# Copyright (c) 2022 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"], @skip("Skip and wait to fix.") ["qwen"], # ["baichuan"], @skip("Skip and wait to fix.") ], ) class VeraTest(LLMTest, unittest.TestCase): config_path: str = "./tests/fixtures/llm/vera.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_vera(self): self.disable_static() paddle.set_default_dtype("float32") vera_config = load_test_config(self.config_path, "vera", self.model_dir) vera_config["output_dir"] = self.output_dir vera_config["dataset_name_or_path"] = self.data_dir with argv_context_guard(vera_config): from run_finetune import main main() # merge weights merge_vera_weights_config = { "vera_path": vera_config["output_dir"], "merge_vera_model_path": vera_config["output_dir"], "device": "gpu", "low_gpu_mem": True, } with argv_context_guard(merge_vera_weights_config): from tools.merge_vera_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})