我正在使用Keras Functional API
第nonNegActivity = K.cast(K.greater_equal(activity,0.05),tf.float32)行应将我的活动转换为bool，然后转换为float32，但在调用fit时出现 TypeError ，说明：
TypeError: Value passed to parameter 'values' has DataType bool not in list of allowed values: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, float16, uint32, uint64
整个模型：
X = Input(shape=(self.Tx,self.kx,))
lstm_regr = LSTM(400,return_sequences=True,activation="tanh")(X)regr = Dense(self.ky)(lstm_regr)
lstm_activity = LSTM(400,return_sequences=True,activation="sigmoid")(X) activity = Dense(self.ky)(lstm_activity)
nonNegActivity = K.cast(K.greater_equal(activity,0.05),tf.float32)
multiplied = Multiply()([nonNegActivity,regr])
out = [multiplied,activity]
model = Model(inputs=X, outputs=out)