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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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19
tests/models/groupvit/test_modeling_groupvit.py
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@@ -44,7 +44,6 @@ if is_torch_available():
from torch import nn
from transformers import GroupViTModel, GroupViTTextModel, GroupViTVisionModel
from transformers.models.groupvit.modeling_groupvit import GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST
if is_vision_available():
@@ -352,9 +351,9 @@ class GroupViTVisionModelTest(ModelTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = GroupViTVisionModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "nvidia/groupvit-gcc-yfcc"
model = GroupViTVisionModel.from_pretrained(model_name)
self.assertIsNotNone(model)
class GroupViTTextModelTester:
@@ -492,9 +491,9 @@ class GroupViTTextModelTest(ModelTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = GroupViTTextModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "nvidia/groupvit-gcc-yfcc"
model = GroupViTTextModel.from_pretrained(model_name)
self.assertIsNotNone(model)
class GroupViTModelTester:
@@ -706,9 +705,9 @@ class GroupViTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
@slow
def test_model_from_pretrained(self):
for model_name in GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = GroupViTModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "nvidia/groupvit-gcc-yfcc"
model = GroupViTModel.from_pretrained(model_name)
self.assertIsNotNone(model)
# We will verify our results on an image of cute cats

19
tests/models/groupvit/test_modeling_tf_groupvit.py
View File

@@ -47,7 +47,6 @@ if is_tf_available():
from transformers import TFGroupViTModel, TFGroupViTTextModel, TFGroupViTVisionModel, TFSharedEmbeddings
from transformers.modeling_tf_utils import keras
from transformers.models.groupvit.modeling_tf_groupvit import TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST
if is_vision_available():
@@ -314,9 +313,9 @@ class TFGroupViTVisionModelTest(TFModelTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = TFGroupViTVisionModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "nvidia/groupvit-gcc-yfcc"
model = TFGroupViTVisionModel.from_pretrained(model_name)
self.assertIsNotNone(model)
@unittest.skip(
"TFGroupViTVisionModel does not convert `hidden_states` and `attentions` to tensors as they are all of"
@@ -485,9 +484,9 @@ class TFGroupViTTextModelTest(TFModelTesterMixin, unittest.TestCase):
@slow
def test_model_from_pretrained(self):
for model_name in TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = TFGroupViTTextModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "nvidia/groupvit-gcc-yfcc"
model = TFGroupViTTextModel.from_pretrained(model_name)
self.assertIsNotNone(model)
@slow
def test_saved_model_creation_extended(self):
@@ -697,9 +696,9 @@ class TFGroupViTModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.Test
@slow
def test_model_from_pretrained(self):
for model_name in TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = TFGroupViTModel.from_pretrained(model_name)
self.assertIsNotNone(model)
model_name = "nvidia/groupvit-gcc-yfcc"
model = TFGroupViTModel.from_pretrained(model_name)
self.assertIsNotNone(model)
@unittest.skip(reason="Currently `saved_model` doesn't work with nested outputs.")
@slow