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Adding MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING #15934

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Merged
merged 1 commit into from
Mar 4, 2022
Merged

Adding MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING #15934

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4 changes: 4 additions & 0 deletions docs/source/model_doc/auto.mdx
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Expand Up @@ -158,6 +158,10 @@ Likewise, if your `NewModel` is a subclass of [`PreTrainedModel`], make sure its

[[autodoc]] AutoModelForSemanticSegmentation

## AutoModelForInstanceSegmentation

[[autodoc]] AutoModelForInstanceSegmentation

## TFAutoModel

[[autodoc]] TFAutoModel
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4 changes: 4 additions & 0 deletions src/transformers/__init__.py
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Expand Up @@ -677,6 +677,7 @@
"MODEL_FOR_CTC_MAPPING",
"MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
"MODEL_FOR_IMAGE_SEGMENTATION_MAPPING",
"MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING",
"MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING",
"MODEL_FOR_MASKED_LM_MAPPING",
"MODEL_FOR_MULTIPLE_CHOICE_MAPPING",
Expand All @@ -701,6 +702,7 @@
"AutoModelForCTC",
"AutoModelForImageClassification",
"AutoModelForImageSegmentation",
"AutoModelForInstanceSegmentation",
"AutoModelForMaskedImageModeling",
"AutoModelForMaskedLM",
"AutoModelForMultipleChoice",
Expand Down Expand Up @@ -2892,6 +2894,7 @@
MODEL_FOR_CTC_MAPPING,
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
MODEL_FOR_IMAGE_SEGMENTATION_MAPPING,
MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING,
MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
MODEL_FOR_MASKED_LM_MAPPING,
MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
Expand All @@ -2916,6 +2919,7 @@
AutoModelForCTC,
AutoModelForImageClassification,
AutoModelForImageSegmentation,
AutoModelForInstanceSegmentation,
AutoModelForMaskedImageModeling,
AutoModelForMaskedLM,
AutoModelForMultipleChoice,
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4 changes: 4 additions & 0 deletions src/transformers/models/auto/__init__.py
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Expand Up @@ -38,6 +38,7 @@
"MODEL_FOR_CTC_MAPPING",
"MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
"MODEL_FOR_IMAGE_SEGMENTATION_MAPPING",
"MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING",
"MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING",
"MODEL_FOR_MASKED_LM_MAPPING",
"MODEL_FOR_MULTIPLE_CHOICE_MAPPING",
Expand All @@ -62,6 +63,7 @@
"AutoModelForCTC",
"AutoModelForImageClassification",
"AutoModelForImageSegmentation",
"AutoModelForInstanceSegmentation",
"AutoModelForMaskedImageModeling",
"AutoModelForMaskedLM",
"AutoModelForMultipleChoice",
Expand Down Expand Up @@ -157,6 +159,7 @@
MODEL_FOR_CTC_MAPPING,
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
MODEL_FOR_IMAGE_SEGMENTATION_MAPPING,
MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING,
MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
MODEL_FOR_MASKED_LM_MAPPING,
MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
Expand All @@ -181,6 +184,7 @@
AutoModelForCTC,
AutoModelForImageClassification,
AutoModelForImageSegmentation,
AutoModelForInstanceSegmentation,
AutoModelForMaskedImageModeling,
AutoModelForMaskedLM,
AutoModelForMultipleChoice,
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1 change: 1 addition & 0 deletions src/transformers/models/auto/feature_extraction_auto.py
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Expand Up @@ -54,6 +54,7 @@
("segformer", "SegformerFeatureExtractor"),
("convnext", "ConvNextFeatureExtractor"),
("poolformer", "PoolFormerFeatureExtractor"),
("maskformer", "MaskFormerFeatureExtractor"),
]
)

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19 changes: 19 additions & 0 deletions src/transformers/models/auto/modeling_auto.py
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Expand Up @@ -314,6 +314,13 @@
]
)

MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING_NAMES = OrderedDict(
[
# Model for Instance Segmentation mapping
("maskformer", "MaskFormerForInstanceSegmentation"),
]
)

MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES = OrderedDict(
[
("vision-encoder-decoder", "VisionEncoderDecoderModel"),
Expand Down Expand Up @@ -648,6 +655,9 @@
MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING = _LazyAutoMapping(
CONFIG_MAPPING_NAMES, MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES
)
MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING = _LazyAutoMapping(
CONFIG_MAPPING_NAMES, MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING_NAMES
)
MODEL_FOR_VISION_2_SEQ_MAPPING = _LazyAutoMapping(CONFIG_MAPPING_NAMES, MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES)
MODEL_FOR_MASKED_LM_MAPPING = _LazyAutoMapping(CONFIG_MAPPING_NAMES, MODEL_FOR_MASKED_LM_MAPPING_NAMES)
MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING = _LazyAutoMapping(
Expand Down Expand Up @@ -802,6 +812,15 @@ class AutoModelForSemanticSegmentation(_BaseAutoModelClass):
)


class AutoModelForInstanceSegmentation(_BaseAutoModelClass):
_model_mapping = MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING


AutoModelForInstanceSegmentation = auto_class_update(
AutoModelForInstanceSegmentation, head_doc="instance segmentation"
)


class AutoModelForObjectDetection(_BaseAutoModelClass):
_model_mapping = MODEL_FOR_OBJECT_DETECTION_MAPPING

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10 changes: 10 additions & 0 deletions src/transformers/utils/dummy_pt_objects.py
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Expand Up @@ -365,6 +365,9 @@ def load_tf_weights_in_albert(*args, **kwargs):
MODEL_FOR_IMAGE_SEGMENTATION_MAPPING = None


MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING = None


MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING = None


Expand Down Expand Up @@ -469,6 +472,13 @@ def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])


class AutoModelForInstanceSegmentation(metaclass=DummyObject):
_backends = ["torch"]

def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])


class AutoModelForMaskedImageModeling(metaclass=DummyObject):
_backends = ["torch"]

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