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#!/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. import logging import os import sys from fairseq.dataclass.initialize import add_defaults, hydra_init from fairseq_...
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exa/models/unilm-master/decoding/GAD/fairseq_cli/hydra_train.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. """ Data pre-processing: build vocabularies and binarize training data. """ import logging import os import shutil impo...
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exa/models/unilm-master/decoding/GAD/fairseq_cli/preprocess.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. """ Translate pre-processed data with a trained model. """ import ast import logging import math import os import sy...
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exa/models/unilm-master/decoding/GAD/fairseq_cli/generate.py
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exa/models/unilm-master/decoding/GAD/fairseq_cli/__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. import logging import os import sys from argparse import Namespace from itertools import chain import torch from fa...
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exa/models/unilm-master/decoding/GAD/fairseq_cli/validate.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. """ Translate raw text with a trained model. Batches data on-the-fly. """ import ast import fileinput import logging...
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exa/models/unilm-master/decoding/GAD/fairseq_cli/interactive.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. """ Train a new model on one or across multiple GPUs. """ import argparse import logging import math import os impor...
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exa/models/unilm-master/decoding/GAD/fairseq_cli/train.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. """ Evaluate the perplexity of a trained language model. """ import logging import math import os import sys from a...
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exa/models/unilm-master/decoding/GAD/fairseq_cli/eval_lm.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. """ BLEU scoring of generated translations against reference translations. """ import argparse import os import sys fr...
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exa/models/unilm-master/decoding/GAD/fairseq_cli/score.py
#!/usr/bin/env python """Helper script to compare two argparse.Namespace objects.""" from argparse import Namespace # noqa def main(): ns1 = eval(input("Namespace 1: ")) ns2 = eval(input("Namespace 2: ")) def keys(ns): ks = set() for k in dir(ns): if not k.startswith("_"): ...
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exa/models/unilm-master/decoding/GAD/scripts/compare_namespaces.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. """ Split a large file into a train and valid set while respecting document boundaries. Documents should be separated by...
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exa/models/unilm-master/decoding/GAD/scripts/split_train_valid_docs.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. """ Use this script in order to build symmetric alignments for your translation dataset. This script depends on fast_align and mosesdecoder too...
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exa/models/unilm-master/decoding/GAD/scripts/build_sym_alignment.py
#!/usr/bin/env python # 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. from __future__ import absolute_import, division, print_function, unicode_literals import argparse ...
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exa/models/unilm-master/decoding/GAD/scripts/spm_decode.py
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exa/models/unilm-master/decoding/GAD/scripts/__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 argparse import os import re import shutil import sys pt_regexp = re.compile(r"checkpoint(\d+|_\d+_\d+|_[a-z]+...
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exa/models/unilm-master/decoding/GAD/scripts/rm_pt.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. """ Count the number of documents and average number of lines and tokens per document in a large file. Documents should ...
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exa/models/unilm-master/decoding/GAD/scripts/count_docs.py
#!/usr/bin/env python # 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. from __future__ import absolute_import, division, print_function, unicode_literals import argparse i...
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exa/models/unilm-master/decoding/GAD/scripts/spm_encode.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. """ Split a large file into shards while respecting document boundaries. Documents should be separated by a single empty...
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exa/models/unilm-master/decoding/GAD/scripts/shard_docs.py
#!/usr/bin/env python # 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. from __future__ import absolute_import, division, print_function, unicode_literals import sys impor...
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exa/models/unilm-master/decoding/GAD/scripts/spm_train.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 collections import os import re import torch from fairseq.file_io import PathManager def aver...
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exa/models/unilm-master/decoding/GAD/scripts/average_checkpoints.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 fairseq.data import Dictionary, data_utils, indexed_dataset def get_parser(): parser = argp...
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exa/models/unilm-master/decoding/GAD/scripts/read_binarized.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 """Reads in a fairseq output file, and verifies that the constraints (C- lines) are present in the outpu...
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exa/models/unilm-master/decoding/GAD/scripts/constraints/validate.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. """Extracts random constraints from reference files.""" import argparse import random import sys from sacrebleu imp...
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exa/models/unilm-master/decoding/GAD/scripts/constraints/extract.py
import os import sys import time import torch import logging import argparse import copy from tqdm import tqdm from torch import Tensor from omegaconf import open_dict from typing import Dict, Optional from fairseq import utils from fairseq.checkpoint_utils import load_model_ensemble_and_task logging.basicConfig( ...
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exa/models/unilm-master/decoding/IAD/inference_batch.py
import logging, os, sys import time import torch from torch import Tensor from typing import Dict, List, Optional import copy from tqdm import tqdm from omegaconf import open_dict import fairseq from fairseq.checkpoint_utils import load_model_ensemble_and_task from fairseq import utils from fairseq.data import data_uti...
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exa/models/unilm-master/decoding/IAD/inference.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 os import subprocess import sys from setuptools import setup, find_packages, Extension from setuptools import E...
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exa/models/unilm-master/decoding/IAD/fairseq/setup.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. """ Legacy entry point. Use fairseq_cli/train.py or fairseq-train instead. """ from fairseq_cli.train import cli_mai...
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exa/models/unilm-master/decoding/IAD/fairseq/train.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. """isort:skip_file""" import functools import importlib dependencies = [ "dataclasses", "hydra", "numpy", "omegaconf", "...
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exa/models/unilm-master/decoding/IAD/fairseq/hubconf.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 io import tempfile import unittest import torch from fairseq.data import Dictionary class TestDictionary(unittest.TestCase): def...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_dictionary.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 unittest from multiprocessing import Manager import torch import torch.nn as nn from fairseq import dist...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_bmuf.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 unittest import torch from fairseq import utils class TestUtils(unittest.TestCase): def test_convert_padding_direction(self): ...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_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 unittest from fairseq.data import iterators class TestIterators(unittest.TestCase): def test_counting_iterator(self, ref=None, i...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_iterators.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 unittest from typing import Dict, List import tests.utils as test_utils import torch from fairseq import utils from fairseq.data impor...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_noising.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 tempfile import unittest import torch from fairseq.data.dictionary import Dictionary from fairseq.models.lstm import L...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_lstm_jitable.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 unittest import torch from fairseq.modules.sparse_multihead_attention import SparseMultiheadAttention class TestSparseMultiheadAtten...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_sparse_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 unittest import uuid from fairseq import metrics class TestMetrics(unittest.TestCase): def test_nesting(self): with metr...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_metrics.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 contextlib import logging import unittest from io import StringIO from unittest.mock import MagicMock, patch import torch from fairseq...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_train.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 unittest import tests.utils as test_utils import torch from fairseq.sequence_scorer import SequenceScorer class Test...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_sequence_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 logging import unittest from fairseq.dataclass.utils import convert_namespace_to_omegaconf from fairseq.models.transformer import Tran...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_inference_dropout.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 unittest import torch from fairseq.modules.multihead_attention import MultiheadAttention class TestMultiheadAttention(unittest.TestC...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_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 unittest import numpy as np from fairseq.data.data_utils_fast import batch_by_size_fn from fairseq.data.data_utils_fast import batch_b...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_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 contextlib import logging import os import tempfile import unittest from io import StringIO from fairseq import checkpoint_utils from...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_checkpoint_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 unittest from unittest import mock class TestIOPath(unittest.TestCase): def test_no_iopath(self): from .test_reproducibi...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_iopath.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 collections import unittest import numpy as np from fairseq.data import ListDataset, ResamplingDataset class TestResamplingDataset(u...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_resampling_dataset.py
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exa/models/unilm-master/decoding/IAD/fairseq/tests/__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 unittest import tests.utils as test_utils import torch from fairseq.data import ( BacktranslationDataset, LanguagePairDataset,...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_backtranslation_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. import contextlib import logging import json import os import random import sys import tempfile import unittest from io import StringIO from t...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_binaries.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 sys import unittest import torch from fairseq.token_generation_constraints import * def tensorize(constraints: List[List[int]]) -> t...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_constraints.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 copy import unittest import tests.utils as test_utils import torch from fairseq.criterions.cross_entropy import CrossE...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_label_smoothing.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 os import random import sys from io import StringIO import torch import torch.nn.functional as F from fairseq import o...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/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 unittest import torch import torch.nn as nn from fairseq.modules import ConvTBC class TestConvTBC(unittest.TestCase): def test_c...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_convtbc.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 copy import logging import unittest import torch from fairseq.optim.fp16_optimizer import FP16Optimizer, MemoryEfficie...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_fp16_optimizer.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 logging import unittest import torch from fairseq.optim.adam import FairseqAdam from fairseq.optim.fp16_optimizer impo...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_memory_efficient_fp16.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 unittest import tests.utils as test_utils import torch from fairseq.data import TokenBlockDataset class TestTokenBlockDataset(unitte...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_token_block_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. import argparse import tempfile import unittest import math import numpy as np import tests.utils as test_utils import torch from fairseq im...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_sequence_generator.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 unittest import torch from fairseq.data import LanguagePairDataset, TokenBlockDataset from fairseq.data.concat_dataset import ConcatDa...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_concat_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. import unittest import torch from fairseq.data import MonolingualDataset from fairseq.tasks.language_modeling import LanguageModelingTask, La...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_lm_context_window.py
# 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 shutil import sys import tempfile import unittest from typing import Optional from unittest.mock import MagicMock class TestFileIO(unittest.TestCase): _tmpdir: Optional[st...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_file_io.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 contextlib import json import os import tempfile import unittest from io import StringIO import torch from . import test_binaries c...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_reproducibility.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 unittest import torch from fairseq.data import Dictionary from fairseq.modules import CharacterTokenEmbedder class TestCharacterToke...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_character_token_embedder.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 collections import os import shutil import tempfile import unittest import numpy as np import torch from scripts.average_checkpoints i...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_average_checkpoints.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 tempfile import unittest import torch from fairseq.data.dictionary import Dictionary from fairs...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_export.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 unittest from collections import OrderedDict import numpy as np import torch from fairseq.data import LanguagePairDataset, TokenBlockD...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/test_multi_corpus_sampled_dataset.py
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exa/models/unilm-master/decoding/IAD/fairseq/tests/gpu/__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 contextlib import logging import os import tempfile import unittest from io import StringIO import torch from fairseq import options f...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/gpu/test_binaries_gpu.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 functools import sys import unittest import torch from fairseq import distributed_utils as dist_utils from .utils import objects_are...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/distributed/test_distributed_utils.py
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exa/models/unilm-master/decoding/IAD/fairseq/tests/distributed/__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 functools import tempfile import torch def spawn_and_init(fn, world_size, args=None): if args is None: args = () wit...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/distributed/utils.py
#!/usr/bin/env python3 import argparse import os import unittest from inspect import currentframe, getframeinfo import numpy as np import torch from examples.speech_recognition.data.data_utils import lengths_to_encoder_padding_mask from fairseq.data import data_utils as fairseq_data_utils from fairseq.data.dictionary...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/speech_recognition/asr_test_base.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 unittest import numpy as np import torch from examples.speech_recognition.data.collaters import Seq2SeqCollater...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/speech_recognition/test_collaters.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 examples.speech_recognition.criterions.cross_entropy_acc import ( CrossEntropyWithAccCriterion, ) from .asr_t...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/speech_recognition/test_cross_entropy.py
#!/usr/bin/env python3 # import models/encoder/decoder to be tested from examples.speech_recognition.models.vggtransformer import ( TransformerDecoder, VGGTransformerEncoder, VGGTransformerModel, vggtransformer_1, vggtransformer_2, vggtransformer_base, ) # import base test class from .asr_test...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/speech_recognition/test_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 unittest import torch from examples.speech_recognition.data import data_utils class DataUtilsTest(unittest.Tes...
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exa/models/unilm-master/decoding/IAD/fairseq/tests/speech_recognition/test_data_utils.py
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exa/models/unilm-master/decoding/IAD/fairseq/tests/speech_recognition/__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. """ A modified version of the legacy DistributedDataParallel module that uses c10d communication primitives. This version is simpler than the ...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/legacy_distributed_data_parallel.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 typing import Callable, List, Optional import torch from fairseq import utils from fairseq.data.indexed_dataset import g...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/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. from collections import namedtuple import numpy as np import torch from fairseq import utils DecoderOut = namedtuple( "IterativeRefinem...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/iterative_refinement_generator.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 torch logger = logging.getLogger(__name__) class NanDetector: """ Detects the first NaN or Inf in forward a...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/nan_detector.py
# Originally from Microsoft Corporation. # Licensed under the MIT License. """ Wrapper for ngram_repeat_block cuda extension """ import torch from torch import nn import math from typing import Dict, List, Optional import warnings try: from fairseq import ngram_repeat_block_cuda EXTENSION_BUILT = True excep...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/ngram_repeat_block.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 argparse import Namespace from typing import Union from fairseq.dataclass import FairseqDataclass from fairseq.dataclass.utils import po...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/registry.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. """isort:skip_file""" import os import sys try: from .version import __version__ # noqa except ImportError: version_txt = os.path.jo...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/__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, List, Optional import torch import torch.nn as nn from fairseq import search, utils from fairseq.data im...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/sequence_generator.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 multiprocessing import os import pdb import sys __all__ = ["set_trace"] _stdin = [None] _stdin_lock = multiprocessing.Lock() try: ...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/pdb.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 re SPACE_NORMALIZER = re.compile(r"\s+") def tokenize_line(line): line = SPACE_NORMALIZER.sub(" ", line) line = line.strip(...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/tokenizer.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. import argparse import copy import logging import os from typing import Any, Dict, Iterator, List import torch from...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/hub_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 sys import torch from fairseq import utils class SequenceScorer(object): """Scores the target for a given source sentence.""" ...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/sequence_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 uuid from typing import Dict, Optional from torch import Tensor class FairseqIncrementalState(object): def __init__(self, *args,...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/incremental_decoding_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 argparse import contextlib import copy import importlib import logging import os import sys import tempfile import warnings from iterto...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/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 ast import collections import contextlib import logging import os import re import traceback from collections import OrderedDict from t...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/checkpoint_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 logging from fairseq.modules.quantization import pq, quantization_options, scalar from omegaconf import DictConfig logger = logging....
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/quantization_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 io import logging import os import pickle import random import socket import struct import subprocess import warnings from argparse imp...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/distributed_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. """ Utilities for working with the local dataset cache. This file is adapted from `AllenNLP <https://github.com/allenai/allennlp>`_. and `hugg...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/file_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 math from typing import List, Optional import torch import torch.nn as nn from fairseq.token_generation_constraints import ( Const...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/search.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 logging import os import shutil from typing import List, Optional logger = logging.getLogger(__file__) try:...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/file_io.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. """ Train a network across multiple GPUs. """ import contextlib import logging import sys import time from argparse import Namespace from ite...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/trainer.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 collections import Counter import torch from fairseq.file_io import PathManager from fairseq.tokenizer import tokenize_line ...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/binarizer.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. """Implements tracking of constraints for a beam item. A list of constraints is given as a list of one or more token sequences, each of lengt...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/token_generation_constraints.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 numpy as np import torch from fairseq.data import Dictionary, FairseqDataset from fairseq.tasks import LegacyFairseqTas...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/benchmark/dummy_masked_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 logging from dataclasses import dataclass, field from typing import Optional import numpy as np import torch from fairseq.data import ...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/benchmark/dummy_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 logging import numpy as np import torch from fairseq.data import Dictionary, FairseqDataset from fairseq.tasks import LegacyFairseqTas...
EXA-1-master
exa/models/unilm-master/decoding/IAD/fairseq/fairseq/benchmark/dummy_mt.py