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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from layer import NeuralLayer
class Block(NeuralLayer):
"""
Create a block, which contains the parameters of many connected layers.
def __init__(self):
super(Block, self).__init__("block")
self.layers = []
def register(self, *layers):
Register many connected layers.
:type layers: list of NeuralLayer
for layer in layers:
self.register_layer(layer)
def register_layer(self, layer):
Register one connected layer.
:type layer: NeuralLayer
if not layer.connected:
raise SystemError("%s is not connected, call `compute` before register it" % str(layer))
self.layers.append(layer)
self.register_inner_layers(layer)
def output(self, x):
return x
def test_output(self, x):
uaca /
deepy
