# Copyright 2019 The Texar Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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"""
Various convolutional network encoders.
"""
from typing import Dict, Optional, Any
from texar.torch.modules.encoders.encoder_base import EncoderBase
from texar.torch.modules.networks.conv_networks import Conv1DNetwork
__all__ = [
"Conv1DEncoder",
]
[docs]class Conv1DEncoder(Conv1DNetwork, EncoderBase):
r"""Simple `Conv-1D` encoder which consists of a sequence of convolutional
layers followed with a sequence of dense layers.
Wraps :class:`~texar.torch.modules.Conv1DNetwork` to be a subclass of
:class:`~texar.torch.modules.EncoderBase`. Has exact the same functionality
with :class:`~texar.torch.modules.Conv1DNetwork`.
"""
def __init__(self, in_channels: int, in_features: Optional[int] = None,
hparams=None):
super().__init__(in_channels=in_channels,
in_features=in_features,
hparams=hparams)
[docs] @staticmethod
def default_hparams() -> Dict[str, Any]:
r"""Returns a dictionary of hyperparameters with default values.
The same as :meth:`~texar.torch.modules.Conv1DNetwork.default_hparams`
of :class:`~texar.torch.modules.Conv1DNetwork`, except that the default
name is ``"conv_encoder"``.
"""
hparams = Conv1DNetwork.default_hparams()
hparams['name'] = 'conv_encoder'
return hparams