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jblitzar
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github-python

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from torch.autograd import Variable
from blocks import softmax, ResBlock
class PredictNetwork(nn.Module):
def __init__(self, ninp, nout, nslots, dropout, nlayers=1):
super(PredictNetwork, self).__init__()
self.ninp = ninp
self.nout = nout
self.nslots = nslots
self.nlayers = nlayers
self.drop = nn.Dropout(dropout)
self.projector_pred = nn.Sequential(nn.Dropout(dropout),
nn.Linear(ninp, ninp),
nn.Dropout(dropout))
if nlayers > 0:
self.res = ResBlock(ninp*2, nout, dropout, nlayers)
else:
self.res = None
self.ffd = nn.Sequential(nn.Dropout(dropout),
nn.Linear(ninp * 2, nout),
nn.BatchNorm1d(nout),
nn.Tanh()
)
def forward(self, input, input_memory):
input = torch.cat([input, input_memory], dim=1)
if self.nlayers > 0:
input = self.res(input)
output = self.ffd(input)
return output
def attention(self, input, memory, gate_time):
key = self.projector_pred(input)
# select memory to use
logits = torch.bmm(memory, key[:, :, None]).squeeze(2)
logits = logits / math.sqrt(self.ninp)
attention = softmax(logits, gate_time)
selected_memory_h = (memory * attention[:, :, None]).sum(dim=1)
memory = torch.cat([input[:, None, :], memory[:, :-1, :]], dim=1)
return selected_memory_h, memory, attention
def init_hidden(self, bsz):
weight = next(self.parameters()).data
self.ones = Variable(weight.new(bsz, 1).zero_() + 1.)
return Variable(weight.new(bsz, self.nslots, self.ninp).zero_())
# <FILESEP>
# gz： 即gzip。通常仅仅能压缩一个文件。与tar结合起来就能够实现先打包，再压缩。
# tar： linux系统下的打包工具。仅仅打包。不压缩
# tgz：即tar.gz。先用tar打包，然后再用gz压缩得到的文件
# zip： 不同于gzip。尽管使用相似的算法，能够打包压缩多个文件。只是分别压缩文件。压缩率低于tar。
# rar：打包压缩文件。最初用于DOS，基于window操作系统。
import gzip
import os
import tarfile
import zipfile
import rarfile
# 根据输入的字符串确定解压方式
def decompress_path(file_path, file_name, way):
if way == 'auto':
decompress_to = file_path
# 因为解压后是很多文件，预先建立同名目录
elif way is not '':
if os.path.isdir(way):
pass
else:
os.mkdir(way)
decompress_to = way + '/'
else:
if os.path.isdir(file_name + '_files'):
pass
else:
os.mkdir(file_name + '_files')
decompress_to = file_name + '_files/'
return decompress_to
# gz
# 因为gz一般仅仅压缩一个文件，全部常与其它打包工具一起工作。比方能够先用tar打包为XXX.tar,然后在压缩为XXX.tar.gz
# 解压gz，事实上就是读出当中的单一文件
def un_gz(file_path, file_name, way):
"""ungz zip file"""
f_name = (file_path + '/' + file_name).replace('.gz', '')
# 获取文件的名称，去掉
g_file = gzip.GzipFile(file_path + '/' + file_name)
# 创建gzip对象
open(f_name, 'w+').write(g_file.read())
# gzip对象用read()打开后，写入open()建立的文件里。
g_file.close()