python_code stringlengths 0 992k | repo_name stringlengths 8 46 | file_path stringlengths 5 162 |
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# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from multiprocessing import Pool
import numpy as np
from fairseq import options
from fairseq.data import dictionary
from fairseq.... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/noisychannel/rerank.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from fairseq import options
def get_reranking_parser(default_task="translation"):
parser = options.get_parser("Generation and reranking"... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/noisychannel/rerank_options.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import random
import numpy as np
from fairseq import options
from examples.noisychannel import rerank, rerank_options
def ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/noisychannel/rerank_tune.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from .rerank_options import * # noqa
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/noisychannel/__init__.py |
#!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Generate n-best translations using a trained model.
"""
import os
import subprocess
from contextlib import redi... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/noisychannel/rerank_generate.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import os
import re
import subprocess
from contextlib import redirect_stdout
from fairseq import options
from fairseq_cli import ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/noisychannel/rerank_utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
from fairseq import options
from examples.noisychannel import rerank_options, rerank_utils
def score_lm(args):
using_nbest =... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/noisychannel/rerank_score_lm.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
from contextlib import redirect_stdout
from fairseq import options
from fairseq_cli import generate
from examples.noisychannel imp... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/noisychannel/rerank_score_bw.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
from itertools import zip_longest
def replace_oovs(source_in, target_in, vocabulary, source_out, targ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/pointer_generator/preprocess.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import re
import sys
class OOVIndexError(IndexError):
def __init__(self, pos, source_seq, target_... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/pointer_generator/postprocess.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from typing import Any, Dict, Optional
import torch
import torch.nn as nn
from fairseq import metrics, utils
from fairseq.mode... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/pointer_generator/pointer_generator_src/transformer_pg.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from . import transformer_pg # noqa
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/pointer_generator/pointer_generator_src/__init__.py |
#!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import fileinput
from tqdm import tqdm
def main():
parser = argparse.ArgumentParser(
desc... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/backtranslation/extract_bt_data.py |
#!/usr/bin/python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import fileinput
import hashlib
import sys
from multiprocessing import Pool
def get_hashes_and_lines(raw_... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/backtranslation/deduplicate_lines.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import logging
from pathlib import Path
import shutil
from tempfile import NamedTemporaryFile
from typi... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_to_text/prep_covost_data.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import logging
import os
from pathlib import Path
import shutil
from itertools import groupby
from temp... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_to_text/prep_mustc_data.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import csv
from pathlib import Path
import zipfile
from functools import reduce
from multiprocessing import cpu_count
f... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_to_text/data_utils.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import logging
from pathlib import Path
import shutil
from tempfile import NamedTemporaryFile
import p... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_to_text/prep_librispeech_data.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Use: echo {text} | python tokenize_indic.py {language}
import sys
from indicnlp.normalize.indic_normalize import In... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/m2m_100/tokenizers/tokenize_indic.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import sys
from pythainlp import word_tokenize
for line in sys.stdin:
print(" ".join(word_tokenize(line.strip())... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/m2m_100/tokenizers/tokenize_thai.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import fileinput
import sacrebleu
for line in fileinput.input():
print(sacrebleu.tokenize_zh(line))
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/m2m_100/tokenizers/tokenize_zh.py |
import argparse
from collections import namedtuple
import os
DATADIR = "/path/to/train_data"
DEDUP_FROM_DIR = "/path/to/eval/data"
OUTPUT_DIR = "/path/to/output/data"
def main(args):
languages = set()
for language_directory in os.listdir(DATADIR):
if "_" in language_directory:
src, tgt = ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/m2m_100/process_data/dedup_data.py |
import gzip
import argparse
from string import punctuation
def len_no_punc(s, punc):
return len([ch for ch in s if ch in punc])
def filter_overpunc(len_npunc, len_sen):
return len_npunc < 0.5*len_sen
def main(args):
punc = punctuation + "—|–"
print('Processing file {}'.format(args.input))
with gz... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/m2m_100/process_data/remove_too_much_punc.py |
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--src', type=str, help='Source language')
parser.add_argument('--tgt', type=str, help='Target language')
parser.add_argument('--src-file', type=str, help='Input source file')
parser.add_argument('--tgt-file', type=str, help='Input target file')
pa... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/m2m_100/process_data/clean_histogram.py |
#!/usr/bin/env python3 -u
import argparse
import fileinput
import logging
import os
import sys
from fairseq.models.transformer import TransformerModel
logging.getLogger().setLevel(logging.INFO)
def main():
parser = argparse.ArgumentParser(description="")
parser.add_argument("--en2fr", required=True, help=... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/paraphraser/paraphrase.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import sys
import numpy as np
aggregate_funcs = {
"std": np.std,
"var": np.var,
"median": np.median,
"mean"... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/unsupervised_quality_estimation/aggregate_scores.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import sys
def _normalize_spaces(line):
return " ".join(line.split())
def main():
parser = argparse.ArgumentParser... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/unsupervised_quality_estimation/repeat_lines.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import math
import os
import subprocess
import sys
import tempfile
from collections import defaultdict
from itertools import c... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/unsupervised_quality_estimation/meteor.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from . import criterions, eval, models # noqa
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
def exclusive_cumprod(tensor, dim: int, eps: float = 1e-10):
"""
Implementing exclusive cumprod.
There is cumprod i... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/utils/functions.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
class LatencyMetric(object):
@staticmethod
def length_from_padding_mask(padding_mask, batch_first: bool = False):
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/utils/latency.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import importlib
import os
# automatically import any Python files in the criterions/ directory
for file in os.listdir(os.path.dirname(__fil... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/utils/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
from examples.simultaneous_translation.modules.monotonic_transformer_layer ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/models/transformer_monotonic_attention.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import importlib
import os
for file in os.listdir(os.path.dirname(__file__)):
if file.endswith(".py") and not file.startswith("_"):
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/models/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import json
import sys
from scorers import build_scorer
from tornado import ioloop, web
DEFAULT_HOSTNAME = "localhost"
DEFAU... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/eval/server.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import json
import torch
from examples.simultaneous_translation.utils.latency import LatencyInference
LATENCY_METRICS = [
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/eval/eval_latency.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Optional
import requests
from scorers import build_scorer
class SimulSTEvaluationService(object):
DEFAULT_HOSTNAME =... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/eval/client.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/eval/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
from agents import build_agent
from client import SimulSTEvaluationService, SimulSTLocalEvaluationService
from fairseq.regist... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/eval/evaluate.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
class SubwordSplitter(object):
def process_line(self, string):
raise NotImplementedError
def split(self, string):
ra... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/eval/agents/word_splitter.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import importlib
import os
from fairseq import registry
build_agent, register_agent, MONOTONIC_AGENT, _ = registry.setup_registry(
"--a... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/eval/agents/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from . import DEFAULT_EOS, GET, register_agent
from .simul_trans_agent import SimulTransAgent
from .word_splitter import SPLITTER_DICT
@regi... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/eval/agents/simul_trans_text_agent.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import time
from functools import partial
from multiprocessing.pool import ThreadPool as Pool
from . import DEFAULT_EOS, GET, SEND
class Ag... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/eval/agents/agent.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import os
from fairseq import checkpoint_utils, tasks, utils
from . import DEFAULT_EOS, GET, SEND
from .agent import Agent
cla... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/eval/agents/simul_trans_agent.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import importlib
import os
from fairseq import registry
(build_scorer, register_scorer, SCORER_REGISTRIES, _) = registry.setup_registry(
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/eval/scorers/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from . import register_scorer
from .scorer import SimulScorer
@register_scorer("text")
class SimulTextScorer(SimulScorer):
def __init__(... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/eval/scorers/text_scorer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import os
from collections import defaultdict
from examples.simultaneous_translation.eval.eval_latency import LatencyScorer
from ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/eval/scorers/scorer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from fairseq.modules import LayerNorm, TransformerDecoderLayer, TransformerEncoderLayer
from . import build_monotonic_attention
class Trans... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/modules/monotonic_transformer_layer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from examples.simultaneous_translation.utils.functions import ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/modules/monotonic_multihead_attention.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import importlib
import os
from fairseq import registry
(
build_monotonic_attention,
register_monotonic_attention,
MONOTONIC_AT... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/modules/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import importlib
import os
for file in os.listdir(os.path.dirname(__file__)):
if file.endswith(".py") and not file.startswith("_"):
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/criterions/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from examples.simultaneous_translation.utils.latency import LatencyTraining
from fairseq.criterions import register_criterion
from fairseq.cri... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/simultaneous_translation/criterions/label_smoothed_cross_entropy_latency_augmented.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from .models import linformer_roberta # noqa
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/linformer/linformer_src/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Linformer: Self-Attention with Linear Complexity
"""
import logging
from fairseq.models import register_model, register_model_architectur... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/linformer/linformer_src/models/linformer_roberta.py |
EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/linformer/linformer_src/models/__init__.py | |
EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/linformer/linformer_src/modules/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import Dict, Optional, Tuple
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.incr... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/linformer/linformer_src/modules/multihead_linear_attention.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch.nn as nn
from fairseq.modules import TransformerSentenceEncoder
from .linformer_sentence_encoder_layer import Linfo... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/linformer/linformer_src/modules/linformer_sentence_encoder.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Callable
from fairseq.modules import TransformerSentenceEncoderLayer
from .multihead_linear_attention import MultiheadLin... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/linformer/linformer_src/modules/linformer_sentence_encoder_layer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from fairseq.tasks import register_task
from fairseq.tasks.multilingual_translation import MultilingualTranslationTask
from .loss.latent_dept... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/latent_depth/latent_depth_src/multilingual_translation_latent_depth.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from . import multilingual_translation_latent_depth # noqa
from .loss import latent_depth # noqa
from .models import latent_multilingual_tra... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/latent_depth/latent_depth_src/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
from torch.nn.modules.loss import _Loss
class LatentLayersKLLoss(_Loss):
def __init__(self, args):
sup... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/latent_depth/latent_depth_src/loss/latent_depth.py |
EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/latent_depth/latent_depth_src/loss/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from fairseq.models import register_model, register_model_architecture
from fairseq.models.multilingual_transformer import MultilingualTransfo... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/latent_depth/latent_depth_src/models/latent_multilingual_transformer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any, Dict, Optional
import torch.nn as nn
from fairseq.models.fairseq_encoder import EncoderOut
from fairseq.models.transf... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/latent_depth/latent_depth_src/models/latent_transformer.py |
EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/latent_depth/latent_depth_src/models/__init__.py | |
EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/latent_depth/latent_depth_src/modules/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
class LayerSelect(nn.Module):
"""Compute samples (from a Gumbel-Sigmoid distribution) which is used a... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/latent_depth/latent_depth_src/modules/latent_layers.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Scoring script for computing pairwise BLEU and multi-ref BLEU over a set of
candidate hypotheses.
See `"Mixture Mod... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/translation_moe/score.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn.functional as F
class MeanPoolGatingNetwork(torch.nn.Module):
"""A simple mean-pooling gating network for s... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/translation_moe/translation_moe_src/mean_pool_gating_network.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from . import translation_moe # noqa
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/translation_moe/translation_moe_src/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
class LogSumExpMoE(torch.autograd.Function):
"""Standard LogSumExp forward pass, but use *posterior* for the backward.
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/translation_moe/translation_moe_src/logsumexp_moe.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from fairseq import metrics, utils
from fairseq.tasks import register_task
from fairseq.tasks.translation import TranslationTask
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/translation_moe/translation_moe_src/translation_moe.py |
from . import criterions, models, tasks # noqa
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Flashlight decoders.
"""
import gc
import itertools as it
import os.path as osp
import warnings
from collections ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/w2l_decoder.py |
#!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Run inference for pre-processed data with a trained model.
"""
import ast
import logging
import math
import os
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/infer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import os
import re
import sys
import torch
from examples.speech_recognition.data import AsrDataset
from examples.speech_recognit... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/tasks/speech_recognition.py |
import importlib
import os
for file in os.listdir(os.path.dirname(__file__)):
if file.endswith(".py") and not file.startswith("_"):
task_name = file[: file.find(".py")]
importlib.import_module("examples.speech_recognition.tasks." + task_name)
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/tasks/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import absolute_import, division, print_function, unicode_literals
import argparse
import concurrent.f... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/datasets/asr_prep_json.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import absolute_import, division, print_function, unicode_literals
import re
from collections import ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/utils/wer_utils.py |
import importlib
import os
for file in os.listdir(os.path.dirname(__file__)):
if file.endswith(".py") and not file.startswith("_"):
model_name = file[: file.find(".py")]
importlib.import_module("examples.speech_recognition.models." + model_name)
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/models/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import math
from collections.abc import Iterable
import torch
import torch.nn as nn
from examples.speech_recognition.data.dat... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/models/vggtransformer.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq.models import (
Fairs... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/models/w2l_conv_glu_enc.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Replabel transforms for use with flashlight's ASG criterion.
"""
def replabel_symbol(i):
"""
Replabel sy... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/data/replabels.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from .asr_dataset import AsrDataset
__all__ = [
"AsrDataset",
]
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/data/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
This module contains collection of classes which implement
collate functionalities for various tasks.
Collaters should know wh... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/data/collaters.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
def calc_mean_invstddev(feature):
if len(feature.size()) != 2:
raise ValueError("We expect the input feature to be ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/data/data_utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import numpy as np
from fairseq.data import FairseqDataset
from . import data_utils
from .collaters import Seq2SeqCollater
class... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/data/asr_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
import math
import torch
import torch.nn.f... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/criterions/cross_entropy_acc.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from examples.speech_recognition.data.replabels import pack_replabels
from fairseq import utils
from fair... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/criterions/ASG_loss.py |
import importlib
import os
# ASG loss requires flashlight bindings
files_to_skip = set()
try:
import flashlight.lib.sequence.criterion
except ImportError:
files_to_skip.add("ASG_loss.py")
for file in os.listdir(os.path.dirname(__file__)):
if file.endswith(".py") and not file.startswith("_") and file not ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/speech_recognition/criterions/__init__.py |
#!/usr/bin/env python3
#
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import sys
from sacremoses.normalize import MosesPunctNormalizer
def main(args):
normalizer = MosesPunctNormal... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/constrained_decoding/normalize.py |
#!/usr/bin/env python3
#
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import sys
import sacremoses
def main(args):
"""Tokenizes, preserving tabs"""
mt = sacremoses.MosesTokeniz... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/constrained_decoding/tok.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from dataclasses import dataclass
from typing import Dict, List, Optional
import torch
from fairseq.dataclass import FairseqDa... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/adaptive_span/adaptive_span_model_wrapper.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq.modules.layer_norm import Lay... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/adaptive_span/adaptive_span_model.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import importlib
import os
# automatically import any Python files in the current directory
cur_dir = os.path.dirname(__file__)
for file in o... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/adaptive_span/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from dataclasses import dataclass
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions impo... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/adaptive_span/adaptive_span_loss.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
from dataclasses import dataclass, field
from typing import List, Optional, Tuple
import torch
from fairseq import d... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/adaptive_span/truncated_bptt_lm_task.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class AdaptiveMask(nn.Module):
"""Soft masking function f... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/adaptive_span/adaptive_span_attention.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from torch.optim import Adagrad
from fairseq.optim import LegacyFairseqOptimizer, register_optimizer
@register_optimizer("adagrad_with_grad... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/examples/adaptive_span/adagrad_with_grad_clip.py |
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