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

83 lines
2.5 KiB
Python

# Copyright (c) 2023 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 os
import sys
import unittest
import paddle
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"],
["chatglm"],
["chatglm2"],
["bloom"],
["qwen"],
["baichuan"],
],
)
class DisLoRATest(LLMTest, unittest.TestCase):
config_path: str = "./tests/fixtures/llm/dislora.yaml"
model_dir: str = None
def setUp(self) -> None:
LLMTest.setUp(self)
self.model_codes_dir = os.path.join(self.root_path, self.model_dir)
sys.path.insert(0, self.model_codes_dir)
def tearDown(self) -> None:
LLMTest.tearDown(self)
sys.path.remove(self.model_codes_dir)
def test_dislora(self):
self.disable_static()
paddle.set_default_dtype("float32")
dislora_config = load_test_config(self.config_path, "dislora", self.model_dir)
dislora_config["output_dir"] = self.output_dir
dislora_config["dataset_name_or_path"] = self.data_dir
with argv_context_guard(dislora_config):
from run_finetune import main
main()
# merge weights
merge_dislora_weights_config = {
"dislora_path": dislora_config["output_dir"],
"merge_dislora_model_path": dislora_config["output_dir"],
"device": "gpu",
"low_gpu_mem": True,
}
with argv_context_guard(merge_dislora_weights_config):
from tools.merge_dislora_params import merge
merge()
# # TODO(wj-Mcat): disable chatglm2 test temporarily
# if self.model_dir not in ["qwen", "baichuan", "chatglm2"]:
# self.run_predictor({"inference_model": True})
self.run_predictor({"inference_model": False})