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Add MaskedImageModelingOutput (#22212)

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* Add MaskedImageModelingOutput
This commit is contained in:
Alara Dirik
2023-03-22 07:35:47 +03:00
committed by GitHub
parent 0dcb46e7a4
commit 0558914dff
8 changed files with 116 additions and 28 deletions
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4
tests/models/deit/test_modeling_deit.py
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@@ -145,7 +145,7 @@ class DeiTModelTester:
model.eval()
result = model(pixel_values)
self.parent.assertEqual(
result.logits.shape, (self.batch_size, self.num_channels, self.image_size, self.image_size)
result.reconstruction.shape, (self.batch_size, self.num_channels, self.image_size, self.image_size)
)
# test greyscale images
@@ -156,7 +156,7 @@ class DeiTModelTester:
pixel_values = floats_tensor([self.batch_size, 1, self.image_size, self.image_size])
result = model(pixel_values)
self.parent.assertEqual(result.logits.shape, (self.batch_size, 1, self.image_size, self.image_size))
self.parent.assertEqual(result.reconstruction.shape, (self.batch_size, 1, self.image_size, self.image_size))
def create_and_check_for_image_classification(self, config, pixel_values, labels):
config.num_labels = self.type_sequence_label_size

4
tests/models/deit/test_modeling_tf_deit.py
View File

@@ -130,7 +130,7 @@ class TFDeiTModelTester:
model = TFDeiTForMaskedImageModeling(config=config)
result = model(pixel_values)
self.parent.assertEqual(
result.logits.shape, (self.batch_size, self.num_channels, self.image_size, self.image_size)
result.reconstruction.shape, (self.batch_size, self.num_channels, self.image_size, self.image_size)
)
# test greyscale images
@@ -139,7 +139,7 @@ class TFDeiTModelTester:
pixel_values = floats_tensor([self.batch_size, 1, self.image_size, self.image_size])
result = model(pixel_values)
self.parent.assertEqual(result.logits.shape, (self.batch_size, 1, self.image_size, self.image_size))
self.parent.assertEqual(result.reconstruction.shape, (self.batch_size, 1, self.image_size, self.image_size))
def create_and_check_for_image_classification(self, config, pixel_values, labels):
config.num_labels = self.type_sequence_label_size