: auto
include_kernels: auto # choice: null/true/false/auto/kernel_id1,kernel_id2,kernel_id3, default is null
peft_config:
name: lora
lora_rank: 0.8
quant_config: null
### data
train_dataset: llamafactory/v1-sft-demo
### training
output_dir: outputs/test_run
micro_batch_size: 1
global_batch_size: 1
cutoff_len: 2048
learning_rate: 1.0e-4
bf16: false
dist_config: null
### sample
sample_backend: hf
max_new_tokens: 128
"""
config_file = tmp_path / "config.yaml"
config_file.write_text(config_yaml, encoding="utf-8")
test_argv = ["test_args_parser.py", str(config_file)]
with patch.object(sys, "argv", test_argv):
model_args, data_args, training_args, sample_args = get_args()
assert data_args.train_dataset == "llamafactory/v1-sft-demo"
assert model_args.model == "llamafactory/tiny-random-qwen3"
assert model_args.kernel_config.name == "auto"
assert model_args.kernel_config.get("include_kernels") == "auto"
assert model_args.peft_config.name == "lora"
assert model_args.peft_config.get("lora_rank") == 0.8
assert training_args.output_dir == "outputs/test_run"
assert training_args.micro_batch_size == 1
assert training_args.global_batch_size == 1
assert training_args.learning_rate == 1.0e-4
assert training_args.bf16 is False
assert training_args.dist_config is None
assert sample_args.sample_backend == "hf"
if __name__ == "__main__":
"""
python -m tests_v1.config.test_args_parser
"""
import tempfile
with tempfile.TemporaryDirectory() as tmp_dir:
test_get_args_from_yaml(tmp_path=Path(tmp_dir))
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