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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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31
tests/models/blip/test_modeling_tf_blip.py
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@@ -45,7 +45,6 @@ if is_tf_available():
TFBlipVisionModel,
)
from transformers.modeling_tf_utils import keras
from transformers.models.blip.modeling_tf_blip import TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST
if is_vision_available():
@@ -191,9 +190,9 @@ class TFBlipVisionModelTest(TFModelTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = TFBlipVisionModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "Salesforce/blip-vqa-base"
model = TFBlipVisionModel.from_pretrained(model_name)
self.assertIsNotNone(model)
class TFBlipTextModelTester:
@@ -319,9 +318,9 @@ class TFBlipTextModelTest(TFModelTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = TFBlipTextModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "Salesforce/blip-vqa-base"
model = TFBlipTextModel.from_pretrained(model_name)
self.assertIsNotNone(model)
def test_pt_tf_model_equivalence(self, allow_missing_keys=True):
super().test_pt_tf_model_equivalence(allow_missing_keys=allow_missing_keys)
@@ -428,9 +427,9 @@ class TFBlipModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestCase
@slow
def test_model_from_pretrained(self):
for model_name in TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = TFBlipModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "Salesforce/blip-vqa-base"
model = TFBlipModel.from_pretrained(model_name)
self.assertIsNotNone(model)
def test_pt_tf_model_equivalence(self, allow_missing_keys=True):
super().test_pt_tf_model_equivalence(allow_missing_keys=allow_missing_keys)
@@ -716,9 +715,9 @@ class TFBlipTextRetrievalModelTest(TFModelTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = TFBlipModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "Salesforce/blip-vqa-base"
model = TFBlipModel.from_pretrained(model_name)
self.assertIsNotNone(model)
@unittest.skip(reason="Tested in individual model tests")
def test_compile_tf_model(self):
@@ -831,9 +830,9 @@ class TFBlipTextImageModelTest(TFModelTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = TFBlipModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "Salesforce/blip-vqa-base"
model = TFBlipModel.from_pretrained(model_name)
self.assertIsNotNone(model)
# We will verify our results on an image of cute cats