def buildManyToManyModel(shape):
  model = Sequential()
  model.add(LSTM(10, input_shape=(shape[1], shape[2]), return_sequences=True))
  # output shape: (5, 1)
  model.add(TimeDistributed(Dense(1)))
  model.compile(loss="mean_square_error", optimizer="adam")
  model.summary()
  return model