python_code stringlengths 0 992k | repo_name stringlengths 8 46 | file_path stringlengths 5 162 |
|---|---|---|
# 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.
"""
from fairseq import distributed_utils
from fairseq.trainer import Trainer
from fairseq.dataclas... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/megatron_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.
from . import criterions, models, modules # noqa
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/__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
# automatically import any Python files in the models/ directory
models_dir = os.path.dirname(__file__)
for file ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/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 logging
import torch.nn as nn
import torch.nn.functional as F
from fairseq.model_parallel.modules import (
ModelParallelTransforme... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/models/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.
import torch.nn as nn
from fairseq.model_parallel.models.transformer import ModelParallelTransformerDecoder
from fairseq.models import registe... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/models/transformer_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.
from .model import * # noqa
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/models/pipeline_parallel_transformer/__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 logging
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
from fairseq.model_parallel.model... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/models/pipeline_parallel_transformer/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 math
from collections import namedtuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import options... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/models/pipeline_parallel_transformer/layers.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 .model import * # noqa
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/models/roberta/__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.
"""
RoBERTa: A Robustly Optimized BERT Pretraining Approach.
"""
import logging
import torch
import torch.nn as nn
import torch.nn.functional... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/models/roberta/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.
from typing import Dict, Optional, Tuple
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.incremental_deco... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/modules/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 random
from typing import Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq.model_parall... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/modules/transformer_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.
"""isort:skip_file"""
from .multihead_attention import ModelParallelMultiheadAttention
from .transformer_layer import (
ModelParallelTrans... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/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.
from fairseq.model_parallel.modules import ModelParallelMultiheadAttention
from fairseq.modules import TransformerDecoderLayer, TransformerEnc... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/modules/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 torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.model_parallel.modules import ModelParallelMultiheadAttent... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/modules/transformer_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.
import math
from fairseq import metrics, utils
from fairseq.criterions import FairseqCriterion, register_criterion
try:
from fairseq.mo... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/model_parallel/criterions/vocab_parallel_cross_entropy.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/fairseq/model_parallel/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.
import ctypes
import math
import sys
from dataclasses import dataclass, field
import torch
from fairseq.dataclass import FairseqDataclass
fro... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/scoring/bleu.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 abc import ABC, abstractmethod
from fairseq import registry
from omegaconf import DictConfig
class BaseSco... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/scoring/__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 dataclasses import dataclass, field
from fairseq.dataclass import FairseqDataclass
from fairseq.scoring import BaseScorer, register_scor... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/scoring/wer.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 unicodedata
from fairseq.dataclass import ChoiceEnum
class EvaluationTokenizer(object):
"""A generic evaluation-time tokenizer, ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/scoring/tokenizer.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.scoring import BaseScorer, register_scorer
@register_scorer("chrf")
class ChrFScorer(BaseScorer):
def __init__(self, args):... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/scoring/chrf.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
from dataclasses import _MISSING_TYPE, dataclass, field
from typing import Any, List, Optional
import torch
from fairseq.dataclas... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/dataclass/configs.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 logging
from typing import Dict, Any
from hydra.core.config_store import ConfigStore
from fairseq.dataclass.confi... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/dataclass/initialize.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 enum import Enum, EnumMeta
from typing import List
class StrEnumMeta(EnumMeta):
# this is workaround for submitit pickling leading ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/dataclass/constants.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 .configs import FairseqDataclass
from .constants import ChoiceEnum
__all__ = [
"FairseqDataclass",
"ChoiceEnum",
]
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/dataclass/__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 ast
import inspect
import logging
import os
import re
from argparse import ArgumentError, ArgumentParser, Namespace
from dataclasses im... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/dataclass/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 torch
import torch.nn as nn
class BeamableMM(nn.Module):
"""This module provides an optimized MM for beam decoding with attention... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/beamable_mm.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 fairseq.modules.fairseq_dropout import FairseqDropout
f... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/downsampled_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 logging
import torch
import torch.nn.functional as F
logger = logging.getLogger(__name__)
def _cross_entropy_pytorch(logits, targe... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/cross_entropy.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/fairseq/modules/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.
from __future__ import absolute_import, division, print_function, unicode_literals
from collections.abc import Iterable
from itertools import... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/vggblock.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 Dict, Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
from torch imp... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/learned_positional_embedding.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 GradMultiply(torch.autograd.Function):
@staticmethod
def forward(ctx, x, scale):
ctx.scale = scale
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/grad_multiply.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 List, Tuple
import torch
import torch.nn.functional as F
from fairseq.data import Dictionary
from torch imp... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/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.
from typing import Any, Dict, List, Tuple, Union
import torch
import torch.utils.checkpoint as checkpoint
from fairseq import utils
def ch... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/checkpoint_activations.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 TransformerSentenceEncoderLayer
from fairseq.modules.sparse_multihead_attention import SparseMultiheadAttention
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/sparse_transformer_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.
import functools
import operator
import torch
import torch.nn.functional as F
from fairseq.modules.fairseq_dropout import FairseqDropout
from... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/adaptive_softmax.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 torch.nn.modules.utils import _single
from torch import Tensor
class ConvTBC(torch.nn.Module):
"""1D convolution over ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/conv_tbc.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.nn.functional as F
def unfold1d(x, kernel_size, padding_l, pad_value=0):
"""unfold T x B x C to T x B x C x K"""
if ker... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/unfold.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 file is to re-implemented the low-rank and beam approximation of CRF layer
Proposed by:
Sun, Zhiqing, et al.
Fast Structured Decodin... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/dynamic_crf_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.
"""
See "Gaussian Error Linear Units (GELUs)" by Dan Hendrycks and Kevin Gimpel with
the corresponding GitHub repo: https://github.com/hendryck... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/gelu.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.
"""
LayerDrop as described in https://arxiv.org/abs/1909.11556.
"""
import torch
import torch.nn as nn
class LayerDropModuleList(nn.ModuleLi... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/layer_drop.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, Tuple
import torch
import torch.nn as nn
from fairseq.modules import (
FairseqDropout,
LayerDropModuleLi... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/transformer_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.
"""isort:skip_file"""
from .adaptive_input import AdaptiveInput
from .adaptive_softmax import AdaptiveSoftmax
from .beamable_mm import Beamabl... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/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.nn as nn
from fairseq.modules import TransformerSentenceEncoder
from fairseq.modules.sparse_transformer_sentence_encoder_layer im... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/sparse_transformer_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.
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.incremental_decoding_utils import with_incremental_state
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/linearized_convolution.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 Dict, List, Optional
import torch
import torch.nn as nn
from fairseq import utils
from fairseq.modules import LayerNorm, M... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/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.
from typing import Callable, Optional
import torch
import torch.nn as nn
from fairseq import utils
from fairseq.modules import LayerNorm, Mul... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/transformer_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.
import torch
import torch.nn as nn
def quant_noise(module, p, block_size):
"""
Wraps modules and applies quantization noise to the w... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quant_noise.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.
"""
Layer norm done in fp32 (for fp16 training)
"""
import torch.nn as nn
import torch.nn.functional as F
class Fp32GroupNorm(nn.GroupNorm):... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/fp32_group_norm.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 fairseq import utils
from fairseq.incremental_decoding_utils import wi... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/dynamic_convolution.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 List, Optional
import torch.nn as nn
import torch.nn.functional as F
logger = logging.getLogger(__name__)... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/fairseq_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 torch
import torch.nn as nn
import torch.nn.functional as F
class GumbelVectorQuantizer(nn.Module):
def __init__(
self,
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/gumbel_vector_quantizer.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
from fairseq.modules import Fp32GroupNorm
class KmeansVectorQuantizer(nn.Module):
def __init__(
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/kmeans_vector_quantizer.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 List
import torch
from fairseq.modules.quant_noise import quant_noise
from torch import nn
class AdaptiveInput(nn.Modul... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/adaptive_input.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 fairseq import utils
from fairseq.incremental_decoding_utils import wi... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/lightweight_convolution.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 ScalarBias(torch.autograd.Function):
"""
Adds a vector of scalars, used in self-attention mechanism to allow
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/scalar_bias.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.nn as nn
from .learned_positional_embedding import LearnedPositionalEmbedding
from .sinusoidal_positional_embedding import Sinus... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/positional_embedding.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 .multihead_attention import MultiheadAttention
class SparseMultiheadAttention(MultiheadAttention):
"""Sp... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/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.
"""
transpose last 2 dimensions of the input
"""
import torch.nn as nn
class TransposeLast(nn.Module):
def __init__(self, deconstruct_id... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/transpose_last.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 Any, Optional
import torch
import torch.onnx.operators
from fairseq import utils
from torch import Tensor, nn
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/sinusoidal_positional_embedding.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
try:
from apex.normalization import FusedLayerNorm as _FusedLayerNorm... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/layer_norm.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 import nn
class SamePad(nn.Module):
def __init__(self, kernel_size, causal=False):
super().__init__()
if cau... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/same_pad.py |
EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/__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.
def parse_config_yaml(yaml_data):
# Initialize to default options.
quantization_options = {
"n_centroids": {
"Lin... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/quantization_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 .utils import SizeTracker, quantize_model_ # NOQA
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/pq/__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 .em import EM, EmptyClusterResolveError
class PQ(EM):
"""
Quantizes the layer weights W with the standard Product Quantization
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/pq/pq.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
import random
from collections import Counter
import torch
class EM:
"""
EM algorithm used to quantize the... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/pq/em.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 re
from operator import attrgetter, itemgetter
import numpy as np
import torch.distributed as dist
import torch.nn as n... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/pq/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 torch
import torch.nn as nn
import torch.nn.functional as F
class PQLinear(nn.Module):
"""
Quantized counterpart of nn.Linear... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/pq/modules/qlinear.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 numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.modules.utils import _pair
class PQConv2... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/pq/modules/qconv.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 .qconv import PQConv2d # NOQA
from .qemb import PQEmbedding # NOQA
from .qlinear import PQLinear # NOQA
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/pq/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
import torch.nn.functional as F
class PQEmbedding(nn.Module):
"""
Quantized counterpart of nn.Emb... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/pq/modules/qemb.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 .utils import quantize_model_ # NOQA
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/scalar/__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 emulate_int(w, bits, method, scale=None, zero_point=None):
q = globals()[f"emulate_int{bits}_{method}"]
return q(w,... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/scalar/ops.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 operator import attrgetter
import torch.distributed as dist
import torch.nn as nn
from ..pq.utils import attrsetter, get... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/scalar/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 torch
import torch.nn as nn
import torch.nn.functional as F
from ..ops import emulate_int
class IntLinear(nn.Module):
"""
Qu... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/scalar/modules/qlinear.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
from torch.nn.modules.conv import _ConvNd
from torch.nn.modules.utils import _pair
from ..ops im... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/scalar/modules/qconv.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 .qact import ActivationQuantizer # NOQA
from .qconv import IntConv2d # NOQA
from .qemb import IntEmbedding # NOQA
from .qlinear import... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/scalar/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
import torch.nn.functional as F
from ..ops import emulate_int
class IntEmbedding(nn.Module):
"""
... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/scalar/modules/qemb.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 ..ops import emulate_int
class ActivationQuantizer:
"""
Fake scalar quantization of the activations using a forwa... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/quantization/scalar/modules/qact.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.
def gen_forward():
kernels = [3, 5, 7, 15, 31, 63, 127, 255]
seqs = [32 * x for x in [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/lightconv_layer/cuda_function_gen.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 .lightconv_layer import LightconvLayer # noqa
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/lightconv_layer/__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 lightconv_cuda
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.incremental_decoding_utils import wi... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/lightconv_layer/lightconv_layer.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 setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
setup(
name="lig... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/lightconv_layer/setup.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.
def gen_forward():
kernels = [3, 5, 7, 15, 31, 63, 127, 255]
blocks = [32, 64, 128, 256]
head = """
/**
* Copyright (c) Facebo... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/dynamicconv_layer/cuda_function_gen.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 .dynamicconv_layer import DynamicconvLayer # noqa
| EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/dynamicconv_layer/__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 dynamicconv_cuda
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.incremental_decoding_utils import ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/dynamicconv_layer/dynamicconv_layer.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 setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
setup(
name="dyn... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/modules/dynamicconv_layer/setup.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 BaseWrapperDataset
class OffsetTokensDataset(BaseWrapperDataset):
def __init__(self, dataset, offset):
super().__i... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/data/offset_tokens_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 collections import OrderedDict
import torch
from torch.utils.data.dataloader import default_collate
from . import FairseqDataset
def ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/data/nested_dictionary_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 logging
from collections import OrderedDict
from typing import Dict, List
import numpy as np
from fairseq.data import data_utils
from... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/data/multi_corpus_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 bisect
import numpy as np
from torch.utils.data.dataloader import default_collate
from . import FairseqDataset
class ConcatDataset(... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/data/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.
from . import BaseWrapperDataset
class ReplaceDataset(BaseWrapperDataset):
"""Replaces tokens found in the dataset by a specified replac... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/data/replace_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 torch
from fairseq import utils
from . import FairseqDataset
def backtranslate_samples(samples, collate_fn, generate_fn, cuda=True):... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/data/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 torch
from . import FairseqDataset
class IdDataset(FairseqDataset):
def __getitem__(self, index):
return index
def ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/data/id_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 numpy as np
import torch
from . import BaseWrapperDataset
class PrependDataset(BaseWrapperDataset):
def __init__(self, dataset, ... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/data/prepend_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 collections import OrderedDict
from typing import Callable, Dict, List
import numpy as np
from . import FairseqDataset
def uniform_sa... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/data/multi_corpus_sampled_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 . import FairseqDataset
class NumSamplesDataset(FairseqDataset):
def __getitem__(self, index):
return 1
def __len__(se... | EXA-1-master | exa/models/unilm-master/decoding/IAD/fairseq/fairseq/data/num_samples_dataset.py |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.