Avoid using get_list_of_files (#15287)
* Avoid using get_list_of_files in config * Wip, change tokenizer file getter * Remove call in tokenizer files * Remove last call to get_list_model_files * Better tests * Unit tests for new function * Document bad API
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@@ -313,6 +313,7 @@ class ConfigTestUtils(unittest.TestCase):
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class ConfigurationVersioningTest(unittest.TestCase):
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def test_local_versioning(self):
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configuration = AutoConfig.from_pretrained("bert-base-cased")
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configuration.configuration_files = ["config.4.0.0.json"]
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with tempfile.TemporaryDirectory() as tmp_dir:
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configuration.save_pretrained(tmp_dir)
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@@ -325,23 +326,26 @@ class ConfigurationVersioningTest(unittest.TestCase):
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# Will need to be adjusted if we reach v42 and this test is still here.
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# Should pick the old configuration file as the version of Transformers is < 4.42.0
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configuration.configuration_files = ["config.42.0.0.json"]
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configuration.hidden_size = 768
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configuration.save_pretrained(tmp_dir)
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shutil.move(os.path.join(tmp_dir, "config.4.0.0.json"), os.path.join(tmp_dir, "config.42.0.0.json"))
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new_configuration = AutoConfig.from_pretrained(tmp_dir)
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self.assertEqual(new_configuration.hidden_size, 768)
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def test_repo_versioning_before(self):
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# This repo has two configuration files, one for v5.0.0 and above with an added token, one for versions lower.
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repo = "microsoft/layoutxlm-base"
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# This repo has two configuration files, one for v4.0.0 and above with a different hidden size.
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repo = "hf-internal-testing/test-two-configs"
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import transformers as new_transformers
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new_transformers.configuration_utils.__version__ = "v5.0.0"
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new_transformers.configuration_utils.__version__ = "v4.0.0"
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new_configuration = new_transformers.models.auto.AutoConfig.from_pretrained(repo)
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self.assertEqual(new_configuration.tokenizer_class, None)
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self.assertEqual(new_configuration.hidden_size, 2)
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# Testing an older version by monkey-patching the version in the module it's used.
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import transformers as old_transformers
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old_transformers.configuration_utils.__version__ = "v3.0.0"
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old_configuration = old_transformers.models.auto.AutoConfig.from_pretrained(repo)
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self.assertEqual(old_configuration.tokenizer_class, "XLMRobertaTokenizer")
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self.assertEqual(old_configuration.hidden_size, 768)
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@@ -15,7 +15,10 @@
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import contextlib
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import importlib
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import io
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import json
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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
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@@ -31,6 +34,7 @@ from transformers.file_utils import (
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RepositoryNotFoundError,
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RevisionNotFoundError,
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filename_to_url,
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get_file_from_repo,
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get_from_cache,
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has_file,
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hf_bucket_url,
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@@ -128,6 +132,31 @@ class GetFromCacheTests(unittest.TestCase):
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self.assertFalse(has_file("hf-internal-testing/tiny-bert-pt-only", TF2_WEIGHTS_NAME))
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self.assertFalse(has_file("hf-internal-testing/tiny-bert-pt-only", FLAX_WEIGHTS_NAME))
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def test_get_file_from_repo_distant(self):
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# `get_file_from_repo` returns None if the file does not exist
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self.assertIsNone(get_file_from_repo("bert-base-cased", "ahah.txt"))
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# The function raises if the repository does not exist.
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with self.assertRaisesRegex(EnvironmentError, "is not a valid model identifier"):
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get_file_from_repo("bert-base-case", "config.json")
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# The function raises if the revision does not exist.
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with self.assertRaisesRegex(EnvironmentError, "is not a valid git identifier"):
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get_file_from_repo("bert-base-cased", "config.json", revision="ahaha")
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resolved_file = get_file_from_repo("bert-base-cased", "config.json")
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# The name is the cached name which is not very easy to test, so instead we load the content.
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config = json.loads(open(resolved_file, "r").read())
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self.assertEqual(config["hidden_size"], 768)
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def test_get_file_from_repo_local(self):
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with tempfile.TemporaryDirectory() as tmp_dir:
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filename = Path(tmp_dir) / "a.txt"
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filename.touch()
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self.assertEqual(get_file_from_repo(tmp_dir, "a.txt"), str(filename))
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self.assertIsNone(get_file_from_repo(tmp_dir, "b.txt"))
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class ContextManagerTests(unittest.TestCase):
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@unittest.mock.patch("sys.stdout", new_callable=io.StringIO)
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@@ -108,6 +108,8 @@ class TokenizerVersioningTest(unittest.TestCase):
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json_tokenizer["model"]["vocab"]["huggingface"] = len(tokenizer)
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with tempfile.TemporaryDirectory() as tmp_dir:
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# Hack to save this in the tokenizer_config.json
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tokenizer.init_kwargs["fast_tokenizer_files"] = ["tokenizer.4.0.0.json"]
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tokenizer.save_pretrained(tmp_dir)
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json.dump(json_tokenizer, open(os.path.join(tmp_dir, "tokenizer.4.0.0.json"), "w"))
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@@ -120,6 +122,8 @@ class TokenizerVersioningTest(unittest.TestCase):
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# Will need to be adjusted if we reach v42 and this test is still here.
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# Should pick the old tokenizer file as the version of Transformers is < 4.0.0
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shutil.move(os.path.join(tmp_dir, "tokenizer.4.0.0.json"), os.path.join(tmp_dir, "tokenizer.42.0.0.json"))
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tokenizer.init_kwargs["fast_tokenizer_files"] = ["tokenizer.42.0.0.json"]
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tokenizer.save_pretrained(tmp_dir)
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new_tokenizer = AutoTokenizer.from_pretrained(tmp_dir)
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self.assertEqual(len(new_tokenizer), len(tokenizer))
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json_tokenizer = json.loads(new_tokenizer._tokenizer.to_str())
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@@ -127,7 +131,7 @@ class TokenizerVersioningTest(unittest.TestCase):
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def test_repo_versioning(self):
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# This repo has two tokenizer files, one for v4.0.0 and above with an added token, one for versions lower.
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repo = "sgugger/finetuned-bert-mrpc"
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repo = "hf-internal-testing/test-two-tokenizers"
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# This should pick the new tokenizer file as the version of Transformers is > 4.0.0
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tokenizer = AutoTokenizer.from_pretrained(repo)
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