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Remove all expired deprecation cycles (#39725)

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* remove all deprecation cycles

* style

* fix

* remove

* remove

* fix

* Update modular_dpt.py

* back

* typo

* typo

* final fix

* remove all args
This commit is contained in:
Cyril Vallez
2025-07-28 15:43:41 +02:00
committed by GitHub
parent a0fa500a3d
commit 686bb3b098
64 changed files with 4 additions and 831 deletions
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26
tests/models/mask2former/test_image_processing_mask2former.py
View File

@@ -191,18 +191,6 @@ class Mask2FormerImageProcessingTest(ImageProcessingTestMixin, unittest.TestCase
self.assertTrue(hasattr(image_processing, "ignore_index"))
self.assertTrue(hasattr(image_processing, "num_labels"))
def test_image_processor_from_dict_with_kwargs(self):
for image_processing_class in self.image_processor_list:
image_processor = image_processing_class.from_dict(self.image_processor_dict)
self.assertEqual(image_processor.size, {"shortest_edge": 32, "longest_edge": 1333})
self.assertEqual(image_processor.size_divisor, 0)
image_processor = image_processing_class.from_dict(
self.image_processor_dict, size=42, max_size=84, size_divisibility=8
)
self.assertEqual(image_processor.size, {"shortest_edge": 42, "longest_edge": 84})
self.assertEqual(image_processor.size_divisor, 8)
def comm_get_image_processing_inputs(
self,
image_processor_tester,
@@ -568,20 +556,6 @@ class Mask2FormerImageProcessingTest(ImageProcessingTestMixin, unittest.TestCase
num_segments_fused = max([el["id"] for el in el_fused])
self.assertEqual(num_segments_fused, expected_num_segments)
def test_removed_deprecated_kwargs(self):
image_processor_dict = dict(self.image_processor_dict)
image_processor_dict.pop("do_reduce_labels", None)
image_processor_dict["reduce_labels"] = True
# test we are able to create the image processor with the deprecated kwargs
for image_processing_class in self.image_processor_list:
image_processor = image_processing_class(**image_processor_dict)
self.assertEqual(image_processor.do_reduce_labels, True)
# test we still support reduce_labels with config
image_processor = image_processing_class.from_dict(image_processor_dict)
self.assertEqual(image_processor.do_reduce_labels, True)
def test_slow_fast_equivalence(self):
if not self.test_slow_image_processor or not self.test_fast_image_processor:
self.skipTest(reason="Skipping slow/fast equivalence test")

25
tests/models/maskformer/test_image_processing_maskformer.py
View File

@@ -187,18 +187,6 @@ class MaskFormerImageProcessingTest(ImageProcessingTestMixin, unittest.TestCase)
self.assertTrue(hasattr(image_processing, "ignore_index"))
self.assertTrue(hasattr(image_processing, "num_labels"))
def test_image_processor_from_dict_with_kwargs(self):
for image_processing_class in self.image_processor_list:
image_processor = image_processing_class.from_dict(self.image_processor_dict)
self.assertEqual(image_processor.size, {"shortest_edge": 32, "longest_edge": 1333})
self.assertEqual(image_processor.size_divisor, 0)
image_processor = image_processing_class.from_dict(
self.image_processor_dict, size=42, max_size=84, size_divisibility=8
)
self.assertEqual(image_processor.size, {"shortest_edge": 42, "longest_edge": 84})
self.assertEqual(image_processor.size_divisor, 8)
def comm_get_image_processing_inputs(
self, with_segmentation_maps=False, is_instance_map=False, segmentation_type="np"
):
@@ -556,19 +544,6 @@ class MaskFormerImageProcessingTest(ImageProcessingTestMixin, unittest.TestCase)
num_segments_fused = max([el["id"] for el in el_fused])
self.assertEqual(num_segments_fused, expected_num_segments)
def test_removed_deprecated_kwargs(self):
image_processor_dict = dict(self.image_processor_dict)
image_processor_dict.pop("do_reduce_labels", None)
image_processor_dict["reduce_labels"] = True
# test we are able to create the image processor with the deprecated kwargs
image_processor = self.image_processing_class(**image_processor_dict)
self.assertEqual(image_processor.do_reduce_labels, True)
# test we still support reduce_labels with config
image_processor = self.image_processing_class.from_dict(image_processor_dict)
self.assertEqual(image_processor.do_reduce_labels, True)
def test_slow_fast_equivalence(self):
if not self.test_slow_image_processor or not self.test_fast_image_processor:
self.skipTest(reason="Skipping slow/fast equivalence test")

14
tests/models/oneformer/test_image_processing_oneformer.py
View File

@@ -377,20 +377,6 @@ class OneFormerImageProcessingTest(ImageProcessingTestMixin, unittest.TestCase):
self.assertEqual(image_processor.metadata, metadata)
def test_removed_deprecated_kwargs(self):
image_processor_dict = dict(self.image_processor_dict)
image_processor_dict.pop("do_reduce_labels", None)
image_processor_dict["reduce_labels"] = True
# Only test for OneFormerImageProcessor
image_processing_class = self.image_processing_class
# test we are able to create the image processor with the deprecated kwargs
image_processor = image_processing_class(**image_processor_dict)
self.assertEqual(image_processor.do_reduce_labels, True)
# test we still support reduce_labels with config
image_processor = image_processing_class.from_dict(image_processor_dict)
self.assertEqual(image_processor.do_reduce_labels, True)
def test_slow_fast_equivalence(self):
if not self.test_slow_image_processor or not self.test_fast_image_processor:
self.skipTest(reason="Skipping slow/fast equivalence test")

13
tests/models/segformer/test_image_processing_segformer.py
View File

@@ -247,16 +247,3 @@ class SegformerImageProcessingTest(ImageProcessingTestMixin, unittest.TestCase):
encoding = image_processing(image, map, return_tensors="pt")
self.assertTrue(encoding["labels"].min().item() >= 0)
self.assertTrue(encoding["labels"].max().item() <= 255)
def test_removed_deprecated_kwargs(self):
image_processor_dict = dict(self.image_processor_dict)
image_processor_dict.pop("do_reduce_labels", None)
image_processor_dict["reduce_labels"] = True
# test we are able to create the image processor with the deprecated kwargs
image_processor = self.image_processing_class(**image_processor_dict)
self.assertEqual(image_processor.do_reduce_labels, True)
# test we still support reduce_labels with config
image_processor = self.image_processing_class.from_dict(image_processor_dict)
self.assertEqual(image_processor.do_reduce_labels, True)