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1# coding=utf-82# Copyright 2019 HuggingFace Inc.3#4# Licensed under the Apache License, Version 2.0 (the "License");5# you may not use this file except in compliance with the License.6# You may obtain a copy of the License at7#8#     http://www.apache.org/licenses/LICENSE-2.09#10# Unless required by applicable law or agreed to in writing, software11# distributed under the License is distributed on an "AS IS" BASIS,12# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.13# See the License for the specific language governing permissions and14# limitations under the License.15 16import copy17import json18import os19import shutil20import sys21import tempfile22import unittest23import unittest.mock as mock24from pathlib import Path25 26from huggingface_hub import HfFolder, delete_repo27from requests.exceptions import HTTPError28 29from transformers import AutoConfig, BertConfig, GPT2Config, is_torch_available30from transformers.configuration_utils import PretrainedConfig31from transformers.testing_utils import TOKEN, USER, is_staging_test32 33 34sys.path.append(str(Path(__file__).parent.parent / "utils"))35 36from test_module.custom_configuration import CustomConfig  # noqa E40237 38 39config_common_kwargs = {40    "return_dict": False,41    "output_hidden_states": True,42    "output_attentions": True,43    "torchscript": True,44    "torch_dtype": "float16",45    "use_bfloat16": True,46    "tf_legacy_loss": True,47    "pruned_heads": {"a": 1},48    "tie_word_embeddings": False,49    "is_decoder": True,50    "cross_attention_hidden_size": 128,51    "add_cross_attention": True,52    "tie_encoder_decoder": True,53    "max_length": 50,54    "min_length": 3,55    "do_sample": True,56    "early_stopping": True,57    "num_beams": 3,58    "num_beam_groups": 3,59    "diversity_penalty": 0.5,60    "temperature": 2.0,61    "top_k": 10,62    "top_p": 0.7,63    "typical_p": 0.2,64    "repetition_penalty": 0.8,65    "length_penalty": 0.8,66    "no_repeat_ngram_size": 5,67    "encoder_no_repeat_ngram_size": 5,68    "bad_words_ids": [1, 2, 3],69    "num_return_sequences": 3,70    "chunk_size_feed_forward": 5,71    "output_scores": True,72    "return_dict_in_generate": True,73    "forced_bos_token_id": 2,74    "forced_eos_token_id": 3,75    "remove_invalid_values": True,76    "architectures": ["BertModel"],77    "finetuning_task": "translation",78    "id2label": {0: "label"},79    "label2id": {"label": "0"},80    "tokenizer_class": "BertTokenizerFast",81    "prefix": "prefix",82    "bos_token_id": 6,83    "pad_token_id": 7,84    "eos_token_id": 8,85    "sep_token_id": 9,86    "decoder_start_token_id": 10,87    "exponential_decay_length_penalty": (5, 1.01),88    "suppress_tokens": [0, 1],89    "begin_suppress_tokens": 2,90    "task_specific_params": {"translation": "some_params"},91    "problem_type": "regression",92}93 94 95class ConfigTester(object):96    def __init__(self, parent, config_class=None, has_text_modality=True, **kwargs):97        self.parent = parent98        self.config_class = config_class99        self.has_text_modality = has_text_modality100        self.inputs_dict = kwargs101 102    def create_and_test_config_common_properties(self):103        config = self.config_class(**self.inputs_dict)104        common_properties = ["hidden_size", "num_attention_heads", "num_hidden_layers"]105 106        # Add common fields for text models107        if self.has_text_modality:108            common_properties.extend(["vocab_size"])109 110        # Test that config has the common properties as getters111        for prop in common_properties:112            self.parent.assertTrue(hasattr(config, prop), msg=f"`{prop}` does not exist")113 114        # Test that config has the common properties as setter115        for idx, name in enumerate(common_properties):116            try:117                setattr(config, name, idx)118                self.parent.assertEqual(119                    getattr(config, name), idx, msg=f"`{name} value {idx} expected, but was {getattr(config, name)}"120                )121            except NotImplementedError:122                # Some models might not be able to implement setters for common_properties123                # In that case, a NotImplementedError is raised124                pass125 126        # Test if config class can be called with Config(prop_name=..)127        for idx, name in enumerate(common_properties):128            try:129                config = self.config_class(**{name: idx})130                self.parent.assertEqual(131                    getattr(config, name), idx, msg=f"`{name} value {idx} expected, but was {getattr(config, name)}"132                )133            except NotImplementedError:134                # Some models might not be able to implement setters for common_properties135                # In that case, a NotImplementedError is raised136                pass137 138    def create_and_test_config_to_json_string(self):139        config = self.config_class(**self.inputs_dict)140        obj = json.loads(config.to_json_string())141        for key, value in self.inputs_dict.items():142            self.parent.assertEqual(obj[key], value)143 144    def create_and_test_config_to_json_file(self):145        config_first = self.config_class(**self.inputs_dict)146 147        with tempfile.TemporaryDirectory() as tmpdirname:148            json_file_path = os.path.join(tmpdirname, "config.json")149            config_first.to_json_file(json_file_path)150            config_second = self.config_class.from_json_file(json_file_path)151 152        self.parent.assertEqual(config_second.to_dict(), config_first.to_dict())153 154    def create_and_test_config_from_and_save_pretrained(self):155        config_first = self.config_class(**self.inputs_dict)156 157        with tempfile.TemporaryDirectory() as tmpdirname:158            config_first.save_pretrained(tmpdirname)159            config_second = self.config_class.from_pretrained(tmpdirname)160 161        self.parent.assertEqual(config_second.to_dict(), config_first.to_dict())162 163    def create_and_test_config_from_and_save_pretrained_subfolder(self):164        config_first = self.config_class(**self.inputs_dict)165 166        subfolder = "test"167        with tempfile.TemporaryDirectory() as tmpdirname:168            sub_tmpdirname = os.path.join(tmpdirname, subfolder)169            config_first.save_pretrained(sub_tmpdirname)170            config_second = self.config_class.from_pretrained(tmpdirname, subfolder=subfolder)171 172        self.parent.assertEqual(config_second.to_dict(), config_first.to_dict())173 174    def create_and_test_config_with_num_labels(self):175        config = self.config_class(**self.inputs_dict, num_labels=5)176        self.parent.assertEqual(len(config.id2label), 5)177        self.parent.assertEqual(len(config.label2id), 5)178 179        config.num_labels = 3180        self.parent.assertEqual(len(config.id2label), 3)181        self.parent.assertEqual(len(config.label2id), 3)182 183    def check_config_can_be_init_without_params(self):184        if self.config_class.is_composition:185            return186        config = self.config_class()187        self.parent.assertIsNotNone(config)188 189    def check_config_arguments_init(self):190        kwargs = copy.deepcopy(config_common_kwargs)191        config = self.config_class(**kwargs)192        wrong_values = []193        for key, value in config_common_kwargs.items():194            if key == "torch_dtype":195                if not is_torch_available():196                    continue197                else:198                    import torch199 200                    if config.torch_dtype != torch.float16:201                        wrong_values.append(("torch_dtype", config.torch_dtype, torch.float16))202            elif getattr(config, key) != value:203                wrong_values.append((key, getattr(config, key), value))204 205        if len(wrong_values) > 0:206            errors = "\n".join([f"- {v[0]}: got {v[1]} instead of {v[2]}" for v in wrong_values])207            raise ValueError(f"The following keys were not properly set in the config:\n{errors}")208 209    def run_common_tests(self):210        self.create_and_test_config_common_properties()211        self.create_and_test_config_to_json_string()212        self.create_and_test_config_to_json_file()213        self.create_and_test_config_from_and_save_pretrained()214        self.create_and_test_config_from_and_save_pretrained_subfolder()215        self.create_and_test_config_with_num_labels()216        self.check_config_can_be_init_without_params()217        self.check_config_arguments_init()218 219 220@is_staging_test221class ConfigPushToHubTester(unittest.TestCase):222    @classmethod223    def setUpClass(cls):224        cls._token = TOKEN225        HfFolder.save_token(TOKEN)226 227    @classmethod228    def tearDownClass(cls):229        try:230            delete_repo(token=cls._token, repo_id="test-config")231        except HTTPError:232            pass233 234        try:235            delete_repo(token=cls._token, repo_id="valid_org/test-config-org")236        except HTTPError:237            pass238 239        try:240            delete_repo(token=cls._token, repo_id="test-dynamic-config")241        except HTTPError:242            pass243 244    def test_push_to_hub(self):245        config = BertConfig(246            vocab_size=99, hidden_size=32, num_hidden_layers=5, num_attention_heads=4, intermediate_size=37247        )248        config.push_to_hub("test-config", use_auth_token=self._token)249 250        new_config = BertConfig.from_pretrained(f"{USER}/test-config")251        for k, v in config.to_dict().items():252            if k != "transformers_version":253                self.assertEqual(v, getattr(new_config, k))254 255        # Reset repo256        delete_repo(token=self._token, repo_id="test-config")257 258        # Push to hub via save_pretrained259        with tempfile.TemporaryDirectory() as tmp_dir:260            config.save_pretrained(tmp_dir, repo_id="test-config", push_to_hub=True, use_auth_token=self._token)261 262        new_config = BertConfig.from_pretrained(f"{USER}/test-config")263        for k, v in config.to_dict().items():264            if k != "transformers_version":265                self.assertEqual(v, getattr(new_config, k))266 267    def test_push_to_hub_in_organization(self):268        config = BertConfig(269            vocab_size=99, hidden_size=32, num_hidden_layers=5, num_attention_heads=4, intermediate_size=37270        )271        config.push_to_hub("valid_org/test-config-org", use_auth_token=self._token)272 273        new_config = BertConfig.from_pretrained("valid_org/test-config-org")274        for k, v in config.to_dict().items():275            if k != "transformers_version":276                self.assertEqual(v, getattr(new_config, k))277 278        # Reset repo279        delete_repo(token=self._token, repo_id="valid_org/test-config-org")280 281        # Push to hub via save_pretrained282        with tempfile.TemporaryDirectory() as tmp_dir:283            config.save_pretrained(284                tmp_dir, repo_id="valid_org/test-config-org", push_to_hub=True, use_auth_token=self._token285            )286 287        new_config = BertConfig.from_pretrained("valid_org/test-config-org")288        for k, v in config.to_dict().items():289            if k != "transformers_version":290                self.assertEqual(v, getattr(new_config, k))291 292    def test_push_to_hub_dynamic_config(self):293        CustomConfig.register_for_auto_class()294        config = CustomConfig(attribute=42)295 296        config.push_to_hub("test-dynamic-config", use_auth_token=self._token)297 298        # This has added the proper auto_map field to the config299        self.assertDictEqual(config.auto_map, {"AutoConfig": "custom_configuration.CustomConfig"})300 301        new_config = AutoConfig.from_pretrained(f"{USER}/test-dynamic-config", trust_remote_code=True)302        # Can't make an isinstance check because the new_config is from the FakeConfig class of a dynamic module303        self.assertEqual(new_config.__class__.__name__, "CustomConfig")304        self.assertEqual(new_config.attribute, 42)305 306 307class ConfigTestUtils(unittest.TestCase):308    def test_config_from_string(self):309        c = GPT2Config()310 311        # attempt to modify each of int/float/bool/str config records and verify they were updated312        n_embd = c.n_embd + 1  # int313        resid_pdrop = c.resid_pdrop + 1.0  # float314        scale_attn_weights = not c.scale_attn_weights  # bool315        summary_type = c.summary_type + "foo"  # str316        c.update_from_string(317            f"n_embd={n_embd},resid_pdrop={resid_pdrop},scale_attn_weights={scale_attn_weights},summary_type={summary_type}"318        )319        self.assertEqual(n_embd, c.n_embd, "mismatch for key: n_embd")320        self.assertEqual(resid_pdrop, c.resid_pdrop, "mismatch for key: resid_pdrop")321        self.assertEqual(scale_attn_weights, c.scale_attn_weights, "mismatch for key: scale_attn_weights")322        self.assertEqual(summary_type, c.summary_type, "mismatch for key: summary_type")323 324    def test_config_common_kwargs_is_complete(self):325        base_config = PretrainedConfig()326        missing_keys = [key for key in base_config.__dict__ if key not in config_common_kwargs]327        # If this part of the test fails, you have arguments to addin config_common_kwargs above.328        self.assertListEqual(329            missing_keys, ["is_encoder_decoder", "_name_or_path", "_commit_hash", "transformers_version"]330        )331        keys_with_defaults = [key for key, value in config_common_kwargs.items() if value == getattr(base_config, key)]332        if len(keys_with_defaults) > 0:333            raise ValueError(334                "The following keys are set with the default values in"335                " `test_configuration_common.config_common_kwargs` pick another value for them:"336                f" {', '.join(keys_with_defaults)}."337            )338 339    def test_from_pretrained_subfolder(self):340        with self.assertRaises(OSError):341            # config is in subfolder, the following should not work without specifying the subfolder342            _ = BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert-subfolder")343 344        config = BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert-subfolder", subfolder="bert")345 346        self.assertIsNotNone(config)347 348    def test_cached_files_are_used_when_internet_is_down(self):349        # A mock response for an HTTP head request to emulate server down350        response_mock = mock.Mock()351        response_mock.status_code = 500352        response_mock.headers = {}353        response_mock.raise_for_status.side_effect = HTTPError354        response_mock.json.return_value = {}355 356        # Download this model to make sure it's in the cache.357        _ = BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert")358 359        # Under the mock environment we get a 500 error when trying to reach the model.360        with mock.patch("requests.request", return_value=response_mock) as mock_head:361            _ = BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert")362            # This check we did call the fake head request363            mock_head.assert_called()364 365    def test_legacy_load_from_url(self):366        # This test is for deprecated behavior and can be removed in v5367        _ = BertConfig.from_pretrained(368            "https://huggingface.co/hf-internal-testing/tiny-random-bert/resolve/main/config.json"369        )370 371 372class ConfigurationVersioningTest(unittest.TestCase):373    def test_local_versioning(self):374        configuration = AutoConfig.from_pretrained("bert-base-cased")375        configuration.configuration_files = ["config.4.0.0.json"]376 377        with tempfile.TemporaryDirectory() as tmp_dir:378            configuration.save_pretrained(tmp_dir)379            configuration.hidden_size = 2380            json.dump(configuration.to_dict(), open(os.path.join(tmp_dir, "config.4.0.0.json"), "w"))381 382            # This should pick the new configuration file as the version of Transformers is > 4.0.0383            new_configuration = AutoConfig.from_pretrained(tmp_dir)384            self.assertEqual(new_configuration.hidden_size, 2)385 386            # Will need to be adjusted if we reach v42 and this test is still here.387            # Should pick the old configuration file as the version of Transformers is < 4.42.0388            configuration.configuration_files = ["config.42.0.0.json"]389            configuration.hidden_size = 768390            configuration.save_pretrained(tmp_dir)391            shutil.move(os.path.join(tmp_dir, "config.4.0.0.json"), os.path.join(tmp_dir, "config.42.0.0.json"))392            new_configuration = AutoConfig.from_pretrained(tmp_dir)393            self.assertEqual(new_configuration.hidden_size, 768)394 395    def test_repo_versioning_before(self):396        # This repo has two configuration files, one for v4.0.0 and above with a different hidden size.397        repo = "hf-internal-testing/test-two-configs"398 399        import transformers as new_transformers400 401        new_transformers.configuration_utils.__version__ = "v4.0.0"402        new_configuration, kwargs = new_transformers.models.auto.AutoConfig.from_pretrained(403            repo, return_unused_kwargs=True404        )405        self.assertEqual(new_configuration.hidden_size, 2)406        # This checks `_configuration_file` ia not kept in the kwargs by mistake.407        self.assertDictEqual(kwargs, {})408 409        # Testing an older version by monkey-patching the version in the module it's used.410        import transformers as old_transformers411 412        old_transformers.configuration_utils.__version__ = "v3.0.0"413        old_configuration = old_transformers.models.auto.AutoConfig.from_pretrained(repo)414        self.assertEqual(old_configuration.hidden_size, 768)415