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?