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2c60ff2fe2
* Add API to register a new object in auto classes * Fix test * Documentation * Add to tokenizers and test * Add cleanup after tests * Be more careful * Move import * Move import * Cleanup in TF test too * Add consistency check * Add documentation * Style * Update docs/source/model_doc/auto.rst Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/auto/auto_factory.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
80 lines
3.2 KiB
Python
80 lines
3.2 KiB
Python
# coding=utf-8
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# Copyright 2019-present, the HuggingFace Inc. team.
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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 tempfile
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import unittest
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from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
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from transformers.models.bert.configuration_bert import BertConfig
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from transformers.models.roberta.configuration_roberta import RobertaConfig
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from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER
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SAMPLE_ROBERTA_CONFIG = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures/dummy-config.json")
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class NewModelConfig(BertConfig):
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model_type = "new-model"
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class AutoConfigTest(unittest.TestCase):
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def test_config_from_model_shortcut(self):
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config = AutoConfig.from_pretrained("bert-base-uncased")
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self.assertIsInstance(config, BertConfig)
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def test_config_model_type_from_local_file(self):
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config = AutoConfig.from_pretrained(SAMPLE_ROBERTA_CONFIG)
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self.assertIsInstance(config, RobertaConfig)
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def test_config_model_type_from_model_identifier(self):
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config = AutoConfig.from_pretrained(DUMMY_UNKNOWN_IDENTIFIER)
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self.assertIsInstance(config, RobertaConfig)
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def test_config_for_model_str(self):
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config = AutoConfig.for_model("roberta")
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self.assertIsInstance(config, RobertaConfig)
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def test_pattern_matching_fallback(self):
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"""
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In cases where config.json doesn't include a model_type,
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perform a few safety checks on the config mapping's order.
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"""
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# no key string should be included in a later key string (typical failure case)
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keys = list(CONFIG_MAPPING.keys())
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for i, key in enumerate(keys):
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self.assertFalse(any(key in later_key for later_key in keys[i + 1 :]))
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def test_new_config_registration(self):
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try:
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AutoConfig.register("new-model", NewModelConfig)
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# Wrong model type will raise an error
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with self.assertRaises(ValueError):
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AutoConfig.register("model", NewModelConfig)
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# Trying to register something existing in the Transformers library will raise an error
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with self.assertRaises(ValueError):
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AutoConfig.register("bert", BertConfig)
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# Now that the config is registered, it can be used as any other config with the auto-API
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config = NewModelConfig()
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with tempfile.TemporaryDirectory() as tmp_dir:
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config.save_pretrained(tmp_dir)
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new_config = AutoConfig.from_pretrained(tmp_dir)
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self.assertIsInstance(new_config, NewModelConfig)
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finally:
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if "new-model" in CONFIG_MAPPING._extra_content:
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del CONFIG_MAPPING._extra_content["new-model"]
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