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Update pytorch ie 0.17.0 #48

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Merged
ArneBinder merged 4 commits into from
Jul 28, 2023
Merged

Update pytorch ie 0.17.0 #48

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a487548
update pytorch-ie to 0.17.0
ArneBinder Jul 28, 2023
349c498
use remove DatasetDict and import it from pytorch-ie
ArneBinder Jul 28, 2023
026c8b7
remove conll2003_extract fixture data
ArneBinder Jul 28, 2023
b8d5944
use target_layer property
ArneBinder Jul 28, 2023
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2 changes: 1 addition & 1 deletion setup.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
from setuptools import find_packages, setup

REQUIRED_PKGS = [
"pytorch-ie>=0.16.0,<1.0.0",
"pytorch-ie>=0.17.0,<1.0.0",
"asciidag", # for visualization
]

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1 change: 0 additions & 1 deletion src/pie_utils/__init__.py
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@@ -1 +0,0 @@
from .dataset_dict import DatasetDict
318 changes: 0 additions & 318 deletions src/pie_utils/dataset_dict.py
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This file was deleted.

18 changes: 2 additions & 16 deletions src/pie_utils/document/processors/candidate_relation_adder.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,6 @@
from pytorch_ie import Dataset, IterableDataset
from pytorch_ie.annotations import BinaryRelation
from pytorch_ie.core import AnnotationList, Document
from pytorch_ie.core.document import BaseAnnotationList
from pytorch_ie.utils.span import is_contained_in

from pie_utils.document.processors.common import EnterDatasetMixin, ExitDatasetMixin
Expand All @@ -20,14 +19,6 @@
D = TypeVar("D", bound=Document)


def target_layers(layer: BaseAnnotationList) -> dict[str, AnnotationList]:
return {
target_layer_name: layer._document[target_layer_name]
for target_layer_name in layer._targets
if target_layer_name in layer._document
}


class CandidateRelationAdder(EnterDatasetMixin, ExitDatasetMixin):
"""CandidateRelationAdder adds binary relations to a document based on various parameters. It
goes through combinations of available entity pairs as possible candidates for new relations.
Expand Down Expand Up @@ -149,13 +140,8 @@ def __call__(self, document: D) -> D:
available_partitions = document[self.partition_layer]
else:
available_partitions = [None]
rel_target_layers = target_layers(layer=rel_layer)
if not len(rel_target_layers) == 1:
raise ValueError(
f"Relation layer must have exactly one target layer but found the following target layers: "
f"{list(rel_target_layers)}"
)
entity_layer = list(rel_target_layers.values())[0]

entity_layer = rel_layer.target_layer
if self.use_predictions:
entity_layer = entity_layer.predictions

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