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我在最新的官方文档上看到 RNN 的输入形状是这样的 [time_steps, batch_size, num_features],它的 batch 在第二维,因为同时给出了一个例子,应该不是输入错误; 然后我看到 TL 的文档里输入是 [batch_size, n_steps, n_features] 是TL在内部重新做了处理吗,还是两种都可以?
[time_steps, batch_size, num_features]
[batch_size, n_steps, n_features]
The text was updated successfully, but these errors were encountered:
OK,我知道是怎么处理的了 (cell_output, state) = cell(self.inputs[:, time_step, :], state)
(cell_output, state) = cell(self.inputs[:, time_step, :], state)
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我在最新的官方文档上看到 RNN 的输入形状是这样的
[time_steps, batch_size, num_features]
,它的 batch 在第二维,因为同时给出了一个例子,应该不是输入错误;然后我看到 TL 的文档里输入是
[batch_size, n_steps, n_features]
是TL在内部重新做了处理吗,还是两种都可以?
The text was updated successfully, but these errors were encountered: