repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_mt.py | # Copyright 2019 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""RNN sequence-to-sequence text translation model (pytorch)."""
import argparse
import logging
import math
import os
import chainer
from chainer import reporter
import nltk
import numpy as np
import torc... | 13,758 | 35.78877 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_vc_transformer.py | # Copyright 2020 Nagoya University (Wen-Chin Huang)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Voice Transformer Network (Transformer-VC) related modules."""
import logging
import torch
import torch.nn.functional as F
from espnet.nets.pytorch_backend.e2e_asr_transformer import subsequent_mask
fr... | 46,130 | 38.73385 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_vc_tacotron2.py | # Copyright 2020 Nagoya University (Wen-Chin Huang)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Tacotron2-VC related modules."""
import logging
from distutils.util import strtobool
import numpy as np
import torch
import torch.nn.functional as F
from espnet.nets.pytorch_backend.rnn.attentions imp... | 30,519 | 37.730964 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_asr_conformer.py | # Copyright 2020 Johns Hopkins University (Shinji Watanabe)
# Northwestern Polytechnical University (Pengcheng Guo)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""
Conformer speech recognition model (pytorch).
It is a fusion of `e2e_asr_transformer.py`
Refer to: https://arxiv.org/abs/20... | 2,850 | 35.088608 | 82 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_tts_transformer.py | # Copyright 2019 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""TTS-Transformer related modules."""
import logging
import torch
import torch.nn.functional as F
from espnet.nets.pytorch_backend.e2e_tts_tacotron2 import GuidedAttentionLoss
from espnet.nets.pytorch_backend.e2e_tts_tacotr... | 45,716 | 38.445211 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/gtn_ctc.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""GTN CTC implementation."""
import gtn
import torch
class GTNCTCLossFunction(torch.autograd.Function):
"""GTN CTC module."""
# Copied from FB's GTN example implementation:
# https://github.com/facebookresearch/gtn_applications/blob/master/utils.py#L251
... | 3,974 | 32.403361 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_tts_tacotron2.py | # Copyright 2018 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Tacotron 2 related modules."""
import logging
import numpy as np
import torch
import torch.nn.functional as F
from espnet.nets.pytorch_backend.nets_utils import make_non_pad_mask
from espnet.nets.pytor... | 34,205 | 37.048943 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/ctc.py | from distutils.version import LooseVersion
import logging
import numpy as np
import six
import torch
import torch.nn.functional as F
from espnet.nets.pytorch_backend.nets_utils import to_device
class CTC(torch.nn.Module):
"""CTC module
:param int odim: dimension of outputs
:param int eprojs: number of ... | 10,704 | 36.299652 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_st.py | # Copyright 2019 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""RNN sequence-to-sequence speech translation model (pytorch)."""
import argparse
import copy
import logging
import math
import os
import editdistance
import nltk
import chainer
import numpy as np
impor... | 24,247 | 35.408408 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/wavenet.py | # -*- coding: utf-8 -*-
# Copyright 2019 Tomoki Hayashi (Nagoya University)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""This code is based on https://github.com/kan-bayashi/PytorchWaveNetVocoder."""
import logging
import sys
import time
import numpy as np
import torch
import torch.nn.functional a... | 13,941 | 30.051225 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_asr_mix_transformer.py | #!/usr/bin/env python3
# encoding: utf-8
# Copyright 2020 Johns Hopkins University (Xuankai Chang)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""
Transformer speech recognition model for single-channel multi-speaker mixture speech.
It is a fusion of `e2e_asr_mix.py` and `e2e_asr_transformer.py`. Ref... | 18,291 | 38.507559 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_st_conformer.py | # Copyright 2020 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""
Conformer speech translation model (pytorch).
It is a fusion of `e2e_st_transformer.py`
Refer to: https://arxiv.org/abs/2005.08100
"""
from espnet.nets.pytorch_backend.conformer.encoder import Encode... | 2,608 | 33.786667 | 82 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/initialization.py | #!/usr/bin/env python
# Copyright 2019 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Initialization functions for RNN sequence-to-sequence models."""
import math
def lecun_normal_init_parameters(module):
"""Initialize parameters in the LeCun's manner."""
... | 1,561 | 26.892857 | 67 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_mt_transformer.py | # Copyright 2019 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Transformer text translation model (pytorch)."""
from argparse import Namespace
import logging
import math
import numpy as np
import torch
from espnet.nets.e2e_asr_common import end_detect
from espnet... | 16,196 | 38.408759 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/nets_utils.py | # -*- coding: utf-8 -*-
"""Network related utility tools."""
import logging
from typing import Dict
import numpy as np
import torch
def to_device(m, x):
"""Send tensor into the device of the module.
Args:
m (torch.nn.Module): Torch module.
x (Tensor): Torch tensor.
Returns:
Te... | 17,262 | 31.63327 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_asr_maskctc.py | # Copyright 2020 Johns Hopkins University (Shinji Watanabe)
# Waseda University (Yosuke Higuchi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""
Mask CTC based non-autoregressive speech recognition model (pytorch).
See https://arxiv.org/abs/2005.08700 for the detail.
"""
from itertool... | 10,568 | 37.714286 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_asr_transducer.py | """Transducer speech recognition model (pytorch)."""
from argparse import ArgumentParser
from argparse import Namespace
from dataclasses import asdict
import logging
import math
import numpy
from typing import List
import chainer
import torch
from espnet.nets.asr_interface import ASRInterface
from espnet.nets.beam_s... | 17,897 | 32.833648 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_asr_mulenc.py | # Copyright 2017 Johns Hopkins University (Shinji Watanabe)
# Copyright 2017 Johns Hopkins University (Ruizhi Li)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Define e2e module for multi-encoder network. https://arxiv.org/pdf/1811.04903.pdf."""
import argparse
from itertools import groupby
import lo... | 31,659 | 34.653153 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_asr_transformer.py | # Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Transformer speech recognition model (pytorch)."""
from argparse import Namespace
from distutils.util import strtobool
import logging
import math
import numpy
import torch
import torch.nn as nn
import random
from IPython ... | 51,287 | 44.548845 | 151 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_asr_mix.py | #!/usr/bin/env python3
"""
This script is used to construct End-to-End models of multi-speaker ASR.
Copyright 2017 Johns Hopkins University (Shinji Watanabe)
Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""
import argparse
from itertools import groupby
import logging
import math
import os
import sys
im... | 31,145 | 36.615942 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/e2e_st_transformer.py | # Copyright 2019 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Transformer speech recognition model (pytorch)."""
from argparse import Namespace
import logging
import math
import numpy
import torch
from espnet.nets.e2e_asr_common import end_detect
from espnet.net... | 22,844 | 37.918228 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/streaming/window.py | import torch
# TODO(pzelasko): Currently allows half-streaming only;
# needs streaming attention decoder implementation
class WindowStreamingE2E(object):
"""WindowStreamingE2E constructor.
:param E2E e2e: E2E ASR object
:param recog_args: arguments for "recognize" method of E2E
"""
def __init__... | 2,768 | 32.768293 | 84 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/streaming/segment.py | import numpy as np
import torch
class SegmentStreamingE2E(object):
"""SegmentStreamingE2E constructor.
:param E2E e2e: E2E ASR object
:param recog_args: arguments for "recognize" method of E2E
"""
def __init__(self, e2e, recog_args, rnnlm=None):
self._e2e = e2e
self._recog_args =... | 4,774 | 35.730769 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transducer/joint_network.py | """Transducer joint network implementation."""
import torch
from espnet.nets.pytorch_backend.nets_utils import get_activation
class JointNetwork(torch.nn.Module):
"""Transducer joint network module.
Args:
joint_output_size: Joint network output dimension
encoder_output_size: Encoder output ... | 1,905 | 29.741935 | 80 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transducer/rnn_encoder.py | """RNN encoder implementation for transducer model.
These classes are based on the ones in espnet.nets.pytorch_backend.rnn.encoders,
and modified to output intermediate representation based given list of layers as input.
To do so, RNN class rely on a stack of 1-layer LSTM instead of a multi-layer LSTM.
The additional ... | 18,462 | 31.165505 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transducer/causal_conv1d.py | """CausalConv1d module definition for custom decoder."""
from typing import Optional
from typing import Tuple
import torch
class CausalConv1d(torch.nn.Module):
"""CausalConv1d module for custom decoder.
Args:
idim: Input dimension.
odim: Output dimension.
kernel_size: Size of the co... | 1,995 | 25.613333 | 85 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transducer/rnn_decoder.py | """RNN decoder definition for transducer model."""
from typing import Any
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
import torch
from espnet.nets.transducer_decoder_interface import ExtendedHypothesis
from espnet.nets.transducer_deco... | 9,130 | 29.847973 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transducer/vgg2l.py | """VGG2L module definition for custom encoder."""
from typing import Tuple
from typing import Union
import torch
class VGG2L(torch.nn.Module):
"""VGG2L module for custom encoder.
Args:
idim: Input dimension.
odim: Output dimension.
pos_enc: Positional encoding class.
"""
d... | 2,800 | 28.797872 | 81 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transducer/tdnn.py | """TDNN modules definition for custom encoder."""
from typing import Tuple
from typing import Union
import torch
class TDNN(torch.nn.Module):
"""TDNN module with symmetric context.
Args:
idim: Input dimension.
odim: Output dimension.
ctx_size: Size of the context window.
str... | 5,399 | 31.53012 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transducer/utils.py | """Utility functions for transducer models."""
import os
from typing import Any
from typing import Dict
from typing import List
from typing import Optional
from typing import Union
import numpy as np
import torch
from espnet.nets.pytorch_backend.nets_utils import pad_list
from espnet.nets.transducer_decoder_interfac... | 10,615 | 24.892683 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transducer/custom_encoder.py | """Cutom encoder definition for transducer models."""
from typing import List
from typing import Tuple
from typing import Union
import torch
from espnet.nets.pytorch_backend.transducer.blocks import build_blocks
from espnet.nets.pytorch_backend.transducer.vgg2l import VGG2L
from espnet.nets.pytorch_backend.transfor... | 4,309 | 32.937008 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transducer/transducer_tasks.py | """Module implementing transducer main and auxiliary tasks."""
from typing import Any
from typing import List
from typing import Optional
from typing import Tuple
import torch
from espnet.nets.pytorch_backend.nets_utils import pad_list
from espnet.nets.pytorch_backend.transformer.label_smoothing_loss import (
La... | 15,065 | 31.055319 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transducer/transformer_decoder_layer.py | """Transformer decoder layer definition for custom transducer model."""
from typing import Optional
import torch
from espnet.nets.pytorch_backend.transformer.attention import MultiHeadedAttention
from espnet.nets.pytorch_backend.transformer.layer_norm import LayerNorm
from espnet.nets.pytorch_backend.transformer.pos... | 2,716 | 27.010309 | 82 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transducer/error_calculator.py | """CER/WER computation for transducer model."""
from typing import List
from typing import Tuple
from typing import Union
import editdistance
import torch
from espnet.nets.beam_search_transducer import BeamSearchTransducer
from espnet.nets.pytorch_backend.transducer.custom_decoder import CustomDecoder
from espnet.ne... | 4,827 | 27.738095 | 79 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transducer/initializer.py | """Parameter initialization for transducer model."""
from argparse import Namespace
import math
import torch
from espnet.nets.pytorch_backend.initialization import set_forget_bias_to_one
def initializer(model: torch.nn.Module, args: Namespace):
"""Initialize transducer model.
Args:
model: Transduc... | 1,304 | 29.348837 | 79 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transducer/custom_decoder.py | """Custom decoder definition for transducer model."""
from typing import Any
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
import torch
from espnet.nets.pytorch_backend.transducer.blocks import build_blocks
from espnet.nets.pytorch_backe... | 9,230 | 30.397959 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transducer/blocks.py | """Set of methods to create custom architecture."""
from collections import Counter
from typing import Dict
from typing import List
from typing import Tuple
from typing import Union
import torch
from espnet.nets.pytorch_backend.conformer.convolution import ConvolutionModule
from espnet.nets.pytorch_backend.conformer... | 18,963 | 32.153846 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/tacotron2/encoder.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Tacotron2 encoder related modules."""
import six
import torch
from torch.nn.utils.rnn import pack_padded_sequence
from torch.nn.utils.rnn import pad_pack... | 6,320 | 34.711864 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/tacotron2/decoder.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Tacotron2 decoder related modules."""
import six
import torch
import torch.nn.functional as F
from espnet.nets.pytorch_backend.rnn.attentions import AttF... | 24,426 | 35.081241 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/tacotron2/cbhg.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""CBHG related modules."""
import torch
import torch.nn.functional as F
from torch.nn.utils.rnn import pack_padded_sequence
from torch.nn.utils.rnn import p... | 9,099 | 31.851986 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/fastspeech/duration_calculator.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Duration calculator related modules."""
import torch
from espnet.nets.pytorch_backend.e2e_tts_tacotron2 import Tacotron2
from espnet.nets.pytorch_backend.e2e_tts_transformer ... | 3,600 | 35.744898 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/fastspeech/duration_predictor.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Duration predictor related modules."""
import torch
from espnet.nets.pytorch_backend.transformer.layer_norm import LayerNorm
class DurationPredictor(torch.nn.Module):
"... | 4,992 | 31.422078 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/fastspeech/length_regulator.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Length regulator related modules."""
import logging
import torch
from espnet.nets.pytorch_backend.nets_utils import pad_list
class LengthRegulator(torch.nn.Module):
""... | 2,173 | 30.970588 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/rnn/decoders.py | """RNN decoder module."""
import logging
import math
import random
import six
import numpy as np
import torch
import torch.nn.functional as F
from argparse import Namespace
from espnet.nets.ctc_prefix_score import CTCPrefixScore
from espnet.nets.ctc_prefix_score import CTCPrefixScoreTH
from espnet.nets.e2e_asr_commo... | 49,193 | 39.488889 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/rnn/attentions.py | """Attention modules for RNN."""
import math
import six
import torch
import torch.nn.functional as F
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet.nets.pytorch_backend.nets_utils import to_device
def _apply_attention_constraint(
e, last_attended_idx, backward_window=1, forward_wi... | 67,013 | 36.044776 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/rnn/encoders.py | import logging
import six
import numpy as np
import torch
import torch.nn.functional as F
from torch.nn.utils.rnn import pack_padded_sequence
from torch.nn.utils.rnn import pad_packed_sequence
from espnet.nets.e2e_asr_common import get_vgg2l_odim
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from e... | 14,199 | 37.069705 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/lm/transformer.py | """Transformer language model."""
from typing import Any
from typing import List
from typing import Tuple
import logging
import torch
import torch.nn as nn
import torch.nn.functional as F
from espnet.nets.lm_interface import LMInterface
from espnet.nets.pytorch_backend.transformer.embedding import PositionalEncoding... | 8,446 | 32.387352 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/lm/default.py | """Default Recurrent Neural Network Languge Model in `lm_train.py`."""
from typing import Any
from typing import List
from typing import Tuple
import logging
import torch
import torch.nn as nn
import torch.nn.functional as F
from espnet.nets.lm_interface import LMInterface
from espnet.nets.pytorch_backend.e2e_asr im... | 14,597 | 32.791667 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/lm/seq_rnn.py | """Sequential implementation of Recurrent Neural Network Language Model."""
import torch
import torch.nn as nn
import torch.nn.functional as F
from espnet.nets.lm_interface import LMInterface
class SequentialRNNLM(LMInterface, torch.nn.Module):
"""Sequential RNNLM.
See also:
https://github.com/pyto... | 5,940 | 32.189944 | 118 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/conformer/encoder_layer.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2020 Johns Hopkins University (Shinji Watanabe)
# Northwestern Polytechnical University (Pengcheng Guo)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Encoder self-attention layer definition."""
import torch
from torch import ... | 6,756 | 36.331492 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/conformer/encoder.py | # Copyright 2020 Johns Hopkins University (Shinji Watanabe)
# Northwestern Polytechnical University (Pengcheng Guo)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Encoder definition."""
import logging
import torch
from espnet.nets.pytorch_backend.conformer.convolution import Convolutio... | 25,965 | 41.221138 | 142 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/conformer/convolution.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2020 Johns Hopkins University (Shinji Watanabe)
# Northwestern Polytechnical University (Pengcheng Guo)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""ConvolutionModule definition."""
from torch import nn
class ConvolutionMod... | 2,193 | 26.425 | 79 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/conformer/swish.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2020 Johns Hopkins University (Shinji Watanabe)
# Northwestern Polytechnical University (Pengcheng Guo)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Swish() activation function for Conformer."""
import torch
class Swish(tor... | 483 | 24.473684 | 70 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/maskctc/add_mask_token.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2020 Johns Hopkins University (Shinji Watanabe)
# Waseda University (Yosuke Higuchi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Token masking module for Masked LM."""
import numpy
def mask_uniform(ys_pad, mask_token, eos,... | 1,352 | 32.825 | 74 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/maskctc/mask.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2020 Johns Hopkins University (Shinji Watanabe)
# Waseda University (Yosuke Higuchi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Attention masking module for Masked LM."""
def square_mask(ys_in_pad, ignore_id):
"""Creat... | 803 | 31.16 | 74 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/embedding.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Positional Encoding Module."""
import math
import torch
def _pre_hook(
state_dict,
prefix,
local_metadata,
strict,
missing_keys,
unexpected_keys,
... | 7,989 | 31.612245 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/lightconv2d.py | """Lightweight 2-Dimensional Convolution module."""
import numpy
import torch
from torch import nn
import torch.nn.functional as F
MIN_VALUE = float(numpy.finfo(numpy.float32).min)
class LightweightConvolution2D(nn.Module):
"""Lightweight 2-Dimensional Convolution layer.
This implementation is based on
... | 4,230 | 32.848 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/encoder_layer.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Encoder self-attention layer definition."""
import torch
from torch import nn
from espnet.nets.pytorch_backend.transformer.layer_norm import LayerNorm
class EncoderLayer(n... | 4,256 | 34.181818 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/label_smoothing_loss.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Label smoothing module."""
import torch
from torch import nn
class LabelSmoothingLoss(nn.Module):
"""Label-smoothing loss.
:param int size: the number of class
... | 2,164 | 32.828125 | 75 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/positionwise_feed_forward.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Positionwise feed forward layer definition."""
import torch
class PositionwiseFeedForward(torch.nn.Module):
"""Positionwise feed forward layer.
Args:
idim (... | 983 | 28.818182 | 85 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/encoder_mix.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Encoder Mix definition."""
import torch
from espnet.nets.pytorch_backend.transducer.vgg2l import VGG2L
from espnet.nets.pytorch_backend.transformer.attention import MultiHead... | 6,407 | 38.801242 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/argument.py | # Copyright 2020 Hirofumi Inaguma
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Transformer common arguments."""
from distutils.util import strtobool
def add_arguments_transformer_common(group):
"""Add Transformer common arguments."""
group.add_argument(
"--transformer-init",
... | 5,107 | 27.696629 | 83 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/subsampling.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Subsampling layer definition."""
import torch
from espnet.nets.pytorch_backend.transformer.embedding import PositionalEncoding
class TooShortUttError(Exception):
"""Rai... | 9,087 | 32.784387 | 154 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/encoder.py | # Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Encoder definition."""
import logging
import torch
from espnet.nets.pytorch_backend.nets_utils import rename_state_dict
from espnet.nets.pytorch_backend.transducer.vgg2l import VGG2L
from espnet.nets.pytorch_backend.transf... | 31,994 | 40.124679 | 142 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/contextual_block_encoder_layer.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2020 Emiru Tsunoo
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Encoder self-attention layer definition."""
import torch
from torch import nn
from espnet.nets.pytorch_backend.transformer.layer_norm import LayerNorm
class ContextualBlockE... | 5,036 | 35.23741 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/lightconv.py | """Lightweight Convolution Module."""
import numpy
import torch
from torch import nn
import torch.nn.functional as F
MIN_VALUE = float(numpy.finfo(numpy.float32).min)
class LightweightConvolution(nn.Module):
"""Lightweight Convolution layer.
This implementation is based on
https://github.com/pytorch/f... | 3,590 | 30.778761 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/multi_layer_conv.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Layer modules for FFT block in FastSpeech (Feed-forward Transformer)."""
import torch
class MultiLayeredConv1d(torch.nn.Module):
"""Multi-layered conv1d for Transformer ... | 3,164 | 28.858491 | 80 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/subsampling_without_posenc.py | # Copyright 2020 Emiru Tsunoo
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Subsampling layer definition."""
import math
import torch
class Conv2dSubsamplingWOPosEnc(torch.nn.Module):
"""Convolutional 2D subsampling.
Args:
idim (int): Input dimension.
odim (int): Output dim... | 1,898 | 29.629032 | 70 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/repeat.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Repeat the same layer definition."""
import torch
class MultiSequential(torch.nn.Sequential):
"""Multi-input multi-output torch.nn.Sequential."""
def forward(self, ... | 703 | 19.705882 | 59 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/decoder.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Decoder definition."""
import logging
from typing import Any
from typing import List
from typing import Tuple
import torch
from espnet.nets.pytorch_backend.nets_utils impor... | 16,725 | 39.400966 | 124 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/plot.py | # Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
import logging
import matplotlib.pyplot as plt
import numpy
import os
from espnet.asr import asr_utils
def _plot_and_save_attention(att_w, filename, xtokens=None, ytokens=None):
# dynamically import matplotlib due to no... | 5,536 | 36.666667 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/layer_norm.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Layer normalization module."""
import torch
class LayerNorm(torch.nn.LayerNorm):
"""Layer normalization module.
Args:
nout (int): Output dim size.
d... | 958 | 21.302326 | 59 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/add_sos_eos.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Unility functions for Transformer."""
import torch
def add_sos_eos(ys_pad, sos, eos, ignore_id):
"""Add <sos> and <eos> labels.
:param torch.Tensor ys_pad: batch of... | 957 | 28.9375 | 74 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/attention.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Multi-Head Attention layer definition."""
import math
import numpy
import torch
from torch import nn
class MultiHeadedAttention(nn.Module):
"""Multi-Head Attention laye... | 51,687 | 46.074681 | 187 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/decoder_layer.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Decoder self-attention layer definition."""
import torch
from torch import nn
from espnet.nets.pytorch_backend.transformer.layer_norm import LayerNorm
class DecoderLayer(nn... | 4,877 | 35.133333 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/dynamic_conv2d.py | """Dynamic 2-Dimensional Convolution module."""
import numpy
import torch
from torch import nn
import torch.nn.functional as F
MIN_VALUE = float(numpy.finfo(numpy.float32).min)
class DynamicConvolution2D(nn.Module):
"""Dynamic 2-Dimensional Convolution layer.
This implementation is based on
https://gi... | 4,863 | 33.992806 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/mask.py | # Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Mask module."""
import torch
def subsequent_mask(size, device="cpu", dtype=torch.bool):
"""Create mask for subsequent steps (size, size).
:param int size: size of mask
:param str device: "cpu" or "cuda" or to... | 1,037 | 27.833333 | 77 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/dynamic_conv.py | """Dynamic Convolution module."""
import numpy
import torch
from torch import nn
import torch.nn.functional as F
MIN_VALUE = float(numpy.finfo(numpy.float32).min)
class DynamicConvolution(nn.Module):
"""Dynamic Convolution layer.
This implementation is based on
https://github.com/pytorch/fairseq/tree/... | 4,244 | 32.690476 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/initializer.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Parameter initialization."""
import torch
from espnet.nets.pytorch_backend.transformer.layer_norm import LayerNorm
def initialize(model, init_type="pytorch"):
"""Initia... | 1,383 | 29.755556 | 75 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/optimizer.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Optimizer module."""
import torch
class NoamOpt(object):
"""Optim wrapper that implements rate."""
def __init__(self, model_size, factor, warmup, optimizer):
... | 2,094 | 26.565789 | 76 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/transformer/diagonaled_mm_tvm.py | from typing import Union
from functools import lru_cache
import torch
import os.path
class DiagonaledMM(torch.autograd.Function):
'''Class to encapsulate tvm code for compiling a diagonal_mm function, in addition to calling
this function from PyTorch
'''
function_dict = {} # save a list of function... | 17,439 | 51.848485 | 189 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/frontends/dnn_wpe.py | from typing import Tuple
from pytorch_wpe import wpe_one_iteration
import torch
from torch_complex.tensor import ComplexTensor
from espnet.nets.pytorch_backend.frontends.mask_estimator import MaskEstimator
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
class DNN_WPE(torch.nn.Module):
def __ini... | 2,855 | 29.382979 | 78 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/frontends/feature_transform.py | from typing import List
from typing import Tuple
from typing import Union
import librosa
import numpy as np
import torch
from torch_complex.tensor import ComplexTensor
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
class FeatureTransform(torch.nn.Module):
def __init__(
self,
# ... | 7,975 | 29.212121 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/frontends/beamformer.py | import torch
from torch_complex import functional as FC
from torch_complex.tensor import ComplexTensor
def get_power_spectral_density_matrix(
xs: ComplexTensor, mask: torch.Tensor, normalization=True, eps: float = 1e-15
) -> ComplexTensor:
"""Return cross-channel power spectral density (PSD) matrix
Args:... | 2,731 | 31.141176 | 81 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/frontends/mask_estimator.py | from typing import Tuple
import numpy as np
import torch
from torch.nn import functional as F
from torch_complex.tensor import ComplexTensor
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet.nets.pytorch_backend.rnn.encoders import RNN
from espnet.nets.pytorch_backend.rnn.encoders import RN... | 2,691 | 33.512821 | 85 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/frontends/frontend.py | from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
import numpy
import torch
import torch.nn as nn
from torch_complex.tensor import ComplexTensor
from espnet.nets.pytorch_backend.frontends.dnn_beamformer import DNN_Beamformer
from espnet.nets.pytorch_backend.frontend... | 4,611 | 29.342105 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/nets/pytorch_backend/frontends/dnn_beamformer.py | """DNN beamformer module."""
from typing import Tuple
import torch
from torch.nn import functional as F
from espnet.nets.pytorch_backend.frontends.beamformer import apply_beamforming_vector
from espnet.nets.pytorch_backend.frontends.beamformer import get_mvdr_vector
from espnet.nets.pytorch_backend.frontends.beamform... | 5,596 | 31.352601 | 85 | py |
a3t-dev_richard | a3t-dev_richard/espnet/mt/pytorch_backend/mt.py | #!/usr/bin/env python3
# encoding: utf-8
# Copyright 2019 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Training/decoding definition for the text translation task."""
import itertools
import json
import logging
import os
from chainer import training
from chainer.... | 20,126 | 32.770134 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/bin/asr_recog.py | #!/usr/bin/env python3
# encoding: utf-8
# Copyright 2017 Johns Hopkins University (Shinji Watanabe)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""End-to-end speech recognition model decoding script."""
import configargparse
import logging
import os
import random
import sys
import numpy as np
from... | 13,482 | 32.291358 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/bin/asr_train.py | #!/usr/bin/env python3
# encoding: utf-8
# Copyright 2017 Tomoki Hayashi (Nagoya University)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Automatic speech recognition model training script."""
import logging
import os
import random
import subprocess
import sys
import configargparse
import numpy as... | 20,130 | 30.454688 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/bin/lm_train.py | #!/usr/bin/env python3
# Copyright 2017 Johns Hopkins University (Shinji Watanabe)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
# This code is ported from the following implementation written in Torch.
# https://github.com/chainer/chainer/blob/master/examples/ptb/train_ptb_custom_loop.py
"""Language m... | 8,939 | 29.934256 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/bin/tts_train.py | #!/usr/bin/env python3
# Copyright 2018 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Text-to-speech model training script."""
import logging
import os
import random
import subprocess
import sys
import configargparse
import numpy as np
from espnet import __versio... | 10,680 | 28.669444 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/bin/asr_enhance.py | #!/usr/bin/env python3
import configargparse
from distutils.util import strtobool
import logging
import os
import random
import sys
import numpy as np
from espnet.asr.pytorch_backend.asr import enhance
# NOTE: you need this func to generate our sphinx doc
def get_parser():
parser = configargparse.ArgumentParser... | 5,778 | 29.098958 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/bin/vc_train.py | #!/usr/bin/env python3
# Copyright 2020 Nagoya University (Wen-Chin Huang)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Voice conversion model training script."""
import logging
import os
import random
import subprocess
import sys
import configargparse
import numpy as np
from espnet import __vers... | 10,830 | 28.352304 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/bin/tts_decode.py | #!/usr/bin/env python3
# Copyright 2018 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""TTS decoding script."""
import configargparse
import logging
import os
import subprocess
import sys
from espnet.utils.cli_utils import strtobool
# NOTE: you need this func to g... | 5,266 | 29.982353 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/bin/mt_trans.py | #!/usr/bin/env python3
# encoding: utf-8
# Copyright 2019 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Neural machine translation model decoding script."""
import configargparse
import logging
import os
import random
import sys
import numpy as np
# NOTE: you n... | 5,956 | 30.855615 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/bin/vc_decode.py | #!/usr/bin/env python3
# Copyright 2020 Nagoya University (Wen-Chin Huang)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""VC decoding script."""
import configargparse
import logging
import os
import subprocess
import sys
from espnet.utils.cli_utils import strtobool
# NOTE: you need this func to ge... | 5,093 | 30.060976 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/bin/asr_align.py | #!/usr/bin/env python3
# encoding: utf-8
# Copyright 2020 Johns Hopkins University (Xuankai Chang)
# 2020, Technische Universität München; Dominik Winkelbauer, Ludwig Kürzinger
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""
This program performs CTC segmentation to align utterances within ... | 13,269 | 36.380282 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/bin/st_train.py | #!/usr/bin/env python3
# encoding: utf-8
# Copyright 2019 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""End-to-end speech translation model training script."""
import logging
import os
import random
import subprocess
import sys
import configargparse
import numpy ... | 17,343 | 30.707495 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/bin/mt_train.py | #!/usr/bin/env python3
# encoding: utf-8
# Copyright 2019 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Neural machine translation model training script."""
import logging
import os
import random
import subprocess
import sys
import configargparse
import numpy as ... | 14,923 | 30.352941 | 88 | py |
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