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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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25
tests/models/owlvit/test_modeling_owlvit.py
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@@ -50,7 +50,6 @@ if is_torch_available():
from torch import nn
from transformers import OwlViTForObjectDetection, OwlViTModel, OwlViTTextModel, OwlViTVisionModel
from transformers.models.owlvit.modeling_owlvit import OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST
if is_vision_available():
@@ -217,9 +216,9 @@ class OwlViTVisionModelTest(ModelTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = OwlViTVisionModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "google/owlvit-base-patch32"
model = OwlViTVisionModel.from_pretrained(model_name)
self.assertIsNotNone(model)
class OwlViTTextModelTester:
@@ -363,9 +362,9 @@ class OwlViTTextModelTest(ModelTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = OwlViTTextModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "google/owlvit-base-patch32"
model = OwlViTTextModel.from_pretrained(model_name)
self.assertIsNotNone(model)
class OwlViTModelTester:
@@ -573,9 +572,9 @@ class OwlViTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = OwlViTModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "google/owlvit-base-patch32"
model = OwlViTModel.from_pretrained(model_name)
self.assertIsNotNone(model)
class OwlViTForObjectDetectionTester:
@@ -770,9 +769,9 @@ class OwlViTForObjectDetectionTest(ModelTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = OwlViTForObjectDetection.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "google/owlvit-base-patch32"
model = OwlViTForObjectDetection.from_pretrained(model_name)
self.assertIsNotNone(model)
# We will verify our results on an image of cute cats