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chore: import upstream snapshot with attribution
2026-07-13 13:37:14 +08:00

50 lines
1.4 KiB
Python

# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
#
# 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.
from __future__ import annotations
import sys
import unittest
from parameterized import parameterized_class
from tests.testing_utils import argv_context_guard, load_test_config
from .testing_utils import LLMTest
@parameterized_class(
["model_dir"],
[["llama"]],
)
class FinetuneTest(LLMTest, unittest.TestCase):
config_path: str = "./tests/fixtures/llm/rm_flashmask.yaml"
model_dir: str = None
def setUp(self) -> None:
LLMTest.setUp(self)
sys.path.insert(0, "./llm/alignment/rm")
def tearDown(self) -> None:
LLMTest.tearDown(self)
def test_finetune(self):
rm_config = load_test_config(self.config_path, "rm", self.model_dir)
rm_config["output_dir"] = self.output_dir
with argv_context_guard(rm_config):
from alignment.rm.run_reward import main
main()