我正在尝试通过在输入中添加四个数字来重新构建一个用于玩井字游戏的网络。那些。事实证明，输入是一个字段和四个附加数字。调用Concatenate方法时，执行崩溃：
A `Concatenate` layer requires inputs with matching shapes except for the concatenation axis. Received: input_shape=[(None, 5, 5), (None, 4)]
告诉我如何修复这个错误。
网：
class TicTacToeNNet():
def __init__(self, game, args):
# game params
self.board_x, self.board_y = game.getBoardSize()
self.action_size = game.getActionSize()
self.args = args
# Neural Net
input1 = Input(shape=(self.board_x, self.board_y)) # s: batch_size x board_x x board_y
input2 = Input(shape=(4,))
merged = Concatenate(axis=1)([input1, input2])
h_conv1 = Activation('relu')(BatchNormalization(axis=3)(Conv2D(args.num_channels, 3, padding='same')(merged))) # batch_size x board_x x board_y x num_channels
h_conv2 = Activation('relu')(BatchNormalization(axis=3)(Conv2D(args.num_channels, 3, padding='same')(h_conv1))) # batch_size x board_x x board_y x num_channels
h_conv3 = Activation('relu')(BatchNormalization(axis=3)(Conv2D(args.num_channels, 3, padding='same')(h_conv2))) # batch_size x (board_x) x (board_y) x num_channels
h_conv4 = Activation('relu')(BatchNormalization(axis=3)(Conv2D(args.num_channels, 3, padding='valid')(h_conv3))) # batch_size x (board_x-2) x (board_y-2) x num_channels
h_conv4_flat = Flatten()(h_conv4)
s_fc1 = Dropout(args.dropout)(Activation('relu')(BatchNormalization(axis=1)(Dense(1024)(h_conv4_flat)))) # batch_size x 1024
s_fc2 = Dropout(args.dropout)(Activation('relu')(BatchNormalization(axis=1)(Dense(512)(s_fc1)))) # batch_size x 1024
self.pi = Dense(self.action_size, activation='softmax', name='pi')(s_fc2) # batch_size x self.action_size
self.v = Dense(1, activation='tanh', name='v')(s_fc2) # batch_size x 1
self.model = Model(inputs=self.input_boards, outputs=[self.pi, self.v])
self.model.compile(loss=['categorical_crossentropy','mean_squared_error'], optimizer=Adam(args.lr))