def create_convolution(size, depth, winlen):
conv_actfun = activation.tanh
return layers.Serial(
[layers.Convolution(3, size, winlen, stride=1, fun=conv_actfun)] +
[layers.Residual(layers.Convolution(size, size, winlen, stride=1, fun=conv_actfun)) for _ in range(depth)] +
[layers.Convolution(size, 3, winlen, stride=1, fun=activation.linear)]
)
def setUp(self):
sublayer = nn.FeedForward(12, 12, has_bias=True)
self.layer = nn.Residual(sublayer)