Tensorflow : LSTM模型中的形状错误应为shape=(None，None，90)，找到shape=[90，1，78]

import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import LSTM, Dense

# 假设输入数据的形状为 (num_samples, time_steps, num_features)
input_shape = (None, 90)  # 注意这里的 None 表示 batch_size 可变

model = Sequential([
    LSTM(64, input_shape=input_shape),
    Dense(1)
])

model.summary()