python_code stringlengths 0 187k | repo_name stringlengths 8 46 | file_path stringlengths 6 135 |
|---|---|---|
import logging
from typing import Dict, List, Iterable
from allennlp.data.dataset_readers.dataset_utils import to_bioul
from allennlp.common.file_utils import cached_path
from allennlp.common.checks import ConfigurationError
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp.data.fi... | allennlp-models-main | allennlp_models/tagging/dataset_readers/ontonotes_ner.py |
from typing import Dict, List, Optional, Sequence, Iterable
import itertools
import logging
import warnings
from allennlp.common.checks import ConfigurationError
from allennlp.common.file_utils import cached_path
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp.data.dataset_readers... | allennlp-models-main | allennlp_models/tagging/dataset_readers/conll2000.py |
from allennlp_models.tagging.predictors.sentence_tagger import SentenceTaggerPredictor
| allennlp-models-main | allennlp_models/tagging/predictors/__init__.py |
from allennlp.predictors.sentence_tagger import SentenceTaggerPredictor # noqa: F401
# This component lives in the main repo because we need it there for tests.
| allennlp-models-main | allennlp_models/tagging/predictors/sentence_tagger.py |
from typing import Dict, Optional, List, Any, cast
import torch
from torch.nn.modules.linear import Linear
from allennlp.common.checks import check_dimensions_match, ConfigurationError
from allennlp.data import TextFieldTensors, Vocabulary
from allennlp.modules import Seq2SeqEncoder, TimeDistributed, TextFieldEmbedd... | allennlp-models-main | allennlp_models/tagging/models/crf_tagger.py |
from allennlp_models.tagging.models.crf_tagger import CrfTagger
| allennlp-models-main | allennlp_models/tagging/models/__init__.py |
from typing import DefaultDict, List, Optional, Iterator, Set, Tuple
from collections import defaultdict
import codecs
import os
import logging
from allennlp.data.dataset_readers.dataset_utils.span_utils import TypedSpan
from nltk import Tree
logger = logging.getLogger(__name__)
class OntonotesSentence:
"""
... | allennlp-models-main | allennlp_models/common/ontonotes.py |
allennlp-models-main | allennlp_models/common/__init__.py | |
allennlp-models-main | allennlp_models/mc/__init__.py | |
import logging
from allennlp.data import DatasetReader
from allennlp_models.mc.dataset_readers.transformer_mc import TransformerMCReader
logger = logging.getLogger(__name__)
@DatasetReader.register("commonsenseqa")
class CommonsenseQaReader(TransformerMCReader):
"""
Reads the input data for the Commonsens... | allennlp-models-main | allennlp_models/mc/dataset_readers/commonsenseqa.py |
import logging
from allennlp.data import DatasetReader
from allennlp_models.mc.dataset_readers.transformer_mc import TransformerMCReader
logger = logging.getLogger(__name__)
@DatasetReader.register("swag")
class SwagReader(TransformerMCReader):
"""
Reads the input data for the SWAG dataset (https://arxiv.... | allennlp-models-main | allennlp_models/mc/dataset_readers/swag.py |
import logging
from typing import List
from allennlp.data import DatasetReader, Instance
logger = logging.getLogger(__name__)
@DatasetReader.register("fake")
class FakeReader(DatasetReader):
"""
Creates fake multiple-choice input. If your model doesn't get 99% on this data, it is broken.
Instances hav... | allennlp-models-main | allennlp_models/mc/dataset_readers/fake.py |
from allennlp_models.mc.dataset_readers.swag import SwagReader
from allennlp_models.mc.dataset_readers.commonsenseqa import CommonsenseQaReader
from allennlp_models.mc.dataset_readers.piqa import PiqaReader
| allennlp-models-main | allennlp_models/mc/dataset_readers/__init__.py |
import logging
from allennlp.data import DatasetReader
from allennlp_models.mc.dataset_readers.piqa import PiqaReader
from allennlp_models.mc.dataset_readers.transformer_mc_tt import (
TransformerMCReaderTransformerToolkit,
)
logger = logging.getLogger(__name__)
@DatasetReader.register("piqa_tt")
class PiqaRea... | allennlp-models-main | allennlp_models/mc/dataset_readers/piqa_tt.py |
import itertools
import logging
from typing import List, Optional
import torch
from allennlp.common import cached_transformers
from allennlp.data import DatasetReader, Instance
from allennlp.data.fields import TransformerTextField
logger = logging.getLogger(__name__)
class TransformerMCReaderTransformerToolkit(Dat... | allennlp-models-main | allennlp_models/mc/dataset_readers/transformer_mc_tt.py |
import logging
from allennlp.data import DatasetReader
from allennlp_models.mc.dataset_readers.transformer_mc import TransformerMCReader
logger = logging.getLogger(__name__)
@DatasetReader.register("piqa")
class PiqaReader(TransformerMCReader):
"""
Reads the input data for the PIQA dataset (https://arxiv.... | allennlp-models-main | allennlp_models/mc/dataset_readers/piqa.py |
import logging
from typing import List, Optional
from allennlp.data import DatasetReader, Instance
logger = logging.getLogger(__name__)
class TransformerMCReader(DatasetReader):
"""
Read input data for the TransformerMC model. This is the base class for all readers that produce
data for TransformerMC.
... | allennlp-models-main | allennlp_models/mc/dataset_readers/transformer_mc.py |
from allennlp_models.mc.predictors.transformer_mc import TransformerMCPredictor
| allennlp-models-main | allennlp_models/mc/predictors/__init__.py |
from typing import List
from allennlp.common.util import JsonDict
from allennlp.data import Instance
from allennlp.predictors.predictor import Predictor
@Predictor.register("transformer_mc")
class TransformerMCPredictor(Predictor):
"""
Predictor for the :class:`~allennlp_models.mc.models.TransformerMC` mode... | allennlp-models-main | allennlp_models/mc/predictors/transformer_mc.py |
from allennlp_models.mc.models.transformer_mc import TransformerMC
from allennlp_models.mc.models.transformer_mc_tt import TransformerMCTransformerToolkit
| allennlp-models-main | allennlp_models/mc/models/__init__.py |
import logging
from typing import Dict, List, Optional
import torch
from allennlp.data import Vocabulary
from allennlp.models import Model
from allennlp.modules.transformer import TransformerEmbeddings, TransformerStack, TransformerPooler
from torch.nn import Dropout
logger = logging.getLogger(__name__)
@Model.regi... | allennlp-models-main | allennlp_models/mc/models/transformer_mc_tt.py |
import logging
from typing import Dict, List, Optional
import torch
from allennlp.data import Vocabulary, TextFieldTensors
from allennlp.models import Model
logger = logging.getLogger(__name__)
@Model.register("transformer_mc")
class TransformerMC(Model):
"""
This class implements a multiple choice model pa... | allennlp-models-main | allennlp_models/mc/models/transformer_mc.py |
# flake8: noqa: F403
from allennlp_models.rc.models import *
from allennlp_models.rc.predictors import *
from allennlp_models.rc.dataset_readers import *
from allennlp_models.rc.modules import *
| allennlp-models-main | allennlp_models/rc/__init__.py |
from allennlp_models.rc.metrics.drop_em_and_f1 import DropEmAndF1
from allennlp_models.rc.metrics.squad_em_and_f1 import SquadEmAndF1
| allennlp-models-main | allennlp_models/rc/metrics/__init__.py |
from typing import Tuple, Union, List, cast
from allennlp.nn.util import dist_reduce_sum
from allennlp.training.metrics.metric import Metric
from allennlp_models.rc.tools import squad
@Metric.register("squad")
class SquadEmAndF1(Metric):
"""
This :class:`Metric` takes the best span string computed by a mod... | allennlp-models-main | allennlp_models/rc/metrics/squad_em_and_f1.py |
from typing import Tuple, List, Union
from allennlp.nn.util import dist_reduce_sum
from allennlp.training.metrics.metric import Metric
from allennlp_models.rc.tools.drop import (
get_metrics as drop_em_and_f1,
answer_json_to_strings,
)
from allennlp_models.rc.tools.squad import metric_max_over_ground_truths... | allennlp-models-main | allennlp_models/rc/metrics/drop_em_and_f1.py |
"""
This evaluation script relies heavily on the one for DROP (``allennlp/tools/drop_eval.py``). We need a separate
script for Quoref only because the data formats are slightly different.
"""
import json
from typing import Dict, Tuple, List, Any, Optional
import argparse
import numpy as np
from allennlp_models.rc.too... | allennlp-models-main | allennlp_models/rc/tools/quoref.py |
"""Official evaluation script for ORB.
Usage:
python evaluation_script.py
--dataset_file <file_path>
--prediction_file <file_path>
--metrics_output_file <file_path>
"""
# pylint: disable=unused-import
from __future__ import absolute_import
from __future__ import division
from __future__ impor... | allennlp-models-main | allennlp_models/rc/tools/orb.py |
allennlp-models-main | allennlp_models/rc/tools/__init__.py | |
"""Functions taken from [the official evaluation script]
(https://worksheets.codalab.org/rest/bundles/0x6b567e1cf2e041ec80d7098f031c5c9e/contents/blob/)
for SQuAD version 2.0.
"""
import collections
import re
import string
from typing import Callable, Sequence, TypeVar, Tuple
def make_qid_to_has_ans(dataset):
qi... | allennlp-models-main | allennlp_models/rc/tools/squad.py |
from typing import List, Tuple
from allennlp_models.rc.tools.squad import get_metric_score as get_metric_squad
from allennlp_models.rc.tools.drop import get_metrics as drop_metrics
from allennlp_models.rc.tools.narrativeqa import get_metric_score as get_metric_narrativeqa
def get_metric_drop(predicted: str, ground_tr... | allennlp-models-main | allennlp_models/rc/tools/orb_utils.py |
""" Evaluation script for NarrativeQA dataset. """
import nltk
try:
nltk.data.find("tokenizers/punkt")
except LookupError:
nltk.download("punkt")
nltk.download("wordnet")
import rouge
from nltk.translate.bleu_score import sentence_bleu
from nltk.tokenize import word_tokenize
from nltk.translate.meteor_sc... | allennlp-models-main | allennlp_models/rc/tools/narrativeqa.py |
import json
import logging
import time
from typing import Iterable, List, Set
from allennlp.common.checks import check_for_gpu
from allennlp.data import Instance
from allennlp.predictors import Predictor
from tqdm import tqdm
from allennlp_models.rc.metrics import SquadEmAndF1
logger = logging.getLogger(__name__)
... | allennlp-models-main | allennlp_models/rc/tools/transformer_qa_eval.py |
#!/usr/bin/python
from collections import defaultdict
from typing import Any, Dict, List, Set, Tuple, Union, Optional
import json
import argparse
import string
import re
import numpy as np
from scipy.optimize import linear_sum_assignment
# From here through _normalize_answer was originally copied from:
# https://wo... | allennlp-models-main | allennlp_models/rc/tools/drop.py |
import json
import logging
from typing import Dict, List
from allennlp.common.file_utils import cached_path
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp.data.instance import Instance
from allennlp.data.fields import Field, TextField, ListField, MetadataField, IndexField
from a... | allennlp-models-main | allennlp_models/rc/dataset_readers/qangaroo.py |
import json
import logging
from typing import Any, Dict, List, Tuple, Optional, Iterable
from allennlp.common.util import sanitize_wordpiece
from allennlp.data.fields import MetadataField, TextField, SpanField, IndexField
from allennlp.common.file_utils import cached_path, open_compressed
from allennlp.data.dataset_r... | allennlp-models-main | allennlp_models/rc/dataset_readers/transformer_squad.py |
"""
Dataset reader for SuperGLUE's Reading Comprehension with Commonsense Reasoning task (Zhang Et
al. 2018).
Reader Implemented by Gabriel Orlanski
"""
import logging
from typing import Dict, List, Optional, Iterable, Union, Tuple, Any
from pathlib import Path
from allennlp.common.util import sanitize_wordpiece
from... | allennlp-models-main | allennlp_models/rc/dataset_readers/record_reader.py |
from allennlp_models.rc.dataset_readers.drop import DropReader
from allennlp_models.rc.dataset_readers.qangaroo import QangarooReader
from allennlp_models.rc.dataset_readers.quac import QuACReader
from allennlp_models.rc.dataset_readers.squad import SquadReader
from allennlp_models.rc.dataset_readers.transformer_squad ... | allennlp-models-main | allennlp_models/rc/dataset_readers/__init__.py |
import json
import logging
from typing import Any, Dict, List, Tuple, Optional, Iterable
from allennlp.common.file_utils import cached_path
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp.data.instance import Instance
from allennlp.data.token_indexers import SingleIdTokenIndexer, T... | allennlp-models-main | allennlp_models/rc/dataset_readers/squad.py |
"""
Utilities for reading comprehension dataset readers.
"""
from collections import Counter, defaultdict
import logging
import string
from typing import Any, Dict, List, Tuple, Optional, Union
from allennlp.data.fields import (
Field,
TextField,
IndexField,
MetadataField,
LabelField,
ListFiel... | allennlp-models-main | allennlp_models/rc/dataset_readers/utils.py |
import json
import logging
from typing import Any, Dict, List, Tuple, Union
from allennlp.common.file_utils import cached_path
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp.data.instance import Instance
from allennlp.data.token_indexers import SingleIdTokenIndexer, TokenIndexer
f... | allennlp-models-main | allennlp_models/rc/dataset_readers/quac.py |
import itertools
import json
import logging
import string
from collections import defaultdict
from typing import Dict, List, Union, Tuple, Any
from word2number.w2n import word_to_num
from allennlp.common.file_utils import cached_path
from allennlp.data.fields import (
Field,
TextField,
MetadataField,
... | allennlp-models-main | allennlp_models/rc/dataset_readers/drop.py |
import json
import logging
import os
import tarfile
from typing import Dict, List, Tuple
from allennlp.common.file_utils import cached_path
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp.data.instance import Instance
from allennlp.data.token_indexers import SingleIdTokenIndexer, ... | allennlp-models-main | allennlp_models/rc/dataset_readers/triviaqa.py |
import json
from allennlp.common.util import JsonDict
from allennlp.data import DatasetReader, Instance
from allennlp.data.tokenizers.spacy_tokenizer import SpacyTokenizer
from allennlp.predictors.predictor import Predictor
from allennlp.models import Model
@Predictor.register("dialog_qa")
class DialogQAPredictor(P... | allennlp-models-main | allennlp_models/rc/predictors/dialog_qa.py |
from allennlp_models.rc.predictors.bidaf import ReadingComprehensionPredictor
from allennlp_models.rc.predictors.dialog_qa import DialogQAPredictor
from allennlp_models.rc.predictors.transformer_qa import TransformerQAPredictor
| allennlp-models-main | allennlp_models/rc/predictors/__init__.py |
from typing import Dict, List
import numpy
from allennlp.common.util import JsonDict
from allennlp.data import Instance
from allennlp.predictors.predictor import Predictor
from allennlp.data.fields import (
IndexField,
ListField,
LabelField,
SpanField,
SequenceLabelField,
SequenceField,
)
@... | allennlp-models-main | allennlp_models/rc/predictors/bidaf.py |
import logging
from typing import List, Dict, Any, Optional
import numpy
from allennlp.models import Model
from allennlp.common.util import JsonDict, sanitize
from allennlp.data import Instance, DatasetReader
from allennlp.predictors.predictor import Predictor
from allennlp.data.fields import SpanField
logger = lo... | allennlp-models-main | allennlp_models/rc/predictors/transformer_qa.py |
import logging
from typing import Any, Dict, List, Optional
import numpy as np
import torch
import torch.nn.functional as F
from torch.nn.functional import nll_loss
from allennlp.common.checks import check_dimensions_match
from allennlp.data import Vocabulary
from allennlp.models.model import Model
from allennlp.modu... | allennlp-models-main | allennlp_models/rc/models/dialog_qa.py |
from typing import Any, Dict, List, Optional
import torch
from torch.nn.functional import nll_loss
from allennlp.data import Vocabulary
from allennlp.models.model import Model
from allennlp.modules import Highway
from allennlp.modules import Seq2SeqEncoder, TextFieldEmbedder
from allennlp.modules.matrix_attention.mat... | allennlp-models-main | allennlp_models/rc/models/qanet.py |
from allennlp_models.rc.models.bidaf_ensemble import BidafEnsemble
from allennlp_models.rc.models.bidaf import BidirectionalAttentionFlow
from allennlp_models.rc.models.dialog_qa import DialogQA
from allennlp_models.rc.models.naqanet import NumericallyAugmentedQaNet
from allennlp_models.rc.models.qanet import QaNet
fro... | allennlp-models-main | allennlp_models/rc/models/__init__.py |
import logging
from typing import Any, Dict, List, Optional
import torch
from torch.nn.functional import nll_loss
from allennlp.common.checks import check_dimensions_match
from allennlp.data import Vocabulary
from allennlp.models.model import Model
from allennlp.modules import Highway
from allennlp.modules import Seq... | allennlp-models-main | allennlp_models/rc/models/bidaf.py |
from typing import Dict, List, Any, Optional
import torch
from allennlp.common.checks import ConfigurationError
from allennlp.models.archival import load_archive
from allennlp.models.model import Model, remove_weights_related_keys_from_params
from allennlp.common import Params
from allennlp.data import Vocabulary
f... | allennlp-models-main | allennlp_models/rc/models/bidaf_ensemble.py |
import torch
from allennlp.nn.util import replace_masked_values, min_value_of_dtype
def get_best_span(span_start_logits: torch.Tensor, span_end_logits: torch.Tensor) -> torch.Tensor:
"""
This acts the same as the static method ``BidirectionalAttentionFlow.get_best_span()``
in ``allennlp/models/reading_co... | allennlp-models-main | allennlp_models/rc/models/utils.py |
from typing import Any, Dict, List, Optional
import logging
import torch
from allennlp.data import Vocabulary
from allennlp.models.model import Model
from allennlp.modules import Highway
from allennlp.nn.activations import Activation
from allennlp.modules.feedforward import FeedForward
from allennlp.modules import Se... | allennlp-models-main | allennlp_models/rc/models/naqanet.py |
import logging
from typing import Any, Dict, List, Optional, Tuple
import numpy as np
import torch
from torch import nn
from torch.nn.functional import cross_entropy
from torch.nn.functional import softmax
from allennlp.common.util import sanitize_wordpiece
from allennlp.modules.text_field_embedders import BasicTextF... | allennlp-models-main | allennlp_models/rc/models/transformer_qa.py |
# flake8: noqa: F403
from allennlp_models.rc.modules.seq2seq_encoders import *
| allennlp-models-main | allennlp_models/rc/modules/__init__.py |
from typing import List
import torch
from torch.nn import Dropout
from allennlp.modules.feedforward import FeedForward
from allennlp.modules.layer_norm import LayerNorm
from allennlp.modules.seq2seq_encoders.seq2seq_encoder import Seq2SeqEncoder
from allennlp.nn.activations import Activation
from allennlp.nn.util im... | allennlp-models-main | allennlp_models/rc/modules/seq2seq_encoders/stacked_self_attention.py |
from allennlp_models.rc.modules.seq2seq_encoders.multi_head_self_attention import (
MultiHeadSelfAttention,
)
from allennlp_models.rc.modules.seq2seq_encoders.qanet_encoder import QaNetEncoder
from allennlp_models.rc.modules.seq2seq_encoders.stacked_self_attention import (
StackedSelfAttentionEncoder,
)
| allennlp-models-main | allennlp_models/rc/modules/seq2seq_encoders/__init__.py |
import torch
from torch.nn import Dropout, Linear
from allennlp.nn.util import masked_softmax, weighted_sum
from allennlp.modules.seq2seq_encoders.seq2seq_encoder import Seq2SeqEncoder
# exist_ok has to be true until we remove this from the core library
@Seq2SeqEncoder.register("multi_head_self_attention", exist_ok=... | allennlp-models-main | allennlp_models/rc/modules/seq2seq_encoders/multi_head_self_attention.py |
import torch
from torch.nn import Dropout
from torch.nn import LayerNorm
from torch.nn import ModuleList
from allennlp.modules.feedforward import FeedForward
from allennlp.modules.residual_with_layer_dropout import ResidualWithLayerDropout
from allennlp.modules.seq2seq_encoders.seq2seq_encoder import Seq2SeqEncoder
fro... | allennlp-models-main | allennlp_models/rc/modules/seq2seq_encoders/qanet_encoder.py |
# flake8: noqa: F403
from allennlp_models.generation.modules import *
from allennlp_models.generation.predictors import *
from allennlp_models.generation.models import *
from allennlp_models.generation.dataset_readers import *
| allennlp-models-main | allennlp_models/generation/__init__.py |
import logging
from typing import List, Dict
import warnings
import torch
from allennlp.common.file_utils import cached_path
from allennlp.common.util import START_SYMBOL, END_SYMBOL
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp.data.fields import TextField, TensorField, Metada... | allennlp-models-main | allennlp_models/generation/dataset_readers/copynet_seq2seq.py |
from allennlp_models.generation.dataset_readers.copynet_seq2seq import CopyNetDatasetReader
from allennlp_models.generation.dataset_readers.seq2seq import Seq2SeqDatasetReader
from allennlp_models.generation.dataset_readers.cnn_dm import CNNDailyMailDatasetReader
| allennlp-models-main | allennlp_models/generation/dataset_readers/__init__.py |
from pathlib import Path
from typing import Dict, Optional, List
import logging
import os
import glob
import hashlib
import ftfy
from allennlp.common.checks import ConfigurationError
from allennlp.common.file_utils import cached_path
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp... | allennlp-models-main | allennlp_models/generation/dataset_readers/cnn_dm.py |
import csv
from typing import Dict, Optional
import logging
import copy
from allennlp.common.checks import ConfigurationError
from allennlp.common.file_utils import cached_path
from allennlp.common.util import START_SYMBOL, END_SYMBOL
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennl... | allennlp-models-main | allennlp_models/generation/dataset_readers/seq2seq.py |
from allennlp_models.generation.predictors.seq2seq import Seq2SeqPredictor
| allennlp-models-main | allennlp_models/generation/predictors/__init__.py |
from allennlp.common.util import JsonDict
from allennlp.data import Instance
from allennlp.predictors.predictor import Predictor
@Predictor.register("seq2seq")
class Seq2SeqPredictor(Predictor):
"""
Predictor for sequence to sequence models, including
- [`ComposedSeq2Seq`](../models/composed_seq2seq.md),... | allennlp-models-main | allennlp_models/generation/predictors/seq2seq.py |
import warnings
from typing import Dict, List, Tuple, Iterable, Any
import numpy
import torch
import torch.nn.functional as F
from torch.nn.modules.linear import Linear
from torch.nn.modules.rnn import LSTMCell, LSTM
from allennlp.common.util import START_SYMBOL, END_SYMBOL
from allennlp.data import TextFieldTensors... | allennlp-models-main | allennlp_models/generation/models/simple_seq2seq.py |
from os import PathLike
from typing import Optional, Dict, Any, Union, List, Tuple
import torch
from allennlp.common.lazy import Lazy
from allennlp.data import TextFieldTensors, Vocabulary
from allennlp.data.tokenizers import PretrainedTransformerTokenizer
from allennlp.models.model import Model
from allennlp.module... | allennlp-models-main | allennlp_models/generation/models/t5.py |
import warnings
from typing import Dict, Tuple, Any, cast
from allennlp.data import Vocabulary
from allennlp.data.fields.text_field import TextFieldTensors
from allennlp.data.token_indexers.pretrained_transformer_indexer import PretrainedTransformerIndexer
from allennlp.models.model import Model
from allennlp.modules... | allennlp-models-main | allennlp_models/generation/models/bart.py |
import logging
import warnings
from typing import Any, Dict, List, Tuple, Union
import numpy
import torch
from allennlp.common.lazy import Lazy
from allennlp.common.util import END_SYMBOL, START_SYMBOL
from allennlp.data import TextFieldTensors, Vocabulary
from allennlp.models.model import Model
from allennlp.modules ... | allennlp-models-main | allennlp_models/generation/models/copynet_seq2seq.py |
from allennlp_models.generation.models.composed_seq2seq import ComposedSeq2Seq
from allennlp_models.generation.models.copynet_seq2seq import CopyNetSeq2Seq
from allennlp_models.generation.models.simple_seq2seq import SimpleSeq2Seq
from allennlp_models.generation.models.bart import Bart
from allennlp_models.generation.m... | allennlp-models-main | allennlp_models/generation/models/__init__.py |
from typing import Dict, Optional
import torch
from allennlp.common.checks import ConfigurationError
from allennlp.data import TextFieldTensors, Vocabulary
from allennlp.models.model import Model
from allennlp.modules import TextFieldEmbedder, Seq2SeqEncoder, Embedding
from allennlp.modules.text_field_embedders impo... | allennlp-models-main | allennlp_models/generation/models/composed_seq2seq.py |
# flake8: noqa: F403
from allennlp_models.generation.modules.decoder_nets import *
from allennlp_models.generation.modules.seq_decoders import *
| allennlp-models-main | allennlp_models/generation/modules/__init__.py |
from allennlp_models.generation.modules.seq_decoders.auto_regressive import AutoRegressiveSeqDecoder
from allennlp_models.generation.modules.seq_decoders.seq_decoder import SeqDecoder
| allennlp-models-main | allennlp_models/generation/modules/seq_decoders/__init__.py |
import warnings
from typing import Dict, List, Tuple, Optional
import numpy
import torch
import torch.nn.functional as F
from torch.nn import Linear
from allennlp.common.checks import ConfigurationError
from allennlp.common.util import END_SYMBOL, START_SYMBOL
from allennlp.data import TextFieldTensors, Vocabulary
f... | allennlp-models-main | allennlp_models/generation/modules/seq_decoders/auto_regressive.py |
from typing import Dict, Optional
import torch
from torch.nn import Module
from allennlp.common import Registrable
from allennlp.modules import Embedding
class SeqDecoder(Module, Registrable):
"""
A `SeqDecoder` abstract class representing the entire decoder (embedding and neural network) of
a Seq2Seq a... | allennlp-models-main | allennlp_models/generation/modules/seq_decoders/seq_decoder.py |
from typing import Tuple, Dict, Optional
import torch
from allennlp.common import Registrable
class DecoderNet(torch.nn.Module, Registrable):
"""
This class abstracts the neural architectures for decoding the encoded states and
embedded previous step prediction vectors into a new sequence of output vecto... | allennlp-models-main | allennlp_models/generation/modules/decoder_nets/decoder_net.py |
import math
from copy import deepcopy
from typing import Dict, Optional, Tuple
import torch
import torch.nn.functional as F
from torch import nn
from torch.autograd import Variable
from allennlp.modules.layer_norm import LayerNorm
from allennlp.nn import util as nn_util
from allennlp_models.lm.modules.seq2seq_encod... | allennlp-models-main | allennlp_models/generation/modules/decoder_nets/stacked_self_attention.py |
from allennlp_models.generation.modules.decoder_nets.lstm_cell import LstmCellDecoderNet
from allennlp_models.generation.modules.decoder_nets.decoder_net import DecoderNet
from allennlp_models.generation.modules.decoder_nets.stacked_self_attention import (
StackedSelfAttentionDecoderNet,
)
| allennlp-models-main | allennlp_models/generation/modules/decoder_nets/__init__.py |
from typing import Tuple, Dict, Optional
import torch
from torch.nn import LSTMCell
from allennlp.modules import Attention
from allennlp.nn import util
from .decoder_net import DecoderNet
@DecoderNet.register("lstm_cell")
class LstmCellDecoderNet(DecoderNet):
"""
This decoder net implements simple decodin... | allennlp-models-main | allennlp_models/generation/modules/decoder_nets/lstm_cell.py |
from typing import Any, Dict, List, Optional, Tuple, Set
from allennlp.data.fields import (
Field,
ListField,
TextField,
SpanField,
MetadataField,
SequenceLabelField,
)
from allennlp.data.instance import Instance
from allennlp.data.tokenizers import Token, PretrainedTransformerTokenizer
from al... | allennlp-models-main | allennlp_models/coref/util.py |
"""
Coreference resolution is defined as follows: given a document, find and cluster entity mentions.
"""
from allennlp_models.coref.dataset_readers.conll import ConllCorefReader
from allennlp_models.coref.dataset_readers.preco import PrecoReader
from allennlp_models.coref.dataset_readers.winobias import WinobiasReade... | allennlp-models-main | allennlp_models/coref/__init__.py |
from typing import Any, Dict, List, Set, Tuple
import torch
from allennlp.nn.util import dist_reduce_sum
from allennlp.training.metrics.metric import Metric
@Metric.register("mention_recall")
class MentionRecall(Metric):
def __init__(self) -> None:
self._num_gold_mentions = 0
self._num_recalled... | allennlp-models-main | allennlp_models/coref/metrics/mention_recall.py |
allennlp-models-main | allennlp_models/coref/metrics/__init__.py | |
from typing import Any, Dict, List, Tuple
from collections import Counter
from scipy.optimize import linear_sum_assignment
import numpy as np
import torch
from allennlp.nn.util import dist_reduce_sum
from allennlp.training.metrics.metric import Metric
@Metric.register("conll_coref_scores")
class ConllCorefScores(... | allennlp-models-main | allennlp_models/coref/metrics/conll_coref_scores.py |
import logging
import collections
from typing import Dict, List, Optional, Tuple, DefaultDict
from allennlp.common.file_utils import cached_path
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp.data.instance import Instance
from allennlp.data.tokenizers import PretrainedTransformer... | allennlp-models-main | allennlp_models/coref/dataset_readers/conll.py |
allennlp-models-main | allennlp_models/coref/dataset_readers/__init__.py | |
import json
import logging
from typing import Dict, List, Optional, Tuple
from allennlp.common.file_utils import cached_path
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp.data.instance import Instance
from allennlp.data.tokenizers import PretrainedTransformerTokenizer
from allen... | allennlp-models-main | allennlp_models/coref/dataset_readers/preco.py |
import logging
import collections
from typing import Any, Dict, List, Optional, Tuple, DefaultDict
from allennlp.common.file_utils import cached_path
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp.data.fields import (
Field,
ListField,
TextField,
SpanField,
Me... | allennlp-models-main | allennlp_models/coref/dataset_readers/winobias.py |
from typing import List, Dict
from spacy.tokens import Doc
import numpy
from allennlp.common.util import JsonDict
from allennlp.common.util import get_spacy_model
from allennlp.data import DatasetReader, Instance
from allennlp.data.fields import ListField, SequenceLabelField
from allennlp.models import Model
from al... | allennlp-models-main | allennlp_models/coref/predictors/coref.py |
allennlp-models-main | allennlp_models/coref/predictors/__init__.py | |
import logging
import math
from typing import Any, Dict, List, Tuple
import torch
import torch.nn.functional as F
from allennlp.data import TextFieldTensors, Vocabulary
from allennlp.models.model import Model
from allennlp.modules.token_embedders import Embedding
from allennlp.modules import FeedForward, GatedSum
fr... | allennlp-models-main | allennlp_models/coref/models/coref.py |
from allennlp_models.coref.models.coref import CoreferenceResolver
| allennlp-models-main | allennlp_models/coref/models/__init__.py |
from pathlib import Path
from glob import glob
import os
from typing import Dict, Tuple, Set
import pytest
from tests import FIXTURES_ROOT
from allennlp.commands.train import TrainModel
from allennlp.common.testing import AllenNlpTestCase
from allennlp.common.params import Params
from allennlp.common.plugins import i... | allennlp-models-main | tests/training_config_test.py |
import pathlib
PROJECT_ROOT = (pathlib.Path(__file__).parent / "..").resolve() # pylint: disable=no-member
TESTS_ROOT = PROJECT_ROOT / "tests"
FIXTURES_ROOT = PROJECT_ROOT / "test_fixtures"
| allennlp-models-main | tests/__init__.py |
from allennlp_models import version
class TestVersion:
def test_version_exists(self):
assert version.VERSION.startswith(version.VERSION_SHORT)
| allennlp-models-main | tests/version_test.py |
from typing import Dict, List
import pytest
import spacy
from allennlp.common.testing import AllenNlpTestCase
from allennlp_models.pretrained import get_pretrained_models, get_tasks, load_predictor
# But default we don't run these tests
@pytest.mark.pretrained_model_test
class TestAllenNlpPretrainedModels(AllenNlpTe... | allennlp-models-main | tests/pretrained_test.py |
allennlp-models-main | tests/classification/__init__.py | |
allennlp-models-main | tests/classification/dataset_readers/__init__.py |
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