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6.5.2 RNN简洁实现,使用相邻采样时,state在新的epoch中未被初始化 #161

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jianli-Alex opened this issue Nov 6, 2020 · 0 comments
Open

6.5.2 RNN简洁实现,使用相邻采样时,state在新的epoch中未被初始化 #161

jianli-Alex opened this issue Nov 6, 2020 · 0 comments

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@jianli-Alex
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bug描述
2020-11-06 16-43-35 的屏幕截图
state = None放在了for epoch in range(num_epochs)上. 因此,在新的epoch中,state实际上没有被初始化,而是使用上一epoch最后一次迭代最后一个时间步的state, 这样并不合理.
要把state = None放在了for epoch in range(num_epochs)下面,for X, Y in data_iter上面

版本信息
pytorch: 1.6.0
torchvision: 0.7.0
torchtext:
...
@jianli-Alex jianli-Alex changed the title 6.5.2 RNN简单实现使用相邻采样时,state在新的epoch中未被初始化 6.5.2 RNN简单实现,使用相邻采样时,state在新的epoch中未被初始化 Nov 6, 2020
@jianli-Alex jianli-Alex changed the title 6.5.2 RNN简单实现,使用相邻采样时,state在新的epoch中未被初始化 6.5.2 RNN简洁实现,使用相邻采样时,state在新的epoch中未被初始化 Nov 6, 2020
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