convolution_1d.py 文件源码

def __init__(self, in_channels, out_channels, ksize, stride=1, pad=0, initialV=None, nobias=False, cover_all=False):
        super(Convolution1D, self).__init__()
        ksize = conv_nd.as_tuple(ksize, 1)
        self.ksize = ksize
        self.nobias = nobias
        self.stride = stride
        self.pad = pad
        self.out_channels = out_channels
        self.in_channels = in_channels
        self.cover_all = cover_all

        self.initialV = initialV

        with self.init_scope():
            V_shape = (out_channels, in_channels) + ksize
            initialV = initializers._get_initializer(initialV)
            self.V = Parameter(initialV, V_shape)

        if nobias:
            self.b = None