ValueError：检查输入时出错：预期输入具有3个维度，但数组的形状为（100,1）

Question

我一直在尝试建立一个模型，该模型可以接受形状（None，1）的输入并将形状输出为（None，1）。我的模型摘要如下：-

---

______________________________________________________________
Layer (type)                 Output Shape              Param #
=================================================================
input (InputLayer)           (1, None, 1)              0
_________________________________________________________________
dense1 (Dense)               (1, None, 32)             64
_________________________________________________________________
dense2 (Dense)               (1, None, 64)             2112
_________________________________________________________________
out (Dense)                  (1, None, 1)              65
=================================================================
Total params: 2,241
Trainable params: 2,241
Non-trainable params: 0
_________________________________________________________________

但是我遇到了错误

ValueError: Error when checking input: expected input to have 3 dimensions, but got array with shape (91912, 1)

我在这个问题上停留了很长时间。