尝试

train_x_list = [tf.squeeze(tx) for tx in tf.split(train_x, num_or_size_splits=train_x.shape[0], axis=0)]

它将生成张量的列表，其中训练数据沿维度0拆分。然后使用第二个解决方案，将列表馈送到 fit（）。

it will produce a list of tensors with training data split along dimension 0. Then use your second solution, feeding the list to fit().