voice_clone_v3 / transformers /tests /models /auto /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 importlib
import json
import os
import sys
import tempfile
import unittest
from pathlib import Path
import transformers
import transformers.models.auto
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_UNKNOWN_IDENTIFIER, get_tests_dir
sys.path.append(str(Path(__file__).parent.parent.parent.parent / "utils"))
from test_module.custom_configuration import CustomConfig # noqa E402
SAMPLE_ROBERTA_CONFIG = get_tests_dir("fixtures/dummy-config.json")
class AutoConfigTest(unittest.TestCase):
def setUp(self):
transformers.dynamic_module_utils.TIME_OUT_REMOTE_CODE = 0
def test_module_spec(self):
self.assertIsNotNone(transformers.models.auto.__spec__)
self.assertIsNotNone(importlib.util.find_spec("transformers.models.auto"))
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_UNKNOWN_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):
with tempfile.TemporaryDirectory() as tmp_dir:
# This model name contains bert and roberta, but roberta ends up being picked.
folder = os.path.join(tmp_dir, "fake-roberta")
os.makedirs(folder, exist_ok=True)
with open(os.path.join(folder, "config.json"), "w") as f:
f.write(json.dumps({}))
config = AutoConfig.from_pretrained(folder)
self.assertEqual(type(config), RobertaConfig)
def test_new_config_registration(self):
try:
AutoConfig.register("custom", CustomConfig)
# Wrong model type will raise an error
with self.assertRaises(ValueError):
AutoConfig.register("model", CustomConfig)
# Trying to register something existing in the Transformers library will raise an error
with self.assertRaises(ValueError):
AutoConfig.register("bert", BertConfig)
# Now that the config is registered, it can be used as any other config with the auto-API
config = CustomConfig()
with tempfile.TemporaryDirectory() as tmp_dir:
config.save_pretrained(tmp_dir)
new_config = AutoConfig.from_pretrained(tmp_dir)
self.assertIsInstance(new_config, CustomConfig)
finally:
if "custom" in CONFIG_MAPPING._extra_content:
del CONFIG_MAPPING._extra_content["custom"]
def test_repo_not_found(self):
with self.assertRaisesRegex(
EnvironmentError, "bert-base is not a local folder and is not a valid model identifier"
):
_ = AutoConfig.from_pretrained("bert-base")
def test_revision_not_found(self):
with self.assertRaisesRegex(
EnvironmentError, r"aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"
):
_ = AutoConfig.from_pretrained(DUMMY_UNKNOWN_IDENTIFIER, revision="aaaaaa")
def test_configuration_not_found(self):
with self.assertRaisesRegex(
EnvironmentError,
"hf-internal-testing/no-config-test-repo does not appear to have a file named config.json.",
):
_ = AutoConfig.from_pretrained("hf-internal-testing/no-config-test-repo")
def test_from_pretrained_dynamic_config(self):
# If remote code is not set, we will time out when asking whether to load the model.
with self.assertRaises(ValueError):
config = AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model")
# If remote code is disabled, we can't load this config.
with self.assertRaises(ValueError):
config = AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model", trust_remote_code=False)
config = AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model", trust_remote_code=True)
self.assertEqual(config.__class__.__name__, "NewModelConfig")
# Test config can be reloaded.
with tempfile.TemporaryDirectory() as tmp_dir:
config.save_pretrained(tmp_dir)
reloaded_config = AutoConfig.from_pretrained(tmp_dir, trust_remote_code=True)
self.assertEqual(reloaded_config.__class__.__name__, "NewModelConfig")
def test_from_pretrained_dynamic_config_conflict(self):
class NewModelConfigLocal(BertConfig):
model_type = "new-model"
try:
AutoConfig.register("new-model", NewModelConfigLocal)
# If remote code is not set, the default is to use local
config = AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model")
self.assertEqual(config.__class__.__name__, "NewModelConfigLocal")
# If remote code is disabled, we load the local one.
config = AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model", trust_remote_code=False)
self.assertEqual(config.__class__.__name__, "NewModelConfigLocal")
# If remote is enabled, we load from the Hub
config = AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model", trust_remote_code=True)
self.assertEqual(config.__class__.__name__, "NewModelConfig")
finally:
if "new-model" in CONFIG_MAPPING._extra_content:
del CONFIG_MAPPING._extra_content["new-model"]