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Update thinc dependency to 9.0.0.dev4

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This commit is contained in:
Daniël de Kok 2024-01-16 14:54:26 +01:00
parent 7718886fa3
commit 7351f6bbeb
8 changed files with 16 additions and 22 deletions
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2
pyproject.toml
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@ -5,7 +5,7 @@ requires = [
"cymem>=2.0.2,<2.1.0",
"preshed>=3.0.2,<3.1.0",
"murmurhash>=0.28.0,<1.1.0",
"thinc>=9.0.0.dev2,<9.1.0",
"thinc>=9.0.0.dev4,<9.1.0",
"numpy>=1.15.0",
]
build-backend = "setuptools.build_meta"

2
requirements.txt
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@ -3,7 +3,7 @@ spacy-legacy>=4.0.0.dev0,<4.1.0
spacy-loggers>=1.0.0,<2.0.0
cymem>=2.0.2,<2.1.0
preshed>=3.0.2,<3.1.0
thinc>=9.0.0.dev2,<9.1.0
thinc>=9.0.0.dev4,<9.1.0
ml_datasets>=0.2.0,<0.3.0
murmurhash>=0.28.0,<1.1.0
wasabi>=0.9.1,<1.2.0

4
setup.cfg
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@ -37,7 +37,7 @@ setup_requires =
cymem>=2.0.2,<2.1.0
preshed>=3.0.2,<3.1.0
murmurhash>=0.28.0,<1.1.0
thinc>=9.0.0.dev2,<9.1.0
thinc>=9.0.0.dev4,<9.1.0
install_requires =
# Our libraries
spacy-legacy>=4.0.0.dev0,<4.1.0
@ -45,7 +45,7 @@ install_requires =
murmurhash>=0.28.0,<1.1.0
cymem>=2.0.2,<2.1.0
preshed>=3.0.2,<3.1.0
thinc>=9.0.0.dev2,<9.1.0
thinc>=9.0.0.dev4,<9.1.0
wasabi>=0.9.1,<1.2.0
srsly>=2.4.3,<3.0.0
catalogue>=2.0.6,<2.1.0

7
spacy/pipeline/edit_tree_lemmatizer.py
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@ -5,7 +5,6 @@ from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, Union,
import numpy as np
import srsly
from thinc.api import Config, Model, NumpyOps, SequenceCategoricalCrossentropy
from thinc.legacy import LegacySequenceCategoricalCrossentropy
from thinc.types import ArrayXd, Floats2d, Ints1d
from .. import util
@ -131,9 +130,7 @@ class EditTreeLemmatizer(TrainablePipe):
self, examples: Iterable[Example], scores: List[Floats2d]
) -> Tuple[float, List[Floats2d]]:
validate_examples(examples, "EditTreeLemmatizer.get_loss")
loss_func = LegacySequenceCategoricalCrossentropy(
normalize=False, missing_value=-1
)
loss_func = SequenceCategoricalCrossentropy(normalize=False, missing_value=-1)
truths = []
for eg in examples:
@ -169,7 +166,7 @@ class EditTreeLemmatizer(TrainablePipe):
DOCS: https://spacy.io/api/edittreelemmatizer#get_teacher_student_loss
"""
loss_func = LegacySequenceCategoricalCrossentropy(normalize=False)
loss_func = SequenceCategoricalCrossentropy(normalize=False)
d_scores, loss = loss_func(student_scores, teacher_scores)
if self.model.ops.xp.isnan(loss):
raise ValueError(Errors.E910.format(name=self.name))

7
spacy/pipeline/morphologizer.pyx
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@ -2,8 +2,7 @@
from itertools import islice
from typing import Callable, Dict, Iterable, Optional, Union
from thinc.api import Config, Model
from thinc.legacy import LegacySequenceCategoricalCrossentropy
from thinc.api import Config, Model, SequenceCategoricalCrossentropy
from ..morphology cimport Morphology
from ..tokens.doc cimport Doc
@ -296,8 +295,8 @@ class Morphologizer(Tagger):
DOCS: https://spacy.io/api/morphologizer#get_loss
"""
validate_examples(examples, "Morphologizer.get_loss")
loss_func = LegacySequenceCategoricalCrossentropy(names=self.labels, normalize=False,
label_smoothing=self.cfg["label_smoothing"])
loss_func = SequenceCategoricalCrossentropy(names=self.labels, normalize=False,
label_smoothing=self.cfg["label_smoothing"])
truths = []
for eg in examples:
eg_truths = []

5
spacy/pipeline/senter.pyx
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@ -2,8 +2,7 @@
from itertools import islice
from typing import Callable, Iterable, Optional
from thinc.api import Config, Model
from thinc.legacy import LegacySequenceCategoricalCrossentropy
from thinc.api import Config, Model, SequenceCategoricalCrossentropy
from ..tokens.doc cimport Doc
@ -158,7 +157,7 @@ class SentenceRecognizer(Tagger):
"""
validate_examples(examples, "SentenceRecognizer.get_loss")
labels = self.labels
loss_func = LegacySequenceCategoricalCrossentropy(names=labels, normalize=False)
loss_func = SequenceCategoricalCrossentropy(names=labels, normalize=False)
truths = []
for eg in examples:
eg_truth = []

7
spacy/pipeline/tagger.pyx
View File

@ -3,8 +3,7 @@ from itertools import islice
from typing import Callable, Dict, Iterable, List, Optional, Tuple, Union
import numpy
from thinc.api import Config, Model, set_dropout_rate
from thinc.legacy import LegacySequenceCategoricalCrossentropy
from thinc.api import Config, Model, SequenceCategoricalCrossentropy, set_dropout_rate
from thinc.types import Floats2d, Ints1d
from ..tokens.doc cimport Doc
@ -276,7 +275,7 @@ class Tagger(TrainablePipe):
DOCS: https://spacy.io/api/tagger#get_teacher_student_loss
"""
loss_func = LegacySequenceCategoricalCrossentropy(normalize=False)
loss_func = SequenceCategoricalCrossentropy(normalize=False)
d_scores, loss = loss_func(student_scores, teacher_scores)
if self.model.ops.xp.isnan(loss):
raise ValueError(Errors.E910.format(name=self.name))
@ -293,7 +292,7 @@ class Tagger(TrainablePipe):
DOCS: https://spacy.io/api/tagger#get_loss
"""
validate_examples(examples, "Tagger.get_loss")
loss_func = LegacySequenceCategoricalCrossentropy(
loss_func = SequenceCategoricalCrossentropy(
names=self.labels,
normalize=False,
neg_prefix=self.cfg["neg_prefix"],

4
spacy/pipeline/transition_parser.pyx
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@ -21,13 +21,13 @@ from thinc.api import (
CupyOps,
NumpyOps,
Optimizer,
SequenceCategoricalCrossentropy,
chain,
get_ops,
set_dropout_rate,
softmax_activation,
use_ops,
)
from thinc.legacy import LegacySequenceCategoricalCrossentropy
from thinc.types import Floats2d
from ..ml.parser_model cimport (
@ -349,7 +349,7 @@ cdef class Parser(TrainablePipe):
DOCS: https://spacy.io/api/dependencyparser#get_teacher_student_loss
"""
loss_func = LegacySequenceCategoricalCrossentropy(normalize=False)
loss_func = SequenceCategoricalCrossentropy(normalize=False)
d_scores, loss = loss_func(student_scores, teacher_scores)
if self.model.ops.xp.isnan(loss):
raise ValueError(Errors.E910.format(name=self.name))