mirror of
https://github.com/huggingface/transformers.git
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19420fd99e
* move test model folders (TODO: fix imports and others) * fix (potentially partially) imports (in model test modules) * fix (potentially partially) imports (in tokenization test modules) * fix (potentially partially) imports (in feature extraction test modules) * fix import utils.test_modeling_tf_core * fix path ../fixtures/ * fix imports about generation.test_generation_flax_utils * fix more imports * fix fixture path * fix get_test_dir * update module_to_test_file * fix get_tests_dir from wrong transformers.utils * update config.yml (CircleCI) * fix style * remove missing imports * update new model script * update check_repo * update SPECIAL_MODULE_TO_TEST_MAP * fix style * add __init__ * update self-scheduled * fix add_new_model scripts * check one way to get location back * python setup.py build install * fix import in test auto * update self-scheduled.yml * update slack notification script * Add comments about artifact names * fix for yolos Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
111 lines
4.5 KiB
Python
111 lines
4.5 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 importlib
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import sys
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import tempfile
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import unittest
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from pathlib import Path
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import transformers.models.auto
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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, get_tests_dir
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sys.path.append(str(Path(__file__).parent.parent.parent.parent / "utils"))
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from test_module.custom_configuration import CustomConfig # noqa E402
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SAMPLE_ROBERTA_CONFIG = get_tests_dir("fixtures/dummy-config.json")
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class AutoConfigTest(unittest.TestCase):
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def test_module_spec(self):
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self.assertIsNotNone(transformers.models.auto.__spec__)
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self.assertIsNotNone(importlib.util.find_spec("transformers.models.auto"))
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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("custom", CustomConfig)
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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", CustomConfig)
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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 = CustomConfig()
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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, CustomConfig)
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finally:
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if "custom" in CONFIG_MAPPING._extra_content:
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del CONFIG_MAPPING._extra_content["custom"]
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def test_repo_not_found(self):
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with self.assertRaisesRegex(
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EnvironmentError, "bert-base is not a local folder and is not a valid model identifier"
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):
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_ = AutoConfig.from_pretrained("bert-base")
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def test_revision_not_found(self):
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with self.assertRaisesRegex(
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EnvironmentError, r"aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"
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):
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_ = AutoConfig.from_pretrained(DUMMY_UNKNOWN_IDENTIFIER, revision="aaaaaa")
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def test_configuration_not_found(self):
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with self.assertRaisesRegex(
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EnvironmentError,
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"hf-internal-testing/no-config-test-repo does not appear to have a file named config.json.",
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):
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_ = AutoConfig.from_pretrained("hf-internal-testing/no-config-test-repo")
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def test_from_pretrained_dynamic_config(self):
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config = AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model", trust_remote_code=True)
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self.assertEqual(config.__class__.__name__, "NewModelConfig")
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