keras LocallyConnected2D 连续建4层（或者更少），就可能会出现模型编译时间超长，狂占GPU显存的问题。原因没有找到。
input = layers.Input(shape = (window_size, factor_num, 1))model = layers.LocallyConnected2D(8, kernel_size = (1,1))(input)model = layers.BatchNormalization(axis=-1, momentum=momentum)(model) model = layers.Activation("relu")(model)model = layers.LocallyConnected2D(8, kernel_size = (1,1))(model)model = layers.BatchNormalization(axis=-1, momentum=momentum)(model) model = layers.Activation("relu")(model)model = layers.LocallyConnected2D(1, kernel_size = (1,factor_num))(model)model = layers.BatchNormalization(axis=-1, momentum=momentum)(model) model = layers.Activation("relu")(model) model = layers.Reshape((-1,))(model)model = dense(model,32)model = layers.Dense(1)(model)model = Model(inputs = input, outputs = model)model.compile(loss = "mse", optimizer = opt, metrics = [r_square])