chainer's Convolution1D

convolution_1d.py

import chainer


class Convolution1D(chainer.links.ConvolutionND):
    def __init__(self, in_channels, out_channels, ksize, stride=1, pad=0,
                 nobias=False, initialW=None, initial_bias=None,
                 cover_all=False):
        super(Convolution1D, self).__init__(
            ndim=1,
            in_channels=in_channels,
            out_channels=out_channels,
            ksize=ksize,
            stride=stride,
            pad=pad,
            nobias=nobias,
            initialW=initialW,
            initial_bias=initial_bias,
            cover_all=cover_all,
        )