wehub-resource-sync
117 lines
4.5 KiB
Python
117 lines
4.5 KiB
Python
# Copyright (c) 2024 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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import os
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import unittest
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from tempfile import TemporaryDirectory
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from parameterized import parameterized
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from paddlenlp.mergekit import MergeConfig, MergeModel
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from paddlenlp.transformers import AutoModel
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class TestMergeModel(unittest.TestCase):
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@parameterized.expand([("slerp",), ("della",), ("dare_linear",), ("ties",)])
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def test_merge_model_np(self, merge_method):
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with TemporaryDirectory() as tempdir:
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model = AutoModel.from_pretrained("__internal_testing__/tiny-random-bert", dtype="bfloat16")
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pd_path = os.path.join(tempdir, "pd_model")
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model.save_pretrained(pd_path)
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safe_path = os.path.join(tempdir, "safe_model")
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model.save_pretrained(safe_path, safe_serialization="safetensors")
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# test mix
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merge_config = MergeConfig(
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merge_method=merge_method, model_path_list=[safe_path, pd_path], output_path=tempdir
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)
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mergekit = MergeModel(merge_config)
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mergekit.merge_model()
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# test mix with base model
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merge_config = MergeConfig(
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merge_method=merge_method,
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model_path_list=[safe_path, pd_path],
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output_path=tempdir,
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base_model_path=safe_path,
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)
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mergekit = MergeModel(merge_config)
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mergekit.merge_model()
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# test safetensor only
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merge_config = MergeConfig(
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merge_method=merge_method, model_path_list=[safe_path, safe_path], output_path=tempdir, n_process=2
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)
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mergekit = MergeModel(merge_config)
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mergekit.merge_model()
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# test safetensor only with base model
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merge_config = MergeConfig(
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merge_method=merge_method,
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model_path_list=[safe_path, safe_path],
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output_path=tempdir,
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n_process=2,
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base_model_path=safe_path,
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)
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mergekit = MergeModel(merge_config)
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mergekit.merge_model()
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@parameterized.expand([("slerp",), ("della",), ("dare_linear",), ("ties",)])
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def test_merge_model_pd(self, merge_method):
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with TemporaryDirectory() as tempdir:
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model = AutoModel.from_pretrained("__internal_testing__/tiny-random-bert", dtype="bfloat16")
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pd_path = os.path.join(tempdir, "pd_model")
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model.save_pretrained(pd_path)
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safe_path = os.path.join(tempdir, "safe_model")
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model.save_pretrained(safe_path, safe_serialization="safetensors")
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# test mix
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merge_config = MergeConfig(
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merge_method=merge_method, model_path_list=[safe_path, pd_path], output_path=tempdir, tensor_type="pd"
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)
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mergekit = MergeModel(merge_config)
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mergekit.merge_model()
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# test mix with base model
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merge_config = MergeConfig(
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merge_method=merge_method,
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model_path_list=[safe_path, pd_path],
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output_path=tempdir,
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base_model_path=safe_path,
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tensor_type="pd",
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)
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mergekit = MergeModel(merge_config)
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mergekit.merge_model()
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# test safetensor only
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merge_config = MergeConfig(
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merge_method=merge_method,
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model_path_list=[safe_path, safe_path],
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output_path=tempdir,
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tensor_type="pd",
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)
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mergekit = MergeModel(merge_config)
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mergekit.merge_model()
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# test safetensor only with base model
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merge_config = MergeConfig(
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merge_method=merge_method,
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model_path_list=[safe_path, safe_path],
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output_path=tempdir,
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tensor_type="pd",
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base_model_path=safe_path,
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)
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mergekit = MergeModel(merge_config)
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mergekit.merge_model()
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