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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 = []
self.fixed = False
def fix(self):
Fix the block, register all the parameters of sub layers.
:return:
if not self.fixed:
for layer in self.layers:
if not layer.initialized:
raise Exception("All sub layers in a block must be initialized when fixing it.")
self.register_inner_layers(layer)
self.fixed = True
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 self.fixed:
raise Exception("After a block is fixed, no more layers can be registered.")
self.layers.append(layer)
def compute_tensor(self, x):
return x
def compute_test_tesnor(self, x):
@property
def all_parameters(self):
return self.parameters
zomux /
deepy
