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Merge pull request #9 from CrazyBoyM/support_subfolder
Fix subfolder && add subfolder tests
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# 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. | ||
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import unittest | ||
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from paddlenlp.transformers import AutoConfig, BertConfig, CLIPConfig, T5Config | ||
from paddlenlp.utils.log import logger | ||
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class ConfigLoadTester(unittest.TestCase): | ||
def test_bert_config_load(self): | ||
logger.info("Download Bert Config from PaddleNLP BOS") | ||
bert_config = BertConfig.from_pretrained("bert-base-uncased", from_hf_hub=False) | ||
bert_config = AutoConfig.from_pretrained("bert-base-uncased", from_hf_hub=False) | ||
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logger.info("Download config from local") | ||
bert_config.save_pretrained("./paddlenlp-test-config/bert-base-uncased") | ||
bert_config = BertConfig.from_pretrained("./paddlenlp-test-config/bert-base-uncased") | ||
bert_config = AutoConfig.from_pretrained("./paddlenlp-test-config/bert-base-uncased") | ||
logger.info("Download config from local with subfolder") | ||
bert_config = BertConfig.from_pretrained("./paddlenlp-test-config", subfolder="bert-base-uncased") | ||
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") | ||
bert_config = BertConfig.from_pretrained( | ||
"baicai/paddlenlp-test-model", subfolder="bert-base-uncased", from_hf_hub=False | ||
) | ||
bert_config = AutoConfig.from_pretrained( | ||
"baicai/paddlenlp-test-model", subfolder="bert-base-uncased", from_hf_hub=False | ||
) | ||
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logger.info("Download Bert Config from aistudio") | ||
bert_config = BertConfig.from_pretrained("aistudio/bert-base-uncased", from_aistudio=True) | ||
bert_config = AutoConfig.from_pretrained("aistudio/bert-base-uncased", from_aistudio=True) | ||
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def test_clip_config_load(self): | ||
logger.info("Download CLIP Config from PaddleNLP BOS") | ||
clip_config = CLIPConfig.from_pretrained("openai/clip-vit-base-patch32", from_hf_hub=False) | ||
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") | ||
clip_config.save_pretrained("./paddlenlp-test-config/clip-vit-base-patch32") | ||
clip_config = CLIPConfig.from_pretrained("./paddlenlp-test-config/clip-vit-base-patch32") | ||
clip_config = AutoConfig.from_pretrained("./paddlenlp-test-config/clip-vit-base-patch32") | ||
logger.info("Download CLIP Config from local with subfolder") | ||
clip_config = CLIPConfig.from_pretrained("./paddlenlp-test-config", subfolder="clip-vit-base-patch32") | ||
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") | ||
clip_config = CLIPConfig.from_pretrained( | ||
"baicai/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_hf_hub=False | ||
) | ||
clip_config = AutoConfig.from_pretrained( | ||
"baicai/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_hf_hub=False | ||
) | ||
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logger.info("Download CLIP Config from aistudio") | ||
clip_config = CLIPConfig.from_pretrained("aistudio/clip-vit-base-patch32", from_aistudio=True) | ||
clip_config = AutoConfig.from_pretrained("aistudio/clip-vit-base-patch32", from_aistudio=True) | ||
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def test_t5_config_load(self): | ||
logger.info("Download T5 Config from PaddleNLP BOS") | ||
t5_config = T5Config.from_pretrained("t5-small", from_hf_hub=False) | ||
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") | ||
t5_config = T5Config.from_pretrained("baicai/paddlenlp-test-model", subfolder="t5-small", from_hf_hub=False) | ||
t5_config = AutoConfig.from_pretrained("baicai/paddlenlp-test-model", subfolder="t5-small", from_hf_hub=False) | ||
logger.info("Download T5 Config from local") | ||
t5_config.save_pretrained("./paddlenlp-test-config/t5-small") | ||
t5_config = T5Config.from_pretrained("./paddlenlp-test-config/t5-small") | ||
t5_config = AutoConfig.from_pretrained("./paddlenlp-test-config/t5-small") | ||
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logger.info("Download T5 Config from aistudio") | ||
t5_config = T5Config.from_pretrained("aistudio/t5-small", from_aistudio=True) | ||
t5_config = AutoConfig.from_pretrained("aistudio/t5-small", from_aistudio=True) |
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# 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. | ||
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||
import unittest | ||
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from paddlenlp.transformers import AutoImageProcessor, CLIPImageProcessor | ||
from paddlenlp.utils.log import logger | ||
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class ImageProcessorLoadTester(unittest.TestCase): | ||
def test_clip_load(self): | ||
logger.info("Download model from PaddleNLP BOS") | ||
clip_processor = CLIPImageProcessor.from_pretrained("openai/clip-vit-base-patch32", from_hf_hub=False) | ||
clip_processor = AutoImageProcessor.from_pretrained("openai/clip-vit-base-patch32", from_hf_hub=False) | ||
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logger.info("Download model from local") | ||
clip_processor.save_pretrained("./paddlenlp-test-model/clip-vit-base-patch32") | ||
clip_processor = CLIPImageProcessor.from_pretrained("./paddlenlp-test-model/clip-vit-base-patch32") | ||
clip_processor = AutoImageProcessor.from_pretrained("./paddlenlp-test-model/clip-vit-base-patch32") | ||
logger.info("Download model from PaddleNLP BOS with subfolder") | ||
clip_processor = CLIPImageProcessor.from_pretrained( | ||
"./paddlenlp-test-model/", subfolder="clip-vit-base-patch32" | ||
) | ||
clip_processor = AutoImageProcessor.from_pretrained( | ||
"./paddlenlp-test-model/", subfolder="clip-vit-base-patch32" | ||
) | ||
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logger.info("Download model from PaddleNLP BOS with subfolder") | ||
clip_processor = CLIPImageProcessor.from_pretrained( | ||
"baicai/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_hf_hub=False | ||
) | ||
clip_processor = AutoImageProcessor.from_pretrained( | ||
"baicai/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_hf_hub=False | ||
) | ||
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logger.info("Download model from aistudio") | ||
clip_processor = CLIPImageProcessor.from_pretrained("aistudio/clip-vit-base-patch32", from_aistudio=True) | ||
clip_processor = AutoImageProcessor.from_pretrained("aistudio/clip-vit-base-patch32", from_aistudio=True) | ||
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logger.info("Download model from aistudio with subfolder") | ||
clip_processor = CLIPImageProcessor.from_pretrained( | ||
"aistudio/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_aistudio=True | ||
) | ||
clip_processor = AutoImageProcessor.from_pretrained( | ||
"aistudio/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_aistudio=True | ||
) |
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