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tests / test_configuration_auto.py

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	# coding=utf-8
	# Copyright 2019-present, the HuggingFace Inc. team.
	#
	# 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.

	import os
	import unittest

	from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
	from transformers.models.bert.configuration_bert import BertConfig
	from transformers.models.roberta.configuration_roberta import RobertaConfig
	from transformers.testing_utils import DUMMY_UNKWOWN_IDENTIFIER


	SAMPLE_ROBERTA_CONFIG = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures/dummy-config.json")


	class AutoConfigTest(unittest.TestCase):
	def test_config_from_model_shortcut(self):
	config = AutoConfig.from_pretrained("bert-base-uncased")
	self.assertIsInstance(config, BertConfig)

	def test_config_model_type_from_local_file(self):
	config = AutoConfig.from_pretrained(SAMPLE_ROBERTA_CONFIG)
	self.assertIsInstance(config, RobertaConfig)

	def test_config_model_type_from_model_identifier(self):
	config = AutoConfig.from_pretrained(DUMMY_UNKWOWN_IDENTIFIER)
	self.assertIsInstance(config, RobertaConfig)

	def test_config_for_model_str(self):
	config = AutoConfig.for_model("roberta")
	self.assertIsInstance(config, RobertaConfig)

	def test_pattern_matching_fallback(self):
	"""
	In cases where config.json doesn't include a model_type,
	perform a few safety checks on the config mapping's order.
	"""
	# no key string should be included in a later key string (typical failure case)
	keys = list(CONFIG_MAPPING.keys())
	for i, key in enumerate(keys):
	self.assertFalse(any(key in later_key for later_key in keys[i + 1 :]))