def output(self, use_dropout=False, depth=0):
""" Provides data to next layer and applies dropout """
ret = self.input_layer
if use_dropout:
num_str = NNl.get_num_streams(np.prod(self.out_shape))
mask = NNl.gen_mask(self.srng, self.out_shape, self.p_retain,
num_str)
ret *= mask / self.p_retain
return ret
def output(self, use_dropout=False, depth=0):
""" Apply the activation and dropout to the signal, producing
output that will be used by subsequent layers
"""
out = self.activation(self.signal(use_dropout=use_dropout, depth=depth))
c_shape = self.out_shape
if use_dropout:
num_str = NNl.get_num_streams(np.prod(c_shape))
mask = NNl.gen_mask(self.srng, c_shape, self.p_retain, num_str)
out = out * mask / self.p_retain
return out
