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from torch.autograd import Variable
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from blocks import softmax, ResBlock
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class PredictNetwork(nn.Module):
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def __init__(self, ninp, nout, nslots, dropout, nlayers=1):
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super(PredictNetwork, self).__init__()
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self.ninp = ninp
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self.nout = nout
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self.nslots = nslots
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self.nlayers = nlayers
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self.drop = nn.Dropout(dropout)
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self.projector_pred = nn.Sequential(nn.Dropout(dropout),
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nn.Linear(ninp, ninp),
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nn.Dropout(dropout))
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if nlayers > 0:
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self.res = ResBlock(ninp*2, nout, dropout, nlayers)
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else:
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self.res = None
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self.ffd = nn.Sequential(nn.Dropout(dropout),
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nn.Linear(ninp * 2, nout),
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nn.BatchNorm1d(nout),
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nn.Tanh()
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)
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def forward(self, input, input_memory):
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input = torch.cat([input, input_memory], dim=1)
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if self.nlayers > 0:
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input = self.res(input)
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output = self.ffd(input)
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return output
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def attention(self, input, memory, gate_time):
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key = self.projector_pred(input)
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# select memory to use
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logits = torch.bmm(memory, key[:, :, None]).squeeze(2)
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logits = logits / math.sqrt(self.ninp)
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attention = softmax(logits, gate_time)
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selected_memory_h = (memory * attention[:, :, None]).sum(dim=1)
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memory = torch.cat([input[:, None, :], memory[:, :-1, :]], dim=1)
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return selected_memory_h, memory, attention
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def init_hidden(self, bsz):
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weight = next(self.parameters()).data
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self.ones = Variable(weight.new(bsz, 1).zero_() + 1.)
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return Variable(weight.new(bsz, self.nslots, self.ninp).zero_())
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# <FILESEP>
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# 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。
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# tar： linux系统下的打包工具。仅仅打包。不压缩
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# tgz：即tar.gz。先用tar打包，然后再用gz压缩得到的文件
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# 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。
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# rar：打包压缩文件。最初用于DOS，基于window操作系统。
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import gzip
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import os
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import tarfile
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import zipfile
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import rarfile
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# 根据输入的字符串确定解压方式
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def decompress_path(file_path, file_name, way):
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if way == 'auto':
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decompress_to = file_path
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# 因为解压后是很多文件，预先建立同名目录
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elif way is not '':
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if os.path.isdir(way):
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pass
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else:
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os.mkdir(way)
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decompress_to = way + '/'
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else:
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if os.path.isdir(file_name + '_files'):
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pass
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else:
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os.mkdir(file_name + '_files')
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decompress_to = file_name + '_files/'
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return decompress_to
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# gz
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# 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
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# 解压gz，事实上就是读出当中的单一文件
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def un_gz(file_path, file_name, way):
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"""ungz zip file"""
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f_name = (file_path + '/' + file_name).replace('.gz', '')
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# 获取文件的名称，去掉
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g_file = gzip.GzipFile(file_path + '/' + file_name)
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# 创建gzip对象
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open(f_name, 'w+').write(g_file.read())
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# gzip对象用read()打开后，写入open()建立的文件里。
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g_file.close()
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