wehub-resource-sync
92 lines
5.0 KiB
Python
92 lines
5.0 KiB
Python
# Copyright (c) 2023 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 unittest
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from paddlenlp.transformers import AutoConfig, BertConfig, CLIPConfig, T5Config
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from paddlenlp.utils.log import logger
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from tests.testing_utils import slow
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@unittest.skip("skipping due to connection error!")
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class ConfigLoadTester(unittest.TestCase):
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@slow
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def test_bert_config_load(self):
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logger.info("Download Bert Config from PaddleNLP BOS")
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bert_config = BertConfig.from_pretrained("bert-base-uncased", from_hf_hub=False)
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bert_config = AutoConfig.from_pretrained("bert-base-uncased", from_hf_hub=False)
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logger.info("Download config from local")
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bert_config.save_pretrained("./paddlenlp-test-config/bert-base-uncased")
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bert_config = BertConfig.from_pretrained("./paddlenlp-test-config/bert-base-uncased")
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bert_config = AutoConfig.from_pretrained("./paddlenlp-test-config/bert-base-uncased")
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logger.info("Download config from local with subfolder")
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bert_config = BertConfig.from_pretrained("./paddlenlp-test-config", subfolder="bert-base-uncased")
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bert_config = AutoConfig.from_pretrained("./paddlenlp-test-config", subfolder="bert-base-uncased")
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logger.info("Download Bert Config from PaddleNLP BOS with subfolder")
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bert_config = BertConfig.from_pretrained(
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"baicai/paddlenlp-test-model", subfolder="bert-base-uncased", from_hf_hub=False
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)
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bert_config = AutoConfig.from_pretrained(
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"baicai/paddlenlp-test-model", subfolder="bert-base-uncased", from_hf_hub=False
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)
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logger.info("Download Bert Config from aistudio")
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bert_config = BertConfig.from_pretrained("aistudio/bert-base-uncased", from_aistudio=True)
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bert_config = AutoConfig.from_pretrained("aistudio/bert-base-uncased", from_aistudio=True)
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@slow
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def test_clip_config_load(self):
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logger.info("Download CLIP Config from PaddleNLP BOS")
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clip_config = CLIPConfig.from_pretrained("openai/clip-vit-base-patch32", from_hf_hub=False)
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clip_config = AutoConfig.from_pretrained("openai/clip-vit-base-patch32", from_hf_hub=False)
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logger.info("Download CLIP Config from local")
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clip_config.save_pretrained("./paddlenlp-test-config/clip-vit-base-patch32")
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clip_config = CLIPConfig.from_pretrained("./paddlenlp-test-config/clip-vit-base-patch32")
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clip_config = AutoConfig.from_pretrained("./paddlenlp-test-config/clip-vit-base-patch32")
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logger.info("Download CLIP Config from local with subfolder")
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clip_config = CLIPConfig.from_pretrained("./paddlenlp-test-config", subfolder="clip-vit-base-patch32")
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clip_config = AutoConfig.from_pretrained("./paddlenlp-test-config", subfolder="clip-vit-base-patch32")
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logger.info("Download CLIP Config from PaddleNLP BOS with subfolder")
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clip_config = CLIPConfig.from_pretrained(
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"baicai/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_hf_hub=False
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)
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clip_config = AutoConfig.from_pretrained(
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"baicai/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_hf_hub=False
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)
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logger.info("Download CLIP Config from aistudio")
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clip_config = CLIPConfig.from_pretrained("aistudio/clip-vit-base-patch32", from_aistudio=True)
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clip_config = AutoConfig.from_pretrained("aistudio/clip-vit-base-patch32", from_aistudio=True)
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@slow
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def test_t5_config_load(self):
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logger.info("Download T5 Config from PaddleNLP BOS")
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t5_config = T5Config.from_pretrained("t5-small", from_hf_hub=False)
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t5_config = AutoConfig.from_pretrained("t5-small", from_hf_hub=False)
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logger.info("Download T5 Config from PaddleNLP BOS with subfolder")
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t5_config = T5Config.from_pretrained("baicai/paddlenlp-test-model", subfolder="t5-small", from_hf_hub=False)
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t5_config = AutoConfig.from_pretrained("baicai/paddlenlp-test-model", subfolder="t5-small", from_hf_hub=False)
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logger.info("Download T5 Config from local")
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t5_config.save_pretrained("./paddlenlp-test-config/t5-small")
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t5_config = T5Config.from_pretrained("./paddlenlp-test-config/t5-small")
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t5_config = AutoConfig.from_pretrained("./paddlenlp-test-config/t5-small")
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logger.info("Download T5 Config from aistudio")
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t5_config = T5Config.from_pretrained("aistudio/t5-small", from_aistudio=True)
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t5_config = AutoConfig.from_pretrained("aistudio/t5-small", from_aistudio=True)
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