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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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7
tests/models/segformer/test_modeling_segformer.py
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@@ -34,7 +34,6 @@ if is_torch_available():
SegformerModel,
)
from transformers.models.auto.modeling_auto import MODEL_MAPPING_NAMES
from transformers.models.segformer.modeling_segformer import SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST
if is_vision_available():
@@ -335,9 +334,9 @@ class SegformerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCas
@slow
def test_model_from_pretrained(self):
for model_name in SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = SegformerModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "nvidia/segformer-b0-finetuned-ade-512-512"
model = SegformerModel.from_pretrained(model_name)
self.assertIsNotNone(model)
# We will verify our results on an image of cute cats

7
tests/models/segformer/test_modeling_tf_segformer.py
View File

@@ -34,7 +34,6 @@ if is_tf_available():
import tensorflow as tf
from transformers import TFSegformerForImageClassification, TFSegformerForSemanticSegmentation, TFSegformerModel
from transformers.models.segformer.modeling_tf_segformer import TF_SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST
if is_vision_available():
from PIL import Image
@@ -438,9 +437,9 @@ class TFSegformerModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.Tes
@slow
def test_model_from_pretrained(self):
for model_name in TF_SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = TFSegformerModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "nvidia/segformer-b0-finetuned-ade-512-512"
model = TFSegformerModel.from_pretrained(model_name)
self.assertIsNotNone(model)
# We will verify our results on an image of cute cats