wehub-resource-sync
101 lines
3.1 KiB
Python
101 lines
3.1 KiB
Python
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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import os
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import sys
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import unittest
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from unittest import skip
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from parameterized import parameterized_class
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from tests.llm.testing_utils import LLMTest
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from tests.testing_utils import argv_context_guard, load_test_config
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@parameterized_class(
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["model_dir"],
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[["llama"]],
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)
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class FinetuneTest(LLMTest, unittest.TestCase):
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config_path: str = "./tests/fixtures/llm/ptq.yaml"
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model_dir: str = None
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def setUp(self) -> None:
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LLMTest.setUp(self)
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sys.path.insert(0, self.model_dir)
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def tearDown(self) -> None:
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LLMTest.tearDown(self)
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def test_ptq(self):
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finetune_config = load_test_config(self.config_path, "ptq", self.model_dir)
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finetune_config["dataset_name_or_path"] = self.data_dir
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finetune_config["output_dir"] = self.output_dir
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with argv_context_guard(finetune_config):
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from run_quantization import main
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main()
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self.run_predictor({"inference_model": True})
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def test_blha(self):
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finetune_config = load_test_config(self.config_path, "ptq", self.model_dir)
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finetune_config["dataset_name_or_path"] = self.data_dir
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finetune_config["output_dir"] = self.output_dir
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with argv_context_guard(finetune_config):
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from run_quantization import main
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main()
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self.run_predictor({"inference_model": True, "block_attn": True})
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@skip("Skip and wait to fix.")
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def test_ptq_smooth(self):
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finetune_config = load_test_config(self.config_path, "ptq", self.model_dir)
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finetune_config["dataset_name_or_path"] = self.data_dir
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finetune_config["output_dir"] = self.output_dir
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finetune_config["smooth"] = True
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with argv_context_guard(finetune_config):
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from run_quantization import main
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main()
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self.run_predictor({"inference_model": True})
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self._read_result(os.path.join(self.output_dir, "predict.json"))
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@skip("Skip and wait to fix.")
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def test_ptq_shift(self):
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finetune_config = load_test_config(self.config_path, "ptq", self.model_dir)
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finetune_config["dataset_name_or_path"] = self.data_dir
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finetune_config["output_dir"] = self.output_dir
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finetune_config["shift"] = True
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with argv_context_guard(finetune_config):
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from run_quantization import main
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main()
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self.run_predictor({"inference_model": True})
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# TODO(@wufeisheng): add test_ptq_shift_smooth_all_linear
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