Seq2Seq(Attention)Input Shape Question

Seq2Seq(Attention)\Seq2Seq(Attention)-Tensor.py

The shape of the input should be [max_time, batch_size,...]. The input = tf. transpose (dec_inputs, [1, 0, 2]) has already been transformed. In tf. expand_dims (inputs [i], 1), the expansion is indeed one dimension. It seems that there should be zero dimension expansion here. Although the final shape is correct, whether it is intentional or not is here. What about a little trick?

阅读 Seq2Seq(Attention)\Seq2Seq(Attention)-Tensor.py，并跟踪 transpose 和 tf.expand_dims(inputs[i], 1) 表达式中的形状变化。运行示例，并将每个中间形状与所述的 [max_time, batch_size, ...] 预期进行比较。完成意味着确定该扩展是否是有意的，并记录或修正这一行为。

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