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Remove static pretrained maps from the library's internals (#29112)

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* [test_all] Remove static pretrained maps from the library's internals

* Deprecate archive maps instead of removing them

* Revert init changes

* [test_all] Deprecate instead of removing

* [test_all] PVT v2 support

* [test_all] Tests should all pass

* [test_all] Style

* Address review comments

* Update src/transformers/models/deprecated/_archive_maps.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/deprecated/_archive_maps.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* [test_all] trigger tests

* [test_all] LLAVA

* [test_all] Bad rebase

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
This commit is contained in:
Lysandre Debut
2024-03-25 10:33:38 +01:00
committed by GitHub
parent 76a33a1092
commit 39114c0383
842 changed files with 4608 additions and 8613 deletions
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37
tests/test_modeling_utils.py
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@@ -85,7 +85,6 @@ if is_torch_available():
from torch import nn
from transformers import (
BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
AutoModelForCausalLM,
AutoTokenizer,
BertConfig,
@@ -217,29 +216,29 @@ def check_models_equal(model1, model2):
class ModelUtilsTest(TestCasePlus):
@slow
def test_model_from_pretrained(self):
for model_name in BERT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
config = BertConfig.from_pretrained(model_name)
self.assertIsNotNone(config)
self.assertIsInstance(config, PretrainedConfig)
model_name = "google-bert/bert-base-uncased"
config = BertConfig.from_pretrained(model_name)
self.assertIsNotNone(config)
self.assertIsInstance(config, PretrainedConfig)
model = BertModel.from_pretrained(model_name)
model, loading_info = BertModel.from_pretrained(model_name, output_loading_info=True)
self.assertIsNotNone(model)
self.assertIsInstance(model, PreTrainedModel)
model = BertModel.from_pretrained(model_name)
model, loading_info = BertModel.from_pretrained(model_name, output_loading_info=True)
self.assertIsNotNone(model)
self.assertIsInstance(model, PreTrainedModel)
self.assertEqual(len(loading_info["missing_keys"]), 0)
self.assertEqual(len(loading_info["unexpected_keys"]), 8)
self.assertEqual(len(loading_info["mismatched_keys"]), 0)
self.assertEqual(len(loading_info["error_msgs"]), 0)
self.assertEqual(len(loading_info["missing_keys"]), 0)
self.assertEqual(len(loading_info["unexpected_keys"]), 8)
self.assertEqual(len(loading_info["mismatched_keys"]), 0)
self.assertEqual(len(loading_info["error_msgs"]), 0)
config = BertConfig.from_pretrained(model_name, output_attentions=True, output_hidden_states=True)
config = BertConfig.from_pretrained(model_name, output_attentions=True, output_hidden_states=True)
# Not sure this is the intended behavior. TODO fix Lysandre & Thom
config.name_or_path = model_name
# Not sure this is the intended behavior. TODO fix Lysandre & Thom
config.name_or_path = model_name
model = BertModel.from_pretrained(model_name, output_attentions=True, output_hidden_states=True)
self.assertEqual(model.config.output_hidden_states, True)
self.assertEqual(model.config, config)
model = BertModel.from_pretrained(model_name, output_attentions=True, output_hidden_states=True)
self.assertEqual(model.config.output_hidden_states, True)
self.assertEqual(model.config, config)
def test_model_from_pretrained_subfolder(self):
config = BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert")